Alterations of functional connectivity in young people with depression mediate the relationship between sleep quality and cognitive function

BACKGROUND

Sleep disturbances is common in young people with depression, and poor sleep quality affects the ability to learn. In this study, we examined possible resting-state functional connectivity abnormalities between regions of interest, and clarified the relationship with depressive symptoms, sleep quality, and cognitive function.

METHODS

Resting-state functional magnetic resonance imaging (fMRI) was collected on 42 healthy controls (HCs), 82 youth depressive patients (44 without sleep disturbances (NSD), and 38 with sleep disturbances (SD)). Regions of interest were defined by using Brainnetome Atlas. Functional connectivity was calculated, and its associations with depressive symptoms, sleep quality, and cognitive function were examined using correlation analysis and mediation analysis.

RESULTS

The left and right caudal of cingulate gyrus, tongue and larynx region of postcentral gyrus were significant brain regions in NSD versus SD. The average functional connectivity between these regions was associated with poor sleep quality (r = 0.368, p = 0.001) and worse working memory (r = -0.256, p = 0.023) and mediated the relationship between sleep quality and working memory (c = -0.738, c' = -0.500).

LIMITATION

Data consistency in this study was not good enough. This study did not monitor sleep rhythms to provide objective sleep-related data.

CONCLUSION

The functional connectivity between the left and right caudal of cingulate gyrus with tongue and larynx region of postcentral gyrus may be the neural mechanism by which sleep disturbances affect working memory. This provides an intervention target for clinically improving cognitive function in young people with depression.

No phenotypic or genotypic evidence for a link between sleep duration and brain atrophy

Short sleep is held to cause poorer brain health, but is short sleep associated with higher rates of brain structural decline? Analysing 8,153 longitudinal MRIs from 3,893 healthy adults, we found no evidence for an association between sleep duration and brain atrophy. In contrast, cross-sectional analyses (51,295 observations) showed inverse U-shaped relationships, where a duration of 6.5 (95% confidence interval, (5.7, 7.3)) hours was associated with the thickest cortex and largest volumes relative to intracranial volume. This fits converging evidence from research on mortality, health and cognition that points to roughly seven hours being associated with good health. Genome-wide association analyses suggested that genes associated with longer sleep for below-average sleepers were linked to shorter sleep for above-average sleepers. Mendelian randomization did not yield evidence for causal impacts of sleep on brain structure. The combined results challenge the notion that habitual short sleep causes brain atrophy, suggesting that normal brains promote adequate sleep duration-which is shorter than current recommendations.

The association of amygdala-insula functional connectivity and adolescent e-cigarette use via sleep problems and depressive symptoms

BACKGROUND

Adolescent electronic cigarette (e-cigarette) use remains high. Elucidating contributing factors may enhance prevention strategies. Neurobiologically, amygdala-insula resting-state functional connectivity (rsFC) has been linked with aspects of sleep, affect, and substance use (SU). As such, we hypothesized that amygdala's rsFC with the insula would be associated with e-cigarette use via sleep problems and/or depression levels.

METHODS

An adolescent sample (N = 146) completed a rs-fMRI scan at time 1 and self-reports at time 2 (∼15 months later). Given consistent associations between mental health outcomes and the rsFC of the laterobasal amygdala (lbAMY) with the anterior insula, we utilized a seed region (lbAMY) to region of interest (ROI) analysis approach to characterize brain-behavior relationships. Two serial mediation models tested the interrelations between amygdala's rsFC with distinct anterior insula subregions (i.e., ventral insula [vI], dorsal insula [dI]), sleep problems, depression levels, and days of e-cigarette use.

RESULTS

An indirect effect was observed when considering the lbAMY's rsFC with the vI. Greater rsFC predicted more sleep problems, more sleep problems were linked with greater depressive symptoms, and greater depressive symptoms were associated with more e-cigarette use (indirect effect = 0.08, CI [0.01,0.21]). Indicative of a neurobiological dissociation, a similar indirect effect linking these variables was not observed when considering the lbAMY's rsFC with the dI (indirect effect = 0.03, CI [-0.001,0.10]).

CONCLUSIONS

These outcomes highlight functional interactions between the amygdala and insula as a neurobiological contributor to sleep problems, depressive symptoms, and ultimately SU thereby suggesting potential intervention points to reduce teen e-cigarette use.

Sleep Dysfunction and Grey Matter Volume

PURPOSE OF REVIEW

With the voxel-based morphometry (VBM), structural imaging studies turned into new directions aiming to explore neurological disorders differently. This approach helps identify possible pathophysiological correlations between neuroanatomical grey matter (GM) structures in patients with sleep dysfunction. This article reviews recent findings on GM structure in various sleep disorders and possible causes of disturbed sleep and discusses the future perspectives.

