Disruption of Functional Connectivity in Clinically Normal Older Adults Harboring Amyloid Burden
Open accessAbstract
Amyloid deposition is present in 20–50% of nondemented older adults yet the functional consequences remain unclear. The current study found that amyloid accumulation is correlated with functional disruption of the default network as measured by intrinsic activity correlations. Clinically normal participants ( n = 38, aged 60–88 years) were characterized using 11 C-labeled Pittsburgh Compound B positron emission tomography imaging to estimate fibrillar amyloid burden and, separately, underwent functional magnetic resonance imaging (fMRI). The integrity of the default network was estimated by correlating rest-state fMRI time courses extracted from a priori regions including the posterior cingulate, lateral parietal, and medial prefrontal cortices. Clinically normal participants with high amyloid burden displayed significantly reduced functional correlations within the default network relative to participants with low amyloid burden. These reductions were also observed when amyloid burden was treated as a continuous, rather than a dichotomous, measure and when controlling for age and structural atrophy. Whole-brain analyses initiated by seeding the posterior cingulate cortex, a region of high amyloid burden in Alzheimer's disease, revealed significant disruption in the default network including functional disconnection of the hippocampal formation.
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Default mode network connectivity was reported affected in subjects at risk of developing Alzheimer's disease, including patients with mild cognitive impairment, cognitively healthy elders with amyloid deposits, and midlife carriers of the APOE4 risk allele.
“Additionally, DMN connectivity was reported affected in subjects at risk of developing AD including patients with mild cognitive impairment (Rombouts et al., 2005;Sorg et al., 2007), in cognitively healthy elders with amyloid deposits (Hedden et al., 2009;Sperling et al., 2009;Sheline et al., 2010b), and in midlife carriers of APO 4 risk allele (Sheline et al., 2010a;Canuet et al., 2012).”
From Early Alterations in Functional Connectivity and White Matter Structure in a Transgenic Mouse Model of Cerebral Amyloidosis (2014) · cites this paper as Hedden et al., 2009
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Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888 · see citing works
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812 · see citing works
<i>The Brain's Default Network</i>: <i>Anatomy, Function, and Relevance to Disease</i>
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761 · see citing works
Self-citationFunctional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358 · see citing works
The processing-speed theory of adult age differences in cognition
Salthouse, T. A. (1996) · Psychological Review · doi:10.1037/0033-295x.103.3.403 · Cited by 5,568 · cited 1× · see citing works
“Participants completed the Rey Auditory-Verbal Learning Test (RAVLT) (Schmidt, 1996) using a 30 min delayed interval (score indicates number of items recalled), two measures of speed of processing (for both, score indicates the number of items completed in 45 s)—pattern matching and number matching (Salthouse, 1996),…”
MethodBuckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., Andrews-Hanna, J. R., Sperling, R. A., & Johnson, K. A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.5062-08.2009 · Cited by 2,862 · see citing works
Self-citationBuckner, R. L., Snyder, A. Z., Shannon, B. J., LaRossa, G., Sachs, R., Fotenos, A. F., Sheline, Y. I., Klunk, W. E., Mathis, C. A., Morris, J. C., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2177-05.2005 · Cited by 2,140 · see citing works
Self-citationDisruption of Large-Scale Brain Systems in Advanced Aging
Andrews-Hanna, J. R., Snyder, A. Z., Vincent, J. L., Lustig, C., Head, D., Raichle, M. E., & Buckner, R. L. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.038 · Cited by 1,592 · see citing works
Self-citationFransson, P., & Marrelec, G. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.05.059 · Cited by 1,213 · cited 1× · see citing works
“The PCC plays a central role in the default network (Buckner et al., 2008; Fransson and Marrelec, 2008; Greicius et al., 2009).”
