Evidence map›Paper›PMID 41851228›Full record

ArticleScientific reports2026

Associations between ventricular boundary shift integral and composite cognitive domains across the alzheimer's disease continuum.

Hamide Nasiri, Hannaneh Azimizonuzi, Farbod Khosravi, Seyedeh Fahimeh Hosseini, Alireza Khoshrou, Setareh Rezakhani, Reyhaneh Badri, Danial Kazemi, Negar Toorani, Kobra Soltanikhadiv and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Hamide NasiriStudent Research Committee, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
Hannaneh AzimizonuziInventor Member, Iran Representative Office of the International Federation of Inventors' Associations (IFIA), Tehran, Iran.
Farbod KhosraviShahid Beheshti University of Medical Sciences, Tehran, Iran.
Seyedeh Fahimeh HosseiniMechanical Engineering Department, Sharif University of Technology, Tehran, Tehran, Iran.
Alireza KhoshrouStudent Research Committee, Mashhad University of Medical Sciences, Mashhad, Razavi Khorasan, Iran.
Setareh RezakhaniElectrical Engineering Department, Islamic Azad University of Najaf Abad, Najaf Abad, Isfahan, Iran.
Reyhaneh BadriFaculty of Sports and Health Sciences, University of Tehran, Tehran, Tehran, Iran.
Danial KazemiStudent Research Committee, Isfahan University of Medical Sciences, Isfahan, Isfahan, Iran.
Negar TooraniSchool of Modern Science, Islamic Azad University Medical Branch of Tehran, Tehran, Iran.
Kobra SoltanikhadivSchool of Cognitive Neuroscience, Institute for Cognitive Science Studies, Tehran, Tehran, Iran.
Sadra BehrouziehSchool of Medicine, Tehran University of Medical Sciences, Tehran, Tehran, Iran.
Seyed Mohammad Amin AlaviFaculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Khuzestan, Iran.
Shayan ShakeriDepartment of Medical Genetics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Mahsa MayeliSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Farshad ShahkaramiDepartment of Internal Medicine, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. Shahkaramifarshad@gmail.com.ORCID https://orcid.org/0009-0004-0429-1914

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive impairment is hallmark of Alzheimer’s disease (AD). Although structural MRI has consistently demonstrated widespread brain atrophy in AD, the comparative utility of different imaging sequences for predicting cognitive decline remains uncertain. The Boundary Shift Integral (BSI), a longitudinal measure quantifying brain volume change over time, provides a dynamic alternative to conventional cross-sectional volumetric measures and could more sensitively reflect cognition-related neurodegeneration. This study investigated the associations between BSI-derived atrophy and domain-specific cognitive performance across the AD continuum. Participants (Cognitively Normal [CN] = 155, Mild Cognitive Impairment [MCI] = 283, AD = 100) underwent comprehensive cognitive testing, and composite scores were computed for memory, executive function, and language domains. BSI metrics for the whole brain, ventricles, and bilateral hippocampi were derived from serial MRI scans acquired at baseline and 12-month follow-up and were directly compared with conventional T1-weighted volumetric measures. Linear regression models were used to examine associations between imaging markers and domain-specific cognitive scores, adjusting for relevant covariates. In the MCI group, BSI measures demonstrated significant associations with all cognitive domains, consistently outperforming traditional volumetric measures. Whole-brain and ventricular BSI were significantly associated with memory, executive function, and language, while hippocampal BSI showed particularly robust associations with memory. In the AD group, BSI again exhibited more consistent associations with cognitive performance than volumetrics, especially for whole-brain and right hippocampal measures. No significant associations were observed in the CN group. Direct comparisons confirmed that BSI provides enhanced sensitivity to cognition-relevant structural changes, particularly in early and prodromal stages of AD. BSI measures offer superior sensitivity in detecting early structural brain changes associated with cognitive decline. These findings support the utility of BSI as a dynamic and clinically relevant tool for early detection and longitudinal monitoring of the disease.

Indexed as

Alzheimer DiseaseCerebral VentriclesCognitionCognitive DysfunctionAgedAged, 80 and overAtrophyBrainFemaleHippocampusHumansMagnetic Resonance ImagingMaleNeuropsychological TestsAlzheimer’s diseaseBoundary shift integralBrain atrophyMagnetic resonance imagingMild cognitive impairment

Identifiers

PMID41851228
PMCPMC13136413

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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.