Longitudinal neuroanatomical and cognitive progression of posterior cortical atrophy

Author:

Firth Nicholas C12,Primativo Silvia13,Marinescu Razvan-Valentin2,Shakespeare Timothy J1,Suarez-Gonzalez Aida14,Lehmann Manja15,Carton Amelia1,Ocal Dilek1,Pavisic Ivanna1,Paterson Ross W1,Slattery Catherine F1,Foulkes Alexander J M1,Ridha Basil H1ORCID,Gil-Néciga Eulogio4,Oxtoby Neil P2ORCID,Young Alexandra L2,Modat Marc6,Cardoso M Jorge6,Ourselin Sebastien6,Ryan Natalie S1,Miller Bruce L5,Rabinovici Gil D5,Warrington Elizabeth K1,Rossor Martin N1,Fox Nick C1,Warren Jason D1,Alexander Daniel C2,Schott Jonathan M1,Yong Keir X X1,Crutch Sebastian J1

Affiliation:

1. Dementia Research Centre, Institute of Neurology, University College London, 8–11 Queen Square, London, UK

2. Centre for Medical Image Computing, Department of Computer Science, University College London, Gower Street, London, UK

3. Department of Human Science, LUMSA University, Via della Traspontina, 21, Rome, Italy

4. Department of Neurology, University Hospital Virgen del Rocio, Seville, Spain

5. Memory and Aging Center, University of California San Francisco, San Francisco, California, USA

6. School of Biomedical Engineering and Imaging Sciences, King's College London, UK

Abstract

Abstract Posterior cortical atrophy is a clinico-radiological syndrome characterized by progressive decline in visual processing and atrophy of posterior brain regions. With the majority of cases attributable to Alzheimer’s disease and recent evidence for genetic risk factors specifically related to posterior cortical atrophy, the syndrome can provide important insights into selective vulnerability and phenotypic diversity. The present study describes the first major longitudinal investigation of posterior cortical atrophy disease progression. Three hundred and sixty-one individuals (117 posterior cortical atrophy, 106 typical Alzheimer’s disease, 138 controls) fulfilling consensus criteria for posterior cortical atrophy-pure and typical Alzheimer’s disease were recruited from three centres in the UK, Spain and USA. Participants underwent up to six annual assessments involving MRI scans and neuropsychological testing. We constructed longitudinal trajectories of regional brain volumes within posterior cortical atrophy and typical Alzheimer’s disease using differential equation models. We compared and contrasted the order in which regional brain volumes become abnormal within posterior cortical atrophy and typical Alzheimer’s disease using event-based models. We also examined trajectories of cognitive decline and the order in which different cognitive tests show abnormality using the same models. Temporally aligned trajectories for eight regions of interest revealed distinct (P < 0.002) patterns of progression in posterior cortical atrophy and typical Alzheimer’s disease. Patients with posterior cortical atrophy showed early occipital and parietal atrophy, with subsequent higher rates of temporal atrophy and ventricular expansion leading to tissue loss of comparable extent later. Hippocampal, entorhinal and frontal regions underwent a lower rate of change and never approached the extent of posterior cortical involvement. Patients with typical Alzheimer’s disease showed early hippocampal atrophy, with subsequent higher rates of temporal atrophy and ventricular expansion. Cognitive models showed tests sensitive to visuospatial dysfunction declined earlier in posterior cortical atrophy than typical Alzheimer’s disease whilst tests sensitive to working memory impairment declined earlier in typical Alzheimer’s disease than posterior cortical atrophy. These findings indicate that posterior cortical atrophy and typical Alzheimer’s disease have distinct sites of onset and different profiles of spatial and temporal progression. The ordering of disease events both motivates investigation of biological factors underpinning phenotypic heterogeneity, and informs the selection of measures for clinical trials in posterior cortical atrophy.

Funder

ESRC/NIHR

EPSRC

EPSRC Centre For Doctoral Training in Medical Imaging

MRC

ARUK

Brain Research Trust

European Union’s Horizon 2020 research and innovation programme

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Neurology (clinical)

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