2018 |
Al-Hiyali, M Saya; Ishak, A J; Harun, H; Ahmad, S A; Sulaiman, Wan W A Tinjauan dalam mengubah suai tingkah laku pengambilan makanan oleh rangsangan otak: Kes berat badan berlebihan Artikel Jurnal Kuantologi Neuro, 16 (12), hlm. 86-97, 2018, ISSN: 13035150, (dipetik oleh 2). Abstrak | Pautan | BibTeX | Tag: Amygdala, Anoksia, Artikel, Autisme, Gangguan pesta minum-minum makan, Berat badan, Berat badan, Rangsangan Kedalaman Otak, Depolarisasi, Pengambilan diet, Keinginan Dadah, Gangguan Makan, Arus elektrik, Elektroencephalogram, Elektroensefalografi, Penggunaan tenaga, Penggunaan tenaga, Tingkah Laku Makan, Pengambilan makanan, Pengimejan Resonans Magnetik Berfungsi, Jantina, Status kesihatan, Homeostasis, Manusia, Kelaparan, Gaya hidup, Potensi Mantap Membran Sel Saraf, Keseronokan Saraf, Neurofeedback, Neuromodulasi, Penilaian Pemakanan, Penilaian Hasil, Soal selidik, Rangsangan Magnetik Transkranial Berulang, Pemprosesan isyarat, Latihan, Rangsangan Arus Langsung Transkranial, Rangsangan Magnetik Transkranial, Berat badan kurang @artikel{Al-Hiyali201886, tajuk = {Tinjauan dalam mengubah suai tingkah laku pengambilan makanan oleh rangsangan otak: Kes berat badan berlebihan}, pengarang = {M I Al-Hiyali dan A J Ishak dan H Harun dan S A Ahmad dan W A Wan Sulaiman}, url = {https://www.scopus.com/inward/record.uri?eid = 2-s2.0-85062843670&doi = 10.14704% 2fnq.2018.16.12.1894&rakan kongsi = 40&md5 = 235f66cef05a144be23472641f70bd1d}, doi = {10.14704/nq.2018.16.12.1894}, terbitan = {13035150}, tahun = {2018}, tarikh = {2018-01-01}, jurnal = {Kuantologi Neuro}, isi padu = {16}, nombor = {12}, halaman = {86-97}, penerbit = {Penerbit Anka}, abstrak = {Obesiti dan berat badan berlebihan sering ditetapkan untuk disfungsi dalam tingkah laku pengambilan makanan. Kerana banyaknya kegemukan pada tahun lalu, terdapat permintaan untuk lebih banyak kajian yang bertujuan untuk mengubah tingkah laku pengambilan makanan. Selama beberapa dekad yang lalu, banyak kajian telah dilakukan untuk mengubah pengambilan makanan melalui latihan otak atau rangsangan. Ulasan ini untuk kajian neurosains dalam mengubah tingkah laku pengambilan makanan, ia melibatkan tiga bahagian; Bahagian pertama menjelaskan peranan aktiviti otak dalam peraturan pengambilan makanan, idea umum mengenai alat bioperubatan dalam tingkah laku pengambilan makanan dibincangkan di bahagian kedua dan bahagian ketiga yang difokuskan pada sistem rangsangan otak. Akhirnya, makalah ini disimpulkan dengan perkara utama yang perlu diambil kira semasa merancang kajian eksperimental untuk mengubah tingkah laku pengambilan makanan oleh rangsangan otak mengikut cadangan dan cabaran kajian sebelumnya. © 2018, Penerbit Anka. Hak cipta terpelihara.}, nota = {dipetik oleh 2}, kata kunci = {Amygdala, Anoksia, Artikel, Autisme, Gangguan pesta minum-minum makan, Berat badan, Berat badan, Rangsangan Kedalaman Otak, Depolarisasi, Pengambilan diet, Keinginan Dadah, Gangguan Makan, Arus elektrik, Elektroencephalogram, Elektroensefalografi, Penggunaan tenaga, Penggunaan tenaga, Tingkah Laku Makan, Pengambilan makanan, Pengimejan Resonans Magnetik Berfungsi, Jantina, Status kesihatan, Homeostasis, Manusia, Kelaparan, Gaya hidup, Potensi Mantap Membran Sel Saraf, Keseronokan Saraf, Neurofeedback, Neuromodulasi, Penilaian Pemakanan, Penilaian Hasil, Soal selidik, Rangsangan Magnetik Transkranial Berulang, Pemprosesan isyarat, Latihan, Rangsangan Arus Langsung Transkranial, Rangsangan Magnetik Transkranial, Berat badan kurang}, pubstate = {diterbitkan}, tppubtype = {artikel} } Obesiti dan berat badan berlebihan sering ditetapkan untuk disfungsi dalam tingkah laku pengambilan makanan. Kerana banyaknya kegemukan pada tahun lalu, terdapat permintaan untuk lebih banyak kajian yang bertujuan untuk mengubah tingkah laku pengambilan makanan. Selama beberapa dekad yang lalu, banyak kajian telah dilakukan untuk mengubah pengambilan makanan melalui latihan otak atau rangsangan. Ulasan ini untuk kajian neurosains dalam mengubah tingkah laku pengambilan makanan, ia melibatkan tiga bahagian; Bahagian pertama menjelaskan peranan aktiviti otak dalam peraturan pengambilan makanan, idea umum mengenai alat bioperubatan dalam tingkah laku pengambilan makanan dibincangkan di bahagian kedua dan bahagian ketiga yang difokuskan pada sistem rangsangan otak. Akhirnya, makalah ini disimpulkan dengan perkara utama yang perlu diambil kira semasa merancang kajian eksperimental untuk mengubah tingkah laku pengambilan makanan oleh rangsangan otak mengikut cadangan dan cabaran kajian sebelumnya. © 2018, Penerbit Anka. Hak cipta terpelihara. |
Tsuchida, N; Hamada, K; Shiina, M; Kato, M; Kobayashi, Y; Tohyama, J; Kimura, K; Hoshino, K; Ganesan, V; Teik, K W; Nakashima, M; Mitsuhashi, S; Mizuguchi, T; Takata, A; Miyake, N; Saitsu, H; Ogata, K; Miyatake, S; Matsumoto, N GRIN2D variants in three cases of developmental and epileptic encephalopathy Artikel Jurnal Clinical Genetics, 94 (6), hlm. 538-547, 2018, ISSN: 00099163, (dipetik oleh 4). Abstrak | Pautan | BibTeX | Tag: Remaja, Allele, Amino Acid Sequence, Amino Acid Substitution, Amino Terminal Sequence, Anemia, Antibiotic Agent, Antibiotic Therapy, Artikel, Atonic Seizure, Gangguan Defisit Perhatian, Autisme, Binding Affinity, Otak, Brain Atrophy, Carbamazepine, Laporan kes, Channel Gating, Kimia, Anak-anak, Artikel Klinikal, Clinical Feature, Clobazam, Clonazepam, Conformational Transition, Continuous Infusion, Contracture, Crystal Structure, Cysteine Ethyl Ester Tc 99m, Kelewatan Perkembangan, Gangguan Perkembangan, Elektroencephalogram, Elektroensefalografi, Epilepsi, Epileptic Discharge, Ethosuximide, Eye Tracking, Febrile Convulsion, Perempuan, Frontal Lobe Epilepsy, Gen, Gene Frequency, Genetic Variation, Genetik, Genotype, GRIN2D Protein, Heterozygosity, Home Oxygen Therapy, Manusia, Sel Manusia, Hydrogen Bond, Kemerosotan Intelektual, Intelligence Quotient, Intractable Epilepsy, Ketamine, Lacosamide, Lamotrigine, Lennox Gastaut Syndrome, Levetiracetam, Magnetoencephalography, Lelaki, Maternal Hypertension, Melatonin, Migraine, Missense Mutation, Molecular Dynamics, Molecular Dynamics Simulation, Mutation, Myoclonus Seizure, N Methyl Dextro Aspartic Acid Receptor, N Methyl Dextro Aspartic Acid Receptor 2D, N-Methyl-D-Aspartate, Neonatal Pneumonia, Neonatal Respiratory Distress Syndrome, Neuroimaging, Nuclear Magnetic Resonance Imaging, Phenobarbital, Premature Labor, Prasekolah, Kanak-kanak Prasekolah, Jurnal Keutamaan, Protein Conformation, Proximal Interphalangeal Joint, Pyridoxine, Receptors, Respiratory Arrest, Sanger Sequencing, Budak sekolah, Single Photon Emission Computed Tomography, Sleep Disordered Breathing, Static Electricity, Stridor, Structure-Activity Relationship, Subglottic Stenosis, Superior Temporal Gyrus, Supramarginal Gyrus, Thiopental, Tonic Seizure, Valproic Acid, Wakefulness, Wechsler Intelligence Scale for Children, Whole Exome Sequencing @artikel{Tsuchida2018538, tajuk = {GRIN2D variants in three cases of developmental and epileptic encephalopathy}, pengarang = {N Tsuchida and K Hamada and M Shiina and M Kato and Y Kobayashi and J Tohyama and K Kimura and K Hoshino and V Ganesan and K W Teik and M Nakashima and S Mitsuhashi and T Mizuguchi and A Takata and N Miyake and H Saitsu and K Ogata and S Miyatake and N Matsumoto}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056487337&doi=10.1111%2fcge.13454&rakan kongsi = 40&md5=f0d32670db57261820bc244943cffd62}, doi = {10.1111/cge.13454}, terbitan = {00099163}, tahun = {2018}, tarikh = {2018-01-01}, jurnal = {Clinical Genetics}, isi padu = {94}, nombor = {6}, halaman = {538-547}, penerbit = {Blackwell Publishing Ltd}, abstrak = {N-methyl-d-aspartate (NMDA) receptors are glutamate-activated ion channels that are widely distributed in the central nervous system and essential for brain development and function. Dysfunction of NMDA receptors has been associated with various neurodevelopmental disorders. Baru-baru ini, a de novo recurrent GRIN2D missense variant was found in two unrelated patients with developmental and epileptic encephalopathy. Dalam kajian ini, we identified by whole exome sequencing novel heterozygous GRIN2D missense variants in three unrelated patients with severe developmental delay and intractable epilepsy. All altered residues were highly conserved across vertebrates and among the four GluN2 subunits. Structural consideration indicated that all three variants are probably to impair GluN2D function, either by affecting intersubunit interaction or altering channel gating activity. We assessed the clinical features of our three cases and compared them to those of the two previously reported GRIN2D variant cases, and found that they all show similar clinical features. This study provides further evidence of GRIN2D variants being causal for epilepsy. Genetic diagnosis for GluN2-related disorders may be clinically useful when considering drug therapy targeting NMDA receptors. © 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd}, nota = {dipetik oleh 4}, kata kunci = {Remaja, Allele, Amino Acid Sequence, Amino Acid Substitution, Amino Terminal Sequence, Anemia, Antibiotic Agent, Antibiotic Therapy, Artikel, Atonic Seizure, Gangguan Defisit Perhatian, Autisme, Binding Affinity, Otak, Brain