The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source doesn’t support the claim as written.
In the citing paper
“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]
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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
In the citing paper
“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
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
A synaptic model of memory: long-term potentiation in the hippocampus
Bliss, T. V. P., & Collingridge, G. L. (1993) · Nature · doi:10.1038/361031a0 · Cited by 11,566
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
Apolipoprotein E: Cholesterol Transport Protein with Expanding Role in Cell Biology
Mahley, R. W. (1988) · Science · doi:10.1126/science.3283935 · Cited by 4,028
Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684
Investigations into resting-state connectivity using independent component analysis
Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1634 · Cited by 3,398
Self-citationThe Medial Temporal Lobe Memory System
Squire, L. R., & Zola-Morgan, S. (1991) · Science · doi:10.1126/science.1896849 · Cited by 3,282
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
Apolipoprotein E: Far More Than a Lipid Transport Protein
Mahley, R. W., & Rall, S. C. (2000) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.1.1.507 · Cited by 1,836
Multilevel linear modelling for FMRI group analysis using Bayesian inference
Woolrich, M. W., Behrens, T. E. J., Beckmann, C. F., Jenkinson, M., & Smith, S. M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.12.023 · Cited by 1,719
Self-citation
Cited by
Sorted by citations
Items 501–600 of 1,003
Changes in spatial cognition and brain activity after a single dose of testosterone in healthy women
Pintzka, C. W. S., Evensmoen, H. R., Lehn, H., & Haberg, A. K. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.10.056 · Cited by 65
Structural and functional brain signatures of C9orf72 in motor neuron disease
Agosta, F., Ferraro, P. M., Riva, N., Spinelli, E. G., Domi, T., Carrera, P., Copetti, M., Falzone, Y., Ferrari, M., Lunetta, C., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.05.024 · Cited by 65
Kumral, D., Schaare, H. L., Beyer, F., Reinelt, J., Uhlig, M., Liem, F., Lampe, L., Babayan, A., Reiter, A., Erbey, M., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.027 · Cited by 64
Blautzik, J., Keeser, D., Berman, A., Paolini, M., Kirsch, V., Mueller, S., Coates, U., Reiser, M. F., Teipel, S. J., & Meindl, T. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-111970 · Cited by 64
Jasieńska, G., Ellison, P. T., Galbarczyk, A., Jasieński, M., Kalemba-Drożdż, M., Kapiszewska, M., Nenko, I., Thune, I., & Ziomkiewicz, A. (2015) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2014.2395 · Cited by 64
Fekete, T., Zach, N., Mujica-Parodi, L. R., & Turner, M. R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0085190 · Cited by 64
Effect of Memantine on Resting State Default Mode Network Activity in Alzheimerʼs Disease
Lorenzi, M., Beltramello, A., Mercuri, N. B., Canu, E., Zoccatelli, G., Pizzini, F. B., Alessandrini, F., Cotelli, M., Rosini, S., Costardi, D., et al. (2011) · Drugs & Aging · doi:10.2165/11586440-000000000-00000 · Cited by 64
Self-citationLittow, H., Huossa, V., Karjalainen, S., Jääskeläinen, E., Haapea, M., Miettunen, J., Tervonen, O. A., Isohanni, M. K., Nikkinen, J., Veijola, J. M., et al. (2015) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2015.00026 · Cited by 64
Stoffers, D., Diaz, B. A., Chen, G., den Braber, A., Ent, D. V. ‘., Boomsma, D. I., Mansvelder, H. D., de Geus, E. J. C., Someren, E. J. W. V., & Linkenkaer‐Hansen, K. (2015) · PLoS ONE · doi:10.1371/journal.pone.0142014 · Cited by 64
Global brain connectivity alterations in patients with schizophrenia and bipolar spectrum disorders
