Cognitive Reserve Relates to Functional Network Efficiency in Alzheimer's Disease
Carregando...
Citações na Scopus
26
Tipo de produção
article
Data de publicação
2018
Título da Revista
ISSN da Revista
Título do Volume
Editora
FRONTIERS MEDIA SA
Autores
WEILER, Marina
CASSEB, Raphael Fernandes
CAMPOS, Brunno Machado de
TEIXEIRA, Camila Vieira de Ligo
CARLETTI-CASSANI, Ana Flavia Mac Knight
VICENTINI, Jessica Elias
MAGALHAES, Thamires Naela Cardoso
ALMEIRA, Debora Queiroz de
Citação
FRONTIERS IN AGING NEUROSCIENCE, v.10, article ID 255, 14p, 2018
Resumo
Alzheimer's disease (AD) is the most common form of dementia, with no means of cure or prevention. The presence of abnormal disease-related proteins in the population is, in turn, much more common than the incidence of dementia. In this context, the cognitive reserve (CR) hypothesis has been proposed to explain the discontinuity between pathophysiological and clinical expression of AD, suggesting that CR mitigates the effects of pathology on clinical expression and cognition. fMRI studies of the human connectome have recently reported that AD patients present diminished functional efficiency in resting-state networks, leading to a loss in information flow and cognitive processing. No study has investigated, however, whether CR modifies the effects of the pathology in functional network efficiency in AD patients. We analyzed the relationship between CR, pathophysiology and network efficiency, and whether CR modifies the relationship between them. Fourteen mild AD, 28 amnestic mild cognitive impairment (aMCI) due to AD, and 28 controls were enrolled. We used education to measure CR, cerebrospinal fluid (CSF) biomarkers to evaluate pathophysiology, and graph metrics to measure network efficiency. We found no relationship between CR and CSF biomarkers; CR was related to higher network efficiency in all groups; and abnormal levels of CSF protein biomarkers were related to more efficient networks in the AD group. Education modified the effects of tau-related pathology in the aMCI and mild AD groups. Although higher CR might not protect individuals from developing AD pathophysiology, AD patients with higher CR are better able to cope with the effects of pathology-presenting more efficient networks despite pathology burden. The present study highlights that interventions focusing on cognitive stimulation might be useful to slow age-related cognitive decline or dementia and lengthen healthy aging.
Palavras-chave
fMRI, graph theory, mild cognitive impairment, neuropathology, educational measurement, network efficiency
Referências
- Albert MS, 2011, ALZHEIMERS DEMENT, V7, P270, DOI 10.1016/j.jalz.2011.03.008
- Almeida RP, 2015, JAMA NEUROL, V72, P699, DOI 10.1001/jamaneurol.2015.0098
- Amieva H, 2014, BRAIN, V137, P1167, DOI 10.1093/brain/awu035
- Arenaza-Urquijo EM, 2013, NEUROIMAGE, V83, P450, DOI 10.1016/j.neuroimage.2013.06.053
- Arenaza-Urquijo EM, 2013, J ALZHEIMERS DIS, V35, P715, DOI 10.3233/JAD-121906