RECENT FINDINGS

At present, research on the effect of GM volume changes in specific brain areas on the pathogenesis of sleep disturbances is incomplete. It remains unknown if the GM thickness reduction in patients with REM sleep behaviour disorder, obstructive sleep apnea, restless legs syndrome, and insomnia is due to complex disease presentation or direct response to disturbed sleep. Additionally, many VBM studies have yielded inconsistent results showing either reduction or increase in GM. The spatiotemporal complexity of whole-brain networks and state transitions during sleep and the role of GM changes increase new debates. Having multimodal data from large sample studies can help model sleep network dynamics in different disorders and provide novel data for possible therapeutic interventions.

Link between Mild Traumatic Brain Injury, Poor Sleep, and Magnetic Resonance Imaging: Visible Perivascular Spaces in Veterans

Impaired clearance of perivascular waste in the brain may play a critical role in morbidity after mild traumatic brain injury (mTBI). We aimed to determine the effect of mTBI on the burden of magnetic resonance imaging (MRI)-visible perivascular spaces (PVSs) in a cohort of U.S. military veterans and whether sleep modulates this effect. We also investigated the correlation between PVS burden and severity of persistent post-concussive symptoms. Fifty-six Iraq/Afghanistan veterans received 3 Tesla MRI as part of a prospective cohort study on military blast mTBI. White matter PVS burden (i.e., number and volume) was calculated using an established automated segmentation algorithm. Multi-variate regression was used to establish the association between mTBIs sustained in the military and PVS burden. Covariates included age, blood pressure, number of impact mTBIs outside the military, and blast exposures. Correlation coefficients were calculated between PVS burden and severity of persistent post-concussive symptoms. There was a significant positive relationship between the number of mTBIs sustained in the military and both PVS number and volume (p = 0.04). A significant interaction was found between mTBI and poor sleep on PVS volume (p = 0.04). A correlation was found between PVS number and volume, as well as severity of postconcussive symptoms (p = 0.03). Further analysis revealed a moderate correlation between PVS number and volume, as well as balance problems (p < 0.001). In Iraq/Afghanistan veterans, mTBI is associated with an increase in PVS burden. Further, an interaction exists between mTBI and poor sleep on PVS burden. Increased PVS burden, which may indicate waste clearance dysfunction, is associated with persistent post-concussive symptom severity.

Altered intrinsic brain activity in mild Alzheimer's disease patients with sleep disturbances

Sleep disturbances are one of the preventive factors to delay the onset and progression of Alzheimer's disease. Early identification of Alzheimer's disease patients prone to develop sleep disturbances to offer early medical intervention is important. Resting-state functional MRI is a widely used method to investigate the neural mechanisms and find neuroimaging biomarkers in neuropsychiatric diseases. In this study, we applied percent amplitude of fluctuation (PerAF) and mPerAF (divided by global mean PerAF) to test the strength of intrinsic brain activity in 38 mild Alzheimer's disease patients with sleep disturbances (ADSD) and 21 mild Alzheimer's disease patients without sleep disturbances (ADNSD). Compared with ADNSD, we found decreased intrinsic brain activity in the calcarine gyrus, the lingual gyrus, the fusiform gyrus extending to the parahippocampal gyrus, the precentral gyrus, the postcentral gyrus (all in the left hemisphere) and the left brainstem. Conclusively, ADSD exhibited reduced neural activity in specific brain regions related to the sensorimotor network and the visual network, which indicated the contribution of sleep disturbances to the progression of Alzheimer's disease. Especially, the ventral visual pathway to the hippocampus might serve for the memory impaired by sleep disturbances in Alzheimer's disease, and the brainstem might be critical in the initiation of sleep disturbances in Alzheimer's disease. These findings further elucidate the interactions between Alzheimer's disease and sleep disturbances and could help with the early recognition of Alzheimer's disease patients who tend to develop sleep disturbances.

Structural Alterations in Large-scale Brain Networks and Their Relationship with Sleep Disturbances in the Adolescent Population

Although sleep disturbances are highly prevalent in adolescents, neuroimaging evidence on the effects of sleep disturbances on their developing brains remains limited. Therefore, we explored gray matter volumes (GMVs) at the whole-brain level and investigated their relationship to sleep disturbances in a sample of Korean adolescents in the general population. We recruited participants from one middle school and high school. All participants and their legal guardians gave informed consent before participating in our study. We used component 5 of the Pittsburgh Sleep Quality Index to measure sleep disturbances and conducted a voxel-based morphometry-DARTEL procedure to measure GMVs. We performed partial correlation analyses to examine whether the GMVs were associated with sleep disturbances. A total of 56 adolescents participated in this study. Our results revealed that GMVs in multiple global regions were negatively correlated with sleep disturbances. Moreover, most of these identified regions belong to large-scale brain networks categorized by functional neuroimaging studies. We found an association between regional GMVs in multiple global regions involved in large-scale networks and the severity of sleep disturbances in the adolescent population. Based on this evidence and previous neuroimaging evidence, we suggest that structural alterations in the networks may be linked to sleep disturbances.

