Home > Publications Database > A comprehensive score reflecting memory-related fMRI activations and deactivations as potential biomarker for neurocognitive aging. > print

001     155514
005     20240320115510.0
024 7 _ |a pmc:PMC8410542
|2 pmc
024 7 _ |a 10.1002/hbm.25559
|2 doi
024 7 _ |a pmid:34132437
|2 pmid
024 7 _ |a 1065-9471
|2 ISSN
024 7 _ |a 1097-0193
|2 ISSN
024 7 _ |a altmetric:107732388
|2 altmetric
037 _ _ |a DZNE-2021-00710
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Soch, Joram
|0 P:(DE-2719)9000770
|b 0
|e First author
|u dzne
245 _ _ |a A comprehensive score reflecting memory-related fMRI activations and deactivations as potential biomarker for neurocognitive aging.
260 _ _ |a New York, NY
|c 2021
|b Wiley-Liss
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 1709568009_22642
|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
520 _ _ |a Older adults and particularly those at risk for developing dementia typically show a decline in episodic memory performance, which has been associated with altered memory network activity detectable via functional magnetic resonance imaging (fMRI). To quantify the degree of these alterations, a score has been developed as a putative imaging biomarker for successful aging in memory for older adults (Functional Activity Deviations during Encoding, FADE; Düzel et al., Hippocampus, 2011; 21: 803-814). Here, we introduce and validate a more comprehensive version of the FADE score, termed FADE-SAME (Similarity of Activations during Memory Encoding), which differs from the original FADE score by considering not only activations but also deactivations in fMRI contrasts of stimulus novelty and successful encoding, and by taking into account the variance of young adults' activations. We computed both scores for novelty and subsequent memory contrasts in a cohort of 217 healthy adults, including 106 young and 111 older participants, as well as a replication cohort of 117 young subjects. We further tested the stability and generalizability of both scores by controlling for different MR scanners and gender, as well as by using different data sets of young adults as reference samples. Both scores showed robust age-group-related differences for the subsequent memory contrast, and the FADE-SAME score additionally exhibited age-group-related differences for the novelty contrast. Furthermore, both scores correlate with behavioral measures of cognitive aging, namely memory performance. Taken together, our results suggest that single-value scores of memory-related fMRI responses may constitute promising biomarkers for quantifying neurocognitive aging.
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 _ 7 |a cognitive aging
|2 Other
650 _ 7 |a episodic memory
|2 Other
650 _ 7 |a fMRI
|2 Other
650 _ 7 |a hippocampus
|2 Other
650 _ 7 |a memory impairment
|2 Other
650 _ 7 |a subsequent memory effect
|2 Other
650 _ 2 |a Adolescent
|2 MeSH
650 _ 2 |a Adult
|2 MeSH
650 _ 2 |a Age Factors
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Aged, 80 and over
|2 MeSH
650 _ 2 |a Brain: diagnostic imaging
|2 MeSH
650 _ 2 |a Brain: physiology
|2 MeSH
650 _ 2 |a Cognitive Aging: physiology
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Functional Neuroimaging: methods
|2 MeSH
650 _ 2 |a Hippocampus: diagnostic imaging
|2 MeSH
650 _ 2 |a Hippocampus: physiology
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Magnetic Resonance Imaging
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Memory, Episodic
|2 MeSH
650 _ 2 |a Middle Aged
|2 MeSH
650 _ 2 |a Young Adult
|2 MeSH
700 1 _ |a Richter, Anni
|0 0000-0001-9681-6298
|b 1
700 1 _ |a Schütze, Hartmut
|0 P:(DE-2719)9001467
|b 2
|u dzne
700 1 _ |a Kizilirmak, Jasmin
|0 P:(DE-2719)9000615
|b 3
|u dzne
700 1 _ |a Assmann, Anne
|0 P:(DE-2719)2812914
|b 4
|u dzne
700 1 _ |a Behnisch, Gusalija
|b 5
700 1 _ |a Feldhoff, Hannah
|b 6
700 1 _ |a Fischer, Larissa
|b 7
700 1 _ |a Heil, Julius
|b 8
700 1 _ |a Knopf, Lea
|b 9
700 1 _ |a Merkel, Christian
|0 0000-0002-8730-5653
|b 10
700 1 _ |a Raschick, Matthias
|b 11
700 1 _ |a Schietke, Clara-Johanna
|b 12
700 1 _ |a Schult, Annika
|b 13
700 1 _ |a Seidenbecher, Constanze I
|b 14
700 1 _ |a Yakupov, Renat
|0 P:(DE-2719)2812398
|b 15
|u dzne
700 1 _ |a Ziegler, Gabriel
|0 P:(DE-2719)2814076
|b 16
|u dzne
700 1 _ |a Wiltfang, Jens
|0 P:(DE-2719)2811317
|b 17
|u dzne
700 1 _ |a Düzel, Emrah
|0 P:(DE-2719)2000005
|b 18
|u dzne
700 1 _ |a Schott, Björn
|0 P:(DE-2719)2814326
|b 19
|e Last author
|u dzne
773 _ _ |a 10.1002/hbm.25559
|g p. hbm.25559
|0 PERI:(DE-600)1492703-2
|n 14
|p 4478-4496
|t Human brain mapping
|v 42
|y 2021
|x 1097-0193
856 4 _ |y OpenAccess
|u https://pub.dzne.de/record/155514/files/19555.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://pub.dzne.de/record/155514/files/19555.pdf?subformat=pdfa
909 C O |o oai:pub.dzne.de:155514
|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)9000770
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 2
|6 P:(DE-2719)9001467
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 3
|6 P:(DE-2719)9000615
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 4
|6 P:(DE-2719)2812914
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 15
|6 P:(DE-2719)2812398
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 16
|6 P:(DE-2719)2814076
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 17
|6 P:(DE-2719)2811317
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 18
|6 P:(DE-2719)2000005
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 19
|6 P:(DE-2719)2814326
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
913 0 _ |a DE-HGF
|b Gesundheit
|l Erkrankungen des Nervensystems
|1 G:(DE-HGF)POF3-340
|0 G:(DE-HGF)POF3-342
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-300
|4 G:(DE-HGF)POF
|v Disease Mechanisms and Model Systems
|x 0
913 0 _ |a DE-HGF
|b Gesundheit
|l Erkrankungen des Nervensystems
|1 G:(DE-HGF)POF3-340
|0 G:(DE-HGF)POF3-344
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-300
|4 G:(DE-HGF)POF
|v Clinical and Health Care Research
|x 1
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-22
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-22
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2022-11-22
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-01-27
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2022-11-22
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2022-09-27T20:46:01Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2022-11-22
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b HUM BRAIN MAPP : 2021
|d 2022-11-22
915 _ _ |a DEAL Wiley
|0 StatID:(DE-HGF)3001
|2 StatID
|d 2021-01-27
|w ger
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-01-27
915 _ _ |a Creative Commons Attribution-NonCommercial CC BY-NC 4.0
|0 LIC:(DE-HGF)CCBYNC4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2022-09-27T20:46:01Z
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-22
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2022-11-22
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b HUM BRAIN MAPP : 2021
|d 2022-11-22
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-27
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2022-11-22
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-22
920 1 _ |0 I:(DE-2719)5000006
|k AG Düzel
|l Clinical Neurophysiology and Memory
|x 0
920 1 _ |0 I:(DE-2719)1410006
|k AG Wiltfang
|l Molecular biomarkers for predictive diagnostics of neurodegenerative diseases
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-2719)5000006
980 _ _ |a I:(DE-2719)1410006
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21