The DOI matches its Crossref record; 56 of the 58 references it cites were found in a registry or an index.
Posterior midline and ventral parietal activity is associated with retrieval success and encoding failure
Open accessAbstract
The ventral part of lateral posterior parietal cortex (VPC) and the posterior midline region (PMR), including the posterior cingulate cortex and precuneus, tend to show deactivation during demanding cognitive tasks, and have been associated with the default mode of the brain. Interestingly, PMR and VPC activity has been associated with successful episodic retrieval but also with unsuccessful episodic encoding. However, the differential contributions of PMR and VPC to retrieval vs. encoding has never been demonstrated within-subjects and within the same experiment. Here, we directly tested the prediction that PMR and VPC activity should be associated with retrieval success but with encoding failure. Consistent with this prediction, we found across five different fMRI experiments that, during retrieval, activity in these regions is greater for hits than misses, whereas during encoding, it is greater for subsequent misses than hits. We also found that these regions overlap with the ones that show deactivations during conscious rest. Our findings further aid in clarifying the role of the default mode regions in learning and memory.
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?
In the citing paper
“Indeed, many of these retrieval-related brain regions are deactivated compared with baseline during novel encoding tasks (69), suggesting less contribution from the typical subsequent memory regions during memory updating.”
From Neural mechanisms of reactivation-induced updating that enhance and distort memory (2013) · cites this paper as [69]
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
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
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
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
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
Co-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565
McClelland, J. L., McNaughton, B. L., & O'Reilly, R. C. (1995) · Psychological Review · doi:10.1037/0033-295x.102.3.419 · Cited by 5,256
Gauthier, S. G., Reisberg, ., Zaudig, M., Petersen, R. C., Ritchie, K. A., Broich, K., Belleville, S., Brodaty, H., Bennett, D. A., Chertkow, H. M., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68542-5 · Cited by 4,094
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
Searching for a baseline: Functional imaging and the resting human brain
Gusnard, D. A., & Raichle, M. E. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094500 · Cited by 3,371
A cortical network for directed attention and unilateral neglect
Mesulam, M. ‐. (1981) · Annals of Neurology · doi:10.1002/ana.410100402 · Cited by 2,498 · cited 1×
“These subtle defi cits suggest that the role of VPC in episodic retrieval might be related to attention, which is one of the main functions attributed to this region (Cabeza, 2008; Mesulam, 1981).”
Flagged first, then by citations
2 of the 58 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 101–200 of 1,000
The Impact of Genetic Research on our Understanding of Normal Cognitive Ageing: 1995 to 2009
Payton, A. (2009) · Neuropsychology Review · doi:10.1007/s11065-009-9116-z · Cited by 95
The Teenage Brain: Cognitive Control and Motivation
Luna, B., Paulsen, D. J., Padmanabhan, A., & Geier, C. (2013) · Current Directions in Psychological Science · doi:10.1177/0963721413478416 · Cited by 92
Implicit stereotypes and the predictive brain: cognition and culture in “biased” person perception
Hinton, P. R. (2017) · Humanities and Social Sciences Communications · doi:10.1057/palcomms.2017.86 · Cited by 99
