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3D quantitative MRI for cognitive performance: T1 relaxation times of the right putamen and volumes of the left hippocampus as key biomarkers.

Overview

Authors: Lora Kovacheva1, Jan R Schüre1, Svenja Klinsing1,2, Rafael Willems1, Mario Balo1, Ralf Deichmann1,3, Elke Hattingen1, Christophe T Arendt1
  1. Goethe University Frankfurt, University Hospital, Institute of Neuroradiology, Frankfurt, Germany
  2. Goethe University Frankfurt, University Hospital, Department of Neurology, Frankfurt, Germany
  3. Goethe University Frankfurt, Cooperative Brain Imaging Center - CoBIC, Frankfurt, Germany
Journal: Neuroimage. Reports, volume 6, issue 2, article 100351
Dates: received 28 December 2025; accepted 28 April 2026; published online 7 May 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1016/j.ynirp.2026.100351 · PMID 42165069 · PMCID PMC13185900 · OpenAlex W7160486737
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: structural MRI / diffusion (modality), human (organism), Alzheimer's / dementia (population), clinical / translational (subfield)
Methods: Statistics, Connectivity, fMRI & imaging
Keywords: Cognitive dysfunction, qT1, MRI, Dementia, Putamen
Topic: Dementia and Cognitive Impairment Research (Psychiatry and Mental health, Medicine), according to OpenAlex
Funding: Bundesministerium für Forschung, Technologie und Raumfahrt; Goethe-Universität Frankfurt am Main; German Centre for Infection Research
Citations: not cited yet (Europe PMC); 39 references in the paper

Abstract

Background: Mild cognitive impairment (MCI) represents anearly stage of cognitive decline, often preceding dementia. While hippocampal atrophy is a recognized imaging marker, the role of deep gray matter structures and tissue alterations remains less understood. This study aimed to assess whether quantitative T1 (qT1) relaxometry and volumetric measures derived from synthetic MRI are associated with global cognitive performance, as measured by the Montreal Cognitive Assessment (MoCA).

Methods: In this cross-sectional study, 74 healthy adults (mean age 43.7 years, 50% female) underwent 3D-synthetic MRI and MoCA testing. Participants were stratified into cognitively normal (MoCA ≥26) and MCI (MoCA <26) groups. Brain volumes and qT1 values were extracted across regions. Associations with MoCA were assessed using multivariate regression, controlling for demographic and clinical covariates.

Results: Left hippocampal volume was significantly reduced in the MCI group (p = 0.019) and was positively associated with MoCA scores (R2 = 0.18). Although qT1 values did not differ significantly between groups, qT1 in the right putamen independently predicted MoCA scores when adjusted for age (combined model R2 = 0.22). Age was also associated with cortical gray matter qT1 (r = −0.33, p = 0.005) and increased CSF volume (r = 0.45, p < 0.0001), indicating age-related structural changes. No significant effects of sex, BMI, vascular risk, or comorbidities were observed.

Conclusions: Hippocampal volume and putamen qT1 are independent imaging correlates of cognitive performance. qT1 mapping may detect early subtle tissue changes not captured by conventional volumetry, supporting its potential role as a biomarker in cognitive aging.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

Code availability

Codes generated during the current study are available from the corresponding author on reasonable request.

Reproduced under the paper's license (CC BY), from the paper cited above.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none (its code is available on request), so it has no map.

Data

No dataset and no data link were found in the paper.

Data availability

Data will be made available on request.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 2, 28 September 2026

  • Authors: added Lora Kovacheva (0000-0001-6999-1533); removed Lora Kovacheva

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 5 keywords, 3 funders, 39 references.

Cite

This paper

Kovacheva, L., Schüre, J. R., Klinsing, S., Willems, R., Balo, M., Deichmann, R., Hattingen, E., & Arendt, C. T. (2026). 3D quantitative MRI for cognitive performance: T1 relaxation times of the right putamen and volumes of the left hippocampus as key biomarkers. Neuroimage. Reports, 6(2), 100351. https://doi.org/10.1016/j.ynirp.2026.100351

BibTeX

@article{kovacheva20263d,
author = {Kovacheva, Lora and Schüre, Jan R and Klinsing, Svenja and Willems, Rafael and Balo, Mario and Deichmann, Ralf and Hattingen, Elke and Arendt, Christophe T},
title = {{3D quantitative MRI for cognitive performance: T1 relaxation times of the right putamen and volumes of the left hippocampus as key biomarkers}},
journal = {Neuroimage. Reports},
year = {2026},
month = may,
volume = {6},
number = {2},
pages = {100351},
publisher = {Elsevier},
issn = {2666-9560},
doi = {10.1016/j.ynirp.2026.100351},
url = {https://doi.org/10.1016/j.ynirp.2026.100351},
pmid = {42165069},
pmcid = {PMC13185900}
}

RIS

TY - JOUR
AU - Kovacheva, Lora
AU - Schüre, Jan R
AU - Klinsing, Svenja
AU - Willems, Rafael
AU - Balo, Mario
AU - Deichmann, Ralf
AU - Hattingen, Elke
AU - Arendt, Christophe T
TI - 3D quantitative MRI for cognitive performance: T1 relaxation times of the right putamen and volumes of the left hippocampus as key biomarkers
T2 - Neuroimage. Reports
J2 - Neuroimage Rep
PY - 2026
DA - 2026/05/07
VL - 6
IS - 2
SP - 100351
SN - 2666-9560
PB - Elsevier
DO - 10.1016/j.ynirp.2026.100351
UR - https://doi.org/10.1016/j.ynirp.2026.100351
LA - en
ER -

CSL-JSON

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