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There has been huge interest in studying human brain connectomes inferred from different imaging modalities and exploring their relationship with human traits, such as cognition. Brain connectomes are usually represented as networks, with…

机器学习 · 统计学 2021-09-14 Meimei Liu , Zhengwu Zhang , David B. Dunson

The human structural connectome has a complex internal community organization, characterized by a high degree of overlap and related to functional and cognitive phenomena. We explored connectivity properties in connectome networks and…

无序系统与神经网络 · 物理学 2025-02-24 V. Tiselko , O. Dogonasheva , A. Myshkin , O. Valba

Disturbances in temporality, such as desynchronization with the social environment and its unpredictability, are considered core features of autism with a deep impact on relationships. However, limitations regarding research on this issue…

计算与语言 · 计算机科学 2026-02-16 Kacper Dudzic , Karolina Drożdż , Maciej Wodziński , Anastazja Szuła , Marcin Moskalewicz

The brain structural connectome is generated by a collection of white matter fiber bundles constructed from diffusion weighted MRI (dMRI), acting as highways for neural activity. There has been abundant interest in studying how the…

统计方法学 · 统计学 2022-11-03 Didong Li , Phuc Nguyen , Zhengwu Zhang , David B Dunson

Autism Spectrum Disorder (ASD) is characterized by an altered phenotype in social interaction and communication. Additionally, autism typically manifests differently in females as opposed to males: a phenomenon that has likely led to…

神经元与认知 · 定量生物学 2024-05-08 Michelle McCleod , Sean Borneman , Evie Malaia

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…

Some evidence suggests that people with autism spectrum disorder exhibit patterns of brain functional dysconnectivity relative to their typically developing peers, but specific findings have yet to be replicated. To facilitate this…

统计方法学 · 统计学 2025-03-03 Hyoshin Kim , Sujit K. Ghosh , Emily C. Hector

In this paper we review the preprocessing pipeline through which fMRI data is transformed into a network. We discuss three parameters that mostly affect our understanding of the existence of functional correlations between the brain…

神经元与认知 · 定量生物学 2022-02-07 Amin Kaveh , Matteo Magnani , Christian Rohner

Signal propagation along the structural connectome of the brain induces changes in the patterns of activity. These activity patterns define global brain states and contain information in accordance with their expected probability of…

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

Anomalous heat transport observed in low dimensional classical systems is associated to super-diffusive spreading of space-time correlation of the conserved fields in the system. This leads to non-local linear response relation between the…

统计力学 · 物理学 2023-09-29 Anupam Kundu

Autism spectrum disorder(ASD) is a lifelong neurodevelopmental condition that affects social communication and behavior. Investigating functional magnetic resonance imaging (fMRI)-based brain functional connectome can aid in the…

神经元与认知 · 定量生物学 2023-07-21 Anushree Bannadabhavi , Soojin Lee , Wenlong Deng , Xiaoxiao Li

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

In the last two decades, functional magnetic resonance imaging (fMRI) has emerged as one of the most effective technologies in clinical research of the human brain. fMRI allows researchers to study healthy and pathological brains while they…

神经元与认知 · 定量生物学 2022-12-06 Sadi Md. Redwan , Md Palash Uddin , Muhammad Imran Sharif , Anwaar Ulhaq

The characterisation of the brain as a "connectome", in which the connections are represented by correlational values across timeseries and as summary measures derived from graph theory analyses, has been very popular in the last years.…

机器学习 · 计算机科学 2020-03-13 Tiago Azevedo , Luca Passamonti , Pietro Liò , Nicola Toschi

Using the Zwanzig projection-operator formalism, we derive a causal two-point spatiotemporal kernel for heat conduction, defined microscopically as a space-resolved equilibrium heat-flux time-correlation function, that encodes temporal…

材料科学 · 物理学 2026-04-15 Yi Zeng , Jianjun Dong

In order to understand the complex cognitive functions of the human brain, it is essential to study the structural connectome, i.e., the wiring of different brain regions to each other through axonal pathways. However, the high degree of…

神经元与认知 · 定量生物学 2021-01-25 Anand Pathak , Shakti N. Menon , Sitabhra Sinha

When the human brain manifests the birth of organised communication among local and large-scale neuronal populations activity remains undescribed. We report, in resting-state EEG source-estimates of 100 infants at term age, the existence of…

神经元与认知 · 定量生物学 2020-09-08 Steve Mehrkanoon

Communication processes within the human brain at different cognitive states are neither well understood nor completely characterized. We assess communication processes in the human connectome using ant colony-inspired cooperative learning…

神经元与认知 · 定量生物学 2018-02-20 Uttara Tipnis , Enrico Amico , Mario Ventresca , Joaquin Goni

Cognition is supported by neurophysiological processes that occur both in local anatomical neighborhoods and in distributed large-scale circuits. Recent evidence from network control theory suggests that white matter pathways linking…

神经元与认知 · 定量生物学 2016-06-30 John D. Medaglia , Shi Gu , Fabio Pasqualetti , Rebecca L. Ashare , Caryn Lerman , Joseph Kable , Danielle S. Bassett