Dataset Information

Social cognition in cervical dystonia: A case-control study.

ABSTRACT:

Background

Although considered a motor disorder, adult onset isolated focal dystonia has many non-motor symptoms. There is a paucity of neuropsychological research on cognitive processing in adult onset focal dystonia.

Methods

We employed a battery of clinical and cognitive assessments, including basic and complex social cognition, and assessed 46 patients with adult-onset cervical dystonia, compared to 46 age-, sex-, education-, and premorbid IQ-matched healthy controls.

Results

Significant between-group differences were observed in relation to measures of memory encoding, recall and recognition, as well as multimodal measures of basic Social Cognition (emotion recognition: face and prosody), but not complex Social Cognition (mentalising). There were no deficits observed in multimodal measures of executive function. Controlling for mood did not affect performance.

Conclusion

In this multi-dimensional assessment of cognition in cervical dystonia, we report deficits in memory encoding, and in social cognition. Further investigation of social cognitive processes, memory, and sustained attention are required. Longitudinal studies are also needed to further delineate the role of psychological distress on cognitive outcomes and document the cognitive profile over time.

SUBMITTER: Burke T

PROVIDER: S-EPMC8298799 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectiveFunctional dystonia (FD) is a disabling and diagnostically challenging functional movement disorder (FMD). We sought to identify historical predictors of FD vs. other primary dystonias (ODs) and develop a practical prediction algorithm to guide neurologists.Methods1475 consecutive new patient medical records were reviewed at an adult/pediatric tertiary-referral dystonia clinic from 2005 to 2017. Ninety-nine met criteria for clinically established FD (85 adults and 14 pediatric), paired with 99 age/dystonia distribution-matched OD. Univariate and multivariate regression analyses were performed to identify predictors of FD and disability. We formed a prediction algorithm, assessed using the area under the receiver operating curve (AUC).ResultsMultivariate logistic regression analysis investigating independent predictors of FD (P < 0.001) followed by development of a prediction algorithm showed that the most robust predictors included abrupt onset, spontaneous resolution/recurrence, pain, cognitive complaints, being on or pursuing disability, lifetime mood/anxiety disorder, comorbid functional somatic disorders, and having ≥3 medication allergies. The prediction algorithm had utility for both adult and pediatric FD, with excellent sensitivity/specificity (89%/92%) and an area under the curve (AUC) 0.95 (0.92-0.98). Greater disability (modified Rankin Scale) independently correlated with a number of functional examination features, unemployment/not attending school, number of medication allergies, and younger age of presentation. FD patients were high health-care utilizers and were more frequently prescribed opiates/opioids and benzodiazepines (P < 0.003).InterpretationThis case-control study provides an algorithm to guide clinicians in gauging their index of suspicion for a FD, with diagnostic confirmation subsequently informed by neurological examination. While this algorithm requires prospective validation, health-care utilization data underscore the importance and need for more research in FD.