resting state fmri - Robuta Search

https://www.sri.com/publication/biosciences-health-pubs/resting-state-fmri-activation-is-associated-with-phenotypic-features-of-autism-in-early-adolescence/ Resting-state fMRI activation is associated with phenotypic features of autism in early adolescence... Mar 27, 2025 - In this study, we aimed to explore if activation in brain regions of the default mode network (DMN), specifically the medial prefrontal cortex (MPC), posterior... resting state fmri https://pmc.ncbi.nlm.nih.gov/articles/PMC4043948/ Reduction of motion-related artifacts in resting state fMRI using aCompCor - PMC Recent studies have illustrated that motion-related artifacts remain in resting-state fMRI (rs-fMRI) data even after common corrective processing procedures... resting state fmri https://pmc.ncbi.nlm.nih.gov/articles/PMC5540810/ On the Detection of High Frequency Correlations in Resting State fMRI - PMC Current studies of resting-state connectivity rely on coherent signal fluctuations at frequencies below 0.1 Hz, however, recent studies using high-speed fMRI... resting state fmri on the high frequency https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2014.00502/full Frontiers | On the generalizability of resting-state fMRI machine learning classifiers Machine learning classifiers have become increasingly popular tools to generate single-subject inferences from fMRI data. With this transition from the tradi... resting state fmri on the machine learning frontiers generalizability https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2021.731596/full Frontiers | Altered Variability and Concordance of Dynamic Resting-State fMRI Indices in Patients... Objective: Attention deficit hyperactivity disorder (ADHD) is a commonly diagnosed neuropsychiatric disorder in children, which is characterized by inattenti... resting state fmri https://pmc.ncbi.nlm.nih.gov/articles/PMC10977879/ Continuous evaluation of denoising strategies in resting-state fMRI connectivity using fMRIPrep and... Reducing contributions from non-neuronal sources is a crucial step in functional magnetic resonance imaging (fMRI) connectivity analyses. Many viable... resting state fmri https://pmc.ncbi.nlm.nih.gov/articles/PMC12323070/ Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal... Accurate preoperative grading of gliomas is critical for therapeutic planning and prognostic evaluation. We developed a noninvasive machine learning model... resting state fmri https://github.com/cgratton/DartmouthMIND_tutorial GitHub - cgratton/DartmouthMIND_tutorial: Tutorial on resting-state fMRI functional connectivity... Tutorial on resting-state fMRI functional connectivity for the 2017 Dartmouth MIND summer school. - cgratton/DartmouthMIND_tutorial resting state fmri github tutorial functional connectivity https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1465467/full Frontiers | A resting-state fMRI cross-sectional study of cardiorespiratory fitness decline after... ObjectiveThe present study aimed to investigate alterations in neural activity and reorganization of functional networks within critical brain regions associ... resting state fmri cross sectional study https://pmc.ncbi.nlm.nih.gov/articles/PMC5489212/ Potential pitfalls when denoising resting state fMRI data using nuisance regression - PMC In resting state fMRI, it is necessary to remove signal variance associated with noise sources, leaving cleaned fMRI time-series that more accurately reflect... resting state fmri