ArticleJournal of psychiatry & neuroscience : JPN2020
Magnetic resonance imaging texture predicts progression to dementia due to Alzheimer disease earlier than hippocampal volume
Article in Journal of psychiatry & neuroscience : JPN, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Effects of a 5-week heart rate biofeedback randomized intervention on texture in the Alzheimer's Disease signature cortical region.Research square · 2026Article
- Spinal Cord Radiomics-Driven Machine Learning Predicts Meaningful Clinical Improvement After Surgery for Degenerative Cervical Myelopathy: A Pilot Study.Journal of imaging informatics in medicine · 2026Article
- Magnetic resonance texture alterations in the caudate nucleus following 18 weeks of clozapine treatment in patients with treatment-resistant schizophrenia.Translational psychiatry · 2026Article
- Magnetic Resonance Imaging Textural Changes Are More Sensitive Than Volumetric Changes in the Amygdala of Cocaine Use Disorder Patients.NMR in biomedicine · 2026Article
- Characteristic volume, texture, and functional connectivity alterations in hypothalamic subunits of adult primary hypothyroidism: a multiparametric MRI analysis.Journal of endocrinological investigation · 2025Article
- Quantitative magnetic resonance imaging in Alzheimer's disease: a narrative review.Quantitative imaging in medicine and surgery · 2025Review
- MRI textural plasticity in limbic gray matter associated with clinical response to electroconvulsive therapy for psychosis.Molecular psychiatry · 2025Article
- A Comparison of the Brain Parameters of Thais with Normal Cognition, Mild Cognitive Impairment, and Dementia.Brain sciences · 2025Article
- Information Geometry and Manifold Learning: A Novel Framework for Analyzing Alzheimer's Disease MRI Data.Diagnostics (Basel, Switzerland) · 2025Article
- Alzheimer's disease biomarkers and their current use in clinical research and practice.Molecular psychiatry · 2025Review
- Microstructural grey matter alterations in patients with behavioural variant frontotemporal dementia.Brain communications · 2025Article
- Article
- Texture-based morphometry in relation to apolipoprotein ε4 genotype, ageing and sex in a midlife population.Human brain mapping · 2024Article
- Radiomic features of the hippocampal based on magnetic resonance imaging in the menopausal mouse model linked to neuronal damage and cognitive deficits.Brain imaging and behavior · 2024Article
- Consensus on rapid screening for prodromal Alzheimer's disease in China.General psychiatry · 2024Review
- Magnetic resonance texture analysis reveals stagewise nonlinear alterations of the frontal gray matter in patients with early psychosis.Molecular psychiatry · 2023Article
- A Case-Control Clinical Trial on a Deep Learning-Based Classification System for Diagnosis of Amyloid-Positive Alzheimer's Disease.Psychiatry investigation · 2023Article
- Textural and Volumetric Changes of the Temporal Lobes in Semantic Variant Primary Progressive Aphasia and Alzheimer's Disease.Journal of Korean medical science · 2023Article
- Longitudinal changes in hippocampal texture from healthy aging to Alzheimer's disease.Brain communications · 2023Article
- Deep learning-based diagnosis of Alzheimer's disease using brain magnetic resonance images: an empirical study.Scientific reports · 2022Article
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4 authors.
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Abstract
Background: Early identification of people at risk of imminent progression to dementia due to Alzheimer disease is crucial for timely intervention and treatment. We investigated whether the texture of MRI brain scans could predict the progression of mild cognitive impairment (MCI) to Alzheimer disease earlier than volume. Methods: We constructed a development data set (121 people who were cognitively normal and 145 who had mild Alzheimer disease) and a validation data set (113 patients with stable MCI who did not progress to Alzheimer disease for 3 years; 40 with early MCI who progressed to Alzheimer disease after 12–36 months; and 41 with late MCI who progressed to Alzheimer disease within 12 months) from the Alzheimer’s Disease Neuroimaging Initiative. We analyzed the texture of the hippocampus, precuneus and posterior cingulate cortex using a grey-level co-occurrence matrix. We constructed texture and volume indices from the development data set using logistic regression. Using area under the curve (AUC) of receiver operator characteristics, we compared the accuracy of hippocampal volume, hippocampal texture and the composite texture of the hippocampus, precuneus and posterior cingulate cortex in predicting conversion from MCI to Alzheimer disease in the validation data set. Results: Compared with hippocampal volume, hippocampal texture (0.790 v. 0.739, p = 0.047) and composite texture (0.811 v. 0.739, p = 0.007) showed larger AUCs for conversion to Alzheimer disease from both early and late MCI. Hippocampal texture showed a marginally larger AUC than hippocampal volume in early MCI (0.795 v. 0.726, p = 0.060). Composite texture showed a larger AUC for conversion to Alzheimer disease than hippocampal volume in both early (0.817 v. 0.726, p = 0.027) and late MCI (0.805 v. 0.753, p = 0.019). Limitations: This study was limited by the absence of histological data, and the pathology reflected by the texture measures remains to be validated. Conclusion: Textures of the hippocampus, precuneus and posterior cingulate cortex predicted conversion from MCI to Alzheimer disease at an earlier time point and with higher accuracy than hippocampal volume.
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