Integrating sleep, neuroimaging, and computational approaches for precision psychiatry

In advancing precision psychiatry, we focus on what imaging technology and computational approaches offer for the future of diagnostic subtyping and personalized tailoring of interventions for sleep impairment in mood and anxiety disorders. Current diagnostic criteria for mood and anxiety tend to lump different forms of sleep disturbance together. Parsing the biological features of sleep impairment and brain circuit dysfunction is one approach to identifying subtypes within these disorders that are mechanistically coherent and offer targets for intervention. We focus on two large-scale neural circuits implicated in sleep impairment and in mood and anxiety disorders: the default mode network and negative affective network. Through a synthesis of existing knowledge about these networks, we pose a testable framework for understanding how hyper- versus hypo-engagement of these networks may underlie distinct features of mood and sleep impairment. Within this framework we consider whether poor sleep quality may have an explanatory role in previously observed associations between network dysfunction and mood symptoms. We expand this framework to future directions including the potential for connecting circuit-defined subtypes to more distal features derived from digital phenotyping and wearable technologies, and how new discovery may be advanced through machine learning approaches.

Orthogonal convolutional neural networks for automatic sleep stage classification based on single-channel EEG

BACKGROUND AND OBJECTIVE

In recent years, several automatic sleep stage classification methods based on convolutional neural networks (CNN) by learning hierarchical feature representation automatically from raw EEG data have been proposed. However, the state-of-the-art of such methods are quite complex. Using a simple CNN architecture to classify sleep stages is important for portable sleep devices. In addition, employing CNNs to learn rich and diverse representations remains a challenge. Therefore, we propose a novel CNN model for sleep stage classification.

METHODS

Generally, EEG signals are better described in the frequency domain; thus, we convert EEG data to a time-frequency representation via Hilbert-Huang transform. To learn rich and effective feature representations, we propose an orthogonal convolutional neural network (OCNN). First, we construct an orthogonal initialization of weights. Second, to avoid destroying the orthogonality of the weights in the training process, orthogonality regularizations are proposed to maintain the orthogonality of weights. Simultaneously, a squeeze-and-excitation (SE) block is employed to perform feature recalibration across different channels.

RESULTS

The proposed method achieved a total classification accuracy of 88.4% and 87.6% on two public datasets, respectively. The classification performances of different convolutional neural networks models were compared to that of the proposed method. The experiment results demonstrated that the proposed method is effective for sleep stage classification.

CONCLUSIONS

Experiment results indicate that the proposed OCNN can learn rich and diverse feature representations from time-frequency images of EEG data, which is important for deep learning. In addition, the proposed orthogonality regularization is simple and can be easily adapted to other architectures.

Interactions between sleep disturbances and Alzheimer's disease on brain function: a preliminary study combining the static and dynamic functional MRI

Though sleep disturbance constitutes the risk factor for Alzheimer's disease (AD), the underlying mechanism is still unclear. This study aims to explore the interaction between sleep disturbances and AD on brain function. We included 192 normal controls, 111 mild cognitive impairment (MCI), and 30 AD patients, with either poor or normal sleep (PS, NS, respectively). To explore the strength and stability of brain activity, we used static amplitude of low-frequency fluctuation (sALFF) and dynamic ALFF (dALFF) variance. Further, we examined white matter hyperintensities (WMH) and amyloid PET deposition, representing the vascular risk factor and AD-related hallmark, respectively. We observed that sleep disturbance significantly interacted with disease severity, exposing distinct effects on sALFF and dALFF variance. Interestingly, PS groups showed the dALFF variance trajectory of initially increased, then decreased and finally increased along the AD spectrum, while showing the opposite trajectory of sALFF. Further correlation analysis showed that the WMH burden correlates with dALFF variance in PS groups. Conclusively, our study suggested that sleep disturbance interacts with AD severity, expressing as effects of compensatory in MCI and de-compensatory in AD, respectively. Further, vascular impairment might act as important pathogenesis underlying the interaction effect between sleep and AD.