Multimodal Integration and Vividness in the Angular Gyrus During Episodic Encoding and Retrieval
Tibon, R., Fuhrmann, D., Levy, D. A., Simons, J. S., & Henson, R. N. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2102-18.2018 · Cited by 91
Schneider, C., Hunter, E. G., & Bardach, S. H. (2018) · Journal of Applied Gerontology · doi:10.1177/0733464817751198 · Cited by 100
Choking under monitoring pressure: being watched by the experimenter reduces executive attention
Belletier, C., Davranche, K., Tellier, I.-S., Dumas, F., Vidal, F., Hasbroucq, T., & Huguet, P. (2015) · Psychonomic Bulletin & Review · doi:10.3758/s13423-015-0804-9 · Cited by 95
Applying cognitive training to target executive functions during early development
Wass, S. V. (2014) · Child Neuropsychology · doi:10.1080/09297049.2014.882888 · Cited by 101
Transcranial magnetic stimulation in cognitive rehabilitation
Miniussi, C., & Rossini, P. M. (2011) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2011.562689 · Cited by 94
Behavioural facilitation following brain stimulation: Implications for neurorehabilitation
Vallar, G., & Bolognini, N. (2011) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2011.574050 · Cited by 93
Favila, S. E., Samide, R., Sweigart, S. C., & Kuhl, B. A. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0564-18.2018 · Cited by 99
Maintained Physical Activity Induced Changes in Delay Discounting
Sofis, M. J., Carrillo, A., & Jarmolowicz, D. P. (2016) · Behavior Modification · doi:10.1177/0145445516685047 · Cited by 92
Correspondences among pupillary dilation response, subjective salience of sounds, and loudness
Liao, H., Kidani, S., Yoneya, M., Kashino, M., & Furukawa, S. (2015) · Psychonomic Bulletin & Review · doi:10.3758/s13423-015-0898-0 · Cited by 90
Brain substrates of behavioral programs associated with self-regulation
Tops, M. (2010) · Frontiers in Psychology · doi:10.3389/fpsyg.2010.00152 · Cited by 89
Reconstructing Perceived and Retrieved Faces from Activity Patterns in Lateral Parietal Cortex
Lee, H., & Kuhl, B. A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4286-15.2016 · Cited by 90
Disconnection between the default mode network and medial temporal lobes in post-traumatic amnesia
Simoni, S. D., Grover, P. J., Jenkins, P. O., Honeyfield, L., Quest, R. A., Ross, E., Scott, G., Wilson, M. H., Majewska, P., Waldman, A. D., et al. (2016) · Brain · doi:10.1093/brain/aww241 · Cited by 90
Neural correlates of testing effects in vocabulary learning
van den Broek, G. S. E., Takashima, A., Segers, E., Fernández, G., & Verhoeven, L. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.071 · Cited by 85
Predictive coding in agency detection
Andersen, M. M. (2017) · Religion Brain & Behavior · doi:10.1080/2153599x.2017.1387170 · Cited by 92
The Experience of Improvising in Organizations: A Creative Process Perspective
Fisher, C. M., & Barrett, F. J. (2018) · Academy of Management Perspectives · doi:10.5465/amp.2017.0100 · Cited by 85
Prakash, R. S., Heo, S., Voss, M. W., Patterson, B., & Kramer, A. F. (2012) · Behavioural Brain Research · doi:10.1016/j.bbr.2012.01.058 · Cited by 87
Galantucci, B., Garrod, S., & Roberts, G. (2012) · Language and Linguistics Compass · doi:10.1002/lnc3.351 · Cited by 84
Working Memory and Cross-Frequency Coupling of Neuronal Oscillations
Abubaker, M., Qasem, W. A., & Kvašňák, E. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.756661 · Cited by 88
Rajah, M. N., Languay, R., & Grady, C. L. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1690-11.2011 · Cited by 83
Response time models of delta plots with negative-going slopes
Schwarz, W., & Miller, J. O. (2012) · Psychonomic Bulletin & Review · doi:10.3758/s13423-012-0254-6 · Cited by 87
Jaiswal, N., Ray, W. J., & Slobounov, S. (2010) · Brain Research · doi:10.1016/j.brainres.2010.05.086 · Cited by 81
