Results 31 to 40 of about 8,419,741 (275)

Dynamic brain activity states of memory impairment in stroke patients with varying motor outcomes

open access: yesFrontiers in Aging Neuroscience, 2023
IntroductionThe objective of this study was to characterize the alteration patterns of dynamic spatiotemporal activity in chronic subcortical stroke patients with varying motor outcomes, while investigating the imaging indicators relevant to the ...
Caihong Wang   +27 more
doaj   +1 more source

Identification of Concussion Subtypes Based on Intrinsic Brain Activity.

open access: yesJAMA Netw Open
Importance The identification of brain activity–based concussion subtypes at time of injury has the potential to advance the understanding of concussion pathophysiology and to optimize treatment planning and outcomes.
Armañanzas R   +4 more
europepmc   +3 more sources

Neuronal and astroglial correlates underlying spatiotemporal Intrinsic Optical Signal in the rat hippocampal slice [PDF]

open access: yes, 2013
Widely used for mapping afferent activated brain areas in vivo, the label-free intrinsic optical signal (IOS) is mainly ascribed to blood volume changes subsequent to glial glutamate uptake.
Ildikó Pál   +15 more
core   +2 more sources

Unmasking Language Lateralization in Human Brain Intrinsic Activity [PDF]

open access: yesCerebral Cortex, 2015
Lateralization of function is a fundamental feature of the human brain as exemplified by the left hemisphere dominance of language. Despite the prominence of lateralization in the lesion, split-brain and task-based fMRI literature, surprisingly little asymmetry has been revealed in the increasingly popular functional imaging studies of spontaneous ...
Mark, McAvoy   +6 more
openaire   +2 more sources

Abnormal brain activities in multiple frequency bands in Parkinson’s disease with apathy

open access: yesFrontiers in Neuroscience, 2022
BackgroundApathy is among the most prevalent and incapacitating non-motor symptoms of Parkinson’s disease (PD). PD patients with apathy (PD-A) have been reported to have abnormal spontaneous brain activity mainly in 0.01–0.08 Hz.
Haikun Xu   +5 more
doaj   +1 more source

Altered Temporal Dynamic Intrinsic Brain Activity in Late Blindness. [PDF]

open access: yesBiomed Res Int, 2020
Previous neuroimaging studies demonstrated that visual deprivation triggers significant crossmodal plasticity in the functional and structural architecture of the brain. However, prior neuroimaging studies focused on the static brain activity in blindness.
Huang X   +6 more
europepmc   +4 more sources

Dynamics and Concordance Abnormalities Among Indices of Intrinsic Brain Activity in Individuals With Subjective Cognitive Decline: A Temporal Dynamics Resting-State Functional Magnetic Resonance Imaging Analysis

open access: yesFrontiers in Aging Neuroscience, 2021
Individuals with subjective cognitive decline (SCD) are more likely to develop into Alzheimer disease (AD) in the future. Resting-state functional magnetic resonance imaging (rs-fMRI) studies have shown alterations of intrinsic brain activity (IBA) in ...
Yiwen Yang   +13 more
doaj   +1 more source

Increased Dynamic Amplitude of Low Frequency Fluctuation in Primary Insomnia

open access: yesFrontiers in Neurology, 2020
The physiological mechanism underlying primary insomnia (PI) is poorly understood. Resting-state functional magnetic resonance imaging (fMRI) has emerged as a powerful tool to explore PI.
Xianyun Meng   +10 more
doaj   +1 more source

Functional Coherence in Intrinsic Frontal Executive Networks Predicts Cognitive Impairments in Alcohol Use Disorder

open access: yesBrain Sciences, 2022
Growing evidence highlights the potential of innovative rehabilitative interventions such as cognitive remediation and neuromodulation, aimed at reducing relapses in Alcohol Use Disorder (AUD).
Nicola Canessa   +4 more
doaj   +1 more source

Predicting intrinsic brain activity

open access: yesNeuroImage, 2013
Multivariate supervised learning methods exhibit a remarkable ability to decode externally driven sensory, behavioral, and cognitive states from functional neuroimaging data. Although they are typically applied to task-based analyses, supervised learning methods are equally applicable to intrinsic effective and functional connectivity analyses.
R. Cameron Craddock   +2 more
openaire   +2 more sources

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