Senarai Penerbitan
Terdapat sebilangan besar penyelidikan berkaitan autisme yang boleh dijumpai di Malaysia yang umumnya menumpukan pada ASD, gangguan pembelajaran, alat bantu komunikasi, terapi dan banyak lagi. Senarai penerbitan disediakan di bawah:
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2019 |
Mohamad, F H; Telah, A T C The α5-Containing GABA A Receptors—a Brief Summary Artikel Jurnal Journal of Molecular Neuroscience, 67 (2), hlm. 343-351, 2019, ISSN: 08958696, (dipetik oleh 1). Abstrak | Pautan | BibTeX | Tag: 4 Aminobutyric Acid, 4 Aminobutyric Acid A Receptor, Alpha5 Containing 4 Aminobutyric Acid A Receptor, Haiwan, Autisme, Otak, Cognitive Defect, Cognitive Dysfunction, Drug Effect, GABA Agents, GABA-A, GABAergic Receptor Affecting Agent, Genetik, Manusia, Metabolisme, Bukan Manusia, Protein Subunit, Protein Subunits, Receptors, Kaji semula, Skizofrenia, Dadah yang tidak dikelaskan @artikel{Mohamad2019343, tajuk = {The α5-Containing GABA A Receptors—a Brief Summary}, pengarang = {F H Mohamad and A T C Has}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059596842&doi=10.1007%2fs12031-018-1246-4&rakan kongsi = 40&md5=7b2ba0dc86c6c3f890f226cad8195ee5}, doi = {10.1007/s12031-018-1246-4}, terbitan = {08958696}, tahun = {2019}, tarikh = {2019-01-01}, jurnal = {Journal of Molecular Neuroscience}, isi padu = {67}, nombor = {2}, halaman = {343-351}, penerbit = {Springer New York LLC}, abstrak = {GABA A receptors are the major inhibitory neurotransmitter receptor in the human brain. The receptors are assembled from combination of protein subunits in pentameric complex which may consist of α1–6, β1–3, γ1–3, ρ1–3, δ, ε, θ, or π subunits. There are a theoretical > 150,000 possible assemblies and arrangements of GABA A subunits, although only a few combinations have been found in human with the most dominant consists of 2α1, 2β2, and 1γ2 in a counterclockwise arrangement as seen from the synaptic cleft. The receptors also possess binding sites for various unrelated substances including benzodiazepines, barbiturates, and anesthetics. The α5-containing GABA A Rs only make up ≤ 5% of the entire receptor population, but up to 25% of the receptor subtype is located in the crucial learning and memory-associated area of the brain—the hippocampus, which has ignited myriads of hypotheses and theories in regard to its role. As well as exhibiting synaptic phasic inhibition, the α5-containing receptors are also extrasynaptic and mediate tonic inhibition with continuously occurring smaller amplitude. Studies on negative-allosteric modulators for reducing this tonic inhibition have been shown to enhance learning and memory in neurological disorders such as schizophrenia, Sindrom Down, and autism with a possible alternative benzodiazepine binding site. Oleh itu, a few α5 subunit-specific compounds have been developed to address these pharmacological needs. With its small population, the α5-containing receptors could be the key and also the answer for many untreated cognitive dysfunctions and disorders. © 2019, Springer Science + Media Perniagaan, LLC, bahagian dari Springer Nature.