Takashima, A., Bakker, I., van Hell, J. G., Janzen, G., & McQueen, J. M. (2016) · Brain and Language · doi:10.1016/j.bandl.2016.05.009 · Cited by 95
Is bilingualism associated with better working memory capacity? A meta-analysis
Monnier, C., Boiché, J., Armandon, P., Baudoin, S., & Bellocchi, S. (2021) · International Journal of Bilingual Education and Bilingualism · doi:10.1080/13670050.2021.1908220 · Cited by 92
Cognitive neuroscience perspective on memory: overview and summary
Sridhar, S., Khamaj, A., & Asthana, M. K. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1217093 · Cited by 80
Development of deactivation of the default-mode network during episodic memory formation
Chai, X. J., Ofen, N., Gabrieli, J. D. E., & Whitfield, S. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.032 · Cited by 85
Kim, P., Evans, G. W., Chen, E., Miller, G. E., & Seeman, T. E. (2017) · Springer eBooks · doi:10.1007/978-3-319-47143-3_19 · Cited by 92
Brain plasticity and cognitive neurorehabilitation
Berlucchi, G. (2011) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2011.573255 · Cited by 91
TMS evidence for a selective role of the precuneus in source memory retrieval
Bonnı̀, S., Veniero, D., Mastropasqua, C., Ponzo, V., Caltagirone, C., Bozzali, M., & Koch, G. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.12.032 · Cited by 78
Optimal Grip on Affordances in Architectural Design Practices: An Ethnography
Rietveld, E., & Brouwers, A. A. (2017) · Phenomenology and the Cognitive Sciences · doi:10.1007/s11097-016-9475-x · Cited by 77
Doedens, W., & Meteyard, L. (2022) · Neuropsychology Review · doi:10.1007/s11065-021-09531-2 · Cited by 96
Jessen, S., Fiedler, L., Münte, T. F., & Obleser, J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116060 · Cited by 71
Differential repetition blindness with emotion and emotion-laden word types
Knickerbocker, H., & Altarriba, J. (2013) · Visual Cognition · doi:10.1080/13506285.2013.815297 · Cited by 67
The application of tDCS for the treatment of psychiatric diseases
Kuo, M., Chen, P. S., & Nitsche, M. A. (2017) · International Review of Psychiatry · doi:10.1080/09540261.2017.1286299 · Cited by 79
Binaural auditory beats affect long-term memory
Garcia‐Argibay, M., Germán, M. Á. S., & Avilés, J. M. R. (2017) · Psychological Research · doi:10.1007/s00426-017-0959-2 · Cited by 74
Angular Versus Curved Shapes: Correspondences and Emotional Processing
Blazhenkova, O., & Kumar, M. M. (2017) · Perception · doi:10.1177/0301006617731048 · Cited by 80
On Modality Effects in Bilingual Emotional Language Processing: Evidence from Galvanic Skin Response
Jankowiak, K., & Korpal, P. (2017) · Journal of Psycholinguistic Research · doi:10.1007/s10936-017-9552-5 · Cited by 67
Colzato, L. S., Jongkees, B. J., de Wit, M., van der Molen, M. J. W., & Steenbergen, L. (2018) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-018-0600-x · Cited by 84
RetractedChronic Stress in Children and Adolescents: A Review of Biomarkers for Use in Pediatric Research
Condon, E. M. (2018) · Biological Research For Nursing · doi:10.1177/1099800418779214 · Cited by 83
Rips, L. J. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691610393525 · Cited by 70
Selective and nonselective inhibition of competitors in picture naming
Shao, Z., Meyer, A. S., & Roelofs, A. (2013) · Memory & Cognition · doi:10.3758/s13421-013-0332-7 · Cited by 73
Exploring global trends and future directions in advertising research: A focus on consumer behavior
Alsharif, A. H., Salleh, N. Z. M., Alrawad, M., & Lutfi, A. (2023) · Current Psychology · doi:10.1007/s12144-023-04812-w · Cited by 70
Balthazar, M. L. F., de Campos, B. M., Franco, A. R., Damasceno, B. P., & Cendes, F. (2013) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2013.10.010 · Cited by 72
