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] The connectivity domain: Analyzing resting state fMRI data using feature-based data-driven and model-based methods

A Iraji, VD Calhoun, NM Wiseman, E Davoodi-Bojd…�- Neuroimage, 2016 - Elsevier
Spontaneous fluctuations of resting state functional MRI (rsfMRI) have been widely used to
understand the macro-connectome of the human brain. However, these fluctuations are not�…

Clinical utility of resting-state functional connectivity magnetic resonance imaging for mood and cognitive disorders

T Takamura, T Hanakawa�- Journal of neural transmission, 2017 - Springer
Although functional magnetic resonance imaging (fMRI) has long been used to assess task-
related brain activity in neuropsychiatric disorders, it has not yet become a widely available�…

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�…

[BOOK][B] An introduction to resting state fMRI functional connectivity

J Bijsterbosch, SM Smith, C Beckmann - 2017 - books.google.com
Spontaneous' resting-state'fluctuations in neuronal activity offer insights into the inherent
organisation of the human brain, and may provide markers for diagnosis and treatment of�…

Time-resolved resting-state functional magnetic resonance imaging analysis: current status, challenges, and new directions

S Keilholz, C Caballero-Gaudes, P Bandettini…�- Brain�…, 2017 - liebertpub.com
Time-resolved analysis of resting-state functional magnetic resonance imaging (rs-fMRI)
data allows researchers to extract more information about brain function than traditional�…

Resting state fMRI: a personal history

BB Biswal�- Neuroimage, 2012 - Elsevier
The goal of this review is to describe, from a personal perspective, the development and
emergence of the resting state fMRI. In particular, various concepts derived from the resting�…

Resting developments: a review of fMRI post-processing methodologies for spontaneous brain activity

DS Margulies, J B�ttger, X Long, Y Lv, C Kelly…�- …�Resonance Materials in�…, 2010 - Springer
Analytic tools for addressing spontaneous brain activity, as acquired with fMRI during the
“resting-state,” have grown dramatically over the past decade. Along with each new�…

[HTML][HTML] Graph theoretic analysis of resting state functional MR imaging

JD Medaglia�- Neuroimaging Clinics, 2017 - neuroimaging.theclinics.com
Given its complexity, 1 the brain is perhaps the quintessential example of a network. Neural
elements are interconnected by a large number of connections that can be studied across�…

[HTML][HTML] Brain networks, dimensionality, and global signal averaging in resting-state fMRI: Hierarchical network structure results in low-dimensional spatiotemporal�…

SJ Gotts, AW Gilmore, A Martin�- NeuroImage, 2020 - Elsevier
One of the most controversial practices in resting-state fMRI functional connectivity studies is
whether or not to regress out the global average brain signal (GS) during artifact removal�…