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Grey matter and cognitive patterns in cognitive impaired subjects using CSF biomarker cut-offs
Stockholm University, Faculty of Social Sciences, Aging Research Center (ARC), (together with KI).
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2012 (English)In: Journal of Alzheimer's Disease, ISSN 1387-2877, Vol. 29, no 4, 741-749 p.Article in journal (Refereed) Published
Abstract [en]

The aim of this study was to investigate brain tissue volumes, grey matter (GM) distribution, and cognitive performance for cognitively impaired subjects using cerebrospinal fluid (CSF) biomarker cut-offs as grouping criteria. 41 subjects attending the Memory Clinic, Karolinska University Hospital, Huddinge, Sweden, were divided into groups based on normal or abnormal CSF levels of Aβ1-42, t-tau, and p-tau181. SIENAX algorithms were employed for brain tissue volumes estimation and voxel-based morphometry (VBM) for mapping the differences in GM patterns. VBM revealed significant lower GM volumes in temporo-parietal, occipital, and prefrontal cortices for those subjects belonging to abnormal CSF t-tau and p-tau181 groups. No differences were found between groups according to CSF Aβ1-42 cut-offs. Patients with abnormal CSF p-tau181 showed lower cognitive performance compared to those with normal levels. Patients with abnormal levels of CSF tau (but not Aβ1-42) showed an Alzheimer's disease-like pattern for both GM distribution and cognitive profile, compared to those with normal levels. These results support the hypothesis that CSF t-tau or p-tau181 levels may be of direct value for the evaluation of disease severity.

Place, publisher, year, edition, pages
2012. Vol. 29, no 4, 741-749 p.
Keyword [en]
Alzheimer's disease, CSF biomarkers, grey matter, MRI, voxel based morphometry
National Category
Gerontology, specializing in Medical and Health Sciences Neurosciences
URN: urn:nbn:se:su:diva-85317DOI: 10.3233/JAD-2012-111553PubMedID: 22330819OAI: diva2:585386
Available from: 2013-01-10 Created: 2013-01-08 Last updated: 2013-02-11Bibliographically approved

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Journal of Alzheimer's Disease
Gerontology, specializing in Medical and Health SciencesNeurosciences

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