Striatal metabolism and psychomotor speed as predictors of motor onset in Huntington's disease.

The clinical diagnosis of Huntington's disease (HD) is based on the motor symptoms, although these can be preceded by cognitive and behavioral changes. Biomarker studies have shown that structural imaging modalities are useful biomarkers of HD onset, while functional imaging measures have been studied less often for this purpose. Our aim was to investigate the combined value of 18-fluorodesoxyglucose (FDG)-PET and cognitive measures as biomarkers of HD onset. Twenty-two premanifest mutation carriers of HD (PMCs) and 11 healthy controls were assessed twice with FDG-PET scan, neurological and neuropsychological assessments over a 2-year interval. Seventeen PMCs had an additional third neurological evaluation, 10 years after baseline. Disease load was defined as the probability of motor onset within 5 years. Metabolism in putamen, caudate and pallidum of PMCs was significantly lower than that of controls, at both assessments. Almost half of the PMCs had converted to manifest HD 10 years later and all converters had low average or abnormal putaminal metabolism at 2 year follow-up. In contrast, all PMCs with normal putaminal metabolism at 2 year follow-up remained premanifest during the following 8 years. Furthermore, glucose metabolism of putamen explained a substantial part of the variance in disease load. A composite score of psychomotor tests contributed significantly to the prediction model as well, while cognitive performance was comparable for PMCs and controls. We conclude that in future clinical trials a combination of psychomotor tests and putaminal glucose metabolism may be used to identify PMCs close to motor onset of HD.

Deficits in facial emotion recognition indicate behavioral changes and impaired self-awareness after moderate to severe traumatic brain injury.

Traumatic brain injury (TBI) is a leading cause of disability, specifically among younger adults. Behavioral changes are common after moderate to severe TBI and have adverse consequences for social and vocational functioning. It is hypothesized that deficits in social cognition, including facial affect recognition, might underlie these behavioral changes. Measurement of behavioral deficits is complicated, because the rating scales used rely on subjective judgement, often lack specificity and many patients provide unrealistically positive reports of their functioning due to impaired self-awareness. Accordingly, it is important to find performance based tests that allow objective and early identification of these problems. In the present study 51 moderate to severe TBI patients in the sub-acute and chronic stage were assessed with a test for emotion recognition (FEEST) and a questionnaire for behavioral problems (DEX) with a self and proxy rated version. Patients performed worse on the total score and on the negative emotion subscores of the FEEST than a matched group of 31 healthy controls. Patients also exhibited significantly more behavioral problems on both the DEX self and proxy rated version, but proxy ratings revealed more severe problems. No significant correlation was found between FEEST scores and DEX self ratings. However, impaired emotion recognition in the patients, and in particular of Sadness and Anger, was significantly correlated with behavioral problems as rated by proxies and with impaired self-awareness. This is the first study to find these associations, strengthening the proposed recognition of social signals as a condition for adequate social functioning. Hence, deficits in emotion recognition can be conceived as markers for behavioral problems and lack of insight in TBI patients. This finding is also of clinical importance since, unlike behavioral problems, emotion recognition can be objectively measured early after injury, allowing for early detection and treatment of these problems.