[en] OBJECTIVE: Although aging is associated with alterations of both activity/rest cycle and brain structure, few studies have evaluated associations between these processes. The aim of this study was to examine relationship between activity/rest cycle quality and brain structural integrity in aging subjects by exploring both grey and white matter compartments. MATERIAL AND METHODS: Fifty-eight elderly subjects (76±0.5 years; 41% female) without dementia, sleep disorders and medications were included in the analysis. Actigraphy was used to measure parameters of activity/rest cycle (24-h amplitude, 24-h fragmentation and 24-h stability) and sleep (total sleep time and sleep fragmentation) over a minimal period of 5 days. Whole brain linear regression analyses were performed on grey matter volumes maps using voxel based morphometry and on white matter integrity using tract based statistics analyses. RESULTS: A lower 24-h amplitude and a higher sleep fragmentation were independently associated with a reduction of white matter integrity in models including age and gender as covariates. The association between 24-h amplitude and white matter integrity decreased but remained significant in a model accounted for sleep fragmentation, indicating a specific effect of 24-h cycle disturbances. No association with grey matter volumes was observed. CONCLUSION: In elderly, not only sleep but also 24-h cycle disturbances were associated with altered structural connectivity. This alteration of structural backbone networks related to activity/rest cycle disturbances in aging might constitute a cerebral frailty factor for the development of cognitive impairment.
Disciplines :
Neurosciences & behavior
Author, co-author :
Baillet, Marion ; Université de Liège - ULiège > GIGA CRC In vivo Imaging
Dilharreguy, Bixente
Pérès, Karine
Dartigues, Jean-François
Mayo, Willy
Catheline, Gwenaëlle
Language :
English
Title :
Activity/rest cycle and disturbances of structural backbone of cerebral networks in aging.
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Bibliography
Altena, E., Vrenken, H., Van Der Werf, Y.D., van den Heuvel, O.A., Van Someren, E.J.W., Reduced orbitofrontal and parietal gray matter in chronic insomnia: a voxel-based morphometric study. Biol. Psychiatry 67 (2010), 182–185, 10.1016/j.biopsych.2009.08.003.
Alvaro, P.K., Roberts, R.M., Harris, J.K., A systematic review assessing bidirectionality between sleep disturbances, anxiety, and depression. Sleep 36 (2013), 1059–1068, 10.5665/sleep.2810.
Branger, P., Arenaza-Urquijo, E.M., Tomadesso, C., Mézenge, F., André, C., Flores, R., de, Mutlu, J., Sayette, V., de, L., Eustache, F., Chételat, G., Rauchs, G., Relationships between sleep quality and brain volume, metabolism, and amyloid deposition in late adulthood. Neurobiol. Aging 41 (2016), 107–114, 10.1016/j.neurobiolaging.2016.02.009.
Buysse, D.J., Hall, M.L., Strollo, P.J., Kamarck, T.W., Owens, J., Lee, L., Reis, S.E., Matthews, K.A., Relationships between the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and clinical/polysomnographic measures in a community sample. J. Clin. Sleep. Med. JCSM Publ. Am. Acad. Sleep. Med. 4 (2008), 563–571.
Buysse, D.J., Reynolds, C.F., Monk, T.H., Berman, S.R., Kupfer, D.J., The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res 28 (1989), 193–213.
Buysse, D.J., Reynolds, C.F., Monk, T.H., Hoch, C.C., Yeager, A.L., Kupfer, D.J., Quantification of subjective sleep quality in healthy elderly men and women using the Pittsburgh Sleep Quality Index (PSQI). Sleep 14 (1991), 331–338.
Dawson, J., Boyle, J., Stanley, N., Johnsen, S., Hindmarch, I., Skene, D.J., Benzodiazepine-induced reduction in activity mirrors decrements in cognitive and psychomotor performance. Hum. Psychopharmacol. 23 (2008), 605–613, 10.1002/hup.961.
de Groot, M., Vernooij, M.W., Klein, S., Ikram, M.A., Vos, F.M., Smith, S.M., Niessen, W.J., Andersson, J.L.R., Improving alignment in Tract-based spatial statistics: evaluation and optimization of image registration. NeuroImage 76 (2013), 400–411, 10.1016/j.neuroimage.2013.03.015.
Folstein, M.F., Folstein, S.E., McHugh, P.R., “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J. Psychiatry Res. 12 (1975), 189–198.
Grandner, M.A., Kripke, D.F., Yoon, I.-Y., Youngstedt, S.D., Criterion validity of the Pittsburgh Sleep Quality Index: investigation in a non-clinical sample. Sleep. Biol. Rhythm. 4 (2006), 129–139, 10.1111/j.1479-8425.2006.00207.x.
Hatfield, C.F., Herbert, J., van Someren, E.J.W., Hodges, J.R., Hastings, M.H., Disrupted daily activity/rest cycles in relation to daily cortisol rhythms of home-dwelling patients with early Alzheimer's dementia. Brain. J. Neurol. 127 (2004), 1061–1074, 10.1093/brain/awh129.
