References
- Veasey SC, Rosen IM, Solomon CG. Obstructive sleep apnea in adults. N Engl J Med. 2019;380(15):1442–1449. doi:10.1056/NEJMcp1816152
- Peppard PE, Young T, Barnet JH, Palta M, Hagen EW, Hla KM. Increased prevalence of sleep-disordered breathing in adults. Am J Epidemiol. 2013;177(9):1006–1014. doi:10.1093/aje/kws342
- Gottlieb DJ, Ellenbogen JM, Bianchi MT, Czeisler CA. Sleep deficiency and motor vehicle crash risk in the general population: a prospective cohort study. BMC Med. 2018;16(1):44. doi:10.1186/s12916-018-1025-7
- Olaithe M, Bucks RS, Hillman DR, Eastwood PR. Cognitive deficits in obstructive sleep apnea: insights from a meta-review and comparison with deficits observed in COPD, insomnia, and sleep deprivation. Sleep Med Rev. 2018;38:39–49. doi:10.1016/j.smrv.2017.03.005
- Kerner NA, Roose SP. Obstructive sleep apnea is linked to depression and cognitive impairment: evidence and potential mechanisms. Am J Geriatr Psychiatry. 2016;24(6):496–508. doi:10.1016/j.jagp.2016.01.134
- Vanek J, Prasko J, Genzor S, et al. Obstructive sleep apnea, depression and cognitive impairment. Sleep Med. 2020;72:50–58. doi:10.1016/j.sleep.2020.03.017
- Liu Y, Han J, Ning L, et al. Cognitive function and life quality of patients with moderate-to-severe obstructive sleep apnea-hypopnea syndrome in China. Expert Rev Respir Med. 2021;15(3):435–440. doi:10.1080/17476348.2021.1852081
- Seda G, Matwiyoff G, Parrish JS. Effects of obstructive sleep apnea and CPAP on cognitive function. Curr Neurol Neurosci Rep. 2021;21(7):32. doi:10.1007/s11910-021-01123-0
- Petersen RC, Caracciolo B, Brayne C, Gauthier S, Jelic V, Fratiglioni L. Mild cognitive impairment: a concept in evolution. J Intern Med. 2014;275(3):214–228. doi:10.1111/joim.12190
- Pagani M, Nobili F, Morbelli S, et al. Early identification of MCI converting to AD: a FDG PET study. Eur J Nucl Med Mol Imaging. 2017;44(12):2042–2052. doi:10.1007/s00259-017-3761-x
- Lim DC, Pack AI. Obstructive sleep apnea and cognitive impairment: addressing the blood-brain barrier. Sleep Med Rev. 2014;18(1):35–48. doi:10.1016/j.smrv.2012.12.003
- Kerner NA, Roose SP, Pelton GH, et al. Association of obstructive sleep apnea with episodic memory and cerebral microvascular pathology: a preliminary study. Am J Geriatr Psychiatry. 2017;25(3):316–325. doi:10.1016/j.jagp.2016.11.009
- Koo DL, Kim HR, Kim H, Seong JK, Joo EY. White matter tract-specific alterations in male patients with untreated obstructive sleep apnea are associated with worse cognitive function. Sleep. 2020;43(3):zsz247. doi:10.1093/sleep/zsz247
- Smitha KA, Akhil Raja K, Arun KM, et al. Resting state fMRI: a review on methods in resting state connectivity analysis and resting state networks. Neuroradiol J. 2017;30(4):305–317. doi:10.1177/1971400917697342
- Saarinen AIL, Huhtaniska S, Pudas J, et al. Structural and functional alterations in the brain gray matter among first-degree relatives of schizophrenia patients: a multimodal meta-analysis of fMRI and VBM studies. Schizophr Res. 2020;216:14–23. doi:10.1016/j.schres.2019.12.023
- Chandra A, Dervenoulas G, Politis M. Alzheimer’s Disease Neuroimaging Initiative. Magnetic resonance imaging in Alzheimer’s disease and mild cognitive impairment. J Neurol. 2019;266(6):1293–1302. doi:10.1007/s00415-018-9016-3
- Song X, Roy B, Kang DW, et al. Altered resting-state hippocampal and caudate functional networks in patients with obstructive sleep apnea. Brain Behav. 2018;8(6):e00994. doi:10.1002/brb3.994
- Zhou L, Liu G, Luo H, et al. Aberrant hippocampal network connectivity is associated with neurocognitive dysfunction in patients with moderate and severe obstructive sleep apnea. Front Neurol. 2020;11:580408. doi:10.3389/fneur.2020.580408
- Peng DC, Dai XJ, Gong HH, Li HJ, Nie X, Zhang W. Altered intrinsic regional brain activity in male patients with severe obstructive sleep apnea: a resting-state functional magnetic resonance imaging study. Neuropsychiatr Dis Treat. 2014;10:1819–1826. doi:10.2147/NDT.S67805
- Li H, Li L, Kong L, et al. Frequency‑specific regional homogeneity alterations and cognitive function in obstructive sleep apnea before and after short-term continuous positive airway pressure treatment. Nat Sci Sleep. 2021;13:2221–2238. doi:10.2147/NSS.S344842
