van Loenhoud, AC;
Wink, AM;
Groot, C;
Verfaillie, SCJ;
Twisk, J;
Barkhof, F;
van Berckel, B;
... Ossenkoppele, R; + view all
(2017)
A Neuroimaging Approach to Capture Cognitive Reserve: Application to Alzheimer's Disease.
Human Brain Mapping
, 38
(9)
pp. 4703-4715.
10.1002/hbm.23695.
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Abstract
Cognitive reserve (CR) explains interindividual differences in the ability to maintain cognitive function in the presence of neuropathology. We developed a neuroimaging approach including a measure of brain atrophy and cognition to capture this construct. In a group of 511 Alzheimer's disease (AD) biomarker‐positive subjects in different stages across the disease spectrum, we performed 3T magnetic resonance imaging and predicted gray matter (GM) volume in each voxel based on cognitive performance (i.e. a global cognitive composite score), adjusted for age, sex, disease stage, premorbid brain size (i.e. intracranial volume) and scanner type. We used standardized individual differences between predicted and observed GM volume (i.e. W‐scores) as an operational measure of CR. To validate this method, we showed that education correlated with mean W‐scores in whole‐brain (r = −0.090, P < 0.05) and temporoparietal (r = −0.122, P < 0.01) masks, indicating that higher education was associated with more CR (i.e. greater atrophy than predicted from cognitive performance). In a voxel‐wise analysis, this effect was most prominent in the right inferior and middle temporal and right superior lateral occipital cortex (P < 0.05, corrected for multiple comparisons). Furthermore, survival analyses among subjects in the pre‐dementia stage revealed that the W‐scores predicted conversion to more advanced disease stages (whole‐brain: hazard ratio [HR] = 0.464, P < 0.05; temporoparietal: HR = 0.397, P < 0.001). Our neuroimaging approach captures CR with high anatomical detail and at an individual level. This standardized method is applicable to various brain diseases or CR proxies and can flexibly incorporate different neuroimaging modalities and cognitive parameters, making it a promising tool for scientific and clinical purposes.
| Type: | Article |
|---|---|
| Title: | A Neuroimaging Approach to Capture Cognitive Reserve: Application to Alzheimer's Disease |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/hbm.23695 |
| Publisher version: | https://doi.org/10.1002/hbm.23695 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Neurosciences, Neuroimaging, Radiology, Nuclear Medicine & Medical Imaging, Neurosciences & Neurology, cognitive reserve, Alzheimer's disease, magnetic resonance imaging (MRI), global cognition, education, voxel-based morphometry, Cerebrospinal-Fluid Biomarkers, Gray-Matter Loss, Association Workgroups, Diagnostic Guidelines, National Institute, Physical-Activity, Brain Reserve, Cortical Thickness, Education, Dementia |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10048967 |
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