}, nota = {dipetik oleh 1}, kata kunci = {4 Aminobutyric Acid, 4 Aminobutyric Acid A Receptor, Alpha5 Containing 4 Aminobutyric Acid A Receptor, Haiwan, Autisme, Otak, Cognitive Defect, Cognitive Dysfunction, Drug Effect, GABA Agents, GABA-A, GABAergic Receptor Affecting Agent, Genetik, Manusia, Metabolisme, Bukan Manusia, Protein Subunit, Protein Subunits, Receptors, Kaji semula, Skizofrenia, Dadah yang tidak dikelaskan}, pubstate = {diterbitkan}, tppubtype = {artikel} } GABA A receptors are the major inhibitory neurotransmitter receptor in the human brain. The receptors are assembled from combination of protein subunits in pentameric complex which may consist of α1–6, β1–3, γ1–3, ρ1–3, δ, ε, θ, or π subunits. There are a theoretical > 150,000 possible assemblies and arrangements of GABA A subunits, although only a few combinations have been found in human with the most dominant consists of 2α1, 2β2, and 1γ2 in a counterclockwise arrangement as seen from the synaptic cleft. The receptors also possess binding sites for various unrelated substances including benzodiazepines, barbiturates, and anesthetics. The α5-containing GABA A Rs only make up ≤ 5% of the entire receptor population, but up to 25% of the receptor subtype is located in the crucial learning and memory-associated area of the brain—the hippocampus, which has ignited myriads of hypotheses and theories in regard to its role. As well as exhibiting synaptic phasic inhibition, the α5-containing receptors are also extrasynaptic and mediate tonic inhibition with continuously occurring smaller amplitude. Studies on negative-allosteric modulators for reducing this tonic inhibition have been shown to enhance learning and memory in neurological disorders such as schizophrenia, Sindrom Down, and autism with a possible alternative benzodiazepine binding site. Oleh itu, a few α5 subunit-specific compounds have been developed to address these pharmacological needs. With its small population, the α5-containing receptors could be the key and also the answer for many untreated cognitive dysfunctions and disorders. © 2019, Springer Science + Media Perniagaan, LLC, bahagian dari Springer Nature. |
2018 |
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 |
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. |
2017 |
Raja, P; Tapis, M Z; Mustapha, A; Zainal, A 226 (1), Institut Penerbitan Fizik, 2017, ISSN: 17578981, (dipetik oleh 0). Abstrak | Pautan | BibTeX | Tag: Perkembangan Tangkas, Gangguan Spektrum Autisme, Otak, Aktiviti Pembangunan, Perwakilan Digital, Penyakit, Pendidikan, Mesej segera, Belajar, Aplikasi Mudah Alih, Komunikasi Lisan @ persidangan{Raja2017, tajuk = {prospek: Sistem Komunikasi Pertukaran Gambar (PECS)-Permohonan Pesanan Segera berasaskan untuk Keadaan Spektrum Autisme}, pengarang = {P Raja dan M Z Saringat dan A Mustapha dan A Zainal}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028640453&doi=10.1088/1757-899X/226/1/012088&rakan kongsi = 40&md5=06b8f5c7d5f5ee64b938b4aea1adfe51}, doi = {10.1088/1757-899X/226/1/012088}, terbitan = {17578981}, tahun = {2017}, tarikh = {2017-01-01}, jurnal = {Siri Persidangan IOP: Sains dan Kejuruteraan Bahan}, isi padu = {226}, nombor = {1}, penerbit = {Institut Penerbitan Fizik}, abstrak = {Gangguan Spektrum Autisme (ASC) telah mendapat perhatian umum daripada orang ramai terutamanya komuniti autisme. Individu yang mempunyai ASC dikatakan mempunyai kemahiran lisan yang lemah dan ini memberi kesan kepada mereka dalam menjalankan kehidupan seharian yang mana mereka takut untuk mendedahkan diri mereka kepada dunia kerana masalah mereka.. ASC didiagnosis di kalangan kanak-kanak dari peringkat umur 5-12 tahun dan mereka mengalami gangguan fungsi otak yang seterusnya menyebabkan kekurangan aktiviti pembangunan. Oleh itu, kajian telah menunjukkan bahawa pendekatan rajah membantu kanak-kanak dengan ASC untuk mengatasi masalah mereka dan menambah baik kemahiran visual dan lisan mereka. Sistem Komunikasi Pertukaran Gambar atau PECS terdiri daripada satu siri kad bergambar dan setiap kad mempunyai ilustrasi tersendiri dengan kapsyen padanya. Kanak-kanak ini akan memahami kad tersebut dan mereka boleh menyusun beberapa kad lain untuk membentuk ayat. Kertas kerja ini membentangkan aplikasi mudah alih yang dipanggil Prospect, yang telah dibangunkan menggunakan model pembangunan tangkas untuk perwakilan digital PECS. Aplikasi ini diharap dapat meningkatkan proses pembelajaran dan membuahkan hasil yang lebih baik. © Diterbitkan di bawah lesen oleh IOP Publishing Ltd.