Table_1_The Effects of CPAP Treatment on Resting-State Network Centrality in Obstructive Sleep Apnea Patients.DOCX
Obstructive sleep apnea (OSA) is the most common sleep disorder and previous studies have shown that OSA patients suffer from brain network impairments associated with cognitive deficits, and continuous positive airway pressure (CPAP) treatment can improve clinical symptoms. However, the relationship between CPAP treatment and brain network changes remains unclear. This study explored the characteristics of brain network changes in OSA patients before (pre-CPAP) and after one month of CPAP treatment (post-CPAP).
MethodsWe collected data, including sleep monitoring, clinical assessment, and magnetic resonance imaging scans, from 21 OSA patients and 21 age-matched healthy controls (HCs). Voxel-level degree centrality (DC) was used to assess whole-brain network connectivity characteristics, a two-sample t-test was used to compare network differences between pre-CPAP OSA patients and HCs, and a paired sample t-test was used to compare the characteristics of brain network changes in OSA patients before and after treatment. The correlations between the DC value and each of the clinical variables were analyzed in the OSA patients.
ResultsCompared with HCs, pre-CPAP OSA patients showed increased DC values in the bilateral cerebellar posterior lobes (CPLs) and decreased DC values in the right superior temporal gyrus, left superior frontal gyrus and right middle frontal gyrus. Compared with pre-CPAP OSA patients, post-CPAP OSA patients showed reduced DC values in the bilateral CPL and increased DC values in several brain regions in the frontal, temporal, and insular lobes after CPAP treatment. The Montreal Cognitive Assessment MoCA (MoCA) scores were positively correlated with the DC value of the bilateral cerebellum posterior lobe, right middle temporal gyrus, left superior temporal gyrus, left paracentral lobule and left paracentral lobule. Also, Pittsburgh Sleep Quality Index (PSQI) scores were negatively correlated with the DC value of the right middle temporal gyrus in post-CPAP OSA patients.
ConclusionCPAP treatment can effectively reverse the compensatory response of the bilateral CPL and functional network damage brought about by OSA, which may provide potential neuroimaging biomarkers for CPAP treatment evaluation.
History
References
- https://doi.org//10.1016/S0140-6736(13)60734-5
- https://doi.org//10.1503/cmaj.170296
- https://doi.org//10.1016/j.smrv.2016.01.007
- https://doi.org//10.1016/j.smrv.2016.07.002
- https://doi.org//10.3978/j.issn.2072-1439.2015.06.1
- https://doi.org//10.1111/jsr.12647
- https://doi.org//10.1016/j.biopsych.2021.02.973
- https://doi.org//10.1007/s11910-021-01123-0
- https://doi.org//10.1111/j.1468-1331.2008.02244.x
- https://doi.org//10.2147/NDT.S67805
- https://doi.org//10.1371/journal.pone.0164031
- https://doi.org//10.1007/s11325-017-1474-9
- https://doi.org//10.1093/sleep/zsz247
- https://doi.org//10.1093/sleep/zsab209
- https://doi.org//10.1056/NEJMc1613219
- https://doi.org//10.1016/j.smrv.2021.101543
- https://doi.org//10.1056/NEJMoa1606599
- https://doi.org//10.1016/j.smrv.2015.07.002
- https://doi.org//10.1007/s00415-019-09381-2
- https://doi.org//10.1016/j.smrv.2020.101375
- https://doi.org//10.1164/rccm.201005-0693OC
- https://doi.org//10.1002/hbm.23038
- https://doi.org//10.1164/rccm.200406-738OC
- https://doi.org//10.1016/j.sleep.2018.12.027
- https://doi.org//10.1093/sleep/zsy001
- https://doi.org//10.1378/chest.15-0171
- https://doi.org//10.1007/s11065-010-9148-4
- https://doi.org//10.1093/cercor/bhr269
- https://doi.org//10.1016/j.neubiorev.2014.05.009
- https://doi.org//10.1371/journal.pone.0141389
- https://doi.org//10.3389/fnhum.2016.00617
- https://doi.org//10.1002/hbm.24601
- https://doi.org//10.1007/s11682-018-9936-7
- https://doi.org//10.5664/jcsm.6506
- https://doi.org//10.1016/j.neuroimage.2011.07.044
- https://doi.org//10.1503/jpn.130220
- https://doi.org//10.1016/j.tics.2013.09.012
- https://doi.org//10.1080/147342202753203078
- https://doi.org//10.1016/j.sleep.2018.09.025
- https://doi.org//10.1016/j.sleep.2016.03.010
- https://doi.org//10.1016/j.bandc.2004.09.016
- https://doi.org//10.1093/cercor/bhw157
- https://doi.org//10.1016/j.tics.2010.11.004
- https://doi.org//10.1126/science.aan8868
- https://doi.org//10.2147/NDT.S73730
- https://doi.org//10.1016/j.sleep.2020.09.009
- https://doi.org//10.1093/sleep/33.2.235
- https://doi.org//10.1016/j.smrv.2015.03.001
- https://doi.org//10.1046/j.1365-2869.2002.00289.x
- https://doi.org//10.1146/annurev.neuro.27.070203.144130
- https://doi.org//10.1038/nrn2154
- https://doi.org//10.3389/fneur.2018.00363
- https://doi.org//10.1016/j.neubiorev.2016.03.026
- https://doi.org//10.1038/srep28712
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