BackgroundReduced resting-state brain activity in the “default network” in normal aging
Damoiseaux, J. S., Beckmann, C. F., Arigita, E. J. S., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Rombouts, S. A. R. B. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm207 · Cited by 1,187 · see citing works
Dynamics of Gray Matter Loss in Alzheimer's Disease
Thompson, P. M., Hayashi, K. M., de Zubicaray, G., Janke, A. L., Rose, S. E., Semple, J., Herman, D., Hong, M. S., Dittmer, S. S., Doddrell, D. M., et al. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-03-00994.2003 · Cited by 1,132 · see citing works
Coherent spontaneous activity identifies a hippocampal-parietal memory network
Vincent, J. L., Snyder, A. Z., Fox, M. D., Shannon, B. J., Andrews, J. R., Raichle, M. E., & Buckner, R. L. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00048.2006 · Cited by 959 · cited 3× · see citing works
“Maps of functional correlations were obtained by computing the correlation between the mean signal time course from voxels within the PCC and the time courses of all voxels across the brain using Pearson’s product moment correlation (similar to methods described by Fox et al., 2005; Vincent et al., 2006).”
BackgroundMethodSelf-citationReiman, E. M., Chen, K., Liu, X., Bandy, D., Yu, M., Lee, W., Ayutyanont, N., Keppler, J., Reeder, S. A., Langbaum, J. B. S., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900345106 · Cited by 785 · see citing works
Wise, R. G., Ide, K., Poulin, M. J., & Tracey, I. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.11.025 · Cited by 664 · see citing works
Fripp, J., Bourgeat, P., Acosta, O., Raniga, P., Modat, M., Pike, K. E., Jones, G., O'Keefe, G., Masters, C. L., Ames, D., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.07.053 · Cited by 80 · cited 1× · see citing works
“Consistent with neuropathological observations, amyloid imaging confirms that a large proportion (20 –50%) of clinically normal older adults exhibit substantial amyloid burden (Buckner et al., 2005; Mintun et al., 2006; Johnson et al., 2007; Pike et al., 2007; Rowe et al., 2007; Aizenstein et al., 2008; Fripp et al.,…”
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Research works printed but not linked: 57
- Aizenstein HJ Nebes RD Saxton JA Price JC Mathis CA Tsopelas ND Ziolko SK James JA Snitz BE Houck PR Bi W Cohen AD Lopresti BJ DeKosky ST Halligan EM Klunk WE Frequent amyloid deposition without significant cognitive impairment among the elderly Arch Neurol 2008 65 11 1509 1517 19001171 PMC2636844
- Ashburner J Friston KJ Voxel-based morphometry - the methods Neuroimage 2000 11 6 805 821 10860804
- Bacskai BJ Frosch MP Freeman SH Raymond SB Augustinack JC Johnson KA Irizarry MC Klunk WE Mathis CA Dekosky ST Greenberg SM Hyman BT Growdon JH Molecular imaging with Pittsburgh Compound B confirmed at autopsy: a case report Arch Neurol 2007 64 3 431 434 17353389
- Birn RM Diamond JB Smith MA Bandettini PA Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI Neuroimage 2006 31 1536 1548 16632379
- Brainard DH The Psychophysics Toolbox Spatial Vision 1997 10 433 436 9176952
- Celone KA Calhoun VD Dickerson BC Atri A Chua EF Miller SL DePeau K Rentz DM Selkoe DJ Blacker D Albert MS Sperling RA Alterations in memory networks in mild cognitive impairment and Alzheimer's disease: an independent component analysis J Neurosci 2006 26 40 10222 10231 17021177 PMC6674636
