ArticleFrontiers in neuroscience2018
Alterations of Graphic Properties and Related Cognitive Functioning Changes in Mild Alzheimer's Disease Revealed by Individual Morphological Brain Network.
Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Individualized metabolic brain network alterations in diffuse large B-cell lymphoma: anBMC medical imaging · 2026Article
- Similar minds age alike: an MRI similarity approach for predicting age-related cognitive decline.npj aging · 2026Article
- Disrupted morphological brain network organization in subjective cognitive decline and mild cognitive impairment.Brain imaging and behavior · 2024Article
- Distinguishing Patients with MRI-Negative Temporal Lobe Epilepsy from Normal Controls Based on Individual Morphological Brain Network.Brain topography · 2023Article
- Aberrant topological organization and age-related differences in the human connectome in subjective cognitive decline by using regional morphology from magnetic resonance imaging.Brain structure & function · 2022Article
- Functional connectome of arousal and motor brainstem nuclei in living humans by 7 Tesla resting-state fMRI.NeuroImage · 2022Article
- Identification of Alzheimer's Disease Progression Stages Using Topological Measures of Resting-State Functional Connectivity Networks: A Comparative Study.Behavioural neurology · 2022Article
- Brain Structural Network Compensation Is Associated With Cognitive Impairment and Alzheimer's Disease Pathology.Frontiers in neuroscience · 2021Article
- Jidong cognitive impairment cohort study: objectives, design, and baseline screening.Neural regeneration research · 2020Article
- Connectome analysis of brain functional network alterations in breast cancer survivors with and without chemotherapy.PloS one · 2020Article
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Authors and funding
8 authors.
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Abstract
Alzheimer's disease (AD) is one of the most common forms of dementia that has slowly negative impacts on memory and cognition. With the assistance of multimodal brain networks and graph-based analysis approaches, AD-related network disruptions support the hypothesis that AD can be identified as a dysconnectivity syndrome. However, as the recent emerging of individual-based morphological network research of AD, the utilization of multiple morphometric features may provide a broader horizon for locating the lesions. Therefore, the present study applied the newly proposed individual morphological brain network with five commonly used morphometric features (cortical thickness, regional volume, surface area, mean curvature, and fold index) to explore the topological aberrations and their relationship with cognitive functioning alterations in the early stage of AD. A total of 40 right-handed participants were selected from Open Access Series of Imaging Studies Database with 20 AD patients (age ranged from 70 to 79, CDR = 0.5) and 20 age/gender-matched healthy controls. The significantly affected connections (
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