}, nota = {dipetik oleh 0}, kata kunci = {Perkembangan Tangkas, Gangguan Spektrum Autisme, Otak, Aktiviti Pembangunan, Perwakilan Digital, Penyakit, Pendidikan, Mesej segera, Belajar, Aplikasi Mudah Alih, Komunikasi Lisan}, pubstate = {diterbitkan}, tppubtype = {persidangan} } Gangguan Spektrum Autisme (ASC) telah mendapat perhatian umum daripada orang ramai terutamanya komuniti autisme. Individu yang mempunyai ASC dikatakan mempunyai kemahiran lisan yang lemah dan ini memberi kesan kepada mereka dalam menjalankan kehidupan seharian yang mana mereka takut untuk mendedahkan diri mereka kepada dunia kerana masalah mereka.. ASC didiagnosis di kalangan kanak-kanak dari peringkat umur 5-12 tahun dan mereka mengalami gangguan fungsi otak yang seterusnya menyebabkan kekurangan aktiviti pembangunan. Oleh itu, kajian telah menunjukkan bahawa pendekatan rajah membantu kanak-kanak dengan ASC untuk mengatasi masalah mereka dan menambah baik kemahiran visual dan lisan mereka. Sistem Komunikasi Pertukaran Gambar atau PECS terdiri daripada satu siri kad bergambar dan setiap kad mempunyai ilustrasi tersendiri dengan kapsyen padanya. Kanak-kanak ini akan memahami kad tersebut dan mereka boleh menyusun beberapa kad lain untuk membentuk ayat. Kertas kerja ini membentangkan aplikasi mudah alih yang dipanggil Prospect, yang telah dibangunkan menggunakan model pembangunan tangkas untuk perwakilan digital PECS. Aplikasi ini diharap dapat meningkatkan proses pembelajaran dan membuahkan hasil yang lebih baik. © Diterbitkan di bawah lesen oleh IOP Publishing Ltd. |
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. |
Batt, S; Acharya, U R; Adeli, H; Tenusu, G M; Adeli, A Autisme: Cause factors, early diagnosis and therapies Artikel Jurnal Reviews in the Neurosciences, 25 (6), hlm. 841-850, 2014, ISSN: 03341763, (dipetik oleh 52). Abstrak | Pautan | BibTeX | Tag: 4 Aminobutyric Acid, Remaja, Agenesis of Corpus Callosum, Animal Assisted Therapy, Anticonvulsive Agent, Artikel, Teknologi Bantuan, Perhatian, Autisme, Gangguan Spektrum Autisme, Behaviour Therapy, Penanda Biologi, Otak, Gangguan Perkembangan Kanak-kanak, Anak-anak, Kognisi, Cystine, Gangguan Perkembangan, Penyakit, Dolphin, Dolphin Assisted Therapy, DSM-5, Early Diagnosis, Emosi, Ekspresi wajah, Pengimejan Resonans Magnetik Berfungsi, Functional Neuroimaging, Gaze, Glutathione, Glutathione Disulfide, Manusia, Bayi, Komunikasi Interpersonal, Methionine, Keradangan Sistem Saraf, Neurobiology, Neurofeedback, Oxidative Stress, Meresap, Fisiologi, Kanak-kanak Prasekolah, Jurnal Keutamaan, Psychoeducation, Budak sekolah, Interaksi Sosial, Terapi ucapan, Realiti maya, Zonisamide @artikel{Bhat2014841, tajuk = {Autisme: Cause factors, early diagnosis and therapies}, 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-s2.0-84925284617&doi=10.1515%2frevneuro-2014-0056&rakan kongsi = 40&md5=caaa32e66af70e70ec325241d01564c9}, doi = {10.1515/revneuro-2014-0056}, terbitan = {03341763}, tahun = {2014}, tarikh = {2014-01-01}, jurnal = {Reviews in the Neurosciences}, isi padu = {25}, nombor = {6}, halaman = {841-850}, penerbit = {Walter de Gruyter GmbH}, abstrak = {Gangguan spektrum autisme (ASD) is a complex neurobiological disorder characterized by