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Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
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Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

Power in Voxel-based lesion-symptom mapping.

Daniel Y Kimberg1, H Branch Coslett, Myrna F Schwartz

  • 1Department of Neurology, University of Pennsylvania, PA 19104, USA. kimberg@mail.med.upenn.edu

Journal of Cognitive Neuroscience
|June 23, 2007
PubMed
Summary

Voxel-based lesion analysis helps understand brain injury effects by correlating brain damage with behavior. This study introduces methods to improve statistical power in these crucial lesion studies.

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Area of Science:

  • Neuroimaging
  • Neuroscience
  • Brain Injury Research

Background:

  • Lesion analysis is vital for understanding brain function and behavior in brain-injured individuals.
  • Voxel-based methods, adapted from functional neuroimaging, are increasingly used for lesion-behavior correlation mapping.
  • Statistical power is a significant concern in lesion studies, potentially varying regionally due to lesion distribution.

Purpose of the Study:

  • To outline general considerations for voxel-based lesion analysis methods.
  • To characterize the application of a nonparametric permutation test for lesion studies.
  • To present methods for regional power analysis in brain lesion research.

Main Methods:

  • Adaptation of nonparametric permutation tests from functional neuroimaging for lesion-behavior correlation.
  • Development of regional power analysis techniques tailored for voxel-based lesion studies.
  • Consideration of general methodological aspects for voxel-based lesion mapping.

Main Results:

  • The study provides a framework for applying voxel-based methods in lesion analysis.
  • It details the utility of a specific permutation test for identifying lesion-behavior links.
  • Methods for assessing and improving statistical power in different brain regions are presented.

Conclusions:

  • Voxel-based lesion analysis offers valuable insights complementing functional neuroimaging.
  • The proposed methods enhance the statistical rigor and power of lesion-behavior correlation studies.
  • This work supports more robust investigations into the effects of brain lesions on behavior.