Cargando…

Regional Cerebral Associations Between Psychometric Tests and Imaging Biomarkers in Alzheimer’s Disease

Recently, imaging biomarkers have gained importance for the characterization of patients with Alzheimer’s disease; however, the relationship between regional biomarker expression and cognitive function remains unclear. In our study, we investigated associations between scores on CERAD neuropsycholog...

Descripción completa

Detalles Bibliográficos
Autores principales: Hedderich, Dennis M., Drost, René, Goldhardt, Oliver, Ortner, Marion, Müller-Sarnowski, Felix, Diehl-Schmid, Janine, Zimmer, Claus, Förstl, Hans, Yakushev, Igor, Jahn, Thomas, Grimmer, Timo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438836/
https://www.ncbi.nlm.nih.gov/pubmed/32903760
http://dx.doi.org/10.3389/fpsyt.2020.00793
_version_ 1783572871041253376
author Hedderich, Dennis M.
Drost, René
Goldhardt, Oliver
Ortner, Marion
Müller-Sarnowski, Felix
Diehl-Schmid, Janine
Zimmer, Claus
Förstl, Hans
Yakushev, Igor
Jahn, Thomas
Grimmer, Timo
author_facet Hedderich, Dennis M.
Drost, René
Goldhardt, Oliver
Ortner, Marion
Müller-Sarnowski, Felix
Diehl-Schmid, Janine
Zimmer, Claus
Förstl, Hans
Yakushev, Igor
Jahn, Thomas
Grimmer, Timo
author_sort Hedderich, Dennis M.
collection PubMed
description Recently, imaging biomarkers have gained importance for the characterization of patients with Alzheimer’s disease; however, the relationship between regional biomarker expression and cognitive function remains unclear. In our study, we investigated associations between scores on CERAD neuropsychological assessment battery (CERAD-NAB) subtests with regional glucose metabolism, cortical thickness and amyloid deposition in patients with early Alzheimer’s disease (AD) using [18F]-fluorodeoxyglucose (FDG), structural MRI, and 11C-Pittsburgh Compound B (PiB) positron emission tomography (PET), respectively. A total of 76 patients (mean age 68.4 ± 8.5 years, 57.9% male) with early AD (median global clinical dementia rating (CDR) score = 0.5, range: 0.5–2.0) were studied. Associations were investigated by correlation and multiple regression analyses. Scores on cognitive subtests were most closely predicted by regional glucose metabolism with explained variance up to a corrected R² of 0.518, followed by cortical thickness and amyloid deposition. Prediction of cognitive subtest performance was increased up to a corrected R² of 0.622 for Word List—Delayed Recall, when biomarker information from multiple regions and multiple modalities were included. For verbal, visuoconstructive and mnestic domains the closest associations with FDG-PET imaging were found in the left lateral temporal lobe, right parietal lobe, and posterior cingulate cortex, respectively. Decreased cortical thickness in parietal regions was most predictive of impaired subtest performance. Remarkably, cerebral amyloid deposition significantly predicted cognitive function in about half of the subtests but with smaller extent of variance explained (corrected R² ≤ 0.220). We conclude that brain metabolism and atrophy affect cognitive performance in a regionally distinct way. Significant predictions of cognitive function by PiB-PET in half of CERAD-NAB subtests suggest functional relevance even in symptomatic patients with AD, challenging the concept of plateauing cortical amyloid deposition early in the disease course. Our results underscore the complex spatial relationship between different imaging biomarkers.
format Online
Article
Text
id pubmed-7438836
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-74388362020-09-03 Regional Cerebral Associations Between Psychometric Tests and Imaging Biomarkers in Alzheimer’s Disease Hedderich, Dennis M. Drost, René Goldhardt, Oliver Ortner, Marion Müller-Sarnowski, Felix Diehl-Schmid, Janine Zimmer, Claus Förstl, Hans Yakushev, Igor Jahn, Thomas Grimmer, Timo Front Psychiatry Psychiatry Recently, imaging biomarkers have gained importance for the characterization of patients with Alzheimer’s disease; however, the relationship between regional biomarker expression and cognitive function remains unclear. In our study, we investigated associations between scores on CERAD neuropsychological assessment battery (CERAD-NAB) subtests with regional glucose metabolism, cortical thickness and amyloid deposition in patients with early Alzheimer’s disease (AD) using [18F]-fluorodeoxyglucose (FDG), structural MRI, and 11C-Pittsburgh Compound B (PiB) positron emission tomography (PET), respectively. A total of 76 patients (mean age 68.4 ± 8.5 years, 57.9% male) with early AD (median global clinical dementia rating (CDR) score = 0.5, range: 0.5–2.0) were studied. Associations were investigated by correlation and multiple regression analyses. Scores on cognitive subtests were most closely predicted by regional glucose metabolism with explained variance up to a corrected R² of 0.518, followed by cortical thickness and amyloid deposition. Prediction of cognitive subtest performance was increased up to a corrected R² of 0.622 for Word List—Delayed Recall, when biomarker information from multiple regions and multiple modalities were included. For verbal, visuoconstructive and mnestic domains the closest associations with FDG-PET imaging were found in the left lateral temporal lobe, right parietal lobe, and posterior cingulate cortex, respectively. Decreased cortical thickness in parietal regions was most predictive of impaired subtest performance. Remarkably, cerebral amyloid deposition significantly predicted cognitive function in about half of the subtests but with smaller extent of variance explained (corrected R² ≤ 0.220). We conclude that brain metabolism and atrophy affect cognitive performance in a regionally distinct way. Significant predictions of cognitive function by PiB-PET in half of CERAD-NAB subtests suggest functional relevance even in symptomatic patients with AD, challenging the concept of plateauing cortical amyloid deposition early in the disease course. Our results underscore the complex spatial relationship between different imaging biomarkers. Frontiers Media S.A. 2020-08-13 /pmc/articles/PMC7438836/ /pubmed/32903760 http://dx.doi.org/10.3389/fpsyt.2020.00793 Text en Copyright © 2020 Hedderich, Drost, Goldhardt, Ortner, Müller-Sarnowski, Diehl-Schmid, Zimmer, Förstl, Yakushev, Jahn and Grimmer http://creativecommons.org/licenses/by/4.0/ 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.
spellingShingle Psychiatry
Hedderich, Dennis M.
Drost, René
Goldhardt, Oliver
Ortner, Marion
Müller-Sarnowski, Felix
Diehl-Schmid, Janine
Zimmer, Claus
Förstl, Hans
Yakushev, Igor
Jahn, Thomas
Grimmer, Timo
Regional Cerebral Associations Between Psychometric Tests and Imaging Biomarkers in Alzheimer’s Disease
title Regional Cerebral Associations Between Psychometric Tests and Imaging Biomarkers in Alzheimer’s Disease
title_full Regional Cerebral Associations Between Psychometric Tests and Imaging Biomarkers in Alzheimer’s Disease
title_fullStr Regional Cerebral Associations Between Psychometric Tests and Imaging Biomarkers in Alzheimer’s Disease
title_full_unstemmed Regional Cerebral Associations Between Psychometric Tests and Imaging Biomarkers in Alzheimer’s Disease
title_short Regional Cerebral Associations Between Psychometric Tests and Imaging Biomarkers in Alzheimer’s Disease
title_sort regional cerebral associations between psychometric tests and imaging biomarkers in alzheimer’s disease
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438836/
https://www.ncbi.nlm.nih.gov/pubmed/32903760
http://dx.doi.org/10.3389/fpsyt.2020.00793
work_keys_str_mv AT hedderichdennism regionalcerebralassociationsbetweenpsychometrictestsandimagingbiomarkersinalzheimersdisease
AT drostrene regionalcerebralassociationsbetweenpsychometrictestsandimagingbiomarkersinalzheimersdisease
AT goldhardtoliver regionalcerebralassociationsbetweenpsychometrictestsandimagingbiomarkersinalzheimersdisease
AT ortnermarion regionalcerebralassociationsbetweenpsychometrictestsandimagingbiomarkersinalzheimersdisease
AT mullersarnowskifelix regionalcerebralassociationsbetweenpsychometrictestsandimagingbiomarkersinalzheimersdisease
AT diehlschmidjanine regionalcerebralassociationsbetweenpsychometrictestsandimagingbiomarkersinalzheimersdisease
AT zimmerclaus regionalcerebralassociationsbetweenpsychometrictestsandimagingbiomarkersinalzheimersdisease
AT forstlhans regionalcerebralassociationsbetweenpsychometrictestsandimagingbiomarkersinalzheimersdisease
AT yakushevigor regionalcerebralassociationsbetweenpsychometrictestsandimagingbiomarkersinalzheimersdisease
AT jahnthomas regionalcerebralassociationsbetweenpsychometrictestsandimagingbiomarkersinalzheimersdisease
AT grimmertimo regionalcerebralassociationsbetweenpsychometrictestsandimagingbiomarkersinalzheimersdisease