- Dickerson BC Bakkour A Salat DH Feczko E Pacheco J Greve DN Grodstein F Wright CI Blacker D Rosas HD Sperling RA Atri A Growdon JH Hyman BT Morris JC Fischl B Buckner RL The cortical signature of Alzheimer's disease: Regionally specific cortical thinning relates to symptom severity in very mild to mild AD dementia and is detectable in asymptomatic amyloid positive individuals Cereb Cortex 2009 19 497 510 18632739 PMC2638813
- Engler H Forsberg A Almkvist O Blomquist G Larsson E Savitcheva I Wall A Ringheim A Langstrom B Nordberg A Two-year follow-up of amyloid deposition in patients with Alzheimer's disease Brain 2006 129 11 2805 2807 16854944
- Evans AJ Iwai F Grist TA Sostman HD Hedlund LW Spritzer CE Negro-Vilar R Beam CA Pelc NJ Magnetic resonance imaging of blood flow with a phase subtraction technique. In vitro and in vivo validation Invest Radiol 1993 28 2 109 115 8444566
- Fagan AM Csernansky CA Morris JC Holtzman DM The search for antecedent biomarkers of Alzheimer's disease J Alzheimers Dis 2005 8 4 347 358 16556966
- Fair DA Schlaggar BL Cohen AL Miezin FM Dosenbach NU Wenger KK Fox MD Snyder AZ Raichle ME Petersen SE A method for using blocked and event-related fMRI data to study "resting state" functional connectivity Neuroimage 2007 35 396 405 17239622 PMC2563954
- Fotenos AF Mintun MA Snyder AZ Morris JC Buckner RL Brain volume decline in aging: evidence for a relation between socioeconomic status, preclinical Alzheimer disease, and reserve Arch Neurol 2008 65 1 113 120 18195148
- Fox MD Snyder AZ Vincent JL Corbetta M Van Essen DC Raichle ME The human brain is intrinsically organized into dynamic, anticorrelated functional networks Proc. Natl. Acad. Sci. U.S.A 2005 102 27 9673 9678 15976020 PMC1157105
- Gomperts SN Rentz DM Moran E Becker JA Locascio JJ Klunk WE Mathis CA Elmaleh DR Shoup T Fischman AJ Hyman BT Growdon JH Johnson KA Imaging amyloid deposition in Lewy body diseases Neurology 2008 71 12 903 910 18794492 PMC2637553
- Greicius MD Srivastava G Reiss AL Menon V Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI Proc Natl Acad Sci U S A 2004 101 13 4637 4642 15070770 PMC384799
- Greicius MD Supekar K Menon V Dougherty RF Resting-state functional connectivity reflects structural connectivity in the default mode network Cereb Cortex 2009 19 1 72 78 18403396 PMC2605172
- Grimmer T Henriksen G Wester HJ Forstl H Klunk WE Mathis CA Kurz A Drzezga A Clinical severity of Alzheimer's disease is associated with PIB uptake in PET Neurobiol Aging 2008 18346821
- Grober E Sliwinski M Development and validation of a model for estimating premorbid verbal intelligence in the elderly J Clin Exp Neuropsychol 1991 13 6 933 949 1779032
- Gusnard DA Raichle ME Searching for a baseline: functional imaging and the resting human brain Nat Rev Neurosci 2001 2 10 685 694 11584306
- Herholz K Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET Neuroimage 2002 17 1 302 316 12482085
- Ikonomovic MD Klunk WE Abrahamson EE Mathis CA Price JC Tsopelas ND Lopresti BJ Ziolko S Bi W Paljug WR Debnath ML Hope CE Isanski BA Hamilton RL DeKosky ST Post-mortem correlates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer's disease Brain 2008 131 Pt 6 1630 1645 18339640 PMC2408940
- Jack CR Jr. Lowe VJ Senjem ML Weigand SD Kemp BJ Shiung MM Knopman DS Boeve BF Klunk WE Mathis CA Petersen RC 11C PiB and structural MRI provide complementary information in imaging of Alzheimer's disease and amnestic mild cognitive impairment Brain 2008 131 Pt 3 665 680 18263627 PMC2730157
- Jack CR Jr. Lowe VJ Weigand SD Wiste HJ Senjem ML Knopman DS Shiung MM Gunter JL Boeve BF Kemp BJ Weiner M Petersen RC Serial PIB and MRI in normal, mild cognitive impairment and Alzheimer's disease: implications for sequence of pathological events in Alzheimer's disease Brain 2009 132 Pt 5 1355 1365 19339253 PMC2677798
