Women are twice as likely as men to suffer from trauma- and stressor-related disorders. The development of improved therapeutic interventions is contingent upon a more complete grasp of both the neural and behavioral dynamics of the stress response in females. The rodent forced swim test (FST) is a valuable animal model for exploring the neurobiological mechanisms responsible for selection of active and passive responses to inescapable stressors, but it is often neglected in 2-day FST studies is the dissociation of innate (Day 1) versus learned (Day 2) coping responses. Here, we used a modified, long-term (4-week) FST paradigm and immunohistological analysis to study the interactions of sex, strain, and housing arrangement on selection of active and passive coping strategies in Sprague Dawley (SD) and Long Evans (LE) rats. We observed significant strain × sex interactions in both forced swim sessions with respect to both passive (immobility) and active (climbing and headshakes) responses. In immobility measures, we observed stable sex differences in SD rats and a stable lack of sex differences in LE rats across tests. In addition, both SD and LE females displayed significantly more headshakes than males during Test 1 and more climbing in Test 2. Most notably, males, but not females, exhibited a cross-test increase in immobility, suggesting that males and females may engage different learning processes in a 2-day FST. These sex differences corresponded to c-fos expression in the medial prefrontal cortex (mPFC), indicating that the mPFC may contribute to sexually dimorphic behavior in the FST. (PsycINFO Database Record
BACKGROUND AND OBJECTIVES: ChatGPT is a novel natural language processing artificial intelligence (AI) module where users enter any question or command and receive a single text response within seconds. As AI becomes more accessible, patients may begin to use it as a resource for medical information and advice. This is the first study to assess the neurosurgical information that is provided by ChatGPT. METHODS: ChatGPT was accessed in January 2023, and prompts were created requesting treatment information for 40 common neurosurgical conditions. Quantitative characteristics were collected, and four independent reviewers evaluated the responses using the DISCERN tool. Prompts were compared against the American Association of Neurological Surgeons (AANS) “For Patients” webpages. RESULTS: ChatGPT returned text organized in paragraph and bullet-point lists. ChatGPT responses were shorter (mean 270.1 ± 41.9 words; AANS webpage 1634.5 ± 891.3 words) but more difficult to read (mean Flesch-Kincaid score 32.4 ± 6.7; AANS webpage 37.1 ± 7.0). ChatGPT output was found to be of “fair” quality (mean DISCERN score 44.2 ± 4.1) and significantly inferior to the “good” overall quality of the AANS patient website (57.7 ± 4.4). ChatGPT was poor in providing references/resources and describing treatment risks. ChatGPT provided 177 references, of which 68.9% were inaccurate and 33.9% were completely falsified. CONCLUSION: ChatGPT is an adaptive resource for neurosurgical information but has shortcomings that limit the quality of its responses, including poor readability, lack of references, and failure to fully describe treatment options. Hence, patients and providers should remain wary of the provided content. As ChatGPT or other AI search algorithms continue to improve, they may become a reliable alternative for medical information.
Background: Continuous electroencephalograms (cEEGs) are often used in the neurosurgical intensive care unit (NSICU) to detect subclinical seizures (SCSs) in patients with altered mental status (AMS). This retrospective study evaluated the efficacy of this approach for improving patient outcomes. Methods: We reviewed the records of 100 patients admitted to the NSICU between 2015 and 2020 who underwent continous electroencephalograms (cEEG) during workup of unexplained AMS. Patient outcomes were classified as positive (discharged), neutral (transfer of care), or negative (dead). Incidence of SCSs on cEEG and association with patient outcomes was analyzed with Chi-square analysis and relative risk (RR). Results: For the 99 included patients, median age was 62 years and 43% were female. About 15.2% had a known or newly diagnosed brain tumor. Outcomes were positive in 22 patients, neutral in four, and negative in 73. SCSs were detected in 15 patients, of whom 12 died, two were discharged, and one whose care was transferred. Chi-square association between SCS and outcome (P = 0.59) and RR of death associated with SCS diagnosis (1.1) was not significant. Conclusion: We found a lower incidence of SCSs (15.2%) than reported in the literature. In the absence of clinically evident seizures, continous cEEGs performed in the NSICU to determine the etiology of AMS did not yield an improvement in patient outcomes, and patients diagnosed and treated for SCS did not have statistically decreased risk of death. In summary, electroencephalogram monitoring for SCS is important but should not delay diagnosis and treatment of other, potentially life-threating etiologies of AMS.
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