neuropsychological and behavioral deficits. Cognitive impairment, lack of social skills, and stereotyped behavior are the major autistic symptoms, visible after a certain age. It is one of the fastest growing disabilities. Its current prevalence rate in the U.S. estimated by the Centers for Disease Control and Prevention is 1 dalam 68 births. The genetic and physiological structure of the brain is studied to determine the pathology of autism, but diagnosis of autism at an early age is challenging due to the existing phenotypic and etiological heterogeneity among ASD individuals. Volumetric and neuroimaging techniques are explored to elucidate the neuroanatomy of the ASD brain. Nuroanatomical, neurochemical, and neuroimaging biomarkers can help in the early diagnosis and treatment of ASD. This paper presents a review of the types of autism, etiologies, early detection, and treatment of ASD. © 2014 Walter de Gruyter GmbH.}, nota = {dipetik oleh 52}, kata kunci = {4 Aminobutyric Acid, Remaja, Agenesis of Corpus Callosum, Animal Assisted Therapy, Anticonvulsive Agent, Artikel, Teknologi Bantuan, Perhatian, Autisme, Gangguan Spektrum Autisme, Behaviour Therapy, Penanda Biologi, Otak, Gangguan Perkembangan Kanak-kanak, Anak-anak, Kognisi, Cystine, Gangguan Perkembangan, Penyakit, Dolphin, Dolphin Assisted Therapy, DSM-5, Early Diagnosis, Emosi, Ekspresi wajah, Pengimejan Resonans Magnetik Berfungsi, Functional Neuroimaging, Gaze, Glutathione, Glutathione Disulfide, Manusia, Bayi, Komunikasi Interpersonal, Methionine, Keradangan Sistem Saraf, Neurobiology, Neurofeedback, Oxidative Stress, Meresap, Fisiologi, Kanak-kanak Prasekolah, Jurnal Keutamaan, Psychoeducation, Budak sekolah, Interaksi Sosial, Terapi ucapan, Realiti maya, Zonisamide}, pubstate = {diterbitkan}, tppubtype = {artikel} } Gangguan spektrum autisme (ASD) is a complex neurobiological disorder characterized by neuropsychological and behavioral deficits. Cognitive impairment, lack of social skills, and stereotyped behavior are the major autistic symptoms, visible after a certain age. It is one of the fastest growing disabilities. Its current prevalence rate in the U.S. estimated by the Centers for Disease Control and Prevention is 1 dalam 68 births. The genetic and physiological structure of the brain is studied to determine the pathology of autism, but diagnosis of autism at an early age is challenging due to the existing phenotypic and etiological heterogeneity among ASD individuals. Volumetric and neuroimaging techniques are explored to elucidate the neuroanatomy of the ASD brain. Nuroanatomical, neurochemical, and neuroimaging biomarkers can help in the early diagnosis and treatment of ASD. This paper presents a review of the types of autism, etiologies, early detection, and treatment of ASD. © 2014 Walter de Gruyter GmbH. |
2012 |
Penjagaan, P R P; Pirapaharan, K; bazar, S A; Ismail, R; Liyanage, D L D A; Senanayake, S S H M U L; Penjagaan, S R H Autisme, EEG and brain electromagnetics research Persidangan 2012, ISBN: 9781467316668, (dipetik oleh 11). Abstrak | Pautan | BibTeX | Tag: Kejuruteraan Bioperubatan, Otak, Brain Regions, Ketepatan Pengelasan, Penyakit, EEG Signals, Electromagnetic Signals, Electromagnetics, Electromagnetism, Domain Kekerapan, International Group, Multilayer Perception Neural Networks, Neuroimaging, Analisis Komponen Utama @ persidangan{Hoole2012541, tajuk = {Autisme, EEG and brain electromagnetics research}, pengarang = {P R P Hoole and K Pirapaharan and S A Basar and R Ismail and D L D A Liyanage and S S H M U L Senanayake and S R H Hoole}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876771339&doi=10.1109%2fIECBES.2012.6498036&rakan