R\u00f6nnlund, M., Nyberg, L., B\u00e4ckman, L. & Nilsson, L.-G. Stability, growth, and decline in adult life span development of declarative memory: cross-sectional and longitudinal data from a population-based study. Psychol. Aging 20, 3\u201318 (2005).<\/p>\n
Article<\/a>\u00a0 Chen, X. et al. Regional tau effects on prospective cognitive change in cognitively normal older adults. J. Neurosci. 41, 366\u2013375 (2021).<\/p>\n Article<\/a>\u00a0 Sch\u00f6ll, M. et al. Biomarkers for tau pathology. Mol. Cell. Neurosci. 97, 18\u201333 (2019).<\/p>\n Article<\/a>\u00a0 Mander, B. A. et al. \u03b2-amyloid disrupts human NREM slow waves and related hippocampus-dependent memory consolidation. Nat. Neurosci. 18, 1051\u20131057 (2015).<\/p>\n Article<\/a>\u00a0 Lucey, B. P. et al. Reduced non-rapid eye movement sleep is associated with tau pathology in early Alzheimer\u2019s disease. Sci. Transl. Med. 11, eaau6550 (2019).<\/p>\n Article<\/a>\u00a0 Massimini, M., Huber, R., Ferrarelli, F., Hill, S. & Tononi, G. The sleep slow oscillation as a traveling wave. J. Neurosci. 24, 6862\u20136870 (2004).<\/p>\n Article<\/a>\u00a0 Niethard, N., Ngo, H.-V. V., Ehrlich, I. & Born, J. Cortical circuit activity underlying sleep slow oscillations and spindles. Proc. Natl Acad. Sci. USA 115, E9220\u2013E9229 (2018).<\/p>\n Article<\/a>\u00a0 Nir, Y. et al. Regional slow waves and spindles in human sleep. Neuron 70, 153\u2013169 (2011).<\/p>\n Article<\/a>\u00a0 Murphy, M. et al. Source modeling sleep slow waves. Proc. Natl Acad. Sci. USA 106, 1608\u20131613 (2009).<\/p>\n Article<\/a>\u00a0 Morgan, K. K. et al. Focal limbic sources create the large slow oscillations of the EEG in human deep sleep. Sleep Med. 85, 291\u2013302 (2021).<\/p>\n Article<\/a>\u00a0 Carrier, J. et al. Sleep slow wave changes during the middle years of life. Eur. J. Neurosci. 33, 758\u2013766 (2011).<\/p>\n Article<\/a>\u00a0 Mander, B. A., Winer, J. R. & Walker, M. P. Sleep and human aging. Neuron 94, 19\u201336 (2017).<\/p>\n Article<\/a>\u00a0 Carvalho, D. Z. et al. Witnessed apneas are associated with elevated tau-PET levels in cognitively unimpaired elderly. Neurology 94, e1793\u2013e1802 (2020).<\/p>\n Article<\/a>\u00a0 Mander, B. A. et al. Prefrontal atrophy, disrupted NREM slow waves and impaired hippocampal-dependent memory in aging. Nat. Neurosci. 16, 357\u2013364 (2013).<\/p>\n Article<\/a>\u00a0 Mohan, U. R., Zhang, H., Ermentrout, B. & Jacobs, J. The direction of theta and alpha travelling waves modulates human memory processing. Nat. Hum. Behav. 8, 1124\u20131135 (2024).<\/p>\n Article<\/a>\u00a0 Pang \u5e9e\u5146\u9633, Z., Alamia, A. & VanRullen, R. Turning the stimulus on and off changes the direction of \u03b1 traveling waves. eNeuro 7, ENEURO.0218\u20130220.2020 (2020).<\/p>\n Wolk, D. A., Mancuso, L., Kliot, D., Arnold, S. E. & Dickerson, B. C. Familiarity-based memory as an early cognitive marker of preclinical and prodromal AD. Neuropsychologia 51, 1094\u20131102 (2013).<\/p>\n Article<\/a>\u00a0 Fern\u00e1ndez Arias, J. et al. Verbal memory formation across PET-based Braak stages of tau accumulation in Alzheimer\u2019s disease. Brain Commun 5, fcad146 (2023).