- Jia XZ, Sun JW, Ji GJ, et al. Percent amplitude of fluctuation: a simple measure for resting-state fMRI signal at single voxel level. PLoS One. 2020;15(1):e0227021. doi:10.1371/journal.pone.0227021
- Zhao N, Yuan LX, Jia XZ, et al. Intra- and inter-scanner reliability of voxel-wise whole-brain analytic metrics for resting state fMRI. Front Neuroinform. 2018;12:54. doi:10.3389/fninf.2018.00054
- Yang YC, Li QY, Chen MJ, et al. Investigation of changes in retinal detachment-related brain region activities and functions using the percent amplitude of fluctuation method: a resting-state functional magnetic resonance imaging study. Neuropsychiatr Dis Treat. 2021;17:251–260. doi:10.2147/NDT.S292132
- Li CQ, Ge QM, Shu HY, et al. Investigation of altered spontaneous brain activities in patients with moyamoya disease using percent amplitude of fluctuation method: a resting-state functional MRI study. Front Neurol. 2021;12:801029. doi:10.3389/fneur.2021.801029
- Li Y, Li M, Feng Y, et al. Aberrant brain spontaneous activity and synchronization in Type 2 diabetes mellitus subjects without mild cognitive impairment. Front Neurosci. 2021;15:749730. doi:10.3389/fnins.2021.749730
- Zheng X, Sun J, Lv Y, et al. Frequency-specific alterations of the resting-state BOLD signals in nocturnal enuresis: an fMRI Study. Sci Rep. 2021;11(1):12042. doi:10.1038/s41598-021-90546-3
- Kapur VK, Auckley DH, Chowdhuri S, et al. Clinical practice guideline for diagnostic testing for adult obstructive sleep apnea: an American academy of sleep medicine clinical practice guideline. J Clin Sleep Med. 2017;13(3):479–504. doi:10.5664/jcsm.6506
- Berry RB, Brooks R, Gamaldo C, et al. AASM scoring manual updates for 2017 (Version 2.4). J Clin Sleep Med. 2017;13(5):665–666. doi:10.5664/jcsm.6576
- Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep. 1991;14(6):540–545. doi:10.1093/sleep/14.6.540
- Chen KL, Xu Y, Chu AQ, et al. Validation of the Chinese version of Montreal cognitive assessment basic for screening mild cognitive impairment. J Am Geriatr Soc. 2016;64(12):e285–e290. doi:10.1111/jgs.14530
- Nasreddine ZS, Phillips NA, Bédirian V, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695–699. doi:10.1111/j.1532-5415.2005.53221.x
- Pirzada S, Uddin MN, Figley TD, et al. Spatial normalization of multiple sclerosis brain MRI data depends on analysis method and software package. Magn Reson Imaging. 2020;68:83–94. doi:10.1016/j.mri.2020.01.016
- Friston KJ, Williams S, Howard R, Frackowiak RS, Turner R. Movement-related effects in fMRI time-series. Magn Reson Med. 1996;35(3):346–355. doi:10.1002/mrm.1910350312
- Satterthwaite TD, Elliott MA, Gerraty RT, et al. An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data. Neuroimage. 2013;64:240–256. doi:10.1016/j.neuroimage.2012.08.052
- Saad ZS, Gotts SJ, Murphy K, et al. Trouble at rest: how correlation patterns and group differences become distorted after global signal regression. Brain Connect. 2012;2(1):25–32. doi:10.1089/brain.2012.0080
- Li Y, Tao L, Chen H, et al. Identifying depressed essential tremor using resting-state voxel-wise global brain connectivity: a multivariate pattern analysis. Front Hum Neurosci. 2021;15:736155. doi:10.3389/fnhum.2021.736155
- Hu X, Liu Q, Li B, et al. Multivariate pattern analysis of obsessive-compulsive disorder using structural neuroanatomy. Eur Neuropsychopharmacol. 2016;26(2):246–254. doi:10.1016/j.euroneuro.2015.12.014
- Drager LF, Togeiro SM, Polotsky VY, Lorenzi-Filho G. Obstructive sleep apnea: a cardiometabolic risk in obesity and the metabolic syndrome. J Am Coll Cardiol. 2013;62(7):569–576. doi:10.1016/j.jacc.2013.05.045
- Zhang Q, Wang D, Qin W, et al. Altered resting-state brain activity in obstructive sleep apnea. Sleep. 2013;36(5):651–659B. doi:10.5665/sleep.2620
- Bucks RS, Olaithe M, Rosenzweig I, Morrell MJ. Reviewing the relationship between OSA and cognition: where do we go from here? Respirology. 2017;22(7):1253–1261. doi:10.1111/resp.13140
- Briggs RG, Khan AB, Chakraborty AR, et al. Anatomy and white matter connections of the superior frontal gyrus. Clin Anat. 2020;33(6):823–832. doi:10.1002/ca.23523