- Jenkinson M Smith S A global optimisation method for robust affine registration of brain images Med Image Anal 2001 5 2 143 156 11516708
- Johnson KA Amyloid imaging of Alzheimer's disease using Pittsburgh Compound B Curr Neurol Neurosci Rep 2006 6 6 496 503 17074285
- Johnson KA Gregas M Becker JA Kinnecom C Salat DH Moran EK Smith EE Rosand J Rentz DM Klunk WE Mathis CA Price JC Dekosky ST Fischman AJ Greenberg SM Imaging of amyloid burden and distribution in cerebral amyloid angiopathy Ann Neurol 2007 62 3 229 234 17683091
- Kahn I Andrews-Hanna JR Vincent JL Snyder AZ Buckner RL Distinct cortical anatomy linked to subregions of the medial temporal lobe revealed by intrinsic functional connectivity J Neurophysiol 2008 100 1 129 139 18385483 PMC2493488
- Klunk WE Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound-B Ann Neurol 2004 55 3 306 319 14991808
- Klunk WE Mathis CA The future of amyloid-beta imaging: a tale of radionuclides and tracer proliferation Curr Opin Neurol 2008 21 6 683 687 18989113 PMC2637561
- Kwong KK Belliveau JW Chesler DA Goldberg IE Weisskoff RM Poncelet BP Kennedy DN Hoppel BE Cohen MS Turner R Cheng HM Brady TJ Rosen BR Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation Proc Natl Acad Sci U S A 1992 89 12 5675 5679 1608978 PMC49355
- Logan J Fowler JS Volkow ND Wolf AP Dewey SL Schlyer DJ MacGregor RR Hitzemann R Bendriem B Gatley SJ Christman DR Graphical analysis of reversible radioligand binding from time-activity measurements applied to [N-11C-methyl]-(−)-cocaine PET studies in human subjects J Cereb Blood Flow Metab 1990 10 5 740 747 2384545
- Lopresti BJ Klunk WE Mathis CA Hoge JA Ziolko SK Lu X Meltzer CC Schimmel K Tsopelas ND DeKosky ST Price JC Simplified quantification of Pittsburgh Compound B amyloid imaging PET studies: a comparative analysis J Nucl Med 2005 46 12 1959 1972 16330558
- Lustig C Snyder AZ Bhakta M O'Brien KC McAvoy M Raichle ME Morris JC Buckner RL Functional deactivations: change with age and dementia of the Alzheimer type Proc Natl Acad Sci U S A 2003 100 24 14504 14509 14608034 PMC283621
- Macey PM Macey KE Kumar R Harper RM A method for removal of global effects from fMRI time series NeuroImage 2004 22 360 366 15110027
- Mattson MP Pathways towards and away from Alzheimer's disease Nature 2004 430 7000 631 639 15295589 PMC3091392
- Minoshima S Giordani B Berent S Frey KA Foster NL Kuhl DE Metabolic reduction in the posterior cingulate cortex in very early Alzheimer's disease Ann Neurol 1997 42 1 85 94 9225689
- Mintun MA Larossa GN Sheline YI Dence CS Lee SY Mach RH Klunk WE Mathis CA DeKosky ST Morris JC [11C]PIB in a nondemented population: potential antecedent marker of Alzheimer disease Neurology 2006 67 3 446 452 16894106
- Mormino EC Kluth JT Madison CM Rabinovici GD Baker SL Miller BL Koeppe RA Mathis CA Weiner MW Jagust WJ Episodic memory loss is related to hippocampal-mediated {beta}-amyloid deposition in elderly subjects Brain 2008 132 Pt 5 1310 1323 19042931 PMC2677792
- Ogawa S Tank DW Menon R Ellermann JM Kim SG Merkle H Ugurbil K Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging Proc Natl Acad Sci U S A 1992 89 13 5951 5955 1631079 PMC402116
- Pelli DG The Video Toolbox software for visual psychophysics: transforming numbers into movies Spat Vis 1997 10 4 437 442 9176953
