Results 21 to 30 of about 264,340 (333)
The Neuroscientist, 2014 Although brain plasticity is greatest in the first few years of life, the brain continues to be shaped by experience throughout adulthood. Advances in fMRI have enabled us to examine the plasticity of large-scale networks using blood oxygen level-dependent (BOLD) correlations measured at rest.
Guerra-Carrillo, Belén +2 more
openaire +5 more sources
Prediction of neurocognition in youth from resting state fMRI
Molecular Psychiatry, 2019 Chandra Sripada +7 more
openalex +3 more sources
A Deep Learning Approach to Predict Autism Spectrum Disorder Using Multisite Resting-State fMRI
Applied Sciences, 2021 Autism spectrum disorder (ASD) is a complex and degenerative neuro-developmental disorder. Most of the existing methods utilize functional magnetic resonance imaging (fMRI) to detect ASD with a very limited dataset which provides high accuracy but ...
Faria Zarin Subah +3 more
semanticscholar +1 more source
Resting-state fMRI confounds and cleanup [PDF]
NeuroImage, 2013 The goal of resting-state functional magnetic resonance imaging (fMRI) is to investigate the brain's functional connections by using the temporal similarity between blood oxygenation level dependent (BOLD) signals in different regions of the brain "at rest" as an indicator of synchronous neural activity.
Kevin, Murphy +2 more
openaire +2 more sources
Caffeine-Induced Global Reductions in Resting-State BOLD Connectivity Reflect Widespread Decreases in MEG Connectivity. [PDF]
, 2013 In resting-state functional magnetic resonance imaging (fMRI), the temporal correlation between spontaneous fluctuations of the blood oxygenation level dependent (BOLD) signal from different brain regions is used to assess functional connectivity ...
Diwakar, Mithun +6 more
core +1 more source
Large-scale DCMs for resting-state fMRI [PDF]
Network Neuroscience, 2017 This paper considers the identification of large directed graphs for resting-state brain networks based on biophysical models of distributed neuronal activity, that is, effective connectivity. This identification can be contrasted with functional connectivity methods based on symmetric correlations that are ubiquitous in resting-state functional MRI ...
Adeel Razi +8 more
openaire +5 more sources
Compressed Online Dictionary Learning for Fast fMRI Decomposition [PDF]
, 2016 We present a method for fast resting-state fMRI spatial decomposi-tions of very large datasets, based on the reduction of the temporal dimension before applying dictionary learning on concatenated individual records from groups of subjects. Introducing a
Mensch, Arthur +2 more
core +5 more sources
Resting State fMRI-Guided Fiber Clustering [PDF]
, 2011 Fiber clustering is a prerequisite step towards tract-based analysis of white mater integrity via diffusion tensor imaging (DTI) in various clinical neuroscience applications. Many methods reported in the literature used geometric or anatomic information for fiber clustering.
Bao, Ge +6 more
openaire +2 more sources
medRxiv, 2020 Resting‐state fMRI (rs‐fMRI) detects functional connectivity (FC) abnormalities that occur in the brains of patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI).
B. Ibrahim +6 more
semanticscholar +1 more source
Neural underpinning of a respiration-associated resting-state fMRI network
eLife, 2022 Respiration can induce motion and CO2 fluctuation during resting-state fMRI (rsfMRI) scans, which will lead to non-neural artifacts in the rsfMRI signal.
Wenyu Tu, Nanyin Zhang
semanticscholar +1 more source