[HTML][HTML] A microbial-based approach to mental health: the potential of probiotics in the treatment of depression

D Johnson, V Letchumanan, CC Thum… - Nutrients, 2023 - mdpi.com
Probiotics are currently the subject of intensive research pursuits and also represent a multi-
billion-dollar global industry given their vast potential to improve human health. In addition …

[HTML][HTML] Machine learning within the Parkinson's progression markers initiative: Review of the current state of affairs

RT Gerraty, A Provost, L Li, E Wagner… - Frontiers in Aging …, 2023 - frontiersin.org
The Parkinson's Progression Markers Initiative (PPMI) has collected more than a decade's
worth of longitudinal and multi-modal data from patients, healthy controls, and at-risk …

Generalizable, reproducible, and neuroscientifically interpretable imaging biomarkers for Alzheimer's disease

D Jin, B Zhou, Y Han, J Ren, T Han, B Liu… - Advanced …, 2020 - Wiley Online Library
Precision medicine for Alzheimer's disease (AD) necessitates the development of
personalized, reproducible, and neuroscientifically interpretable biomarkers, yet despite …

[HTML][HTML] Transdiagnostic biomarkers of mental illness across the lifespan: a systematic review examining the genetic and neural correlates of latent transdiagnostic …

N Hoy, SJ Lynch, MA Waszczuk, S Reppermund… - Neuroscience & …, 2023 - Elsevier
This systematic review synthesizes evidence from research investigating the biological
correlates of latent transdiagnostic dimensions of psychopathology (eg, the p-factor …

Computational theory-driven studies of reinforcement learning and decision-making in addiction: What have we learned?

MCM Gueguen, EM Schweitzer, AB Konova - Current opinion in behavioral …, 2021 - Elsevier
Highlights•Computational psychiatry holds promise for mechanistic discovery in
addiction.•This approach captures latent factors driving behavioral differences from …

[HTML][HTML] Poor separation of clinical symptom profiles by DSM-5 disorder criteria

JJ Newson, V Pastukh, TC Thiagarajan - Frontiers in Psychiatry, 2021 - frontiersin.org
Assessment of mental illness typically relies on a disorder classification system that is
considered to be at odds with the vast disorder comorbidity and symptom heterogeneity that …

[HTML][HTML] Identification of clinical disease trajectories in neurodegenerative disorders with natural language processing

NJ Mekkes, M Groot, E Hoekstra, A de Boer… - Nature medicine, 2024 - nature.com
Neurodegenerative disorders exhibit considerable clinical heterogeneity and are frequently
misdiagnosed. This heterogeneity is often neglected and difficult to study. Therefore …

[HTML][HTML] Polyneuro risk scores capture widely distributed connectivity patterns of cognition

N Byington, G Grimsrud, MA Mooney… - Developmental …, 2023 - Elsevier
Resting-state functional connectivity (RSFC) is a powerful tool for characterizing brain
changes, but it has yet to reliably predict higher-order cognition. This may be attributed to …

Mapping the heterogeneous brain structural phenotype of autism spectrum disorder using the normative model

X Shan, LQ Uddin, J Xiao, C He, Z Ling, L Li… - Biological …, 2022 - Elsevier
Background Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder
characterized by substantial clinical and biological heterogeneity. Quantitative and …

Functional connectome–based predictive modeling in autism

C Horien, DL Floris, AS Greene, S Noble, M Rolison… - Biological …, 2022 - Elsevier
Autism is a heterogeneous neurodevelopmental condition, and functional magnetic
resonance imaging–based studies have helped advance our understanding of its effects on …