scholarly journals Sleep disorder: a possible cause of attention deficit in children and adolescents with Chiari malformation type II

2009 ◽  
Vol 67 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Paulo Sérgio Azeredo Henriques Filho ◽  
Riccardo Pratesi
Keyword(s):  
Sleep Apnea ◽  
Sleep Disorders ◽  
Attention Deficit ◽  
Chiari Malformation ◽  
Sleep Apnea Syndrome ◽  
Rem Sleep Behavior Disorder ◽  
Behavior Disorder ◽  
Type Ii ◽  
Sleep Behavior ◽  
Apnea Syndrome

BACKGROUND: Attention deficit may be related to sleep disorders in Chiari malformation type II (CMII). Our aim is identify sleep disorders and their specific contribution in attention deficit. METHOD: We selected 24 patients with CM II and 24 without CM II. DSM-IV criteria and a neuropsychological analysis were applied in all. All patients underwent full night polysomnography. RESULTS: 14 CM II patients presented sleep apnea syndrome, REM sleep behavior disorder and periodic limb movement in sleep; six patients without CM II presented sleep apnea syndrome. Among these patients, 12 (six with CM II and six without CM II) presented attention deficit related to the sleep disorders. CONCLUSION: Sleep disorders may impair cognitive functions, as attention, and contribute to poor quality of learning also in patients with CM II.

Sleep Disorders

2015 ◽  
Author(s):  
Sudhansu Chokroverty
Keyword(s):  
Sleep Apnea ◽  
Sleep Disorders ◽  
Eye Movement ◽  
Rem Sleep ◽  
Sleep Apnea Syndrome ◽  
Nrem Sleep ◽  
Rapid Eye Movement ◽  
Circadian Rhythm Sleep Disorders ◽  
Apnea Syndrome ◽  
Sleep Mechanism

Recent research has generated an enormous fund of knowledge about the neurobiology of sleep and wakefulness. Sleeping and waking brain circuits can now be studied by sophisticated neuroimaging techniques that map different areas of the brain during different sleep states and stages. Although the exact biologic functions of sleep are not known, sleep is essential, and sleep deprivation leads to impaired attention and decreased performance. Sleep is also believed to have restorative, conservative, adaptive, thermoregulatory, and consolidative functions. This review discusses the physiology of sleep, including its two independent states, rapid eye movement (REM) and non–rapid eye movement (NREM) sleep, as well as functional neuroanatomy, physiologic changes during sleep, and circadian rhythms. The classification and diagnosis of sleep disorders are discussed generally. The diagnosis and treatment of the following disorders are described: obstructive sleep apnea syndrome, narcolepsy-cataplexy sydrome, idiopathic hypersomnia, restless legs syndrome (RLS) and periodic limb movements in sleep, circadian rhythm sleep disorders, insomnias, nocturnal frontal lobe epilepsy, and parasomnias. Sleep-related movement disorders and the relationship between sleep and psychiatric disorders are also discussed. Tables describe behavioral and physiologic characteristics of states of awareness, the international classification of sleep disorders, common sleep complaints, comorbid insomnia disorders, causes of excessive daytime somnolence, laboratory tests to assess sleep disorders, essential diagnostic criteria for RLS and Willis-Ekbom disease, and drug therapy for insomnia. Figures include polysomnographic recording showing wakefulness in an adult; stage 1, 2, and 3 NREM sleep in an adult; REM sleep in an adult; a patient with sleep apnea syndrome; a patient with Cheyne-Stokes breathing; a patient with RLS; and a patient with dream-enacting behavior; schematic sagittal section of the brainstem of the cat; schematic diagram of the McCarley-Hobson model of REM sleep mechanism; the Lu-Saper “flip-flop” model; the Luppi model to explain REM sleep mechanism; and a wrist actigraph from a man with bipolar disorder. This review contains 14 highly rendered figures, 8 tables, 115 references, and 5 MCQs.

scholarly journals The efficiency of obesity treatment in patients with insomnia and obstructive sleep apnea syndrome

2015 ◽  
Vol 13 (2) ◽  
pp. 25-32
Author(s):  
Natal'ya V. Strueva ◽  
Galina A. Mel'nichenko ◽  
Mikhail G. Poluektov ◽  
Larisa V. Savel'eva
Keyword(s):  
Weight Loss ◽  
Obstructive Sleep Apnea ◽  
Body Weight ◽  
Sleep Apnea ◽  
Sleep Disorders ◽  
Sleep Apnea Syndrome ◽  
Obese Patients ◽  
Obstructive Sleep ◽  
Apnea Syndrome ◽  
Clinically Significant

The aim of this study was to investigate the relationship between the dynamics of body weight and sleep disorders in the treatment of obesity.Materials and methods. The study included 200 obese patients: 83 men and 117 women.Results. Complaints about problems sleeping (snoring, hypersomnia, insomnia, etc.) were present in 78% of obese patients. 89 patients were under the observation of an endocrinologist for 7 ± 1 months, they were divided into three matched by age, sex and BMI groups: patients with obstructive sleep apnea syndrome (OSAS) (n = 42), the second – with the syndrome of insomnia (n = 19), the third (control group) – patients without sleep disorders (n = 24). After treatment of obesity the weight loss in patients with insomnia syndrome was -2.5 [-4; 0]kg, in patients with OSAS -7 [-18; -2] kg, in patients without sleep disorders -6.5 [-12; -2.25] kg. Clinically significant weight reduction was reached in 25 (59.5%) patients with OSAS; 3 (16%) – with insomnia syndrome; 15 (62.5%) – without sleep disorders.Conclusion. Thus, the insomnia syndrome essentially influences the obesity treatment results – most of patients with this sleep disorder (81.2%) do not achieve clinically significant weight loss. The presence and severity of breathing disorders during sleep do not prevent weight loss. However, with the regular use of CPAP-therapy in patients with OSAS has a tendency of greater reduction of body weight. 

