Weekly Digest
Weekly ToC Digest (week of 2026-05-25)
Prioritizing articles related to brain-age modeling, neuroimaging biomarkers, harmonization, and computational methods. Prioritized brain age prediction and neuroimaging biomarkers. No items relevant to brain-aging, brain-age models, or related computational methods were found in this week’s feed. No papers related to brain age modeling were found in this week’s selection.
Included: 3 (score ≥ 0.35)
Scored: 5 total items
Brain age prediction in generalized anxiety disorder using a convolutional neural network
Trans Psychiatry
Score: 1.00
Published: 2026-05-24T00:00:00+00:00 Tags: brain age, generalization, CNN, neuroimaging
Title focuses directly on brain age prediction using computational models (CNNs) and relates to psychiatric disorders, aligning well with multiple interests: brain age, model application in psychiatry.
RSS summary
Translational Psychiatry, Published online: 24 May 2026; doi:10.1038/s41398-026-04078-3
Brain age prediction in generalized anxiety disorder using a convolutional neural network
Predicting Autopsy-Confirmed Neuropathology across Clinical, Neuroimaging, and CSF Biomarkers using Machine Learning
bioRxiv
Score: 0.90
Published: 2026-05-23T00:00:00+00:00 Tags: MRI, machine learning, neuroimaging
Integrates neuroimaging and machine learning to predict neuropathology, relevant for computational modeling in brain aging.
RSS summary
Accurate in vivo prediction of neuropathology is critical for advancing diagnosis and treatment of Alzheimer’s disease and related dementias (ADRDs). As many individuals with ADRDs have mixed pathologies ({beta}-amyloid, pathologic tau, cerebrovascular disease, vascular brain injury, pathologic TDP-43, hippocampal sclerosis, Lewy bodies), there is interest in determining how accurately we can infer these pathologic changes from clinical data, biofluid assays (e.g., CSF), and neuroimaging. Here w…