Atrophy, Carbamazepine, Laporan kes, Channel Gating, Kimia, Anak-anak, Artikel Klinikal, Clinical Feature, Clobazam, Clonazepam, Conformational Transition, Continuous Infusion, Contracture, Crystal Structure, Cysteine Ethyl Ester Tc 99m, Kelewatan Perkembangan, Gangguan Perkembangan, Elektroencephalogram, Elektroensefalografi, Epilepsi, Epileptic Discharge, Ethosuximide, Eye Tracking, Febrile Convulsion, Perempuan, Frontal Lobe Epilepsy, Gen, Gene Frequency, Genetic Variation, Genetik, Genotype, GRIN2D Protein, Heterozygosity, Home Oxygen Therapy, Manusia, Sel Manusia, Hydrogen Bond, Kemerosotan Intelektual, Intelligence Quotient, Intractable Epilepsy, Ketamine, Lacosamide, Lamotrigine, Lennox Gastaut Syndrome, Levetiracetam, Magnetoencephalography, Lelaki, Maternal Hypertension, Melatonin, Migraine, Missense Mutation, Molecular Dynamics, Molecular Dynamics Simulation, Mutation, Myoclonus Seizure, N Methyl Dextro Aspartic Acid Receptor, N Methyl Dextro Aspartic Acid Receptor 2D, N-Methyl-D-Aspartate, Neonatal Pneumonia, Neonatal Respiratory Distress Syndrome, Neuroimaging, Nuclear Magnetic Resonance Imaging, Phenobarbital, Premature Labor, Prasekolah, Kanak-kanak Prasekolah, Jurnal Keutamaan, Protein Conformation, Proximal Interphalangeal Joint, Pyridoxine, Receptors, Respiratory Arrest, Sanger Sequencing, Budak sekolah, Single Photon Emission Computed Tomography, Sleep Disordered Breathing, Static Electricity, Stridor, Structure-Activity Relationship, Subglottic Stenosis, Superior Temporal Gyrus, Supramarginal Gyrus, Thiopental, Tonic Seizure, Valproic Acid, Wakefulness, Wechsler Intelligence Scale for Children, Whole Exome Sequencing}, pubstate = {diterbitkan}, tppubtype = {artikel} } N-methyl-d-aspartate (NMDA) receptors are glutamate-activated ion channels that are widely distributed in the central nervous system and essential for brain development and function. Dysfunction of NMDA receptors has been associated with various neurodevelopmental disorders. Baru-baru ini, a de novo recurrent GRIN2D missense variant was found in two unrelated patients with developmental and epileptic encephalopathy. Dalam kajian ini, we identified by whole exome sequencing novel heterozygous GRIN2D missense variants in three unrelated patients with severe developmental delay and intractable epilepsy. All altered residues were highly conserved across vertebrates and among the four GluN2 subunits. Structural consideration indicated that all three variants are probably to impair GluN2D function, either by affecting intersubunit interaction or altering channel gating activity. We assessed the clinical features of our three cases and compared them to those of the two previously reported GRIN2D variant cases, and found that they all show similar clinical features. This study provides further evidence of GRIN2D variants being causal for epilepsy. Genetic diagnosis for GluN2-related disorders may be clinically useful when considering drug therapy targeting NMDA receptors. © 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd |
Razi, N I M; Rahman, A W A; Kamaruddin, N Analisis neurofisiologi ketagihan lucah kepada ketidakupayaan pembelajaran Persidangan Institut Jurutera Elektrik dan Elektronik Inc., 2018, ISBN: 9781538675250, (dipetik oleh 2). Abstrak | Pautan | BibTeX | Tag: Gangguan Hiperaktifan Kekurangan Perhatian, Gangguan Spektrum Autisme, Penyakit, Disleksia, Elektroensefalografi, Gangguan Pembelajaran, Neurofisiologi, Neurofisiologi, Ketagihan Lucah @ persidangan{Razi2018272, tajuk = {Analisis neurofisiologi ketagihan lucah kepada ketidakupayaan pembelajaran}, pengarang = {N I M Razi dan AW A Rahman dan N Kamaruddin}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060456087&doi = 10.1109% 2fICT4M.2018.00057&rakan kongsi = 40&md5=40b96e377414d3bed38a2803752c165a}, doi = {10.1109/ICT4M.2018.00057}, isbn = {9781538675250}, tahun = {2018}, tarikh = {2018-01-01}, jurnal = {Prosiding - Persidangan Antarabangsa Teknologi Maklumat dan Komunikasi untuk Dunia Islam 2018, ICT4M 2018}, halaman = {272-277}, penerbit = {Institut Jurutera Elektrik dan Elektronik Inc.}, abstrak = {Ketidakupayaan pembelajaran berpunca daripada keupayaan intelek yang berkurangan yang boleh diperhatikan daripada kekurangan mendengar, bercakap, membaca, menulis, penaakulan, atau kemahiran matematik. Keadaan sedemikian boleh mendedahkan kanak-kanak daripada kandungan lucah yang tidak ditapis yang boleh didapati secara percuma daripada Internet kerana mereka tidak sedar atau mempunyai pemahaman yang minimum tentang kesan negatif kandungan lucah itu.. Pendedahan kepada kandungan lucah yang tidak dipantau boleh mengakibatkan ketagihan lucah kerana ia boleh mencetuskan keseronokan dan keseronokan yang disebabkan. Oleh itu, kertas ini cuba meneroka bukti empirikal korelasi antara ketidakupayaan pembelajaran dan ketagihan pornografi dengan menggunakan electroencephalogram (LIHAT) kanak-kanak dari klinik psikologi swasta. Keputusan eksperimen menunjukkan bahawa, terdapat korelasi yang lemah antara ketidakupayaan pembelajaran berdasarkan jalur frekuensi EEG dan ketagihan lucah. Diharapkan pendekatan sebegini adalah langkah langkah dalam meneroka lebih lanjut hubungan antara ketagihan lucah dan ketidakupayaan pembelajaran. © 2018 IEEE.}, nota = {dipetik oleh 2}, kata kunci = {Gangguan Hiperaktifan Kekurangan Perhatian, Gangguan Spektrum Autisme, Penyakit, Disleksia, Elektroensefalografi, Gangguan Pembelajaran, Neurofisiologi, Neurofisiologi, Ketagihan Lucah}, pubstate = {diterbitkan}, tppubtype = {persidangan} } Ketidakupayaan pembelajaran berpunca daripada keupayaan intelek yang berkurangan yang boleh diperhatikan daripada kekurangan mendengar, bercakap, membaca, menulis, penaakulan, atau kemahiran matematik. Keadaan sedemikian boleh mendedahkan kanak-kanak daripada kandungan lucah yang tidak ditapis yang boleh didapati secara percuma daripada Internet kerana mereka tidak sedar atau mempunyai pemahaman yang minimum tentang kesan negatif kandungan lucah itu.. Pendedahan kepada kandungan lucah yang tidak dipantau boleh mengakibatkan ketagihan lucah kerana ia boleh mencetuskan keseronokan dan keseronokan yang disebabkan. Oleh itu, kertas ini cuba meneroka bukti empirikal korelasi antara ketidakupayaan pembelajaran dan ketagihan pornografi dengan menggunakan electroencephalogram (LIHAT) kanak-kanak dari klinik psikologi swasta. Keputusan eksperimen menunjukkan bahawa, terdapat korelasi yang lemah antara ketidakupayaan pembelajaran berdasarkan jalur frekuensi EEG dan ketagihan lucah. Diharapkan pendekatan sebegini adalah langkah langkah dalam meneroka lebih lanjut hubungan antara ketagihan lucah dan ketidakupayaan pembelajaran. © 2018 IEEE. |
Sudirman, R; Hussin, S S; Airij, A G; Hai, C Z Penunjuk profil untuk kanak-kanak autistik menggunakan potensi biosignal EEG untuk tugas deria Persidangan Institut Jurutera Elektrik dan Elektronik Inc., 2018, ISBN: 9781538612774, (dipetik oleh 0). Abstrak | Pautan | BibTeX | Tag: Kanak-kanak Autistik, Pemprosesan Isyarat Bioperubatan, Otak, Kanak-kanak dengan Autisme, Elektroensefalografi, Elektrofisiologi, Anggaran Entropi, Analisis Komponen Bebas, MATLAB, Rangkaian Neural, Masalah Neurologi, Analisis Deria, Profil Deria, Rangsangan Deria, Paket Wavelet Berubah @ persidangan{Sudirman2018136, tajuk = {Penunjuk profil untuk kanak-kanak autistik menggunakan potensi biosignal EEG untuk tugas deria}, pengarang = {R Sudirman dan SS Hussin dan A G Airij dan C Z Hai}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058032461&doi = 10.1109% 2fICBAPS.2018.8527403&rakan kongsi = 40&md5=30dbb1596f4a0529332713c087bd788d}, doi = {10.1109/ICBAPS.2018.8527403}, isbn = {9781538612774}, tahun = {2018}, tarikh = {2018-01-01}, jurnal = {2nd Persidangan Antarabangsa mengenai Analisis BioSignal, Pemprosesan dan Sistem, ICBAPS 2018}, halaman = {136-141}, penerbit = {Institut Jurutera Elektrik dan Elektronik Inc.}, abstrak = {Elektroensefalografi (LIHAT) ialah ukuran voltan yang disebabkan oleh aktiviti saraf di dalam otak. EEG ialah alat yang disyorkan untuk mendiagnosis masalah neurologi kerana ia tidak invasif dan boleh direkodkan dalam tempoh masa yang lebih lama.. Kanak-kanak Autism Spectrum Disorder (ASD) mengalami kesukaran untuk meluahkan emosi mereka kerana ketidakupayaan mereka memproses maklumat yang betul dalam otak. Oleh itu, penyelidikan ini bertujuan untuk membina profil deria dengan bantuan potensi biosignal EEG untuk membezakan antara tindak balas deria yang berbeza. Isyarat EEG yang diperoleh dalam penyelidikan ini mengenal pasti keadaan emosi yang berbeza seperti berfikiran positif atau super-pembelajaran dan relaksasi ringan dan berada dalam julat frekuensi 8-12 Hertz. 64 kanak-kanak mengambil bahagian dalam penyelidikan ini antaranya 34 adalah kanak-kanak dengan ASD dan 30 adalah kanak-kanak biasa. Data EEG dikod semula manakala semua kanak-kanak dibekalkan dengan vestibular, visual, bunyi, rasa dan rangsangan deria vestibular. Data EEG mentah telah ditapis dengan bantuan analisis komponen bebas (ICA) menggunakan transformasi wavelet dan perisian EEGLAB. Nanti, untuk membina profil deria, penghampiran entropi, min dan sisihan piawai telah diekstrak daripada isyarat EEG yang ditapis. Bersama-sama dengan itu, data EEG yang ditapis juga disalurkan ke rangkaian saraf (NN) algoritma yang telah dilaksanakan dalam MATLAB. Keputusan daripada isyarat EEG yang diperoleh menggambarkan bahawa semasa fasa rangsangan deria, respons semua kanak-kanak autisme berada dalam keadaan tidak stabil. Penemuan ini akan melengkapkan dan membantu strategi pembelajaran mereka pada masa hadapan. © 2018 IEEE.