Computational Neuroscience’s Influence on Autism Neuro-Transmission Research: Mapping Serotonin, Dopamine, GABA, and Glutamate
Autism spectrum disorder is a complex and diverse neurobiological condition. Understanding the mechanisms and causes of the disorder requires an in-depth study and modeling of the immune, mitochondrial, and neurological systems. Computational neuroscience enhances psychiatric science by employing ma...
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| Format: | Article |
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MDPI AG
2025-06-01
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| Series: | Biomedicines |
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| Online Access: | https://www.mdpi.com/2227-9059/13/6/1420 |
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| author | Victoria Bamicha Pantelis Pergantis Charalabos Skianis Athanasios Drigas |
| author_facet | Victoria Bamicha Pantelis Pergantis Charalabos Skianis Athanasios Drigas |
| author_sort | Victoria Bamicha |
| collection | DOAJ |
| description | Autism spectrum disorder is a complex and diverse neurobiological condition. Understanding the mechanisms and causes of the disorder requires an in-depth study and modeling of the immune, mitochondrial, and neurological systems. Computational neuroscience enhances psychiatric science by employing machine learning techniques on neural networks, combining data on brain activity with the pathophysiological and biological characteristics of psychiatric–neurobiological disorders. The research explores the integration of neurotransmitter activity into computational models and their potential roles in diagnosing and treating autism using computational methods. This research employs a narrative review that focuses on four neurotransmitter systems directly related to the manifestation of autism, specifically the following neurotransmitters: serotonin, dopamine, glutamate, and gamma-aminobutyric acid (GABA). This study reveals that computational neuroscience advances autism diagnosis and treatment by identifying genetic factors and improving the efficiency of diagnosis. Neurotransmitters play a crucial role in the function of brain cells, enhancing synaptic conduction and signal transmission. However, the interaction of chemical compounds with genetic factors and network alterations influences the pathophysiology of autism. This study integrates the investigation of computational approaches in four neurotransmitter systems associated with ASD. It improves our understanding of the disorder and provides insights that could stimulate further research, thereby contributing to the development of effective treatments. |
| format | Article |
| id | doaj-art-4408bc4232264741b29b3cee81eb6753 |
| institution | OA Journals |
| issn | 2227-9059 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biomedicines |
| spelling | doaj-art-4408bc4232264741b29b3cee81eb67532025-08-20T02:24:41ZengMDPI AGBiomedicines2227-90592025-06-01136142010.3390/biomedicines13061420Computational Neuroscience’s Influence on Autism Neuro-Transmission Research: Mapping Serotonin, Dopamine, GABA, and GlutamateVictoria Bamicha0Pantelis Pergantis1Charalabos Skianis2Athanasios Drigas3Net Media Lab & Mind & Brain R&D, Institute of Informatics & Telecommunications, National Centre of Scientific Research ‘Demokritos’, 153 41 Agia Paraskevi, GreeceNet Media Lab & Mind & Brain R&D, Institute of Informatics & Telecommunications, National Centre of Scientific Research ‘Demokritos’, 153 41 Agia Paraskevi, GreeceDepartment of Information & Communication Systems Engineering, University of the Aegean, 832 00 Karlovasi, GreeceNet Media Lab & Mind & Brain R&D, Institute of Informatics & Telecommunications, National Centre of Scientific Research ‘Demokritos’, 153 41 Agia Paraskevi, GreeceAutism spectrum disorder is a complex and diverse neurobiological condition. Understanding the mechanisms and causes of the disorder requires an in-depth study and modeling of the immune, mitochondrial, and neurological systems. Computational neuroscience enhances psychiatric science by employing machine learning techniques on neural networks, combining data on brain activity with the pathophysiological and biological characteristics of psychiatric–neurobiological disorders. The research explores the integration of neurotransmitter activity into computational models and their potential roles in diagnosing and treating autism using computational methods. This research employs a narrative review that focuses on four neurotransmitter systems directly related to the manifestation of autism, specifically the following neurotransmitters: serotonin, dopamine, glutamate, and gamma-aminobutyric acid (GABA). This study reveals that computational neuroscience advances autism diagnosis and treatment by identifying genetic factors and improving the efficiency of diagnosis. Neurotransmitters play a crucial role in the function of brain cells, enhancing synaptic conduction and signal transmission. However, the interaction of chemical compounds with genetic factors and network alterations influences the pathophysiology of autism. This study integrates the investigation of computational approaches in four neurotransmitter systems associated with ASD. It improves our understanding of the disorder and provides insights that could stimulate further research, thereby contributing to the development of effective treatments.https://www.mdpi.com/2227-9059/13/6/1420computational neurosciencecomputational psychiatryautism spectrum disorderneurotransmitter functionserotonergic systemdopaminergic system |
| spellingShingle | Victoria Bamicha Pantelis Pergantis Charalabos Skianis Athanasios Drigas Computational Neuroscience’s Influence on Autism Neuro-Transmission Research: Mapping Serotonin, Dopamine, GABA, and Glutamate Biomedicines computational neuroscience computational psychiatry autism spectrum disorder neurotransmitter function serotonergic system dopaminergic system |
| title | Computational Neuroscience’s Influence on Autism Neuro-Transmission Research: Mapping Serotonin, Dopamine, GABA, and Glutamate |
| title_full | Computational Neuroscience’s Influence on Autism Neuro-Transmission Research: Mapping Serotonin, Dopamine, GABA, and Glutamate |
| title_fullStr | Computational Neuroscience’s Influence on Autism Neuro-Transmission Research: Mapping Serotonin, Dopamine, GABA, and Glutamate |
| title_full_unstemmed | Computational Neuroscience’s Influence on Autism Neuro-Transmission Research: Mapping Serotonin, Dopamine, GABA, and Glutamate |
| title_short | Computational Neuroscience’s Influence on Autism Neuro-Transmission Research: Mapping Serotonin, Dopamine, GABA, and Glutamate |
| title_sort | computational neuroscience s influence on autism neuro transmission research mapping serotonin dopamine gaba and glutamate |
| topic | computational neuroscience computational psychiatry autism spectrum disorder neurotransmitter function serotonergic system dopaminergic system |
| url | https://www.mdpi.com/2227-9059/13/6/1420 |
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