Baseline Lateral Ventricle Volume Predict Cognitive Decline in a clinical cohort

Abstract Background Biomarkers are essential for the early detection of Alzheimer disease (AD) to develop effective treatments. As neurons die, hippocampal shrinkage and lateral ventricle expansion occur. Measuring hippocampal volume is challenging due to its small size, while lateral ventricle volume is easier to quantify. Our previous research showed that baseline and longitudinal changes in lateral ventricle volume predicted cognitive decline in a research cohort. However, its utility as a biomarker in clinical populations remains underexplored. This study investigated whether lateral ventricle volume predicts cognitive decline in clinical patients with memory complaints who underwent Clinical Dementia Rating (CDR©), neuropsychometric, cerebrospinal fluid (CSF) and imaging assessments between 1990 and 2018. Method This study included 344 participants from the OASIS4 clinical cohort ( https://sites.wustl.edu/oasisbrains/home/oasis‐4/ ) who had at least two cognitive assessments and corresponding MRI scans. Lateral ventricle and hippocampal volumes were extracted using FreeSurfer (5.3) software and adjusted for intracranial volume. Cognitive performance was measured using a composite score based on z‐scores from Verbal Fluency, Trailmaking B Seconds, and Digit Symbol Errors—tests commonly used to study early AD‐related changes. A random coefficient model examined whether baseline lateral ventricle volume predicted cognitive decline, controlling for age, sex, and education. Linear regression analyzed correlations between baseline hippocampal volume and baseline lateral ventricle volume, and the relationship between baseline lateral ventricle volume and changes in cognitive composite scores. Result Demographic characteristics of the participants at baseline were presented in Table 1. Baseline lateral ventricle volume was a significant predictor of the cognitive decline as measured by the cognitive composite scores (Table 2, p = 0.01). Additionally, baseline lateral ventricles volume is significantly correlated with the rate of changes in cognitive composite scores (Figure 2A, R 2 =0.0368, p = 0.0003) and baseline hippocampal volume (Figure 2B, R 2 = 0.1631, p < 0.0001). Conclusion These findings suggest that the lateral ventricle volume may be used as a robust and easily measurable imaging biomarker in clinical setting. Its significant predictive value for cognitive decline, along with its strong association with hippocampal volume in a clinical cohort, highlights its potential for monitoring AD progression. This translates our research findings into real‐world populations.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_105116
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Baseline Lateral Ventricle Volume Predict Cognitive Decline in a clinical cohort

Nicole S. McKay, Jingxia Liu, Parinaz Massoumzadeh, Pamela LaMontagne et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Baseline Lateral Ventricle Volume Predict Cognitive Decline in a clinical cohort

Nicole S. McKay, Jingxia Liu, Parinaz Massoumzadeh, Pamela LaMontagne, Sarah Keefe, Nelly Joseph‐Mathurin, Gengsheng Chen, Jason J. Hassenstab, Carlos Cruchaga, John C. Morris, Brian A. Gordon, Tammie L.S. Benzinger, Suzanne E. Schindler
article en

Abstract

Abstract Background Biomarkers are essential for the early detection of Alzheimer disease (AD) to develop effective treatments. As neurons die, hippocampal shrinkage and lateral ventricle expansion occur. Measuring hippocampal volume is challenging due to its small size, while lateral ventricle volume is easier to quantify. Our previous research showed that baseline and longitudinal changes in lateral ventricle volume predicted cognitive decline in a research cohort. However, its utility as a biomarker in clinical populations remains underexplored. This study investigated whether lateral ventricle volume predicts cognitive decline in clinical patients with memory complaints who underwent Clinical Dementia Rating (CDR©), neuropsychometric, cerebrospinal fluid (CSF) and imaging assessments between 1990 and 2018. Method This study included 344 participants from the OASIS4 clinical cohort ( https://sites.wustl.edu/oasisbrains/home/oasis‐4/ ) who had at least two cognitive assessments and corresponding MRI scans. Lateral ventricle and hippocampal volumes were extracted using FreeSurfer (5.3) software and adjusted for intracranial volume. Cognitive performance was measured using a composite score based on z‐scores from Verbal Fluency, Trailmaking B Seconds, and Digit Symbol Errors—tests commonly used to study early AD‐related changes. A random coefficient model examined whether baseline lateral ventricle volume predicted cognitive decline, controlling for age, sex, and education. Linear regression analyzed correlations between baseline hippocampal volume and baseline lateral ventricle volume, and the relationship between baseline lateral ventricle volume and changes in cognitive composite scores. Result Demographic characteristics of the participants at baseline were presented in Table 1. Baseline lateral ventricle volume was a significant predictor of the cognitive decline as measured by the cognitive composite scores (Table 2, p = 0.01). Additionally, baseline lateral ventricles volume is significantly correlated with the rate of changes in cognitive composite scores (Figure 2A, R 2 =0.0368, p = 0.0003) and baseline hippocampal volume (Figure 2B, R 2 = 0.1631, p < 0.0001). Conclusion These findings suggest that the lateral ventricle volume may be used as a robust and easily measurable imaging biomarker in clinical setting. Its significant predictive value for cognitive decline, along with its strong association with hippocampal volume in a clinical cohort, highlights its potential for monitoring AD progression. This translates our research findings into real‐world populations.

Alzheimer s & DementiaVol. 21(S2)
Washington University in St. Louis (US)
Quality Education
Openalex Percentile: Top 29%
Dementia and Cognitive Impairment Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.