ArticlePsychiatry research. Neuroimaging2022
Impact of physiological factors on longitudinal structural MRI measures of the brain.
Article in Psychiatry research. Neuroimaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
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- Factors Contributing to Short-Term Structural Variability in a Longitudinal MRI Dataset.Human brain mapping · 2026Article
- Assessment of a diffusion phantom for quality assurance in brain microstructure diffusion MRI studies.Scientific reports · 2025Article
- Cross-Modality Image Translation of 3 Tesla Magnetic Resonance Imaging to 7 Tesla Using Generative Adversarial Networks.Human brain mapping · 2025Article
- SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputation.Patterns (New York, N.Y.) · 2025Article
- Mapping Thyroid Hormone Action in the Human Brain.Thyroid : official journal of the American Thyroid Association · 2024Review
- Automated brain segmentation and volumetry in dementia diagnostics: a narrative review with emphasis on FreeSurfer.Frontiers in aging neuroscience · 2024Review
- Valproate associated brain volume-loss in pediatric epilepsy-A case series.Epilepsia open · 2023Article
- Time of day dependent longitudinal changes in resting-state fMRI.Frontiers in neurology · 2023Article
- Acute Heart Failure, 90-Day Mortality, and Gravitational Ischemia in the Brain.Diagnostics (Basel, Switzerland) · 2022Article
- Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Longitudinal MRI is used in clinical research studies to examine illness progression, neurodevelopment, and the effect of medical interventions. Such studies typically report changes in brain volume of less than 5%. However, there is a concern that these findings could be obscured or confounded by small changes in brain volume estimates caused by physiological factors such as, dehydration, blood pressure, caffeine levels, and circadian rhythm. In this study, MRI scans using the ADNI-III protocol were acquired from 20 participants (11 female) at two time points (mean interval = 20.3 days). Hydration, systolic and diastolic blood pressure, caffeine intake, and time of day were recorded at both visits. Images were processed using FreeSurfer. Three a priori hypothesised brain regions (hippocampus, lateral ventricles, and total brain) were selected, and an exploratory analysis was conducted on FreeSurfer's auto-segmented brain regions. There was no significant effect of the physiological factors on changes in the hypothesised brain regions. We provide estimates for the maximum percentage change in regional brain volumes that could be expected to occur from normal variation in each of the physiological measures. In this study, normal variations in physiological parameters did not have a detectable effect on longitudinal changes in brain volume.
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Registered trials
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.