Planning deficits in Huntington's disease: A brain structural correlation by voxel-based morphometry

PLoS One. 2021 Mar 24;16(3):e0249144. doi: 10.1371/journal.pone.0249144. eCollection 2021.

Abstract

Introduction: Early Huntington's disease (HD) patients begin to show planning deficits even before motor alterations start to manifest. Generally, planning ability is associated with the functioning of anterior brain areas such as the medial prefrontal cortex. However, early HD neuropathology involves significant atrophy in the occipital and parietal cortex, suggesting that more posterior regions could also be involved in these planning deficits.

Objective: To identify brain regions associated with planning deficits in HD patients at an early clinical stage.

Materials and methods: Twenty-two HD-subjects genetically confirmed with incipient clinical manifestation and twenty healthy subjects were recruited. All participants underwent MRI T1 image acquisition as well as testing in the Stockings of Cambridge (SOC) task to measure planning ability. First, group comparison of SOC measures were performed. Then, correlation voxel-based morphometry analyses were done between gray matter degeneration and SOC performance in the HD group.

Results: Accuracy and efficiency planning scores correlated with gray matter density in right lingual gyrus, middle temporal gyrus, anterior cingulate gyrus, and paracingulate gyrus.

Conclusions: Our results suggest that planning deficits exhibited by early HD-subjects are related to occipital and temporal cortical degeneration in addition to the frontal areas deterioration.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Brain / diagnostic imaging
  • Brain / pathology*
  • Brain Mapping
  • Case-Control Studies
  • Female
  • Gray Matter / diagnostic imaging
  • Gray Matter / pathology
  • Gyrus Cinguli / diagnostic imaging
  • Gyrus Cinguli / pathology
  • Humans
  • Huntington Disease / pathology*
  • Image Processing, Computer-Assisted / methods*
  • Magnetic Resonance Imaging
  • Male
  • Middle Aged
  • Parietal Lobe / diagnostic imaging
  • Parietal Lobe / pathology

Grants and funding

This study was supported in part by CONACYT grant No. 220871 and No. A1-S-10669, PAPIIT-UNAM grant No. IN220019 to JFR, and CONACYT fellowship No. 574022/403010 to GRG. V. Gálvez received a grant "Fondo semilla 2019" from FCS-Universidad Panamericana.