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Semantic clustering and sleep in patients with amnestic mild cognitive impairment or with vascular cognitive impairment-no dementia

Published online by Cambridge University Press:  12 May 2016

Qingna Sun
Affiliation:
Department of Neurology, Key Laboratory of Post-traumatic Neuro-repair and Regeneration in the Central Nervous System, Ministry of Education, Tianjin Key Laboratory of Injuries, Variations and Regeneration of the Nervous System, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
Lanlan Luo
Affiliation:
Department of Neurology, Key Laboratory of Post-traumatic Neuro-repair and Regeneration in the Central Nervous System, Ministry of Education, Tianjin Key Laboratory of Injuries, Variations and Regeneration of the Nervous System, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
Honglei Ren
Affiliation:
Department of Neurology, Key Laboratory of Post-traumatic Neuro-repair and Regeneration in the Central Nervous System, Ministry of Education, Tianjin Key Laboratory of Injuries, Variations and Regeneration of the Nervous System, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
Changjuan Wei
Affiliation:
Department of Neurology, Key Laboratory of Post-traumatic Neuro-repair and Regeneration in the Central Nervous System, Ministry of Education, Tianjin Key Laboratory of Injuries, Variations and Regeneration of the Nervous System, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
Mengya Xing
Affiliation:
Department of Neurology, Key Laboratory of Post-traumatic Neuro-repair and Regeneration in the Central Nervous System, Ministry of Education, Tianjin Key Laboratory of Injuries, Variations and Regeneration of the Nervous System, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
Yan Cheng
Affiliation:
Department of Neurology, Key Laboratory of Post-traumatic Neuro-repair and Regeneration in the Central Nervous System, Ministry of Education, Tianjin Key Laboratory of Injuries, Variations and Regeneration of the Nervous System, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
Nan Zhang*
Affiliation:
Department of Neurology, Key Laboratory of Post-traumatic Neuro-repair and Regeneration in the Central Nervous System, Ministry of Education, Tianjin Key Laboratory of Injuries, Variations and Regeneration of the Nervous System, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
*
Correspondence should be addressed to: Nan Zhang, MD, PhD, Department of Neurology, Tianjin Medical University General Hospital, 154, Anshan Road, Tianjin 300052, China. Phone: +8622 60814622; Fax: +8622 60817471. Email: [email protected].
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Abstract

Background:

Cognition and sleep deficits occur in amnestic mild cognitive impairment (aMCI) and vascular cognitive impairment-no dementia (VCIND). However, how memory and sleep deficits differ between aMCI and VCIND remains unclear.

Methods:

Fifty aMCI and 50 VCIND patients and 38 sex- and age-matched healthy controls (HCs) were administered the Hopkins Verbal Learning Test-Revised (HVLT-R), Trail Making Test-A/B (TMT-A/B), Wisconsin Card Sorting Test (WCST), Paced Auditory Serial Addition Test (PASAT), Symbol Digit Modalities Test (SDMT), Benton Judgment of Line Orientation (JLO) test, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Insomnia Severity Index (ISI) to quantify cognitive deficits and subjective sleep disturbance.

Results:

Compared with VCIND patients, aMCI patients had lower HVLT-R scores for total recall (p < 0.001), delayed recall (p < 0.001) and recognition (p = 0.001), and for total-recall (p = 0.002) and delayed-recall (p < 0.001) semantic clustering ratios (SCRs). However, VCIND patients exhibited more obvious executive dysfunction (TMT-A, p < 0.001; TMT-B, p < 0.001; WCST, p < 0.001), lower information processing speed (PASAT, p = 0.003; SDMT, p < 0.001), and more severe sleep disturbance (PSQI, p < 0.001; ESS, p < 0.001; ISI, p < 0.001). Additionally, sleep quality and efficiency were related to total and delayed recall (all r values from −0.31 to −0.60, p < 0.05) in aMCI and VCIND.

Conclusions:

aMCI and VCIND differ in cognitive function, memory strategy and sleep impairment; these characteristics are helpful to identify and distinguish patients with very early cognitive impairment. Our results also suggest that memory deficits are associated with sleep disturbance in aMCI and VCIND.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2016 

