Contribution of insula in Parkinson's disease: A quantitative meta-analysis study

Marion Criaud, Leigh Christopher, Philippe Boulinguez, Benedicte Ballanger, Anthony E. Lang, Sang S. Cho, Sylvain Houle, Antonio P. Strafella

Research output: Contribution to journalArticle

Abstract

The insula region is known to be an integrating hub interacting with multiple brain networks involved in cognitive, affective, sensory, and autonomic processes. There is growing evidence suggesting that this region may have an important role in Parkinson's disease (PD). Thus, to investigate the functional organization of the insular cortex and its potential role in parkinsonian features, we used a coordinate-based quantitative meta-analysis approach, the activation likelihood estimation. A total of 132 insular foci were selected from 96 published experiments comprising the five functional categories: cognition, affective/behavioral symptoms, bodily awareness/autonomic function, sensorimotor function, and nonspecific resting functional changes associated with the disease. We found a significant convergence of activation maxima related to PD in different insular regions including anterior and posterior regions bilaterally. This study provides evidence of an important functional distribution of different domains within the insular cortex in PD, particularly in relation to nonmotor aspects, with an influence of medication effect.

Original languageEnglish (US)
Pages (from-to)1375-1392
Number of pages18
JournalHuman Brain Mapping
Volume37
Issue number4
DOIs
StatePublished - Apr 1 2016
Externally publishedYes

Keywords

  • Behavior
  • Cognition
  • Dopamine
  • Insula
  • Nonmotor symptoms
  • Parkinson's disease

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

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    Criaud, M., Christopher, L., Boulinguez, P., Ballanger, B., Lang, A. E., Cho, S. S., Houle, S., & Strafella, A. P. (2016). Contribution of insula in Parkinson's disease: A quantitative meta-analysis study. Human Brain Mapping, 37(4), 1375-1392. https://doi.org/10.1002/hbm.23109