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

@article{WhitfieldGabrieli2012ConnAF,
  title={Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks},
  author={Susan L. Whitfield-Gabrieli and Alfonso Nieto-Casta{\~n}{\'o}n},
  journal={Brain connectivity},
  year={2012},
  volume={2 3},
  pages={
          125-41
        }
}
Resting state functional connectivity reveals intrinsic, spontaneous networks that elucidate the functional architecture of the human brain. [] Key Method We have developed a functional connectivity toolbox Conn ( www.nitrc.org/projects/conn ) that implements the component-based noise correction method (CompCor) strategy for physiological and other noise source reduction, additional removal of movement, and temporal covariates, temporal filtering and windowing of the residual blood oxygen level-dependent…
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Anticorrelations in resting state networks without global signal regression
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  • Computer Science
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TLDR
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This work describes a specifically designed full workflow for the pre-processing of resting state functional Magnetic Resonance Imaging data and connectome, providing the neuroscience research community with a standardized framework for the construction of functional connectomes.
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Anticorrelations in resting state networks without global signal regression
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