<\/p>\n Article<\/a>\u00a0 Mander, B. A. et al. Impaired prefrontal sleep spindle regulation of hippocampal-dependent learning in older adults. Cereb. Cortex 24, 3301\u20133309 (2014).<\/p>\n Article<\/a>\u00a0 Andrews-Hanna, J. R. et al. Disruption of large-scale brain systems in advanced aging. Neuron 56, 924\u2013935 (2007).<\/p>\n Article<\/a>\u00a0 Brodt, S., Inostroza, M., Niethard, N. & Born, J. Sleep\u2014a brain-state serving systems memory consolidation. Neuron 111, 1050\u20131075 (2023).<\/p>\n Article<\/a>\u00a0 Busche, M. A. Tau suppresses neuronal activity in vivo, even before tangles form. Brain 142, 843\u2013846 (2019).<\/p>\n Article<\/a>\u00a0 Kazim, S. F. et al. Neuronal network excitability in Alzheimer\u2019s disease: the puzzle of similar versus divergent roles of amyloid \u03b2 and tau. eNeuro 8, ENEURO.0418-20.2020 (2021).<\/p>\n Article<\/a>\u00a0 Menkes-Caspi, N. et al. Pathological tau disrupts ongoing network activity. Neuron 85, 959\u2013966 (2015).<\/p>\n Article<\/a>\u00a0 Giorgio, J., Adams, J. N., Maass, A., Jagust, W. J. & Breakspear, M. Amyloid induced hyperexcitability in default mode network drives medial temporal hyperactivity and early tau accumulation. Neuron 112, 676\u2013686.e4 (2024).<\/p>\n Article<\/a>\u00a0 Busche, M. A. et al. Tau impairs neural circuits, dominating amyloid-\u03b2 effects, in Alzheimer models in vivo. Nat. Neurosci. 22, 57\u201364 (2019).<\/p>\n Article<\/a>\u00a0 Huber, R., Ghilardi, M. F., Massimini, M. & Tononi, G. Local sleep and learning. Nature 430, 78\u201381 (2004).<\/p>\n Article<\/a>\u00a0 Nir, Y. et al. Selective neuronal lapses precede human cognitive lapses following sleep deprivation. Nat. Med. 23, 1474\u20131480 (2017).<\/p>\n Article<\/a>\u00a0 Helfrich, R. F., Mander, B. A., Jagust, W. J., Knight, R. T. & Walker, M. P. Old brains come uncoupled in sleep: slow wave-spindle synchrony, brain atrophy, and forgetting. Neuron 97, 221\u2013230.e4 (2018).<\/p>\n Article<\/a>\u00a0 Zavecz, Z. et al. NREM sleep as a novel protective cognitive reserve factor in the face of Alzheimer\u2019s disease pathology. BMC Med. 21, 156 (2023).<\/p>\n Article<\/a>\u00a0 Winer, J. R. et al. Tau and \u03b2-amyloid burden predict actigraphy-measured and self-reported impairment and misperception of human sleep. J. Neurosci. 41, 7687\u20137696 (2021).<\/p>\n Article<\/a>\u00a0 Winer, J. R. et al. Sleep as a potential biomarker of tau and \u03b2-amyloid burden in the human brain. J. Neurosci. 39, 6315 LP\u20136324 (2019).<\/p>\n Article<\/a>\u00a0 Folstein, M. F., Folstein, S. E. & McHugh, P. R. \u2018Mini-mental state\u2019. A practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 12, 189\u2013198 (1975).<\/p>\n Article<\/a>\u00a0 Krause, A. J., Prather, A. A., Wager, T. D., Lindquist, M. A. & Walker, M. P. The pain of sleep loss: a brain characterization in humans. J. Neurosci. 39, 2291\u20132300 (2019).<\/p>\n Article<\/a>\u00a0 Goldstein-Piekarski, A. N., Greer, S. M., Saletin, J. M. & Walker, M. P. Sleep deprivation impairs the human central and peripheral nervous system discrimination of social threat. J. Neurosci. 35, 10135\u201310145 (2015).