Background: The University of California San Diego Performance-based Skills Assessment (UPSA) has been validated as a functional measure in patients with major depressive disorder (MDD). The study herein aims to both replicate and extend the initial validation incorporating data sets from two additional studies.
Methods: NCT02279966 and NCT02272517 were multinational, double-blind, placebo-controlled studies in adult outpatients with moderate-to-severe MDD and a current major depressive episode of ≥3 months and less than 1 year, respectively. Subjects were randomized to vortioxetine (10 or 20 mg), placebo or active reference drug (paroxetine [20 mg], or escitalopram [10 or 20 mg]) for 8 weeks. Pearson correlation coefficients were estimated for baseline UPSA-Brief (UPSA-B), demographic/disease characteristics, Montgomery-Åsberg Depression Rating Scale (MADRS), Perceived Deficit Questionnaire-20 items (PDQ-20), and Digit Symbol Substitution Test (DSST), to examine construct validity. Distribution- and anchor-based methods examined clinically important difference (CID) threshold. A pooled analysis with data from NCT01564862 (initial validation study) was performed to increase the statistical power of the estimations.
Results: In pooled analysis of the two new studies, UPSA-B score correlated with the DSST (r = 0.32, P < 0.0001), but not the MADRS (r = -0.07, p = 0.302) or the PDQ-20 (r = -0.10, p = 0.109), replicating initial validation results. Estimated CID range was 7.1-11.2 and 5.5-6.1 points for anchor- and distribution-based methods, respectively. In pooled analyses of all three studies, the CID was 7.0 and 6.4 for anchor- and distribution-based methods, respectively.
Conclusions: These results confirm the construct validity of UPSA for assessing functional capacity in patients with MDD. Estimated CID using UPSA is approximately 6-7 points.
Trial Registration: ClinicalTrials.gov identifier: NCT01564862; NCT02272517; NCT02279966.
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http://dx.doi.org/10.1016/j.jad.2018.11.034 | DOI Listing |
Adv Sci (Weinh)
January 2025
Information Materials and Intelligent Sensing Laboratory of Anhui Province, Key Laboratory of Structure and Functional Regulation of Hybrid Materials of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, 111 Jiu Long Road, Hefei, 230601, China.
Unipolar barrier architecture is designed to enhance the photodetector's sensitivity by inducing highly asymmetrical barriers, a higher barrier for blocking majority carriers to depressing dark current, and a low minority carrier barrier without impeding the photocurrent flow through the channel. Depressed dark current without block photocurrent is highly desired for uncooled Long-wave infrared (LWIR) photodetection, which can enhance the sensitivity of the photodetector. Here, an excellent unipolar barrier photodetector based on multi-layer (ML) graphene (G) is developed, WSe, and PtSe (G-WSe-PtSe) van der Waals (vdW) heterostructure, in which extremely low dark current of 1.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Identifying cell types and brain regions critical for psychiatric disorders and brain traits is essential for targeted neurobiological research. By integrating genomic insights from genome-wide association studies with a comprehensive single-cell transcriptomic atlas of the adult human brain, we prioritized specific neuronal clusters significantly enriched for the SNP-heritabilities for schizophrenia, bipolar disorder, and major depressive disorder along with intelligence, education, and neuroticism. Extrapolation of cell-type results to brain regions reveals the whole-brain impact of schizophrenia genetic risk, with subregions in the hippocampus and amygdala exhibiting the most significant enrichment of SNP-heritability.
View Article and Find Full Text PDFNeurosci Biobehav Rev
January 2025
Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA; Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany. Electronic address:
Understanding how the brain distinguishes emotional from neutral scenes is crucial for advancing brain-computer interfaces, enabling real-time emotion detection for faster, more effective responses, and improving treatments for emotional disorders like depression and anxiety. However, inconsistent research findings have arisen from differences in study settings, such as variations in the time windows, brain regions, and emotion categories examined across studies. This review sought to compile the existing literature on the timing at which the adult brain differentiates basic affective from neutral scenes in less than one second, as previous studies have consistently shown that the brain can begin recognizing emotions within just a few milliseconds.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China; Shandong Provincial Key Medical and Health Laboratory of Intelligent Diagnosis and Treatment for Women's Diseases (Yantai Yuhuangding Hospital), Yantai, Shandong 264000, PR China; Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China. Electronic address:
Purpose: To elucidate the structural-functional connectivity (SC-FC) coupling in white matter (WM) tracts in patients with major depressive disorder (MDD).
Methods: A total of 178 individuals diagnosed with MDD and 173 healthy controls (HCs) were recruited for this study. The Euclidean distance was calculated to assess SC-FC coupling.
Psychiatry Res
December 2024
Department of Psychiatry, Faculty of Medicine, Medical University of Gdansk, Gdansk, Poland.
Selecting the optimal dose of psilocybin for treating Major Depressive Disorder (MDD) and Treatment-Resistant Depression (TRD) is crucial for clinical development and regulatory approval. This meta-analysis evaluates psilocybin's efficacy and safety in treating MDD to determine the optimal dose and timing for clinical trials. A systematic review and Dose-Response Network Meta-Analysis (NMA) of Randomized Placebo-Controlled Clinical Trials (RCTs) registered with PROSPERO was conducted.
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