98%
921
2 minutes
20
In this study, the Search Your Mind (S.Y.M., ) project aimed to collect prospective digital phenotypic data centered on mood and anxiety symptoms across psychiatric disorders through a smartphone application (app) platform while using both centralized and decentralized research designs: the centralized research design is a hybrid of a general prospective observational study and a digital platform-based study, and it includes face-to-face research such as informed written consent, clinical evaluation, and blood sampling. It also includes digital phenotypic assessment through an application-based platform using wearable devices. Meanwhile, the decentralized research design is a non-face-to-face study in which anonymous participants agree to electronic informed consent forms on the app. It also exclusively uses an application-based platform to acquire individualized digital phenotypic data. We expect to collect clinical, biological, and digital phenotypic data centered on mood and anxiety symptoms, and we propose a possible model of centralized and decentralized research design.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334802 | PMC |
http://dx.doi.org/10.30773/pi.2022.0102 | DOI Listing |
Neuropsychiatr Dis Treat
September 2025
Department of Radiology, No. 926 Hospital, Joint Logistics Support Force of PLA, Kaiyuan, Yunnan, 661699, People's Republic of China.
Parkinson's disease (PD) represents a progressive neurodegenerative disorder with escalating global burden, with mechanistic studies revealing α-synuclein propagation through gut-brain axis, mitochondrial defects, and neuroinflammatory cascades driven by genetic-environmental interplay. Recent advancements in diagnostic paradigms have successfully combined α-synuclein seed amplification assays with multimodal neuroimaging techniques, achieving an impressive diagnostic accuracy of 92% during the prodromal stages of disease. Phase II trials highlight disease-modifying potential of α-synuclein-targeting immunotherapies (40% reduction in motor decline) and LRRK2 kinase inhibitors showing blood-brain barrier penetration.
View Article and Find Full Text PDFInt Psychogeriatr
September 2025
Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States. Electronic address:
Background: As demand for mental healthcare access grows among older adult populations, digital mental health tools have emerged as promising tools. However, bridging the digital divide among older technology users remains critical. This post-hoc analysis evaluated potential factors influencing the adoption of a digital mental health tool in older adults.
View Article and Find Full Text PDFDiabetologia
September 2025
Centre Universitaire de Diabétologie et de ses Complications, AP-HP, Hôpital Lariboisière, Paris, France.
Aims/hypothesis: Severe hypoglycaemia events (SHE) remain frequent in people with type 1 diabetes despite advanced diabetes technologies. We examined whether time below range (TBR) 3.9 mmol/l (70 mg/dl; TBR70) or 3.
View Article and Find Full Text PDFTheor Appl Genet
September 2025
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
The German Federal Ex Situ Genebank for Agricultural and Horticultural Crops (IPK) harbours over 3000 pea plant genetic resources (PGRs), backed up by corresponding information across 16 key agronomic and economical traits. The unbalanced structure and inconsistent format of this historical data has precluded effective leverage of genebank accessions, despite the opportunities contained in its genetic diversity. Therefore, a three-step statistical approach founded in linear mixed models was implemented to enable a rigorous and targeted data curation.
View Article and Find Full Text PDFAlzheimers Dement
September 2025
Boston University Alzheimer's Disease Research Center and BU CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
We describe the rationale, methodology, and design of the Boston University Alzheimer's Disease Research Center (BU ADRC) Clinical Core (CC). The CC characterizes a longitudinal cohort of participants with/without brain trauma to characterize the clinical presentation, biomarker profiles, and risk factors of post-traumatic Alzheimer's disease (AD) and AD-related dementias (ADRD), including chronic traumatic encephalopathy (CTE). Participants complete assessments of traumatic brain injury (TBI) and repetitive head impacts (RHIs); annual Uniform Data Set (UDS) and supplementary evaluations; digital phenotyping; annual blood draw; magnetic resonance imaging (MRI) and lumbar puncture every 3 years; electroencephalogram (EEG); and amyloid and/or tau positron emission tomography (PET) on a subset.
View Article and Find Full Text PDF