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In this article, we introduce a novel problem of audio-visual autism behavior recognition, which includes social behavior recognition, an essential aspect previously omitted in AI-assisted autism screening research. We define the task at…

High-frequency heart rate variability (HRV) has identified parasympathetic nervous system alterations in autism spectrum disorder (ASD). In a cohort of school-aged children with and without ASD, we test a set of alternative linear and…

Quantitative Methods · Quantitative Biology 2020-04-27 Martin G Frasch , Chao Shen , Hau-Tieng Wu , Alexander Mueller , Emily Neuhaus , Raphael A. Bernier , Dana Kamara , Theodore P. Beauchaine

Determining biomarkers for autism spectrum disorder (ASD) is crucial to understanding its mechanisms. Recently deep learning methods have achieved success in the classification task of ASD using fMRI data. However, due to the black-box…

Computer Vision and Pattern Recognition · Computer Science 2019-10-14 Juntang Zhuang , Nicha C. Dvornek , Xiaoxiao Li , Pamela Ventola , James S. Duncan

It has become increasingly popular to study the brain as a network due to the realization that functionality cannot be explained exclusively by independent activation of specialized regions. Instead, across a large spectrum of behaviors,…

Neurons and Cognition · Quantitative Biology 2014-07-22 Petko Bogdanov , Nazli Dereli , Danielle S. Bassett , Scott T. Grafton , Ambuj K. Singh

In recent years, network analyses have been used to evaluate brain reorganization following stroke. However, many studies have often focused on single topological scales, leading to an incomplete model of how focal brain lesions affect…

Neurons and Cognition · Quantitative Biology 2014-09-10 Fabrizio De Vico Fallani , Floriana Pichiorri , Giovanni Morone , Marco Molinari , Fabio Babiloni , Febo Cincotti , Donatella Mattia

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder, and behavioral treatment interventions have shown promise for young children with ASD. However, there is limited progress in understanding the effect of each type of…

Neurons and Cognition · Quantitative Biology 2019-09-04 Juntang Zhuang , Nicha C. Dvornek , Qingyu Zhao , Xiaoxiao Li , Pamela Ventola , James S. Duncan

Large-scale white matter pathways crisscrossing the cortex create a complex pattern of connectivity that underlies human cognitive function. Generative mechanisms for this architecture have been difficult to identify in part because little…

Neurons and Cognition · Quantitative Biology 2015-06-16 Florian Klimm , Danielle S. Bassett , Jean M. Carlson , Peter J. Mucha

The anatomical structure of the brain can be observed via non-invasive techniques such as diffusion imaging. However, these are imperfect because they miss connections that are actually known to exist, especially long range…

Neurons and Cognition · Quantitative Biology 2015-02-25 Somwrita Sarkar , Sanjay Chawla , Donna Xu

Schizophrenia (SZ) is a brain disorder leading to detached mind's normally integrated processes. Hence, the exploration of the symptoms in relation to functional connectivity (FC) had great relevance in the field. FC can be investigated on…

Neurons and Cognition · Quantitative Biology 2026-04-08 Davide Coluzzi , Giuseppe Baselli

Many existing methods that use functional magnetic resonance imaging (fMRI) classify brain disorders, such as autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD), often overlook the integration of spatial and…

Image and Video Processing · Electrical Eng. & Systems 2025-08-08 Wenhao Dong , Yueyang Li , Weiming Zeng , Lei Chen , Hongjie Yan , Wai Ting Siok , Nizhuan Wang

Volitional memory control supports adaptive cognition by enabling intentional suppression of goal-irrelevant, interfering memories and recall of goal-relevant memories. Neural mechanisms of suppression and recall have been studied largely…

Neurons and Cognition · Quantitative Biology 2026-04-14 Shruti Kinger , Mrinmoy Chakrabarty

Autism spectrum disorder ASD is a neurodevelopmental disorder associated with challenges in communication, social interaction, and repetitive behaviors. Getting a clear diagnosis for a child is necessary for starting early intervention and…

Machine Learning · Computer Science 2021-10-05 Afef Saihi , Hussam Alshraideh

Individuals with Autism Spectrum Disorder (ASD) often experience challenges in health, communication, and sensory processing; therefore, early diagnosis is necessary for proper treatment and care. In this work, we consider the problem of…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 M. Serna-Aguilera , X. B. Nguyen , A. Singh , L. Rockers , S. Park , L. Neely , H. Seo , K. Luu

Dynamic networks have been increasingly used to characterize brain connectivity that varies during resting and task states. In such characterizations, a connectivity network is typically measured at each time point for a subject over a…

Methodology · Statistics 2023-03-23 Maoyu Zhang , Biao Cai , Wenlin Dai , Dehan Kong , Hongyu Zhao , Jingfei Zhang

Autism Spectrum Disorder (ASD) is a lifelong condition that significantly influencing an individual's communication abilities and their social interactions. Early diagnosis and intervention are critical due to the profound impact of ASD's…

Computation and Language · Computer Science 2024-09-04 Jihyun Mun , Sunhee Kim , Minhwa Chung

Alterations in functional brain connectivity characterize neurodegenerative disorders such as Alzheimer's disease (AD) and frontotemporal dementia (FTD). As a non-invasive and cost-effective technique, electroencephalography (EEG) is…

Applications · Statistics 2025-11-19 Paolo Victor Redondo , Raphaël Huser , Hernando Ombao

Autism Spectrum Disorder (ASD) is an umbrella term for a wide range of developmental disorders. For the past two decades, researchers proposed the use of various technologies in order to tackle specific symptoms of the disorder. Although…

Human-Computer Interaction · Computer Science 2018-07-31 Shadan Golestan , Pegah Soleiman , Hadi Moradi

Functional brain connectivity, as revealed through distant correlations in the signals measured by functional Magnetic Resonance Imaging (fMRI), is a promising source of biomarkers of brain pathologies. However, establishing and using…

Amyotrophic Lateral Sclerosis (ALS) constitutes a progressive neurodegenerative disease with varying symptoms, including decline in speech intelligibility. Existing studies, which recognize dysarthria in ALS patients by predicting the…

Machine Learning · Computer Science 2025-03-05 Loukas Ilias , Dimitris Askounis

We investigate the use of modularity as a quantifier of whole-brain functional networks. Brain networks are constructed from functional magnetic resonance imaging while subjects listened to auditory pieces that varied in emotivity and…

Neurons and Cognition · Quantitative Biology 2020-09-23 Melia E. Bonomo , Christof Karmonik , Anthony K. Brandt , J. Todd Frazier