Evidence map›Paper›PMID 39465440›Full record

ArticleAlzheimer's research & therapy2024

Longitudinal evidence for a mutually reinforcing relationship between white matter hyperintensities and cortical thickness in cognitively unimpaired older adults.

Jose Bernal, Inga Menze, Renat Yakupov, Oliver Peters, Julian Hellmann-Regen, Silka Dawn Freiesleben, Josef Priller, Eike Jakob Spruth, Slawek Altenstein, Anja Schneider and 25 more

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 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

35 authors.

Jose BernalInstitute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany. jose.bernalmoyano@dzne.de.
Inga MenzeInstitute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany.
Renat YakupovInstitute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany.
Oliver PetersGerman Centre for Neurodegenerative Diseases (DZNE), Berlin, Germany.
Julian Hellmann-RegenGerman Centre for Neurodegenerative Diseases (DZNE), Berlin, Germany.
Silka Dawn FreieslebenGerman Centre for Neurodegenerative Diseases (DZNE), Berlin, Germany.
Josef PrillerUK Dementia Research Institute Centre at the University of Edinburgh, Edinburgh, UK.
Eike Jakob SpruthGerman Centre for Neurodegenerative Diseases (DZNE), Berlin, Germany.
Slawek AltensteinGerman Centre for Neurodegenerative Diseases (DZNE), Berlin, Germany.
Anja SchneiderGerman Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Klaus FliessbachGerman Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Jens WiltfangGerman Centre for Neurodegenerative Diseases (DZNE), Göttingen, Germany.
Björn H SchottGerman Centre for Neurodegenerative Diseases (DZNE), Göttingen, Germany.
Frank JessenGerman Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Ayda RostamzadehDepartment of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany.
Wenzel GlanzGerman Centre for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
Enise I IncesoyInstitute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany.
Katharina BuergerGerman Centre for Neurodegenerative Diseases (DZNE), Munich, Germany.
Daniel JanowitzInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.
Michael EwersGerman Centre for Neurodegenerative Diseases (DZNE), Munich, Germany.
Robert PerneczkyGerman Centre for Neurodegenerative Diseases (DZNE), Munich, Germany.
Boris-Stephan RauchmannDepartment of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany.
Stefan TeipelGerman Centre for Neurodegenerative Diseases (DZNE), Rostock, Germany.
Ingo KilimannGerman Centre for Neurodegenerative Diseases (DZNE), Rostock, Germany.
Christoph LaskeGerman Centre for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Sebastian SodenkampGerman Centre for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Annika SpottkeGerman Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Anna EsserGerman Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Falk LüsebrinkGerman Centre for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
Peter DechentDepartment of Cognitive Neurology, MR-Research in Neurosciences, Georg-August-University, Göttingen, Germany.
Stefan HetzerBerlin Centre for Advanced Neuroimaging, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Klaus SchefflerDepartment for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany.
Stefanie SchreiberGerman Centre for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
Emrah Düzel *Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany.
Gabriel Ziegler *Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany.

Funding

Deutsche Forschungsgemeinschaft CRC 1436, projects A05, B02, B04 and C01Deutsches Zentrum für Neurodegenerative Erkrankungen BN012
6 · The paper itself

Abstract

backgroundFor over three decades, the concomitance of cortical neurodegeneration and white matter hyperintensities (WMH) has sparked discussions about their coupled temporal dynamics. Longitudinal studies supporting this hypothesis nonetheless remain scarce.

methodsWe applied global and regional bivariate latent growth curve modelling to determine the extent to which WMH and cortical thickness were interrelated over a four-year period. For this purpose, we leveraged longitudinal MRI data from 451 cognitively unimpaired participants (DELCODE; median age 69.71 [IQR 65.51, 75.50] years; 52.32% female). Participants underwent MRI sessions annually over a four-year period (1815 sessions in total, with roughly four MRI sessions per participant). We adjusted all models for demographics and cardiovascular risk.

resultsOur findings were three-fold. First, larger WMH volumes were linked to lower cortical thickness (σ = -0.165, SE = 0.047, Z = -3.515, P < 0.001). Second, individuals with higher WMH volumes experienced more rapid cortical thinning (σ = -0.226, SE = 0.093, Z = -2.443, P = 0.007), particularly in temporal, cingulate, and insular regions. Similarly, those with lower initial cortical thickness had faster WMH progression (σ = -0.141, SE = 0.060, Z = -2.336, P = 0.009), with this effect being most pronounced in temporal, cingulate, and insular cortices. Third, faster WMH progression was associated with accelerated cortical thinning (σ = -0.239, SE = 0.139, Z = -1.710, P = 0.044), particularly in frontal, occipital, and insular cortical regions.

conclusionsOur study suggests that cortical thinning and WMH progression could be mutually reinforcing rather than parallel, unrelated processes, which become entangled before cognitive deficits are detectable.

trial registrationGerman Clinical Trials Register (DRKS00007966, 04/05/2015).

Indexed as

Cerebral CortexMagnetic Resonance ImagingWhite MatterAgedBrain Cortical ThicknessCerebral Cortical ThinningFemaleHumansLongitudinal StudiesMaleCortical ThicknessLatent Growth Curve ModelLongitudinal ModellingStructural Magnetic Resonance ImagingWhite Matter Hyperintensities

Identifiers

PMID39465440
PMCPMC11520063

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Registered trials

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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.