Results 131 to 140 of about 270,525 (249)

Assessment of lumbar paraspinal muscle activation using fMRI BOLD imaging and T2 mapping

, 2019
Yilong Huang, Jia-Long Zhou, Yuanming Jiang, Zhen-Guang Zhang, Wei Zhao, Dan Han, Bo He   +6 more
openalex   +2 more sources

Supplementary Material for: The Hypothesis of Subliminal Cue Reactivity in Addiction Revisited: An fMRI Study

, 2022
Joar Guterstam, Nitya Jayaram‐Lindström, Jonathan Berrebi, Predrag Petrović, Martin Ingvar, Peter Fransson, Johan Franck   +6 more
openalex   +1 more source

Indirect Calorimetry–Monitored Nutritional Therapy: Highlights and Challenges

Journal of Neuroanaesthesiology and Critical Care
Hari Hara Dash, Virendra Jain
doaj   +1 more source

Temporal and spatial characterization of physiological noise in rs-fMRI at a high temporal resolution. [PDF]

Sci Rep
Kuldavletova O, Mauboussin M, Naveau M, Vandevelde A, Delcroix N, Joliot M, Etard O.   +6 more
europepmc   +1 more source

Neural decoding of autobiographical mental image features with a general semantic model. [PDF]

Nat Commun
Anderson AJ, Fernandino L, Gross WL, Rey HG, Binder JR.   +4 more
europepmc   +1 more source

Sources and implications of whole-brain fMRI signals in humans

NeuroImage, 2017
Jonathan D. Power, Mark H. Plitt, Timothy O. Laumann, Alex Martin   +3 more
semanticscholar   +1 more source

Variational variable selection to assess experimental condition relevance in event-related fMRI

, 2013
Christine Bakhous, Florence Forbes, Thomas Vincent, Michel Dojat, Philippe Ciuciu   +4 more
openalex   +2 more sources

Neurofeedback: Applications, advancements, and future directions. [PDF]

PCN Rep
Jubair H, Mehenaz M, Islam MM, Yeasmin N.   +3 more
europepmc   +1 more source

Function in the human connectome: Task-fMRI and individual differences in behavior

NeuroImage, 2013
D. Barch, G. C. Burgess, M. Harms, S. Petersen, B. Schlaggar, M. Corbetta, M. Glasser, Sandra W. Curtiss, S. Dixit, Cindy Feldt, D. Nolan, Edward Bryant, T. Hartley, Owen Footer, J. Bjork, R. Poldrack, Steve M. Smith, H. Johansen-Berg, A. Snyder, D. C. Essen   +19 more
semanticscholar   +1 more source

Global signal regression reduces connectivity patterns related to physiological signals and does not alter EEG-derived connectivity. [PDF]

Front Neuroimaging
Xifra-Porxas A, Kassinopoulos M, Prokopiou P, Boudrias MH, Mitsis GD.   +4 more
europepmc   +1 more source