Sleep fragmentation, microglial aging, and cognitive impairment in adults with and without Alzheimer's dementia

Sleep disruption is associated with cognitive decline and dementia in older adults; however, the underlying mechanisms are unclear. In rodents, sleep disruption causes microglial activation, inhibition of which improves cognition. However, data from humans are lacking. We studied participants in two cohort studies of older persons-the Rush Memory and Aging Project and the Religious Orders Study. We assessed sleep fragmentation by actigraphy and related this to cognitive function, to neocortical microglial marker gene expression measured by RNA sequencing, and to the neocortical density of microglia assessed by immunohistochemistry. Greater sleep fragmentation was associated with higher neocortical expression of genes characteristic of aged microglia, and a higher proportion of morphologically activated microglia, independent of chronological age- and dementia-related neuropathologies. Furthermore, these were, in turn, associated with worse cognition. This suggests that sleep fragmentation is accompanied by accelerated microglial aging and activation, which may partially underlie its association with cognitive impairment.

Association of β-Amyloid Burden With Sleep Dysfunction and Cognitive Impairment in Elderly Individuals With Cognitive Disorders

IMPORTANCE

Evidence shows that sleep dysfunction and β-amyloid (Aβ) deposition work synergistically to impair brain function in individuals with normal cognition, increasing the risk of developing dementia later in life. However, whether Aβ continues to play an integral role in sleep dysfunction after the onset of cognitive decline in individuals with dementia is unclear.

OBJECTIVE

To determine whether Aβ deposition in the brain is associated with subjective measures of sleep quality and cognition in elderly individuals with cognitive disorders.

DESIGN, SETTING, AND PARTICIPANTS

A nested survey study was conducted at the Cognitive Disorders and Comprehensive Alzheimer Disease Center of Thomas Jefferson University Hospital in Philadelphia, Pennsylvania. Participants included patients aged 65 years and older with cognitive disorders verified by neuropsychological testing. Eligible participants were identified from a referral center-based sample of patients who underwent fluorine 18-labeled florbetaben positron emission tomography imaging at Thomas Jefferson University Hospital as part of the multicenter Imaging Dementia-Evidence for Amyloid Scanning study. Data collection and analysis occurred between November 2018 and March 2019.

MAIN OUTCOMES AND MEASURES

Sleep quality was measured via responses to sleep questionnaires, Aβ deposition was measured via fluorine 18-labeled florbetaben positron emission tomography, and cognition was measured via Mini-Mental State Examination (MMSE) performance.

RESULTS

Of the 67 eligible participants, 52 (77.6%) gave informed consent to participate in the study. Of the 52 enrolled participants (mean [SD] age, 76.6 [7.4] years), 27 (51.9%) were women. Daytime sleepiness was associated with Aβ deposition in the brainstem (B = 0.0063; 95% CI, 0.001 to 0.012; P = .02), but not MMSE performance (B = -0.01; 95% CI, -0.39 to 0.37; P = .96). The number of nocturnal awakenings was associated with Aβ deposition in the precuneus (B = 0.11; 95% CI, 0.06 to 0.17; P < .001) and poor MMSE performance (B = -2.13; 95% CI, -3.13 to -1.13; P < .001). Mediation analysis demonstrated an indirect association between Aβ deposition and poor MMSE performance that relied on nocturnal awakenings as an intermediary (B = -3.99; 95% CI, -7.88 to -0.83; P = .01).

CONCLUSIONS AND RELEVANCE

Nighttime sleep disruption may mediate the association between Aβ and cognitive impairment, suggesting that there is an underlying sleep-dependent mechanism that links Aβ burden in the brain to cognitive decline. Further elucidation of this mechanism may improve understanding of disease processes associated with Aβ accumulation.

Evaluation of sleep pattern disorders in breast cancer patients receiving adjuvant treatment (chemotherapy and/or radiotherapy) using polysomnography

PURPOSE

To assess sleep disturbance patterns in breast cancer patients receiving adjuvant radiotherapy and/or chemotherapy in comparison to normal subjects, and their impact on quality of life.

METHODS

Seventy-four histologically proven breast cancer patients of both genders, aged 30 to 65 years, were classified into 2 groups. First group: 26 patients with breast cancer before receiving any treatment. Second group: 48 breast cancer patients, subdivided into group A (24 patients with adjuvant chemotherapy), and group B (24 patients with adjuvant radiotherapy). A control group consisted of 24 healthy individuals matched in age and sex with patient groups. Clinical assessment of sleep was done using the Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS) and one night Polysomnography (NPSG).

