Carregant...
Miniatura

Tipus de document

Article

Versió

Versió publicada

Data de publicació

Tots els drets reservats

Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/226185

Grey matter and cognitive patterns in cognitive impaired subjects using CSF biomarker cut-offs

Títol de la revista

Director/Tutor

ISSN de la revista

Títol del volum

Resum

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.

Citació

Citació

MIRALBELL BLANCH, Júlia, SPULBER, Gabriela, HOOSHMAND, Babak, BESGA, Ariadna, MATARÓ SERRAT, Maria, CEDAZO-MÍNGUEZ, Ángel, KIVIPELTO, Miia, WAHLUND, Lars-olof. Grey matter and cognitive patterns in cognitive impaired subjects using CSF biomarker cut-offs. _Journal of Alzheimer's Disease_. 2012. Vol. 29, núm. 4, pàgs. 741-749. [consulta: 12 de febrer de 2026]. ISSN: 1387-2877. [Disponible a: https://hdl.handle.net/2445/226185]

Exportar metadades

JSON - METS

Compartir registre