<\/p>\n Article<\/a>\u00a0 Nasreddine, Z. S. et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J. Am. Geriatr. Soc. 53, 695\u2013699 (2005).<\/p>\n Article<\/a>\u00a0 Morris, J. C. The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology 43, 2412\u20132414 (1993).<\/p>\n Article<\/a>\u00a0 Iber, C., Ancoli-Israel, S., Chesson, A. & Quan, S. F. The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications (American Academy of Sleep Medicine, 2007).<\/p>\n Gramfort, A. MEG and EEG data analysis with MNE-Python. Front. Neurosci. 7, 267 (2013).<\/p>\n Article<\/a>\u00a0 Vallat, R. & Walker, M. P. An open-source, high-performance tool for automated sleep staging. Elife 10, e70092 (2021).<\/p>\n Article<\/a>\u00a0 Kurth, S. et al. Traveling slow oscillations during sleep: a marker of brain connectivity in childhood. Sleep 40, zsx121 (2017).<\/p>\n Article<\/a>\u00a0 Schoch, S. F. et al. Across-night dynamics in traveling sleep slow waves throughout childhood. Sleep 41, zsy165 (2018).<\/p>\n Article<\/a>\u00a0 Yetton, B. D. et al. Automatic detection of rapid eye movements (REMs): a machine learning approach. J. Neurosci. Methods 259, 72\u201382 (2016).<\/p>\n Article<\/a>\u00a0 Agarwal, R., Takeuchi, T., Laroche, S. & Gotman, J. Detection of rapid-eye movements in sleep studies. IEEE Trans. Biomed. Eng. 52, 1390\u20131396 (2005).<\/p>\n Article<\/a>\u00a0 Alamia, A. & VanRullen, R. Alpha oscillations and traveling waves: signatures of predictive coding?. PLoS Biol. 17, e3000487 (2019).<\/p>\n Article<\/a>\u00a0 Lozano-Soldevilla, D. & VanRullen, R. The hidden spatial dimension of alpha: 10-Hz perceptual echoes propagate as periodic traveling waves in the human brain. Cell Rep. 26, 374\u2013380.e4 (2019).<\/p>\n Article<\/a>\u00a0 Sch\u00f6ll, M. et al. PET imaging of tau deposition in the aging human brain. Neuron 89, 971\u2013982 (2016).<\/p>\n Article<\/a>\u00a0 Ossenkoppele, R. et al. Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer\u2019s disease. Brain 139, 1551\u20131567 (2016).<\/p>\n Article<\/a>\u00a0 Adams, J. N., Harrison, T. M., Maass, A., Baker, S. L. & Jagust, W. J. Distinct factors drive the spatiotemporal progression of tau pathology in older adults. J. Neurosci. 42, 1352\u20131361 (2022).<\/p>\n Article<\/a>\u00a0 Rousset, O. G., Ma, Y. & Evans, A. C. Correction for partial volume effects in PET: principle and validation. J. Nucl. Med. 39, 904\u2013911 (1998).<\/p>\n CAS<\/a>\u00a0 Baker, S. L., Maass, A. & Jagust, W. J. Considerations and code for partial volume correcting [18F]-AV-1451 tau PET data. Data Brief 15, 648\u2013657 (2017).<\/p>\n Article<\/a>\u00a0 Desikan, R. S. et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31, 968\u2013980 (2006).<\/p>\n Article<\/a>\u00a0 Logan, J. et al. Distribution volume ratios without blood sampling from graphical analysis of PET data. J. Cereb. Blood Flow Metab. 16, 834\u2013840 (1996).<\/p>\n Article<\/a>\u00a0 Price, J. C. et al. Kinetic modeling of amyloid binding in humans using PET imaging and Pittsburgh compound-B. J. Cereb. Blood Flow Metab. 25, 1528\u20131547 (2005).