Memory Performance Correlates of Hippocampal Subfield Volume in Mild Cognitive Impairment Subtype

Kathryn Broadhouse; Loren Mowszowski; Shantel Duffy; Isabella Leung; Nathan Cross; Michael J Valenzuela; Sharon L Naismith

doi:10.3389/fnbeh.2019.00259

Back

Memory Performance Correlates of Hippocampal Subfield Volume in Mild Cognitive Impairment Subtype

Journal article

Open access

Peer reviewed

Memory Performance Correlates of Hippocampal Subfield Volume in Mild Cognitive Impairment Subtype

Kathryn Broadhouse, Loren Mowszowski, Shantel Duffy, Isabella Leung, Nathan Cross, Michael J Valenzuela and Sharon L Naismith

Frontiers in Behavioural Neuroscience, Vol.13, 259

2019

DOI: https://doi.org/10.3389/fnbeh.2019.00259

Appears in UniSC Diversity and Inclusion Research Collection

Files and links (2)

pdf

PDF - Published Version (Open Access)2.35 MBDownload View

Published VersionPDF - Published Version (Open Access)CC BY V4.0, Open Access

url

https://doi.org/10.3389/fnbeh.2019.00259View

Published Version

Abstract

mild cognitive impairment

hippocampus

subfields

memory

aging

neuroimaging

UniSC Diversity Area - Disability and Inclusion

UniSC Diversity Area - Life Stages

The increased understanding that neuropathology begins decades before symptom onset, has led to the conceptualization and widespread utilization of Mild Cognitive Impairment (MCI) as an important transitional state between healthy aging and dementia. Further subcategorization to MCI subtype has led to more distinct prognoses and it is widely considered that amnestic and non-amnestic MCI (aMCI, naMCI) likely have distinct pathophysiologies. Yet, accurately classification remains contentious. Here, we differentiate hippocampal subfield volume between subtypes, diagnosed according to stringent clinical consensus criteria, where aMCI is characterized based on deficits in delayed recall (rather than encoding). We then identify memory performance correlates to subfield volume and associations with long-term cognitive performance and outcome. 3D T1-weighted structural MRI was acquired in 142 participants recruited from the Healthy Brain Aging (HBA) Clinic and diagnosed with aMCI (n = 38), naMCI (n = 84) or subjective memory complaints (SMC; n = 20). T1-weighted datasets were processed with the cortical and hippocampal subfield processing streams in FreeSurfer (v6.0). Subfield volumes, and associations with baseline and longitudinal objective memory scores were then examined. Subfield volumes were found to differentiate clinical profiles: subiculum, CA1, CA4 and dentate gyrus volumes were significantly reduced in aMCI compared to both naMCI and SMC. CA1 subfield volume was shown to predict concurrent memory performance in aMCI, while dentate gyrus volume significantly predicted longitudinal verbal learning and memory decline in the entire cohort. Our findings demonstrate that using a more stringent diagnostic approach to characterizing aMCI is well justified, as delayed recall deficits are strongly linked to underlying volumetric subfield reductions in CA1, CA4 and the dentate gyrus, subfields known to be associated with mnemonic processes. Further research is now warranted to replicate these findings in other MCI samples.

Details

Title: Memory Performance Correlates of Hippocampal Subfield Volume in Mild Cognitive Impairment Subtype
Authors: Kathryn Broadhouse (Author) - University of the Sunshine Coast
Loren Mowszowski (Author) - University of Sydney
Shantel Duffy (Author) - University of Sydney
Isabella Leung (Author) - University of Sydney
Nathan Cross (Author) - University of Sydney
Michael J Valenzuela (Author) - University of Sydney
Sharon L Naismith (Author) - University of Sydney
Publication details: Frontiers in Behavioural Neuroscience, Vol.13, 259
Publisher: Frontiers Research Foundation
Date published: 2019
DOI: 10.3389/fnbeh.2019.00259
ISSN: 1662-5153
Copyright note: Copyright © 2019 Broadhouse, Mowszowski, Duffy, Leung, Cross, Valenzuela and Naismith. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Organisation Unit: School of Science and Engineering - Legacy; School of Health - Nursing; University of the Sunshine Coast, Queensland; School of Health and Sport Sciences - Legacy
Language: English
Record Identifier: 99451138602621
Output Type: Journal article

Metrics

19 File views/ downloads

96 Record Views

39 Times Cited - Web of Science

See more details

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration
Web Of Science research areas: Behavioral Sciences; Neurosciences

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

Source: InCites