ArticleHuman brain mapping2014
Hippocampal shape is predictive for the development of dementia in a normal, elderly population.
Article in Human brain mapping, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Textural features of the frontal white matter could be used to discriminate amnestic mild cognitive impairment patients from the normal population.Brain and behavior · 2023Trial
- Predicting Future Brain Atrophy Based on Longitudinal MRI.medRxiv : the preprint server for health sciences · 2025Article
- Deep Learning-Based Diagnosis Algorithm for Alzheimer's Disease.Journal of imaging · 2024Article
- Disparities in the diagnostic efficacy of radiomics models in predicting various degrees of cognitive impairment in patients with cerebral small vessel disease.BMC medical imaging · 2024Article
- A multi-cohort study of the hippocampal radiomics model and its associated biological changes in Alzheimer's Disease.Translational psychiatry · 2024Article
- Temporal atrophy together with verbal encoding impairment is highly predictive for cognitive decline in typical Alzheimer's dementia - a retrospective follow-up study.Frontiers in psychiatry · 2024Article
- Development and validation of an automatic classification algorithm for the diagnosis of Alzheimer's disease using a high-performance interpretable deep learning network.European radiology · 2023Article
- Article
- Advanced Diagnostic Technique for Alzheimer's Disease using MRI Top-Ranked Volume and Surface-based Features.Journal of biomedical physics & engineering · 2022Article
- Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages.IEEE transactions on medical imaging · 2020Article
- Transdiagnostic hippocampal damage patterns in neuroimmunological disorders.NeuroImage. Clinical · 2020Article
- Multimodal Hippocampal Subfield Grading For Alzheimer's Disease Classification.Scientific reports · 2019Article
- Subcortical amyloid load is associated with shape and volume in cognitively normal individuals.Human brain mapping · 2019Article
- Hippocampal alterations and functional correlates in adolescents and young adults with congenital heart disease.Human brain mapping · 2019Article
- [A new method for classification of Alzheimer's disease combined with structural magnetic resonance imaging texture features].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2019Article
- Brain MR Radiomics to Differentiate Cognitive Disorders.The Journal of neuropsychiatry and clinical neurosciences · 2019Article
- Secondary prevention of Alzheimer's dementia: neuroimaging contributions.Alzheimer's research & therapy · 2018Review
- Alzheimer's disease: 3-Dimensional MRI texture for prediction of conversion from mild cognitive impairment.Alzheimer's & dementia (Amsterdam, Netherlands) · 2018Article
- Radiomic Features of Hippocampal Subregions in Alzheimer's Disease and Amnestic Mild Cognitive Impairment.Frontiers in aging neuroscience · 2018Article
- Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry.NeuroImage. Clinical · 2017Article
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7 authors.
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Abstract
Previous studies have shown that hippocampal volume is an early marker for dementia. We investigated whether hippocampal shape characteristics extracted from MRI scans are predictive for the development of dementia during follow up in subjects who were nondemented at baseline. Furthermore, we assessed whether hippocampal shape provides additional predictive value independent of hippocampal volume. Five hundred eleven brain MRI scans from elderly nondemented participants of a prospective population-based imaging study were used. During the 10-year follow-up period, 52 of these subjects developed dementia. For training and evaluation independent of age and gender, a subset of 50 cases and 150 matched controls was selected. The hippocampus was segmented using an automated method. From the segmentation, the volume was determined and a statistical shape model was constructed. We trained a classifier to distinguish between subjects who developed dementia and subjects who stayed cognitively healthy. For all subjects the a posteriori probability to develop dementia was estimated using the classifier in a cross-validation experiment. The area under the ROC curve for volume, shape, and the combination of both were, respectively, 0.724, 0.743, and 0.766. A logistic regression model showed that adding shape to a model using volume corrected for age and gender increased the global model-fit significantly (P = 0.0063). We conclude that hippocampal shape derived from MRI scans is predictive for dementia before clinical symptoms arise, independent of age and gender. Furthermore, the results suggest that hippocampal shape provides additional predictive value over hippocampal volume and that combining shape and volume leads to better prediction.
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