<\/p>\n Article<\/a>\u00a0 Mormino, E. C. et al. Not quite PIB-positive, not quite PIB-negative: slight PIB elevations in elderly normal control subjects are biologically relevant. Neuroimage 59, 1152\u20131160 (2012).<\/p>\n Article<\/a>\u00a0 Kaplow, J. et al. Concordance of Lumipulse cerebrospinal fluid t-tau\/A\u03b242 ratio with amyloid PET status. Alzheimers. Dement. 16, 144\u2013152 (2020).<\/p>\n Article<\/a>\u00a0 Jenkins, J. G. & Dallenbach, K. M. Obliviscence during sleep and waking. Am. J. Psychol. 35, 605\u2013612 (1924).<\/p>\n Article<\/a>\u00a0 Tadros, T. & Bazhenov, M. Role of sleep in formation of relational associative memory. J. Neurosci. 42, 5330\u20135345 (2022).<\/p>\n Article<\/a>\u00a0 Ngo, H.-V. V. V., Martinetz, T., Born, J. & M\u00f6lle, M. Auditory closed-loop stimulation of the sleep slow oscillation enhances memory. Neuron 78, 545\u2013553 (2013).<\/p>\n Article<\/a>\u00a0 Marshall, L., M\u00f6lle, M., Hallschmid, M. & Born, J. Transcranial direct current stimulation during sleep improves declarative memory. J. Neurosci. 24, 9985\u20139992 (2004).<\/p>\n Article<\/a>\u00a0 Plihal, W. & Born, J. Effects of early and late nocturnal sleep on declarative and procedural memory. J. Cogn. Neurosci. 9, 534\u2013547 (1997).<\/p>\n Article<\/a>\u00a0 Algarabel, S. et al. Recognition memory deficits in mild cognitive impairment. Neuropsychol. Dev. Cogn. 19, 608\u2013619 (2012).<\/p>\n Article<\/a>\u00a0 Craft, S. et al. Memory improvement following induced hyperinsulinemia in Alzheimer\u2019s disease. Neurobiol. Aging 17, 123\u2013130 (1996).<\/p>\n Article<\/a>\u00a0 Kornak, J. et al. Nonlinear Z-score modeling for improved detection of cognitive abnormality. Alzheimers. Dement. 11, 797\u2013808 (2019).<\/p>\n Multidomain Impairment Rating (MIR) scale calculators. Mayo Clinic https:\/\/rtools.mayo.edu\/mir_neuropsych\/<\/a> (accessed 7 July 2022).<\/p>\n Fischl, B. et al. Automatically parcellating the human cerebral cortex. Cereb. Cortex 14, 11\u201322 (2004).<\/p>\n Article<\/a>\u00a0 Dale, A. M., Fischl, B. & Sereno, M. I. Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage 9, 179\u2013194 (1999).<\/p>\n Article<\/a>\u00a0 Collins, D. L., Neelin, P., Peters, T. M. & Evans, A. C. Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space. J. Comput. Assist. Tomogr. 18, 192\u2013205 (1994).<\/p>\n Article<\/a>\u00a0 Fischl, B. & Dale, A. M. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc. Natl. Acad. Sci. USA 97, 11050\u201311055 (2000).<\/p>\n Article<\/a>\u00a0 Vallat, R. Pingouin: statistics in Python. J. Open Source Softw. 3, 1026 https:\/\/doi.org\/10.21105\/joss.01026<\/a> (2018).<\/p>\n Marozzi, M. Testing for concordance between several criteria. J. Stat. Comput. Simul. 84, 1843\u20131850 (2014).<\/p>\n Article<\/a>\u00a0 Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Series B Stat. Methodol. 57, 289\u2013300 (1995).<\/p>\n Article<\/a>\u00a0 Seabold, S. & Perktold, J. Statsmodels: econometric and statistical modeling with Python. SciPy 2010, 92\u201396 (2010).<\/p>\n","protected":false},"excerpt":{"rendered":"R\u00f6nnlund, M., Nyberg, L., B\u00e4ckman, L. & Nilsson, L.-G. 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