Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review

FV Farahani, W Karwowski, NR Lighthall - frontiers in Neuroscience, 2019 - frontiersin.org
Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …

The rise and fall of MRI studies in major depressive disorder

C Zhuo, G Li, X Lin, D Jiang, Y Xu, H Tian… - Translational …, 2019 - nature.com
Structural and functional brain alterations are common in patients with major depressive
disorder (MDD). In this review, we assessed the recent literature (1995–2018) on the …

A mutual multi-scale triplet graph convolutional network for classification of brain disorders using functional or structural connectivity

D Yao, J Sui, M Wang, E Yang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Brain connectivity alterations associated with mental disorders have been widely reported in
both functional MRI (fMRI) and diffusion MRI (dMRI). However, extracting useful information …

Meta-analysis of cortical thickness abnormalities in medication-free patients with major depressive disorder

Q Li, Y Zhao, Z Chen, J Long, J Dai, X Huang… - …, 2020 - nature.com
Alterations in cortical thickness have been identified in major depressive disorder (MDD),
but findings have been variable and inconsistent. To date, no reliable tools have been …

[HTML][HTML] Tapping into multi-faceted human behavior and psychopathology using fMRI brain dynamics

TAW Bolton, E Morgenroth, MG Preti… - Trends in …, 2020 - cell.com
Human behavior comprises many aspects that stand out by their dynamic nature. To quantify
its neural underpinnings, time-resolved fMRI methods have blossomed over the past …

Current methods and new directions in resting state fMRI

J Yang, S Gohel, B Vachha - Clinical imaging, 2020 - Elsevier
Resting state functional connectivity magnetic resonance imaging (rsfcMRI) has become a
key component of investigations of neurocognitive and psychiatric behaviors. Over the past …

[HTML][HTML] Altered resting-state dynamic functional brain networks in major depressive disorder: Findings from the REST-meta-MDD consortium

Y Long, H Cao, C Yan, X Chen, L Li, FX Castellanos… - NeuroImage: Clinical, 2020 - Elsevier
Background Major depressive disorder (MDD) is known to be characterized by altered brain
functional connectivity (FC) patterns. However, whether and how the features of dynamic FC …

[HTML][HTML] Dynamic functional connectivity in schizophrenia and autism spectrum disorder: Convergence, divergence and classification

L Rabany, S Brocke, VD Calhoun, B Pittman… - NeuroImage: Clinical, 2019 - Elsevier
Background Over the recent years there has been a growing debate regarding the extent
and nature of the overlap in neuropathology between schizophrenia (SZ) and autism …

Identifying and validating subtypes within major psychiatric disorders based on frontal–posterior functional imbalance via deep learning

M Chang, FY Womer, X Gong, X Chen, L Tang… - Molecular …, 2021 - nature.com
Converging evidence increasingly implicates shared etiologic and pathophysiological
characteristics among major psychiatric disorders (MPDs), such as schizophrenia (SZ) …

Tools of the trade: estimating time-varying connectivity patterns from fMRI data

A Iraji, A Faghiri, N Lewis, Z Fu… - Social cognitive and …, 2021 - academic.oup.com
Given the dynamic nature of the brain, there has always been a motivation to move beyond
'static'functional connectivity, which characterizes functional interactions over an extended …