Journal Browser

► Journal Browser

Special Issue "Advanced Neural Signal Analysis in Autism Spectrum Disorder"

Share This Special Issue

Special Issue Editors

E-Mail Website
Guest Editor

State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
Interests: neuro signal analysis; brain–computer interface; brain disorders

Prof. Dr. Jing Li

E-Mail Website
Co-Guest Editor

School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, China
Interests: artificial Intelligence-based brain disorder diagnosis; abnormal behavior detection; crowd counting

Special Issue Information

Dear Colleagues,

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by persistent deficits in social communication and social interaction, restricted, repetitive patterns of behavior, interests, or activities. The underlying mechanisms of ASD remain unclear, and researchers have been studying them for decades. It is known that the brain activity of individuals with ASD is different from that of typically developing individuals. Advanced neural signal analysis techniques, such as electroencephalography (EEG), magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), event-related potentials (ERP), and machine learning techniques, can be used to explore these differences and gain insights into the underlying neural mechanisms of ASD.

This Special Issue aims to advance our understanding of the neural mechanisms underlying autism, contribute to the development of more effective diagnosis and treatment strategies, and provide an interdisciplinary platform for researchers to share the latest research advances about the applications of neural signal analysis methods in ASD.

Prof. Dr. Gaoxiang Ouyang
Prof. Dr. Jing Li
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Brain Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

EEG and MEG analysis in ASD
fMRI analysis in ASD
ERP analysis in ASD
machine learning analysis in ASD
the diagnosis and treatment of ASD

Published Papers (2 papers)

Download All Papers

Order results

Result details

Show export options Show export options

Select all

Export citation of selected articles as:

Research

Jump to: Other

15 pages, 3247 KiB

Open AccessArticle

Altered Relationship between Functional Connectivity and Fiber-Bundle Structure in High-Functioning Male Adults with Autism Spectrum Disorder

and

Brain Sci. 2023, 13(7), 1098; https://doi.org/10.3390/brainsci13071098 - 20 Jul 2023

Cited by 1 | Viewed by 830

Abstract

Autism spectrum disorder (ASD) is a pervasive neurodevelopmental disorder characterized by abnormalities in structure and function of the brain. However, how ASD affects the relationship between fiber-bundle microstructures and functional connectivity (FC) remains unclear. Here, we analyzed structural and functional images of 26 high-functioning adult males with ASD, alongside 26 age-, gender-, and full-scale IQ-matched typically developing controls (TDCs) from the BNI dataset in the ABIDE database. We utilized fixel-based analysis to extract microstructural information from fiber tracts, which was then used to predict FC using a multilinear model. Our results revealed that the structure–function relationships in both ASD and TDC cohorts were strongly aligned in the primary cortex but decoupled in the high-order cortex, and the ASD patients exhibited reduced structure–function relationships throughout the cortex compared to the TDCs. Furthermore, we observed that the disrupted relationships in ASD were primarily driven by alterations in FC rather than fiber-bundle microstructures. The structure–function relationships in the left superior parietal cortex, right precentral and inferior temporal cortices, and bilateral insula could predict individual differences in clinical symptoms of ASD patients. These findings underscore the significance of altered relationships between fiber-bundle microstructures and FC in the etiology of ASD. Full article

(This article belongs to the Special Issue Advanced Neural Signal Analysis in Autism Spectrum Disorder)

► Show Figures

Figure 1

Other

Jump to: Research

17 pages, 1897 KiB

Open AccessBrief Report

Detecting Central Auditory Processing Disorders in Awake Mice

and

Brain Sci. 2023, 13(11), 1539; https://doi.org/10.3390/brainsci13111539 - 31 Oct 2023

Viewed by 630

Abstract

Mice are increasingly used as models of human-acquired neurological or neurodevelopmental conditions, such as autism, schizophrenia, and Alzheimer’s disease. All these conditions involve central auditory processing disorders, which have been little investigated despite their potential for providing interesting insights into the mechanisms behind such disorders. Alterations of the auditory steady-state response to 40 Hz click trains are associated with an imbalance between neuronal excitation and inhibition, a mechanism thought to be common to many neurological disorders. Here, we demonstrate the value of presenting click trains at various rates to mice with chronically implanted pins above the inferior colliculus and the auditory cortex for obtaining easy, reliable, and long-lasting access to subcortical and cortical complex auditory processing in awake mice. Using this protocol on a mutant mouse model of autism with a defect of the Shank3 gene, we show that the neural response is impaired at high click rates (above 60 Hz) and that this impairment is visible subcortically—two results that cannot be obtained with classical protocols for cortical EEG recordings in response to stimulation at 40 Hz. These results demonstrate the value and necessity of a more complete investigation of central auditory processing disorders in mouse models of neurological or neurodevelopmental disorders. Full article

(This article belongs to the Special Issue Advanced Neural Signal Analysis in Autism Spectrum Disorder)

► Show Figures

Journal Menu

Journal Browser

Special Issue "Advanced Neural Signal Analysis in Autism Spectrum Disorder"

Share This Special Issue

Special Issue Editors

Special Issue Information

Keywords

Published Papers (2 papers)

Research

Other

Further Information

Guidelines

MDPI Initiatives

Follow MDPI