Results 31 to 40 of about 117,229 (152)

The Role of Cerebrovascular-Reactivity Mapping in Functional MRI: Calibrated fMRI and Resting-State fMRI

Frontiers in Physiology, 2021
Task and resting-state functional MRI (fMRI) is primarily based on the same blood-oxygenation level-dependent (BOLD) phenomenon that MRI-based cerebrovascular reactivity (CVR) mapping has most commonly relied upon.
J. Jean Chen, J. Jean Chen, Claudine J. Gauthier, Claudine J. Gauthier   +3 more
doaj   +1 more source

Monkey in the middle: why non-human primates are needed to bridge the gap in resting-state investigations [PDF]

, 2012
Resting-state investigations based on the evaluation of intrinsic low-frequency fluctuations of the BOLD fMRI signal have been extensively utilized to map the structure and dynamics of large-scale functional network organization in humans. In addition to
R. Matthew Hutchison, Stefan Everling
core   +1 more source

Multimodal contrastive learning on rs-fMRI to quantify whole-brain network recovery after hypothalamic hamartoma surgery

BioMedical Engineering OnLine
Introduction Epilepsy due to hypothalamic hamartoma (HH) is associated with epileptic encephalopathy and often requires surgical intervention, as medications are ineffective at reducing the seizures. However, the first step of disentangling the impact of
Andrew Jeyabose, Belfin Robinson, Olivia Leggio, Meitra H. Kazemi, Varina L. Boerwinkle   +4 more
doaj   +1 more source

Potential pitfalls when denoising resting state fMRI data using nuisance regression [PDF]

, 2016
In resting state fMRI, it is necessary to remove signal variance associated with noise sources, leaving cleaned fMRI time-series that more accurately reflect the underlying intrinsic brain fluctuations of interest.
Bright, Molly G., Murphy, Kevin, Tench, Christopher R.   +2 more
core   +2 more sources

Time varying analysis of dynamic resting-state functional brain network to unfold memory function

Neuroscience Informatics
Recent advances in brain network analysis are largely based on graph theory methods to assess brain network organization, function, and malfunction. Although, functional magnetic resonance imaging (fMRI) has been frequently used to study brain activity ...
Tahmineh Azizi
doaj   +1 more source

Vigilance Effects in Resting-State fMRI

Frontiers in Neuroscience, 2020
Measures of resting-state functional magnetic resonance imaging (rsfMRI) activity have been shown to be sensitive to cognitive function and disease state.
Thomas T. Liu, Thomas T. Liu, Maryam Falahpour   +2 more
doaj   +1 more source

Acupuncture modulates resting state hippocampal functional connectivity in Alzheimer disease. [PDF]

PLoS ONE, 2014
Our objective is to clarify the effects of acupuncture on hippocampal connectivity in patients with Alzheimer disease (AD) using functional magnetic resonance imaging (fMRI).
Zhiqun Wang, Peipeng Liang, Zhilian Zhao, Ying Han, Haiqing Song, Jianyang Xu, Jie Lu, Kuncheng Li   +7 more
doaj   +1 more source

Fluctuations between high- and low-modularity topology in time-resolved functional connectivity [PDF]

, 2017
Modularity is an important topological attribute for functional brain networks. Recent studies have reported that modularity of functional networks varies not only across individuals being related to demographics and cognitive performance, but also ...
Betzel, Richard F., de Reus, Marcel A., Fukushima, Makoto, He, Ye, Heuvel, Martijn P. van den, Sporns, Olaf, Zuo, Xi-Nian   +6 more
core   +2 more sources

Precision connectivity in osteoarthritis pain with permutation and network analysis: a key step toward clinical application

BMC Medical Imaging
Objective This study seeks to identify brain regions with atypical neural connectivity in individuals suffering from arthritis-related chronic pain, compared to healthy controls, using resting-state functional magnetic resonance imaging (rs-fMRI ...
Belfin Robinson, Emilio G. Cediel, William Reuther, Aryan Kodali, Ellora Srabani, Olivia Leggio, Vibhor Krishna, Varina L. Boerwinkle   +7 more
doaj   +1 more source

Decoding Task-Related Functional Brain Imaging Data to Identify Developmental Disorders: The Case of Congenital Amusia

Frontiers in Neuroscience, 2019
Machine learning classification techniques are frequently applied to structural and resting-state fMRI data to identify brain-based biomarkers for developmental disorders. However, task-related fMRI has rarely been used as a diagnostic tool.
Philippe Albouy, Philippe Albouy, Anne Caclin, Anne Caclin, Sam V. Norman-Haignere, Sam V. Norman-Haignere, Yohana Lévêque, Yohana Lévêque, Isabelle Peretz, Barbara Tillmann, Barbara Tillmann, Robert J. Zatorre, Robert J. Zatorre   +12 more
doaj   +1 more source