- Pihlajamaki M DePeau KM Blacker D Sperling RA Impaired medial temporal repetition suppression is related to failure of parietal deactivation in Alzheimer disease Am J Geriatr Psychiatry 2008 16 4 283 292 18378553 PMC2602949
- Pike KE Savage G Villemagne VL Ng S Moss SA Maruff P Mathis CA Klunk WE Masters CL Rowe CC Beta-amyloid imaging and memory in non-demented individuals: evidence for preclinical Alzheimer's disease Brain 2007 130 Pt 11 2837 2844 17928318
- Price JC Klunk WE Lopresti BJ Lu X Hoge JA Ziolko SK Holt DP Meltzer CC DeKosky ST Mathis CA Kinetic modeling of amyloid binding in humans using PET imaging and Pittsburgh Compound-B J Cereb Blood Flow Metab 2005 25 11 1528 1547 15944649
- Rabinovici GD Furst AJ O'Neil JP Racine CA Mormino EC Baker SL Chetty S Patel P Pagliaro TA Klunk WE Mathis CA Rosen HJ Miller BL Jagust WJ 11C-PIB PET imaging in Alzheimer disease and frontotemporal lobar degeneration Neurology 2007 68 15 1205 1212 17420404
- Raichle ME MacLeod AM Snyder AZ Powers WJ Gusnard DA Shulman GL A default mode of brain function Proc Natl Acad Sci U S A 2001 98 2 676 682 11209064 PMC14647
- Raji CA Becker JT Tsopelas ND Price JC Mathis CA Saxton JA Lopresti BJ Hoge JA Ziolko SK DeKosky ST Klunk WE Characterizing regional correlation, laterality and symmetry of amyloid deposition in mild cognitive impairment and Alzheimer's disease with Pittsburgh Compound B J Neurosci Methods 2008 172 2 277 282 18582948 PMC2501111
- Reiman EM Caselli RJ Yun LS Chen K Bandy D Minoshima S Thibodeau SN Osborne D Preclinical evidence of Alzheimer's disease in persons homozygous for the epsilon 4 allele for apolipoprotein E N Engl J Med 1996 334 12 752 758 8592548
- Rombouts SA Barkhof F Goekoop R Stam CJ Scheltens P Altered resting state networks in mild cognitive impairment and mild Alzheimer's disease: an fMRI study Hum Brain Mapp 2005 26 4 231 239 15954139 PMC6871685
- Rowe CC Ng S Ackermann U Gong SJ Pike K Savage G Cowie TF Dickinson KL Maruff P Darby D Smith C Woodward M Merory J Tochon-Danguy H O'Keefe G Klunk WE Mathis CA Price JC Masters CL Villemagne VL Imaging beta-amyloid burden in aging and dementia Neurology 2007 68 20 1718 1725 17502554
- Ryan JJ Paolo AM A screening procedure for estimating premorbid intelligence in the elderly Clin Neuropsychol 1992 6 1 53 62 14589637
- Scahill RI Schott JM Stevens JM Rossor MN Fox NC Mapping the evolution of regional atrophy in Alzheimer's disease: unbiased analysis of fluid-registered serial MRI Proc Natl Acad Sci U S A 2002 99 7 4703 4707 11930016 PMC123711
- Sorg C Riedl V Muhlau M Calhoun VD Eichele T Laer L Drzezga A Forstl H Kurz A Zimmer C Wohlschlager AM Selective changes of resting-state networks in individuals at risk for Alzheimer's disease Proc Natl Acad Sci U S A 2007 104 47 18760 18765 18003904 PMC2141850
- Sperling RA LaViolette P O'Keefe K O'Brien J Rentz DM Pihlajamaki M Marshall G Hyman BT Selkoe DJ Hedden T Buckner RL Becker JA Johnson KA Amyloid deposition is associated with impaired default network function in older persons without dementia Neuron 2009 63 2 178 188 19640477 PMC2738994
- Villemagne VL Pike KE Darby D Maruff P Savage G Ng S Ackermann U Cowie TF Currie J Chan SG Jones G Tochon-Danguy H O'Keefe G Masters CL Rowe CC Abeta deposits in older non-demented individuals with cognitive decline are indicative of preclinical Alzheimer's disease Neuropsychologia 2008 46 6 1688 1697 18343463
- Walsh DM Selkoe DJ Deciphering the molecular basis of memory failure in Alzheimer's disease Neuron 2004 44 1 181 193 15450169
- Witt ST Laird AR Meyerand ME Functional neuroimaging correlates of finger-tapping task variations: an ALE meta-analysis Neuroimage 2008 42 1 343 356 18511305 PMC2592684
