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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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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...
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Mapping human brain lesions and their functional consequences.

Hans-Otto Karnath1, Christoph Sperber2, Christopher Rorden3

  • 1Centre of Neurology, Division of Neuropsychology, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany; Department of Psychology, University of South Carolina, Columbia, SC 29208, USA.

Neuroimage
|October 19, 2017
PubMed
Summary
This summary is machine-generated.

Brain lesion studies reveal necessary brain functions, but new methods enhance voxel-based lesion behavior mapping (VLBM). These advanced techniques complement VLBM for deeper insights into brain architecture and clinical applications.

Keywords:
Cognitive neurologyHumanLesion analysisMLBMMachine learningMass-univariateMultivariate lesion behavior mappingNetworkNeuroanatomyNeuropsychologyNon-parametric mappingStrokeVLBMVLSMVoxel-based lesion symptom mapping

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Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Brain Mapping

Background:

  • Neuroscience traditionally infers brain function from lesion-behavior relationships, offering causal insights beyond correlative methods.
  • Lesion-based analyses are crucial for understanding clinical deficits and brain architecture.
  • Voxel-based lesion behavior mapping (VLBM) has become a key method in human brain architecture research.

Purpose of the Study:

  • To review how voxel-based lesion behavior mapping (VLBM) advances our understanding of functional brain architecture.
  • To discuss the limitations of VLBM's mass-univariate approach.
  • To introduce and evaluate novel methods that supplement traditional VLBM.

Main Methods:

  • Review of existing literature on lesion-behavior mapping and voxel-based lesion behavior mapping (VLBM).
  • Overview of emerging techniques: specialized imaging, integration with connectome data, and multivariate analyses.
  • Discussion of how these new methods complement traditional VLBM.

Main Results:

  • VLBM significantly improves knowledge of functional brain architecture but is limited by its mass-univariate nature.
  • New methods, including advanced imaging, connectome data integration, and multivariate analyses, offer complementary approaches.
  • These synergistic tools enhance the investigation of brain function and clinical deficits.

Conclusions:

  • Advanced methods are presented as complements, not replacements, to traditional VLBM.
  • The integration of these techniques promises richer insights into brain function and clinical applications.
  • These evolving methods hold significant potential for cognitive neuroscience and clinical practice.