- Niendam TA, Laird AR, Ray KL, Dean YM, Glahn DC, Carter CS. Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive functions. Cogn Affect Behav Neurosci. 2012;12(2):241–268. doi:10.3758/s13415-011-0083-5
- Andrews-Hanna JR. The brain’s default network and its adaptive role in internal mentation. Neuroscientist. 2012;18(3):251–270. doi:10.1177/1073858411403316
- Andrews-Hanna JR, Reidler JS, Sepulcre J, Poulin R, Buckner RL. Functional-anatomic fractionation of the brain’s default network. Neuron. 2010;65(4):550–562. doi:10.1016/j.neuron.2010.02.005
- Khazaie H, Veronese M, Noori K, et al. Functional reorganization in obstructive sleep apnoea and insomnia: a systematic review of the resting-state fMRI. Neurosci Biobehav Rev. 2017;77:219–231. doi:10.1016/j.neubiorev.2017.03.013
- Zhou L, Shan X, Peng Y, et al. Reduced regional homogeneity and neurocognitive impairment in patients with moderate-to-severe obstructive sleep apnea. Sleep Med. 2020;75:418–427. doi:10.1016/j.sleep.2020.09.009
- Huang X, Tang S, Lyu X, Yang C, Chen X. Structural and functional brain alterations in obstructive sleep apnea: a multimodal meta-analysis. Sleep Med. 2019;54:195–204. doi:10.1016/j.sleep.2018.09.025
- Burks JD, Conner AK, Bonney PA, et al. Anatomy and white matter connections of the orbitofrontal gyrus. J Neurosurg. 2018;128(6):1865–1872. doi:10.3171/2017.3.JNS162070
- Shi Y, Chen L, Chen T, et al. A meta-analysis of voxel-based brain morphometry studies in obstructive sleep apnea. Sci Rep. 2017;7(1):10095. doi:10.1038/s41598-017-09319-6
- Briggs RG, Lin YH, Dadario NB, et al. Anatomy and white matter connections of the middle frontal gyrus. World Neurosurg. 2021;150:e520–e529. doi:10.1016/j.wneu.2021.03.045
- Japee S, Holiday K, Satyshur MD, Mukai I, Ungerleider LG. A role of right middle frontal gyrus in reorienting of attention: a case study. Front Syst Neurosci. 2015;9:23. doi:10.3389/fnsys.2015.00023
- Bai J, Wen H, Tai J, et al. Altered spontaneous brain activity related to neurologic and sleep dysfunction in children with obstructive sleep apnea syndrome. Front Neurosci. 2021;15:595412. doi:10.3389/fnins.2021.595412
- Menon V, D’Esposito M. The role of PFC networks in cognitive control and executive function. Neuropsychopharmacology. 2022;47(1):90–103. doi:10.1038/s41386-021-01152-w
- Pu S, Nakagome K, Itakura M, Iwata M, Nagata I, Kaneko K. Association of fronto-temporal function with cognitive ability in schizophrenia. Sci Rep. 2017;7:42858. doi:10.1038/srep42858
- Wu Y, Zhao W, Chen X, Wan X, Lei X. Aberrant awake spontaneous brain activity in obstructive sleep apnea: a review focused on resting-state EEG and resting-state fMRI. Front Neurol. 2020;11:768. doi:10.3389/fneur.2020.00768
- Song B, Zhu JC, Narrative A. Review of Cerebellar Malfunctions and Sleep Disturbances. Front Neurosci. 2021;15:590619. doi:10.3389/fnins.2021.590619
- Park HR, Cha J, Joo EY, Kim H. Altered cerebrocerebellar functional connectivity in patients with obstructive sleep apnea and its association with cognitive function. Sleep. 2022;45(1):zsab209. doi:10.1093/sleep/zsab209
- Kong L, Li H, Shu Y, et al. Aberrant resting-state functional brain connectivity of insular subregions in obstructive sleep apnea. Front Neurosci. 2021;15:765775. doi:10.3389/fnins.2021.765775
- Mourão-Miranda J, Bokde ALW, Born C, Hampel H, Stetter M. Classifying brain states and determining the discriminating activation patterns: support Vector Machine on functional MRI data. Neuroimage. 2005;28(4):980–995. doi:10.1016/j.neuroimage.2005.06.070
- Rondina JM, Ferreira LK, de Souza Duran FL, et al. Selecting the most relevant brain regions to discriminate Alzheimer’s disease patients from healthy controls using multiple kernel learning: a comparison across functional and structural imaging modalities and atlases. Neuroimage Clin. 2018;17:628–641. doi:10.1016/j.nicl.2017.10.026
- Wang S, Zhang Y, Lv L, et al. Abnormal regional homogeneity as a potential imaging biomarker for adolescent-onset schizophrenia: a resting-state fMRI study and support vector machine analysis. Schizophr Res. 2018;192:179–184. doi:10.1016/j.schres.2017.05.038