Closed-loop brain training: the science of neurofeedback
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 …
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 …
humankind. Functional magnetic resonance imaging is a prominent tool which helps in the …
fMRIPrep: a robust preprocessing pipeline for functional MRI
Preprocessing of functional magnetic resonance imaging (fMRI) involves numerous steps to
clean and standardize the data before statistical analysis. Generally, researchers create ad …
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
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 …
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 …
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
Abstract Resting-state functional Magnetic Resonance Imaging (R-fMRI) holds the promise
to reveal functional biomarkers of neuropsychiatric disorders. However, extracting such …
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 …
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
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 …
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
Background Cognitive dysfunction is one of the most prominent characteristics of psychiatric
disorders. Currently, the neural correlates of cognitive dysfunction across psychiatric …
disorders. Currently, the neural correlates of cognitive dysfunction across psychiatric …
[HTML][HTML] Optimising network modelling methods for fMRI
A major goal of neuroimaging studies is to develop predictive models to analyze the
relationship between whole brain functional connectivity patterns and behavioural traits …
relationship between whole brain functional connectivity patterns and behavioural traits …