Display options
Share it on

Clin Neurol Neurosurg. 2021 Aug;207:106765. doi: 10.1016/j.clineuro.2021.106765. Epub 2021 Jun 17.

A connectivity model of the anatomic substrates underlying ideomotor apraxia: A meta-analysis of functional neuroimaging studies.

Clinical neurology and neurosurgery

Christen M O'Neal, Syed A Ahsan, Nicholas B Dadario, R Dineth Fonseka, Isabella M Young, Allan Parker, B David Maxwell, Jacky T Yeung, Robert G Briggs, Charles Teo, Michael E Sughrue

Affiliations

  1. Department of Neurosurgery, University of Oklahoma Health Sciences Centre, Oklahoma City, OK, USA.
  2. Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, Australia.
  3. Rutgers Robert Wood Johnson School of Medicine, New Brunswick, NJ, USA.
  4. Cingulum Health, Sydney, Australia.
  5. Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, Australia. Electronic address: [email protected].

PMID: 34237682 DOI: 10.1016/j.clineuro.2021.106765

Abstract

BACKGROUND: Patients with ideomotor apraxia (IMA) present with selective impairments in higher-order motor cognition and execution without damage to any motor or sensory pathways. Although extensive research has been conducted to determine the regions of interest (ROIs) underlying these unique impairments, previous models are heterogeneous and may be further clarified based on their structural connectivity, which has been far less described.

OBJECTIVE: The goal of this research is to propose an anatomically concise network model for the neurophysiologic basis of IMA, specific to the voluntary pantomime, imitation and tool execution, based on intrinsic white matter connectivity.

METHODS: We utilized meta-analytic software to identify relevant ROIs in ideomotor apraxia as reported in the literature based on functional neuroimaging data with healthy participants. After generating an activation likelihood estimation (ALE) of relevant ROIs, cortical parcellations overlapping the ALE were used to construct an anatomically precise model of anatomic substrates using the parcellation scheme outlined by the Human Connectome Project (HCP). Deterministic tractography was then performed on 25 randomly selected, healthy HCP subjects to determine the structural connectivity underlying the identified ROIs.

RESULTS: 10 task-based fMRI studies met our inclusion criteria and the ALE analysis demonstrated 6 ROIs to constitute the IMA network: SCEF, FOP4, MIP, AIP, 7AL, and 7PC. These parcellations represent a fronto-parietal network consisting mainly of intra-parietal, U-shaped association fibers (40%) and long-range inferior fronto-occipital fascicle (IFOF) fibers (50%). These findings support previous functional models based on dual-stream motor processing.

CONCLUSION: We constructed a preliminary model demonstrating the underlying structural interconnectedness of anatomic substrates involved in higher-order motor functioning which is seen impaired in IMA. Our model provides support for previous dual-stream processing frameworks discussed in the literature, but further clarification is necessary with voxel-based lesion studies of IMA to further refine these findings.

Copyright © 2021 Elsevier B.V. All rights reserved.

Keywords: Dual stream; Ideomotor apraxia; Parcellation; Tractography

Publication Types