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Related Experiment Video

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A surface-based technique for mapping homotopic interhemispheric connectivity: Development, characterization, and

Sean M Tobyne1, Daria Boratyn1, Jessica A Johnson2

  • 1Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts.

Human Brain Mapping
|May 25, 2016
PubMed
Summary
This summary is machine-generated.

We developed a new method called surface-based homotopic interhemispheric connectivity (sHIC) to accurately measure brain connectivity. This reliable technique reveals new patterns of brain networks and shows potential as a biomarker for neurological diseases.

Keywords:
corpus callosumfunctional connectivityhumanmultiple sclerosisresting state

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Area of Science:

  • Neuroscience
  • Brain Imaging
  • Functional Connectivity

Background:

  • The human brain exhibits high interhemispheric connectivity between homologous regions.
  • Cortical homotopic organization varies, with high connectivity in regions sharing structural connections or common inputs.
  • Disruptions in homotopic connectivity can result from damage to brain regions or their connections.

Purpose of the Study:

  • To introduce and validate a computationally efficient technique, surface-based homotopic interhemispheric connectivity (sHIC).
  • To improve the spatial specificity and accuracy of estimating cortical interhemispheric connectivity using resting-state functional connectivity.
  • To assess the reliability and characterize sHIC in a large cohort.

Main Methods:

  • Leveraged surface-based registration and processing techniques for enhanced connectivity analysis.
  • Employed resting-state functional connectivity to estimate interhemispheric connections.
  • Validated the technique's reliability within and across subjects using a dataset of nearly 1000 individuals.

Main Results:

  • sHIC demonstrated high reliability within and across subjects.
  • Confirmed increased interhemispheric connectivity in primary sensory regions.
  • Revealed a novel rostro-caudal functional network pattern of sHIC.
  • Demonstrated a relationship between sHIC and corpus callosum atrophy in multiple sclerosis (r=0.2979, p=0.0461).

Conclusions:

  • sHIC is a sensitive and reliable measure of cortical homotopy.
  • The technique offers improved spatial specificity and accuracy in assessing brain connectivity.
  • sHIC holds potential as a valuable biomarker for diagnosing and monitoring neurologic diseases.