The human connectome in Alzheimer disease—relationship to biomarkers and genetics

M Yu, O Sporns, AJ Saykin - Nature Reviews Neurology, 2021 - nature.com
The pathology of Alzheimer disease (AD) damages structural and functional brain networks,
resulting in cognitive impairment. The results of recent connectomics studies have now …

Small-world brain networks revisited

DS Bassett, ET Bullmore - The Neuroscientist, 2017 - journals.sagepub.com
It is nearly 20 years since the concept of a small-world network was first quantitatively
defined, by a combination of high clustering and short path length; and about 10 years since …

The segregation and integration of distinct brain networks and their relationship to cognition

JR Cohen, M D'Esposito - Journal of Neuroscience, 2016 - Soc Neuroscience
A critical feature of the human brain that gives rise to complex cognition is its ability to
reconfigure its network structure dynamically and adaptively in response to the environment …

GRETNA: a graph theoretical network analysis toolbox for imaging connectomics

J Wang, X Wang, M Xia, X Liao, A Evans… - Frontiers in human …, 2015 - frontiersin.org
Recent studies have suggested that the brain's structural and functional networks (ie,
connectomics) can be constructed by various imaging technologies (eg, EEG/MEG; …

Atypical functional connectome hierarchy in autism

SJ Hong, R Vos de Wael, RAI Bethlehem… - Nature …, 2019 - nature.com
One paradox of autism is the co-occurrence of deficits in sensory and higher-order socio-
cognitive processing. Here, we examined whether these phenotypical patterns may relate to …

Best practices in data analysis and sharing in neuroimaging using MRI

TE Nichols, S Das, SB Eickhoff, AC Evans… - Nature …, 2017 - nature.com
Given concerns about the reproducibility of scientific findings, neuroimaging must define
best practices for data analysis, results reporting, and algorithm and data sharing to promote …

[HTML][HTML] Proportional thresholding in resting-state fMRI functional connectivity networks and consequences for patient-control connectome studies: Issues and …

MP van den Heuvel, SC de Lange, A Zalesky… - Neuroimage, 2017 - Elsevier
Graph theoretical analysis has become an important tool in the examination of brain
dysconnectivity in neurological and psychiatric brain disorders. A common analysis step in …

[图书][B] Fundamentals of brain network analysis

A Fornito, A Zalesky, E Bullmore - 2016 - books.google.com
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to
methods for unraveling the extraordinary complexity of neuronal connectivity. From the …

Modern network science of neurological disorders

CJ Stam - Nature Reviews Neuroscience, 2014 - nature.com
Modern network science has revealed fundamental aspects of normal brain-network
organization, such as small-world and scale-free patterns, hierarchical modularity, hubs and …

NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis

X Hou, Z Zhang, C Zhao, L Duan, Y Gong, Z Li… - …, 2021 - spiedigitallibrary.org
Significance: Functional near-infrared spectroscopy (fNIRS) has been widely used to probe
human brain function during task state and resting state. However, the existing analysis …