Causal Evidence for the Multiple Demand Network in Change Detection: Auditory Mismatch Magnetoencephalography across Focal Neurodegenerative Diseases

Thomas E. Cope*, Laura E. Hughes, Holly N. Phillips, Natalie E. Adams, Amirhossein Jafarian, David Nesbitt, Moataz Assem, Alexandra Woolgar, John Duncan, James B. Rowe

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

The multiple demand (MD) system is a network of fronto-parietal brain regions active during the organization and control of diverse cognitive operations. It has been argued that this activation may be a nonspecific signal of task difficulty. However, here we provide convergent evidence for a causal role for the MD network in the “simple task” of automatic auditory change detection, through the impairment of top-down control mechanisms. We employ independent structure-function mapping, dynamic causal modeling (DCM), and frequency-resolved functional connectivity analyses of MRI and magnetoencephalography (MEG) from 75 mixed-sex human patients across four neurodegenerative syndromes [behavioral variant fronto-temporal dementia (bvFTD), nonfluent variant primary progressive aphasia (nfvPPA), posterior cortical atrophy (PCA), and Alzheimer’s disease mild cognitive impairment with positive amyloid imaging (ADMCI)] and 48 age-matched controls. We show that atrophy of any MD node is sufficient to impair auditory neurophysiological response to change in frequency, location, intensity, continuity, or duration. There was no similar association with atrophy of the cingulo-opercular, salience or language networks, or with global atrophy. MD regions displayed increased functional but decreased effective connectivity as a function of neurodegeneration, suggesting partially effective compensation. Overall, we show that damage to any of the nodes of the MD network is sufficient to impair top-down control of sensation, providing a common mechanism for impaired change detection across dementia syndromes.

Original languageEnglish
Pages (from-to)3197-3215
Number of pages19
JournalJournal of Neuroscience
Volume42
Issue number15
DOIs
Publication statusPublished - 13 Apr 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
Copyright © 2022 Cope et al.

Keywords

  • Alzheimer’s disease
  • bvFTD
  • dementia
  • dynamic causal modeling
  • mismatch negativity
  • multiple demand

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