}, nota = {dipetik oleh 0}, kata kunci = {Kanak-kanak Autistik, Pemprosesan Isyarat Bioperubatan, Otak, Kanak-kanak dengan Autisme, Elektroensefalografi, Elektrofisiologi, Anggaran Entropi, Analisis Komponen Bebas, MATLAB, Rangkaian Neural, Masalah Neurologi, Analisis Deria, Profil Deria, Rangsangan Deria, Paket Wavelet Berubah}, pubstate = {diterbitkan}, tppubtype = {persidangan} } Elektroensefalografi (LIHAT) ialah ukuran voltan yang disebabkan oleh aktiviti saraf di dalam otak. EEG ialah alat yang disyorkan untuk mendiagnosis masalah neurologi kerana ia tidak invasif dan boleh direkodkan dalam tempoh masa yang lebih lama.. Kanak-kanak Autism Spectrum Disorder (ASD) mengalami kesukaran untuk meluahkan emosi mereka kerana ketidakupayaan mereka memproses maklumat yang betul dalam otak. Oleh itu, penyelidikan ini bertujuan untuk membina profil deria dengan bantuan potensi biosignal EEG untuk membezakan antara tindak balas deria yang berbeza. Isyarat EEG yang diperoleh dalam penyelidikan ini mengenal pasti keadaan emosi yang berbeza seperti berfikiran positif atau super-pembelajaran dan relaksasi ringan dan berada dalam julat frekuensi 8-12 Hertz. 64 kanak-kanak mengambil bahagian dalam penyelidikan ini antaranya 34 adalah kanak-kanak dengan ASD dan 30 adalah kanak-kanak biasa. Data EEG dikod semula manakala semua kanak-kanak dibekalkan dengan vestibular, visual, bunyi, rasa dan rangsangan deria vestibular. Data EEG mentah telah ditapis dengan bantuan analisis komponen bebas (ICA) menggunakan transformasi wavelet dan perisian EEGLAB. Nanti, untuk membina profil deria, penghampiran entropi, min dan sisihan piawai telah diekstrak daripada isyarat EEG yang ditapis. Bersama-sama dengan itu, data EEG yang ditapis juga disalurkan ke rangkaian saraf (NN) algoritma yang telah dilaksanakan dalam MATLAB. Keputusan daripada isyarat EEG yang diperoleh menggambarkan bahawa semasa fasa rangsangan deria, respons semua kanak-kanak autisme berada dalam keadaan tidak stabil. Penemuan ini akan melengkapkan dan membantu strategi pembelajaran mereka pada masa hadapan. © 2018 IEEE. |
Paudel, Y N; Syeikh, M F; Shah, S; Kumari, Y; Othman, Saya Peranan keradangan dalam epilepsi dan komorbiditi neurobehavioral: Implikasi untuk terapi Artikel Jurnal Jurnal Farmakologi Eropah, 837 , hlm. 145-155, 2018, ISSN: 00142999, (dipetik oleh 14). Abstrak | Pautan | BibTeX | Tag: 3 Dioksigenase, Asid Acetylsalicylic, Adalimumab, Anakinra, Haiwan, Agen Anti-Radang, Keresahan, Autacoid, Autisme, Gangguan Spektrum Autisme, Gangguan Tingkah Laku, Belnacasan, Celecoxib, Kognisi, komorbiditi, Komplikasi, Cyclooxygenase 2, Cyclooxygenase 2 Perencat, Sitokin, Sitokin, Kemurungan, Dexmedetomidine, Persatuan Penyakit, Penghantaran Dopaminergik, Elektroencephalogram, Elektroensefalografi, Epilepsi, Epileptogenesis, Esculetin, Protein Kumpulan B1 Mobiliti Tinggi, Manusia, Ibuprofen, Icariin, IImmunoglobulin Enhancer Mengikat Protein, Imunologi, Indoleamine 2, Keradangan, Pengantara Inflamasi, Infliximab, Interleukin 1beta, Interleukin 6, Minocycline, Keplastikan Sel Saraf, Pembangunan Sistem Saraf, Keradangan Sistem Saraf, Peraturan Neuroendokrin, Pelepasan Neurotransmitter, Bukan Manusia, Palmidrol, Paracetamol, Fisiologi, Jurnal Keutamaan, Prostaglandin E2, Psikologi, Kaji semula, SC 51089, Skizofrenia, Reseptor Seperti Tol 4, Mengubah Faktor Pertumbuhan Beta, Tryptophan Hydroxylase, Faktor Nekrosis Tumor, Dadah yang tidak dikelaskan @artikel{Paudel2018145, tajuk = {Peranan keradangan dalam epilepsi dan komorbiditi neurobehavioral: Implikasi untuk terapi}, pengarang = {Y N Paudel dan MF Shaikh dan S Shah dan Y Kumari dan I Othman}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053082063&doi = 10.1016% 2fj.ejphar.2018.08.020&rakan kongsi = 40&md5=27ff0199bae72f156425637a7ad02228}, doi = {10.1016/j.ejphar.2018.08.020}, terbitan = {00142999}, tahun = {2018}, tarikh = {2018-01-01}, jurnal = {Jurnal Farmakologi Eropah}, isi padu = {837}, halaman = {145-155}, penerbit = {Elsevier B.V.}, abstrak = {Epilepsi adalah keadaan yang dahsyat yang menjejaskan sekeliling 70 juta orang di seluruh dunia. Lebih-lebih lagi, kualiti hidup penghidap epilepsi (PWE) diburukkan oleh beberapa siri komorbiditi. Komorbiditi neurobehavioral yang dibincangkan di sini berkongsi hubungan timbal balik dan kompleks dengan epilepsi, yang akhirnya merumitkan proses rawatan di PWE. Memahami laluan mekanistik yang mana komorbiditi ini dikaitkan dengan epilepsi mungkin memainkan peranan penting dalam membangunkan campur tangan terapeutik. Isyarat sitokin radang dalam otak mengawal fungsi otak yang penting termasuk metabolisme neurotransmitter, fungsi neuroendokrin, keplastikan sinaptik, penghantaran dopaminergik, laluan kynurenine, dan menjejaskan neurogenesis serta litar saraf mood. Dalam ulasan ini, kami membuat hipotesis bahawa hubungan kompleks antara epilepsi dan komorbiditi yang berkaitan (kecacatan kognitif, kemurungan, kegelisahan, autisme, dan skizofrenia) boleh dirungkai melalui mekanisme keradangan yang memainkan peranan penting dalam semua keadaan individu ini. Sebilangan besar bukti tersedia melaporkan peranan keradangan dalam epilepsi dan semua keadaan komorbid individu tetapi hubungan kompleks mereka dengan epilepsi masih belum diterokai melalui prospek laluan keradangan.. Kajian kami menunjukkan bahawa epilepsi dan komorbiditi neurobehavioralnya dikaitkan dengan peningkatan tahap beberapa penanda keradangan utama. Kajian ini juga memberi penerangan tentang persatuan mekanistik antara epilepsi dan komorbiditi neurobehavioralnya. Lebih-lebih lagi, kami menganalisis beberapa terapi anti-radang yang tersedia untuk epilepsi dan komorbiditi neurobehavioralnya. Kami mencadangkan, terapi anti-radang ini mungkin merupakan campur tangan yang mungkin dan boleh menjadi strategi yang menjanjikan untuk mencegah epileptogenesis dan komorbiditi neurobehavioral yang berkaitan.. © 2018 Elsevier B.V.}, nota = {dipetik oleh 14}, kata kunci = {3 Dioksigenase, Asid Acetylsalicylic, Adalimumab, Anakinra, Haiwan, Agen Anti-Radang, Keresahan, Autacoid, Autisme, Gangguan Spektrum Autisme, Gangguan Tingkah Laku, Belnacasan, Celecoxib, Kognisi, komorbiditi, Komplikasi, Cyclooxygenase 2, Cyclooxygenase 2 Perencat, Sitokin, Sitokin, Kemurungan, Dexmedetomidine, Persatuan Penyakit, Penghantaran Dopaminergik, Elektroencephalogram, Elektroensefalografi, Epilepsi, Epileptogenesis, Esculetin, Protein Kumpulan B1 Mobiliti Tinggi, Manusia, Ibuprofen, Icariin, IImmunoglobulin Enhancer Mengikat Protein, Imunologi, Indoleamine 2, Keradangan, Pengantara Inflamasi, Infliximab, Interleukin 1beta, Interleukin 6, Minocycline, Keplastikan Sel Saraf, Pembangunan Sistem Saraf, Keradangan Sistem Saraf, Peraturan Neuroendokrin, Pelepasan Neurotransmitter, Bukan Manusia, Palmidrol, Paracetamol, Fisiologi, Jurnal Keutamaan, Prostaglandin E2, Psikologi, Kaji semula, SC 51089, Skizofrenia, Reseptor Seperti Tol 4, Mengubah Faktor Pertumbuhan Beta, Tryptophan Hydroxylase, Faktor Nekrosis Tumor, Dadah yang tidak dikelaskan}, pubstate = {diterbitkan}, tppubtype = {artikel} } Epilepsi adalah keadaan yang dahsyat yang menjejaskan sekeliling 70 juta orang di seluruh dunia. Lebih-lebih lagi, kualiti hidup penghidap epilepsi (PWE) diburukkan oleh beberapa siri komorbiditi. Komorbiditi neurobehavioral yang dibincangkan di sini berkongsi hubungan timbal balik dan kompleks dengan epilepsi, yang akhirnya merumitkan proses rawatan di PWE. Memahami laluan mekanistik yang mana komorbiditi ini dikaitkan dengan epilepsi mungkin memainkan peranan penting dalam membangunkan campur tangan terapeutik. Isyarat sitokin radang dalam otak mengawal fungsi otak yang penting termasuk metabolisme neurotransmitter, fungsi neuroendokrin, keplastikan sinaptik, penghantaran dopaminergik, laluan kynurenine, dan menjejaskan neurogenesis serta litar saraf mood. Dalam ulasan ini, kami membuat hipotesis bahawa hubungan kompleks antara epilepsi dan komorbiditi yang berkaitan (kecacatan kognitif, kemurungan, kegelisahan, autisme, dan skizofrenia) boleh dirungkai melalui mekanisme keradangan yang memainkan peranan penting dalam semua keadaan individu ini. Sebilangan besar bukti tersedia melaporkan peranan keradangan dalam epilepsi dan semua keadaan komorbid individu tetapi hubungan kompleks mereka dengan epilepsi masih belum diterokai melalui prospek laluan keradangan.. Kajian kami menunjukkan bahawa epilepsi dan komorbiditi neurobehavioralnya dikaitkan dengan peningkatan tahap beberapa penanda keradangan utama. Kajian ini juga memberi penerangan tentang persatuan mekanistik antara epilepsi dan komorbiditi neurobehavioralnya. Lebih-lebih lagi, kami menganalisis beberapa terapi anti-radang yang tersedia untuk epilepsi dan komorbiditi neurobehavioralnya. Kami mencadangkan, terapi anti-radang ini mungkin merupakan campur tangan yang mungkin dan boleh menjadi strategi yang menjanjikan untuk mencegah epileptogenesis dan komorbiditi neurobehavioral yang berkaitan.. © 2018 Elsevier B.V. |
