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Related Experiment Video

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Characterizing functional modules in the human thalamus: coactivation-based parcellation and systems-level functional

Ole J Boeken1, Edna C Cieslik2,3, Robert Langner2,3

  • 1Faculty of Life Sciences, Department of Molecular Psychology, Humboldt-Universität Zu Berlin, Rudower Chaussee 18, 12489, Berlin, Germany. olejonas.boeken@gmail.com.

Brain Structure & Function
|December 22, 2022
PubMed
Summary
This summary is machine-generated.

Researchers developed a new decoding method to map the human thalamus

Keywords:
ALE meta-analysisBrainMap databaseNeurosynthStructure–Function relationshipsSystems-level decodingThalamus

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Systems Neuroscience

Background:

  • The human thalamus is crucial for relaying sensory information and facilitating brain-wide communication.
  • Its complete functional repertoire and relationship with its internal anatomical structure remain incompletely understood.
  • The thalamus's role as a central hub in the human connectome suggests its function is intertwined with interconnected brain regions.

Purpose of the Study:

  • To develop and apply a novel systems-level Bayesian reverse inference decoding method to characterize thalamic function.
  • To complement traditional neuroinformatics approaches with a network-based account of thalamic function.
  • To identify novel structure-function relationships within the thalamus and its connected brain networks.

Main Methods:

  • Utilized task-constrained meta-analytic connectivity-based parcellation (MACM-CBP) to define thalamic subregions as seed regions.
  • Applied a systems-level Bayesian reverse inference decoding approach, considering the functional repertoire of co-activated brain regions.
  • Analyzed thalamic subregions in conjunction with their functionally connected cortical regions.

Main Results:

  • Confirmed known thalamic structure-function relationships from animal and clinical studies.
  • Revealed novel associations between thalamic subregions and functions including language, memory, and locomotion.
  • Identified distinct large-scale brain systems involved in autobiographical memory and nociception using the novel decoding method.

Conclusions:

  • The developed systems-level decoding approach effectively detects previously unknown structure-function relationships at the brain network level.
  • This method provides valuable insights into the thalamus's complex functional repertoire and its network interactions.
  • The findings offer viable starting points for future research into thalamic function and brain connectivity.