Results 91 to 100 of about 271,169 (372)

Taurocholic Acid Is Associated With Disturbed Functional Connectivity in the Hippocampus of Patients With Depression

open access: yesAdvanced Science, EarlyView.
This study identifies elevated taurocholic acid (TCA) in Major Depressive Disorder patients. Gut microbiome‐associated TCA impairs hippocampal neurogenesis, triggers microglia activation, and elicits depression‐like behavior in mice via the S1PR2. In patients, functional neuroimaging reveals that serum TCA levels correlate with altered functional ...
Xiaoying Cai   +12 more
wiley   +1 more source

Resting-State Functional Connectivity in Mathematical Expertise

open access: yesBrain 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   +3 more
doaj   +1 more source

Dynamic effective connectivity in resting state fMRI

open access: yesNeuroImage, 2018
Context-sensitive and activity-dependent fluctuations in connectivity underlie functional integration in the brain and have been studied widely in terms of synaptic plasticity, learning and condition-specific (e.g., attentional) modulations of synaptic efficacy.
Park, H-J   +4 more
openaire   +4 more sources

Nurr1 Orchestrates Claustrum Development and Functionality

open access: yesAdvanced 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   +12 more
wiley   +1 more source

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

open access: yesChinese 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   +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

open access: yesData 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   +8 more
doaj   +1 more source

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

open access: yesBrain 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   +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

open access: yesNeuroImage, 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   +8 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

open access: yesFrontiers 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   +2 more
semanticscholar   +1 more source

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

open access: yes, 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   +3 more
core   +1 more source

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