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 …
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
Alzheimer's disease is increasing in prevalence disproportionately to longevity, placing
enormous burden on individuals, families, healthcare systems and the economy …
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) …
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 …
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 …
can be informative for disease classification, although their ability to predict psychosis is …
Shifting the trajectory of therapeutic development for neurological and psychiatric disorders
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 …
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 …
(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
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 …
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 …
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 …
risk over a lifetime trajectory and/or illness course. Risk factors are multimodal (biological …