RESULTS

No statistically significant difference regarding age and sex was found compared to control group. The severity of insomnia (ISI) was 29.2%, 4.2%, 7.7% and 0% for patients who received chemotherapy and/or radiotherapy, and comparison of patients without treatment and the control group showed statistical significance. Excessive daytime sleepiness was 37.5%, 25%, 26.9% and 0% for patients who received chemotherapy and/or radiotherapy, before receiving treatment, and the control groups respectively, the difference been significant. Comparison of patients who received treatment with those who did not and the control groups showed significant shortening of total sleep time, decrease of sleep efficiency and lengthening of sleep latency. Significant lengthening in stage 2 of non-rapid eye movement (NREM), while insignificant lengthening in stages 1, 3 and 4 of NREM sleep was noted. Significant reduction of rapid eye movement (REM) and total sleep time percentage were observed. Sleep apnea was insignificantly more common in breast cancer patients compared to healthy controls.

CONCLUSION

Sleep-related changes in breast cancer patients should be used in planning best supportive care.

Effect of sleep quality on amnestic mild cognitive impairment vulnerable brain regions in cognitively normal elderly individuals

STUDY OBJECTIVES

This study aims to evaluate the extent to which sleep quality impacts amnestic mild cognitive impairment (aMCI)-related brain regions in a cognitively normal cohort of individuals.

METHODS

Seventy-four participants were rigorously evaluated using a battery of cognitive tests and a detailed clinical assessment to verify normal cognitive status. We then screened for sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and depressive symptoms using the Geriatric Depression Scale (GDS). Five subjects were excluded due to mild depression. Overall 38 individuals with mean age 70.7 ± 7 were classified as poor sleepers and 31 with mean age of 69.6 ± 6 years as normal sleepers. Structural MRI and Freesurfer brain parcellation were used to measure aMCI-related brain regions.

RESULTS

Relative to normal sleepers, poor sleepers exhibited significant reductions in cortical and subcortical volumes bilaterally in the hippocampi, as well as in the superior parietal lobules and left amygdala. The effects were strongest in the left superior parietal lobule (p < .015), followed by the hippocampi. Diffuse patterns of cortical thinning were observed in the frontal lobes, but significant effects were concentrated in the right mesial frontal cortex. Lower sleep duration was most correlated with cortical volume and thickness reductions among all subjects.

CONCLUSIONS

Atrophy related to poor sleep quality impacted a number of regions implicated in aMCI and Alzheimer's disease (AD). As such, interventions targeted towards improving sleep quality amongst the elderly may prove an effective tool for modulating the course of aMCI and AD.

[Not Available]

Zusammenfassung. Ein bis dahin gesunder 27-jähriger Mann stellte sich mit protrahierten nächtlichen Rückenschmerzen sowie Hypästhesie L5/S1 rechts vor. Die aufgrund des klinischen Bilds durchgeführte Magnetresonanztomografie zeigte eine Raumforderung intramedullär in der Höhe der Segmente thorakal 9–12. Nach einer kompletten Tumorresektion blieb die Klinik unverändert, der Patient war aber drei Monate postoperativ beschwerdefrei.

Physiological and pathological high-frequency oscillations have distinct sleep-homeostatic properties

OBJECTIVE

The stage of sleep is a known modulator of high-frequency oscillations (HFOs). For instance, high amplitude slow waves during NREM sleep and the subtypes of REM sleep were shown to contribute to a better separation between physiological and pathological HFOs. This study investigated rates and spatial spread of the different HFO types (physiological and pathological ripples in the 80-250 Hz frequency band, and fast ripples above 250 Hz) depending on time spent in sleep across the different sleep cycles.

METHODS

Fifteen patients with focal pharmaco-resistant epilepsy underwent one night of video-polysomnography during chronic intracranial EEG recording for presurgical epilepsy evaluation. The HFO rate and spread across the different sleep cycles were determined with an automatic HFO detector. We built models to explain the observed rate and spread based on time in sleep and other variables i.e. sleep stage, delta band and sigma band activity, and slow wave amplitude. Statistical significance of the different variables was determined by a model comparison using the Akaike information criterion.

RESULTS

The rate of HFOs depends significantly on the accumulated time of sleep. As the night advanced, the rate of pathological ripples and fast ripples decreased during NREM sleep (up to 15% per hour spent in the respective sleep stages), while the rate of physiological ripples increased during REM sleep (8% per hour spent in REM sleep). Interestingly, the stage of sleep but not the sleep cycle determined the extent of spread of HFOs, showing a larger field during NREM sleep and a more restricted field during REM sleep.

CONCLUSION

The different dependence with sleep time for physiological and pathological ripples is in keeping with their distinct underlying generating mechanisms. From a practical point of view, the first sleep cycle seems to be best suitable for studying HFOs in epilepsy, given that the contrast between physiological and pathological ripple rates is largest during this time.

Self-reported sleep and β-amyloid deposition in community-dwelling older adults

IMPORTANCE

Older adults commonly report disturbed sleep, and recent studies in humans and animals suggest links between sleep and Alzheimer disease biomarkers. Studies are needed that evaluate whether sleep variables are associated with neuroimaging evidence of β-amyloid (Aβ) deposition. OBJECTIVE To determine the association between self-reported sleep variables and Aβ deposition in community-dwelling older adults.

