Elisa Di Coscio

Sleep in frontotemporal dementia is equally or possibly more disrupted, and at an earlier stage, when compared to sleep in Alzheimer's disease.

BACKGROUND Conversely to other neurodegenerative diseases (i.e., Alzheimers disease, AD), sleep in frontotemporal dementia (FTD) has not been studied adequately. Although some evidence exists that sleep-wake disturbances occur in FTD, very little is known regarding sleep macrostructure and/or primary sleep disorders. OBJECTIVE To investigate these issues in this population and compare them to similar issues in AD and in healthy elderly (HE). METHODS Twelve drug-naïve behavioral-variant FTD (bvFTD) patients (7 men/5 women) of mean age 62.5 ± 8.6 years were compared to seventeen drug-naïve AD patients (8 men/9 women) of mean age 69.0 ± 9.9 years and twenty drug-naïve HE (12 men/8 women) of mean age 70.2 ± 12.5 years. All participants were fully assessed clinically, through a sleep questionnaire, an interview, and video-polysomnography recordings. RESULTS The two patient groups were comparably cognitively impaired. However, compared to FTD patients, the AD patients had a statistically significant longer disease duration. Overall, the sleep profile was better preserved in HE. Sleep complaints did not differ considerably between the two patient groups. Sleep parameters and sleep macrostructure were better preserved in AD compared to FTD patients, regardless of primary sleep disorders, which occurred equally in the two groups. CONCLUSIONS With respect to AD, FTD patients had several sleep parameters similarly or even more affected by neurodegeneration, but in a much shorter time span. The findings probably indicate a centrally originating sleep deregulation. Since in FTD patients sleep disturbances may be obvious from an early stage of their disease, and possibly earlier than in AD patients, physicians and caregivers should be alert for the early detection and treatment of these symptoms.

Non-rapid eye movement sleep instability in mild cognitive impairment: a pilot study

OBJECTIVE Polysomnographic (PSG) studies in mild cognitive impairment (MCI) are not conclusive and are limited only to conventional sleep parameters. The aim of our study was to evaluate sleep architecture and cyclic alternating pattern (CAP) parameters in subjects with MCI, and to assess their eventual correlation with cognition. METHODS Eleven subjects with MCI (mean age 68.5 ± 7.0 years), 11 patients with mild probable Alzheimers disease (AD; mean age 72.7 ± 5.9 years), referred to the Outpatient Cognitive Disorders Clinic, and 11 cognitively intact healthy elderly individuals (mean age 69.2 ± 12.6 years) underwent ambulatory PSG for the evaluation of nocturnal sleep architecture and CAP parameters. RESULTS Rapid eye movement sleep, CAP rate, and CAP slow components (A1 index) were decreased in MCI subjects and to a greater extent in AD patients, compared to cognitively intact controls. AD showed also decreased slow wave sleep (SWS) relative to healthy elderly individuals. MCI nappers showed decreased nocturnal SWS and A1 subtypes compared to non-nappers. Several correlations between sleep variables and neuropsychological tests were found. CONCLUSIONS MCI and AD subjects showed a decreased sleep instability correlated with their cognitive decline. Such a decrease may be considered as a potential biomarker of underlying neurodegeneration.

A Clinical-EEG Study of Sleepiness and Psychological Symptoms in Pharmacoresistant Epilepsy Patients Treated with Lacosamide

Our aim was to evaluate the EEG and clinical modifications induced by the new antiepileptic drug lacosamide (LCM) in patients with epilepsy. We evaluated 10 patients affected by focal pharmacoresistant epilepsy in which LCM (mean 250 mg/day) was added to the preexisting antiepileptic therapy, which was left unmodified. Morning waking EEG recording was performed before (t0) and at 6 months (t1) after starting LCM. At t0 and t1, patients were also administered questionnaires evaluating mood, anxiety, sleep, sleepiness, and fatigue (Beck Depression Inventory; State-Trait Anxiety Inventory Y1 and Y2; Pittsburgh Sleep Quality Index; Epworth Sleepiness Scale; Fatigue Severity Scale). We performed a quantitative analysis of EEG interictal abnormalities and background EEG power spectrum analysis. LCM as an add-on did not significantly affect anxiety, depression, sleepiness, sleep quality, and fatigue scales. Similarly, adding LCM to preexisting therapy did not modify significantly patient EEGs in terms of absolute power, relative power, mean frequency, and interictal abnormalities occurrence. In conclusion, in this small cohort of patients, we confirmed that LCM as an add-on does not affect subjective parameters which play a role, among others, in therapy tolerability, and our clinical impression was further supported by evaluation of EEG spectral analysis.

