Results 51 to 60 of about 117,241 (194)

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

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

Resting-state fMRI in the Human Connectome Project [PDF]

NeuroImage, 2013
Resting-state functional magnetic resonance imaging (rfMRI) allows one to study functional connectivity in the brain by acquiring fMRI data while subjects lie inactive in the MRI scanner, and taking advantage of the fact that functionally related brain regions spontaneously co-activate. rfMRI is one of the two primary data modalities being acquired for
Smith SM1, Beckmann CF, Andersson J, Auerbach EJ, Bijsterbosch J, Douaud G, Duff E, Feinberg DA, Griffanti L, Harms MP, Kelly M, Laumann T, Miller KL, Moeller S, Petersen S, Power J, Salimi Khorshidi G, Snyder AZ, Vu AT, Woolrich MW, Xu J, Yacoub E, Uğurbil K, Van Essen DC, Glasser MF, DE PASQUALE, Francesco, WU Minn HCP Consortium   +26 more
openaire   +7 more sources

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

Estimating effective connectivity in linear brain network models

, 2017
Contemporary neuroscience has embraced network science to study the complex and self-organized structure of the human brain; one of the main outstanding issues is that of inferring from measure data, chiefly functional Magnetic Resonance Imaging (fMRI ...
Bertoldo, Alessandra, Chiuso, Alessandro, Prando, Giulia, Zorzi, Mattia   +3 more
core   +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

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

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

Lewy body compared with Alzheimer dementia is associated with decreased functional connectivity in resting state networks.

, 2014
Resting state functional magnetic resonance imaging (fMRI) was used to measure whole brain functional connectivity within specific networks hypothesised to be more affected in dementia with Lewy bodies (DLB) (a disease characterised by prominent ...
Blamire, Andrew M, Firbank, Michael J, Lowther, Eva R, O'Brien, John T   +3 more
core   +2 more sources