- Beauquis J, 2013, EXP NEUROL, V239, P28, DOI 10.1016/j.expneurol.2012.09.009
- Bennett DA, 2003, NEUROLOGY, V60, P1909, DOI 10.1212/01.WNL.0000069923.64550.9F
- Bennett DA, 2006, NEUROLOGY, V66, P1837, DOI 10.1212/01.wnl.0000219668.47116.e6
- Binnewijzend MAA, 2014, HUM BRAIN MAPP, V35, P2383, DOI 10.1002/hbm.22335
- Blennow K, 2009, J ALZHEIMERS DIS, V18, P413, DOI 10.3233/JAD-2009-1177
- Boots EA, 2015, ARCH CLIN NEUROPSYCH, V30, P634, DOI 10.1093/arclin/acv041
- Bosch B, 2010, CORTEX, V46, P451, DOI 10.1016/j.cortex.2009.05.006
- Bozzali M, 2015, J ALZHEIMERS DIS, V44, P243, DOI 10.3233/JAD-141824
- Brayne C, 2010, BRAIN, V133, P2210, DOI 10.1093/brain/awq185
- Brier MR, 2014, NEUROBIOL AGING, V35, P757, DOI 10.1016/j.neurobiolaging.2013.10.081
- Bruandet A, 2008, DEMENT GERIATR COGN, V25, P74, DOI 10.1159/000111693
- Brucki SMD, 2003, ARQ NEURO-PSIQUIAT, V61, P777, DOI 10.1590/S0004-282X2003000500014
- Bullmore ET, 2009, NAT REV NEUROSCI, V10, P186, DOI 10.1038/nrn2575
- Canuet L, 2015, J NEUROSCI, V35, P10325, DOI 10.1523/JNEUROSCI.0704-15.2015
- Celebi O, 2016, ARCH GERONTOL GERIAT, V62, P125, DOI 10.1016/j.archger.2015.09.010
- Colangeli S, 2016, AM J ALZHEIMERS DIS, V31, P443, DOI 10.1177/1533317516653826
- Daianu M, 2015, I S BIOMED IMAGING, P458, DOI 10.1109/ISBI.2015.7163910
- de Campos BM, 2016, HUM BRAIN MAPP, V37, P3137, DOI 10.1002/hbm.23231
- Del Ser T, 1999, BRAIN, V122, P2309, DOI 10.1093/brain/122.12.2309
- FAZEKAS F, 1987, AM J ROENTGENOL, V149, P351, DOI 10.2214/ajr.149.2.351
- Fischer FU, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0086258
- Forlenza Orestes V, 2015, Alzheimers Dement (Amst), V1, P455, DOI 10.1016/j.dadm.2015.09.003
- Franzmeier N, 2017, BRAIN IMAGING BEHAV, V11, P368, DOI 10.1007/s11682-016-9599-1
- Guo LH, 2013, ALZHEIMERS DEMENT, V9, P580, DOI 10.1016/j.jalz.2012.10.002
- HACHINSKI VC, 1975, ARCH NEUROL-CHICAGO, V32, P632, DOI 10.1001/archneur.1975.00490510088009
- Harris P, 2015, NEUROPSYCH DIS TREAT, V11, P2599, DOI 10.2147/NDT.S84292
- Ihunwo AO, 2016, NEURAL REGEN RES, V11, P1869, DOI 10.4103/1673-5374.195278
- Jack CR, 2010, LANCET NEUROL, V9, P119, DOI 10.1016/S1474-4422(09)70299-6
- Jagust WJ, 2011, TRENDS COGN SCI, V15, P520, DOI 10.1016/j.tics.2011.09.004
- Jiang Y, 2016, FRONT AGING NEUROSCI, V8, DOI 10.3389/fnagi.2016.00015
- Johansson CB, 1999, EXP CELL RES, V253, P733, DOI 10.1006/excr.1999.4678
- Khazaee A, 2017, BEHAV BRAIN RES, V322, P339, DOI 10.1016/j.bbr.2016.06.043
- Kruschwitz JD, 2015, J NEUROSCI METH, V245, P107, DOI 10.1016/j.jneumeth.2015.02.021
- Landau SM, 2012, ARCH NEUROL-CHICAGO, V69, P623, DOI 10.1001/archneurol.2011.2748
- Lazarov O, 2005, CELL, V120, P701, DOI 10.1016/j.cell.2005.01.015
- Li XZ, 2013, SCI REP-UK, V3, DOI 10.1038/srep01339
- Liu YW, 2012, NEURORADIOLOGY, V54, P929, DOI 10.1007/s00234-012-1005-0
- Lu YH, 2016, FRONT BEHAV NEUROSCI, V10, DOI 10.3389/fnbeh.2016.00229
- Marques P, 2015, SCI REP-UK, V5, DOI 10.1038/srep12812