DESIGN, SETTING, AND PARTICIPANTS

Cross-sectional study of 70 adults (mean age, 76 [range, 53-91] years) from the neuroimaging substudy of the Baltimore Longitudinal Study of Aging, a normative aging study. EXPOSURE Self-reported sleep variables. MAIN OUTCOMES AND MEASURES β-Amyloid burden, measured by carbon 11-labeled Pittsburgh compound B positron emission tomography distribution volume ratios (DVRs).

RESULTS

After adjustment for potential confounders, reports of shorter sleep duration were associated with greater Aβ burden, measured by mean cortical DVR (B = 0.08 [95% CI, 0.03-0.14]; P = .005) and precuneus DVR (B = 0.11 [0.03-0.18]; P = .007). Reports of lower sleep quality were associated with greater Aβ burden measured by precuneus DVR (B = 0.08 [0.01-0.15]; P = .03).

CONCLUSIONS AND RELEVANCE

Among community-dwelling older adults, reports of shorter sleep duration and poorer sleep quality are associated with greater Aβ burden. Additional studies with objective sleep measures are needed to determine whether sleep disturbance causes or accelerates Alzheimer disease.

[Structure of nocturnal sleep if there is a violation of the blood supply in the territory of internal carotid artery]

The work examines the influence of degree ofstenosis or occlusion of the internal carotid artery (ICA) of noc- turnal sleep and discusses possible neurophysiological mechanisms of sleep disorders when blood flow in ca- rotid system. 24 patients (19 male and 5 female) were examined. The mean age of men was 49.75 ± 6.55; women--46.67 ± 5.86. Six patients with a single unilateral internal carotid stenosis (ICA) 50%; seven patients--stenosis of ICA 50-70%; eleven patients--occlusion of ICA completed the study. Polysomnography was recorded with "Neuro-Spectr-5/EP" ("NeuroSoft", Russia) and "Delta Flash" ("Deltamed", France) according to international recommendation. Stages of sleep were identified according to Re- chtschaffen A., Kales A. (1968) criteria. Patients were asked to fill in the questionnaire prior to clinical and polysomnographic evaluation. Regional cerebral blood flow (mL/100g/min) with 99mTechnetium (Gamma-camera, DST-Xli "General electric", USA) was study by single photon emission CT imaging. The result of this study showed that with stenosis of the ICA to 50% structure of nocturnal sleep is not changed: records all phases and stages of sleep, quantitative parameters that match the normative data; or decline in the representation of only the stage II sleep; at stenosis ICA of 50-70% is violation of mostly stage II sleep and slow-wave sleep, and with occlusion ICA violation slow-wave sleep and in 45% of cases--REM-sleep.

Reduced cerebral blood flow and white matter hyperintensities predict poor sleep in heart failure

BACKGROUND

Poor sleep is common in heart failure (HF), though mechanisms of sleep difficulties are not well understood. Adverse brain changes among regions important for sleep have been demonstrated in patients with HF. Cerebral hypoperfusion, a correlate of sleep quality, is also prevalent in HF and a likely contributor to white matter hyperintensities (WMH). However, no study to date has examined the effects of cerebral blood flow, WMH, and brain volume on sleep quality in HF.

METHODS

Fifty-three HF patients completed the Pittsburgh Sleep Quality Index and underwent brain magnetic resonance imaging to quantify brain and WMH volume. Transcranial Doppler ultrasonography assessed cerebral blood flow velocity of the middle cerebral artery (CBF-V of the MCA).

RESULTS

75.5% of HF patients reported impaired sleep. Regression analyses adjusting for medical and demographic factors showed decreased CBF-V of the MCA and greater WMH volume were associated with poor sleep quality. No such pattern emerged on total brain or regional volume indices.

CONCLUSIONS

Decreased cerebral perfusion and greater WMH may contribute to sleep difficulties in HF. Future studies are needed to confirm these findings and clarify the effects of cerebral blood flow and WMH on sleep in healthy and patient samples.

A neurological cause of recurrent choking during sleep

We describe a case of nocturnal choking episodes caused by insular seizures. Recurrent choking spells from sleep showed no response to treatment for sleep apnea or gastroesophageal reflux. Laryngoscopy revealed no abnormalities. Although continuous EEG monitoring during events was normal, ictal SPECT imaging showed increased radiotracer uptake in the left insular region, an area involved in sensation of the upper gastrointestinal tract. The episodes remitted after initiation of an antiepileptic drug. Obstructive sleep apnea is the most common cause for presentation to a sleep center, but seizures should remain in the differential diagnosis of nocturnal choking episodes.

