Results 61 to 70 of about 249,333 (304)

Acupuncture modulates resting state hippocampal functional connectivity in Alzheimer disease. [PDF]

open access: yesPLoS ONE, 2014
Our objective is to clarify the effects of acupuncture on hippocampal connectivity in patients with Alzheimer disease (AD) using functional magnetic resonance imaging (fMRI).
Zhiqun Wang   +7 more
doaj   +1 more source

Depression uncouples brain hate circuit [PDF]

open access: yes, 2011
It is increasingly recognized that we need a better understanding of how mental disorders such as depression alter the brain's functional connections to improve both early diagnosis and therapy.
J Feng   +13 more
core   +1 more source

Benchmarking functional connectome‐based predictive models for resting‐state fMRI

open access: yesNeuroImage, 2019
&NA; Functional connectomes reveal biomarkers of individual psychological or clinical traits. However, there is great variability in the analytic pipelines typically used to derive them from rest‐fMRI cohorts. Here, we consider a specific type of studies,
Kamalaker Dadi   +6 more
semanticscholar   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani   +10 more
wiley   +1 more source

Decoding Task-Related Functional Brain Imaging Data to Identify Developmental Disorders: The Case of Congenital Amusia

open access: yesFrontiers in Neuroscience, 2019
Machine learning classification techniques are frequently applied to structural and resting-state fMRI data to identify brain-based biomarkers for developmental disorders. However, task-related fMRI has rarely been used as a diagnostic tool.
Philippe Albouy   +12 more
doaj   +1 more source

Spatio-temporal correlation tensors reveal functional structure in human brain. [PDF]

open access: yesPLoS ONE, 2013
Resting state functional magnetic resonance imaging (fMRI) has been commonly used to measure functional connectivity between cortical regions, while diffusion tensor imaging (DTI) can be used to characterize structural connectivity of white matter tracts.
Zhaohua Ding   +5 more
doaj   +1 more source

Thalamo‐Lesional Connectivity Signatures of Bilateral Tonic–Clonic Seizures in Focal Cortical Dysplasia‐Related Epilepsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie   +8 more
wiley   +1 more source

Network analysis of EEG related functional MRI changes due to medication withdrawal in focal epilepsy

open access: yesNeuroImage: Clinical, 2015
Anti-epileptic drugs (AEDs) have a global effect on the neurophysiology of the brain which is most likely reflected in functional brain activity recorded with EEG and fMRI.
Kees Hermans   +7 more
doaj   +1 more source

THE RELATIONSHIP BETWEEN THE DEFAULT MODE RESTING STATE NEURAL NETWORK, RESPIRATORY SINUS ARRHYTHMIA, AND SELF-FOCUSED COGNITION: AN EMPIRICAL ANALYSIS [PDF]

open access: yes, 2013
Functional activity within the default mode resting state neural network (RSNN) and the resting respiratory sinus arrhythmia (RSA) may represent an integrated neural and peripheral cardiovascular index of the baseline, resting state in humans.
Egizio, Victoria
core  

Stationary EEG pattern relates to large-scale resting state networks - An EEG-fMRI study connecting brain networks across time-scales. [PDF]

open access: yes, 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.
Olguín-Rodríguez, Paola V   +8 more
core   +1 more source

Home - About - Disclaimer - Privacy