Cushing syndrome (CS) is the classic condition of cortisol dysregulation, and cortisol dysregulation is the prototypic finding in Major Depressive Disorder (MDD). We hypothesized that subjects with active CS would show dysfunction in frontal and limbic structures relevant to affective networks, and also manifest poorer facial affect identification accuracy, a finding reported in MDD.Twenty-one patients with confirmed CS (20 ACTH-dependent and 1 ACTH-independent) were compared to 21 healthy controlsubjects. Identification of affective facial expressions (Facial Emotion Perception Test) was conducted in a 3 Tesla GE fMRI scanner using BOLD fMRI signal. The impact of disease (illness duration, current hormone elevation and degree of disruption of circadian rhythm), performance, and comorbid conditions secondary to hypercortisolemia were evaluated.CS patients made more errors in categorizing facial expressions and had less activation in left anterior superior temporal gyrus, a region important in emotion processing. CS patients showed higher activation in frontal, medial, and subcortical regions relative to controls. Two regions of elevated activation in CS, left middle frontal and lateral posterior/pulvinar areas, were positively correlated with accuracy in emotion identification in the CS group, reflecting compensatory recruitment. In addition, within the CSgroup, greater activation in left dorsal anterior cingulatewas related to greater severity of hormone dysregulation. In conclusion, cortisol dysregulation in CS patients is associated with problems in accuracy of affective discrimination and altered activation of brain structures relevant to emotion perception, processing and regulation, similar to the performance decrements and brain regions shown to be dysfunctional in MDD.
Previous studies suggest that task-activated fMRI can predict future cognitive decline among healthy older adults. The present fMRI study examined the relative sensitivity of semantic memory (SM) versus episodic memory (EM) activation tasks for predicting cognitive decline. Seventy-eight cognitively intact elders underwent neuropsychological testing at entry and after an 18-month interval, with participants classified as cognitively “Stable” or “Declining” based on ≥1.0 SD decline in performance. Baseline fMRI scanning involved SM (famous name discrimination) and EM (name recognition) tasks. SM and EM fMRI activation, along with APOE ε4 status, served as predictors of cognitive outcome using a logistic regression analysis. Twenty-seven (34.6%) participants were classified as Declining and 51 (65.4%) as Stable. APOE ε4 status alone significantly predicted cognitive decline (R2 = .106; C index = .642). Addition of SM activation significantly improved prediction accuracy (R2 = .285; C index = .787), whereas the addition of EM did not (R2 = .212; C index = .711). In combination with APOE status, SM task activation predicts future cognitive decline better than EM activation. These results have implications for use of fMRI in prevention clinical trials involving the identification of persons at-risk for age-associated memory loss and Alzheimer’s disease.
This paper explores the extent of the knowledge base pertaining to symptom validity tests (SVTs), including empirical research studies, meta-analyses, position papers, and a consensus conference statement. We investigate publication outlets for research on symptom validity testing that have been published and identify the discipline of the authors. It is evident that the field of clinical psychology, and specifically neuropsychology, has amassed a very extensive research literature that has established the utility of SVTs in identifying insufficient effort on cognitive tests, response bias on symptom reporting inventories, and can be used to support or rule out malingering of psychological and neuropsychological conditions. This is particularly important for assessments that occur in a forensic context, but can also be important in routine clinical contexts and in relation to psychopathology. With the exception of not having full-fledged practice guidelines exclusively regarding SVTs, neuropsychologists and psychologists have all the guidance needed at present to be knowledgeable on the effective use and interpretation of SVTs.
Objective: To conduct an online survey in order to understand neuropsychology trainees' perspectives during the COVID-19 pandemic and identify pertinent concerns, training gaps, and recommendations. Method: A total of 874 neuropsychology trainees (81% female) completed the 69-item survey. Of the included trainees, 48% were doctoral students, 17% were interns, and 35% were postdoctoral residents (50% of resident respondents were in their first year). Results: The majority of neuropsychology trainees reported some impact of the pandemic on their professional and/or personal life. Overall, the impact did not differ by training level, geographic location, or demographic factors. Trainees' primary professional concerns included uncertainty about the impact of the pandemic on their professional future, loss of clinical hours, and desire for increased and ongoing communication from their leadership. A notable percentage of trainees reported increased personal mental health symptoms (i.e. anxiety/depression; 74%/54%), as well as a number of other personal stressors. Despite the transition to telehealth (mostly interviews/feedback sessions), few trainees have prior training or experience in providing neuropsychological services via phone or video platform. A limited proportion of trainees (approximately 10%) were still seeing patients face-to-face for neuropsychological evaluations during the COVID-19 pandemic as of 14 April 2020. Conclusions: The COVID-19 pandemic is impacting neuropsychological training and the well-being of trainees. This survey highlights the importance of communication with trainees during uncertain times. Based on the survey results, recommendations were developed to assist neuropsychology organizations in developing initiatives to support trainees during the current pandemic and in the future.
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