- Yesavage JA Brink TL Rose TL Lum O Huang V Adey MB Leirer VO Development and validation of a geriatric depression rating scale: A preliminary report Journal of Psychiatric Research 1983 17 37 49 7183759
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Chhatwal, J. P., Schultz, A. P., Johnson, K., Benzinger, T. L. S., Jack, C., Ances, B. M., Sullivan, C. A., Salloway, S. P., Ringman, J. M., Koeppe, R. A., et al. (2013) · Neurology · doi:10.1212/wnl.0b013e3182a1aafe · Cited by 179 · see citing works
Self-citationThe potential of functional MRI as a biomarker in early Alzheimer's disease
Sperling, R. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.09.009 · Cited by 187 · see citing works
Self-citationMormino, E. C., Brandel, M. G., Madison, C. M., Rabinovici, G. D., Marks, S., Baker, S. L., & Jagust, W. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.098 · Cited by 158 · see citing works
Within-patient correspondence of amyloid-β and intrinsic network connectivity in Alzheimer’s disease
Myers, N., Pasquini, L., Göttler, J., Grimmer, T., Koch, K., Ortner, M., Neitzel, J., Mühlau, M., Förster, S., Kurz, A., et al. (2014) · Brain · doi:10.1093/brain/awu103 · Cited by 132 · see citing works
In vivo characterization of the early states of the amyloid-beta network
Sepulcre, J., Sabuncu, M. R., Becker, A., Sperling, R., & Johnson, K. A. (2013) · Brain · doi:10.1093/brain/awt146 · Cited by 117 · see citing works
Self-citationKoch, K., Myers, N. E., Göttler, J., Pasquini, L., Grimmer, T., Förster, S., Manoliu, A., Neitzel, J., Kurz, A., Förstl, H., et al. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu151 · Cited by 97 · see citing works
In vivo assessment of amyloid‐β deposition in nondemented very elderly subjects
Mathis, C. A., Kuller, L. H., Klunk, W. E., Snitz, B. E., Price, J. C., Weissfeld, L. A., Rosario, B. L., Lopresti, B. J., Saxton, J. A., Aizenstein, H. J., et al. (2013) · Annals of Neurology · doi:10.1002/ana.23797 · Cited by 98 · see citing works
A review of β-amyloid neuroimaging in Alzheimer's disease
Adlard, P. A., Tran, B. A., Finkelstein, D. I., Desmond, P. M., Johnston, L. A., Bush, A. I., & Egan, G. F. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00327 · Cited by 93 · see citing works
MRI predictors of amyloid pathology: results from the EMIF-AD Multimodal Biomarker Discovery study
ten Kate, M., Redolfi, A., Peira, E., Bos, I., Vos, S. J., Vandenberghe, R., Gabel, S., Schaeverbeke, J., Scheltens, P., Blin, O., et al. (2018) · Alzheimer's Research & Therapy · doi:10.1186/s13195-018-0428-1 · Cited by 78 · see citing works
Bai, F., Watson, D. R., Shi, Y., Wang, Y., Yue, C., YuhuanTeng, Wu, D., Yuan, Y., & Zhang, Z. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024271 · Cited by 85 · see citing works
Resting State fMRI Reveals Diminished Functional Connectivity in a Mouse Model of Amyloidosis
Shah, D., Jonckers, E., Praet, J., Vanhoutte, G., Delgado y Palacios, R., Bigot, C., D’Souza, D. V., Verhoye, M., & Van der Linden, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0084241 · Cited by 82 · see citing works
Grandjean, J., Schroeter, A., He, P., Tanadini, M., Keist, R., Krstic, D., Konietzko, U., Klohs, J., Nitsch, R. M., & Rudin, M. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.4762-13.2014 · Cited by 70 · see citing works
“, 2007), in cognitively healthy elders with amyloid deposits (Hedden et al., 2009; Sperling et al., 2009; Sheline et al., 2010b), and in midlife carriers of APO 4 risk allele (Sheline et al.”
