Valid screening devices are critical for an early diagnosis of dementia. The DemTect is such an internationally accepted tool. We aimed to characterize the neural networks associated with performance on the DemTect's subtests in two frequent dementia syndromes: early Alzheimer's disease (AD) and frontotemporal lobar degeneration (FTLD). Voxel-based group comparisons of cerebral glucose utilization (as measured by F-18-fluorodeoxyglucose positron emission tomography) and gray matter atrophy (as measured by structural magnetic resonance imaging) were performed on data from 48 subjects with AD (n = 21), FTLD (n = 14) or subjective cognitive impairment (n = 13) as a control group. We performed group comparisons and correlation analyses between multimodal imaging data and performance on the DemTect's subtests. Group comparisons showed regional patterns consistent with previous findings for AD and FTLD. Interestingly, atrophy dominated in FTLD, whereas hypometabolism in AD. Across diagnostic groups performance on the “wordlist” subtest was positively correlated with glucose metabolism in the left temporal lobe. The “number transcoding” subtest was significantly associated with glucose metabolism in both a predominantly left lateralized frontotemporal network and a parietooccipital network including parts of the basal ganglia. Moreover, this subtest was associated with gray matter density in an extensive network including frontal, temporal, parietal and occipital areas. No significant correlates were observed for the “supermarket task” subtest. Scores on the “digit span reverse” subtest correlated with glucose metabolism in the left frontal cortex, the bilateral putamen, the head of caudate nucleus and the anterior insula. Disease-specific correlation analyses could partly verify or extend the correlates shown in the analyses across diagnostic groups. Correlates of gray matter density were found in FTLD for the “number transcoding” subtest and the “digit span reverse” subtest. Correlates of glucose metabolism were found in AD for the “wordlist” subtest and in FTLD for the “digit span reverse” subtest. Our study contributes to the understanding of the neural correlates of cognitive deficits in AD and FTLD and supports an external validation of the DemTect providing preliminary conclusions about disease-specific correlates.
Background and purpose Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder with predominant progressive degeneration of motor neurons and motor deficits, but non‐motor symptoms (NMS) such as cognitive and behavioural deficits are frequent and underestimated in current diagnostic pathways. Autonomic dysfunction has occasionally been described, although its frequency and relevance are unclear. The aim of this study was to investigate the role of the autonomic nervous system in ALS using a multimodal approach. Methods Thirty‐seven ALS patients and 40 healthy sex‐ and age‐matched controls were included. NMS were studied with the NMS assessment scale for Parkinson's disease and an autonomic subscale was calculated. Cardioautonomic innervation at rest and whilst standing was assessed by different parameters of heart rate variability. Morphological changes (cross‐sectional area) of the vagus and median nerves for control were measured with high‐resolution ultrasound. Results Non‐motor symptoms in general were more frequent in ALS patients and correlated inversely with the ALS Functional Rating Scale whereas the autonomic subscore of the NMS assessment scale for Parkinson's disease did not differ between the two groups and was not related to functional impairment. Cardioautonomic assessment solely revealed an increased heart rate at rest in ALS patients, whereas the other heart rate variability parameters did not differ from controls. Structural sonographic investigation of the vagus and median nerves was similar in both groups. Conclusions Using a multimodal approach evidence was found for a rather mild cardio‐sympathetic overactivity in ALS patients. Overall, autonomic dysfunction seems to be subtle and is not related to the functional state of ALS patients.
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