Evidence map›Paper›PMID 39053354›Full record

ArticleNeurobiology of aging2024

Free water-corrected fractional anisotropy of the fornix and parahippocampal cingulum predicts longitudinal memory change in cognitively healthy older adults.

Mingzhu Hou, Maurizio Bergamino, Marianne de Chastelaine, Sowmya Sambamoorthy, Michael D Rugg

Abstract read
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Article in Neurobiology of aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mingzhu HouCenter for Vital Longevity and School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX 75235, USA. Electronic address: mingzhu.hou@utdallas.edu.
Maurizio BergaminoDivision of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ 85013, USA.
Marianne de ChastelaineCenter for Vital Longevity and School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX 75235, USA.
Sowmya SambamoorthyCenter for Vital Longevity and School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX 75235, USA.
Michael D RuggCenter for Vital Longevity and School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX 75235, USA.

Funding

Neural Selectivity, Retrieval-Related Reinstatement, and Age-Related MemoryDeclineR01AG082680 · NIA · UNIVERSITY OF TEXAS DALLAS · PI Michael D Rugg · 2023 to 2026
$2.7M
Relationship Between Neural Correlates of Episodic Memory,Age, Memory PerformanceRF1AG039103 · NIA · UNIVERSITY OF TEXAS DALLAS · PI RUGG, MICHAEL D · 2017 to 2017
$2.7M
NIA NIH HHS R01 AG082680NIA NIH HHS RF1 AG039103
6 · The paper itself

Abstract

Prior studies have reported inconsistent results regarding the relationships between the integrity of the fornix and parahippocampal cingulum and both memory performance and longitudinal change in performance. In the present study, we examined associations in a sample of cognitively healthy older adults between free water-corrected fractional anisotropy (FA) metrics derived from the fornix and cingulum, baseline memory performance, and 3-year memory change. Neither fornix nor cingulum FA correlated with memory performance at baseline. By contrast, FA of each tract was predictive of memory change, such that greater FA was associated with less longitudinal decline. These associations remained significant after controlling for FA of other white matter tracts and for performance in other cognitive domains. Furthermore, fornix and cingulum FA explained unique variance in memory change. These results suggest that free water-corrected measures of fornix and parahippocampal cingulum integrity are reliable predictors of future memory change in cognitively healthy older adults. The findings for the fornix in particular highlight the utility of correcting for free water when estimating diffusion tensor imaging metrics of white matter integrity.

Indexed as

CognitionDiffusion Tensor ImagingFornix, BrainMemoryAgedAged, 80 and overAgingAnisotropyFemaleGyrus CinguliHealthy AgingHumansLongitudinal StudiesMaleParahippocampal GyrusWaterWateragingcognitive changecognitive performancediffusion tensor imaginghippocampusstructural connectivity

Identifiers

PMID39053354
PMCPMC11931553

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.