Slow wave and rem sleep mechanisms are differently altered in hereditary pick disease associated with the TAU G389R mutation

Sleep disturbances are found in the course of most dementing syndromes. We report a longitudinal polysomnographic and 18FDG-PET study in a 38-year-old male with FTDP17 carrying the Tau gene mutation G389R. All-night sleep EEG and wake cerebral glucose metabolism at rest (eyes/ears covered) of the preceding day were studied twice, eight months (Night 1; PET 1) and sixteen months (Night 2; PET 2) after the initial neurological evaluation. The Night 1 study showed sleep fragmentation associated to a short REM latency and a severe reduction of slow wave sleep, with relatively preserved NREM-REM sleep cycles; daytime PET 1 revealed severe cerebral glucose metabolic reductions in frontal and temporal areas, with relative preservation of remaining cortical regions and subcortical structures. On Night 2, the total sleep time was less than 5 hours, delta sleep and REM latency remained shortened and only two sleep cycles could be identified; daytime PET 2 exam revealed a greater cortical metabolic impairment and an involvement of subcortical brain regions as compared to PET 1. Post-mortem neuropathological data showed severe neuronal loss, spongiosis and gliosis that were mostly marked in cortical layers I, II, V and VI. In vivo, neurometabolic and post-mortem neuropathological data are consistent with and indicative of a severe dysfunction of intra- and trans-hemispheric regional connectivity and of cortico-thalamic circuits. These findings suggest that the decreased cortical and subcortical connectivity may have been the main pathophysiological mechanism responsible for delta sleep reduction and the cognitive decline.

[Alzheimer's dementia, sleep disorders and nuclear medicine]

In case new diagnostic procedures for Alzheimer's dementia (AD) appear, Nuclear Medicine (NM) would like to be aware of them in order to evaluate its own contribution to diagnose AD by SPET and PET brain studies. Recently, sleep disturbances were studied in AD and tend to be diagnostic for early AD. In AD the actual time of night sleep was found to be 5.7 h, while awakeness time for the same night sleep increased to 2.7 h. Also in AD, the REM and the slow wave stage (SWS) during sleep are shorter and hypopnea and apnea phases are abundant. Internal body temperature during night sleep is only slightly increased in AD, while in temporofrontal dementia and in normal individuals this increase is significant. The circadian rhythm of melatonin is disturbed in AD. The normal duration of inspiration and expiration during daytime which is reversed during normal night sleep, has not been studied in patients with AD. However, this reverse condition favoring inspiration is expected to provide more oxygen to the brain. Chronic but not acute stress causes memory loss and is currently being studied by us as a possible causative factor for memory loss in AD. Tomographic SPET and PET brain studies can locate the site of brain damage in AD. This is important since memory has recently been classified into four categories, namely episodic, semantic, procedural and working memory. In early AD only procedural memory remains intact. This means that these patients may drive a car, do computer word processing and play some games at home or/and in the field. This memory is located in specific nuclei in the cerebellum and the occipital frontal area which do not relate to sites of other kinds of memory. This difference could be well identified by tomographic SPET or PET studies. Thus NM may also diagnose the early stage of AD. Another issue refers to the indications that the unified Medicare and Medicaid system in the USA has issued on September 15, 2004 for performing a PET (18)F-FDG study for AD. These indications are fully described in this editorial.

Reduced striatal dopamine transporters in idiopathic rapid eye movement sleep behaviour disorder. Comparison with Parkinson's disease and controls

Rapid eye movement (REM) sleep behaviour disorder (RBD) is characterized by complex behaviour during REM sleep. The aetiology of this disorder is still unknown, but a recent study showed an association between RBD and Parkinson's disease. We therefore studied striatal postsynaptic dopamine D2 receptor density with [123I](S)-2-hydroxy-3-iodo-6-methoxy-(1-ethyl-2-pyrrolidinylmethyl ) benzamide ([123I]IBZM) and the striatal presynaptic dopamine transporter with (N)-(3-iodopropene-2-yl)-2beta-carbomethoxy-3beta-(4-chlorop henyl) tropane ([123I]IPT) using single-photon emission computed tomography (SPECT) in patients with idiopathic RBD. We compared the [123I]IPT-SPECT results of five patients with polysomnographically confirmed idiopathic RBD with the [123I]IPT-SPECTs of seven age- and sex-matched controls without a history of sleep disorders, and of 14 patients with Parkinson's disease (Hoehn and Yahr stage I). All RBD patients had significantly reduced striatal [123I]IPT binding compared with the controls (RBD: right, 2.94 +/- 0.32, left, 3.03 +/- 0.41; controls: right, 4.41 +/- 0.17, left, 4.34 +/- 0.21; P = 0.003), but significantly higher striatal [123I]IPT binding compared with the striatum contralateral to the symptomatic body side of the Parkinson's disease patients (Parkinson's disease: ipsilateral, 3.17 +/- 0.36, P = 0.298; contralateral, 2.51 +/- 0.31, P = 0.019). Uptake of [123I]IBZM was not significantly different in the RBD group compared with the controls. This study demonstrates that [123I]IPT-SPECT is a useful diagnostic tool in RBD and that reduced striatal dopamine transporters may be a pathophysiological mechanism of idiopathic RBD. (Results are given as mean +/- standard deviation.)

