Towards a universal taxonomy of macro-scale functional human brain networks

LQ Uddin, BT Yeo, RN Spreng - Brain topography, 2019 - Springer
The past decade has witnessed a proliferation of studies aimed at characterizing the human
connectome. These projects map the brain regions comprising large-scale systems …

Functional neuroimaging in psychiatry and the case for failing better

MM Nour, Y Liu, RJ Dolan - Neuron, 2022 - cell.com
Psychiatric disorders encompass complex aberrations of cognition and affect and are
among the most debilitating and poorly understood of any medical condition. Current …

Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI

A Schaefer, R Kong, EM Gordon, TO Laumann… - Cerebral …, 2018 - academic.oup.com
A central goal in systems neuroscience is the parcellation of the cerebral cortex into discrete
neurobiological “atoms”. Resting-state functional magnetic resonance imaging (rs-fMRI) …

Brain network dynamics are hierarchically organized in time

D Vidaurre, SM Smith… - Proceedings of the …, 2017 - National Acad Sciences
The brain recruits neuronal populations in a temporally coordinated manner in task and at
rest. However, the extent to which large-scale networks exhibit their own organized temporal …

Parallel interdigitated distributed networks within the individual estimated by intrinsic functional connectivity

RM Braga, RL Buckner - Neuron, 2017 - cell.com
Certain organizational features of brain networks present in the individual are lost when
central tendencies are examined in the group. Here we investigated the detailed network …

[HTML][HTML] Hand classification of fMRI ICA noise components

L Griffanti, G Douaud, J Bijsterbosch, S Evangelisti… - Neuroimage, 2017 - Elsevier
We present a practical “how-to” guide to help determine whether single-subject fMRI
independent components (ICs) characterise structured noise or not. Manual identification of …

ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging

L Griffanti, G Salimi-Khorshidi, CF Beckmann… - Neuroimage, 2014 - Elsevier
The identification of resting state networks (RSNs) and the quantification of their functional
connectivity in resting-state fMRI (rfMRI) are seriously hindered by the presence of artefacts …

[HTML][HTML] Optimising network modelling methods for fMRI

U Pervaiz, D Vidaurre, MW Woolrich, SM Smith - NeuroImage, 2020 - Elsevier
A major goal of neuroimaging studies is to develop predictive models to analyze the
relationship between whole brain functional connectivity patterns and behavioural traits …

Resting-state fMRI in the human connectome project

SM Smith, CF Beckmann, J Andersson, EJ Auerbach… - Neuroimage, 2013 - Elsevier
Resting-state functional magnetic resonance imaging (rfMRI) allows one to study functional
connectivity in the brain by acquiring fMRI data while subjects lie inactive in the MRI …

Altered cerebellar connectivity in autism and cerebellar-mediated rescue of autism-related behaviors in mice

CJ Stoodley, AM D'Mello, J Ellegood… - Nature …, 2017 - nature.com
Cerebellar abnormalities, particularly in Right Crus I (RCrusI), are consistently reported in
autism spectrum disorders (ASD). Although RCrusI is functionally connected with ASD …