2015 |
Khosrowabadi, R; Quek, C; Ang, K K; Wahab, A; Chen, Annabel S -H Dynamic screening of autistic children in various mental states using pattern of connectivity between brain regions Artikel Jurnal Applied Soft Computing Journal, 32 , hlm. 335-346, 2015, ISSN: 15684946, (dipetik oleh 6). Abstrak | Pautan | BibTeX | Tag: Gangguan Spektrum Autisme, Pemprosesan Isyarat Bioperubatan, Otak, Connectivity Feature, Connectivity Pattern, Penyakit, Elektroensefalografi, Face Perceptions, Pengekstrakan Ciri, Functional Connectivity, Pengecaman Corak, Pattern Recognition Techniques @artikel{Khosrowabadi2015335, tajuk = {Dynamic screening of autistic children in various mental states using pattern of connectivity between brain regions}, pengarang = {R Khosrowabadi and C Quek and K K Ang and A Wahab and S -H Annabel Chen}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927922520&doi=10.1016%2fj.asoc.2015.03.030&rakan kongsi = 40&md5=5973f80db5649e5c61e344907819a18b}, doi = {10.1016/j.asoc.2015.03.030}, terbitan = {15684946}, tahun = {2015}, tarikh = {2015-01-01}, jurnal = {Applied Soft Computing Journal}, isi padu = {32}, halaman = {335-346}, penerbit = {Elsevier Ltd.}, abstrak = {Dalam kajian ini, a dynamic screening strategy is proposed to discriminate subjects with autistic spectrum disorder (ASD) from healthy controls. The ASD is defined as a neurodevelopmental disorder that disrupts normal patterns of connectivity between the brain regions. Oleh itu, the potential use of such abnormality for autism screening is investigated. The connectivity patterns are estimated from electroencephalogram (LIHAT) data collected from 8 brain regions under various mental states. The EEG data of 12 healthy controls and 6 kanak-kanak autistik (age matched in 7-10) were collected during eyes-open and eyes-close resting states as well as when subjects were exposed to affective faces (happy, sad and calm). Subsequently, the subjects were classified as autistic or healthy groups based on their brain connectivity patterns using pattern recognition techniques. Performance of the proposed system in each mental state is separately evaluated. The results present higher recognition rates using functional connectivity features when compared against other existing feature extraction methods. © 2015 Published by Elsevier B.V.}, nota = {dipetik oleh 6}, kata kunci = {Gangguan Spektrum Autisme, Pemprosesan Isyarat Bioperubatan, Otak, Connectivity Feature, Connectivity Pattern, Penyakit, Elektroensefalografi, Face Perceptions, Pengekstrakan Ciri, Functional Connectivity, Pengecaman Corak, Pattern Recognition Techniques}, pubstate = {diterbitkan}, tppubtype = {artikel} } Dalam kajian ini, a dynamic screening strategy is proposed to discriminate subjects with autistic spectrum disorder (ASD) from healthy controls. The ASD is defined as a neurodevelopmental disorder that disrupts normal patterns of connectivity between the brain regions. Oleh itu, the potential use of such abnormality for autism screening is investigated. The connectivity patterns are estimated from electroencephalogram (LIHAT) data collected from 8 brain regions under various mental states. The EEG data of 12 healthy controls and 6 kanak-kanak autistik (age matched in 7-10) were collected during eyes-open and eyes-close resting states as well as when subjects were exposed to affective faces (happy, sad and calm). Subsequently, the subjects were classified as autistic or healthy groups based on their brain connectivity patterns using pattern recognition techniques. Performance of the proposed system in each mental state is separately evaluated. The results present higher recognition rates using functional connectivity features when compared against other existing feature extraction methods. © 2015 Published by Elsevier B.V. |
2014 |
Batt, S; Acharya, U R; Adeli, H; Tenusu, G M; Adeli, A Automated diagnosis of autism: In search of a mathematical marker Artikel Jurnal Reviews in the Neurosciences, 25 (6), hlm. 851-861, 2014, ISSN: 03341763, (dipetik oleh 34). Abstrak | Pautan | BibTeX | Tag: Algoritma, Artikel, Autisme, Gangguan Spektrum Autisme, Automasi, Biological Model, Otak, Chaos Theory, Correlation Analysis, Detrended Fluctuation Analysis, Disease Marker, Electrode, Elektroencephalogram, Elektroensefalografi, Entropy, Fourier Transformation, Fractal Analysis, Frequency Domain Analysis, Manusia, Mathematical Analysis, Mathematical Marker, Mathematical Parameters, Models, Neurologic Disease, Neurological, Nonlinear Dynamics, Nonlinear System, Patofisiologi, Jurnal Keutamaan, Prosedur, Pemprosesan isyarat, Model Statistik, Masa, Time Frequency Analysis, Wavelet Analysis @artikel{Bhat2014851, tajuk = {Automated diagnosis of autism: In search of a mathematical marker}, pengarang = {S Bhat and U R Acharya and H Adeli and G M Bairy and A Adeli}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925286949&doi=10.1515%2frevneuro-2014-0036&rakan kongsi = 40&md5=04858a5c9860e9027e3113835ca2e11f}, doi = {10.1515/revneuro-2014-0036}, terbitan = {03341763}, tahun = {2014}, tarikh = {2014-01-01}, jurnal = {Reviews in the Neurosciences}, isi padu = {25}, nombor = {6}, halaman = {851-861}, penerbit = {Walter de Gruyter GmbH}, abstrak = {Autism is a type of neurodevelopmental disorder affecting the memory, behavior, emotion, learning ability, and communication of an individual. An early detection of the abnormality, due to irregular processing in the brain, can be achieved using electroencephalograms (LIHAT). The variations in the EEG signals cannot be deciphered by mere visual inspection. Computer-aided diagnostic tools can be used to recognize the subtle and invisible information present in the irregular EEG pattern and diagnose autism. This paper presents a state-of-theart review of automated EEG-based diagnosis of autism. Various time domain, frequency domain, time-frequency domain, and nonlinear dynamics for the analysis of autistic EEG signals are described briefly. A focus of the review is the use of nonlinear dynamics and chaos theory to discover the mathematical biomarkers for the diagnosis of the autism analogous to biological markers. A combination of the time-frequency and nonlinear dynamic analysis is the most effective approach to characterize the nonstationary and chaotic physiological signals for the automated EEGbased diagnosis of autism spectrum disorder (ASD). The features extracted using these nonlinear methods can be used as mathematical markers to detect the early stage of autism and aid the clinicians in their diagnosis. This will expedite the administration of appropriate therapies to treat the disorder. © 2014 Walter de Gruyter GmbH.}, nota = {dipetik oleh 34}, kata kunci = {Algoritma, Artikel, Autisme, Gangguan Spektrum Autisme, Automasi, Biological Model, Otak, Chaos Theory, Correlation Analysis, Detrended Fluctuation Analysis, Disease Marker, Electrode, Elektroencephalogram, Elektroensefalografi, Entropy, Fourier Transformation, Fractal Analysis, Frequency Domain Analysis, Manusia, Mathematical Analysis, Mathematical Marker, Mathematical Parameters, Models, Neurologic Disease, Neurological, Nonlinear Dynamics, Nonlinear System, Patofisiologi, Jurnal Keutamaan, Prosedur, Pemprosesan isyarat, Model Statistik, Masa, Time Frequency Analysis, Wavelet Analysis}, pubstate = {diterbitkan}, tppubtype = {artikel} } Autism is a type of neurodevelopmental disorder affecting the memory, behavior, emotion, learning ability, and communication of an individual. An early detection of the abnormality, due to irregular processing in the brain, can be achieved using electroencephalograms (LIHAT). The variations in the EEG signals cannot be deciphered by mere visual inspection. Computer-aided diagnostic tools can be used to recognize the subtle and invisible information present in the irregular EEG pattern and diagnose autism. This paper presents a state-of-theart review of automated EEG-based diagnosis of autism. Various time domain, frequency domain, time-frequency domain, and nonlinear dynamics for the analysis of autistic EEG signals are described briefly. A focus of the review is the use of nonlinear dynamics and chaos theory to discover the mathematical biomarkers for the diagnosis of the autism analogous to biological markers. A combination of the time-frequency and nonlinear dynamic analysis is the most effective approach to characterize the nonstationary and chaotic physiological signals for the automated EEGbased diagnosis of autism spectrum disorder (ASD). The features extracted using these nonlinear methods can be used as mathematical markers to detect the early stage of autism and aid the clinicians in their diagnosis. This will expedite the administration of appropriate therapies to treat the disorder. © 2014 Walter de Gruyter GmbH. |
