Results 91 to 100 of about 270,788 (377)

Machine learning in resting-state fMRI analysis

Magnetic Resonance Imaging, 2019
51 pages, 6 ...
Meenakshi Khosla, Keith Jamison, Gia H. Ngo, Amy Kuceyeski, Mert R. Sabuncu   +4 more
openaire   +4 more sources

Resting-State Functional Connectivity in Mathematical Expertise

Brain Sciences, 2021
To what extent are different levels of expertise reflected in the functional connectivity of the brain? We addressed this question by using resting-state functional magnetic resonance imaging (fMRI) in mathematicians versus non-mathematicians.
Miseon Shim, Han-Jeong Hwang, Ulrike Kuhl, Hyeon-Ae Jeon   +3 more
doaj   +1 more source

Intrinsic Frequencies of the Resting-State fMRI Signal: The Frequency Dependence of Functional Connectivity and the Effect of Mode Mixing

Frontiers in Neuroscience, 2019
The frequency characteristics of the resting-state BOLD fMRI (rs-fMRI) signal are of increasing scientific interest, as we discover more frequency-specific biological interpretations. In this work, we use variational mode decomposition (VMD) to precisely
Nicole H. Yuen, N. Osachoff, J. Jean Chen   +2 more
semanticscholar   +1 more source

Nurr1 Orchestrates Claustrum Development and Functionality

Advanced Science, EarlyView.
Nurr1 (Nr4a2) is the master transcription factor to control claustrum morphogenesis and cell fate decision postmitotically by inhibiting intracellular G‐protein signaling. Nurr1 deficiency alters the transcriptomic profiles of subcortical claustral neurons into neocortical insular neurons, resulting in defected claustrum development, impaired axonal ...
Kuo Yan, Andrew G. Newman, Pauline Lange, Susanne Müller, Marco Foddis, Stefan Paul Koch, Philipp Böhm‐Sturm, Maron Mantwill, Carsten Finke, Penghui Deng, Melissa Long, Dietmar Schmitz, Victor Tarabykin   +12 more
wiley   +1 more source

Estimating Time-Varying Effective Connectivity in High-Dimensional fMRI Data Using Regime-Switching Factor Models

, 2017
Recent studies on analyzing dynamic brain connectivity rely on sliding-window analysis or time-varying coefficient models which are unable to capture both smooth and abrupt changes simultaneously. Emerging evidence suggests state-related changes in brain
Ombao, Hernando, Salleh, Sh-Hussain, Samdin, S. Balqis, Ting, Chee-Ming   +3 more
core   +1 more source

Optimization of scan time for resting ⁃state fMRI in clinical application

Chinese Journal of Contemporary Neurology and Neurosurgery, 2011
Objective To study the optimization of scan time for resting⁃state functional magnetic resonance imaging (fMRI) in clinical application. Methods Fractional amplitude of low ⁃ frequency fluctuation (fALFF) was performed to analyse the resting ⁃ state fMRI
Cheng ZHAO, Jie LU, Kuncheng LI, Xiaoyi WANG, Hui WANG, Miao ZHANG   +5 more
doaj  

Correlation between changes in functional connectivity in the dorsal attention network and the after-effects induced by prism adaptation in healthy humans: A dataset of resting-state fMRI and pointing after prism adaptation

Data in Brief, 2019
It has been reported that it is possible to observe transient changes in resting-state functional connectivity (FC) in the attention networks of healthy adults during treatment with prism adaptation. by using functional magnetic resonance imaging (fMRI) (
Kengo Tsujimoto, Katsuhiro Mizuno, Daisuke Nishida, Masatoshi Tahara, Emi Yamada, Shiori Shindo, Yuuki Watanabe, Shoko Kasuga, Meigen Liu   +8 more
doaj   +1 more source

Cortical Function in Acute Severe Traumatic Brain Injury and at Recovery: A Longitudinal fMRI Case Study

Brain Sciences, 2020
Differences in the functional integrity of the brain from acute severe brain injury to subsequent recovery of consciousness have not been well documented.
Karnig Kazazian, Loretta Norton, Teneille E. Gofton, Derek Debicki, Adrian M. Owen   +4 more
doaj   +1 more source

Stationary EEG pattern relates to large-scale resting state networks – An EEG-fMRI study connecting brain networks across time-scales

NeuroImage, 2022
Relating brain dynamics acting on time scales that differ by at least an order of magnitude is a fundamental issue in brain research. The same is true for the observation of stable dynamical structures in otherwise highly non-stationary signals.
J. Daniel Arzate-Mena, Eugenio Abela, Paola V. Olguín-Rodríguez, Wady Ríos-Herrera, Sarael Alcauter, Kaspar Schindler, Roland Wiest, Markus F. Müller, Christian Rummel   +8 more
doaj   +1 more source

A Virtual Clinical Trial of Psychedelics to Treat Patients With Disorders of Consciousness

Advanced Science, EarlyView.
Disorders of consciousness after severe brain injury are marked by reduced complexity of brain activity and limited treatment options. Using personalized whole‐brain models, this study shows that simulated lysergic acid diethylamide (LSD) and psilocybin shift patient brain dynamics closer to criticality.
Naji L.N. Alnagger, Paolo Cardone, Charlotte Martial, Yonatan Sanz Perl, Iván Mindlin, Jacobo D Sitt, Leor Roseman, Robin Carhart‐Harris, David Nutt, Pablo Mallaroni, Natasha Mason, Johannes G Ramaekers, Vincent Bonhomme, Steven Laureys, Gustavo Deco, Olivia Gosseries, Pablo Núñez, Jitka Annen   +17 more
wiley   +1 more source