Artículos de revistas
Structural Connectivity Of The Default Mode Network And Cognition In Alzheimer's Disease
Registro en:
Psychiatry Research - Neuroimaging. Elsevier Ireland Ltd, v. 223, n. 1, p. 15 - 22, 2014.
9254927
10.1016/j.pscychresns.2014.04.008
2-s2.0-84902012612
Autor
Weiler M.
de Campos B.M.
Nogueira M.H.
Pereira Damasceno B.
Cendes F.
Balthazar M.L.F.
Institución
Resumen
Disconnectivity between the Default Mode Network (DMN) nodes can cause clinical symptoms and cognitive deficits in Alzheimer's disease (AD). We aimed to examine the structural connectivity between DMN nodes, to verify the extent in which white matter disconnection affects cognitive performance. MRI data of 76 subjects (25 mild AD, 21 amnestic Mild Cognitive Impairment subjects and 30 controls) were acquired on a 3.0. T scanner. ExploreDTI software (fractional Anisotropy threshold=0.25 and the angular threshold=60°) calculated axial, radial, and mean diffusivities, fractional anisotropy and streamline count. AD patients showed lower fractional anisotropy (P=0.01) and streamline count (P=0.029), and higher radial diffusivity (P=0.014) than controls in the cingulum. After correction for white matter atrophy, only fractional anisotropy and radial diffusivity remained significantly lower in AD compared to controls (P=0.003 and P=0.05). In the parahippocampal bundle, AD patients had lower mean and radial diffusivities (P=0.048 and P=0.013) compared to controls, from which only radial diffusivity survived for white matter adjustment (P=0.05). Regression models revealed that cognitive performance is also accounted for by white matter microstructural values. Structural connectivity within the DMN is important to the execution of high-complexity tasks, probably due to its relevant role in the integration of the network. © 2014 Elsevier Ireland Ltd. 223 1 15 22 Acosta-Cabronero, J., Williams, G.B., Pengas, G., Nestor, P.J., Absolute diffusivities define the landscape of white matter degeneration in Alzheimer's disease (2010) Brain, 133 (Pt 2), pp. 529-539 Albert, M.S., DeKosky, S.T., Dickson, D., Dubois, B., Feldman, H.H., Fox, N.C., Gamst, A., Phelps, C.H., The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease (2011) Alzheimers and Dementia, 7, pp. 270-279 Bakkour, A., Morris, J.C., Wolk, D.A., Dickerson, B.C., The effects of aging and Alzheimer's disease on cerebral cortical anatomy: specificity and differential relationships with cognition (2013) Neuroimage, 76, pp. 332-344 Beaulieu, C., The basis of anisotropic water diffusion in the nervous system - a technical review (2002) NMR in Biomedicine, 15, pp. 435-455 Bokde, A.L., Ewers, M., Hampel, H., Assessing neuronal networks: understanding Alzheimer's disease (2009) Progress in Neurobiology, 89, pp. 125-133 Bozzali, M., Parker, G.J., Serra, L., Embleton, K., Gili, T., Perri, R., Caltagirone, C., Cercignani, M., Anatomical connectivity mapping: a new tool to assess brain disconnection in Alzheimer's disease (2011) Neuroimage, 54, pp. 2045-2051 Brickman, A.M., Siedlecki, K.L., Muraskin, J., Manly, J.J., Luchsinger, J.A., Yeung, L.K., Brown, T.R., Stern, Y., White matter hyperintensities and cognition: testing the reserve hypothesis (2011) Neurobiology of Aging, 32, pp. 1588-1598 Christensen, A.L., (1975) Luria's Neuropsychological Investigation, Manual and Test Material, , Munksgaard, Copenhagen Christensen, P., Guilford, J., (1959) Manual for the Christensen Guilford Fluency Tests, , Sheridan Supply, Beverly Hills, California Filley, C.M., (2001) The Behavioral Neurology of White Matter, , Oxford University Press, New York