Sudirman, R; Hussin, S S Sensory responses of autism via electroencephalography for Sensory Profile Persidangan Institut Jurutera Elektrik dan Elektronik Inc., 2014, ISBN: 9781479956869, (dipetik oleh 3). Abstrak | Pautan | BibTeX | Tag: Autisme, Discrete Wavelet Transforms, Penyakit, Elektroensefalografi, Elektrofisiologi, Analisis Komponen Bebas, International System, Belajar, Analisis Deria, Profil Deria, Sensory Profiling, Rangsangan Deria, Pemprosesan isyarat, Standard Deviation, Paket Wavelet Berubah @ persidangan{Sudirman2014626, tajuk = {Sensory responses of autism via electroencephalography for Sensory Profile}, pengarang = {R Sudirman and S S Hussin}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946435600&doi=10.1109%2fICCSCE.2014.7072794&rakan kongsi = 40&md5=3e6f1cfe19eae4fad359d2493aebd7e0}, doi = {10.1109/ICCSCE.2014.7072794}, isbn = {9781479956869}, tahun = {2014}, tarikh = {2014-01-01}, jurnal = {Prosiding - 4th IEEE International Conference on Control System, Pengkomputeran dan Kejuruteraan, ICCSCE 2014}, halaman = {626-631}, penerbit = {Institut Jurutera Elektrik dan Elektronik Inc.}, abstrak = {The aim of this study is to investigate the brain signals of autism children through electroencephalography (LIHAT) associated to physical tasks. The physical task was meant to stimulate the sensitivity correlation of sensory response of a child. A group of autism children was chosen for this study and were given by five sensory stimulations which are audio, rasa, sentuhan, visual and vestibular. The acquisition of brain signals was acquainted using EEG Neurofax 9200 and the electrode positions were using 10-20 International System placements. The preprocessing signals were analyzed using independent component analysis (ICA) using EEGLAB Software and Discrete Wavelet Transform (DWT). The alpha wave was selected by level 6 decomposition and the extracted features represents the characteristic of the sensory task. The means, standard deviations and approximation entropy were extracted on the clean signals and forms into Sensory Profile (Sensory Profiling). From the overall results, the behavior of each autism children has been observed unstable emotion while running the sensory stimulation. The observation also helps to improve their learning strategy for the future work in assessment. © 2014 IEEE.}, nota = {dipetik oleh 3}, kata kunci = {Autisme, Discrete Wavelet Transforms, Penyakit, Elektroensefalografi, Elektrofisiologi, Analisis Komponen Bebas, International System, Belajar, Analisis Deria, Profil Deria, Sensory Profiling, Rangsangan Deria, Pemprosesan isyarat, Standard Deviation, Paket Wavelet Berubah}, pubstate = {diterbitkan}, tppubtype = {persidangan} } The aim of this study is to investigate the brain signals of autism children through electroencephalography (LIHAT) associated to physical tasks. The physical task was meant to stimulate the sensitivity correlation of sensory response of a child. A group of autism children was chosen for this study and were given by five sensory stimulations which are audio, rasa, sentuhan, visual and vestibular. The acquisition of brain signals was acquainted using EEG Neurofax 9200 and the electrode positions were using 10-20 International System placements. The preprocessing signals were analyzed using independent component analysis (ICA) using EEGLAB Software and Discrete Wavelet Transform (DWT). The alpha wave was selected by level 6 decomposition and the extracted features represents the characteristic of the sensory task. The means, standard deviations and approximation entropy were extracted on the clean signals and forms into Sensory Profile (Sensory Profiling). From the overall results, the behavior of each autism children has been observed unstable emotion while running the sensory stimulation. The observation also helps to improve their learning strategy for the future work in assessment. © 2014 IEEE. |
2013 |
Modugumudi, Y R; Santhosh, J; Anand, S Efficacy of collaborative virtual environment intervention programs in emotion expression of children with autism Artikel Jurnal Journal of Medical Imaging and Health Informatics, 3 (2), hlm. 321-325, 2013, ISSN: 21567018, (dipetik oleh 4). Abstrak | Pautan | BibTeX | Tag: Remaja, Dewasa, Artikel, Autisme, Anak-anak, Artikel Klinikal, Collaborative Virtual Environment, Kajian Terkawal, DSM-IV, Elektroencephalogram, Elektroensefalografi, Electrooculogram, Emosi, Ketua Penolong Pengarah, Event Related Potential, Ekspresi wajah, Perempuan, Manusia, Latent Period, Lelaki, Recognition, Budak sekolah @artikel{Modugumudi2013321, tajuk = {Efficacy of collaborative virtual environment intervention programs in emotion expression of children with autism}, pengarang = {Y R Modugumudi and J Santhosh and S Anand}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881262807&doi=10.1166%2fjmihi.2013.1167&rakan kongsi = 40&md5=c8e767c8eba2bbbec5ff36a43eb59af6}, doi = {10.1166/jmihi.2013.1167}, terbitan = {21567018}, tahun = {2013}, tarikh = {2013-01-01}, jurnal = {Journal of Medical Imaging and Health Informatics}, isi padu = {3}, nombor = {2}, halaman = {321-325}, abstrak = {Exploratory empirical studies on Collaborative Virtual Environments (CVEs) were conducted to determine if children with autism could make basic emotional recognition effectively, with the use of CVEs as assistive technology. In this paper we report the results of electro-physiological study of two groups of autistic children after an intervention program with and without using Collaborative Virtual Environment. The group trained with CVE showed better results compared to the group trained without Collaborative virtual Environment. There is an emphasized early emotion expression positivity component at around 120 ms latency for CVE trained group which clearly distinguishes the CVE untrained group. Also there are differences observed in Event Related Potential component at about 170 ms latency after the stimulus. Results indicate that the Collaborative Virtual Environments are effective in training Autistic children. © 2013 American Scientific Publishers.}, nota = {dipetik oleh 4}, kata kunci = {Remaja, Dewasa, Artikel, Autisme, Anak-anak, Artikel Klinikal, Collaborative Virtual Environment, Kajian Terkawal, DSM-IV, Elektroencephalogram, Elektroensefalografi, Electrooculogram, Emosi, Ketua Penolong Pengarah, Event Related Potential, Ekspresi wajah, Perempuan, Manusia, Latent Period, Lelaki, Recognition, Budak sekolah}, pubstate = {diterbitkan}, tppubtype = {artikel} } Exploratory empirical studies on Collaborative Virtual Environments (CVEs) were conducted to determine if children with autism could make basic emotional recognition effectively, with the use of CVEs as assistive technology. In this paper we report the results of electro-physiological study of two groups of autistic children after an intervention program with and without using Collaborative Virtual Environment. The group trained with CVE showed better results compared to the group trained without Collaborative virtual Environment. There is an emphasized early emotion expression positivity component at around 120 ms latency for CVE trained group which clearly distinguishes the CVE untrained group. Also there are differences observed in Event Related Potential component at about 170 ms latency after the stimulus. Results indicate that the Collaborative Virtual Environments are effective in training Autistic children. © 2013 Penerbit Saintifik Amerika. |
Syams, W K; Wahab, A Source-temporal-features for detection EEG behavior of autism spectrum disorder Persidangan 2013, ISBN: 9781479901340, (dipetik oleh 1). Abstrak | Pautan | BibTeX | Tag: ASD, Gangguan Spektrum Autisme, Brain Activity, Kanak-kanak dengan Autisme, Pengelasan (maklumat), Komunikasi, Penyakit, Elektroensefalografi, Electronic Document, Teknologi maklumat, Multi-Layer Perception, Temporal Features, Time Difference of Arrival @ persidangan{Shams2013, tajuk = {Source-temporal-features for detection EEG behavior of autism spectrum disorder}, pengarang = {W K Shams and A Wahab}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879037124&doi=10.1109%2fICT4M.2013.6518913&rakan kongsi = 40&md5=db31715811e1e8fdf62c9d61daf8e6f6}, doi = {10.1109/ICT4M.2013.6518913}, isbn = {9781479901340}, tahun = {2013}, tarikh = {2013-01-01}, jurnal = {2013 5Persidangan Antarabangsa mengenai Teknologi Maklumat dan Komunikasi untuk Dunia Muslim, ICT4M 2013}, abstrak = {This study introduces a new model to capture the abnormal brain activity of children with Autism Spectrum Disorder (ASD) during eyes open and eyes closed resting conditions. EEG data was collected from normal subjects' ages (4 ke 9) years and ASD subjects match group. Time Difference of Arrival (TDOA) approach was applied with EEG data raw for feature extracted at time domain. The neural network, Multilayer Perception (MLP) was used to distinguish between the two groups during the two tasks. Results show significant accuracy around 98% for both tasks and clearly discriminate for the features in z-dimension his electronic document is a "live" template and already defines the components of your paper [title, teks, heads, etc.] in its style sheet. © 2013 IEEE.}, nota = {dipetik oleh 1}, kata kunci = {ASD, Gangguan Spektrum Autisme, Brain Activity, Kanak-kanak dengan Autisme, Pengelasan (maklumat), Komunikasi, Penyakit, Elektroensefalografi, Electronic Document, Teknologi maklumat, Multi-Layer Perception, Temporal Features, Time Difference of Arrival}, pubstate = {diterbitkan}, tppubtype = {persidangan} } This study introduces a new model to capture the abnormal brain activity of children with Autism Spectrum Disorder (ASD) during eyes open and eyes closed resting conditions. EEG data was collected from normal subjects' ages (4 ke 9) years and ASD subjects match group. Time Difference of Arrival (TDOA) approach was applied with EEG data raw for feature extracted at time domain. The neural network, Multilayer Perception (MLP) was used to distinguish between the two groups during the two tasks. Results show significant accuracy around 98% for both tasks and clearly discriminate for the features in z-dimension his electronic document is a "live" template and already defines the components of your paper [title, teks, heads, etc.] in its style sheet. © 2013 IEEE. |
