| Home > Publications Database > MRI-based basal forebrain atrophy and volumetric signatures associated with limbic TDP-43 compared to Alzheimer's disease pathology. > print |
| 001 | 257341 | ||
| 005 | 20240112171705.0 | ||
| 024 | 7 | _ | |a 10.1016/j.nbd.2023.106070 |2 doi |
| 024 | 7 | _ | |a pmid:36898615 |2 pmid |
| 024 | 7 | _ | |a 0969-9961 |2 ISSN |
| 024 | 7 | _ | |a 1095-953X |2 ISSN |
| 024 | 7 | _ | |a altmetric:144009707 |2 altmetric |
| 037 | _ | _ | |a DZNE-2023-00410 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 570 |
| 100 | 1 | _ | |a Teipel, Stefan |0 P:(DE-2719)2000026 |b 0 |e First author |u dzne |
| 245 | _ | _ | |a MRI-based basal forebrain atrophy and volumetric signatures associated with limbic TDP-43 compared to Alzheimer's disease pathology. |
| 260 | _ | _ | |a [Amsterdam] |c 2023 |b Elsevier |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1680689152_8248 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 500 | _ | _ | |a CC BY-NC-ND |
| 520 | _ | _ | |a It is not clear to which degree limbic TDP-43 pathology associates with a cholinergic deficit in the absence of Alzheimer's disease (AD) pathology.Replicate and extend recent evidence on cholinergic basal forebrain atrophy in limbic TDP-43 and evaluate MRI based patterns of atrophy as a surrogate marker for TDP-43.We studied ante-mortem MRI data of 11 autopsy cases with limbic TDP-43 pathology, 47 cases with AD pathology, and 26 mixed AD/TDP-43 cases from the ADNI autopsy sample, and 17 TDP-43, 170 AD, and 58 mixed AD/TDP-43 cases from the NACC autopsy sample. Group differences in basal forebrain and other brain volumes of interest were assessed using Bayesian ANCOVA. We assessed the diagnostic utility of MRI based patterns of brain atrophy using voxel-based receiver operating characteristics and random forest analyses.In the NACC sample, we found moderate evidence for the absence of a difference in basal forebrain volumes between AD, TDP-43, and mixed pathologies (Bayes factor(BF)10 = 0.324), and very strong evidence for lower hippocampus volume in TDP-43 and mixed cases compared with AD cases (BF10 = 156.1). The ratio of temporal to hippocampus volume reached an AUC of 75% for separating pure TDP-43 from pure AD cases. Random-forest analysis between TDP-43, AD, and mixed pathology reached only a multiclass AUC of 0.63 based on hippocampus, middle-inferior temporal gyrus, and amygdala volumes. Findings in the ADNI sample were consistent with these results.A comparable degree of basal forebrain atrophy in pure TDP-43 cases compared to AD cases encourages studies on the effect of cholinergic treatment in amnestic dementia due to TDP-43. A distinct pattern of temporo-limbic brain atrophy may serve as a surrogate marker to enrich samples in clinical trials for the presence of TDP-43 pathology. |
| 536 | _ | _ | |a 353 - Clinical and Health Care Research (POF4-353) |0 G:(DE-HGF)POF4-353 |c POF4-353 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de |
| 650 | _ | 2 | |a Humans |2 MeSH |
| 650 | _ | 2 | |a Alzheimer Disease: pathology |2 MeSH |
| 650 | _ | 2 | |a Bayes Theorem |2 MeSH |
| 650 | _ | 2 | |a Basal Forebrain: diagnostic imaging |2 MeSH |
| 650 | _ | 2 | |a Basal Forebrain: pathology |2 MeSH |
| 650 | _ | 2 | |a Magnetic Resonance Imaging |2 MeSH |
| 650 | _ | 2 | |a Atrophy: pathology |2 MeSH |
| 650 | _ | 2 | |a DNA-Binding Proteins: metabolism |2 MeSH |
| 650 | _ | 2 | |a Cholinergic Agents |2 MeSH |
| 650 | _ | 7 | |a DNA-Binding Proteins |2 NLM Chemicals |
| 650 | _ | 7 | |a AD pathology |2 Other |
| 650 | _ | 7 | |a Autopsy |2 Other |
| 650 | _ | 7 | |a Cholinergic deficit |2 Other |
| 650 | _ | 7 | |a Imaging signature |2 Other |
| 650 | _ | 7 | |a Limbic TDP-43 |2 Other |
| 650 | _ | 7 | |a MRI |2 Other |
| 650 | _ | 7 | |a Cholinergic Agents |2 NLM Chemicals |
| 700 | 1 | _ | |a Grothe, Michel J |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Initiative, Alzheimer's Disease Neuroimaging |b 2 |e Collaboration Author |
| 773 | _ | _ | |a 10.1016/j.nbd.2023.106070 |g Vol. 180, p. 106070 - |0 PERI:(DE-600)1471408-5 |p 106070 |t Neurobiology of disease |v 180 |y 2023 |x 0969-9961 |
| 856 | 4 | _ | |u https://pub.dzne.de/record/257341/files/DZNE-2023-00410%20SUP.docx |
| 856 | 4 | _ | |y OpenAccess |u https://pub.dzne.de/record/257341/files/DZNE-2023-00410.pdf |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://pub.dzne.de/record/257341/files/DZNE-2023-00410.pdf?subformat=pdfa |
| 856 | 4 | _ | |u https://pub.dzne.de/record/257341/files/DZNE-2023-00410%20SUP.doc |
| 856 | 4 | _ | |u https://pub.dzne.de/record/257341/files/DZNE-2023-00410%20SUP.odt |
| 856 | 4 | _ | |u https://pub.dzne.de/record/257341/files/DZNE-2023-00410%20SUP.pdf |
| 909 | C | O | |o oai:pub.dzne.de:257341 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 0 |6 P:(DE-2719)2000026 |
| 913 | 1 | _ | |a DE-HGF |b Gesundheit |l Neurodegenerative Diseases |1 G:(DE-HGF)POF4-350 |0 G:(DE-HGF)POF4-353 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Clinical and Health Care Research |x 0 |
| 914 | 1 | _ | |y 2023 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2022-11-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2022-11-18 |
| 915 | _ | _ | |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 |0 LIC:(DE-HGF)CCBYNCND4 |2 HGFVOC |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2022-11-18 |
| 915 | _ | _ | |a Fees |0 StatID:(DE-HGF)0700 |2 StatID |d 2022-11-18 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Article Processing Charges |0 StatID:(DE-HGF)0561 |2 StatID |d 2022-11-18 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b NEUROBIOL DIS : 2022 |d 2023-08-23 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-08-23 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2023-08-23 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |d 2023-04-12T14:49:08Z |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |d 2023-04-12T14:49:08Z |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Anonymous peer review |d 2023-04-12T14:49:08Z |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2023-08-23 |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2023-08-23 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2023-08-23 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2023-08-23 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2023-08-23 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2023-08-23 |
| 915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b NEUROBIOL DIS : 2022 |d 2023-08-23 |
| 920 | 1 | _ | |0 I:(DE-2719)1510100 |k AG Teipel |l Clinical Dementia Research Rostock /Greifswald |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-2719)1510100 |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|