A new concept for melatonin deficit: on pineal calcification and melatonin excretion

Even though exogenous melatonin has proven to influence sleep and circadian parameters, low endogenous melatonin is not related to sleep disturbances, nor does it predict response to melatonin replacement therapy. In this manuscript, we present a new concept towards a definition of a melatonin deficit. The purpose of the study was to introduce a marker for an intra-individual decrease in melatonin production. Therefore, we developed a method to quantify the degree of pineal calcification (DOC) using cranial computed tomography. Combining pineal DOC with the organs's size, we estimated the uncalcified pineal gland volume. This estimation was positively and significantly associated with 6-sulfatoxymelatonin (aMT6s), collected over 24 hours in urine, in 26 subjects. Data yielded evidence that the decline in aMT6s excretion with age can be sufficiently explained by an increased pineal calcification. These results suggest that DOC might be useful as an indicator of an intra-individual, decreased capability of the pineal gland to produce melatonin. DOC might prove to be a response-marker for melatonin replacement therapy and a vulnerability marker of the circadian timing system.

The right brain hemisphere is dominant in human infants

The development of functional brain asymmetry during childhood is confirmed by changes in cerebral blood flow measured at rest using dynamic single photon emission computed tomography. Between 1 and 3 years of age, the blood flow shows a right hemispheric predominance, mainly due to the activity in the posterior associative area. Asymmetry shifts to the left after 3 years. The subsequent time course of changes appear to follow the emergence of functions localized initially on the right, but later on the left hemisphere (i.e. visuospatial and later language abilities). These findings support the hypothesis that, in man, the right hemisphere develops its functions earlier than the left.

Fetal behaviour and the sudden infant death syndrome (SIDS)

To examine whether differences in sleep maturation could be identified before birth, behavioural studies were carried out in 28 fetuses. Studies were possible in all 28 fetuses at 28 weeks, but only in 26 fetuses at 36 weeks (two fetuses delivered before 36 weeks). The risk of sudden infant death syndrome (SIDS) was determined using the Oxford SIDS scoring system. The fetuses at greater risk of SIDS had coincidence of behavioural characteristics for a significantly lower percentage of the time than those at low risk. This difference reached significance (p < or = 0.05) only at 36 weeks.

Dopamine D2 receptor alteration in patients with periodic movements in sleep (nocturnal myoclonus)

Periodic movements in sleep (PMS) can cause severe sleep disturbances. We investigated the central dopamine D2 receptor density in patients with PMS with 123I-IBZM and single photon emission tomography (SPET). In PMS there was a lower 123I-IBZM binding in the basal ganglia compared to the control group. The results indicate a loss of central D2 receptors in PMS.

Slit ventricle syndrome presenting with paroxysmal hypersomnia in an adult: case report

The slit ventricle syndrome (SVS), defined as intermittent shunt malfunction without substantial ventricular enlargement, is usually observed in shunted children with small, slitlike ventricles. This syndrome has been attributed to recurrent obstruction of the ventricular catheter, which then causes an increase of intracranial pressure. Only rarely has the SVS been reported in adults. We describe a 29-year-old woman whose shunt malfunction presented with long-lasting paroxysmal hypersomnia and was diagnosed with computed tomographic evidence of small lateral ventricles. This episodic hypersomnia presented every 2 to 3 weeks and each episode lasted 1 to 2 weeks. After revision of the ventricular catheter, her symptoms stopped and she remained well.

The paramedian diencephalic syndrome: a dynamic phenomenon

The paramedian diencephalic syndrome is characterized by a clinical triad: hypersomnolent apathy, amnesic syndrome, and impaired vertical gaze. We studied 4 cases with computed tomography evidence of bilateral diencephalic infarctions. Each case began abruptly with hypersomnolent apathy followed by fluctuations from appropriate affect, full orientation, and alertness to labile mood, confabulation, and apathy. Speech varied from hypophonia to normal; handwriting varied from legible script to gross scrawl. Psychological testing revealed poor learning and recall, with low performance scores. In 3 patients the predominant abnormality was in downward gaze.