2012 |
Tan, E H; Razak, S A; Abdullah, J M; Yusoff, Mohamed A A Epilepsy Research, 102 (3), hlm. 210-215, 2012, ISSN: 09201211, (dipetik oleh 2). Abstrak | Pautan | BibTeX | Tag: Alanine, Amino Acid Substitution, Arginine, Artikel, Asparagine, Aspartic Acid, Anak-anak, Artikel Klinikal, Clinical Feature, Kajian Terkawal, Persatuan Penyakit, DNA Mutational Analysis, DNA Sequence, Elektroensefalografi, Epilepsi, Febrile, Febrile Convulsion, Perempuan, Gen, Gene Frequency, Pengenalan Gen, Generalized, Generalized Epilepsy, Persatuan Genetik, Kecenderungan Genetik, Genetic Screening, Genetic Variability, Glycine, Histidine, Manusia, Bayi, Malaysia, Lelaki, Missense Mutation, Molecular Pathology, Mutation, Mutational Analysis, Mutator Gene, Nav1.1 Voltage-Gated Sodium Channel, Onset Age, Patient Assessment, Polimorfisme, Kanak-kanak Prasekolah, Jurnal Keutamaan, Promoter Region, Budak sekolah, Seizure, Sequence Analysis, Nukleotida Tunggal, Polimorfisme Nukleotida Tunggal, Sodium Channel Nav1.1, Voltage Gated Sodium Channel Alpha1 Subunit Gene @artikel{Tan2012210, tajuk = {De-novo mutations and genetic variation in the SCN1A gene in Malaysian patients with generalized epilepsy with febrile seizures plus (GEFS+)}, pengarang = {E H Tan and S A Razak and J M Abdullah and A A Mohamed Yusoff}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84870296042&doi=10.1016%2fj.eplepsyres.2012.08.004&rakan kongsi = 40&md5=25cc4eeb07db2492a7c04c6b3b3b2167}, doi = {10.1016/j.eplepsyres.2012.08.004}, terbitan = {09201211}, tahun = {2012}, tarikh = {2012-01-01}, jurnal = {Epilepsy Research}, isi padu = {102}, nombor = {3}, halaman = {210-215}, abstrak = {Generalized epilepsy with febrile seizures plus (GEFS+) comprises a group of clinically and genetically heterogeneous epilepsy syndrome. Di sini, we provide the first report of clinical presentation and mutational analysis of SCN1A gene in 36 Malaysian GEFS+ patients. Mutational analysis of SCN1A gene revealed twenty seven sequence variants (missense mutation and silent polymorphism also intronic polymorphism), as well as 2 novel de-novo mutations were found in our patients at coding regions, c.5197A>G (N1733D) and c.4748A>G (H1583R). Our findings provide potential genetic insights into the pathogenesis of GEFS+ in Malaysian populations concerning the SCN1A gene mutations. © 2012 Elsevier B.V.}, nota = {dipetik oleh 2}, kata kunci = {Alanine, Amino Acid Substitution, Arginine, Artikel, Asparagine, Aspartic Acid, Anak-anak, Artikel Klinikal, Clinical Feature, Kajian Terkawal, Persatuan Penyakit, DNA Mutational Analysis, DNA Sequence, Elektroensefalografi, Epilepsi, Febrile, Febrile Convulsion, Perempuan, Gen, Gene Frequency, Pengenalan Gen, Generalized, Generalized Epilepsy, Persatuan Genetik, Kecenderungan Genetik, Genetic Screening, Genetic Variability, Glycine, Histidine, Manusia, Bayi, Malaysia, Lelaki, Missense Mutation, Molecular Pathology, Mutation, Mutational Analysis, Mutator Gene, Nav1.1 Voltage-Gated Sodium Channel, Onset Age, Patient Assessment, Polimorfisme, Kanak-kanak Prasekolah, Jurnal Keutamaan, Promoter Region, Budak sekolah, Seizure, Sequence Analysis, Nukleotida Tunggal, Polimorfisme Nukleotida Tunggal, Sodium Channel Nav1.1, Voltage Gated Sodium Channel Alpha1 Subunit Gene}, pubstate = {diterbitkan}, tppubtype = {artikel} } Generalized epilepsy with febrile seizures plus (GEFS+) comprises a group of clinically and genetically heterogeneous epilepsy syndrome. Di sini, we provide the first report of clinical presentation and mutational analysis of SCN1A gene in 36 Malaysian GEFS+ patients. Mutational analysis of SCN1A gene revealed twenty seven sequence variants (missense mutation and silent polymorphism also intronic polymorphism), as well as 2 novel de-novo mutations were found in our patients at coding regions, c.5197A>G (N1733D) and c.4748A>G (H1583R). Our findings provide potential genetic insights into the pathogenesis of GEFS+ in Malaysian populations concerning the SCN1A gene mutations. © 2012 Elsevier B.V. |
Tan, E H; Yusoff, A A M; Abdullah, J M; Razak, S A Generalized epilepsy with febrile seizure plus (GEFS+) spectrum: Novel de novo mutation of SCN1A detected in a Malaysian patient Artikel Jurnal Journal of Pediatric Neurosciences, 7 (2), hlm. 123-125, 2012, ISSN: 18171745, (dipetik oleh 3). Abstrak | Pautan | BibTeX | Tag: Remaja, Anxiety Disorder, Artikel, Autisme, Carbamazepine, Laporan kes, Computer Assisted Tomography, Elektroencephalogram, Elektroensefalografi, Febrile Convulsion, Gen, Generalized Epilepsy, Generalized Epilepsy with Febrile Seizure Plus, Manusia, Karyotype, Malaysia, Lelaki, Medical History, Mental Deficiency, Missense Mutation, Nuclear Magnetic Resonance Imaging, Fenotip, SCN1A Gene, Tonic Clonic Seizure, Topiramate, Valproic Acid @artikel{Tan2012123, tajuk = {Generalized epilepsy with febrile seizure plus (GEFS+) spectrum: Novel de novo mutation of SCN1A detected in a Malaysian patient}, pengarang = {E H Tan and A A M Yusoff and J M Abdullah and S A Razak}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84870194979&doi=10.4103%2f1817-1745.102575&rakan kongsi = 40&md5=b73f0bdb583e84404e0fff232faf30cb}, doi = {10.4103/1817-1745.102575}, terbitan = {18171745}, tahun = {2012}, tarikh = {2012-01-01}, jurnal = {Journal of Pediatric Neurosciences}, isi padu = {7}, nombor = {2}, halaman = {123-125}, abstrak = {Dalam laporan ini, we describe a 15-year-old Malaysian male patient with a de novo SCN1A mutation who experienced prolonged febrile seizures after his first seizure at 6 months of age. This boy had generalized tonic clonic seizure (GTCS) which occurred with and without fever. Sequencing analysis of voltage-gated sodium channel a1-subunit gene, SCN1A, confirmed a homozygous A to G change at nucleotide 5197 (c.5197A > G) in exon 26 resulting in amino acid substitution of asparagines to aspartate at codon 1733 of sodium channel. The mutation identified in this patient is located in the pore-forming loop of SCN1A and this case report suggests missense mutation in pore-forming loop causes generalized epilepsy with febrile seizure plus (GEFS+) with clinically more severe neurologic phenotype including intellectual disabilities (mental retardation and autism features) and neuropsychiatric disease (anxiety disorder).}, nota = {dipetik oleh 3}, kata kunci = {Remaja, Anxiety Disorder, Artikel, Autisme, Carbamazepine, Laporan kes, Computer Assisted Tomography, Elektroencephalogram, Elektroensefalografi, Febrile Convulsion, Gen, Generalized Epilepsy, Generalized Epilepsy with Febrile Seizure Plus, Manusia, Karyotype, Malaysia, Lelaki, Medical History, Mental Deficiency, Missense Mutation, Nuclear Magnetic Resonance Imaging, Fenotip, SCN1A Gene, Tonic Clonic Seizure, Topiramate, Valproic Acid}, pubstate = {diterbitkan}, tppubtype = {artikel} } Dalam laporan ini, we describe a 15-year-old Malaysian male patient with a de novo SCN1A mutation who experienced prolonged febrile seizures after his first seizure at 6 months of age. This boy had generalized tonic clonic seizure (GTCS) which occurred with and without fever. Sequencing analysis of voltage-gated sodium channel a1-subunit gene, SCN1A, confirmed a homozygous A to G change at nucleotide 5197 (c.5197A > G) in exon 26 resulting in amino acid substitution of asparagines to aspartate at codon 1733 of sodium channel. The mutation identified in this patient is located in the pore-forming loop of SCN1A and this case report suggests missense mutation in pore-forming loop causes generalized epilepsy with febrile seizure plus (GEFS+) with clinically more severe neurologic phenotype including intellectual disabilities (mental retardation and autism features) and neuropsychiatric disease (anxiety disorder). |
2011 |
