Evidence map›Paper›PMID 40800489›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2024

Functional MRI brain state occupancy in the presence of cerebral small vessel disease

Thies Ingwersen, Carola Mayer, Marvin Petersen, Benedikt M Frey, Jens Fiehler, Uta Hanning, Simone Kühn, Jürgen Gallinat, Raphael Twerenbold, Christian Gerloff and 3 more

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

13 authors.

Thies IngwersenDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Carola MayerDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Marvin PetersenDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Benedikt M FreyDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jens FiehlerDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Uta HanningDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Simone KühnDepartment of Psychiatry, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jürgen GallinatDepartment of Psychiatry, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Raphael TwerenboldDepartment of Cardiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Christian GerloffDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Bastian ChengDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Götz ThomallaDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Eckhard SchlemmDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to replicate recent findings on the association between the extent of cerebral small vessel disease (cSVD), functional brain network dedifferentiation, and cognitive impairment. We analyzed demographic, imaging, and behavioral data from the prospective population-based Hamburg City Health Study. Using a fully prespecified analysis pipeline, we estimated discrete brain states from structural and resting-state functional magnetic resonance imaging (MRI). In a multiverse analysis, we varied brain parcellations and functional MRI confound regression strategies. The severity of cSVD was operationalized as the volume of white matter hyperintensities of presumed vascular origin. Processing speed and executive dysfunction were quantified using the Trail Making Test (TMT). We hypothesized a) that a greater volume of supratentorial white matter hyperintensities would be associated with less time spent in functional MRI-derived brain states of high fractional occupancy; and b) that less time spent in these high-occupancy brain states associated with a longer time to completion in part B of the TMT. High-occupancy brain states were characterized by activation or suppression of the default mode network. Every

Indexed as

brain statescerebral small vessel diseasecognitionresting-state MRIspatial coactivation pattern

Identifiers

PMID40800489
PMCPMC12247551

What OpenQuestion holds

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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.