Huang, Y.-L., Liu, R.-Y., Wang, Q.-S., Van Someren, E.J.W., Xu, H., Zhou, J.-N., Age-associated difference in circadian sleep-wake and rest-activity rhythms. Physiol. Behav. 76 (2002), 597–603.
Johns, M.W., A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep 14 (1991), 540–545.
Lacey, B., Golledge, J., Yeap, B.B., Lewington, S., Norman, P.E., Flicker, L., Almeida, O.P., Hankey, G.J., Physical activity and vascular disease in a prospective cohort study of older men: the Health In Men Study (HIMS). BMC Geriatr., 15, 2015, 164, 10.1186/s12877-015-0157-2.
Landry, G.J., Best, J.R., Liu-Ambrose, T., Measuring sleep quality in older adults: a comparison using subjective and objective methods. Front. Aging Neurosci., 7, 2015, 166, 10.3389/fnagi.2015.00166.
Lim, A.S.P., Fleischman, D.A., Dawe, R.J., Yu, L., Arfanakis, K., Buchman, A.S., Bennett, D.A., Regional neocortical gray matter structure and sleep fragmentation in older adults. Sleep 39 (2016), 227–235, 10.5665/sleep.5354.
Lim, A.S.P., Kowgier, M., Yu, L., Buchman, A.S., Bennett, D.A., Sleep fragmentation and the risk of incident alzheimer's disease and cognitive decline in older persons. Sleep 36 (2013), 1027–1032, 10.5665/sleep.2802.
Lim, A.S.P., Yu, L., Costa, M.D., Leurgans, S.E., Buchman, A.S., Bennett, D.A., Saper, C.B., Increased fragmentation of rest-activity patterns is associated with a characteristic pattern of cognitive impairment in older individuals. Sleep 35 (2012), 633–640B, 10.5665/sleep.1820.
Luik, A.I., Zuurbier, L.A., Hofman, A., Van Someren, E.J.W., Ikram, M.A., Tiemeier, H., Associations of the 24-h activity rhythm and sleep with cognition: a population-based study of middle-aged and elderly persons. Sleep. Med. 16 (2015), 850–855, 10.1016/j.sleep.2015.03.012.
Luik, A.I., Zuurbier, L.A., Hofman, A., Van Someren, E.J.W., Tiemeier, H., Stability and fragmentation of the activity rhythm across the sleep-wake cycle: the importance of age, lifestyle, and mental health. Chronobiol. Int. 30 (2013), 1223–1230, 10.3109/07420528.2013.813528.
Maillard, P., Carmichael, O., Harvey, D., Fletcher, E., Reed, B., Mungas, D., DeCarli, C., FLAIR and diffusion MRI signals are independent predictors of white matter hyperintensities. AJNR Am. J. Neuroradiol. 34 (2013), 54–61, 10.3174/ajnr.A3146.
Nelson, M., Rejeski, W., Blair, S., Duncan, P., Judge, J., King, A., Macera, C., Castaneda-Sceppa, C., Physical activity and public health in older adults: recommendation from the American college of sports medicine and the American Heart Association. Circulation 116 (2007), 1094–1105.
Oosterman, J., van Harten, B., Vogels, R., Gouw, A., Weinstein, H., Scheltens, P., Scherder, E., Distortions in rest-activity rhythm in aging relate to white matter hyperintensities. Neurobiol. Aging 29 (2008), 1265–1271, 10.1016/j.neurobiolaging.2007.02.014.
Oosterman, J.M., van Someren, E.J.W., Vogels, R.L.C., Van Harten, B., Scherder, E.J.A., Fragmentation of the rest-activity rhythm correlates with age-related cognitive deficits. J. Sleep. Res. 18 (2009), 129–135, 10.1111/j.1365-2869.2008.00704.x.
Pelletier, A., Periot, O., Dilharreguy, B., Hiba, B., Bordessoules, M., Chanraud, S., Pérès, K., Amieva, H., Dartigues, J.-F., Allard, M., Catheline, G., Age-related modifications of diffusion tensor imaging parameters and white matter hyperintensities as inter-dependent processes. Front. Aging Neurosci., 7, 2015, 255, 10.3389/fnagi.2015.00255.
Pérès, K., Matharan, F., Allard, M., Amieva, H., Baldi, I., Barberger-Gateau, P., Bergua, V., Bourdel-Marchasson, I., Delcourt, C., Foubert-Samier, A., Fourrier-Réglat, A., Gaimard, M., Laberon, S., Maubaret, C., Postal, V., Chantal, C., Rainfray, M., Rascle, N., Dartigues, J.-F., Health and aging in elderly farmers: the AMI cohort. BMC Public Health, 12, 2012, 558, 10.1186/1471-2458-12-558.
