Results 31 to 40 of about 271,169 (372)

Propagated infra-slow intrinsic brain activity reorganizes across wake and slow wave sleep [PDF]

, 2015
Propagation of slow intrinsic brain activity has been widely observed in electrophysiogical studies of slow wave sleep (SWS). However, in human resting state fMRI (rs-fMRI), intrinsic activity has been understood predominantly in terms of zero-lag ...
Abel, Achermann, Alkire, Allen, Beckmann, Biswal, Blethyn, Boly, Born, Boyle, Braun, Brown, Caminiti, Cirelli, Cirelli, Dang-Vu, Doyon, Euston, Everson, Ferezou, Florin, Fox, Franks, Franks, Gais, Graybiel, Hacker, Hacker, Hahn, Hahn, Halsband, Hayasaka, He, He, Hiltunen, Hirsch, Hobson, Horikawa, Horovitz, Horovitz, Hughes, Knowlton, König, Larson-Prior, Laureys, Lim, Loomis, Loomis, Maquet, Marshall, Mascetti, Mashour, Mashour, Massimini, Maxim, McClelland, McCormick, McCormick, McNaughton, Minka, Mitra, Mitra, Mohajerani, Mohajerani, Murphy, Nikolić, Nir, Nir, Pan, Petersen, Picchioni, Power, Rechtschaffen, Rechtschaffen, Riedner, Schneider, Seth, Sheroziya, Sirota, Soeffing, Soeffing, Steriade, Steriade, Stickgold, Stickgold, Sämann, Tagliazucchi, Tagliazucchi, Takashima, Tononi, Yuste   +90 more
core   +4 more sources

Resting-state fMRI confounds and cleanup [PDF]

NeuroImage, 2013
The goal of resting-state functional magnetic resonance imaging (fMRI) is to investigate the brain's functional connections by using the temporal similarity between blood oxygenation level dependent (BOLD) signals in different regions of the brain "at rest" as an indicator of synchronous neural activity.
Kevin, Murphy, Rasmus M, Birn, Peter A, Bandettini   +2 more
openaire   +2 more sources

Large-scale DCMs for resting-state fMRI [PDF]

Network Neuroscience, 2017
This paper considers the identification of large directed graphs for resting-state brain networks based on biophysical models of distributed neuronal activity, that is, effective connectivity. This identification can be contrasted with functional connectivity methods based on symmetric correlations that are ubiquitous in resting-state functional MRI ...
Adeel Razi, Mohamed L. Seghier, Yuan Zhou, Peter McColgan, Peter Zeidman, Hae‐Jeong Park, Olaf Sporns, Geraint Rees, Karl J. Friston   +8 more
openaire   +5 more sources

Arousal Contributions to Resting-State fMRI Connectivity and Dynamics

Frontiers in Neuroscience, 2019
Resting-state functional magnetic resonance imaging (rsfMRI) is being widely used for charting brain connectivity and dynamics in healthy and diseased brains. However, the resting state paradigm allows an unconstrained fluctuation of brain arousal, which
Yameng Gu, Feng Han, Xiao Liu, Xiao Liu
doaj   +1 more source

Compressed Online Dictionary Learning for Fast fMRI Decomposition [PDF]

, 2016
We present a method for fast resting-state fMRI spatial decomposi-tions of very large datasets, based on the reduction of the temporal dimension before applying dictionary learning on concatenated individual records from groups of subjects. Introducing a
Mensch, Arthur, Thirion, Bertrand, Varoquaux, Gaël   +2 more
core   +5 more sources

Resting State fMRI-Guided Fiber Clustering [PDF]

, 2011
Fiber clustering is a prerequisite step towards tract-based analysis of white mater integrity via diffusion tensor imaging (DTI) in various clinical neuroscience applications. Many methods reported in the literature used geometric or anatomic information for fiber clustering.
Bao, Ge, Lei, Guo, Jinglei, Lv, Xintao, Hu, Junwei, Han, Tuo, Zhang, Tianming, Liu   +6 more
openaire   +2 more sources

3T vs. 7T fMRI: capturing early human memory consolidation after motor task utilizing the observed higher functional specificity of 7T

Frontiers in Neuroscience, 2023
ObjectiveFunctional magnetic resonance imaging (fMRI) visualizes brain structures at increasingly higher resolution and better signal-to-noise ratio (SNR) as field strength increases.
Silke Kreitz, Angelika Mennecke, Laura Konerth, Julie Rösch, Armin M. Nagel, Frederik B. Laun, Michael Uder, Arnd Dörfler, Andreas Hess, Andreas Hess   +9 more
doaj   +1 more source

Diagnostic power of resting‐state fMRI for detection of network connectivity in Alzheimer's disease and mild cognitive impairment: A systematic review

medRxiv, 2020
Resting‐state fMRI (rs‐fMRI) detects functional connectivity (FC) abnormalities that occur in the brains of patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI).
B. Ibrahim, S. Suppiah, N. Ibrahim, M. Mohamad, H. Hassan, N. S. Nasser, M. Saripan   +6 more
semanticscholar   +1 more source

Neural underpinning of a respiration-associated resting-state fMRI network

eLife, 2022
Respiration can induce motion and CO2 fluctuation during resting-state fMRI (rsfMRI) scans, which will lead to non-neural artifacts in the rsfMRI signal.
Wenyu Tu, Nanyin Zhang
semanticscholar   +1 more source

Lag structure in resting-state fMRI

Journal of Neurophysiology, 2014
The discovery that spontaneous fluctuations in blood oxygen level-dependent (BOLD) signals contain information about the functional organization of the brain has caused a paradigm shift in neuroimaging. It is now well established that intrinsic brain activity is organized into spatially segregated resting-state networks (RSNs). Less is known regarding
A, Mitra, A Z, Snyder, C D, Hacker, M E, Raichle   +3 more
openaire   +3 more sources