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Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder impacting social and behavioral development. Resting-state fMRI, a non-invasive tool for capturing brain connectivity patterns, aids in early ASD diagnosis and differentiation…

机器学习 · 计算机科学 2025-02-27 Ziqiao Weng , Weidong Cai , Bo Zhou

Autism spectrum disorder is a neuro-developmental disorder characterized by abnormalities of neural synchronization. In this study, functional near infrared spectroscopy (fNIRS) is used to study the difference in functional connectivity in…

神经元与认知 · 定量生物学 2013-09-24 Huilin Zhu , Yuebo Fan , Huan Guo , Dan Huang , Sailing He

Objective. The paper investigates the presence of autism using the functional brain connectivity measures derived from electro-encephalogram (EEG) of children during face perception tasks. Approach. Phase synchronized patterns from…

Currently, the diagnosis of Autism Spectrum Disorder (ASD) is dependent upon a subjective, time-consuming evaluation of behavioral tests by an expert clinician. Non-invasive functional MRI (fMRI) characterizes brain connectivity and may be…

机器学习 · 计算机科学 2020-05-26 Cooper J. Mellema , Alex Treacher , Kevin P. Nguyen , Albert Montillo

Background: Non-linear alterations in brain network connectivity may represent early neural signatures of Alzheimer's disease (AD) pathology in cognitively normal older adults. Understanding these changes and their cognitive relevance may…

Electroencephalography (EEG)-based attention disorder research seeks to understand brain activity patterns associated with attention. Previous studies have mainly focused on identifying brain regions involved in cognitive processes or…

神经元与认知 · 定量生物学 2024-10-15 Debashis Das Chakladar , Foteini Simistira Liwicki , Rajkumar Saini

Autism spectrum disorder (ASD) is one of the major developmental disorders affecting children. Recently, it has been hypothesized that ASD is associated with atypical brain connectivities. A substantial body of researches use Pearson's…

神经元与认知 · 定量生物学 2019-03-06 Biwei Huang , Kun Zhang , Ruben Sanchez-Romero , Joseph Ramsey , Madelyn Glymour , Clark Glymour

This paper proposes a novel approach of integrating different neuroimaging techniques to characterize an autistic brain. Different techniques like EEG, fMRI and DTI have traditionally been used to find biomarkers for autism, but there have…

Objective While Alzheimer's disease (AD) and frontotemporal dementia (FTD) show some common memory deficits, these two disorders show partially overlapping complex spatiotemporal patterns of neural dynamics. The objective of this study is…

神经元与认知 · 定量生物学 2025-07-14 Sungwoo Ahn , Evie A. Malaia , Leonid L Rubchinsky

Functional Magnetic Resonance Imaging (fMRI) captures the temporal dynamics of neural activity as a function of spatial location in the brain. Thus, fMRI scans are represented as 4-Dimensional (3-space + 1-time) tensors. And it is widely…

计算机视觉与模式识别 · 计算机科学 2020-02-17 Ahmed El-Gazzar , Mirjam Quaak , Leonardo Cerliani , Peter Bloem , Guido van Wingen , Rajat Mani Thomas

Finding the underlying relationships among multiple imaging modalities in a coherent fashion is one of challenging problems in the multimodal analysis. In this study, we propose a novel multimodal network approach based on multidi-…

定量方法 · 定量生物学 2016-02-26 Hyekyoung Lee , Hyejin Kang , Moo K. Chung , Seonhee Lim , Bung-Nyun Kim , Dong Soo Lee

What makes a network complex, in addition to its size, is the interconnected interactions between elements, disruption of which inevitably results in dysfunction. Likewise, the brain networks' complexity arises from interactions beyond pair…

神经元与认知 · 定量生物学 2022-04-19 Z. Moradimanesh , R. Khosrowabadi , M. Eshaghi Gordji , G. R. Jafari

The study's objective is to explore the distinctions in the functional brain network connectivity between Alzheimer's Disease (AD) patients and normal controls using Functional Magnetic Resonance Imaging (fMRI). The study included 590…

神经元与认知 · 定量生物学 2023-05-17 Yongcheng Yao

Autism spectrum disorder (ASD) is a neurodevelopmental condition impacting high-level cognitive processing and social behavior. Recognizing the distributed nature of brain function, neuroscientists are exploiting the connectome to aid with…

神经元与认知 · 定量生物学 2019-09-26 Ai Wern Chung , Markus D. Schirmer

Resting-state functional Magnetic Resonance Imaging (R-fMRI) holds the promise to reveal functional biomarkers of neuropsychiatric disorders. However, extracting such biomarkers is challenging for complex multi-faceted neuropatholo-gies,…

Autism spectrum disorder (ASD) is associated with behavioral and communication problems. Often, functional magnetic resonance imaging (fMRI) is used to detect and characterize brain changes related to the disorder. Recently, machine…

图像与视频处理 · 电气工程与系统科学 2020-04-22 Marcel Bengs , Nils Gessert , Alexander Schlaefer

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition associated with difficulties with social interactions, communication, and restricted or repetitive behaviors. To characterize ASD, investigators often use functional…

统计方法学 · 统计学 2026-05-12 Jialu Ran , Sarah Shultz , Benjamin B. Risk , David Benkeser

Measuring transient functional connectivity is an important challenge in Electroencephalogram (EEG) research. Here, the rich potential for insightful, discriminative information of brain activity offered by high temporal resolution is…

神经元与认知 · 定量生物学 2025-02-11 Om Roy , Yashar Moshfeghi , Agustin Ibanez , Francisco Lopera , Mario A Parra , Keith M Smith

These days, computational diagnosis strategies of neuropsychiatric disorders are gaining attention day by day. It's critical to determine the brain's functional connectivity based on Functional-Magnetic-Resonance-Imaging(fMRI) to diagnose…

计算机视觉与模式识别 · 计算机科学 2022-05-05 Sartaj Ahmed Salman , Zhichao Lian , Marva Saleem , Yuduo Zhang

Autism Spectrum Disorder (ASD) is a pervasive developmental disorder of the central nervous system, primarily manifesting in childhood. It is characterized by atypical and repetitive behaviors. Currently, diagnostic methods mainly rely on…

神经元与认知 · 定量生物学 2025-03-21 Yiqian Luo , Qiurong Chen , Fali Li , Liang Yi , Peng Xu , Yangsong Zhang