Radloff, L.S., The CES-D scale a self-report depression scale for research in the general population. Appl. Psychol. Meas. 1 (1977), 385–401, 10.1177/014662167700100306.
Sadeh, A., The role and validity of actigraphy in sleep medicine: an update. Sleep. Med. Rev. 15 (2011), 259–267, 10.1016/j.smrv.2010.10.001.
Sadeh, A., Hauri, P.J., Kripke, D.F., Lavie, P., The role of actigraphy in the evaluation of sleep disorders. Sleep 18 (1995), 288–302.
Schmidt, P., Gaser, C., Arsic, M., Buck, D., Förschler, A., Berthele, A., Hoshi, M., Ilg, R., Schmid, V.J., Zimmer, C., Hemmer, B., Mühlau, M., An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis. NeuroImage 59 (2012), 3774–3783, 10.1016/j.neuroimage.2011.11.032.
Sexton, C.E., Storsve, A.B., Walhovd, K.B., Johansen-Berg, H., Fjell, A.M., Poor sleep quality is associated with increased cortical atrophy in community-dwelling adults. Neurology 83 (2014), 967–973, 10.1212/WNL.0000000000000774.
Song, S.-K., Sun, S.-W., Ramsbottom, M.J., Chang, C., Russell, J., Cross, A.H., Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. NeuroImage 17 (2002), 1429–1436.
Sullivan, E.V., Pfefferbaum, A., 2006. Diffusion tensor imaging and aging. Neurosci. Biobehav. Rev., Methodological and Conceptual Advances in the Study of Brain-Behavior Dynamics: A Multivariate Lifespan Perspective 30, pp. 749–761. doi:10.1016/j.neubiorev.2006.06.002.
Torelli, F., Moscufo, N., Garreffa, G., Placidi, F., Romigi, A., Zannino, S., Bozzali, M., Fasano, F., Giulietti, G., Djonlagic, I., Malhotra, A., Marciani, M.G., Guttmann, C.R., Cognitive profile and brain morphological changes in obstructive sleep apnea. NeuroImage 54 (2011), 787–793, 10.1016/j.neuroimage.2010.09.065.
Tranah, G.J., Blackwell, T., Stone, K.L., Ancoli-Israel, S., Paudel, M.L., Ensrud, K.E., Cauley, J.A., Redline, S., Hillier, T.A., Cummings, S.R., Yaffe, K., Research Group, S.O.F., Circadian activity rhythms and risk of incident dementia and mild cognitive impairment in older women. Ann. Neurol. 70 (2011), 722–732, 10.1002/ana.22468.
Tseng, B.Y., Gundapuneedi, T., Khan, M.A., Diaz-Arrastia, R., Levine, B.D., Lu, H., Huang, H., Zhang, R., White matter integrity in physically fit older adults. NeuroImage 0 (2013), 510–516, 10.1016/j.neuroimage.2013.06.011.
van Someren, E.J., Mirmiran, M., Swaab, D.F., Non-pharmacological treatment of sleep and wake disturbances in aging and Alzheimer's disease: chronobiological perspectives. Behav. Brain Res. 57 (1993), 235–253.
Van Someren, E.J., Swaab, D.F., Colenda, C.C., Cohen, W., McCall, W.V., Rosenquist, P.B., Bright light therapy: improved sensitivity to its effects on rest-activity rhythms in Alzheimer patients by application of nonparametric methods. Chronobiol. Int. 16 (1999), 505–518.
Walsh, C.M., Blackwell, T., Tranah, G.J., Stone, K.L., Ancoli-Israel, S., Redline, S., Paudel, M., Kramer, J.H., Yaffe, K., Weaker circadian activity rhythms are associated with poorer executive function in older women. Sleep 37 (2014), 2009–2016, 10.5665/sleep.4260.
Wheeler-Kingshott, C.A.M., Cercignani, M., About “axial” and “radial” diffusivities. Magn. Reson. Med. 61 (2009), 1255–1260, 10.1002/mrm.21965.
Wulff, K., Gatti, S., Wettstein, J.G., Foster, R.G., Sleep and circadian rhythm disruption in psychiatric and neurodegenerative disease. Nat. Rev. Neurosci. 11 (2010), 589–599, 10.1038/nrn2868.
Youngstedt, S.D., Effects of exercise on sleep. Clin. Sport. Med. Sport. Chrono-: Time 24 (2005), 355–365, 10.1016/j.csm.2004.12.003.
Zalesky, A., Moderating registration misalignment in voxelwise comparisons of DTI data: a performance evaluation of skeleton projection. Magn. Reson. Imaging 29 (2011), 111–125, 10.1016/j.mri.2010.06.027.
Zuurbier, L.A., Ikram, M.A., Luik, A.I., Hofman, A., Van Someren, E.J.W., Vernooij, M.W., Tiemeier, H., Cerebral small vessel disease is related to disturbed 24-h activity rhythms: a population-based study. Eur. J. Neurol. 22 (2015), 1482–1487, 10.1111/ene.12775.
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