Razali, N; Wahab, A 2Model Ruang Afektif (ASM) untuk mengesan kanak-kanak autistik Persidangan 2011, ISBN: 9781612848433, (dipetik oleh 8). Abstrak | Pautan | BibTeX | Tag: Kanak-kanak Autistik, Gangguan Otak, Pengimejan Otak, Teknik Pengimejan Otak, Isyarat Otak, Kanak-kanak dengan Autisme, Elektronik Pengguna, Pengumpulan data, Penyakit, Elektroencephalogram, Elektroensefalografi, Pengekstrakan Ciri, Domain Kekerapan, Pengimejan Resonans Magnetik Berfungsi, Model Campuran Gaussian, Pengimejan Resonans Magnetik, Perceptron Pelbagai Lapisan, Perceptron pelbagai lapisan, Pelbagai lapisan, Tomografi Pelepasan Positron, Resonans, Model Ruang, Hasil Pengesahan @ persidangan{Razali2011536, tajuk = {2Model Ruang Afektif (ASM) untuk mengesan kanak-kanak autistik}, pengarang = {N Razali and A Wahab}, url = {https://www.scopus.com/inward/record.uri?eid = 2-s2.0-80052392399&doi = 10.1109% 2fISCE.2011.5973888&rakan kongsi = 40&md5 = f6ea401148e6558b861e4df6407e527e}, doi = {10.1109/ISCE.2011.5973888}, isbn = {9781612848433}, tahun = {2011}, tarikh = {2011-01-01}, jurnal = {Prosiding Simposium Antarabangsa mengenai Elektronik Pengguna, ISCE}, halaman = {536-541}, abstrak = {Terdapat banyak kajian yang dilakukan terhadap kes autisme menggunakan teknik pencitraan otak. Dalam kertas ini, Electroencephalogram (LIHAT) digunakan untuk memahami dan menganalisis fungsi otak untuk mengenal pasti atau mengesan gangguan otak untuk autisme dari segi peniruan motor. Oleh itu, kebolehpasaran dan kemampuan peralatan EEG menjadikannya pilihan yang lebih baik jika dibandingkan dengan alat pengimejan otak lain seperti pengimejan resonans magnetik yang berfungsi (fMRI), tomografi pelepasan positron (PET) dan megnetoencephalography (MEG). Pengumpulan data terdiri daripada kanak-kanak autis dan normal dengan jumlah keseluruhan 6 kanak-kanak untuk setiap kumpulan. Semua subjek diminta mengepal tangan mereka dengan mengikuti rangsangan video yang disajikan 1 masa minit. Model campuran Gaussian digunakan sebagai kaedah pengekstrakan ciri untuk menganalisis isyarat otak dalam domain frekuensi. Kemudian, data pengekstrakan dikelaskan menggunakan perceptron pelbagai lapisan (MLP). Menurut hasil pengesahan, peratusan diskriminasi antara kedua-dua kumpulan adalah hingga 85% secara purata dengan menggunakan pengesahan k-kali ganda. © 2011 IEEE.}, nota = {dipetik oleh 8}, kata kunci = {Kanak-kanak Autistik, Gangguan Otak, Pengimejan Otak, Teknik Pengimejan Otak, Isyarat Otak, Kanak-kanak dengan Autisme, Elektronik Pengguna, Pengumpulan data, Penyakit, Elektroencephalogram, Elektroensefalografi, Pengekstrakan Ciri, Domain Kekerapan, Pengimejan Resonans Magnetik Berfungsi, Model Campuran Gaussian, Pengimejan Resonans Magnetik, Perceptron Pelbagai Lapisan, Perceptron pelbagai lapisan, Pelbagai lapisan, Tomografi Pelepasan Positron, Resonans, Model Ruang, Hasil Pengesahan}, pubstate = {diterbitkan}, tppubtype = {persidangan} } Terdapat banyak kajian yang dilakukan terhadap kes autisme menggunakan teknik pencitraan otak. Dalam kertas ini, Electroencephalogram (LIHAT) digunakan untuk memahami dan menganalisis fungsi otak untuk mengenal pasti atau mengesan gangguan otak untuk autisme dari segi peniruan motor. Oleh itu, kebolehpasaran dan kemampuan peralatan EEG menjadikannya pilihan yang lebih baik jika dibandingkan dengan alat pengimejan otak lain seperti pengimejan resonans magnetik yang berfungsi (fMRI), tomografi pelepasan positron (PET) dan megnetoencephalography (MEG). Pengumpulan data terdiri daripada kanak-kanak autis dan normal dengan jumlah keseluruhan 6 kanak-kanak untuk setiap kumpulan. Semua subjek diminta mengepal tangan mereka dengan mengikuti rangsangan video yang disajikan 1 masa minit. Model campuran Gaussian digunakan sebagai kaedah pengekstrakan ciri untuk menganalisis isyarat otak dalam domain frekuensi. Kemudian, data pengekstrakan dikelaskan menggunakan perceptron pelbagai lapisan (MLP). Menurut hasil pengesahan, peratusan diskriminasi antara kedua-dua kumpulan adalah hingga 85% secara purata dengan menggunakan pengesahan k-kali ganda. © 2011 IEEE. |
Syams, Khazaal W; Rahman, Abdul A W Characterizing autistic disorder based on principle component analysis Persidangan 2011, ISBN: 9781457714184, (dipetik oleh 6). Abstrak | Pautan | BibTeX | Tag: Autisme, Brain Function, Isyarat Otak, Classification Process, Data Dimensions, Penyakit, Electroencephalogram Signals, Elektroensefalografi, Frequency Domain Analysis, Elektronik Perindustrian, Pergerakan Motor, Motor Tasks, PCA, Analisis Komponen Utama, Signal Detection, Time Frequency Domain @ persidangan{KhazaalShams2011653, tajuk = {Characterizing autistic disorder based on principle component analysis}, pengarang = {W Khazaal Shams and A W Abdul Rahman}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84855644760&doi=10.1109%2fISIEA.2011.6108797&rakan kongsi = 40&md5=c486566e2d7ff404d830704c0b404067}, doi = {10.1109/ISIEA.2011.6108797}, isbn = {9781457714184}, tahun = {2011}, tarikh = {2011-01-01}, jurnal = {2011 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2011}, halaman = {653-657}, abstrak = {Autism is often diagnosed during preschool or toddled age. This diagnosis often depends on behavioral test. It is known that individuals with autism have abnormal brain signals different from typical persons yet this difference in signals is slight that it is often difficult to distinguish from the normal. Walau bagaimanapun, Elektroencephalogram (LIHAT) signals have a lot of information which reflect the behavior of brain functions which therefore captures the marker for autism, help to early diagnose and speed the treatment. This work investigates and compares classification process for autism in open-eyed tasks and motor movement by using Principle Component Analysis (PCA) for feature extracted in Time-frequency domain to reduce data dimension. The results show that the proposed method gives accuracy in the range 90-100% for autism and normal children in motor task and around 90% to detect normal in open-eyed tasks though difficult to detect autism in this task. © 2011 IEEE.}, nota = {dipetik oleh 6}, kata kunci = {Autisme, Brain Function, Isyarat Otak, Classification Process, Data Dimensions, Penyakit, Electroencephalogram Signals, Elektroensefalografi, Frequency Domain Analysis, Elektronik Perindustrian, Pergerakan Motor, Motor Tasks, PCA, Analisis Komponen Utama, Signal Detection, Time Frequency Domain}, pubstate = {diterbitkan}, tppubtype = {persidangan} } Autism is often diagnosed during preschool or toddled age. This diagnosis often depends on behavioral test. It is known that individuals with autism have abnormal brain signals different from typical persons yet this difference in signals is slight that it is often difficult to distinguish from the normal. Walau bagaimanapun, Elektroencephalogram (LIHAT) signals have a lot of information which reflect the behavior of brain functions which therefore captures the marker for autism, help to early diagnose and speed the treatment. This work investigates and compares classification process for autism in open-eyed tasks and motor movement by using Principle Component Analysis (PCA) for feature extracted in Time-frequency domain to reduce data dimension. The results show that the proposed method gives accuracy in the range 90-100% for autism and normal children in motor task and around 90% to detect normal in open-eyed tasks though difficult to detect autism in this task. © 2011 IEEE. |
2010 |
Othman, M; Wahab, A Analisis pemprosesan wajah afektif pada autisme menggunakan elektroensefalogram Persidangan 2010, ISBN: 9789791948913, (dipetik oleh 7). Abstrak | Pautan | BibTeX | Tag: Pemprosesan Muka Afektif, Hasil Analisis, Gangguan Spektrum Autisme, Gelombang Otak, Penyakit, Elektroencephalogram, Elektroensefalografi, Emosi, Model Emosi, Hubungan mata, Ekspresi wajah, Emosi Manusia, Teknologi maklumat @ persidangan{Othman2010, tajuk = {Analisis pemprosesan wajah afektif pada autisme menggunakan elektroensefalogram}, pengarang = {M Othman dan A Wahab}, url = {https://www.scopus.com/inward/record.uri?eid = 2-s2.0-80052372671&doi = 10.1109% 2fICT4M.2010.5971907&rakan kongsi = 40&md5 = 4d5f8a317d6a9c93e1ab7186a9b99b52}, doi = {10.1109/ICT4M.2010.5971907}, isbn = {9789791948913}, tahun = {2010}, tarikh = {2010-01-01}, jurnal = {Prosiding Persidangan Antarabangsa Teknologi Maklumat dan Komunikasi ke-3 untuk Dunia Muslim: Budaya Menghubungkan ICT, ICT4M 2010}, halaman = {E23-E27}, abstrak = {Penyelidikan yang lalu di bidang psikologi telah menunjukkan ketidakupayaan Autism Spectrum Disorder (ASD) pesakit kerana mentafsirkan emosi orang lain. Kerosakan ini disebabkan oleh kurangnya motivasi sosial dan kontak mata semasa berkomunikasi, menyebabkan maklumat tidak mencukupi ke otak untuk mentafsirkan wajah emosi. Makalah ini menyiasat gelombang otak manusia untuk memahami pemprosesan wajah afektif kanak-kanak ASD. Hasil pengkelasan corak dijelaskan berdasarkan model emosi 2 dimensi. Model 2 dimensi menerangkan emosi manusia dari segi menyenangkan / tidak menyenangkan (atau valensi) dan intensiti (atau terangsang). Hasil analisis menunjukkan bahawa emosi kumpulan bukan autistik diubah agar sesuai dengan wajah afektif yang kini dipaparkan di monitor komputer. Dinamika emosi kanak-kanak ASD, namun begitu, menunjukkan kecenderungan valensi terbalik semasa menonton ekspresi wajah yang berkaitan dengan emosi. © 2010 IEEE.}, nota = {dipetik oleh 7}, kata kunci = {Pemprosesan Muka Afektif, Hasil Analisis, Gangguan Spektrum Autisme, Gelombang Otak, Penyakit, Elektroencephalogram, Elektroensefalografi, Emosi, Model Emosi, Hubungan mata, Ekspresi wajah, Emosi Manusia, Teknologi maklumat}, pubstate = {diterbitkan}, tppubtype = {persidangan} } Penyelidikan yang lalu di bidang psikologi telah menunjukkan ketidakupayaan Autism Spectrum Disorder (ASD) pesakit kerana mentafsirkan emosi orang lain. Kerosakan ini disebabkan oleh kurangnya motivasi sosial dan kontak mata semasa berkomunikasi, menyebabkan maklumat tidak mencukupi ke otak untuk mentafsirkan wajah emosi. Makalah ini menyiasat gelombang otak manusia untuk memahami pemprosesan wajah afektif kanak-kanak ASD. Hasil pengkelasan corak dijelaskan berdasarkan model emosi 2 dimensi. Model 2 dimensi menerangkan emosi manusia dari segi menyenangkan / tidak menyenangkan (atau valensi) dan intensiti (atau terangsang). Hasil analisis menunjukkan bahawa emosi kumpulan bukan autistik diubah agar sesuai dengan wajah afektif yang kini dipaparkan di monitor komputer. Dinamika emosi kanak-kanak ASD, namun begitu, menunjukkan kecenderungan valensi terbalik semasa menonton ekspresi wajah yang berkaitan dengan emosi. © 2010 IEEE. |
