Academic Journal
MIND-based cortical similarity networks reveal distinct cortical alterations in motor subtypes of Parkinson's disease.
| Τίτλος: | MIND-based cortical similarity networks reveal distinct cortical alterations in motor subtypes of Parkinson's disease. |
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| Συγγραφείς: | Bianco MG; Neuroscience Research Center, Magna Graecia University of Catanzaro, Catanzaro, Viale Europa, Catanzaro, 88100, Italy; Department of Medical and Surgical Science, Magna Graecia University of Catanzaro, Viale Europa, Catanzaro, 88100, Italy. Electronic address: mg.bianco@unicz.it., Calomino C; Neuroscience Research Center, Magna Graecia University of Catanzaro, Catanzaro, Viale Europa, Catanzaro, 88100, Italy; Department of Medical and Surgical Science, Magna Graecia University of Catanzaro, Viale Europa, Catanzaro, 88100, Italy., Novellino F; Neuroscience Research Center, Magna Graecia University of Catanzaro, Catanzaro, Viale Europa, Catanzaro, 88100, Italy; Department of Medical and Surgical Science, Magna Graecia University of Catanzaro, Viale Europa, Catanzaro, 88100, Italy., Crasà M; Neuroscience Research Center, Magna Graecia University of Catanzaro, Catanzaro, Viale Europa, Catanzaro, 88100, Italy., Augimeri A; Biotecnomed S.C.aR.L, Viale Europa, Catanzaro, 88100, Italy., Quattrone A; Neuroscience Research Center, Magna Graecia University of Catanzaro, Catanzaro, Viale Europa, Catanzaro, 88100, Italy., Quattrone A; Neuroscience Research Center, Magna Graecia University of Catanzaro, Catanzaro, Viale Europa, Catanzaro, 88100, Italy; Department of Medical and Surgical Science, Magna Graecia University of Catanzaro, Viale Europa, Catanzaro, 88100, Italy; Institute of Neurology, Department of Medical and Surgical Science, Magna Graecia University of Catanzaro, Viale Europa, Catanzaro, 88100, Italy., Nisticò R; Neuroscience Research Center, Magna Graecia University of Catanzaro, Catanzaro, Viale Europa, Catanzaro, 88100, Italy; Department of Medical and Surgical Science, Magna Graecia University of Catanzaro, Viale Europa, Catanzaro, 88100, Italy. Electronic address: r.nistico@unicz.it. |
| Πηγή: | NeuroImage [Neuroimage] 2026 Oct 15; Vol. 340, pp. 122245. Date of Electronic Publication: 2026 Sep 18. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Academic Press Country of Publication: United States NLM ID: 9215515 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9572 (Electronic) Linking ISSN: 10538119 NLM ISO Abbreviation: Neuroimage Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Orlando, FL : Academic Press, c1992- |
| Ιατρικοί όροι (MeSH): | Parkinson Disease*/diagnostic imaging , Parkinson Disease*/physiopathology , Parkinson Disease*/pathology , Parkinson Disease*/classification , Cerebral Cortex*/diagnostic imaging , Cerebral Cortex*/physiopathology , Cerebral Cortex*/pathology , Nerve Net*/diagnostic imaging , Nerve Net*/physiopathology , Tremor*/physiopathology , Tremor*/diagnostic imaging , Tremor*/etiology, Magnetic Resonance Imaging/methods ; Humans ; Female ; Male ; Middle Aged ; Aged ; Machine Learning ; Clustering Algorithms |
| Περίληψη: | Parkinson's disease (PD) is a biologically heterogeneous disorder, yet conventional motor classifications may not fully reflect underlying cortical organization. We combined Morphometric INverse Divergence (MIND) networks, data-driven clustering, and explainable machine learning to investigate cortical morphometric heterogeneity in 219 patients with PD and 146 healthy controls. HYDRA clustering of regional MIND strength identified two stable cortical subgroups characterized by globally lower (Cluster 1) versus higher (Cluster 2) morphometric similarity, which only partially overlapped with tremor-dominant (TD) and postural instability/gait difficulty (PIGD) phenotypes. Combining cluster membership with clinical classification yielded four stratified subgroups. Supervised machine learning within a nested cross-validation framework then tested whether MIND-derived patterns discriminated these subgroups better than clinical labels. Discrimination between TD and PIGD was limited (AUC ≈ 0.53-0.55), but markedly higher within clinical phenotypes (AUC up to 0.96 for TD Cluster 1 vs. Cluster 2 and 0.85 for PIGD Cluster 1 vs. Cluster 2) and across subgroup contrasts (AUC 0.90-0.93). The two-cluster organization was replicated in the independent multi-site PPMI cohort, where the discovery-trained classifier also transferred without retraining (AUC = 0.79), supporting generalizability. SHAP analyses showed that the discriminative features were distributed across frontotemporal, frontoparietal, cingulate, and temporo-occipital similarity pairs, involving regions anatomically assigned to the Default Mode, Frontoparietal Control, Salience/Ventral Attention, Visual, and Somatomotor networks. In PIGD Cluster 1, reduced morphometric similarity between regions assigned to the Somatomotor and Frontoparietal Control networks was associated with greater motor severity. These findings indicate that individualized morphometric similarity networks capture a dimension of PD heterogeneity beyond conventional motor phenotypes and may provide a biologically informed framework for patient stratification. (Copyright © 2026 The Authors. Published by Elsevier Inc. All rights reserved.) |
| Competing Interests: | Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. |
| Contributed Indexing: | Keywords: MIND network; Machine learning; Morphological similarity networks; PIGD; Parkinson’s disease; Tremor-dominant |
| Entry Date(s): | Date Created: 20260918 Date Completed: 20260929 Latest Revision: 20260929 |
| Update Code: | 20260930 |
| DOI: | 10.1016/j.neuroimage.2026.122245 |
| PMID: | 42759785 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1095-9572 |
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| DOI: | 10.1016/j.neuroimage.2026.122245 |