A component based noise correction method (CompCor) for BOLD and perfusion based fMRI
TLDR
A component based method for the reduction of noise in both blood oxygenation level-dependent (BOLD) and perfusion-based functional magnetic resonance imaging (fMRI) data is presented and the temporal standard deviation of resting-state perfusion and BOLD data in gray matter regions was significantly reduced.About:
This article is published in NeuroImage.The article was published on 2007-08-01 and is currently open access. It has received 3370 citations till now. The article focuses on the topics: Region of interest.read more
Citations
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Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks
TL;DR: The results indicate that the CompCor method increases the sensitivity and selectivity of fcMRI analysis, and show a high degree of interscan reliability for many fc MRI measures.
Journal ArticleDOI
Dynamic functional connectivity: Promise, issues, and interpretations
R. Matthew Hutchison,Thilo Womelsdorf,Elena A. Allen,Elena A. Allen,Peter A. Bandettini,Vince D. Calhoun,Vince D. Calhoun,Maurizio Corbetta,Maurizio Corbetta,Stefania Della Penna,Jeff H. Duyn,Gary H. Glover,Javier Gonzalez-Castillo,Daniel A. Handwerker,Shella D. Keilholz,Vesa Kiviniemi,David A. Leopold,Francesco de Pasquale,Olaf Sporns,Martin Walter,Martin Walter,Catie Chang +21 more
TL;DR: Emerging evidence suggests that dynamic FC metrics may index changes in macroscopic neural activity patterns underlying critical aspects of cognition and behavior, though limitations with regard to analysis and interpretation remain.
Journal ArticleDOI
DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging.
TL;DR: The newly developed toolbox, DPABI, which was evolved from REST and DPARSF is introduced, designed to make data analysis require fewer manual operations, be less time-consuming, have a lower skill requirement, a smaller risk of inadvertent mistakes, and be more comparable across studies.
Journal ArticleDOI
The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
A Di Martino,C-G Yan,Qingyang Li,E Denio,Francisco X. Castellanos,Francisco X. Castellanos,Kaat Alaerts,Kaat Alaerts,Jeffrey S. Anderson,Michal Assaf,Susan Y. Bookheimer,Mirella Dapretto,Ben Deen,Ben Deen,Sonja Delmonte,Ilan Dinstein,Ilan Dinstein,Birgit Ertl-Wagner,Damien A. Fair,Louise Gallagher,Daniel P. Kennedy,Daniel P. Kennedy,Christopher L. Keown,Christian Keysers,Christian Keysers,Janet E. Lainhart,Catherine Lord,Beatriz Luna,Vinod Menon,Nancy J. Minshew,Christopher S. Monk,Sophia Mueller,R-A Müller,Mary Beth Nebel,Joel T. Nigg,Kirsten O'Hearn,Kevin A. Pelphrey,Scott Peltier,Jeffrey D. Rudie,Stefan Sunaert,Mark Thioux,Mark Thioux,J M Tyszka,Lucina Q. Uddin,Judith Verhoeven,Nicole Wenderoth,Jillian Lee Wiggins,Stewart H. Mostofsky,Stewart H. Mostofsky,Michael P. Milham,Michael P. Milham +50 more
TL;DR: W Whole-brain analyses reconciled seemingly disparate themes of both hypo- and hyperconnectivity in the ASD literature; both were detected, although hypoconnectivity dominated, particularly for corticocortical and interhemispheric functional connectivity.
Journal ArticleDOI
Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
Alexander Schaefer,Ru Kong,Evan M. Gordon,Timothy O. Laumann,Xi-Nian Zuo,Avram J. Holmes,Simon B. Eickhoff,B.T. Thomas Yeo,B.T. Thomas Yeo +8 more
TL;DR: The results suggest that gwMRF parcellations reveal neurobiologically meaningful features of brain organization and are potentially useful for future applications requiring dimensionality reduction of voxel-wise fMRI data.
References
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Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1
TL;DR: Results from three empirical tests support the hypothesis that fMRI responses in human primary visual cortex (V1) depend separably on stimulus timing and stimulus contrast, and the noise in the fMRI data is independent of stimulus contrast and temporal period.