kongsi = 40&md5=9f9390b30b859a90936c66699c1a5115}, doi = {10.1109/IECBES.2012.6498036}, isbn = {9781467316668}, tahun = {2012}, tarikh = {2012-01-01}, jurnal = {2012 Persidangan IEEE-EMBS mengenai Kejuruteraan dan Sains Bioperubatan, IECBES 2012}, halaman = {541-543}, abstrak = {There has been a significant increase in the incidence of autism. We report the work on autism by our international group, on the growing attention paid to EEG based diagnosis and the interest in tracing EEG changes to brain electromagnetic signals (BEMS), seeking the cause of autism and the brain regions of its origin. The time- and frequency domain and principal component analysis (PCA) of these EEG signals with a Multilayer Perception Neural Network (MLP) identifies an autistic subject and helps improve classification accuracy. We show differences between a working brain and a relaxed brain, especially in the Alpha waves used for diagnosis. © 2012 IEEE.}, nota = {dipetik oleh 11}, kata kunci = {Kejuruteraan Bioperubatan, Otak, Brain Regions, Ketepatan Pengelasan, Penyakit, EEG Signals, Electromagnetic Signals, Electromagnetics, Electromagnetism, Domain Kekerapan, International Group, Multilayer Perception Neural Networks, Neuroimaging, Analisis Komponen Utama}, pubstate = {diterbitkan}, tppubtype = {persidangan} } There has been a significant increase in the incidence of autism. We report the work on autism by our international group, on the growing attention paid to EEG based diagnosis and the interest in tracing EEG changes to brain electromagnetic signals (BEMS), seeking the cause of autism and the brain regions of its origin. The time- and frequency domain and principal component analysis (PCA) of these EEG signals with a Multilayer Perception Neural Network (MLP) identifies an autistic subject and helps improve classification accuracy. We show differences between a working brain and a relaxed brain, especially in the Alpha waves used for diagnosis. © 2012 IEEE. |
Cheah, P -S; Ramshaw, H S; Thomas, P; Toyo-Oka, K; Syiling, X; Martin, S; Coyle, P; Guthridge, M A; Stomski, F; Tetapi, Van Den M; Wynshaw-Boris, A; Lopez, A F; Schwarz, Q Neurodevelopmental and neuropsychiatric behaviour defects arise from 14-3-3ζ deficiency Artikel Jurnal Molecular Psychiatry, 17 (4), hlm. 451-466, 2012, ISSN: 13594184, (dipetik oleh 58). Abstrak | Pautan | BibTeX | Tag: 14-3-3 Proteins, Animal Experiment, Animal Model, Animal Tissue, Haiwan, Artikel, Autisme, Gangguan Tingkah Laku, Bipolar Disorder, Otak, Cell Movement, Sel, Cognitive Defect, Kajian Terkawal, Berbudaya, Disease Models, Disrupted in Schizophrenia 1 Protein, Embryo, Perempuan, Gen, Gene Deletion, Kecenderungan Genetik kepada Penyakit, Glutamic Acid, Hippocampal Mossy Fiber, Hippocampus, Manusia, Hiperaktif, Inbred C57BL, Isoprotein, Knockout, Belajar, Lelaki, Maze Learning, Memory, Tikus, Motor Activity, Tetikus, Neurogenesis, Neuronal Migration Disorder, Neurons, Neuropsychiatry, Bukan Manusia, Jurnal Keutamaan, Protein 14-3-3, Protein 14-3-3 Zeta, Protein Deficiency, Protein Interaction, Recognition, Faktor risiko, Skizofrenia, Sensory Gating, Synapse, Dadah yang tidak dikelaskan @artikel{Cheah2012451, tajuk = {Neurodevelopmental and neuropsychiatric behaviour defects arise from 14-3-3ζ deficiency}, pengarang = {P -S Cheah and H S Ramshaw and P Q Thomas and K Toyo-Oka and X Xu and S Martin and P Coyle and M A Guthridge and F Stomski and M Van Den Buuse and A Wynshaw-Boris and A F Lopez and Q P Schwarz}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859007028&doi=10.1038%2fmp.2011.158&rakan kongsi = 