Singletary, W. M. (2015) · Neuropsychoanalysis · doi:10.1080/15294145.2015.1092334 · Cited by 73
Integrating culture-as-situated-cognition and neuroscience prediction models
Oyserman, D., Novin, S., Flinkenflögel, N., & Krabbendam, L. (2014) · Culture and Brain · doi:10.1007/s40167-014-0016-6 · Cited by 72
Bielczyk, N., Uithol, S., van Mourik, T., Anderson, P., Glennon, J. C., & Buitelaar, J. K. (2018) · Network Neuroscience · doi:10.1162/netn_a_00062 · Cited by 70
Gainotti, G. (2013) · Neuropsychology Review · doi:10.1007/s11065-013-9232-7 · Cited by 69
Hite, R. L., Jones, M. G., Childers, G. M., Ennes, M. E., Chesnutt, K. M., Pereyra, M., & Cayton, E. M. (2019) · Journal of Science Education and Technology · doi:10.1007/s10956-018-9764-y · Cited by 69
Do you see the “face”? Individual differences in face pareidolia
Zhou, L.-F., & Meng, M. (2020) · Journal of Pacific Rim Psychology · doi:10.1017/prp.2019.27 · Cited by 73
From pre-processing to advanced dynamic modeling of pupil data
Fink, L., Simola, J., Tavano, A., Lange, E. B., Wallot, S., & Laeng, B. (2023) · Behavior Research Methods · doi:10.3758/s13428-023-02098-1 · Cited by 80
van der Hoort, B., & Ehrsson, H. H. (2014) · Attention Perception & Psychophysics · doi:10.3758/s13414-014-0664-9 · Cited by 76
Astle, D. E., Nobre, A. C., & Scerif, G. (2010) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2010.492622 · Cited by 68
Similar patterns of neural activity predict memory function during encoding and retrieval
Kragel, J. E., Ezzyat, Y., Sperling, M. R., Gorniak, R., Worrell, G. A., Berry, B. M., Inman, C. S., Lin, J.-J., Davis, K. A., Das, S. R., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.042 · Cited by 64
Wascher, E., Reiser, J. E., Rinkenauer, G., Larra, M. F., Dreger, F. A., Schneider, D. A., Karthaus, M., Getzmann, S., Gutberlet, M., & Arnau, S. (2021) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208211007707 · Cited by 66
Semrud‐Clikeman, M., Fine, J. G., & Bledsoe, J. C. (2013) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-013-1871-2 · Cited by 79
Klein, F., Iffland, B., Schindler, S., Wabnitz, P., & Neuner, F. (2015) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-015-0361-8 · Cited by 67
Nonspatial attentional capture by previously rewarded scene semantics
Failing, M., & Theeuwes, J. (2015) · Visual Cognition · doi:10.1080/13506285.2014.990546 · Cited by 68
Evidence for distinct magnitude systems for symbolic and non-symbolic number
Sasanguie, D., Smedt, B. D., & Reynvoet, B. (2015) · Psychological Research · doi:10.1007/s00426-015-0734-1 · Cited by 73
Mole, C. D., Lappi, O., Giles, O. T., Markkula, G. M., Mars, F., & Wilkie, R. M. (2019) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720819829594 · Cited by 75
Hyatt, C. J., Calhoun, V. D., Pearlson, G. D., & Assaf, M. (2015) · Human Brain Mapping · doi:10.1002/hbm.22827 · Cited by 65
A critical review on the impact of built environment on users’ measured brain activity
Azzazy, S., Ghaffarianhoseini, A., GhaffarianHoseini, A., Naismith, N., & Doborjeh, Z. (2020) · Architectural Science Review · doi:10.1080/00038628.2020.1749980 · Cited by 64
Improving Reading to Improve Math
Glenberg, A. M., Willford, J., Gibson, B., Goldberg, A. B., & Zhu, X. (2011) · Scientific Studies of Reading · doi:10.1080/10888438.2011.564245 · Cited by 64
Chua, E. F., Hannula, D. E., & Charan Ranganath, A. (2011) · Memory · doi:10.1080/09658211.2011.633919 · Cited by 64
Comparing and Evaluating Real Time Character Engines for Virtual Environments
Gillies, M. F. P., & Spanlang, B. (2010) · PRESENCE Virtual and Augmented Reality · doi:10.1162/pres.19.2.95 · Cited by 65
Farmer, H., & Maister, L. (2017) · Social Justice Research · doi:10.1007/s11211-017-0294-1 · Cited by 72
Beyond Desire? Agency, Choice, and the Predictive Mind
