Page 110 - MEGIN Book Of Abstracts - 2023

Event-related potentials and magnetic fields, Preclini- tive biological tools to assess novel therapeutics. Here
cal and clinical research, Resting-state condition, The we use behavioral variant frontotemporal dementia
Alzheimer's Association International Society to Advance (bvFTD) as a model disease. We demonstrate that
Alzheimer's Research and Treatment (ISTAART) inversion of canonical microcircuit models to non-
invasive human magnetoencephalography, using
Neurobiology of aging (2020), Vol. 85 (31739167) (77 dynamic causal modeling, can identify the regional-
citations) and laminar-specificity of bvFTD pathophysiology, and
their parameters can accurately differentiate patients
from matched healthy controls. Using such models, we
In Vivo Assay of Cortical Microcircuitry in show that changes in local coupling in frontotemporal
Frontotemporal Dementia: A Platform for dementia underlie the failure to adequately establish
Experimental Medicine Studies (2021) sensory predictions, leading to altered prediction
error responses in a cortical information-processing
Shaw, Alexander D; Hughes, Laura E; Moran, Rosalyn; hierarchy. Using machine learning, this model-based
Coyle-Gilchrist, Ian; Rittman, Tim; Rowe, James B approach provided greater case-control classification
accuracy than conventional evoked cortical responses.
Cardiff University Brain Research Imaging Centre, Cardiff We suggest that this approach provides an in vivo plat-
University, Cardiff, UK; Medical Research Council, Cognition form for testing mechanistic hypotheses about disease
and Brain, Sciences Unit, Cambridge, UK; Department of Neu- progression and pharmacotherapeutics.
roimaging, Institute of Psychiatry, Psychology & Neuroscience,
King's College London, London, UK; Department of Clinical Keywords: DCM, MEG, dementia, machine learning, micro-
Neurosciences, University of Cambridge, Cambridge, UK circuitry

ABSTRACT The analysis of neural circuits can provide Cerebral cortex (New York, N.Y.: 1991) (2021), Vol. 31, No. 3
crucial insights into the mechanisms of neurodegen- (31216360) (12 citations)
eration and dementias, and offer potential quantita-

 ontents  Index 89
C