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Multi-subject Functional Connectivity fMRI Data

Statistical harmonization corrects site effects in functional connectivity measurements from multi‐site fMRI data

Statistical harmonization corrects site effects in functional connectivity measurements from multi‐site fMRI data

... INTRODUCTION Functional magnetic resonance imaging (fMRI), a non-invasive neuroimaging modality with high spatial resolution, enables neural activity to be ...monitored. Functional ...

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A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data

A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data

... in multi-subject fMRI experi- ...the fMRI literature, which separate the inference on the individual fMRI time courses from the inference at the population ...informed ...

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Clusterwise Independent Component Analysis (C-ICA) for multi-subject fMRI data: A novel unsupervised method for assessing differences across subjects (groups) in functional connectivity patterns

Clusterwise Independent Component Analysis (C-ICA) for multi-subject fMRI data: A novel unsupervised method for assessing differences across subjects (groups) in functional connectivity patterns

... In the third simulation study, the two proposed model selection procedures are compared to each other for a limited number of data sets. It appears that the sequential procedure selects the correct model most of ...

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Altered functional connectivity in seizure onset zones revealed by fMRI intrinsic connectivity

Altered functional connectivity in seizure onset zones revealed by fMRI intrinsic connectivity

... The results of ICC maps were interpreted separately by 2 reviewers (H.W.L. and R.T.C.) who were blinded to all other clinical data. The fMRI-ICC maps were presented to the 2 reviewers separately, in random ...

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POPULATION FUNCTIONAL DATA ANALYSIS OF GROUP ICA-BASED CONNECTIVITY MEASURES FROM fMRI

POPULATION FUNCTIONAL DATA ANALYSIS OF GROUP ICA-BASED CONNECTIVITY MEASURES FROM fMRI

... the data matrix (usually dimension reduced by an SVD), rows of S con- tain the non-Gaussian independent components and A is a linear mixing ...for fMRI and hence measurement error and other sources of ...

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Reproducibility of Single Subject Functional Connectivity Measurements

Reproducibility of Single Subject Functional Connectivity Measurements

... functional connectivity. If longer imaging times are used for functional connectivity measurements, a significant problem is likely to be subject’s ability to tolerate longer scanning times ...

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An fmri study of brain functional connectivity in parkinson's disease patients

An fmri study of brain functional connectivity in parkinson's disease patients

... anatomic connectivity, ...state functional methods provided initial evidence that bold signal correlations between regions are mediated by direct and indirect anatomic ...anatomical connectivity in ...

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The frequency dimension of fMRI dynamic connectivity: Network connectivity, functional hubs and integration in the resting brain

The frequency dimension of fMRI dynamic connectivity: Network connectivity, functional hubs and integration in the resting brain

... HCP data cohort provides both long ses- sions with excellent temporal resolution (1200 scans per fMRI session, TR = ...for functional brain connec- ...are. Connectivity matrices were created ...

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Emotion Representation in Whole brain Functional Connectivity Patterns: An fMRI Study

Emotion Representation in Whole brain Functional Connectivity Patterns: An fMRI Study

... fMRI Data Acquisition Sixteen healthy participants (right-hand, range from 19 to 25 years old) were recruited in this study. They were with normal or corrected-to-normal visions and declared having no ...

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Individual Variability of Functional Connectivity in Resting-State and Naturalistic fMRI Paradigms

Individual Variability of Functional Connectivity in Resting-State and Naturalistic fMRI Paradigms

... purpose of this approach was to retain as much neural signal as possible and give researchers the flexibility to implement any further preprocessing steps they believe are necessary. The spatial preprocessing of their ...

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GPU-DFC: A GPU-based parallel algorithm for computing dynamic-functional connectivity of big fMRI data

GPU-DFC: A GPU-based parallel algorithm for computing dynamic-functional connectivity of big fMRI data

... memory. Data transferred from CPU to GPU resides in Global memory and is accessible by all ...the data multiple times. Transferring data between CPU and GPU is a slow process because of low bandwidth ...

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A group model for stable multi-subject ICA on fmri datasets

A group model for stable multi-subject ICA on fmri datasets

... individual subject datasets and performs successive PCAs and ...group-level data reduction via ...group-level data reduction applied by both MELODIC and GIFT impose some reproducibility criteria, as ...

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Analysis of connectivity between local multi-variate patterns of functional MRI data

Analysis of connectivity between local multi-variate patterns of functional MRI data

... experimental data sets (as fMRI data) consist of tem- poral and spatial independent components, approaches were developed to jointly maximize components temporal and spatial independence [155] ...the ...

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Differentiating the functional contributions of resting connectivity networks to memory decision making : fMRI support for multi stage control processes

Differentiating the functional contributions of resting connectivity networks to memory decision making : fMRI support for multi stage control processes

... functional inference as the basis of identifying memory control regions, in the absence of more systematic manipulation of control demands. As noted by Henson and colleagues themselves (2000), this basic design ...

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Multi-echo fMRI, resting-state connectivity, and high psychometric schizotypy

Multi-echo fMRI, resting-state connectivity, and high psychometric schizotypy

... striatal functional connectivity is proposed to play a critical role in the development of psychotic ...resting-state functional magnetic resonance imaging (rs-fMRI) studies typically reported ...

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Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI

Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI

... brain connectivity have demonstrated that highly connected areas, or “hubs,” are a key feature of human functional and structural brain ...resting-state functional MRI data and ...

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Measuring directed functional connectivity in mouse fMRI networks using Granger Causality

Measuring directed functional connectivity in mouse fMRI networks using Granger Causality

... Discussion connectivity if the assumptions of the model are ...directional connectivity depends on the number of nodes we condition ...simulate data with statistics close to the one of the real ...

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Localizing the Language Network with fMRI and Functional Connectivity: Implications for Pre Surgical Planning

Localizing the Language Network with fMRI and Functional Connectivity: Implications for Pre Surgical Planning

... Verbal response naming and covert word generation involve reading, com- prehension of the written sentence and naming and thus, predictably, activate the posterior language regions demonstrated in this investigation. ...

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Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping

Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping

... of fMRI time series. Using simulated fMRI datasets we found that DTW is able to capture a wide range of interactions and it is less sensitive to linearly combined common noise in the data then ...

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Altered functional connectivity of the marginal division in migraine: a resting-state fMRI study

Altered functional connectivity of the marginal division in migraine: a resting-state fMRI study

... Demographic and clinical data are summarized in Table 1. One hundred and ten subjects were included in our study, comprising 44 patients with MOH + CM (35 females, nine males, mean age 42.3 ± 9.6 years), 16 pa- ...

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