Fischl, B., Salat, D.H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Dale, A.M., Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain (2002) Neuron, 33, pp. 341-355 Fischl, B., Salat, D.H., van der Kouwe, A.J., Makris, N., Segonne, F., Quinn, B.T., Dale, A.M., Sequence-independent segmentation of magnetic resonance images (2004) Neuroimage, 23, pp. 69-84 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 (1975) J Psychiatr Res, 12, pp. 189-198 Frost, B., Diamond, M.I., Prion-like mechanisms in neurodegenerative diseases (2010) Nature Reviews Neuroscience, 11, pp. 155-159 Goedert, M., Clavaguera, F., Tolnay, M., The propagation of prion-like protein inclusions in neurodegenerative diseases (2010) Trends in Neurosciences, 33, pp. 317-325 Greicius, M.D., Menon, V., Default-mode activity during a passive sensory task: uncoupled from deactivation but impacting activation (2004) Journal of Cognitive Neuroscience, 16, pp. 1484-1492 Greicius, M.D., Supekar, K., Menon, V., Dougherty, R.F., Resting-state functional connectivity reflects structural connectivity in the default mode network (2009) Cerebral Cortex, 19, pp. 72-78 Hampson, M., Driesen, N.R., Skudlarski, P., Gore, J.C., Constable, R.T., Brain connectivity related to working memory performance (2006) Journal of Neuroscience, 26, pp. 13338-13343 Hong, Y.J., Yoon, B., Lim, S.C., Shim, Y.S., Kim, J.Y., Ahn, K.J., Han, I.W., Yang, D.W., Microstructural changes in the hippocampus and posterior cingulate in mild cognitive impairment and Alzheimer's disease: a diffusion tensor imaging study (2013) Journal of the Neurological Sciences, 34, pp. 1215-1221 Kaplan, E., Goodglass, H., Weintraub, S., (1983) The Boston Naming Test, , Lea & Febiger, Philadelphia Langner, R., Eickhoff, S.B., Sustaining attention to simple tasks: a meta-analytic review of the neural mechanisms of vigilant attention (2013) Psychological Bulletin, 139, pp. 870-900 Leech, R., Sharp, D.J., The role of the posterior cingulate cortex in cognition and disease (2013) Brain, 137 (Pt 1), pp. 12-32 Leemans, A., Jones, D.K., The B-matrix must be rotated when correcting for subject motion in DTI data (2009) Magnetic Resonance in Medicine, 61, pp. 1336-1349 Lo, C.Y., Wang, P.N., Chou, K.H., Wang, J., He, Y., Lin, C.P., Diffusion tensor tractography reveals abnormal topological organization in structural cortical networks in Alzheimer's disease (2010) J Neurosci, 30, pp. 16876-16885 Malloy-Diniz, L.F., Lasmar, V.A., Gazinelli Lde, S., Fuentes, D., Salgado, J.V., The Rey Auditory-Verbal Learning Test: applicability for the Brazilian elderly (2007) Revista Brasileira de Psiquiatria, 29, pp. 324-329 Matthews, P.M., Filippini, N., Douaud, G., Brain structural and functional connectivity and the progression of neuropathology in Alzheimer's disease (2012) Journal of Alzheimers Disease, 33 (Suppl 1), pp. 163-172 McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., Stadlan, E.M., 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 (1984) Neurology, 34, pp. 939-944 McKhann, G.M., Changing concepts of Alzheimer disease (2011) JAMA, 305, pp. 2458-2459 Meier, I.B., Manly, J.J., Provenzano, F.A., Louie, K.S., Wasserman, B.T., Griffith, E.Y., Hector, J.T., Brickman, A.M., White matter predictors of cognitive functioning in older adults (2012) Journal of the International Neuropsychological Society, 18, pp. 414-427 Metzler-Baddeley, C., Jones, D.K., Steventon, J., Westacott, L., Aggleton, J.P., O'Sullivan, M.J., Cingulum microstructure predicts cognitive control in older age and mild cognitive impairment (2012) Journal of Neuroscience, 32, pp. 17612-17619 Morris, J.C., The Clinical Dementia Rating (CDR): current version and scoring rules (1993) Neurology, 43, pp. 2412-2414 