Skåtun, K. C., Kaufmann, T., Tønnesen, S., Biele, G., Melle, I. S., Agartz, I., Alnæs, D., Andreassen, O. A., & Westlye, L. T. (2016) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.150159 · Cited by 64
Functional brain networks associated with eating behaviors in obesity
Park, B., Seo, J., & Park, H. (2016) · Scientific Reports · doi:10.1038/srep23891 · Cited by 64
Foret, M. K., Orciani, C., Welikovitch, L. A., Huang, C., Cuello, A. C., & Carmo, S. D. (2024) · Communications Biology · doi:10.1038/s42003-024-06552-4 · Cited by 63
Impact of Analysis Methods on the Reproducibility and Reliability of Resting-State Networks
Franco, A. R., Mannell, M. V., Calhoun, V. D., & Mayer, A. R. (2013) · Brain Connectivity · doi:10.1089/brain.2012.0134 · Cited by 63
Vega, J. N., Hohman, T. J., Pryweller, J. R., Dykens, E. M., & Thornton‐Wells, T. A. (2015) · Brain Connectivity · doi:10.1089/brain.2014.0266 · Cited by 63
Shu, H., Shi, Y., Chen, G., Wang, Z., Liu, D., Yue, C., Ward, B. D., Li, W., Xu, Z., Chen, G., et al. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu237 · Cited by 63
The effects of APOE on brain activity do not simply reflect the risk of Alzheimer's disease
Trachtenberg, A. J., Filippini, N., Cheeseman, J., Duff, E. P., Neville, M. J., Ebmeier, K. P., Karpe, F., & Mackay, C. E. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.11.011 · Cited by 63
Self-citationThe Value of Resting-State Functional Magnetic Resonance Imaging in Stroke
Ovadia‐Caro, S., Margulies, D. S., & Villringer, A. (2014) · Stroke · doi:10.1161/strokeaha.114.003689 · Cited by 63
Differential effects of the ApoE4 genotype on brain structure and function
Matura, S., Prvulovic, D., Jurcoane, A., Hartmann, D., Miller, J., Scheibe, M., O’Dwyer, L., Oertel‐Knöchel, V., Knöchel, C., Reinke, B., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.042 · Cited by 63
Oh, H., & Jagust, W. J. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2775-13.2013 · Cited by 63
Structural and functional connectivity in traumatic brain injury
Chen, Z., Xiao, H., Yang, Y., & Xi, J.-H. (2015) · Neural Regeneration Research · doi:10.4103/1673-5374.172328 · Cited by 63
Abram, S. V., Wisner, K., Fox, J. M., Barch, D. M., Wang, L., Csernansky, J. G., MacDonald, A. W., & Smith, M. J. (2016) · Human Brain Mapping · doi:10.1002/hbm.23439 · Cited by 63
Viviani, R., Messina, I., & Walter, M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027050 · Cited by 62
Sustained deep-tissue pain alters functional brain connectivity
Kim, J., Loggia, M. L., Edwards, R. R., Wasan, A. D., Gollub, R. L., & Napadow, V. (2013) · Pain · doi:10.1016/j.pain.2013.04.016 · Cited by 62
Neuroimaging Measures as Endophenotypes in Alzheimer′s Disease
Braskie, M. N., Ringman, J. M., & Thompson, P. M. (2011) · International Journal of Alzheimer s Disease · doi:10.4061/2011/490140 · Cited by 62
Figueroa, C. A., Mocking, R. J. T., van Wingen, G. A., Martens, S., Ruhé, H. G., & Schene, A. H. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx108 · Cited by 62
Canu, E., Agosta, F., Mandic-Stojmenovic, G., Stojković, T., Stefanova, E., Inuggi, A., Imperiale, F., Copetti, M., Kostic, V. S., & Filippi, M. (2017) · NeuroImage: Clinical · doi:10.1016/j.nicl.2017.05.018 · Cited by 62
Yip, S. W., Mackay, C. E., & Goodwin, G. M. (2014) · Bipolar Disorders · doi:10.1111/bdi.12206 · Cited by 61
Self-citationGriffanti, L., Dipasquale, O., Laganà, M. M., Nemni, R., Clerici, M., Smith, S. M., Baselli, G., & Baglio, F. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00449 · Cited by 61
Self-citationJansen, J. M., van Wingen, G. A., van den Brink, W., & Goudriaan, A. E. (2015) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2015.09.019 · Cited by 61
Shumskaya, E., van Gerven, M. A. J., Norris, D. G., Vos, P. E., & Kessels, R. P. C. (2016) · Experimental Brain Research · doi:10.1007/s00221-016-4841-z · Cited by 61
A second wind for the cholinergic system in Alzheimer’s therapy
Douchamps, V., & Mathis, C. (2017) · Behavioural Pharmacology · doi:10.1097/fbp.0000000000000300 · Cited by 61
The Molecular and Neuropathological Consequences of Genetic Risk for Alzheimer's Dementia
Tasaki, S., Gaiteri, C., Mostafavi, S., Jager, P. L. D., & Bennett, D. A. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00699 · Cited by 61
Baggio, H. C., Abós, A., Segura, B., Campabadal, A., Uribe, C., Giraldo, D. M., Pérez‐Soriano, A., Muñoz, E., Compta, Y., Junqué, C., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101720 · Cited by 61
Shinohara, M., Sato, N., Shimamura, M., Kurinami, H., Hamasaki, T., Chatterjee, A., Rakugi, H., & Morishita, R. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00071 · Cited by 60
Moderating effects of music on resting state networks
Kay, B. P., Meng, X., DiFrancesco, M. W., Holland, S. K., & Szaflarski, J. P. (2012) · Brain Research · doi:10.1016/j.brainres.2012.01.064 · Cited by 60
Default mode network activity and white matter integrity in healthy middle-aged ApoE4 carriers
Patel, K. T., Stevens, M. C. G., Pearlson, G. D., Winkler, A. M., Hawkins, K. A., Skudlarski, P., & Bauer, L. O. (2012) · Brain Imaging and Behavior · doi:10.1007/s11682-012-9187-y · Cited by 60
Aberrant functional connectivity within the basal ganglia of patients with Parkinson's disease
Rolinski, M., Griffanti, L., Szewczyk‐Królikowski, K., Menke, R., Wilcock, G. K., Filippini, N., Zamboni, G., Hu, M. T. M., & Mackay, C. E. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.04.003 · Cited by 60
Self-citationCousijn, J., Vingerhoets, W. A. M., Koenders, L., de Haan, L., van den Brink, W., Wiers, R. W. H. J., & Goudriaan, A. E. (2013) · Addiction Biology · doi:10.1111/adb.12111 · Cited by 60
ICA-based artifact removal diminishes scan site differences in multi-center resting-state fMRI
Feis, R. A., Smith, S. M., Filippini, N., Douaud, G., Dopper, E. G. P., Heise, V., Trachtenberg, A. J., Swieten, J. C. V., van Buchem, M. A., Rombouts, S. A. R. B., et al. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00395 · Cited by 60
Self-citationde Water, E., Proal, E., Wang, V., Martínez-Medina, S., Schnaas, L., Téllez‐Rojo, M. M., Wright, R. O., Tang, C. Y., & Horton, M. K. (2017) · NeuroToxicology · doi:10.1016/j.neuro.2017.06.006 · Cited by 60
Cerebral perfusion changes in presymptomatic genetic frontotemporal dementia: a GENFI study
Mutsaerts, H. J. M. M., Mirza, S. S., Petr, J., Thomas, D. L., Cash, D. M., Bocchetta, M., Vita, E. D., Metcalfe, A. W. S., Shirzadi, Z., Robertson, A. D., et al. (2019) · Brain · doi:10.1093/brain/awz039 · Cited by 60
Self-citationDisambiguating brain functional connectivity
Duff, E. P., Makin, T. R., Cottaar, M., Smith, S. M., & Woolrich, M. W. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.053 · Cited by 60
Self-citationBrain network interactions in transgender individuals with gender incongruence
Uribe, C., Junqué, C., Gómez‐Gil, E., Abós, A., Mueller, S. C., & Guillamón, A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116613 · Cited by 60
Gaudio, S., Piervincenzi, C., Zobel, B. B., Montecchi, F. R., Riva, G., Carducci, F., & Quattrocchi, C. C. (2015) · Scientific Reports · doi:10.1038/srep10818 · Cited by 60
Gorges, M., Müller, H., Lulé, D. E., Ludolph, A. C., Pinkhardt, E. H., & Kassubek, J. (2013) · Brain Connectivity · doi:10.1089/brain.2013.0146 · Cited by 59
Saenger, V. M., Barrios, F. A., Martínez-Gudiño, M. D. L., & Alcauter, S. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.02.014 · Cited by 59
Goveas, J. S., Xie, C., Chen, G., Li, W., Ward, B. D., Franczak, M. B., Jones, J. L., Antuono, P., & Li, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055902 · Cited by 59
Hafkemeijer, A., Möller, C., Dopper, E. G. P., Jiskoot, L. C., van den Berg‐Huysmans, A. A., Swieten, J. C. V., van der Flier, W. M., Vrenken, H., Pijnenburg, Y. A. L., Barkhof, F., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.23081 · Cited by 59
Severe hyposmia and aberrant functional connectivity in cognitively normal Parkinson’s disease
Yoneyama, N., Watanabe, H., Kawabata, K., Bagarinao, E., Hara, K., Tsuboi, T., Tanaka, Y. R., Ohdake, R., Imai, K., Masuda, M., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0190072 · Cited by 59
Maglanoc, L. A., Landrø, N. I., Jonassen, R., Kaufmann, T., Córdova‐Palomera, A., Hilland, E., & Westlye, L. T. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.05.005 · Cited by 59
Choi, J., Jeong, B., Lee, S. W., & Go, H.-J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083516 · Cited by 58
Brain lipid metabolism, apolipoprotein E and the pathophysiology of Alzheimer's disease
Bales, K. R. (2010) · Neuropharmacology · doi:10.1016/j.neuropharm.2010.01.005 · Cited by 58
Clinical Trials in Predementia Stages of Alzheimer Disease
Pillai, J. A., & Cummings, J. L. (2013) · Medical Clinics of North America · doi:10.1016/j.mcna.2013.01.002 · Cited by 58
Battistella, G., Fuertinger, S., Fleysher, L., Ozelius, L. J., & Simonyan, K. (2016) · European Journal of Neurology · doi:10.1111/ene.13067 · Cited by 58
Intrinsic inter-network brain dysfunction correlates with symptom dimensions in late-life depression
Li, W., Wang, Y., Ward, B. D., Antuono, P., Li, S., & Goveas, J. S. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.12.011 · Cited by 58
Identifying Rodent Resting-State Brain Networks with Independent Component Analysis
Bajic, D., Craig, M. M., Mongerson, C. R., Borsook, D., & Becerra, L. R. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00685 · Cited by 58
Functional and structural neural bases of task specificity in isolated focal dystonia
Bianchi, S., Fuertinger, S., Huddleston, H. P., Frucht, S. J., & Simonyan, K. (2019) · Movement Disorders · doi:10.1002/mds.27649 · Cited by 58
Chahal, R., Kirshenbaum, J. S., Miller, J. G., Ho, T. C., & Gotlib, I. H. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.08.010 · Cited by 58
Hafkemeijer, A., Möller, C., Dopper, E. G. P., Jiskoot, L. C., van den Berg-Huysmans, A. A., van Swieten, J. C., van der Flier, W. M., Vrenken, H., Pijnenburg, Y. A. L., Barkhof, F., et al. (2016) · Journal of Alzheimer’s Disease · doi:10.3233/jad-150695 · Cited by 57
Jalilianhasanpour, R., Beheshtian, E., Sherbaf, G., Sahraian, S., & Sair, H. I. (2019) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0000000000000223 · Cited by 57
The development of regional functional connectivity in preterm infants into early childhood
Lee, W., Morgan, B. R., Shroff, M. M., Sled, J. G., & Taylor, M. J. (2013) · Neuroradiology · doi:10.1007/s00234-013-1232-z · Cited by 57
Functional magnetic resonance imaging as a dynamic candidate biomarker for Alzheimer's disease
Prvulovic, D., Bokde, A. L. W., Faltraco, F., & Hampel, H. J. (2011) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2011.05.008 · Cited by 57
Hampel, H. J. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-129003 · Cited by 57
Parra, M. A., Pattan, V., Wong, D., Beaglehole, A., Lonie, J. A., Wan, H. I., Honey, G. D., Hall, J., Whalley, H. C., & Lawrie, S. M. (2013) · BMC Psychiatry · doi:10.1186/1471-244x-13-76 · Cited by 57
Altered resting state connectivity in right side frontoparietal network in primary insomnia patients
Li, S., Tian, J., Li, M., Wang, T., Lin, C., Yin, Y., Zeng, L., Li, C., & Jiang, G. (2017) · European Radiology · doi:10.1007/s00330-017-5012-8 · Cited by 57
Misaki, M., Phillips, R., Zotev, V. S., Wong, C. K., Wurfel, B. E., Krüeger, F., Feldner, M. T., & Bodurka, J. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.10.032 · Cited by 57
Grandjean, J., Buehlmann, D., Buerge, M., Sigrist, H., Seifritz, E., Vollenweider, F. X., Pryce, C. R., & Rudin, M. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117456 · Cited by 57
Larramona-Arcas, R., González-Arias, C., Perea, G., Gutiérrez, A., Vitorica, J., García-Barrera, T., Gómez-Ariza, J. L., Pascua-Maestro, R., Ganfornina, M. D., Kara, E., et al. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00382-8 · Cited by 56
Neuroimaging in aging and neurologic diseases
Risacher, S. L., & Saykin, A. J. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804766-8.00012-1 · Cited by 56
Yang, A. C., Huang, C., Liu, M., Liou, Y.-J., Hong, C., Lo, M., Huang, N. E., Peng, C., Lin, C., & Tsai, S. (2013) · Human Brain Mapping · doi:10.1002/hbm.22398 · Cited by 56
Resting-State Functional Connectivity in Patients with Long-Term Remission of Cushing’s Disease
van der Werff, S. J. A., Pannekoek, J. N., Andela, C. D., Meijer, O. C., van Buchem, M. A., Rombouts, S. A. R. B., van der Mast, R. C., Biermasz, N. R., Pereira, A. M., & van der Wee, N. J. A. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.38 · Cited by 56
Magnetic Resonance Imaging to Visualize Stroke and Characterize Stroke Recovery: A Review
MacIntosh, B. J., & Graham, S. J. (2013) · Frontiers in Neurology · doi:10.3389/fneur.2013.00060 · Cited by 56
Self-citationDefault mode functional connectivity is associated with social functioning in schizophrenia.
Fox, J. M., Abram, S. V., Reilly, J. L., Eack, S. M., Goldman, M. B., Csernansky, J. G., Wang, L., & Smith, M. J. (2017) · Journal of Abnormal Psychology · doi:10.1037/abn0000253 · Cited by 56
APOE genotype affects the pre‐synaptic compartment of glutamatergic nerve terminals
Dumanis, S. B., DiBattista, A. M., Miessau, M., Moussa, C. E. H., & Rebeck, G. W. (2013) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2012.07908.x · Cited by 55
Dipasquale, O., Griffanti, L., Clerici, M., Nemni, R., Baselli, G., & Baglio, F. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00043 · Cited by 55
Song, Z., Insel, P. S., Buckley, S. T., Yohannes, S., Mezher, A. F., Simonson, A., Wilkins, S., Tosun, D., Mueller, S. G., Kramer, J. H., et al. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2092-14.2015 · Cited by 55
Selective Vulnerability Related to Aging in Large-Scale Resting Brain Networks
Zhang, H., Chen, W., Jiao, Y., Xu, Y. Q., Zhang, X., & Wu, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0108807 · Cited by 55
Altered intrinsic functional connectivity of the salience network in childhood absence epilepsy
Luo, C., Yang, T., Tu, S., Deng, J., Liu, D., Li, Q., Dong, L., Goldberg, I., Gong, Q., Zhang, D., et al. (2014) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2014.02.016 · Cited by 55
Mankinen, K., Jalovaara, P., Paakki, J., Harila, M. J., Rytky, S., Tervonen, O. A., Nikkinen, J., Starck, T., Remes, J. J., Rantala, H., et al. (2012) · Epilepsy Research · doi:10.1016/j.eplepsyres.2012.02.010 · Cited by 55
Boosting Norepinephrine Transmission Triggers Flexible Reconfiguration of Brain Networks at Rest
Guedj, C., Monfardini, E., Reynaud, A. J., Farnè, A., Meunier, M., & Hadj‐Bouziane, F. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw262 · Cited by 55
Chahine, G., Richter, A., Wolter, S., Goya‐Maldonado, R., & Gruber, O. (2016) · Human Brain Mapping · doi:10.1002/hbm.23477 · Cited by 55
Emotional intelligence is associated with connectivity within and between resting state networks
Killgore, W. D. S., Smith, R. S., Olson, E. A., Weber, M., Rauch, S. L., & Nickerson, L. D. H. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx088 · Cited by 55
Dynamic functional reorganizations and relationship with working memory performance in healthy aging
Sala-Llonch, R., Arenaza-Urquijo, E. M., Valls-Pedret, C., Vidal-Piñeiro, D., Bargalló, N., Junqué, C., & Bartrés-Faz, D. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00152 · Cited by 54
Structural and Functional Cerebral Correlates of Hypnotic Suggestibility
Huber, A., Lui, F., Duzzi, D., Pagnoni, G., & Porro, C. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0093187 · Cited by 54
Functional Connectivity Changes and Executive and Social Problems in Neurofibromatosis Type I
Loitfelder, M., Huijbregts, S. C. J., Veer, I. M., Swaab, H., van Buchem, M. A., Schmidt, R., & Rombouts, S. A. R. B. (2015) · Brain Connectivity · doi:10.1089/brain.2014.0334 · Cited by 54
Hayes, J. M., Tang, L., Viviano, R. P., van Rooden, S., Ofen, N., & Damoiseaux, J. S. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.08.015 · Cited by 54
Altered Resting-State Functional Connectivity Between Awake and Isoflurane Anesthetized Marmosets
Hori, Y., Schaeffer, D. J., Gilbert, K. M., Hayrynen, L. K., Cléry, J. C., Gati, J. S., Menon, R. S., & Everling, S. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa168 · Cited by 54
Functional neuroimaging findings in healthy middle-aged adults at risk of Alzheimer’s disease
Habib, M., Mak, E., Gabel, S., Su, L., Williams, G., Waldman, A., Wells, K., Ritchie, K., Ritchie, C., & O’Brien, J. T. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.03.004 · Cited by 53
Polygenic Risk of Spasmodic Dysphonia is Associated With Vulnerable Sensorimotor Connectivity
Putzel, G., Battistella, G., Rumbach, A. F., Ozelius, L. J., Sabuncu, M. R., & Simonyan, K. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw363 · Cited by 53
Bolo, N. R., Musen, G., Simonson, D. C., Nickerson, L. D. H., Flores, V. L., Siracusa, T., Hager, B. M., Lyoo, I. K., Renshaw, P. F., & Jacobson, A. M. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0319-15.2015 · Cited by 53
Altered striatal and pallidal connectivity in cervical dystonia
Delnooz, C. C. S., Pasman, J. W., Beckmann, C. F., & van de Warrenburg, B. P. C. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0671-y · Cited by 53
Self-citationDisordered reward processing and functional connectivity in trichotillomania: A pilot study
White, M. P., Shirer, W. R., Molfino, M. J., Tenison, C., Damoiseaux, J. S., & Greicius, M. D. (2013) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2013.05.014 · Cited by 53
Assessing uncertainty in dynamic functional connectivity
Kudela, M., Harezlak, J., & Lindquist, M. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.056 · Cited by 53
Finke, C., Zimmermann, H. G., Pache, F. C., Oertel, F. C., Chavarro, V. S., Kramarenko, Y., Bellmann–Strobl, J., Ruprecht, K., Brandt, A. U., & Paul, F. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2017.3890 · Cited by 53
Qureshi, M. N. I., Ryu, S., Song, J., Lee, K. H., & Lee, B. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00008 · Cited by 53
Klaassens, B. L., van Gerven, J., Klaassen, E. S., van der Grond, J., & Rombouts, S. A. R. B. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.05.044 · Cited by 53
Age-related decline in functional connectivity of the vestibular cortical network
Koriath, C., Boegle, R., Stephan, T., Dieterich, M., & Glasauer, S. (2015) · Brain Structure and Function · doi:10.1007/s00429-014-0983-6 · Cited by 52
Nichols, L. M., Masdeu, J. C., Mattay, V. S., Kohn, P. D., Emery, M. R., Sambataro, F., Kolachana, B. S., Elvevåg, B., Kippenhan, S., Weinberger, D. R., et al. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.1893 · Cited by 52
Resting state functional connectivity alterations in primary lateral sclerosis
Agosta, F., Canu, E., Inuggi, A., Chiò, A., Riva, N., Silani, V., Calvo, A., Messina, S., Falini, A., Comı, G., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.09.041 · Cited by 52
Bagarinao, E., Watanabe, H., Maesawa, S., Mori, D., Hara, K., Kawabata, K., Yoneyama, N., Ohdake, R., Imai, K., Masuda, M., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.014 · Cited by 52
Metadata
- 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
- 60
- 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
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
