What question did this study set out to answer?

To introduce and evaluate the Conn toolbox, an open-source platform designed to estimate resting-state and task-related functional connectivity without confounding noise artifacts.

May 29, 2012Brain Connectivity

Conn : A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks

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Authors

SWSusan Whitfield‐GabrieliNortheastern University ANAlfonso Nieto-CastañónBoston University

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Implication

Methodological evaluation demonstrates improved sensitivity and selectivity of fcMRI analysis in human brain scans, highlighting reliable mapping of correlated and anticorrelated networks.

Key Points

To introduce and evaluate the Conn toolbox, an open-source platform designed to estimate resting-state and task-related functional connectivity without confounding noise artifacts.
Implemented the component-based noise correction (CompCor) method to remove physiological noise, movement parameters, and temporal covariates without global signal regression.
Integrated first- and second-level analysis pipelines including seed-to-voxel, region of interest (ROI)-to-ROI, semipartial correlation, multivariate regression, and graph theoretical metrics.
Evaluated the toolbox's sensitivity, selectivity, and interscan reliability across standard functional connectivity MRI (fcMRI) measures.
The CompCor noise reduction strategy increased the sensitivity and selectivity of functional connectivity analyses while preserving valid interpretations of anticorrelations.
fcMRI analytical measures implemented within the toolbox demonstrated a high degree of interscan reliability across resting-state and task-based datasets.

Cite This Study

Whitfield‐Gabrieli et al. (2012) studied this question.

synapsesocial.com/papers/697ccf177c60385f95b002ca https://doi.org/10.1089/brain.2012.0073

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Implication

Methodological evaluation demonstrates improved sensitivity and selectivity of fcMRI analysis in human brain scans, highlighting reliable mapping of correlated and anticorrelated networks.

Conn : A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks

Discussion

Member takes

Implication

Key Points

Cite This Study

Conn : A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks

Discussion

Member takes

Implication

Key Points

Cite This Study

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