Osterrieth, P., The test of copying a complex figure: a contribution to the study of perception and memory (1944) Archives of Psychology, 30, pp. 206-356 Pievani, M., de Haan, W., Wu, T., Seeley, W.W., Frisoni, G.B., Functional network disruption in the degenerative dementias (2011) Lancet Neurol, 10, pp. 829-843 Ratcliff, G., Spatial thought, mental rotation and the right cerebral hemisphere (1979) Neuropsychologia, 17, pp. 49-54 Reid, A.T., Evans, A.C., Structural networks in Alzheimer's disease (2013) European Neuropsychopharmacology, 23, pp. 63-77 Reitan, R., Validity of the Trail Making Test as an indicator of organic brain damage (1958) Perceptual and Motor Skills, 8, pp. 271-276 Rose, S.E., McMahon, K.L., Janke, A.L., O'Dowd, B., de Zubicaray, G., Strudwick, M.W., Chalk, J.B., Diffusion indices on magnetic resonance imaging and neuropsychological performance in amnestic mild cognitive impairment (2006) Journal of Neurology Neurosurgery and Psychiatry, 77, pp. 1122-1128 Salat, D.H., Tuch, D.S., van der Kouwe, A.J., Greve, D.N., Pappu, V., Lee, S.Y., Hevelone, N.D., Rosas, H.D., White matter pathology isolates the hippocampal formation in Alzheimer's disease (2010) Neurobiology of Aging, 31, pp. 244-256 Sambataro, F., Murty, V.P., Callicott, J.H., Tan, H.Y., Das, S., Weinberger, D.R., Mattay, V.S., Age-related alterations in default mode network: impact on working memory performance (2010) Neurobiology of Aging, 31, pp. 839-852 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 (2002) Neuroimage, 17, pp. 1429-1436 Stroop, J., Studies of interference in serial verbal reactions (1935) Journal of Experimental Psychology, 18, pp. 643-662 Sunderland, T., Hill, J.L., Mellow, A.M., Lawlor, B.A., Gundersheimer, J., Newhouse, P.A., Grafman, J.H., Clock drawing in Alzheimer's disease. a novel measure of dementia severity (1989) Journal of the American Geriatrics Society, 37, pp. 725-729 Teipel, S.J., Bokde, A.L., Meindl, T., Amaro, E., Soldner, J., Reiser, M.F., Herpertz, S.C., Hampel, H., White matter microstructure underlying default mode network connectivity in the human brain (2010) Neuroimage, 49, pp. 2021-2032 Villain, N., Desgranges, B., Viader, F., de la Sayette, V., Mezenge, F., Landeau, B., Baron, J.C., Chetelat, G., Relationships between hippocampal atrophy, white matter disruption, and gray matter hypometabolism in Alzheimer's disease (2008) Journal of Neuroscience, 28, pp. 6174-6181 Wakana, S., Jiang, H., Nagae-Poetscher, L.M., van Zijl, P.C., Mori, S., Fiber tract-based atlas of human white matter anatomy (2004) Radiology, 230, pp. 77-87 Wallis, J.D., Orbitofrontal cortex and its contribution to decision-making (2007) Annual Review of Neuroscience, 30, pp. 31-56 Wang, Y., West, J.D., Flashman, L.A., Wishart, H.A., Santulli, R.B., Rabin, L.A., Pare, N., Saykin, A.J., Selective changes in white matter integrity in MCI and older adults with cognitive complaints (2012) Biochimica Biophysica Acta, 1822, pp. 423-430 Wechsler, D., Manual for the Wechsler Memory Scale-Revised (WMS-R). The Psychological Corporation San Antonio. (1987)Winblad, B., Palmer, K., Kivipelto, M., Jelic, V., Fratiglioni, L., Wahlund, L.O., Nordberg, A., Petersen, R.C., Mild cognitive impairment-beyond controversies, towards a consensus: report of the International Working Group on Mild Cognitive Impairment (2004) Journal of Internal Medicine, 256, pp. 240-246 Wirth, M., Madison, C.M., Rabinovici, G.D., Oh, H., Landau, S.M., Jagust, W.J., Alzheimer's disease neurodegenerative biomarkers are associated with decreased cognitive function but not beta-amyloid in cognitively normal older individuals (2013) Journal of Neuroscience, 33, pp. 5553-5563