Evidence map›Paper›PMID 39202326›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Cognitive Impairment in Cerebral Small Vessel Disease Is Associated with Corpus Callosum Microstructure Changes Based on Diffusion MRI.

Larisa A Dobrynina, Elena I Kremneva, Kamila V Shamtieva, Anastasia A Geints, Alexey S Filatov, Zukhra Sh Gadzhieva, Elena V Gnedovskaya, Marina V Krotenkova, Ivan I Maximov

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

9 authors.

Larisa A DobryninaResearch Center of Neurology, 125367 Moscow, Russia.ORCID 0000-0001-9929-2725
Elena I KremnevaResearch Center of Neurology, 125367 Moscow, Russia.ORCID 0000-0001-9396-6063
Kamila V ShamtievaResearch Center of Neurology, 125367 Moscow, Russia.
Anastasia A GeintsResearch Center of Neurology, 125367 Moscow, Russia.ORCID 0009-0001-1836-2515
Alexey S FilatovResearch Center of Neurology, 125367 Moscow, Russia.
Zukhra Sh GadzhievaResearch Center of Neurology, 125367 Moscow, Russia.ORCID 0000-0001-7498-4063
Elena V GnedovskayaResearch Center of Neurology, 125367 Moscow, Russia.ORCID 0000-0001-6026-3388
Marina V KrotenkovaResearch Center of Neurology, 125367 Moscow, Russia.
Ivan I MaximovDepartment of Health and Functioning, Western Norway University of Applied Sciences (HVL), 5063 Bergen, Norway.

Funding

Russian Science Foundation 22-15-00183
6 · The paper itself

Abstract

The cerebral small vessel disease (cSVD) is one of the main causes of vascular and mixed cognitive impairment (CI), and it is associated, in particular, with brain ageing. An understanding of structural tissue changes in an intact cerebral white matter in cSVD might allow one to develop the sensitive biomarkers for early diagnosis and monitoring of disease progression. PURPOSE OF THE STUDY: to evaluate microstructural changes in the corpus callosum (CC) using diffusion MRI (D-MRI) approaches in cSVD patients with different severity of CI and reveal the most sensitive correlations of diffusion metrics with CI.

methodsthe study included 166 cSVD patients (51.8% women; 60.4 ± 7.6 years) and 44 healthy volunteers (65.9% women; 59.6 ± 6.8 years). All subjects underwent D-MRI (3T) with signal (diffusion tensor and kurtosis) and biophysical (neurite orientation dispersion and density imaging, NODDI, white matter tract integrity, WMTI, multicompartment spherical mean technique, MC-SMT) modeling in three CC segments as well as a neuropsychological assessment.

resultsin cSVD patients, microstructural changes were found in all CC segments already at the subjective CI stage, which was found to worsen into mild CI and dementia. More pronounced changes were observed in the forceps minor. Among the signal models FA, MD, MK, RD, and RK, as well as among the biophysical models, MC-SMT (EMD, ETR) and WMTI (AWF) metrics exhibited the largest area under the curve (>0.85), characterizing the loss of microstructural integrity, the severity of potential demyelination, and the proportion of intra-axonal water, respectively.

Indexed as

cognitive impairmentcorpus callosumdiffusion modelssmall vessel diseasetract profiles

Identifiers

PMID39202326
PMCPMC11353603

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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.