Unraveling Lifelong Brain Morphometric Dynamics: A Protocol for Systematic Review and Meta-Analysis in Healthy Neurodevelopment and Ageing
Issued Date
2023-07-01
Resource Type
eISSN
22279059
Scopus ID
2-s2.0-85168299074
Journal Title
Biomedicines
Volume
11
Issue
7
Rights Holder(s)
SCOPUS
Bibliographic Citation
Biomedicines Vol.11 No.7 (2023)
Suggested Citation
Statsenko Y., Habuza T., Smetanina D., Simiyu G.L., Meribout S., King F.C., Gelovani J.G., Das K.M., Gorkom K.N.V., Zaręba K., Almansoori T.M., Szólics M., Ismail F., Ljubisavljevic M. Unraveling Lifelong Brain Morphometric Dynamics: A Protocol for Systematic Review and Meta-Analysis in Healthy Neurodevelopment and Ageing. Biomedicines Vol.11 No.7 (2023). doi:10.3390/biomedicines11071999 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/90908
Title
Unraveling Lifelong Brain Morphometric Dynamics: A Protocol for Systematic Review and Meta-Analysis in Healthy Neurodevelopment and Ageing
Other Contributor(s)
Abstract
A high incidence and prevalence of neurodegenerative diseases and neurodevelopmental disorders justify the necessity of well-defined criteria for diagnosing these pathologies from brain imaging findings. No easy-to-apply quantitative markers of abnormal brain development and ageing are available. We aim to find the characteristic features of non-pathological development and degeneration in distinct brain structures and to work out a precise descriptive model of brain morphometry in age groups. We will use four biomedical databases to acquire original peer-reviewed publications on brain structural changes occurring throughout the human life-span. Selected publications will be uploaded to Covidence systematic review software for automatic deduplication and blinded screening. Afterwards, we will manually review the titles, abstracts, and full texts to identify the papers matching eligibility criteria. The relevant data will be extracted to a ‘Summary of findings’ table. This will allow us to calculate the annual rate of change in the volume or thickness of brain structures and to model the lifelong dynamics in the morphometry data. Finally, we will adjust the loss of weight/thickness in specific brain areas to the total intracranial volume. The systematic review will synthesise knowledge on structural brain change across the life-span.