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References

Baddeley, A. D. (2001). Is working memory still working?. The American Psychologist, 56, 851864.CrossRefGoogle ScholarPubMed
Bassetti, C. L. and Hermann, D. M. (2011). Sleep and stroke. Handbook of Clinical Neurology, 99, 10511072.Google Scholar
Bastien, C. H., Vallieres, A. and Morin, C. M. (2001). Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Medicine, 2, 297307.Google Scholar
Benton, A. L. (1994). Neuropsychological assessment. Annual Review of Psychology, 45, 123.Google Scholar
Berg, L. (1988). Clinical dementia rating (CDR). Psychopharmacology Bulletin, 24, 637639.Google ScholarPubMed
Chee, M. W. and Chuah, L. Y. (2008). Functional neuroimaging insights into how sleep and sleep deprivation affect memory and cognition. Current Opinion in Neurology, 21, 417423.Google Scholar
Cheng, C. Y., Tsai, C. F., Wang, S. J., Hsu, C. Y. and Fuh, J. L. (2013). Sleep disturbance correlates with white matter hyperintensity in patients with subcortical ischemic vascular dementia. Journal of Geriatrics Psychiatry and Neurology, 26, 158164.Google Scholar
Cho, Y. W., Lee, J. H., Son, H. K., Lee, S. H., Shin, C. and Johns, M. W. (2011). The reliability and validity of the Korean version of the Epworth sleepiness scale. Sleep & Breathing, 15, 377384.Google Scholar
Diekelmann, S. and Born, J. (2010). The memory function of sleep. Nature Reviews. Neuroscience, 11, 114126.Google Scholar
Frisoni, G. B., Galluzzi, S., Bresciani, L., Zanetti, O. and Geroldi, C. (2002). Mild cognitive impairment with subcortical vascular features: clinical characteristics and outcome. Journal of Neurology, 249, 14231432.Google Scholar
Fuh, J. L., Wang, S. J. and Cummings, J. L. (2005). Neuropsychiatric profiles in patients with Alzheimer's disease and vascular dementia. Journal of Neurology, Neurosurgery, and Psychiatry, 76, 13371341.Google Scholar
Gaines, J. J., Shapiro, A., Alt, M. and Benedict, R. H. (2006). Semantic clustering indexes for the Hopkins verbal learning test-revised: initial exploration in elder control and dementia groups. Applied Neuropsychology, 13, 213222.Google Scholar
Gronwall, D. M. (1977). Paced auditory serial-addition task: a measure of recovery from concussion. Perceptual and Motor Skills, 44, 367373.CrossRefGoogle ScholarPubMed
Grothe, M. et al. (2010). Reduction of basal forebrain cholinergic system parallels cognitive impairment in patients at high risk of developing Alzheimer's disease. Cerebral Cortex, 20, 16851695.CrossRefGoogle ScholarPubMed
Hachinski, V. et al. (2006). National institute of neurological disorders and stroke-Canadian stroke network vascular cognitive impairment harmonization standards. Stroke, 37, 22202241.Google Scholar
Hirshkowitz, M. (2004). Normal human sleep: an overview. The Medical Clinics of North America, 88, 551565, vii.Google Scholar
Hita-Yanez, E., Atienza, M. and Cantero, J. L. (2013). Polysomnographic and subjective sleep markers of mild cognitive impairment. Sleep, 36, 13271334.Google Scholar
Ingles, J. L., Wentzel, C., Fisk, J. D. and Rockwood, K. (2002). Neuropsychological predictors of incident dementia in patients with vascular cognitive impairment, without dementia. Stroke, 33, 19992002.CrossRefGoogle ScholarPubMed
Jiang, B. et al. (2013). Polysomnographic abnormalities in patients with vascular cognitive impairment-no dementia. Sleep Medicine, 14, 10711075.Google Scholar
Joo, B. E. et al. (2011). Prevalence of sleep-disordered breathing in acute ischemic stroke as determined using a portable sleep apnea monitoring device in Korean subjects. Sleep & Breathing, 15, 7782.Google Scholar
Kloepfer, C. et al. (2009). Memory before and after sleep in patients with moderate obstructive sleep apnea. Journal of Clinical Sleep Medicine, 5, 540548.Google Scholar
Lawton, M. P. and Brody, E. M. (1969). Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist, 9, 179186.Google Scholar
Malek-Ahmadi, M., Raj, A. and Small, B. J. (2011). Semantic clustering as a neuropsychological predictor for amnestic-MCI. Neuropsychology, Development, and Cognition. Section B, Aging, Neuropsychology and Cognition, 18, 280292.Google Scholar
Marra, C., Ferraccioli, M., Vita, M. G., Quaranta, D. and Gainotti, G. (2011). Patterns of cognitive decline and rates of conversion to dementia in patients with degenerative and vascular forms of MCI. Current Alzheimer Research, 8, 2431.CrossRefGoogle ScholarPubMed
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D. and Stadlan, E. M. (1984). Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA work group under the auspices of department of health and human services task force on Alzheimer's disease. Neurology, 34, 939944.Google Scholar
