Results 91 to 100 of about 72,622 (298)

Investigation of True High Frequency Electrical Substrates of fMRI-Based Resting State Networks Using Parallel Independent Component Analysis of Simultaneous EEG/fMRI Data [PDF]

open access: yes, 2017
Previous work using simultaneously acquired electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data has shown that the slow temporal dynamics of resting state brain networks (RSNs), e.g., default mode network (DMN), visual ...
Gopikrishna Deshpande   +7 more
core   +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.
Hae-Jeong Park   +4 more
openaire   +4 more sources

On the generalizability of resting-state fMRI machine learning classifiers [PDF]

open access: yesFrontiers in Human Neuroscience, 2014
Machine learning classifiers have become increasingly popular tools to generate single-subject inferences from fMRI data. With this transition from the traditional group level difference investigations to single-subject inference, the application of machine learning methods can be seen as a considerable step forward.
Wolfgang eHuf   +15 more
openaire   +3 more sources

Glymphatic dysfunction couples with cortical excitation–inhibition imbalance in epilepsy: Evidence from Rasmussen encephalitis

open access: yesEpilepsia, EarlyView.
Cong Fu et al. demonstrate that glymphatic system dysfunction is linked to enhanced inhibitory cortical activity using diffusion MRI and EEG. These findings highlight a mechanistic link between perivascular fluid dynamics and neuronal activity, suggesting a role for glymphatic function in maintaining cortical stability in epilepsy.
Cong Fu   +11 more
wiley   +1 more source

Methodological problems in fMRI studies on acupuncture: a critical review with special emphasis on visual and auditory cortex activations

open access: yes, 2011
Functional magnetic resonance imaging (fMRI) has been used for more than a decade to investigate possible supraspinal mechanisms of acupuncture stimulation. More than 60 studies and several review articles have been published on the topic.
Beißner, Florian, Henke, Christian
core   +1 more source

Stereo‐EEG mapping of visual working memory with task‐related high‐gamma modulations

open access: yesEpilepsia, EarlyView.
Abstract Objective We describe a safe, informative, and easy‐to‐implement approach for presurgical mapping of visual working memory (VWM) with stereo‐electroencephalography (SEEG). Methods Twenty‐four patients with drug‐resistant epilepsy, 11–23 years of age, performed a single‐probe change detection VWM task, during SEEG monitoring.
Brian Ervin   +13 more
wiley   +1 more source

Correspondence Between Resting-State and Episodic Memory-Task Related Networks in Elderly Subjects

open access: yesFrontiers in Aging Neuroscience, 2018
Resting-state fMRI studies demonstrated temporally synchronous fluctuations in brain activity among ensembles of brain regions, suggesting the existence of intrinsic functional networks.
Lee Simon-Vermot   +11 more
doaj   +1 more source

EEG–fMRI mapping of asymmetrical delta activity in a patient with refractory epilepsy is concordant with the epileptogenic region determined by intracranial EEG

open access: yes, 2006
We studied a patient with refractory focal epilepsy using continuous EEG-correlated fMRI. Seizures were characterized by head turning to the left and clonic jerking of the left arm, suggesting a right frontal epileptogenic region.
Walker, M.C.   +13 more
core   +1 more source

Frequency-Dependent Relationship Between Resting-State fMRI and Glucose Metabolism in the Elderly [PDF]

open access: yes, 2019
Both glucose metabolism and resting-state fMRI (RS-fMRI) signal reflect hemodynamic features. The objective of this study was to investigate their relationship in the resting-state in healthy elderly participants (n = 18).
Su, Hui   +11 more
core   +1 more source

Integrating multivariate resting‐state fMRI features to localize epileptic networks in common childhood epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Objective Accurate localization of epileptic activity remains challenging when interictal discharges are absent or sparse. Although resting‐state functional MRI (rs‐fMRI) is noninvasive, individual rs‐fMRI metrics provide inconsistent and incomplete localization.
Qirui Zhang   +8 more
wiley   +1 more source

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