Impact of physiological factors on longitudinal structural MRI measures of the brain
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 s...
| Main Authors: | , , , , , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
Elsevier
2022
|
| _version_ | 1797107441463197696 |
|---|---|
| author | Zahid, U Hedges, EP Dimitrov, M Murray, RM Barker, GJ Kempton, MJ |
| author_facet | Zahid, U Hedges, EP Dimitrov, M Murray, RM Barker, GJ Kempton, MJ |
| author_sort | Zahid, U |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-03-07T07:16:08Z |
| format | Journal article |
| id | oxford-uuid:f9ff5e76-69b0-4a09-9d11-c1118fe2f53e |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:16:08Z |
| publishDate | 2022 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:f9ff5e76-69b0-4a09-9d11-c1118fe2f53e2022-08-04T12:59:17ZImpact of physiological factors on longitudinal structural MRI measures of the brainJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f9ff5e76-69b0-4a09-9d11-c1118fe2f53eEnglishSymplectic ElementsElsevier2022Zahid, UHedges, EPDimitrov, MMurray, RMBarker, GJKempton, MJLongitudinal 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. |
| spellingShingle | Zahid, U Hedges, EP Dimitrov, M Murray, RM Barker, GJ Kempton, MJ Impact of physiological factors on longitudinal structural MRI measures of the brain |
| title | Impact of physiological factors on longitudinal structural MRI measures of the brain |
| title_full | Impact of physiological factors on longitudinal structural MRI measures of the brain |
| title_fullStr | Impact of physiological factors on longitudinal structural MRI measures of the brain |
| title_full_unstemmed | Impact of physiological factors on longitudinal structural MRI measures of the brain |
| title_short | Impact of physiological factors on longitudinal structural MRI measures of the brain |
| title_sort | impact of physiological factors on longitudinal structural mri measures of the brain |
| work_keys_str_mv | AT zahidu impactofphysiologicalfactorsonlongitudinalstructuralmrimeasuresofthebrain AT hedgesep impactofphysiologicalfactorsonlongitudinalstructuralmrimeasuresofthebrain AT dimitrovm impactofphysiologicalfactorsonlongitudinalstructuralmrimeasuresofthebrain AT murrayrm impactofphysiologicalfactorsonlongitudinalstructuralmrimeasuresofthebrain AT barkergj impactofphysiologicalfactorsonlongitudinalstructuralmrimeasuresofthebrain AT kemptonmj impactofphysiologicalfactorsonlongitudinalstructuralmrimeasuresofthebrain |