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Towards individualized cortical thickness assessment for clinical routine
1Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany. marlene.tahedl@stud.uni-regensburg.de.
Journal of Translational Medicine
|April 5, 2020
Summary
This study introduces a validated method for rating individual cortical thickness, aiding early detection of brain atrophy. This approach enhances clinical diagnosis and prognosis by identifying subtle changes before they are visible on MRI scans.
Area of Science:
- Neuroimaging
- Biomarkers
- Neurology
Background:
- Cortical thickness, derived from T1-weighted MRI, is a key neuroimaging biomarker.
- While correlated with neurological and psychiatric conditions, its clinical use is limited by a lack of standardized reference systems for individual data.
- No established method exists to rate individual cortical thickness against control populations for routine clinical application.
Purpose of the Study:
- To develop and validate methods for assessing the statistical significance of cortical thinning (atrophy) in individual subjects.
- To establish a reference system for rating individual cortical thickness data against control populations.
- To improve the clinical utility of cortical thickness measurements for diagnosis and prognosis.
Main Methods:
- Compared nonparametric methods for assessing statistical significance of cortical thinning.
- Utilized Human Connectome Project (HCP) data (n=1000) for null distribution calculation and (n=113) for sensitivity/specificity analysis.
- Simulated atrophy to assess method sensitivity and calculated validation measures cumulatively and regionally.
Main Results:
- The optimal method involved generating null distributions for distinct brain regions based on extreme population values.
- Achieved high cumulative specificity (98.9%) and sensitivity (80%) for simulated atrophy of 23%.
- Demonstrated regional variations in atrophy detection, supporting differential diagnosis.
Conclusions:
- Validated rating of individual cortical thickness measures is now feasible for clinical routine.
- Enables early detection of atrophy signs on MRI, potentially before visual identification.
- Regional validation facilitates the detection of distinct atrophy patterns, enhancing differential diagnosis and prognosis.