Sleep Disorders

2015 ◽  
Author(s):  
Sudhansu Chokroverty
Keyword(s):  
Sleep Apnea ◽  
Sleep Disorders ◽  
Eye Movement ◽  
Rem Sleep ◽  
Sleep Apnea Syndrome ◽  
Nrem Sleep ◽  
Rapid Eye Movement ◽  
Circadian Rhythm Sleep Disorders ◽  
Apnea Syndrome ◽  
Sleep Mechanism

Recent research has generated an enormous fund of knowledge about the neurobiology of sleep and wakefulness. Sleeping and waking brain circuits can now be studied by sophisticated neuroimaging techniques that map different areas of the brain during different sleep states and stages. Although the exact biologic functions of sleep are not known, sleep is essential, and sleep deprivation leads to impaired attention and decreased performance. Sleep is also believed to have restorative, conservative, adaptive, thermoregulatory, and consolidative functions. This review discusses the physiology of sleep, including its two independent states, rapid eye movement (REM) and non–rapid eye movement (NREM) sleep, as well as functional neuroanatomy, physiologic changes during sleep, and circadian rhythms. The classification and diagnosis of sleep disorders are discussed generally. The diagnosis and treatment of the following disorders are described: obstructive sleep apnea syndrome, narcolepsy-cataplexy sydrome, idiopathic hypersomnia, restless legs syndrome (RLS) and periodic limb movements in sleep, circadian rhythm sleep disorders, insomnias, nocturnal frontal lobe epilepsy, and parasomnias. Sleep-related movement disorders and the relationship between sleep and psychiatric disorders are also discussed. Tables describe behavioral and physiologic characteristics of states of awareness, the international classification of sleep disorders, common sleep complaints, comorbid insomnia disorders, causes of excessive daytime somnolence, laboratory tests to assess sleep disorders, essential diagnostic criteria for RLS and Willis-Ekbom disease, and drug therapy for insomnia. Figures include polysomnographic recording showing wakefulness in an adult; stage 1, 2, and 3 NREM sleep in an adult; REM sleep in an adult; a patient with sleep apnea syndrome; a patient with Cheyne-Stokes breathing; a patient with RLS; and a patient with dream-enacting behavior; schematic sagittal section of the brainstem of the cat; schematic diagram of the McCarley-Hobson model of REM sleep mechanism; the Lu-Saper “flip-flop” model; the Luppi model to explain REM sleep mechanism; and a wrist actigraph from a man with bipolar disorder. This review contains 14 highly rendered figures, 8 tables, 115 references, and 5 MCQs.

scholarly journals 0813 Circadian Rest-activity Rhythm In Isolated Rem Sleep Behavior Disorder

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A309-A309
Author(s):  
A Stefani
Keyword(s):  
Motor Activity ◽  
Rem Sleep ◽  
Activity Rhythm ◽  
Sleep Apnea Syndrome ◽  
Rem Sleep Behavior Disorder ◽  
Behavior Disorder ◽  
Healthy Controls ◽  
Sleep Behavior ◽  
Screening Questionnaires ◽  
Rest Activity

Abstract Introduction Isolated REM sleep behavior disorder (iRBD) is a parasomnia characterized by abnormal behaviours occurring during REM sleep. Several studies showed that iRBD is a prodromal stage of synucleinopathies. Therefore identifying iRBD in the general population is of utmost importance. Aim of this study was to explore whether the assessment of circadian rest-activity rhythm features, measured by actigraphy, can distinguish iRBD patients from patients suffering from disorders characterized by other pathological motor activity during sleep and healthy controls. Methods Nineteen subjects with video-polysomnographic (v-PSG) diagnosis of iRBD, 39 subjects with other disorders with motor activity during sleep (19 restless leg syndrome -RLS- and 20 untreated sleep apnea syndrome patients -SAS) and 16 healthy controls underwent 2-week actigraphy, v-PSG, and completed RBD screening questionnaires. Nonparametric analyses were applied to assess rest-activity rhythm features; daytime napping was also evaluated. The diagnostic value of nonparametric measures has been assessed through ROC curve. Results iRBD patient showed lower sleep efficiency, increased WASO and increased frequency of prolonged activity bouts compared to RLS and controls, while no difference emerged with SAS patients. Moreover, iRBD patients presented increased occurrence of estimated nap in comparison to RLS, SAS and controls. The nonparametric measure I<O distinguished iRBD patients from RLS, SAS and controls with an area under the curve greater than that of RBD screening questionnaires. Conclusion The nonparametric index I<O is able to distinguish iRBD patients from patients with other pathological motor activity during sleep and controls, confirming its potential use as an objective measure suitable to screen large at-risk populations. Support This study was supported by a grant from the Austrian Science Fund (FWF) to Birgit Högl, I 2120-B27.

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