Objectively assessed sleep and physical activity in depression subtypes and its mediating role in their association with cardiovascular risk factors

J Glaus, SJ Kang, W Guo, F Lamers… - Journal of psychiatric …, 2023 - Elsevier
The aims of this study were to investigate the associations of major depressive disorder
(MDD) and its subtypes (atypical, melancholic, combined, unspecified) with actigraphy …

The unique neural signature of your trip: Functional connectome fingerprints of subjective psilocybin experience

HM Tolle, JC Farah, P Mallaroni, NL Mason… - Network …, 2024 - direct.mit.edu
The emerging neuroscientific frontier of brain fingerprinting has recently established that
human functional connectomes (FCs) exhibit fingerprint-like idiosyncratic features, which …

Abnormal stability of spontaneous neuronal activity as a predictor of diagnosis conversion from major depressive disorder to bipolar disorder

H Sun, R Yan, L Hua, Y Xia, Z Chen, Y Huang… - Journal of Psychiatric …, 2024 - Elsevier
Objective Bipolar disorder (BD) is often misdiagnosed as major depressive disorder (MDD)
in the early stage, which may lead to inappropriate treatment. This study aimed to …

P2X7 receptor-related genetic mouse models–tools for translational research in Psychiatry

L Urbina-Treviño, IA von Mücke-Heim… - Frontiers in Neural …, 2022 - frontiersin.org
Depression is a common psychiatric disorder and the leading cause of disability worldwide.
Although treatments are available, only about 60% of treated patients experience a …

Associating broad and clinically defined polygenic scores for depression with depression-related phenotypes

JE McGeary, CE Benca-Bachman, VA Risner… - Scientific Reports, 2023 - nature.com
Abstract Twin studies indicate that 30–40% of the disease liability for depression can be
attributed to genetic differences. Here, we assess the explanatory ability of polygenic scores …

Digital tools for the assessment of pharmacological treatment for depressive disorder: state of the art

E Van Assche, JA Ramos-Quiroga, CM Pariante… - European …, 2022 - Elsevier
Depression is an invalidating disorder, marked by phenotypic heterogeneity. Clinical
assessments for treatment adjustments and data-collection for pharmacological research …

[HTML][HTML] Depression: an insight into heterocyclic and cyclic hydrocarbon compounds inspired from natural sources

AJ Shah, RH Mir, FH Pottoo, MH Masoodi… - Current …, 2021 - ncbi.nlm.nih.gov
Depression, a well-known mental disorder, has global prevalence, affecting nearly 17% of
the population. Due to various limitations of the currently available drugs, people have been …

Subtyping brain diseases from imaging data

J Wen, E Varol, Z Yang, G Hwang, D Dwyer… - Machine Learning for …, 2023 - Springer
The imaging community has increasingly adopted machine learning (ML) methods to
provide individualized imaging signatures related to disease diagnosis, prognosis, and …

Adaptive multimodal neuroimage integration for major depression disorder detection

Q Wang, L Li, L Qiao, M Liu - Frontiers in Neuroinformatics, 2022 - frontiersin.org
Major depressive disorder (MDD) is one of the most common mental health disorders that
can affect sleep, mood, appetite, and behavior of people. Multimodal neuroimaging data …

Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment

AC Bryan, MV Heinz, AJ Salzhauer, GD Price… - Biomedical Materials & …, 2024 - Springer
Mental health disorders—including depression, anxiety, trauma-related, and psychotic
conditions—are pervasive and impairing, representing considerable challenges for both …