Recent research advances in young-onset dementia

SM Loi, Y Pijnenburg, D Velakoulis - Current opinion in psychiatry, 2023 - journals.lww.com
Recent research advances in young-onset dementia : Current Opinion in Psychiatry Recent
research advances in young-onset dementia : Current Opinion in Psychiatry Log in or …

Alzheimer's disease risk reduction in clinical practice: a priority in the emerging field of preventive neurology

K Niotis, C Saperia, N Saif, C Carlton… - Nature Mental …, 2024 - nature.com
Alzheimer's disease is increasing in prevalence disproportionately to longevity, placing
enormous burden on individuals, families, healthcare systems and the economy …

[HTML][HTML] Multiclass prediction of different dementia syndromes based on multi-centric volumetric MRI imaging

L Lampe, HJ Huppertz, S Anderl-Straub, F Albrecht… - NeuroImage: Clinical, 2023 - Elsevier
Introduction Dementia syndromes can be difficult to diagnose. We aimed at building a
classifier for multiple dementia syndromes using magnetic resonance imaging (MRI) …

Effects of substance use and antisocial personality on neuroimaging-based machine learning prediction of schizophrenia

M Taipale, J Tiihonen, J Korhonen… - Schizophrenia …, 2023 - academic.oup.com
Background and hypothesis Neuroimaging-based machine learning (ML) algorithms have
the potential to aid the clinical diagnosis of schizophrenia. However, literature on the effect …

Using brain structural neuroimaging measures to predict psychosis onset for individuals at clinical high-risk

Y Zhu, N Maikusa, J Radua, PG Sämann… - Molecular …, 2024 - nature.com
Abstract Machine learning approaches using structural magnetic resonance imaging (sMRI)
can be informative for disease classification, although their ability to predict psychosis is …

Shifting the trajectory of therapeutic development for neurological and psychiatric disorders

D Krainc, WJ Martin, B Casey, FE Jensen… - Science translational …, 2023 - science.org
Clinical trials for central nervous system disorders often enroll patients with unrecognized
heterogeneous diseases, leading to costly trials that have high failure rates. Here, we …

Distinguishing schizophrenia and bipolar disorder through a Multiclass classification model based on multimodal neuroimaging data

M Chen, X Xia, Z Kang, Z Li, J Dai, J Wu, C Chen… - Journal of Psychiatric …, 2024 - Elsevier
This study aimed to identify neural biomarkers for schizophrenia (SZ) and bipolar disorder
(BP) by analyzing multimodal neuroimaging. Utilizing data from structural magnetic …

Altered delay discounting in neurodegeneration: insight into the underlying mechanisms and perspectives for clinical applications

V Godefroy, I Sezer, A Bouzigues… - Neuroscience & …, 2023 - Elsevier
Steeper delay discounting (ie, the extent to which future rewards are perceived as less
valuable than immediate ones) has been proposed as a transdiagnostic process across …

Causal associations between common musculoskeletal disorders and dementia: a Mendelian randomization study

J Wang, M Yang, Y Tian, R Feng, K Xu… - Frontiers in Aging …, 2023 - frontiersin.org
Introduction Dementia and musculoskeletal disorders (MSDs) are major public health
problems. We aimed to investigate the genetic causality of common MSDs and dementia …

Precision psychiatry for suicide prevention.

M Manchia, P Paribello - European Neuropsychopharmacology, 2023 - psycnet.apa.org
Suicidal behavior is heterogenous in its clinical presentation, with uneven distribution of its
risk over a lifetime trajectory and/or illness course. Risk factors are multimodal (biological …