Clark, A. (2020) · Australasian Journal of Philosophy · doi:10.1080/00048402.2019.1602661 · Cited by 78
Kober, S. E., Schweiger, D., Reichert, J. L., Neuper, C., & Wood, G. M. D. O. (2017) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-017-9353-5 · Cited by 63
Reward Processing in Adolescent Depression Across Neuroimaging Modalities: A Review
O’Callaghan, G., & Stringaris, A. (2019) · Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie · doi:10.1024/1422-4917/a000663 · Cited by 63
Trained athletes and cognitive function: a systematic review and meta-analysis
Logan, N. E., Henry, D. A., Hillman, C. H., & Kramer, A. F. (2022) · International Journal of Sport and Exercise Psychology · doi:10.1080/1612197x.2022.2084764 · Cited by 84
Oh, H., & Jagust, W. J. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2775-13.2013 · Cited by 63
Davis, S. W., Geib, B. R., Wing, E. A., Wang, W., Hovhannisyan, M., Monge, Z. A., & Cabeza, R. E. L. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa269 · Cited by 64
Pecukonis, M., Skwerer, D. P., Eggleston, B. A., Meyer, S., & Tager-Flusberg, H. B. (2019) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-019-04089-8 · Cited by 65
Prosaccade and Antisaccade Paradigms in Persons with Alzheimer’s Disease: A Meta-Analytic Review
Levy, N. K., Michal Lavidor, B., & Vakil, E. (2017) · Neuropsychology Review · doi:10.1007/s11065-017-9362-4 · Cited by 62
The emotional body and time perception
Droit‐Volet, S., & Gil, S. (2015) · Cognition & Emotion · doi:10.1080/02699931.2015.1023180 · Cited by 60
Diffusion MRI and its Role in Neuropsychology
Mueller, B. A., Lim, K. O., Hemmy, L. S., & Camchong, J. (2015) · Neuropsychology Review · doi:10.1007/s11065-015-9291-z · Cited by 65
Huijbers, W., Schultz, A. P., Vannini, P., McLaren, D. G., Wigman, S. E., Ward, A. M., Hedden, T., & Sperling, R. A. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00366 · Cited by 62
Browndyke, J. N., Giovanello, K. S., Petrella, J. R., Hayden, K. M., Chiba‐Falek, O., Tucker, K. A., Burke, J. R., & Welsh-Bohmer, K. A. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.12.006 · Cited by 59
Integration of “what” and “where” in frontal cortex during visual imagery of scenes
de Borst, A. W., Sack, A. T., Jansma, B. M., Esposito, F., Martino, F. D., Valente, G., Roebroeck, A. F., Salle, F. D., Goebel, R., & Formisano, E. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.005 · Cited by 59
Gamification of Learning Deactivates the Default Mode Network
Howard‐Jones, P. A., Jay, T., Mason, A., & Jones, H. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01891 · Cited by 67
Exploring the Components of Advanced Theory of Mind in Autism Spectrum Disorder
Pedreño, C., Pousa, E., Navarro, J. B., Pàmias, M., & Obiols, J. E. (2017) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-017-3156-7 · Cited by 58
Braskie, M. N., Landau, S. M., Wilcox, C. E., Taylor, S. D., O’Neil, J. P., Baker, S. L., Madison, C. M., & Jagust, W. J. (2010) · Human Brain Mapping · doi:10.1002/hbm.21081 · Cited by 60
Humiliation as an intense emotional experience: Evidence from the electro-encephalogram
Otten, M., & Jonas, K. J. (2013) · Social Neuroscience · doi:10.1080/17470919.2013.855660 · Cited by 58
Petit, G., Kornreich, C., Verbanck, P., Cimochowska, A., & Campanella, S. (2013) · Socioaffective Neuroscience & Psychology · doi:10.3402/snp.v3i0.21890 · Cited by 58
Deep Sequential Recommendation for Personalized Adaptive User Interfaces
Soh, H., Sanner, S., White, M., & Jamieson, G. A. (2017) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3025171.3025207 · Cited by 59
The Computational Origin of Representation
Piantadosi, S. T. (2020) · Minds and Machines · doi:10.1007/s11023-020-09540-9 · Cited by 71
Elsey, J. W. B. (2017) · Drug Science Policy and Law · doi:10.1177/2050324517723232 · Cited by 57
