Closed-loop brain training: the science of neurofeedback

R Sitaram, T Ros, L Stoeckel, S Haller… - Nature Reviews …, 2017 - nature.com
Neurofeedback is a psychophysiological procedure in which online feedback of neural
activation is provided to the participant for the purpose of self-regulation. Learning control …

Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks

KA Smitha, K Akhil Raja, KM Arun… - The …, 2017 - journals.sagepub.com
The inquisitiveness about what happens in the brain has been there since the beginning of
humankind. Functional magnetic resonance imaging is a prominent tool which helps in the …

fMRIPrep: a robust preprocessing pipeline for functional MRI

O Esteban, CJ Markiewicz, RW Blair, CA Moodie… - Nature …, 2019 - nature.com
Preprocessing of functional magnetic resonance imaging (fMRI) involves numerous steps to
clean and standardize the data before statistical analysis. Generally, researchers create ad …

Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks

ML Dixon, A De La Vega, C Mills… - Proceedings of the …, 2018 - National Acad Sciences
The frontoparietal control network (FPCN) plays a central role in executive control. It has
been predominantly viewed as a unitary domain general system. Here, we examined …

[HTML][HTML] Brain default-mode network dysfunction in addiction

R Zhang, ND Volkow - Neuroimage, 2019 - Elsevier
Aberrant patterns of brain functional connectivity in the default mode network (DMN) have
been observed across different classes of substance use disorder (SUD) and are associated …

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

A Abraham, MP Milham, A Di Martino, RC Craddock… - NeuroImage, 2017 - Elsevier
Abstract Resting-state functional Magnetic Resonance Imaging (R-fMRI) holds the promise
to reveal functional biomarkers of neuropsychiatric disorders. However, extracting such …

The default network and self‐generated thought: Component processes, dynamic control, and clinical relevance

JR Andrews‐Hanna, J Smallwood… - Annals of the new York …, 2014 - Wiley Online Library
Though only a decade has elapsed since the default network (DN) was first defined as a
large‐scale brain system, recent years have brought great insight into the network's adaptive …

Intrinsic and task-evoked network architectures of the human brain

MW Cole, DS Bassett, JD Power, TS Braver… - Neuron, 2014 - cell.com
Many functional network properties of the human brain have been identified during rest and
task states, yet it remains unclear how the two relate. We identified a whole-brain network …

Common dysfunction of large-scale neurocognitive networks across psychiatric disorders

Z Sha, TD Wager, A Mechelli, Y He - Biological psychiatry, 2019 - Elsevier
Background Cognitive dysfunction is one of the most prominent characteristics of psychiatric
disorders. Currently, the neural correlates of cognitive dysfunction across psychiatric …

[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 …