A goal in addiction research is to distinguish forms of neuroplasticity that are involved in the transition to addiction from those involved in mere drug taking. Animal models of drug self-administration are essential in this context. Here, we compared in male rats two cocaine self-administration procedures that differ in the extent to which they evoke addiction-like behaviours. We measured both incentive motivation for cocaine using progressive ratio procedures, and cocaine-induced c-fos mRNA expression, a marker of neuronal activity. Rats self-administered intravenous cocaine (0.25 mg/kg/infusion) for seven daily 6-hour sessions. One group had intermittent access (IntA; 6 minutes ON, 26 min OFF × 12) to rapid infusions (delivered over 5 s). This models the temporal kinetics of human cocaine use and produces robust addiction-like behaviour. The other group had Long access (LgA) to slower infusions (90 s). This produces high levels of intake without promoting robust addiction-like behaviour. LgA-90 s rats took twice as much cocaine as IntA-5 s rats did, but IntA-5 s rats showed greater incentive motivation for the drug. Following a final self-administration session, we quantified c-fos mRNA expression in corticostriatal regions. Compared to LgA-90 s rats, IntA-5 s rats had more cocaine-induced c-fos mRNA in the orbitofrontal and prelimbic cortices and the caudate-putamen. Thus, a cocaine self-administration procedure (intermittent intake of rapid infusions) that promotes increased incentive motivation for the drug also enhances cocaine-induced gene regulation in corticostriatal regions. This suggests that increased drug-induced recruitment of these regions could contribute to the neural and behavioural plasticity underlying the transition to addiction.
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http://dx.doi.org/10.1016/j.neuroscience.2020.05.058 | DOI Listing |
Sci Rep
January 2025
Department of Psychology, Faculty of Behavioural and Social Sciences, University of Groningen, Grote Kruisstraat 2/1, 9712TS, Groningen, The Netherlands.
Recruits are exposed to high levels of psychological and physical stress during the special forces selection period, resulting in dropout rates of up to 80%. To identify who likely drops out, we assessed a group of 249 recruits, every week of the selection program, on their self-efficacy, motivation, experienced psychological and physical stress, and recovery. Using linear regression as well as state-of-the-art machine learning techniques, we aimed to build a model that could meaningfully predict dropout while remaining interpretable.
View Article and Find Full Text PDFBrain Res
January 2025
Department of Computing Science, University of Alberta Edmonton Alberta Canada; Alberta Machine Intelligence Institute Edmonton Alberta Canada; Canada Institute for Advanced Research (CIFAR) AI Chair, Canada.
Humans are excellent at modifying our behaviour depending on context. For example, humans will change how they explore when losses are possible compared to when they are not possible. However, it remains unclear what specific cognitive and neural processes are modulated when exploring in different contexts.
View Article and Find Full Text PDFComplement Ther Clin Pract
January 2025
School of Psychology, Deakin University, Australia. Electronic address:
Purpose: This pilot study was the first of its kind to examine the experiences of people with persistent pain engaging in a six-week iRest for Pain group program as part of multidisciplinary pain care.
Method: The present study used a qualitative, phenomenological design and reflexive thematic analysis to gain an understanding of the firsthand experience of patients who participated in the iRest for Pain group program. This program was offered in a specialist outpatient pain management service within a regional public hospital in Victoria, Australia.
Nurse Educ Today
January 2025
School of Nursing and Midwifery, Deakin University, Burwood, Victoria 3125, Australia; Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Victoria, Australia.
Objective: To identify and synthesise existing literature about the use of mobile educational applications (apps) designed to enhance the learning experience of nurses and midwives.
Design: A narrative review using a systematic, structured and comprehensive search of the literature.
Data Sources: Medline Complete (EBSCO), CINAHL (EBSCO), ERIC (EBSCO) and Embase (OVID) electronic databases.
Br J Nurs
January 2025
Professor, Department of Nursing, Beaver College of Health Sciences, Appalachian State University, Boone, North Carolina, USA.
Background/aim: Addressing the critical global shortage of nurses requires an understanding of how a global pandemic reshaped nurses' motivations and intentions toward education. This study aimed to describe COVID-19's impact on nurses' intent to pursue additional education.
Method: This descriptive study, based in North Carolina in the USA, used content analysis with an inductive approach to examine the responses of nurses to one open-ended question in a large quantitative workforce survey: how has COVID-19 influenced your plans for future education? Responses were coded with counts and organised into themes and subthemes.
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