Results 31 to 40 of about 59,362 (311)

Covariance and Correlation Analysis of Resting State Functional Magnetic Resonance Imaging Data Acquired in a Clinical Trial of Mindfulness-Based Stress Reduction and Exercise in Older Individuals

Frontiers in Neuroscience, 2022
We describe and apply novel methodology for whole-brain analysis of resting state fMRI functional connectivity data, combining conventional multi-channel Pearson correlation with covariance analysis.
Abraham Z. Snyder, Abraham Z. Snyder, Tomoyuki Nishino, Joshua S. Shimony, Eric J. Lenze, Julie Loebach Wetherell, Julie Loebach Wetherell, Michelle Voegtle, J. Philip Miller, Michael D. Yingling, Daniel Marcus, Jenny Gurney, Jerrel Rutlin, Drew Scott, Lisa Eyler, Deanna Barch, Deanna Barch, Deanna Barch   +17 more
doaj   +1 more source

Construct validation of a DCM for resting state fMRI

NeuroImage, 2015
Recently, there has been a lot of interest in characterising the connectivity of resting state brain networks. Most of the literature uses functional connectivity to examine these intrinsic brain networks. Functional connectivity has well documented limitations because of its inherent inability to identify causal interactions. Dynamic causal modelling (
Geraint Rees, Karl J. Friston, Joshua Kahan, Adeel Razi, Adeel Razi   +4 more
openaire   +4 more sources

Pre- and post-therapy functional MRI connectivity in severe acute brain injury with suppression of consciousness: a comparative analysis to epilepsy features

Frontiers in Neuroimaging
Severe acute brain injury (SABI) with suppressed consciousness is a major societal burden, with early prognosis being crucial for life-and-death treatment decisions.
Emilio G. Cediel, Erika A. Duran, Jeffrey Laux, William Reuther, Olivia Leggio, Belfin Robinson, Varina L. Boerwinkle   +6 more
doaj   +1 more source

The VWFA: It’s Not Just for Words Anymore

Frontiers in Human Neuroscience, 2014
Reading is an important but phylogenetically new skill. While neuroimaging studies have identified brain regions used in reading, it is unclear to what extent these regions become specialized for use predominantly in reading versus other tasks.
Alecia C Vogel, Steven E Petersen, Steven E Petersen, Steven E Petersen, Steven E Petersen, Bradley L Schlaggar, Bradley L Schlaggar, Bradley L Schlaggar, Bradley L Schlaggar   +8 more
doaj   +1 more source

Regression dynamic causal modeling for resting‐state fMRI [PDF]

Human Brain Mapping, 2020
Abstract“Resting‐state” functional magnetic resonance imaging (rs‐fMRI) is widely used to study brain connectivity. So far, researchers have been restricted to measures of functional connectivity that are computationally efficient but undirected, or to effective connectivity estimates that are directed but limited to small networks.
Samuel J. Harrison, Stefan Frässle, John A. Sweeney, Elliot S. Gershon, Matcheri S. Keshavan, Jakob Heinzle, Brett A. Clementz, Klaas E. Stephan, Klaas E. Stephan, Carol A. Tamminga, Godfrey D. Pearlson, Godfrey D. Pearlson, Albert R. Powers   +12 more
openaire   +5 more sources

Spatio-temporal correlation tensors reveal functional structure in human brain. [PDF]

PLoS ONE, 2013
Resting state functional magnetic resonance imaging (fMRI) has been commonly used to measure functional connectivity between cortical regions, while diffusion tensor imaging (DTI) can be used to characterize structural connectivity of white matter tracts.
Zhaohua Ding, Allen T Newton, Ran Xu, Adam W Anderson, Victoria L Morgan, John C Gore   +5 more
doaj   +1 more source

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

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

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

Network analysis of EEG related functional MRI changes due to medication withdrawal in focal epilepsy

NeuroImage: Clinical, 2015
Anti-epileptic drugs (AEDs) have a global effect on the neurophysiology of the brain which is most likely reflected in functional brain activity recorded with EEG and fMRI.
Kees Hermans, Pauly Ossenblok, Petra van Houdt, Liesbeth Geerts, Rudolf Verdaasdonk, Paul Boon, Albert Colon, Jan C. de Munck   +7 more
doaj   +1 more source