Results 31 to 40 of about 111,880 (318)

A Resting-State fMRI Study [PDF]

, 2017
Mirror visual feedback (MVF) is a promising approach to enhance motor performance without training in healthy adults as well as in patients with focal brain lesions.
Hoff, Maike, Kaminski, Elisabeth, Lepsien, Joeran, Ragert, Patrick, Rjosk, Viola, Sehm, Bernhard, Steele, Christopher J., Villringer, Arno   +7 more
core   +1 more source

Phenotyping Superagers Using Resting-State fMRI

American Journal of Neuroradiology, 2023
Superagers are defined as older adults with episodic memory performance similar or superior to that in middle-aged adults. This study aimed to investigate the key differences in discriminative networks and their main nodes between superagers and cognitively average elderly controls.
de Godoy, L.L., Studart-Neto, A., de Paula, D.R., Green, N., Halder, A., Arantes, P., Chaim, K.T., Moraes, N.C., Yassuda, M.S., Nitrini, R., Dresler, M., Dresler, M., da Costa Leite, C., Panovska-Griffiths, J., Soddu, A., Bisdas, S.   +15 more
openaire   +4 more sources

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

Representation Learning of Resting State fMRI with Variational Autoencoder [PDF]

NeuroImage, 2020
AbstractResting state functional magnetic resonance imaging (rsfMRI) data exhibits complex but structured patterns. However, the underlying origins are unclear and entangled in rsfMRI data. Here we establish a variational auto-encoder, as a generative model trainable with unsupervised learning, to disentangle the unknown sources of rsfMRI activity ...
Jung-Hoon Kim, Yizhen Zhang, Kuan Han, Zheyu Wen, Minkyu Choi, Zhongming Liu   +5 more
openaire   +4 more sources

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
Anish Mitra, Marcus E. Raichle, Abraham Z. Snyder, Carl D. Hacker   +3 more
openaire   +4 more sources

Neural representations of self-generated thought during think-aloud fMRI

NeuroImage, 2023
Is the brain at rest during the so-called resting state? Ongoing experiences in the resting state vary in unobserved and uncontrolled ways across time, individuals, and populations.
Hui-Xian Li, Bin Lu, Yu-Wei Wang, Xue-Ying Li, Xiao Chen, Chao-Gan Yan   +5 more
doaj  

Early changes in alpha band power and DMN BOLD activity in Alzheimer's disease: a simultaneous resting state EEG-fMRI study [PDF]

, 2017
Simultaneous resting state functional magnetic resonance imaging (rsfMRI)-resting state electroencephalography (rsEEG) studies in healthy adults showed robust positive associations of signal power in the alpha band with BOLD signal in the thalamus, and ...
Babiloni, Claudio, Berger, Christoph, Brueggen, Katharina, Fiala, Carmen, Ochmann, Sina, Teipel, Stefan J.   +5 more
core   +1 more source

Hemodynamic and electrophysiological evidence of resting-state network activity in the primate [PDF]

, 2008
An expanding body of literature describes the existence of concerted brain activations in the absence of any external stimuli. Resting-state networks have been identified and demonstrated to be modulated during the performance of specific cognitive ...
Allen Ardestani, Arthur Toga, Felix Darvas, Joaquin Fuster, Wei Shen   +4 more
core   +2 more sources

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