scholarly journals Task Positive and Default Mode Networks during a Parametric Working Memory Task in Obstructive Sleep Apnea Patients and Healthy Controls

SLEEP ◽  
2011 ◽  
Vol 34 (3) ◽  
pp. 293-301 ◽  
Author(s):  
Olga Prilipko ◽  
Nelly Huynh ◽  
Sophie Schwartz ◽  
Visasiri Tantrakul ◽  
Jee Hyun Kim ◽  
...  
2009 ◽  
Vol 18 (4) ◽  
pp. 404-410 ◽  
Author(s):  
MARK S. ALOIA ◽  
LAWRENCE H. SWEET ◽  
BETH A. JERSKEY ◽  
MOLLY ZIMMERMAN ◽  
JOHN TODD ARNEDT ◽  
...  

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A21-A22
Author(s):  
A Sengupta ◽  
D C Lim ◽  
B T Keenan ◽  
L Keele ◽  
A Pack ◽  
...  

Abstract Introduction Obstructive sleep apnea (OSA) is a common sleep breathing disorder with significant public health consequences. Despite this, no clinically available objective molecular biomarkers to diagnose, risk stratify and quantify treatment efficiency exist. To this end, high-throughput metabolomics data could serve as a valuable quantitative tool. Methods We designed a pilot study to investigate the metabolomic effects of OSA and CPAP treatment. Blood serum samples were collected from OSA patients and healthy controls matched with respect to age (±5 years), BMI (±2.5 kg/m2) and gender (N = 20/group). Samples from OSA patients were obtained before and after continuous positive airway pressure (CPAP) treatment. Polar metabolites were analyzed using a targeted ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) metabolomics technique. Results Supervised multivariate analysis using serum metabolic values of OSA patients and healthy controls showed a significantly different overall metabolic profile between the two groups (orthogonal partial least squares discriminant analysis [OPLS-DA] Q2=0.25, p=0.04). Acetylornithine, choline, cytidine, dodecenoylcarnitine, methionine sulfoxide and 3-indoxylsulfate were among the most perturbed metabolites. Major metabolic pathways altered in the OSA patients were methionine and phospholipid metabolism, as well as gut microbial co-metabolism. Lysophosphatidylcholine (16:0), a phospholipid metabolite, demonstrated significant linear association with improved oxygen saturation nadir post CPAP treatment (R2 = 0.57), suggesting the metabolic features may be used as prognostic clinical biomarkers. Conclusion These results suggest that OSA significantly impacts blood metabolites, which could potentially be used to establish OSA biomarkers. Moreover, specific metabolic features are associated with post CPAP improvement, such as phospholipids, suggesting a functional association of these metabolites that may help us understand the heterogeneity of OSA. Overall, these results demonstrate the potential of metabolic profiling to develop quantitative molecular markers of OSA. Further studies are underway to validate these findings and investigate the utility of metabolic profiles to objectively measure CPAP efficacy. Support The work was supported by the program project grant P01 HL094307.


SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A18-A18
Author(s):  
Saurabh S Thosar ◽  
Matthew P Butler ◽  
Nicole P Bowles ◽  
Andrew W McHill ◽  
Alec M Berman ◽  
...  

2008 ◽  
Vol 134 (4) ◽  
pp. A-588-A-589
Author(s):  
Shiko Kuribayashi ◽  
Lilani P. Perera ◽  
Muhammad Hafeezullah ◽  
Ahmed Nasef ◽  
Linda Tatro ◽  
...  

2008 ◽  
Vol 9 (8) ◽  
pp. 831-839 ◽  
Author(s):  
Filomena I.I. Cosentino ◽  
Paolo Bosco ◽  
Valeria Drago ◽  
Giuseppina Prestianni ◽  
Bartolo Lanuzza ◽  
...  

2015 ◽  
Vol 16 (9) ◽  
pp. 1109-1115 ◽  
Author(s):  
Esther Yuet Ying Lau ◽  
Elizabeth W.M. Choi ◽  
Esther S.K. Lai ◽  
Kristy N.T. Lau ◽  
C.T. Au ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Hiwa Mohammadi ◽  
Ardalan Aarabi ◽  
Mohammad Rezaei ◽  
Habibolah Khazaie ◽  
Serge Brand

Background: We compared the density and duration of sleep spindles topographically in stage 2 and 3 of non-rapid eye movement sleep (N2 and N3) among adults diagnosed with Obstructive Sleep Apnea Syndrome (OSAS) and healthy controls.Materials and Methods: Thirty-one individuals with OSAS (mean age: 48.50 years) and 23 healthy controls took part in the study. All participants underwent a whole night polysomnography. Additionally, those with OSAS were divided into mild, moderate and severe cases of OSAS.Results: For N2, sleep spindle density did not significantly differ between participants with and without OSAS, or among those with mild, moderate and severe OSAS. For N3, post-hoc analyses revealed significantly higher spindle densities in healthy controls and individuals with mild OSAS than in those with moderate or severe OSAS. Last, in N2 a higher AHI was associated with a shorter sleep spindle duration.Conclusion: OSAS is associated with a significantly lower spindle density in N3 and a shorter spindle duration in N2. Our results also revealed that, in contrast to moderate and severe OSAS, the sleep spindle characteristics of individuals with mild OSAS were very similar to those of healthy controls.


SLEEP ◽  
2021 ◽  
Author(s):  
Hea Ree Park ◽  
Jungho Cha ◽  
Eun Yeon Joo ◽  
Hosung Kim

Abstract Study Objectives Previous functional MRI studies have reported altered brain networks in patients with obstructive sleep apnea (OSA). However, the extent and pattern of abnormal connectivity were inconsistent across studies, and cerebrocerebellar connections have been rarely assessed. We investigated functional network changes in cerebral and cerebellar cortices of OSA patients. Methods Resting-state functional MRI, polysomnography and neuropsychological (NP) test data were acquired from 74 OSA patients (age: 45.8±10.7 years) and 33 healthy subjects (39.6±9.3 years). Connectivity matrices were extracted by computing correlation coefficients from various ROIs, and Fisher r-to-z transformations. In the functional connections that showed significant group differences, linear regression was conducted to examine the association between connectivity and clinical characteristics. Results Patients with OSA showed reduced functional connectivity (FC) in cerebrocerebellar connections linking different functional networks, and greater FC in cortical between-network connections in prefrontal regions involving the default mode network and the control network. For OSA group, we found no correlation between FC and sleep parameters including lowest SaO2 and arousal index in the connections where significant associations were observed in healthy subjects. FC changes in default mode network (DMN) areas were related to reduced verbal fluency in OSA. Lower local efficiency and lower clustering coefficient of the salience network in the left cerebellum were also observed in OSA. Conclusions OSA affects mainly the cerebrocerebellar pathway. The disruption of function in these connections are related to sleep fragmentation and hypoxia during sleep. These abnormal network functions, especially DMN, are suggested to participate in cognitive decline of OSA.


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