Results 81 to 90 of about 116,293 (248)
, 2017 Recent studies on analyzing dynamic brain connectivity rely on sliding-window analysis or time-varying coefficient models which are unable to capture both smooth and abrupt changes simultaneously. Emerging evidence suggests state-related changes in brain
Ombao, Hernando +3 more
core +1 more source
Visual learning induces changes in resting-state fMRI multivariate pattern of information [PDF]
, 2015 When measured with functional magnetic resonance imaging (fMRI) in the resting state (R-fMRI), spontaneous activity is correlated between brain regions that are anatomically and functionally related. Learning and/or task performance can induce modulation
Baldassarre, Antonello +4 more
core +2 more sources
Evaluation of Multiband EPI Acquisitions for Resting State fMRI
PLOS ONE, 2015 PLoS ONE, 10 (9)
Preibisch, Christine +3 more
openaire +8 more sources
TVB C++: A Fast and Flexible Back‐End for The Virtual Brain
Advanced Science, EarlyView.TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín +7 more
wiley +1 more source
Disambiguating the role of blood flow and global signal with partial information decomposition [PDF]
, 2019 Global signal (GS) is an ubiquitous construct in resting state functional magnetic resonance imaging (rs-fMRI), associated to nuisance, but containing by definition most of the neuronal signal.
Calhoun, Vince D. +5 more
core +2 more sources
A Replicable and Generalizable Neuroimaging‐Based Indicator of Pain Sensitivity Across Individuals
Advanced Science, EarlyView.Humans differ in their sensitivity to pain. With six large and diverse fMRI datasets (total N = 1046), this study finds that such individual differences in pain sensitivity can be tracked by fMRI responses to painful stimuli. A highly generalizable machine learning model is further built to predict pain sensitivity across all datasets and analgesic ...
Li‐Bo Zhang +7 more
wiley +1 more source
Correspondence Between Resting-State and Episodic Memory-Task Related Networks in Elderly Subjects
Frontiers 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
Abnormal resting-state functional connectivity in progressive supranuclear palsy and corticobasal syndrome [PDF]
, 2017 Background: Pathological and MRI-based evidence suggests that multiple brain structures are likely to be involved in functional disconnection between brain areas. Few studies have investigated resting-state functional connectivity (rsFC) in progressive
Berardelli, Alfredo +9 more
core +2 more sources
Resting-state fMRI as a biomarker for Alzheimer's disease? [PDF]
Alzheimer's Research & Therapy, 2012 Previous work indicates that resting-state functional magnetic resonance imaging (fMRI) is sensitive to functional brain changes related to Alzheimer's disease (AD) pathology across the clinical spectrum. Cross-sectional studies have found functional connectivity differences in the brain's default mode network in aging, mild cognitive impairment, and ...
openaire +3 more sources
Multiscale network activity in resting state fMRI [PDF]
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 The brain is inherently multiscalar in both space and time. We argue that this multiscalar nature is reflected in the blood oxygenation level dependent (BOLD) fluctuations used to map functional connectivity. We present evidence that global fluctuations in activity, quasiperiodic spatiotemporal patterns, and aperiodic time-varying activity coexist ...
Maysam Nezafati +7 more
openaire +2 more sources