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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |