Distinct patterns of brain activity in young carriers of the APOE -ε4 allele
Open accessAbstract
The APOE ε4 allele is a risk factor for late-life pathological changes that is also associated with anatomical and functional brain changes in middle-aged and elderly healthy subjects. We investigated structural and functional effects of the APOE polymorphism in 18 young healthy APOE ε4-carriers and 18 matched noncarriers (age range: 20–35 years). Brain activity was studied both at rest and during an encoding memory paradigm using blood oxygen level-dependent fMRI. Resting fMRI revealed increased “default mode network” (involving retrosplenial, medial temporal, and medial-prefrontal cortical areas) coactivation in ε4-carriers relative to noncarriers. The encoding task produced greater hippocampal activation in ε4-carriers relative to noncarriers. Neither result could be explained by differences in memory performance, brain morphology, or resting cerebral blood flow. The APOE ε4 allele modulates brain function decades before any clinical or neurophysiological expression of neurodegenerative processes.
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Previous studies have already linked APOE4 to increased (hyper-)metabolism in young individuals.
“However, previous studies have already linked APOE4 to increased (hyper-)metabolism in young individuals.”
From APOE4 Increases Energy Metabolism in APOE-Isogenic iPSC-Derived Neurons (2024) · cites this paper as [45]
The Abstract reports reduced resting glucose metabolism in young and middle-aged APOE ε4 carriers, contrary to the claim of increased metabolism. The paper does find increased BOLD activation in young carriers, but it distinguishes brain activation from glucose metabolism. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredStudies in young adults, before the onset of a pathology, showed that APOE4 carriers display hypermetabolism and hyperactivity in distinct brain regions, such as the hippocampus, entorhinal cortex, and cortical regions.
“Studies in young adults, before the onset of a pathology, showed that APOE4 carriers display hypermetabolism and hyperactivity in distinct brain regions, such as the hippocampus, entorhinal cortex, and cortical regions [44,45,46].”
From APOE4 Increases Energy Metabolism in APOE-Isogenic iPSC-Derived Neurons (2024) · cites this paper as [45]
The Abstract and Discussion report increased resting coactivation and greater hippocampal activation during memory encoding in healthy young APOE ε4 carriers, including activity in a network with cortical regions. They do not establish increased entorhinal activation or hypermetabolism: the Abstract instead describes prior reports of reduced resting glucose metabolism, and the Discussion reports no difference in resting brain perfusion between the study groups. Page numbers are unavailable in our copy. (LLM, conf=0.90)
Experimental — accuracy not yet measuredYoung ApoE4 carriers showed increased brain activity in default network regions, as well as in the hippocampus and the temporal lobe, possibly due to increased aerobic glycolysis.
“Young ApoE4 carriers showed increased brain activity in default network regions, as well as in the hippocampus and the temporal lobe, possibly due to increased aerobic glycolysis.34”
From ApoE4-dependent lysosomal cholesterol accumulation impairs mitochondrial homeostasis and oxidative phosphorylation in human astrocytes (2023) · cites this paper as [35]
The Results report greater default-mode-network coactivation in medial temporal, medial-prefrontal, and retrosplenial regions, as well as greater hippocampal activation during memory encoding in young APOE ε4 carriers. They do not establish a separate increase across the temporal lobe or suggest increased aerobic glycolysis as an explanation; the Discussion considers other possible mechanisms. (LLM, conf=0.88)
Experimental — accuracy not yet measuredYoung APOE4 carriers or APOE4-knock-in mice with no apparent neurodegenerative pathology show increased brain metabolism and activity.
“Interestingly, several studies in young APOE4 carriers or in APOE4-knock-in mice with no apparent neurodegenerative pathology, revealed increased brain metabolism and activity (Filippini et al., 2009; Evans et al., 2017; Nuriel et al., 2017; Venzi et al., 2017), indicating that the APOE4 effect on brain energy metabolism may differ depending on the degree of pathology.”
From APOE genotype-dependent differences in human astrocytic energy metabolism (2025) · cites this paper as Filippini et al., 2009
Dual regression is a reliable technique which allows for the identification of group differences in the spatial and temporal features of ICNs common to the entire sample.
“Dual regression is a reliable technique which allows for the identification of group differences in the spatial and temporal features of ICNs common to the entire sample (Filippini et al., 2009; Zuo et al., 2010).”
From Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders (2019) · cites this paper as Filippini et al., 2009
Healthy young and middle-aged adult apoE4 carriers show increased DMN activation at rest.
“Healthy young and middle-aged adult apoE4 carriers show increased DMN activation at rest [179]”
From Apolipoprotein E4, inhibitory network dysfunction, and Alzheimer’s disease (2019) · cites this paper as [179]
Healthy young and middle-aged adult apoE4 carriers show increased hippocampal activation during encoding task performance.
“and increased hippocampal activation during encoding task performance [179–181]”
From Apolipoprotein E4, inhibitory network dysfunction, and Alzheimer’s disease (2019) · cites this paper as [179]
Network hyperactivity is an overarching symptom of Alzheimer's disease and is evident in human apoE4 carriers.
“Network hyperactivity is an overarching symptom of AD and is evident in human apoE4 carriers.”
From Apolipoprotein E4, inhibitory network dysfunction, and Alzheimer’s disease (2019) · cites this paper as [179]
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Cites
Nonparametric permutation tests for functional neuroimaging: A primer with examples
Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256 · see citing works
The Medial Temporal Lobe Memory System
Squire, L. R., & Zola-Morgan, S. (1991) · Science · doi:10.1126/science.1896849 · Cited by 3,282 · see citing works
Buckner, 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
Genetic associations with human longevity at the APOE and ACE loci
Schächter, F., Faure-Delanef, L., Guénot, F., Rouger, H., Froguel, P., Lesueur-Ginot, L., & Cohen, D. (1994) · Nature Genetics · doi:10.1038/ng0194-29 · Cited by 1,095 · see citing works
Robust group analysis using outlier inference
Woolrich, M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.02.042 · Cited by 504 · see citing works
Apolipoprotein E alleles, dyslipidemia, and coronary heart disease. The Framingham Offspring Study
Wilson, P. W. F. (1994) · JAMA · doi:10.1001/jama.1994.03520210050031 · Cited by 468 · see citing works
Alzheimer's Neurofibrillary Changes: A Topographic Study
HIRANO, A. (1962) · Archives of Neurology · doi:10.1001/archneur.1962.04210030065009 · Cited by 402 · see citing works
fMRI evidence of compensatory mechanisms in older adults at genetic risk for Alzheimer disease
Bondi, M. W., Houston, W. S., Eyler, L. T., & Brown, G. G. (2005) · Neurology · doi:10.1212/01.wnl.0000150885.00929.7e · Cited by 372 · see citing works
Sun, Y., Wu, S., Bu, G., Onifade, M. K., Patel, S. N., LaDu, M. J., Fagan, A. M., & Holtzman, D. M. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-09-03261.1998 · Cited by 213 · see citing works
APOE related alterations in cerebral activation even at college age
Scarmeas, N. (2005) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2004.053645 · Cited by 97 · see citing works
ApoE isoform-specific effects on LTP: blockade by oligomeric amyloid-β1–42
Trommer, B. L., Shah, C., Yun, S. H., Gamkrelidze, G., Pasternak, E. S., Blaine Stine, W., Manelli, A., Sullivan, P., Pasternak, J. F., & LaDu, M. J. (2005) · Neurobiology of Disease · doi:10.1016/j.nbd.2004.08.011 · Cited by 82 · see citing works
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Research works printed but not linked: 47
- [1]Mahley RW, Rall SC., Jr Apolipoprotein E: Far more than a lipid transport protein. Annu Rev Genomics Hum Genet. 2000;1:507–537. doi: 10.1146/annurev.genom.1.1.507. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- [2]Mahley RW. Apolipoprotein E: Cholesterol transport protein with expanding role in cell biology. Science. 1988;240:622–630. doi: 10.1126/science.3283935. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- [3]Lenzen HJ, Assmann G, Buchwalsky R, Schulte H. Association of apolipoprotein E polymorphism, low-density lipoprotein cholesterol, and coronary artery disease. Clin Chem. 1986;32:778–781. [PubMed] [Google Scholar]
- [4]Okuizumi K, et al. ApoE-epsilon 4 and early-onset Alzheimer's. Nat Genet. 1994;7:10–11. doi: 10.1038/ng0594-10b. [DOI] [PubMed] [Google Scholar] · DOI
- [5]Strittmatter WJ, et al. Binding of human apolipoprotein E to synthetic amyloid beta peptide: Isoform-specific effects and implications for late-onset Alzheimer disease. Proc Natl Acad Sci USA. 1993;90:8098–8102. doi: 10.1073/pnas.90.17.8098. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- [6]Teasdale GM, Nicoll JA, Murray G, Fiddes M. Association of apolipoprotein E polymorphism with outcome after head injury. Lancet. 1997;350:1069–1071. doi: 10.1016/S0140-6736(97)04318-3. [DOI] [PubMed] [Google Scholar] · DOI
- [7]Deary IJ, et al. Cognitive change and the APOE epsilon 4 allele. Nature. 2002;418:932. doi: 10.1038/418932a. [DOI] [PubMed] [Google Scholar] · DOI
- [8]Wishart HA, et al. Regional brain atrophy in cognitively intact adults with a single APOE epsilon4 allele. Neurology. 2006;67:1221–1224. doi: 10.1212/01.wnl.0000238079.00472.3a. [DOI] [PubMed] [Google Scholar] · DOI
- [9]Reiman EM, et al. Preclinical evidence of Alzheimer's disease in persons homozygous for the epsilon 4 allele for apolipoprotein E. N Engl J Med. 1996;334:752–758. doi: 10.1056/NEJM199603213341202. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- [10]Small GW, et al. Cerebral metabolic and cognitive decline in persons at genetic risk for Alzheimer's disease. Proc Natl Acad Sci USA. 2000;97:6037–6042. doi: 10.1073/pnas.090106797. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- [11]Reiman EM, et al. Functional brain abnormalities in young adults at genetic risk for late-onset Alzheimer's dementia. Proc Natl Acad Sci USA. 2004;101:284–289. doi: 10.1073/pnas.2635903100. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- [12]Bookheimer SY, et al. Patterns of brain activation in people at risk for Alzheimer's disease. N Engl J Med. 2000;343:450–456. doi: 10.1056/NEJM200008173430701. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- [13]Burggren AC, Small GW, Sabb FW, Bookheimer SY. Specificity of brain activation patterns in people at genetic risk for Alzheimer disease. Am J Geriatr Psychiatry. 2002;10:44–51. [PubMed] [Google Scholar]
- [15]Wishart HA, et al. Increased brain activation during working memory in cognitively intact adults with the APOE epsilon4 allele. Am J Psychiatry. 2006;163:1603–1610. doi: 10.1176/ajp.2006.163.9.1603. [DOI] [PubMed] [Google Scholar] · DOI
- [16]Fleisher AS, et al. Identification of Alzheimer disease risk by functional magnetic resonance imaging. Arch Neurol. 2005;62:1881–1888. doi: 10.1001/archneur.62.12.1881. [DOI] [PubMed] [Google Scholar] · DOI
- [17]Mondadori CR, et al. Better memory and neural efficiency in young apolipoprotein E epsilon4 carriers. Cereb Cortex. 2007;17:1934–1947. doi: 10.1093/cercor/bhl103. [DOI] [PubMed] [Google Scholar] · DOI
- [18]Filbey FM, Slack KJ, Sunderland TP, Cohen RM. Functional magnetic resonance imaging and magnetoencephalography differences associated with APOEepsilon4 in young healthy adults. NeuroReport. 2006;17:1585–1590. doi: 10.1097/01.wnr.0000234745.27571.d1. [DOI] [PubMed] [Google Scholar] · DOI
- [19]Shaw P, et al. Cortical morphology in children and adolescents with different apolipoprotein E gene polymorphisms: An observational study. Lancet Neurol. 2007;6:494–500. doi: 10.1016/S1474-4422(07)70106-0. [DOI] [PubMed] [Google Scholar] · DOI
- [21]Raichle ME, et al. A default mode of brain function. Proc Natl Acad Sci USA. 2001;98:676–682. doi: 10.1073/pnas.98.2.676. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- [22]Boly M, et al. Intrinsic brain activity in altered states of consciousness: How conscious is the default mode of brain function? Ann NY Acad Sci. 2008;1129:119–129. doi: 10.1196/annals.1417.015. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- [24]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 USA. 2004;101:4637–4642. doi: 10.1073/pnas.0308627101. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- [25]Sorg C, et al. Selective changes of resting-state networks in individuals at risk for Alzheimer's disease. Proc Natl Acad Sci USA. 2007;104:18760–18765. doi: 10.1073/pnas.0708803104. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- [27]Andersen OM, Willnow TE. Lipoprotein receptors in Alzheimer's disease. Trends Neurosci. 2006;29:687–694. doi: 10.1016/j.tins.2006.09.002. [DOI] [PubMed] [Google Scholar] · DOI
- [29]Tulving E, Markowitsch HJ, Kapur S, Habib R, Houle S. Novelty encoding networks in the human brain: Positron emission tomography data. NeuroReport. 1994;5:2525–2528. doi: 10.1097/00001756-199412000-00030. [DOI] [PubMed] [Google Scholar] · DOI
- [30]Oakes TR, et al. Integrating VBM into the General Linear Model with voxelwise anatomical covariates. NeuroImage. 2007;34:500–508. doi: 10.1016/j.neuroimage.2006.10.007. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- [31]Beckmann CF, DeLuca M, Devlin JT, Smith SM. Investigations into resting-state connectivity using independent component analysis. Philos Trans R Soc London B. 2005;360:1001–1013. doi: 10.1098/rstb.2005.1634. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- [32]Golby A, et al. Memory encoding in Alzheimer's disease: An fMRI study of explicit and implicit memory. Brain. 2005;128(Pt 4):773–787. doi: 10.1093/brain/awh400. [DOI] [PubMed] [Google Scholar] · DOI
- [33]Douaud G, et al. Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia. Brain. 2007;130(Pt 9):2375–2386. doi: 10.1093/brain/awm184. [DOI] [PubMed] [Google Scholar] · DOI
- [34]Gabrieli JD, Brewer JB, Desmond JE, Glover GH. Separate neural bases of two fundamental memory processes in the human medial temporal lobe. Science. 1997;276:264–266. doi: 10.1126/science.276.5310.264. [DOI] [PubMed] [Google Scholar] · DOI
- [35]Shohamy D, Wagner AD. Integrating memories in the human brain: Hippocampal-midbrain encoding of overlapping events. Neuron. 2008;60:378–389. doi: 10.1016/j.neuron.2008.09.023. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- [36]Andreasen NC, et al. Short-term and long-term verbal memory: A positron emission tomography study. Proc Natl Acad Sci USA. 1995;92:5111–5115. doi: 10.1073/pnas.92.11.5111. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- [37]Fliessbach K, Trautner P, Quesada CM, Elger CE, Weber B. Cerebellar contributions to episodic memory encoding as revealed by fMRI. NeuroImage. 2007;35:1330–1337. doi: 10.1016/j.neuroimage.2007.02.004. [DOI] [PubMed] [Google Scholar] · DOI
- [38]Buxton RB, Uludag K, Dubowitz DJ, Liu TT. Modeling the hemodynamic response to brain activation. NeuroImage. 2004;23(Suppl 1):S220–S233. doi: 10.1016/j.neuroimage.2004.07.013. [DOI] [PubMed] [Google Scholar] · DOI
- [39]Brown GG, et al. BOLD and perfusion response to finger-thumb apposition after acetazolamide administration: Differential relationship to global perfusion. J Cereb Blood Flow Metab. 2003;23:829–837. doi: 10.1097/01.WCB.0000071887.63724.B2. [DOI] [PubMed] [Google Scholar] · DOI
- [40]Fleisher AS, et al. Cerebral perfusion and oxygenation differences in Alzheimer's disease risk. Neurobiol Aging. 2008 doi: 10.1016/j.neurobiolaging.2008.01.012. in press. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- [41]Arendt T, et al. Plastic neuronal remodeling is impaired in patients with Alzheimer's disease carrying apolipoprotein epsilon 4 allele. J Neurosci. 1997;17:516–529. doi: 10.1523/JNEUROSCI.17-02-00516.1997. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- [42]Masliah E, et al. Neurodegeneration in the central nervous system of apoE-deficient mice. Exp Neurol. 1995;136:107–122. doi: 10.1006/exnr.1995.1088. [DOI] [PubMed] [Google Scholar] · DOI
- [43]Buttini M, et al. Expression of human apolipoprotein E3 or E4 in the brains of Apoe−/− mice: Isoform-specific effects on neurodegeneration. J Neurosci. 1999;19:4867–4880. doi: 10.1523/JNEUROSCI.19-12-04867.1999. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- [45]Bellosta S, et al. Stable expression and secretion of apolipoproteins E3 and E4 in mouse neuroblastoma cells produces differential effects on neurite outgrowth. J Biol Chem. 1995;270:27063–27071. doi: 10.1074/jbc.270.45.27063. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- [47]Yun SH, et al. Blockade of nicotinic acetylcholine receptors suppresses hippocampal long-term potentiation in wild-type but not ApoE4 targeted replacement mice. J Neurosci Res. 2005;82:771–777. doi: 10.1002/jnr.20684. [DOI] [PubMed] [Google Scholar] · DOI
- [48]Bliss TV, Collingridge GL. A synaptic model of memory: Long-term potentiation in the hippocampus. Nature. 1993;361:31–39. doi: 10.1038/361031a0. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- [49]Williams JH, Errington ML, Lynch MA, Bliss TV. Arachidonic acid induces a long-term activity-dependent enhancement of synaptic transmission in the hippocampus. Nature. 1989;341:739–742. doi: 10.1038/341739a0. [DOI] [PubMed] [Google Scholar] · DOI
- [50]Sanchez-Mejia RO, et al. Phospholipase A2 reduction ameliorates cognitive deficits in a mouse model of Alzheimer's disease. Nat Neurosci. 2008;11:1311–1318. doi: 10.1038/nn.2213. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- [51]Menzel HJ, Kladetzky RG, Assmann G. Apolipoprotein E polymorphism and coronary artery disease. Arteriosclerosis. 1983;3:310–315. doi: 10.1161/01.atv.3.4.310. [DOI] [PubMed] [Google Scholar] · DOI
- [52]Benjamin R, et al. Apolipoprotein E genes in Lewy body and Parkinson's disease. Lancet. 1994;343:1565. doi: 10.1016/s0140-6736(94)92961-0. [DOI] [PubMed] [Google Scholar] · DOI
- [56]Woolrich MW, Behrens TE, Beckmann CF, Jenkinson M, Smith SM. Multilevel linear modelling for FMRI group analysis using Bayesian inference. NeuroImage. 2004;21:1732–1747. doi: 10.1016/j.neuroimage.2003.12.023. [DOI] [PubMed] [Google Scholar] · DOI
- [58]MacIntosh BJ, et al. Measuring the effects of remifentanil on cerebral blood flow and arterial arrival time using 3D GRASE MRI with pulsed arterial spin labelling. J Cereb Blood Flow Metab. 2008;28:1514–1522. doi: 10.1038/jcbfm.2008.46. [DOI] [PubMed] [Google Scholar] · DOI
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Self-citationJack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396 · see citing works
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Smith, S. M., Nichols, T. E., Vidaurre, D., Winkler, A. M., Behrens, T. E. J., Glasser, M. F., Ugurbil, K., Barch, D. M., Van Essen, D. C., & Miller, K. L. (2015) · Nature Neuroscience · doi:10.1038/nn.4125 · Cited by 859 · see citing works
Self-citationHippocampal GABAergic Inhibitory Interneurons
Pelkey, K. A., Chittajallu, R., Craig, M. T., Tricoire, L., Wester, J. C., & McBain, C. J. (2017) · Physiological Reviews · doi:10.1152/physrev.00007.2017 · Cited by 889 · see citing works
Brain Imaging in Alzheimer Disease
Johnson, K. A., Fox, N. C., Sperling, R. A., & Klunk, W. E. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006213 · Cited by 875 · see citing works
Neuronal activity regulates the regional vulnerability to amyloid-β deposition
Bero, A. W., Yan, P., Roh, J. H., Cirrito, J. R., Stewart, F. R., Raichle, M. E., Lee, J.-M., & Holtzman, D. M. (2011) · Nature Neuroscience · doi:10.1038/nn.2801 · Cited by 880 · see citing works
Apolipoprotein E in Alzheimer’s disease and other neurological disorders
Verghese, P. B., Castellano, J. M., & Holtzman, D. M. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70325-2 · Cited by 857 · see citing works
Apolipoprotein E: Structure and function in lipid metabolism, neurobiology, and Alzheimer’s diseases
Huang, Y., & Mahley, R. W. (2014) · Neurobiology of Disease · doi:10.1016/j.nbd.2014.08.025 · Cited by 829 · see citing works
On the relationship between the “default mode network” and the “social brain
Mars, R. B., Neubert, F.-X., Noonan, M. P., Sallet, J., Toni, I., & Rushworth, M. F. S. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00189 · Cited by 766 · see citing works
Leech, R., Kamourieh, S., Beckmann, C. F., & Sharp, D. J. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5626-10.2011 · Cited by 759 · see citing works
Self-citationZuo, X.-N., Kelly, C., Adelstein, J. S., Klein, D. F., Castellanos, F. X., & Milham, M. P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.080 · Cited by 744 · see citing works
Whole brain resting-state analysis reveals decreased functional connectivity in major depression
Veer, I. M. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00041 · Cited by 753 · see citing works
The Evolution of Preclinical Alzheimer’s Disease: Implications for Prevention Trials
Sperling, R., Mormino, E., & Johnson, K. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.038 · Cited by 725 · see citing works
Intrinsic brain connectivity in fibromyalgia is associated with chronic pain intensity
Napadow, V., LaCount, L., Park, K., As‐Sanie, S., Clauw, D. J., & Harris, R. E. (2010) · Arthritis & Rheumatism · doi:10.1002/art.27497 · Cited by 645 · see citing works
Memory loss in Alzheimer's disease
Jahn, H. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.4/hjahn · Cited by 653 · see citing works
Salience Network–Based Classification and Prediction of Symptom Severity in Children With Autism
Uddin, L. Q., Supekar, K., Lynch, C. J., Khouzam, A., Phillips, J., Feinstein, C., Ryali, S., & Menon, V. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.104 · Cited by 621 · see citing works
Imaging the evolution and pathophysiology of Alzheimer disease
Jagust, W. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0067-3 · Cited by 604 · see citing works
Reiman, E. M., Quiroz, Y. T., Fleisher, A. S., Chen, K., Velez-Pardo, C., Jimenez-Del-Rio, M., Fagan, A. M., Shah, A. R., Alvarez, S., Arbelaez, A., et al. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70228-4 · Cited by 541 · see citing works
Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI
Pruim, R. H. R., Mennes, M., Buitelaar, J. K., & Beckmann, C. F. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.063 · Cited by 487 · see citing works
Self-citationGenetic control over the resting brain
Glahn, D. C., Winkler, A. M., Kochunov, P., Almasy, L., Duggirala, R., Carless, M. A., Curran, J. C., Olvera, R. L., Laird, A. R., Smith, S. M., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0909969107 · Cited by 450 · see citing works
Self-citationIntegrated strategy for improving functional connectivity mapping using multiecho fMRI
Kundu, P., Brenowitz, N. D., Voon, V., Worbe, Y., Vértes, P. E., Inati, S. J., Saad, Z. S., Bandettini, P. A., & Bullmore, E. T. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1301725110 · Cited by 399 · see citing works
The organization of dorsal frontal cortex in humans and macaques
Sallet, J., Mars, R. B., Noonan, M. P., Neubert, F.-X., Jbabdi, S., O'Reilly, J. X., Filippini, N., Thomas, A. G., & Rushworth, M. F. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5108-12.2013 · Cited by 416 · see citing works
Self-citationAlzheimer's disease: connecting findings from graph theoretical studies of brain networks
Tijms, B. M., Wink, A. M., de Haan, W., van der Flier, W. M., Stam, C. J., Scheltens, P., & Barkhof, F. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.02.020 · Cited by 416 · see citing works
Apolipoprotein E in Alzheimer's Disease: An Update
Yu, J.-T., Tan, L., & Hardy, J. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-014300 · Cited by 394 · see citing works
The future of fMRI connectivity
Smith, S. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.022 · Cited by 355 · see citing works
Self-citationLinked independent component analysis for multimodal data fusion
Groves, A. R., Beckmann, C. F., Smith, S. M., & Woolrich, M. W. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.073 · Cited by 319 · see citing works
Self-citationSchultz, A. P., Chhatwal, J. P., Hedden, T., Mormino, E. C., Hanseeuw, B. J., Sepulcre, J., Huijbers, W., LaPoint, M., Buckley, R. F., Johnson, K. A., et al. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3263-16.2017 · Cited by 330 · see citing works
Andrews-Zwilling, Y., Bien-Ly, N., Xu, Q., Li, G., Bernardo, A., Yoon, S. Y., Zwilling, D., Yan, T. X., Chen, L., & Huang, Y. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.4040-10.2010 · Cited by 326 · see citing works
Clinical applications of the functional connectome
Castellanos, F. X., Di Martino, A., Craddock, R. C., Mehta, A. D., & Milham, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.083 · Cited by 312 · see citing works
The Default Mode Network in Healthy Aging and Alzheimer′s Disease
Mevel, K., Chételat, G., Eustache, F., & Desgranges, B. (2011) · International Journal of Alzheimer’s Disease · doi:10.4061/2011/535816 · Cited by 302 · see citing works
Developmental changes in large-scale network connectivity in autism
Nomi, J. S., & Uddin, L. Q. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.02.024 · Cited by 274 · see citing works
Dysmaturation of the default mode network in autism
Washington, S. D., Gordon, E. M., Brar, J., Warburton, S., Sawyer, A. T., Wolfe, A., Mease‐Ference, E. R., Girton, L., Hailu, A., Mbwana, J., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22252 · Cited by 269 · see citing works
Fernandez, C. G., Hamby, M. E., McReynolds, M. L., & Ray, W. J. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00014 · Cited by 277 · see citing works
Dean, D. C., Jerskey, B. A., Chen, K., Protas, H., Thiyyagura, P., Roontiva, A., O'Muircheartaigh, J., Dirks, H., Waskiewicz, N., Lehman, K., et al. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2013.4544 · Cited by 263 · see citing works
Stonehouse, W., Conlon, C. A., Podd, J., Hill, S. R., Minihane, A. M., Haskell, C., & Kennedy, D. (2013) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.112.053371 · Cited by 252 · see citing works
Hohenfeld, C., Werner, C. J., & Reetz, K. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2018.03.013 · Cited by 232 · see citing works
Ungar, L., Altmann, A., & Greicius, M. D. (2014) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9272-x · Cited by 246 · see citing works
Is Alzheimer’s disease a systemic disease?
Morris, J. K., Honea, R. A., Vidoni, E. D., Swerdlow, R. H., & Burns, J. M. (2014) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2014.04.012 · Cited by 219 · see citing works
Default Network Modulation and Large-Scale Network Interactivity in Healthy Young and Old Adults
Spreng, R. N., & Schacter, D. L. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr339 · Cited by 214 · see citing works
ApoE4 Decreases Spine Density and Dendritic Complexity in Cortical Neurons<i>In Vivo</i>
Dumanis, S. B., Tesoriero, J. A., Babus, L. W., Nguyen, M. T., Trotter, J. H., Ladu, M. J., Weeber, E. J., Turner, R. S., Xu, B., Rebeck, G. W., et al. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4026-09.2009 · Cited by 220 · see citing works
Lifespan brain activity, β-amyloid, and Alzheimer's disease
Jagust, W. J., & Mormino, E. C. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.09.004 · Cited by 221 · see citing works
Fleisher, A. S., Sherzai, A., Taylor, C., Langbaum, J. B. S., Chen, K., & Buxton, R. B. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.021 · Cited by 217 · see citing works
Morris, G. P., Clark, I. A., & Vissel, B. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1918-8 · Cited by 212 · see citing works
Mapping the mouse brain with rs-fMRI: an optimized pipeline for functional network identification
Zerbi, V., Grandjean, J., Rudin, M., & Wenderoth, N. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.090 · Cited by 178 · see citing works
Temporal lobe functional activity and connectivity in young adult <i>APOE</i> ɛ4 carriers
Dennis, N. A., Browndyke, J. N., Stokes, J., Need, A., Burke, J. R., Welsh‐Bohmer, K. A., & Cabeza, R. (2010) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2009.07.003 · Cited by 201 · see citing works
Alterations of the salience network in obesity: A resting‐state fMRI study
García‐García, I., Jurado, M. Á., Garolera, M., Segura, B., Sala‐Llonch, R., Marqués‐Iturria, I., Pueyo, R., Sender‐Palacios, M. J., Vernet‐Vernet, M., Narberhaus, A., et al. (2013) · Human Brain Mapping · doi:10.1002/hbm.22104 · Cited by 200 · see citing works
Tyszka, J. M., Kennedy, D. P., Paul, L. K., & Adolphs, R. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht040 · Cited by 187 · see citing works
Apolipoprotein E4, inhibitory network dysfunction, and Alzheimer’s disease
Najm, R., Jones, E. A., & Huang, Y. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0324-6 · Cited by 183 · see citing works
Suri, S., Heise, V., Trachtenberg, A. J., & Mackay, C. E. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.10.010 · Cited by 183 · see citing works
Self-citationNuriel, T., Angulo, S. L., Khan, U., Ashok, A., Chen, Q., Figueroa, H. Y., Emrani, S., Liu, L., Herman, M., Barrett, G., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01444-0 · Cited by 181 · see citing works
A comprehensive study of whole-brain functional connectivity in children and young adults
Jolles, D. D., van Buchem, M. A., Crone, E. A., & Rombouts, S. A. R. B. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq104 · Cited by 181 · see citing works
Akeju, O., Loggia, M. L., Catana, C., Pavone, K. J., Vazquez, R., Rhee, J., Contreras Ramirez, V., Chonde, D. B., Izquierdo-Garcia, D., Arabasz, G., et al. (2014) · eLife · doi:10.7554/elife.04499 · Cited by 168 · see citing works
The 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
Spectral characteristics of resting state networks
Niazy, R. K., Xie, J., Miller, K., Beckmann, C. F., & Smith, S. M. (2011) · Progress in brain research · doi:10.1016/b978-0-444-53839-0.00017-x · Cited by 175 · see citing works
Self-citationMore than cholesterol transporters: lipoprotein receptors in CNS function and neurodegeneration
Lane-Donovan, C., Philips, G. T., & Herz, J. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.005 · Cited by 158 · see citing works
Ossenkoppele, R., Lyoo, C. H., Jester-Broms, J., Sudre, C. H., Cho, H., Ryu, Y. H., Choi, J. Y., Smith, R., Strandberg, O., Palmqvist, S., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2019.5154 · Cited by 161 · see citing works
Resting-state networks in awake five- to eight-year old children
de Bie, H. M. A., Boersma, M., Adriaanse, S., Veltman, D. J., Wink, A. M., Roosendaal, S. D., Barkhof, F., Stam, C. J., Oostrom, K. J., Delemarre‐van de Waal, H. A., et al. (2012) · Human Brain Mapping · doi:10.1002/hbm.21280 · Cited by 143 · see citing works
The APOE ɛ4 allele modulates brain white matter integrity in healthy adults
Heise, V, Filippini, N., Ebmeier, K. P., & Mackay, C. E. (2011) · Molecular Psychiatry · doi:10.1038/mp.2010.90 · Cited by 152 · see citing works
Self-citationValla, J., Yaari, R., Wolf, A. B., Kusne, Y., Beach, T. G., Roher, A. E., Corneveaux, J. J., Huentelman, M. J., Caselli, R. J., & Reiman, E. M. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-100129 · Cited by 150 · 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
Structural Covariance of the Default Network in Healthy and Pathological Aging
Spreng, R. N., & Turner, G. R. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2261-13.2013 · Cited by 121 · see citing works
Cognitive training enhances intrinsic brain connectivity in childhood
Astle, D. E., Barnes, J. J., Baker, K., Colclough, G. L., & Woolrich, M. W. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.4517-14.2015 · Cited by 123 · see citing works
The structural and functional brain networks that support human social networks
Noonan, M. P., Mars, R. B., Sallet, J., Dunbar, R. I. M., & Fellows, L. K. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.02.019 · Cited by 131 · see citing works
Cousijn, J., Wiers, R. W., Ridderinkhof, K. R., van den Brink, W., Veltman, D. J., & Goudriaan, A. E. (2014) · Human Brain Mapping · doi:10.1002/hbm.22342 · Cited by 125 · see citing works
Cacciaglia, R., Molinuevo, J. L., Falcón, C., Brugulat‐Serrat, A., Sánchez‐Benavides, G., Gramunt, N., Esteller, M., Morán, S., Minguillón, C., Fauria, K., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.01.016 · Cited by 124 · see citing works
Tong, L. M., Djukic, B., Arnold, C., Gillespie, A. K., Yoon, S. Y., Wang, M. M., Zhang, O., Knoferle, J., Rubenstein, J. L. R., Alvarez-Buylla, A., et al. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.0693-14.2014 · Cited by 123 · see citing works
Machine-learning to characterise neonatal functional connectivity in the preterm brain
Ball, G., Aljabar, P., Arichi, T., Tusor, N., Cox, D., Merchant, N., Nongena, P., Hajnal, J. V., Edwards, A. D., & Counsell, S. J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.055 · Cited by 114 · see citing works
Non-coding variability at the APOE locus contributes to the Alzheimer’s risk
Zhou, X., Chen, Y., Mok, K. Y., Kwok, T. C. Y., Mok, V. C. T., Guo, Q., Ip, F. C., Chen, Y., Mullapudi, N., Initiative, A. D. N., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10945-z · Cited by 120 · see citing works
Khalili‐Mahani, N., Zoethout, R. M. W., Beckmann, C. F., Baerends, E., de Kam, M. L., Soeter, R. P., Dahan, A., van Buchem, M. A., van Gerven, J. M. A., & Rombouts, S. A. R. B. (2012) · Human Brain Mapping · doi:10.1002/hbm.21265 · Cited by 114 · see citing works
Self-citationYokoi, T., Watanabe, H., Yamaguchi, H., Bagarinao, E., Masuda, M., Imai, K., Ogura, A., Ohdake, R., Kawabata, K., Hara, K., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00304 · Cited by 116 · see citing works
Bagarinao, E., Watanabe, H., Maesawa, S., Mori, D., Hara, K., Kawabata, K., Yoneyama, N., Ohdake, R., Imai, K., Masuda, M., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-47922-x · Cited by 108 · see citing works
Functional connectivity in the developing brain: a longitudinal study from 4 to 9months of age
Damaraju, E., Caprihan, A., Lowe, J. R., Allen, E. A., Calhoun, V. D., & Phillips, J. P. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.038 · Cited by 103 · see citing works
“Similar model orders have been used by a number of labs (Allen et al., 2012; Damoiseaux et al., 2006; Filippini et al., 2009).”
