Functional magnetic resonance imaging (fMRI) is increasingly used to non-invasively study the acute impact of psychedelics on the human brain. While fMRI is a promising tool for measuring brain function in response to psychedelics, it also has known methodological challenges. We conducted a systematic review of fMRI studies examining acute responses to experimentally administered psychedelics in order to identify convergent findings and characterize heterogeneity in the literature. We reviewed 91 full-text papers; these studies were notable for substantial heterogeneity in design, task, dosage, drug timing, and statistical approach. Data recycling was common, with 51 unique samples across 91 studies. Fifty-seven studies (54%) did not meet contemporary standards for Type I error correction or control of motion artifact. Psilocybin and LSD were consistently reported to moderate the connectivity architecture of the sensorimotor-association cortical axis. Studies also consistently reported that ketamine administration increased activation in the dorsomedial prefrontal cortex. Moving forward, use of best practices such as pre-registration, standardized image processing and statistical testing, and data sharing will be important in this rapidly developing field.
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http://dx.doi.org/10.1016/j.neubiorev.2023.105421 | DOI Listing |
Res Nurs Health
January 2025
College of Nursing, The University of Tennessee, Knoxville, Tennessee, USA.
The social determinants of health (SDOH) have been recognized as an important contributor to an individual's health status. A valid and reliable instrument is needed for researchers and clinicians to measure SDOH. However, there is considerable variability in the screening methodologies, as well as a lack of standardization in definitions and methods for capturing and reporting SDOH data for both electronic health record software vendors and national experts on SDOH.
View Article and Find Full Text PDFFolia Morphol (Warsz)
January 2025
Department of Orthopedics and Traumatology, University Hospital Queen Giovanna-ISUL, Medical University of Sofia, Sofia, Bulgaria.
Variations in the development of carpal bones are uncommon, with the scaphoid bone typically forming from the fusion of the os centrale carpi and the radial chondrification center during embryogenesis. A bipartite scaphoid is a rare congenital disorder that occurs when these ossification centers fail to fuse, with a prevalence ranging from 0.1% to 0.
View Article and Find Full Text PDFLangmuir
January 2025
Department of Environmental Chemistry and Chemical Engineering, School of Advanced Engineering, Kogakuin University, 2665-1 Nakano, Tokyo, Hachioji 192-0015, Japan.
The two-dimensional interlayer space of layered materials has been highlighted due to their adsorption property, whose nanostructure in the water-immersed state is scarcely understood by experiment. Recent developments in molecular simulation have enabled researchers to investigate the interlayer structure, but water content is necessary for accurate modeling. In the present study, we proposed a theoretical method to estimate the saturated water content and adsorption selectivity of trichlorophenol and phenol in montmorillonite modified with hexadecyltrimethylammonium ions.
View Article and Find Full Text PDFAm J Physiol Cell Physiol
January 2025
Department of Physiology (Cellular Physiology Research Group),Institute of Molecular Pathology Biomarkers (IMPB), University of Extremadura, 10003-Caceres, Spain.
Filamin A (FLNA) is an actin-binding protein that has been reported to interact with STIM1 modulating the activation of Orai1 channels. Cleaving of FLNA by calpain leads to a C-terminal fragment that is involved in a variety of functional and pathological events, including pro-oncogenic activity in different types of cancer. Here we show that full-length FLNA is downregulated in samples from colon cancer patients as well as in the adenocarcinoma cell line HT-29.
View Article and Find Full Text PDFHum Reprod Open
November 2024
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?
Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.
What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.
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