Sudirman, ; Saidin, S; Safri, Mat N Study of electroencephalography signal of autism and down syndrome children using FFT Persidangan 2010, ISBN: 9781424476473, (dipetik oleh 15). Abstrak | Pautan | BibTeX | Tag: Alpha Value, Autisme, Sindrom Down, EEG Signals, Elektroensefalografi, Elektrofisiologi, Fast Fourier Transforms, Elektronik Perindustrian, Metadata, Antara Muka Pengguna, Visual Evoked Potential, Visualization @ persidangan{Sudirman2010401, tajuk = {Study of electroencephalography signal of autism and down syndrome children using FFT}, pengarang = {Sudirman and S Saidin and N Mat Safri}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79251542066&doi=10.1109%2fISIEA.2010.5679434&rakan kongsi = 40&md5=17fce4f69b27a3cc644f36c118b6ec6e}, doi = {10.1109/ISIEA.2010.5679434}, isbn = {9781424476473}, tahun = {2010}, tarikh = {2010-01-01}, jurnal = {ISIEA 2010 - 2010 IEEE Symposium on Industrial Electronics and Applications}, halaman = {401-406}, abstrak = {Elektroensefalografi (LIHAT) signal between normal and special children is slightly different. Different types of special children will generate different shape of EEG patterns depend on their neurological function. This paper demonstrates the classification of EEG signal for special children: to determine and to classify level and pattern of EEG signal for autism and Down syndrome children. EEG signal was recorded and captured from normal and special children based on their visual response using Visual Evoked Potential (VEP) method. The data is analyzed using Fast Fourier Transform (FFT), so that, normal and special children can be distinguished based on alpha (α) value. Akibatnya, alpha value for normal children at 10 Hz is higher than autism and Down syndrome children. A friendly user interface was built for easy storage and visualization. ©2010 IEEE.}, nota = {dipetik oleh 15}, kata kunci = {Alpha Value, Autisme, Sindrom Down, EEG Signals, Elektroensefalografi, Elektrofisiologi, Fast Fourier Transforms, Elektronik Perindustrian, Metadata, Antara Muka Pengguna, Visual Evoked Potential, Visualization}, pubstate = {diterbitkan}, tppubtype = {persidangan} } Elektroensefalografi (LIHAT) signal between normal and special children is slightly different. Different types of special children will generate different shape of EEG patterns depend on their neurological function. This paper demonstrates the classification of EEG signal for special children: to determine and to classify level and pattern of EEG signal for autism and Down syndrome children. EEG signal was recorded and captured from normal and special children based on their visual response using Visual Evoked Potential (VEP) method. The data is analyzed using Fast Fourier Transform (FFT), so that, normal and special children can be distinguished based on alpha (α) value. Akibatnya, alpha value for normal children at 10 Hz is higher than autism and Down syndrome children. A friendly user interface was built for easy storage and visualization. ©2010 IEEE. |
Othman, M; Wahab, A Memahami persepsi kanak-kanak autisme melalui EEG Persidangan 2010, ISBN: 9781617820267, (dipetik oleh 0). Abstrak | Pautan | BibTeX | Tag: Gangguan Spektrum Autisme, Kanak-kanak Autistik, Penyelidikan Tingkah Laku, Kanak-kanak dengan Autisme, Aplikasi Komputer, Subjek Kawalan, Elektroensefalografi, Emosi, Keadaan emosi, Kajian Empirikal, Ekspresi wajah, Pekali Cepstral Frekuensi Mel, Multilayer-Percheptron (MLP), Pengenalan suara @ persidangan{Othman2010315, tajuk = {Memahami persepsi kanak-kanak autisme melalui EEG}, pengarang = {M Othman dan A Wahab}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883660524&rakan kongsi = 40&md5=df9dac75053fbfa693b4823d5a0a77ad}, isbn = {9781617820267}, tahun = {2010}, tarikh = {2010-01-01}, jurnal = {23rd Persidangan Antarabangsa mengenai Aplikasi Komputer dalam Industri dan Kejuruteraan 2010, CAINE 2010 - Termasuk SNA 2010 Bengkel}, halaman = {315-320}, abstrak = {Kanak-kanak autisme dikenali sebagai sukar memahami ekspresi muka manusia, menjadikan mereka tidak mampu mentafsir keadaan emosi orang lain. Kertas kerja ini cuba memahami persepsi kanak-kanak autisme dengan menganalisis isyarat otak menggunakan MFCC dan MLP. Kajian empirikal telah dijalankan pada 6 autisme dan 6 lazimnya kanak-kanak yang sedang berkembang. Gelombang otak subjek dipantau sambil menonton tenang, muka gembira dan sedih. Keputusan eksperimen menunjukkan bahawa adalah mungkin untuk mendiskriminasi emosi kanak-kanak autistik terhadap subjek kawalan dengan ketepatan 76.61%. Gelombang otak kanak-kanak autisme juga menunjukkan trend emosi songsang berbanding kanak-kanak normal sambil melihat wajah gembira dan sedih.}, nota = {dipetik oleh 0}, kata kunci = {Gangguan Spektrum Autisme, Kanak-kanak Autistik, Penyelidikan Tingkah Laku, Kanak-kanak dengan Autisme, Aplikasi Komputer, Subjek Kawalan, Elektroensefalografi, Emosi, Keadaan emosi, Kajian Empirikal, Ekspresi wajah, Pekali Cepstral Frekuensi Mel, Multilayer-Percheptron (MLP), Pengenalan suara}, pubstate = {diterbitkan}, tppubtype = {persidangan} } Kanak-kanak autisme dikenali sebagai sukar memahami ekspresi muka manusia, menjadikan mereka tidak mampu mentafsir keadaan emosi orang lain. Kertas kerja ini cuba memahami persepsi kanak-kanak autisme dengan menganalisis isyarat otak menggunakan MFCC dan MLP. Kajian empirikal telah dijalankan pada 6 autisme dan 6 lazimnya kanak-kanak yang sedang berkembang. Gelombang otak subjek dipantau sambil menonton tenang, muka gembira dan sedih. Keputusan eksperimen menunjukkan bahawa adalah mungkin untuk mendiskriminasi emosi kanak-kanak autistik terhadap subjek kawalan dengan ketepatan 76.61%. Gelombang otak kanak-kanak autisme juga menunjukkan trend emosi songsang berbanding kanak-kanak biasa sambil melihat wajah gembira dan sedih.. |
2018 |
Tinjauan dalam mengubah suai tingkah laku pengambilan makanan oleh rangsangan otak: Kes berat badan berlebihan Artikel Jurnal Kuantologi Neuro, 16 (12), hlm. 86-97, 2018, ISSN: 13035150, (dipetik oleh 2). |
GRIN2D variants in three cases of developmental and epileptic encephalopathy Artikel Jurnal Clinical Genetics, 94 (6), hlm. 538-547, 2018, ISSN: 00099163, (dipetik oleh 4). |
Analisis neurofisiologi ketagihan lucah kepada ketidakupayaan pembelajaran Persidangan Institut Jurutera Elektrik dan Elektronik Inc., 2018, ISBN: 9781538675250, (dipetik oleh 2). |
Penunjuk profil untuk kanak-kanak autistik menggunakan potensi biosignal EEG untuk tugas deria Persidangan Institut Jurutera Elektrik dan Elektronik Inc., 2018, ISBN: 9781538612774, (dipetik oleh 0). |
Peranan keradangan dalam epilepsi dan komorbiditi neurobehavioral: Implikasi untuk terapi Artikel Jurnal Jurnal Farmakologi Eropah, 837 , hlm. 145-155, 2018, ISSN: 00142999, (dipetik oleh 14). |
2015 |
Dynamic screening of autistic children in various mental states using pattern of connectivity between brain regions Artikel Jurnal Applied Soft Computing Journal, 32 , hlm. 335-346, 2015, ISSN: 15684946, (dipetik oleh 6). |
2014 |
Automated diagnosis of autism: In search of a mathematical marker Artikel Jurnal Reviews in the Neurosciences, 25 (6), hlm. 851-861, 2014, ISSN: 03341763, (dipetik oleh 34). |
Sensory responses of autism via electroencephalography for Sensory Profile Persidangan Institut Jurutera Elektrik dan Elektronik Inc., 2014, ISBN: 9781479956869, (dipetik oleh 3). |
2013 |
Efficacy of collaborative virtual environment intervention programs in emotion expression of children with autism Artikel Jurnal Journal of Medical Imaging and Health Informatics, 3 (2), hlm. 321-325, 2013, ISSN: 21567018, (dipetik oleh 4). |
Source-temporal-features for detection EEG behavior of autism spectrum disorder Persidangan 2013, ISBN: 9781479901340, (dipetik oleh 1). |
2012 |
Epilepsy Research, 102 (3), hlm. 210-215, 2012, ISSN: 09201211, (dipetik oleh 2). |
Generalized epilepsy with febrile seizure plus (GEFS+) spectrum: Novel de novo mutation of SCN1A detected in a Malaysian patient Artikel Jurnal Journal of Pediatric Neurosciences, 7 (2), hlm. 123-125, 2012, ISSN: 18171745, (dipetik oleh 3). |
2011 |
2Model Ruang Afektif (ASM) untuk mengesan kanak-kanak autistik Persidangan 2011, ISBN: 9781612848433, (dipetik oleh 8). |
Characterizing autistic disorder based on principle component analysis Persidangan 2011, ISBN: 9781457714184, (dipetik oleh 6). |
2010 |
Analisis pemprosesan wajah afektif pada autisme menggunakan elektroensefalogram Persidangan 2010, ISBN: 9789791948913, (dipetik oleh 7). |
Study of electroencephalography signal of autism and down syndrome children using FFT Persidangan 2010, ISBN: 9781424476473, (dipetik oleh 15). |
Memahami persepsi kanak-kanak autisme melalui EEG Persidangan 2010, ISBN: 9781617820267, (dipetik oleh 0). |