Uncertainty has been demonstrated to influence the perception of noxious stimuli, but little is known about the effects of prolonged uncertain contexts on the perception of painful and non-painful stimuli. To address this knowledge gap, the present study utilized a cue-based NPU-threat task, where uncertain and certain trials were separated into distinct blocks. The objective was to investigate the impact of uncertain contexts on the temporal dynamics of electroencephalogram (EEG) activity during the processing of painful and non-painful stimuli. The results revealed that the influence of uncertain contexts on neural responses extends beyond painful trials and is also evident in non-painful trials. In uncertain contexts, it has been observed that painful stimuli elicit larger P2 amplitudes and late beta band (13-30 Hz) event-related desynchronization (ERD) around 500-700 ms. However, in certain contexts, painful stimuli evoke stronger late gamma band (50-70 Hz) event-related synchronization (ERS) around 600-700 ms. For non-painful trials, in uncertain contexts, significantly higher amplitudes of the late positive potential (LPP) component and delta-theta band (2-7 Hz) ERS were observed compared to certain non-painful stimuli. These findings demonstrate that uncertain contexts exert a significant impact on the processing of both painful and non-painful stimuli, and this influence is mediated by distinct neural mechanisms.
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http://dx.doi.org/10.1016/j.biopsycho.2023.108729 | DOI Listing |
Psychiatr Psychol Law
January 2024
Thomas More Law School, Australian Catholic University, Fitzroy, VIC, Australia.
Often, when an offender is sentenced their family and friends find themselves in a state of uncertainty. At this point, family and friends of prisoners need support and often find themselves alone to navigate and learn the correctional system to gain visitation approval. It is unknown how people new to visitation learns the rules and processes of prison visits to gain visitation access.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Integrated Traditional Chinese Medicine (TCM) and Western Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Introduction: Recurrent spontaneous abortion (RSA) represents a significant clinical challenge, with its underlying mechanisms yet to be fully elucidated. Despite advances in understanding, the precise pathophysiology driving RSA remains unclear. Angelica sinensis, a traditional herbal remedy, is frequently used as an adjunctive treatment for miscarriage.
View Article and Find Full Text PDFIntegr Environ Assess Manag
January 2025
ToxStrategies LLC, Asheville, NC, United States.
Prompted by a series of executive orders, the U.S. Environmental Protection Agency (USEPA) is promoting cumulative impact assessment (CIA) to integrate numerous factors that have the potential to impact community health, which include nonchemical stressors such as socioeconomic conditions, pre-existing health conditions, and many others that historically have not been addressed by USEPA's chemical risk assessment paradigm.
View Article and Find Full Text PDFSoc Work Public Health
January 2025
Department of International Health, Faculty of Health, Medicine and Life Sciences, University of Maastricht, Maastricht, Netherlands.
The COVID-19 pandemic, and particularly the associated conditions of isolation, has detrimental effects on the mental health of the population that are not yet fully understood. Variables such as individual stress, anxiety, and tolerance to uncertainty may play a role in the ability of individuals to adapt to the isolation situation. In this context, it is necessary to pay attention to population groups that present difficulties in adapting to this situation of uncertainty, such as people with autism.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
January 2025
Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Utah Health, 30 N. Mario Capecchi Dr., Level 5 South, Salt Lake City, UT, 84132, USA.
Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.
Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.
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