Differences in EEG delta frequency characteristics and patterns in slow-wave sleep between dementia patients and controls: a pilot study.

Purpose To evaluate the modifications of EEG activity during slow-wave sleep in patients with dementia compared with healthy elderly subjects, using spectral analysis and period-amplitude analysis. Methods Five patients with dementia and 5 elderly control subjects underwent night polysomnographic recordings. For each of the first three nonrapid eye movement–rapid eye movement sleep cycles, a well-defined slow-wave sleep portion was chosen. The delta frequency band (0.4–3.6 Hz) in these portions was analyzed with both spectral analysis and period-amplitude analysis. Results Spectral analysis showed an increase in the delta band power in the dementia group, with a decrease across the night observed only in the control group. For the dementia group, period-amplitude analysis showed a decrease in well-defined delta waves of frequency lower than 1.6 Hz and an increase in such waves of frequency higher than 2 Hz, in incidence and amplitude. Conclusions Our study showed (1) a loss of the dynamics of delta band power across the night sleep, in dementia, and (2) a different distribution of delta waves during slow-wave sleep in dementia compared with control subjects. This kind of computer-based analysis can highlight the presence of a pathologic delta activity during slow-wave sleep in dementia and may support the hypothesis of a dynamic interaction between sleep alteration and cognitive decline.

Psychological well-being of patients with insomnia and its relationship with anxiety and depression

The aims of the present study are to evaluate the impact of insomnia on psychological well-being and to examine the associations of insomnia and psychological well-being with anxiety and depression. Forty-one patients attending our hospital-based Centre for sleep medicine were administered scales for the evaluation of insomnia (ISI), anxiety (STAI-Y), depression (BDI-II) and psychological well-being (PWB). The scores were compared to those of a control group of 68 subjects attending the hospital for routine examinations or as accompanying persons. Significant differences between patients and controls were detected for anxiety and depression, as well as for psychological well-being. Even if subclinical on average, anxiety and depression symptoms were significantly related to poor psychological well-being, whereas insomnia per se was not. These findings suggest that patients with insomnia report a relevant impact on their psychological well-being, and that such an impact seems to be strongly associated with concomitant subthreshold symptoms of anxiety and depression. The implications for diagnosis and treatment are discussed.

Controversial Issues on EEG after Sleep Deprivation for the Diagnosis of Epilepsy

EEG after sleep deprivation (SD-EEG) is widely used in many epilepsy centers as an important tool in the epilepsy diagnosis process. However, after more than 40 years of use, there are a number of issues which still need to be clarified concerning its features and role. In particular, the many scientific papers addressing its role in epilepsy diagnosis often differ remarkably from each other in terms of the type of patients assessed, their description and study design. Furthermore, also the length and the type of EEG performed after SD, as well as the length of SD itself, vary dramatically from one study to another. In this paper we shortly underscore the abovementioned differences among the different reports, as well as some interpretations of the findings obtained in the different studies. This analysis emphasizes, if needed, how SD-EEG still represents a crucial step in epilepsy diagnosis, and how additional, controlled studies might further shape its precise diagnostic/prognostic role.

Daytime sleepiness in de novo untreated patients with epilepsy

The aims of our study were to evaluate excessive daytime sleepiness in a group of de novo untreated people with epilepsy using a comprehensive and standardized approach, including subjective evaluation and neurophysiological and performance tests, and to compare these results with those obtained in a control group. Forty-seven patients with epilepsy (17 affected by primary generalized epilepsy and 30 by partial epilepsy), with a new epilepsy diagnosis and never treated, and 44 controls underwent Multiple Sleep Latency Test (preceded by nocturnal polysomnography), simple/complex visual reaction times, and Epworth Sleepiness Scale evaluation. Newly diagnosed and drug-free patients with epilepsy did not differ from controls in any of the tests performed to evaluate daytime sleepiness. In clinical practice, daytime sleepiness is a well-known and frequent complaint of patients with epilepsy, but different mechanisms and causes, such as associated psychiatric or sleep disorders, nocturnal seizures, sleep fragmentation, and antiepileptic drugs, must be taken into account. Excessive daytime sleepiness should not be considered an unavoidable consequence of epilepsy. Thus, a complete diagnostic work-up in patients with epilepsy and sleepiness should be undertaken whenever possible.