ArticleJournal of translational medicine2020
Towards individualized cortical thickness assessment for clinical routine.
Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Structural Neuroimaging Correlates of Neuropsychiatric Symptoms in Alzheimer's Disease: A Systematic Literature Review.Dementia and geriatric cognitive disorders · 2025Pooled it
- Brain patterns and risk factors in the FINGER RCT multimodal lifestyle intervention.The journal of prevention of Alzheimer's disease · 2025Trial
- Vertexwise Cortical Deviation Mapping (VCDM): A precision approach to cortical thickness assessment in non-affective psychosis.Brain imaging and behavior · 2026Article
- Risk and protective factors associated with brain grey matter patterns in a population-based cohort of cognitively unimpaired 70 years old.BMC medicine · 2025Article
- Structural and Functional Brain Changes in Children and Adolescents With Obesity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Review
- Cortical thickness deviations as biomarker for subtyping and prognosis in pediatric brainstem tumors.Scientific reports · 2025Article
- Functional Connectivity and MRI Radiomics Biomarkers of Cognitive and Brain Reserve in Post-Stroke Cognitive Impairment Prediction-A Study Protocol.Life (Basel, Switzerland) · 2025Article
- Domain-Specific Prediction of Clinical Progression in Parkinson's Disease Using the Mosaic Approach.Brain and behavior · 2025Article
- V2C-Long: Longitudinal cortex reconstruction with spatiotemporal correspondence.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Benefits of a mosaic approach for assessing cortical atrophy in individual multiple sclerosis patients.Brain and behavior · 2023Article
- Article
- Thalamic structure and anastomosis in different hemispheres of moyamoya disease.Frontiers in neuroscience · 2022Article
- Moyamoya Disease With Initial Ischemic or Hemorrhagic Attack Shows Different Brain Structural and Functional Features: A Pilot Study.Frontiers in neurology · 2022Article
- Cortical progression patterns in individual ALS patients across multiple timepoints: a mosaic-based approach for clinical use.Journal of neurology · 2021Article
- Human Leukocyte Antigen (HLA) Alleles Prevent Metabolically-Induced Inflammation and Cerebrocortical Thinning in Gulf War Illness.Journal of neurology & neuromedicine · 2020Article
- Compensating cortical thickness for cortical folding-related variation.Imaging neuroscience (Cambridge, Mass.)Article
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Abstract
backgroundCortical thickness measures the width of gray matter of the human cortex. It can be calculated from T1-weighted magnetic resonance images (MRI). In group studies, this measure has been shown to correlate with the diagnosis/prognosis of a number of neurologic and psychiatric conditions, but has not been widely adapted for clinical routine. One of the reasons for this might be that there is no reference system which allows to rate individual cortical thickness data with respect to a control population.
methodsTo address this problem, this study compared different methods to assess statistical significance of cortical thinning, i.e. atrophy. All compared methods were nonparametric and encompassed rating an individual subject's data set with respect to a control data population. Null distributions were calculated using data from the Human Connectome Project (HCP, n = 1000), and an additional HCP data set (n = 113) was used to calculate sensitivity and specificity to compare the different methods, whereas atrophy was simulated for sensitivity assessment. Validation measures were calculated for the entire cortex ("cumulative") and distinct brain regions ("regional") where possible.
resultsThe approach yielding the highest combination of specificity and sensitivity implemented generating null distributions for anatomically distinct brain regions, based on the most extreme values observed in the population. With that method, while regional variations were observed, cumulative specificity of 98.9% and cumulative sensitivity at 80% was achieved for simulated atrophy of 23%.
conclusionsThis study shows that validated rating of individual cortical thickness measures is possible, which can help clinicians in their daily routine to discover signs of atrophy before they become visually apparent on an unprocessed MRI. Furthermore, given different pathologies present with distinct atrophy patterns, the regional validation proposed here allows to detect distinct patterns of atrophy, which can further enhance differential diagnosis/prognosis.
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