Prevalent and characteristic alterations in blood-brain transcriptomic-functional imaging coupling in schizophrenia.

Cross-Modal Brain Network Disruptions in Schizophrenia: Insights from Multiplex Modeling and Transcriptomic Associations.

Multiplex network modeling uncovers cross-modal disruptions in brain organization in SCZ and links these alterations to specific molecular pathways and glial-neuronal substrates, providing multiscale insights into the disorder's neurobiology.

Connection-Level Multi-Omics Reveals Cerebellar-Cortical Dysconnectivity and Divergent Molecular Signatures Across Major Psychiatric Disorders.

BACKGROUND Understanding how disease-related connectome alterations relate to underlying molecular systems remains a major challenge in psychiatric disorders. METHODS Here we introduce BrainNetAnno (https://brainnetanno.readthedocs.io/en/latest), an open-source framework for molecular annotation of brain network conn...

Integrative Multi-Tissue Analysis Identifies Synaptic Gene Networks Specific to Major Depressive Disorder in Women

Identification of a shared blood-brain transcriptomic signature in Parkinson's disease using bioinformatic and network pharmacology approaches.

Parkinsons disease, characterized by the aggregation of alpha-synuclein is a complex neurodegenerative disorder with the fastest global prevalence growth. The identification of shared genes expressed in both blood and brain of Parkinson's disease patients improves the knowledge on peripheral pathophysiology of the dise...

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...

Single-cell atlas of transcriptomic vulnerability across brain disorders

Neurodegenerative and neuropsychiatric diseases impose a considerable societal and public health burden. However, our understanding of the molecular mechanisms underlying these highly complex conditions remains limited1,2. Here, to gain deeper insights into the aetiology of different brain diseases, we used specimens f...