Why Do Line Drawings Work? A Realism Hypothesis
Hertzmann, A. (2020) · Perception · doi:10.1177/0301006620908207 · Cited by 56
Reasoning training in veteran and civilian traumatic brain injury with persistent mild impairment
Vas, A., Chapman, S. B., Aslan, S., Spence, J. S., Keebler, M. W., Rodriguez-Larrain, G., Rodgers, B. N., Jantz, T., Martínez, D. A., Rakic, J., et al. (2015) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2015.1044013 · Cited by 57
The neural correlates of attempting to suppress negative versus neutral memories
Butler, A. J., & James, K. H. (2010) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.10.2.182 · Cited by 57
Zhu, Y., Rodriguez-Paras, C., Rhee, J., & Mehta, R. K. (2019) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720819845275 · Cited by 57
van Wingen, G. A., Rijpkema, M., Franke, B., van Eijndhoven, P., Tendolkar, I., Verkes, R. J., Buitelaar, J. K., & Fernández, G. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.058 · Cited by 58
The Perceived Size and Shape of Objects in Peripheral Vision
Baldwin, J., Burleigh, A., Pepperell, R., & Ruta, N. (2016) · i-Perception · doi:10.1177/2041669516661900 · Cited by 56
Attention Guidance Strategies for Supporting Learning from Dynamic Visualizations
de Koning, B. B., & Jarodzka, H. (2017) · Springer eBooks · doi:10.1007/978-3-319-56204-9_11 · Cited by 56
Decreased cortical and subcortical response to inhibition control after sleep deprivation
Zhao, R., Zhang, X., Fei, N., Zhu, Y., Sun, J., Liu, P., Yang, X., & Qin, W. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9868-2 · Cited by 60
Ding, X., Bucholc, M., Wang, H., Glass, D. H., Wang, H., Clarke, D. H., Bjourson, A. J., Dowey, L. R. C., O’Kane, M., Prasad, G., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-27997-8 · Cited by 56
Altered intrinsic connectivity of the auditory cortex in congenital amusia
Lévêque, Y., Fauvel, B., Groussard, M., Caclin, A., Albouy, P., Platel, H., & Tillmann, B. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00663.2015 · Cited by 55
Exercise Improves Academic Performance
Cappelen, A. W., Charness, G., Ekström, M., Uri Gneezy, B., & Tungodden, B. (2025) · Journal of Political Economy · doi:10.1086/738251 · Cited by 60
Distinct patterns of functional and structural neuroplasticity associated with learning Morse code
Schmidt‐Wilcke, T., Rosengarth, K., Luerding, R., Bogdahn, U., & Greenlee, M. W. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.042 · Cited by 58
Metadata
- Authors
- Daselaar, S. M.
- Affiliations
- University of Amsterdam (NL)
- Corresponding author
- Daselaar, Sander M.
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2009
- Volume
- 3
- Pages
- 13-13
- ISSN
- 1662-5161 (ISSN-L)
- PMC
- PMC2726033
- OpenAlex
- W2060949646
- Cited by
- 1,501
- References
- 58
- Citations by year
- 2026: 5 · 2025: 45 · 2024: 97 · 2023: 128 · 2022: 150 · 2021: 143 · 2020: 142 · 2019: 127 · 2018: 116 · 2017: 102 · 2016: 75 · 2015: 86 · 2014: 51 · 2013: 87 · 2012: 66
- FWCI
- 23.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Human Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- UvA-DARE (University of Amsterdam) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Radboud Repository (Radboud University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- Frontiers in Human Neuroscience (cc-by)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- National Institutes of Health (AG19731, AG23770)
- National Institute on Aging (R01AG019731, AG 19731, AG000029, AG23770, R01AG023770, R56AG023770, T32AG000029)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- posterior cingulate cortex, precuneus, default mode network, episodic memory retrieval, episodic memory encoding, retrieval success, memory encoding, memory retrieval
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