Resting-state fMRI: a review of methods and clinical applications

MH Lee, CD Smyser… - American Journal of …, 2013 - Am Soc Neuroradiology
Resting-state fMRI measures spontaneous low-frequency fluctuations in the BOLD signal to
investigate the functional architecture of the brain. Application of this technique has allowed …

Disease and the brain's dark energy

D Zhang, ME Raichle - Nature Reviews Neurology, 2010 - nature.com
Brain function has traditionally been studied in terms of physiological responses to
environmental demands. This approach, however, ignores the fact that much of the brain's …

Clinical applications of resting state functional connectivity

MD Fox, M Greicius - Frontiers in systems neuroscience, 2010 - frontiersin.org
During resting conditions the brain remains functionally and metabolically active. One
manifestation of this activity that has become an important research tool is spontaneous …

Clinical applications of the functional connectome

FX Castellanos, A Di Martino, RC Craddock, AD Mehta… - Neuroimage, 2013 - Elsevier
Central to the development of clinical applications of functional connectomics for neurology
and psychiatry is the discovery and validation of biomarkers. Resting state fMRI (R-fMRI) is …

Modern brain tumor imaging

MC Mabray, RF Barajas, S Cha - Brain tumor research and …, 2015 - synapse.koreamed.org
The imaging and clinical management of patients with brain tumor continue to evolve over
time and now heavily rely on physiologic imaging in addition to high-resolution structural …

Dominant frequencies of resting human brain activity as measured by the electrocorticogram

DM Groppe, S Bickel, CJ Keller, SK Jain, ST Hwang… - Neuroimage, 2013 - Elsevier
The brain's spontaneous, intrinsic activity is increasingly being shown to reveal brain
function, delineate large scale brain networks, and diagnose brain disorders. One of the …

Functional connectivity MRI in infants: exploration of the functional organization of the developing brain

CD Smyser, AZ Snyder, JJ Neil - Neuroimage, 2011 - Elsevier
Advanced neuroimaging techniques have been increasingly applied to the study of preterm
and term infants in an effort to further define the functional cerebral architecture of the …

The use of machine learning and deep learning algorithms in functional magnetic resonance imaging—A systematic review

M Rashid, H Singh, V Goyal - Expert Systems, 2020 - Wiley Online Library
Abstract Functional Magnetic Resonance Imaging (fMRI) is presently one of the most
popular techniques for analysing the dynamic states in brain images using various kinds of …

Recovery of functional connectivity of the sensorimotor network after surgery for diffuse low-grade gliomas involving the supplementary motor area

M Vassal, C Charroud, J Deverdun, E Le Bars… - Journal of …, 2017 - thejns.org
OBJECTIVE The supplementary motor area (SMA) syndrome is a well-studied lesional
model of brain plasticity involving the sensorimotor network. Patients with diffuse low-grade …

[HTML][HTML] Clinical applications of magnetic resonance imaging based functional and structural connectivity

C Wu, F Ferreira, M Fox, N Harel, J Hattangadi-Gluth… - Neuroimage, 2021 - Elsevier
Advances in computational neuroimaging techniques have expanded the armamentarium of
imaging tools available for clinical applications in clinical neuroscience. Non-invasive, in …