- McKhann GM, 2011, JAMA-J AM MED ASSOC, V305, P2458, DOI 10.1001/jama.2011.810
- MORRIS JC, 1993, NEUROLOGY, V43, P2412, DOI 10.1212/WNL.43.11.2412-a
- Morris JC, 2010, ANN NEUROL, V67, P122, DOI 10.1002/ana.21843
- Nilsson M, 1999, J NEUROBIOL, V39, P569, DOI 10.1002/(SICI)1097-4695(19990615)39:4<569::AID-NEU10>3.0.CO;2-F
- Osone A, 2015, GERIATR GERONTOL INT, V15, P428, DOI 10.1111/ggi.12292
- Perneczky R, 2006, J NEUROL NEUROSUR PS, V77, P1060, DOI 10.1136/jnnp.2006.094714
- PFEFFER RI, 1982, J GERONTOL, V37, P323, DOI 10.1093/geronj/37.3.323
- Qiu TT, 2016, J ALZHEIMERS DIS, V54, P1483, DOI 10.3233/JAD-160403
- Rentz DM, 2010, ANN NEUROL, V67, P353, DOI 10.1002/ana.21904
- Robertson IH, 2013, NEUROBIOL AGING, V34, P298, DOI 10.1016/j.neurobiolaging.2012.05.019
- Roe CM, 2008, ARCH NEUROL-CHICAGO, V65, P1467, DOI 10.1001/archneur.65.11.1467
- Rubinov M, 2011, NEUROIMAGE, V56, P2068, DOI 10.1016/j.neuroimage.2011.03.069
- Rzezak P, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140945
- Santarnecchi E, 2015, CORTEX, V64, P293, DOI 10.1016/j.cortex.2014.11.005
- Sanz-Arigita EJ, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0013788
- Scarmeas N, 2003, J CLIN EXP NEUROPSYC, V25, P625, DOI 10.1076/jcen.25.5.625.14576
- Scarmeas N, 2006, J NEUROL NEUROSUR PS, V77, P308, DOI 10.1136/jnnp.2005.072306
- Scarmeas N, 2003, ARCH NEUROL-CHICAGO, V60, P359, DOI 10.1001/archneur.60.3.359
- Scarmeas N, 2001, NEUROLOGY, V57, P2236, DOI 10.1212/WNL.57.12.2236
- Serra L, 2017, J ALZHEIMERS DIS, V55, P421, DOI 10.3233/JAD-160735
- Serra L, 2011, REJUV RES, V14, P143, DOI 10.1089/rej.2010.1103
- Shirer WR, 2012, CEREB CORTEX, V22, P158, DOI 10.1093/cercor/bhr099
- Soldan A, 2013, NEUROBIOL AGING, V34, P2827, DOI 10.1016/j.neurobiolaging.2013.06.017
- Sole-Padulles C, 2009, NEUROBIOL AGING, V30, P1114, DOI 10.1016/j.neurobiolaging.2007.10.008
- Song M, 2008, NEUROIMAGE, V41, P1168, DOI 10.1016/j.neuroimage.2008.02.036
- Stam CJ, 2007, CEREB CORTEX, V17, P92, DOI 10.1093/cercor/bhj127
- Stern Y, 2005, CEREB CORTEX, V15, P394, DOI 10.1093/cercor/bhh142
- Stern Y, 2002, J INT NEUROPSYCH SOC, V8, P448, DOI 10.1017/S1355617702813248
- Stern Y, 2012, LANCET NEUROL, V11, P1006, DOI 10.1016/S1474-4422(12)70191-6
- Supekar K, 2008, PLOS COMPUT BIOL, V4, DOI 10.1371/journal.pcbi.1000100
- Tapiola T, 2009, ARCH NEUROL-CHICAGO, V66, P382, DOI 10.1001/archneurol.2008.596
- van den Heuvel MP, 2009, J NEUROSCI, V29, P7619, DOI 10.1523/JNEUROSCI.1443-09.2009
- van Praag H, 2000, NAT REV NEUROSCI, V1, P191, DOI 10.1038/35044558
- Wang JH, 2015, HUM BRAIN MAPP, V36, P1828, DOI 10.1002/hbm.22740
- Wang JH, 2013, BIOL PSYCHIAT, V73, P472, DOI 10.1016/j.biopsych.2012.03.026
- Wang L, 2013, JAMA NEUROL, V70, P1242, DOI 10.1001/jamaneurol.2013.3253
- Yaffe K, 2011, JAMA-J AM MED ASSOC, V305, P261, DOI 10.1001/jama.2010.1995
- Zalesky A, 2010, NEUROIMAGE, V53, P1197, DOI 10.1016/j.neuroimage.2010.06.041
- Zalesky A, 2010, NEUROIMAGE, V50, P970, DOI 10.1016/j.neuroimage.2009.12.027