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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

Anatomical and functional brain studies have converged to the hypothesis that Autism Spectrum Disorders (ASD) are associated with atypical connectivity. Using a modified resting-state paradigm to drive subjects' attention, we provide…

神经元与认知 · 定量生物学 2012-11-21 Pablo Barttfeld , Bruno Wicker , Sebastián Cukier , Silvana Navarta , Sergio Lew , Ramón Leiguarda , Mariano Sigman

Functional connectomes derived from functional magnetic resonance imaging have long been used to understand the functional organization of the brain. Nevertheless, a connectome is intrinsically linked to the atlas used to create it. In…

神经元与认知 · 定量生物学 2021-07-06 Javid Dadashkarimi , Amin Karbasi , Dustin Scheinost

Autism spectrum disorder (ASD) is regarded as a brain disease with globally disrupted neuronal networks. Even though fMRI studies have revealed abnormal functional connectivity in ASD, they have not reached a consensus of the disrupted…

计算机视觉与模式识别 · 计算机科学 2017-07-26 Hongyoon Choi

Early brain development is characterized by the formation of a highly organized structural connectome. The interconnected nature of this connectome underlies the brain's cognitive abilities and influences its response to diseases and…

神经元与认知 · 定量生物学 2023-08-24 Yihan Wu , Lana Vasung , Camilo Calixto , Ali Gholipour , Davood Karimi

A developmental disorder that severely damages communicative and social functions, the Autism Spectrum Disorder (ASD) also presents aspects related to mental rigidity, repetitive behavior, and difficulty in abstract reasoning. More,…

神经与进化计算 · 计算机科学 2018-11-20 Daniele Q. M. Madureira , Vera Lucia P. S. Caminha , Rogerio Salvini

The human brain is a complex system, and understanding its mechanisms has been a long-standing challenge in neuroscience. The study of the functional connectome, which maps the functional connections between different brain regions, has…

神经与进化计算 · 计算机科学 2025-04-14 Tananun Songdechakraiwut , Yutong Wu

Over the last years, increasing evidence has fuelled the hypothesis that Autism Spectrum Disorder (ASD) is a condition of altered brain functional connectivity. The great majority of these empirical studies rely on functional magnetic…

神经元与认知 · 定量生物学 2010-08-02 Pablo Barttfeld , Bruno Wicker , Sebastián Cukier , Silvana Navarta , Sergio Lew , Mariano Sigman

The large-scale structural ingredients of the brain and neural connectomes have been identified in recent years. These are, similar to the features found in many other real networks: the arrangement of brain regions into modules and the…

神经元与认知 · 定量生物学 2018-11-01 Gorka Zamora-López , Yuhan Chen , Gustavo Deco , Morten L. Kringelbach , Changsong Zhou

Autism Spectrum Disorder (autism) is a neurodevelopmental delay which affects at least 1 in 44 children. Like many neurological disorder phenotypes, the diagnostic features are observable, can be tracked over time, and can be managed or…

计算机与社会 · 计算机科学 2023-03-08 Peter Washington , Dennis P. Wall

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

Imaging studies suggest that the functional connectivity patterns of resting state networks (RS-networks) reflect underlying structural connectivity (SC). If the connectome constrains how brain areas are functionally connected, the…

神经元与认知 · 定量生物学 2016-02-25 Andreas Spiegler , Enrique C. A. Hansen , Christophe Bernard , Anthony R. McIntosh , Viktor K. Jirsa

In this paper, we tackle a problem of predicting phenotypes from structural connectomes. We propose that normalized Laplacian spectra can capture structural properties of brain networks, and hence graph spectral distributions are useful for…

计算机视觉与模式识别 · 计算机科学 2016-11-29 Yulia Dodonova , Mikhail Belyaev , Anna Tkachev , Dmitry Petrov , Leonid Zhukov

Current neuroimaging studies on neurodegenerative diseases and psychological risk factors have been developed predominantly in non Hispanic White cohorts, with other populations markedly underrepresented. In this work, we construct directed…

While the prevalence of Autism Spectrum Disorder (ASD) is increasing, research continues in an effort to identify common etiological and pathophysiological bases. In this regard, modern machine learning and network science pave the way for…

图像与视频处理 · 电气工程与系统科学 2020-08-06 Sarah Itani , Dorina Thanou

The connectome, a map of the structural and/or functional connections in the brain, provides a complex representation of the neurobiological phenotypes on which it supervenes. This information-rich data modality has the potential to…

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by atypical functional brain connectivity and subtle structural alterations. rs-fMRI has been widely used to identify disruptions in large-scale brain…

计算机视觉与模式识别 · 计算机科学 2026-03-17 Ansar Rahman , Hassan Shojaee-Mend , Sepideh Hatamikia

A key question in modern neuroscience is how cognitive changes in a human brain can be quantified and captured by functional connectomes (FC) . A systematic approach to measure pairwise functional distance at different brain states is…

神经元与认知 · 定量生物学 2018-09-26 Enrico Amico , Alex Arenas , Joaquin Goni

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,…