DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging

Neuroinformatics, Journal Year: 2016, Volume and Issue: 14(3), P. 339 - 351

Published: April 13, 2016

Language: Английский

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Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI

Cerebral Cortex, Journal Year: 2017, Volume and Issue: 28(9), P. 3095 - 3114

Published: June 23, 2017

A central goal in systems neuroscience is the parcellation of cerebral cortex into discrete neurobiological "atoms". Resting-state functional magnetic resonance imaging (rs-fMRI) offers possibility vivo human cortical parcellation. Almost all previous parcellations relied on 1 2 approaches. The local gradient approach detects abrupt transitions connectivity patterns. These potentially reflect areal boundaries defined by histology or visuotopic fMRI. By contrast, global similarity clusters similar patterns regardless spatial proximity, resulting parcels with homogeneous (similar) rs-fMRI signals. Here, we propose a gradient-weighted Markov Random Field (gwMRF) model integrating and Using task-fMRI across diverse acquisition protocols, found gwMRF to be more than 4 previously published parcellations. Furthermore, agreed certain areas using Some captured subareal (somatotopic visuotopic) features that likely distinct computational units within known areas. results suggest reveal neurobiologically meaningful brain organization are useful for future applications requiring dimensionality reduction voxel-wise fMRI data. Multiresolution generated from 1489 participants publicly available (https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/brain_parcellation/Schaefer2018_LocalGlobal).

Language: Английский

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Resting-state functional connectivity in major depressive disorder: A review

Neuroscience & Biobehavioral Reviews, Journal Year: 2015, Volume and Issue: 56, P. 330 - 344

Published: July 30, 2015

Language: Английский

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Building a Science of Individual Differences from fMRI

Trends in Cognitive Sciences, Journal Year: 2016, Volume and Issue: 20(6), P. 425 - 443

Published: May 1, 2016

Language: Английский

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On the Stability of BOLD fMRI Correlations

Cerebral Cortex, Journal Year: 2016, Volume and Issue: unknown

Published: Sept. 2, 2016

Measurement of correlations between brain regions (functional connectivity) using blood oxygen level dependent (BOLD) fMRI has proven to be a powerful tool for studying the functional organization brain. Recently, dynamic connectivity emerged as major topic in resting-state BOLD literature. Here, simulations and multiple sets empirical observations, we confirm that imposed task states can alter correlation structure activity. However, find observations "dynamic" during resting state are largely explained by sampling variability. Beyond variability, largest part observed "dynamics" rest is attributable head motion. An additional component variability fluctuating sleep state. Thus, aside from preceding explanatory factors, single structure—as opposed sequence distinct structures—may adequately describe measured fMRI. These results suggest do not primarily reflect moment-to-moment changes cognitive content. Rather, may predominantly processes concerned with maintenance long-term stability brain's organization.

Language: Английский

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A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis

NeuroImage, Journal Year: 2019, Volume and Issue: 203, P. 116157 - 116157

Published: Sept. 5, 2019

Once considered mere noise, fMRI-based functional connectivity has become a major neuroscience tool in part due to early studies demonstrating its reliability. These fundamental revealed only the tip of iceberg; over past decade, many test-retest reliability have continued add nuance our understanding this complex topic. A summary these diverse and at times contradictory perspectives is needed. We aimed summarize existing knowledge regarding most basic unit analysis: individual edge level. This entailed (1) meta-analytic estimate (2) review factors influencing search Scopus was conducted identify that estimated edge-level To facilitate comparisons across studies, eligibility restricted measuring via intraclass correlation coefficient (ICC). The meta-analysis included random effects pooled mean ICC, with nested within datasets. narrative ICC. From an initial pool 212 44 were identified for qualitative 25 quantitative meta-analysis. On average, edges exhibited "poor" ICC 0.29 (95% CI = 0.23 0.36). reliable measurements tended involve: stronger, within-network, cortical edges, eyes open, awake, active recordings, (3) more within-subject data, (4) shorter intervals, (5) no artifact correction (likely artifact), (6) full correlation-based shrinkage. study represents first systematic investigating connectivity. Key findings suggest there room improvement, but care should be taken avoid promoting expense validity. By pooling key facet accuracy, supports broader efforts improve inferences field.

Language: Английский

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Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI

NeuroImage, Journal Year: 2015, Volume and Issue: 112, P. 278 - 287

Published: March 11, 2015

Language: Английский

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Resting-State Functional MRI: Everything That Nonexperts Have Always Wanted to Know

American Journal of Neuroradiology, Journal Year: 2018, Volume and Issue: unknown

Published: Jan. 18, 2018

Resting-state fMRI was first described by Biswal et al in 1995 and has since then been widely used both healthy subjects patients with various neurologic, neurosurgical, psychiatric disorders. As opposed to paradigm- or task-based functional MR imaging, resting-state does not require perform any specific task. The low-frequency oscillations of the signal have shown relate spontaneous neural activity. There are many ways analyze data. In this review article, we will briefly describe a few these highlight advantages limitations each. This description is facilitate adoption use clinical setting, helping neuroradiologists become familiar techniques applying them for care neurologic diseases.

Language: Английский

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Depression, Neuroimaging and Connectomics: A Selective Overview

Biological Psychiatry, Journal Year: 2014, Volume and Issue: 77(3), P. 223 - 235

Published: Aug. 23, 2014

Language: Английский

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An open science resource for establishing reliability and reproducibility in functional connectomics

Scientific Data, Journal Year: 2014, Volume and Issue: 1(1)

Published: Dec. 8, 2014

Abstract Efforts to identify meaningful functional imaging-based biomarkers are limited by the ability reliably characterize inter-individual differences in human brain function. Although a growing number of connectomics-based measures reported have moderate high test-retest reliability, variability data acquisition, experimental designs, and analytic methods precludes generalize results. The Consortium for Reliability Reproducibility (CoRR) is working address this challenge establish reliability as minimum standard development connectomics. Specifically, CoRR has aggregated 1,629 typical individuals’ resting state fMRI (rfMRI) (5,093 rfMRI scans) from 18 international sites, openly sharing them via International Data-sharing Neuroimaging Initiative (INDI). To allow researchers generate various estimates reproducibility, variety acquisition procedures designs included. Similarly, enable users assess impact commonly encountered artifacts (for example, motion) on characterizations variation, datasets varying quality

Language: Английский

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