McLaughlin, P. M. et al. (2014). The “Alzheimer's type” profile of semantic clustering in amnestic mild cognitive impairment. Journal of the International Neuropsychological Society, 20, 402412.Google Scholar
Meyer, J. S., Xu, G., Thornby, J., Chowdhury, M. H. and Quach, M. (2002). Is mild cognitive impairment prodromal for vascular dementia like Alzheimer's disease?. Stroke, 33, 19811985.Google Scholar
Mok, V. C. et al. (2004). The validity and reliability of chinese frontal assessment battery in evaluating executive dysfunction among Chinese patients with small subcortical infarct. Alzheimer Disease and Associated Disorders, 18, 68v74.Google Scholar
Nordlund, A., Rolstad, S., Klang, O., Lind, K., Hansen, S. and Wallin, A. (2007). Cognitive profiles of mild cognitive impairment with and without vascular disease. Neuropsychology, 21, 706712.CrossRefGoogle ScholarPubMed
O'Brien, J. T. et al. (2003). Vascular cognitive impairment. The Lancet Neurology, 2, 8998.Google Scholar
Petersen, R. C. et al. (2001). Current concepts in mild cognitive impairment. Archives of Neurology, 58, 19851992.Google Scholar
Porkka-Heiskanen, T., Zitting, K. M. and Wigren, H. K. (2013). Sleep, its regulation and possible mechanisms of sleep disturbances. Acta Physiologica, 208, 311328.Google Scholar
Price, S. E. et al. (2010). Learning and memory in amnestic mild cognitive impairment: contribution of working memory. Journal of the International Neuropsychological Society, 16, 342351.Google Scholar
Ribeiro, F., Guerreiro, M. and De Mendonca, A. (2007). Verbal learning and memory deficits in mild cognitive impairment. Journal of Clinical and Experimental Neuropsychology, 29, 187197.Google Scholar
Rossini, E. D. and Karl, M. A. (1994). The trail making test A and B: a technical note on structural nonequivalence. Perceptual and Motor Skills, 78, 625626.Google Scholar
Schwartz, J. R. and Roth, T. (2008). Neurophysiology of sleep and wakefulness: basic science and clinical implications. Current Neuropharmacology, 6, 367378.Google Scholar
Shi, J., Tian, J., Wei, M., Miao, Y. and Wang, Y. (2012). The utility of the Hopkins verbal learning test (Chinese version) for screening dementia and mild cognitive impairment in a Chinese population. BMC Neurology, 12, 136.Google Scholar
Smith, A. (1982). Symbol Digit Modalities Test. Los Angeles, CA: Western Psychological Services.Google Scholar
Sohn, S. I., Kim do, H., Lee, M. Y. and Cho, Y. W. (2012). The reliability and validity of the Korean version of the pittsburgh sleep quality index. Sleep & Breathing, 16, 803812.Google Scholar
Takeuchi, M. et al. (2014). Does sleep improve memory organization?. Frontiers in Behavioral Neuroscience, 8, 65.Google Scholar
Vasquez, B. P. and Zakzanis, K. K. (2015). The neuropsychological profile of vascular cognitive impairment not demented: a meta-analysis. Journal of Neuropsychology, 9, 109136.CrossRefGoogle Scholar
Villeneuve, S., Massoud, F., Bocti, C., Gauthier, S. and Belleville, S. (2011). The nature of episodic memory deficits in MCI with and without vascular burden. Neuropsychologia, 49, 30273035.Google Scholar
Westerberg, C. E. et al. (2010). Sleep influences the severity of memory disruption in amnestic mild cognitive impairment: results from sleep self-assessment and continuous activity monitoring. Alzheimer Disease and Associated Disorders, 24, 325333.Google Scholar
Westerberg, C. E. et al. (2012). Concurrent impairments in sleep and memory in amnestic mild cognitive impairment. Journal of the International Neuropsychological Society, 18, 490500.Google Scholar
Winblad, B. et al. (2004). Mild cognitive impairment – beyond controversies, towards a consensus: report of the international working group on mild cognitive impairment. Journal of Internal Medicine, 256, 240246.Google Scholar
Yu, J., Li, J. and Huang, X. (2012). The Beijing version of the montreal cognitive assessment as a brief screening tool for mild cognitive impairment: a community-based study. BMC Psychiatry, 12, 156.Google Scholar
Zanetti, M., Ballabio, C., Abbate, C., Cutaia, C., Vergani, C. and Bergamaschini, L. (2006). Mild cognitive impairment subtypes and vascular dementia in community-dwelling elderly people: a 3-year follow-up study. Journal of the American Geriatrics Society, 54, 580586.Google Scholar
Zheng, Y. P. and Lin, K. M. (1991). Comparison of the Chinese depression inventory and the Chinese version of the beck depression inventory. Acta Psychiatrica Scandinavica, 84, 531536.Google Scholar