BackgroundMethodNetwork basis of suicidal ideation in depressed adolescents
Ordaz, S. J., Goyer, M. S., Ho, T. C., Singh, M. K., & Gotlib, I. H. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.09.021 · Cited by 111 · see citing works
Apolipoprotein E4 genotype compromises brain exosome production
Peng, K. Y., Pérez-González, R., Alldred, M. J., Goulbourne, C. N., Morales-Corraliza, J., Saito, M., Saito, M., Ginsberg, S. D., Mathews, P. M., & Levy, E. (2019) · Brain · doi:10.1093/brain/awy289 · Cited by 109 · see citing works
APOE alters glucose flux through central carbon pathways in astrocytes
Williams, H. C., Farmer, B. C., Piron, M. A., Walsh, A. E., Bruntz, R. C., Gentry, M. S., Sun, R. C., & Johnson, L. A. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104742 · Cited by 105 · see citing works
Stonehouse, W. (2014) · Nutrients · doi:10.3390/nu6072730 · Cited by 105 · see citing works
Alzheimer's disease: The forgetting gene
Spinney, L. (2014) · Nature · doi:10.1038/510026a · Cited by 98 · see citing works
Igelström, K. M., Webb, T. W., & Graziano, M. S. A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw079 · Cited by 93 · see citing works
Mash, L. E., Linke, A. C., Olson, L. A., Fishman, I., Liu, T. T., & Müller, R. (2019) · Human Brain Mapping · doi:10.1002/hbm.24529 · Cited by 96 · see citing works
Zerbi, V., Ielacqua, G. D., Markicevic, M., Haberl, M. G., Ellisman, M. H., A-Bhaskaran, A., Frick, A., Rudin, M., & Wenderoth, N. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy046 · Cited by 81 · see citing works
Lee, H., Cho, S., Kim, M.-J., Park, Y. J., Cho, E., Jo, Y. S., Kim, Y.-S., Lee, J. Y., Thoudam, T., Woo, S.-H., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113183 · Cited by 93 · see citing works
Wolpe, N., Moore, J. W., Rae, C. L., Rittman, T., Altena, E., Haggard, P., & Rowe, J. B. (2014) · Brain · doi:10.1093/brain/awt302 · Cited by 86 · see citing works
- Authors
- Filippini, N., MacIntosh, B. J., Hough, M. G., Goodwin, G. M., Frisoni, G. B., Smith, S. M., Matthews, P. M., Beckmann, C. F., & Mackay, C. E.
- Affiliations
- University of Oxford (GB)
- University Department of Psychiatry and
- Centro San Giovanni di Dio Fatebenefratelli (IT)
- GlaxoSmithKline (United Kingdom) (GB)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2009-04-28
- Volume
- 106
- Issue
- 17
- Pages
- 7209-7214
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC2678478
- OpenAlex
- W2041325253
- Cited by
- 1,613
- References
- 11
- Citations by year
- 2026: 41 · 2025: 60 · 2024: 48 · 2023: 53 · 2022: 61 · 2021: 82 · 2020: 99 · 2019: 104 · 2018: 110 · 2017: 142 · 2016: 136 · 2015: 160 · 2014: 140 · 2013: 125 · 2012: 110
- FWCI
- 50.83
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- GlaxoSmithKline
- Wellcome Trust
- Engineering and Physical Sciences Research Council (EP/D001935/1)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- APOE ε4, APOE polymorphism, default mode network, resting-state brain activity, hippocampal activation, memory encoding, neurodegeneration risk
- MeSH terms
- Adult, Alleles, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Memory, Apolipoprotein E4
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