Results 41 to 50 of about 369,066 (296)

Multimodal contrastive learning on rs-fMRI to quantify whole-brain network recovery after hypothalamic hamartoma surgery

open access: yesBioMedical Engineering OnLine
Introduction Epilepsy due to hypothalamic hamartoma (HH) is associated with epileptic encephalopathy and often requires surgical intervention, as medications are ineffective at reducing the seizures. However, the first step of disentangling the impact of
Andrew Jeyabose   +4 more
doaj   +1 more source

A Bayesian Variable Selection Approach Yields Improved Detection of Brain Activation From Complex-Valued fMRI [PDF]

open access: yes, 2018
Voxel functional magnetic resonance imaging (fMRI) time courses are complex-valued signals giving rise to magnitude and phase data. Nevertheless, most studies use only the magnitude signals and thus discard half of the data that could potentially contain
Ombao, Hernando   +3 more
core   +1 more source

Serial Correlations in Single-Subject fMRI with Sub-Second TR

open access: yes, 2017
When performing statistical analysis of single-subject fMRI data, serial correlations need to be taken into account to allow for valid inference. Otherwise, the variability in the parameter estimates might be under-estimated resulting in increased false ...
Barth, Markus   +3 more
core   +1 more source

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi   +8 more
wiley   +1 more source

Evaluating the robustness of DTI-ALPS in clinical context: a meta-analytic parallel on Alzheimer’s and Parkinson’s diseases

open access: yesScientific Reports
In recent years, the glymphatic system has received increasing attention due to its possible implications in biological mechanisms associated with neurodegeneration.
Tommaso Costa   +8 more
doaj   +1 more source

The Brain in (Willed) Action: A Meta-Analytical Comparison of Imaging Studies on Motor Intentionality and Sense of Agency

open access: yesFrontiers in Psychology, 2019
Voluntary actions can be fractionated in different phenomena: from the emergence of intentions and the ensuing motor plans and actions, to the anticipation and monitoring of their outcomes, to the appreciation of their congruency with intentions and to ...
Silvia Seghezzi   +5 more
doaj   +1 more source

Effectiveness of rTMS on Working Memory and Inhibitory Impairments in Patients With Post‐Stroke Executive Deficits

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao   +6 more
wiley   +1 more source

Extracting Weight of Evidence from p-Value via Bayesian Approach to Activation Likelihood Estimation Meta-Analysis

open access: yesBrain Sciences
Background: p-values are ubiquitous in scientific research, yet they fundamentally fail to quantify the strength of evidence for or against competing hypotheses. This limitation is particularly problematic in neuroimaging meta-analyses, where researchers
Tommaso Costa   +4 more
doaj   +1 more source

Cuspis: A MATLAB Suite for Tasks Investigating Heart-Brain Interactions during fMRI

open access: yesJournal of Open Research Software, 2023
Cuspis (Latin: [kuspis], meaning “sharp point”) is a MATLAB suite for presenting visual stimuli at different phases of the cardiac cycle and is designed to work with an MRI-compatible setup.
Valerio Villani, Manos Tsakiris
doaj   +1 more source

Estimating effective connectivity in linear brain network models

open access: yes, 2017
Contemporary neuroscience has embraced network science to study the complex and self-organized structure of the human brain; one of the main outstanding issues is that of inferring from measure data, chiefly functional Magnetic Resonance Imaging (fMRI ...
Bertoldo, Alessandra   +3 more
core   +1 more source

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