40&md5=7f507fef31a192a10b3cde7bf69b5442}, doi = {10.1038/mp.2011.158}, terbitan = {13594184}, tahun = {2012}, tarikh = {2012-01-01}, jurnal = {Molecular Psychiatry}, isi padu = {17}, nombor = {4}, halaman = {451-466}, abstrak = {Complex neuropsychiatric disorders are believed to arise from multiple synergistic deficiencies within connected biological networks controlling neuronal migration, axonal pathfinding and synapse formation. Di sini, we show that deletion of 14-3-3ζ causes neurodevelopmental anomalies similar to those seen in neuropsychiatric disorders such as schizophrenia, autism spectrum disorder and bipolar disorder. 14-3-3ζ-Deficient mice displayed striking behavioural and cognitive deficiencies including a reduced capacity to learn and remember, hyperactivity and disrupted sensorimotor gating. These deficits are accompanied by subtle developmental abnormalities of the hippocampus that are underpinned by aberrant neuronal migration. Significantly, 14-3-3ζ- deficient mice exhibited abnormal mossy fibre navigation and glutamatergic synapse formation. The molecular basis of these defects involves the schizophrenia risk factor, DISC1, which interacts isoform specifically with 14-3-3ζ. Our data provide the first evidence of a direct role for 14-3-3ζ deficiency in the aetiology of neurodevelopmental disorders and identifies 14-3-3ζ as a central risk factor in the schizophrenia protein interaction network. © 2012 Macmillan Publishers Limited All rights reserved.}, nota = {dipetik oleh 58}, kata kunci = {14-3-3 Proteins, Animal Experiment, Animal Model, Animal Tissue, Haiwan, Artikel, Autisme, Gangguan Tingkah Laku, Bipolar Disorder, Otak, Cell Movement, Sel, Cognitive Defect, Kajian Terkawal, Berbudaya, Disease Models, Disrupted in Schizophrenia 1 Protein, Embryo, Perempuan, Gen, Gene Deletion, Kecenderungan Genetik kepada Penyakit, Glutamic Acid, Hippocampal Mossy Fiber, Hippocampus, Manusia, Hiperaktif, Inbred C57BL, Isoprotein, Knockout, Belajar, Lelaki, Maze Learning, Memory, Tikus, Motor Activity, Tetikus, Neurogenesis, Neuronal Migration Disorder, Neurons, Neuropsychiatry, Bukan Manusia, Jurnal Keutamaan, Protein 14-3-3, Protein 14-3-3 Zeta, Protein Deficiency, Protein Interaction, Recognition, Faktor risiko, Skizofrenia, Sensory Gating, Synapse, Dadah yang tidak dikelaskan}, pubstate = {diterbitkan}, tppubtype = {artikel} } Complex neuropsychiatric disorders are believed to arise from multiple synergistic deficiencies within connected biological networks controlling neuronal migration, axonal pathfinding and synapse formation. Di sini, we show that deletion of 14-3-3ζ causes neurodevelopmental anomalies similar to those seen in neuropsychiatric disorders such as schizophrenia, autism spectrum disorder and bipolar disorder. 14-3-3ζ-Deficient mice displayed striking behavioural and cognitive deficiencies including a reduced capacity to learn and remember, hyperactivity and disrupted sensorimotor gating. These deficits are accompanied by subtle developmental abnormalities of the hippocampus that are underpinned by aberrant neuronal migration. Significantly, 14-3-3ζ- deficient mice exhibited abnormal mossy fibre navigation and glutamatergic synapse formation. The molecular basis of these defects involves the schizophrenia risk factor, DISC1, which interacts isoform specifically with 14-3-3ζ. Our data provide the first evidence of a direct role for 14-3-3ζ deficiency in the aetiology of neurodevelopmental disorders and identifies 14-3-3ζ as a central risk factor in the schizophrenia protein interaction network. © 2012 Macmillan Publishers Limited All rights reserved. |