Results 91 to 100 of about 117,241 (194)
Evaluation of Whole-Brain Resting-State Functional Connectivity in Spinal Cord Injury - A Large-Scale Network Analysis Using Network Based Statistic [PDF]
, 2017 Large-scale network analysis characterizes the brain as a complex network of nodes and edges to evaluate functional connectivity patterns. The utility of graph-based techniques has been demonstrated in an increasing number of restingstate functional MRI (
Budde, Matthew D. +11 more
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NeuroImageNeurovascular coupling serves as an essential neurophysiological mechanism in functional neuroimaging, which is generally presumed to be robust and invariant across different physiological states, encompassing both task engagement and resting state ...
Yi-Chia Kung +6 more
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Functional connectivity changes and their relationship with clinical disability and white matter integrity in patients with relapsing-remitting multiple sclerosis [PDF]
, 2015 Background and objective: To define the pathological substrate underlying disability in multiple sclerosis by evaluating the relationship of resting-state functional connectivity with microstructural brain damage, as assessed by diffusion tensor maging ...
Filippini, N +8 more
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The Neuroradiology Journal, 2017 The inquisitiveness about what happens in the brain has been there since the beginning of humankind. Functional magnetic resonance imaging is a prominent tool which helps in the non-invasive examination, localisation as well as lateralisation of brain functions such as language, memory, etc.
K A, Smitha +6 more
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Network Neuroscience, 2020 Concurrent electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) bridge brain connectivity across timescales. During concurrent EEG-fMRI resting-state recordings, whole-brain functional connectivity (FC) strength is spatially ...
Jonathan Wirsich +4 more
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Predicting phenotypes of elderly from resting state fMRI
, 2023 Abstract Machine learning techniques are increasingly embraced in neuroimaging studies of healthy and diseased human brains. They have been used successfully in predicting phenotypes, or even clinical outcomes, and in turning functional connectome metrics into phenotype biomarkers of both healthy individuals and patients. In this study, we used
Verovnik, Barbara +2 more
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Brain Connections – Resting State fMRI Functional Connectivity
, 2013 With the introduction of electroencephalography (EEG) in 1930, researchers began to explore spontaneous activity in the brain by recording the individual, independently of any task. Subsequently, evoked potential studies, where electrical potentials were recorded at the onset of a stimulus, marked a milestone in brain research.
de la Iglesia-Vaya, M. +4 more
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PLoS ONE, 2018 Functional magnetic resonance imaging (fMRI) is an important tool for pre-surgical evaluation of eloquent cortex. Classic task-based paradigms require patient participation and individual imaging sequence acquisitions for each functional domain that is ...
Eric C Leuthardt +14 more
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Resting state functional connectivity in the default mode network and aerobic exercise in young adults [PDF]
, 2017 Around the world Alzheimer’s Disease (AD) is on the rise. Previous studies have shown the default mode network (DMN) sees changes with AD progression as the disease erodes away cortical areas.
Goss, Andrew
core
Improving Reliability of Subject-Level Resting-State fMRI Parcellation with Shrinkage Estimators [PDF]
, 2015 A recent interest in resting state functional magnetic resonance imaging (rsfMRI) lies in subdividing the human brain into anatomically and functionally distinct regions of interest.
Caffo, Brian +7 more
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