Results 51 to 60 of about 270,788 (377)

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

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

Visual learning induces changes in resting-state fMRI multivariate pattern of information [PDF]

, 2015
When measured with functional magnetic resonance imaging (fMRI) in the resting state (R-fMRI), spontaneous activity is correlated between brain regions that are anatomically and functionally related. Learning and/or task performance can induce modulation
Baldassarre, Antonello, Corbetta, Maurizio, Gratta, Cosimo Del, Guidotti, Roberto, Romani, Gian Luca   +4 more
core   +2 more sources

Machine Learning for Neuroimaging with Scikit-Learn [PDF]

, 2013
Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g. multivariate analysis of activation images or resting-state time series.
Abraham, Alexandre, Eickenberg, Michael, Gervais, Philippe, Gramfort, Alexandre, Kossaifi, Jean, Muller, Andreas, Pedregosa, Fabian, Thirion, Bertrand, Varoquaux, Gäel   +8 more
core   +4 more sources

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

Sampling Rate Effects on Resting State fMRI Metrics [PDF]

Frontiers in Neuroscience, 2019
Low image sampling rates used in resting state functional magnetic resonance imaging (rs-fMRI) may cause aliasing of the cardiorespiratory pulsations over the very low frequency (VLF) BOLD signal fluctuations which reflects to functional connectivity (FC). In this study, we examine the effect of sampling rate on currently used rs-fMRI FC metrics. Ultra-
Niko Huotari, Niko Huotari, Lauri Raitamaa, Lauri Raitamaa, Heta Helakari, Heta Helakari, Janne Kananen, Janne Kananen, Ville Raatikainen, Ville Raatikainen, Aleksi Rasila, Aleksi Rasila, Timo Tuovinen, Timo Tuovinen, Jussi Kantola, Jussi Kantola, Viola Borchardt, Viola Borchardt, Vesa J. Kiviniemi, Vesa J. Kiviniemi, Vesa O. Korhonen, Vesa O. Korhonen   +21 more
openaire   +4 more sources

The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen, Ali Behram Salar, Abdulkadir Ermis, Erkingul Birday, Lutfu Hanoglu, Bayram Ufuk Sakul   +5 more
wiley   +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

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