Classification of mild cognitive impairment developmental trajectories using multispatial scale structural brain networks.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	Classification of mild cognitive impairment developmental trajectories using multispatial scale structural brain networks.
Συγγραφείς:	Zhang C; Neurological Sub-intensive Care Department, Yancheng First Hospital, The Yancheng Clinical College of Xuzhou Medical University., Song C; Neurological Sub-intensive Care Department, Yancheng Third People's Hospital, The Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng, China., Li X; Neurological Sub-intensive Care Department, Yancheng First Hospital, The Yancheng Clinical College of Xuzhou Medical University., Duan Y; Neurological Sub-intensive Care Department, Yancheng First Hospital, The Yancheng Clinical College of Xuzhou Medical University., Liu W; Neurological Sub-intensive Care Department, Yancheng First Hospital, The Yancheng Clinical College of Xuzhou Medical University., Lu Z; Neurological Sub-intensive Care Department, Yancheng First Hospital, The Yancheng Clinical College of Xuzhou Medical University.
Πηγή:	Neuroreport [Neuroreport] 2025 Nov 05; Vol. 36 (16), pp. 976-987. Date of Electronic Publication: 2025 Sep 19.
Τύπος έκδοσης:	Journal Article; Research Support, Non-U.S. Gov't
Γλώσσα:	English
Στοιχεία περιοδικού:	Publisher: Lippincott Williams & Wilkins Country of Publication: England NLM ID: 9100935 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1473-558X (Electronic) Linking ISSN: 09594965 NLM ISO Abbreviation: Neuroreport Subsets: MEDLINE
Imprint Name(s):	Publication: London, England : Lippincott Williams & Wilkins Original Publication: Oxford, UK : Rapid Communications of Oxford Ltd., [1990-
Ιατρικοί όροι (MeSH):	Cognitive Dysfunction/classification , Cognitive Dysfunction/diagnostic imaging , Cognitive Dysfunction/pathology , Brain/pathology , Brain/diagnostic imaging , Nerve Net/diagnostic imaging , Nerve Net*/pathology, Alzheimer Disease/diagnostic imaging ; Alzheimer Disease/pathology ; Humans ; Aged ; Male ; Female ; Magnetic Resonance Imaging ; Aged, 80 and over
Περίληψη:	Objective: In this study, we investigated the interactions between brain regions at different scales in patients with mild cognitive impairment (MCI) to classify patients with MCI who may develop Alzheimer's disease (MCI-Converter (MCI-c)) and those with stable cognitive states (MCI-Stable (MCI-s)) at multiple spatial scales. Methods: We divided the brain into 210, 40, and 12 regions, respectively, based on anatomical a priori, and then extracted six morphological features. Based on this, an intralayer structural brain network was constructed to detect connections between brain regions at different levels, and an interlayer network was constructed to explore connections between different spatial scales. Then these two networks were merged into a whole-brain network and trained the classifier after feature selection. Results: Our study successfully identified meaningful connectivity features for precise classification, achieving an accuracy of 92.41%. In addition, some frequently reported abnormal brain regions were localized to more precise regions. Conclusion: The human brain is a complex system with multiple spatial and temporal scales and multiple levels, showing a large number of emergent phenomena. Understanding the hierarchical relationship between brain structure and function is crucial. The network we constructed is not only important for MCI classification, but also holds promise for investigating other neurological conditions and elucidating brain development processes. Limitations include that model training and evaluation used only the Alzheimer's Disease Neuroimaging Initiative cohort; independent cohort validation is required to confirm generalizability. Moreover, integration with other imaging modalities (e.g. functional MRI and PET) may further improve prediction and will be explored in future work. (Copyright © 2025 Wolters Kluwer Health, Inc. All rights reserved.)
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Contributed Indexing:	Keywords: classification; interlayer networks; intralayer networks; mild cognitive impairment; sMRI
Entry Date(s):	Date Created: 20250930 Date Completed: 20250930 Latest Revision: 20260629
Update Code:	20260629
DOI:	10.1097/WNR.0000000000002218
PMID:	41025578
Βάση Δεδομένων:	MEDLINE

Περιγραφή
ISSN:	1473-558X
DOI:	10.1097/WNR.0000000000002218