Results 31 to 40 of about 996,481 (256)

Boosting BOLD fMRI by K-Space density weighted echo planar imaging [PDF]

open access: yes, 2013
Functional magnetic resonance imaging (fMRI) has become a powerful and influential method to non-invasively study neuronal brain activity. For this purpose, the blood oxygenation level-dependent (BOLD) effect is most widely used. T2* weighted echo planar
Andreas J Bartsch   +14 more
core   +2 more sources

Modeling and inference of multisubject fMRI data [PDF]

open access: yes, 2006
Functional magnetic resonance imaging (fMRI) is a rapidly growing technique for studying the brain in action. Since its creation [1], [2], cognitive scientists have been using fMRI to understand how we remember, manipulate, and act on information in ...
J.A. Mumford   +3 more
core   +2 more sources

fMRI activation detection with EEG priors [PDF]

open access: yes, 2013
The purpose of brain mapping techniques is to advance the understanding of the relationship between structure and function in the human brain in so-called activation studies.
Sämann, Philipp   +3 more
core   +1 more source

Overview of rs-fMRI study groups.

open access: yes, 2022
Overview of rs-fMRI study groups.
Doaa Mousa (12407236)   +2 more
core   +1 more source

Effects of Field-Map Distortion Correction on Resting State Functional Connectivity MRI

open access: yesFrontiers in Neuroscience, 2017
Magnetic field inhomogeneities cause geometric distortions of echo planar images used for functional magnetic resonance imaging (fMRI). To reduce this problem, distortion correction (DC) with field map is widely used for both task and resting-state fMRI (
Hiroki Togo   +10 more
doaj   +1 more source

A Descriptive Review of the Impact of Patient Motion in Early Childhood Resting-State Functional Magnetic Resonance Imaging

open access: yesDiagnostics, 2022
Resting-state functional magnetic images (rs-fMRIs) can be used to map and delineate the brain activity occurring while the patient is in a task-free state.
Jenna Schabdach   +5 more
doaj   +1 more source

Wavelet-Based Fractal Analysis of rs-fMRI for Classification of Alzheimer’s Disease

open access: yesSensors, 2022
The resting-state functional magnetic resonance imaging (rs-fMRI) modality has gained widespread acceptance as a promising method for analyzing a variety of neurological and psychiatric diseases. It is established that resting-state neuroimaging data exhibit fractal behavior, manifested in the form of slow-decaying auto-correlation and power-law ...
Alishba Sadiq   +4 more
openaire   +4 more sources

Application of spatial and temporal ICA on resting state fmri data to remove motion-related noise [PDF]

open access: yes, 2022
The aim of the present study is to implement Glasser’s method, in particular the focus of this thesis is to select and remove motion-related noise sources. In order to evaluate the effectiveness of implemented method on motion problem on rs-fmri data, it
Piotto, Irene
core  

Brain network constraints and recurrent neural networks reproduce unique trajectories and state transitions seen over the span of minutes in resting-state fMRI

open access: yesNetwork Neuroscience, 2020
Large-scale patterns of spontaneous whole-brain activity seen in resting-state functional magnetic resonance imaging (rs-fMRI) are in part believed to arise from neural populations interacting through the structural network (Honey, Kötter, Breakspear ...
Kashyap, Amrit, Keilholz, Shella
doaj   +1 more source

EEG–fMRI of idiopathic and secondarily generalized epilepsies [PDF]

open access: yes, 2006
We used simultaneous EEG and functional MRI (EEG–fMRI) to study generalized spike wave activity (GSW) in idiopathic and secondary generalized epilepsy (SGE).
Lemieux, L.   +15 more
core   +1 more source

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