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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Shi-Jun Qiu

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Open access Sep 2026

Limbic‐Predominant Cortical Magnetic Susceptibility Alterations Are Associated With Glycemic Dysregulation and Cognitive Performance in Type 2 Diabetes

ABSTRACT Aims To characterize the spatial pattern of cortical magnetic susceptibility alterations in Type 2 diabetes mellitus (T2DM) and to determine whether hyperglycemia moderates the association between regional cortical QSM values and cognitive performance. Methods In this cross‐sectional study, 145 patients with T...

Kun Wang, Dan Hu, Jia-He Wang et al. · 0 citations
Open access Sep 2026

Multimodal network alterations in diagnosis-age-defined early- and late-onset Alzheimer’s disease

Introduction Early-onset Alzheimer’s disease (EOAD) and late-onset Alzheimer’s disease (LOAD) may differ in large-scale network organization. We compared multimodal MRI markers of diagnosis-age-defined Alzheimer’s phenotypes. Methods Alzheimer’s Disease Neuroimaging Initiative participants were classified by age at fir...

Ze-Song Yuan, Jing Wang, Bao-Hua Cheng et al. · 0 citations
Open access Aug 2026

Candidate Right Locus Coeruleus‐Centered Symptom Pathways in Young Major Depressive Disorder: A Multimodal Magnetic Resonance Imaging Study

SN/LC catecholaminergic MRI phenotypes are associated with depressive severity and right LC‐centered functional connectivity, supporting candidate circuit‐level associations linking brainstem neuromodulatory phenotypes to clinical expression in MDD.

Ze-Song Yuan, Jing Wang, Danian Li et al. · 0 citations
Open access Aug 2026

Normative modelling of cortical networks identifies subtypes of type 2 diabetes associated with distinct clinical and transcriptomic profiles

Type 2 diabetes (T2D) is characterized by substantial clinical heterogeneity, yet its neurobiological substrates remain unclear. Here, we leverage normative modelling of cortical morphometric networks to quantify individual-level brain deviations using structural MRI data from 3,723 participants (1,941 T2D patients and...

Xiaoyue Wang, Zhizhong Sun, Jian-Cheng Cao et al. · 0 citations

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