BackgroundHippocampal hypometabolism in older adults with memory complaints and increased amyloid burden
Vannini, P., Hanseeuw, B., Munro, C. E., Amariglio, R. E., Marshall, G. A., Rentz, D. M., Pascual-Leone, A., Johnson, K. A., & Sperling, R. A. (2017) · Neurology · doi:10.1212/wnl.0000000000003889 · Cited by 61 · see citing works
Self-citationZolochevska, O., & Taglialatela, G. (2016) · Current Pharmaceutical Design · doi:10.2174/1381612822666160518142110 · Cited by 49 · see citing works
Förster, S., Yousefi, B. H., Wester, H.-J., Klupp, E., Rominger, A., Förstl, H., Kurz, A., Grimmer, T., & Drzezga, A. (2012) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-012-2230-9 · Cited by 45 · see citing works
Mormino, E. C. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9267-4 · Cited by 44 · see citing works
Colon-Perez, L. M., Ibanez, K. R., Suarez, M., Torroella, K., Acuna, K., Ofori, E., Levites, Y., Vaillancourt, D. E., Golde, T. E., Chakrabarty, P., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116138 · Cited by 41 · see citing works
Zhukovsky, P., Coughlan, G., Buckley, R., Grady, C., & Voineskos, A. N. (2023) · Human Brain Mapping · doi:10.1002/hbm.26148 · Cited by 26 · see citing works
The Effects of Amyloid and Tau on Functional Network Connectivity in Older Populations
Wales, R. M., & Leung, H.-C. (2021) · Brain Connectivity · doi:10.1089/brain.2020.0902 · Cited by 26 · see citing works
Lin, C., Ly, M., Karim, H. T., Wei, W., Snitz, B. E., Klunk, W. E., & Aizenstein, H. J. (2020) · Alzheimer's Research & Therapy · doi:10.1186/s13195-019-0573-1 · Cited by 19 · see citing works
Episodic Memory in Healthy Older Adults: The Role of Prefrontal and Parietal Cortices
Rajah, M. N., Maillet, D., & Grady, C. L. (2015) · The Wiley Handbook on the Cognitive Neuroscience of Memory · doi:10.1002/9781118332634.ch17 · Cited by 9 · see citing works
Association of brain network dynamics with plasma biomarkers in subjective memory complainers
Chiesa, P. A., Houot, M., Vergallo, A., Cavedo, E., Lista, S., Potier, M. C., Zetterberg, H., Blennow, K., Vanmechelen, E., De Vos, A., et al. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.12.017 · Cited by 7 · see citing works
Chen, J., Han, X., Liu, Z., Zhou, C., Hu, R., Tabassam, S., Wyatt-Johnson, S. K., Oblak, A. L., Brutkiewicz, R. R., Lin, M., et al. (2026) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2025.3614233 · Cited by 2 · see citing works
- Authors
- Hedden, T., Van Dijk, K. R. A., Becker, J. A., Mehta, A., Sperling, R. A., Johnson, K. A., & Buckner, R. L.
- Affiliations
- Massachusetts General Hospital (US)
- Athinoula A. Martinos Center for Biomedical Imaging (US)
- Harvard University (US)
- Brigham and Women's Hospital (US)
- Howard Hughes Medical Institute (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2009-10-07
- Volume
- 29
- Issue
- 40
- Pages
- 12686-12694
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC2808119
- OpenAlex
- W1974594322
- Cited by
- 598
- References
- 15
- Citations by year
- 2026: 19 · 2025: 21 · 2024: 24 · 2023: 28 · 2022: 17 · 2021: 31 · 2020: 25 · 2019: 40 · 2018: 32 · 2017: 33 · 2016: 39 · 2015: 39 · 2014: 52 · 2013: 45 · 2012: 59
- FWCI
- 24.77
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Howard Hughes Medical Institute
- Alzheimer's Association
- Massachusetts General Hospital
- University of Pittsburgh
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital
- National Institute on Aging (AG021910, R01AG021910, AG-027435-S1, R01AG027435, P50AG005134, R01AG034556)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- amyloid burden, functional connectivity, default mode network, Pittsburgh compound B, posterior cingulate cortex, hippocampal formation, functional disconnection, Alzheimer's disease, brain aging
- MeSH terms
- Aged, Aged, 80 and over, Aging, Amyloid, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Motor Cortex, Nerve Net, Visual Cortex
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