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).”
Cited by
Sorted by citations
Items 401–500 of 1,000
Attenuated Face Processing during Mind Wandering
Denkova, E., Brudner, E. G., Zayan, K. L., Dunn, J., & Jha, A. P. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01312 · Cited by 29
Stenling, A., Sörman, D. E., Lindwall, M., Hansson, P., Ljungberg, J. K., & Machado, L. (2020) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2020.1779646 · Cited by 34
Individual Differences in Cognitive Training Research
Katz, B., Jones, M. R., Shah, P., Buschkuehl, M., & Jaeggi, S. M. (2020) · Springer eBooks · doi:10.1007/978-3-030-39292-5_8 · Cited by 33
Unilateral Acoustic Degradation Delays Attentional Separation of Competing Speech
Kraus, F., Tune, S., Ruhe, A., Obleser, J., & Wöstmann, M. (2021) · Trends in Hearing · doi:10.1177/23312165211013242 · Cited by 27
Out-of-body memory encoding causes third-person perspective at recall
Bergouignan, L., Nyberg, L. H., & Ehrsson, H. H. (2021) · Journal of Cognitive Psychology · doi:10.1080/20445911.2021.1958823 · Cited by 34
A practical review of electroencephalography’s value to consumer research
McInnes, A. N., Sung, B., & Hooshmand, R. (2022) · International Journal of Market Research · doi:10.1177/14707853221112622 · Cited by 37
Entorhinal grid-like codes and time-locked network dynamics track others navigating through space
Wagner, I. C., Graichen, L. P., Todorova, B., Lüttig, A., Omer, D. B., Stangl, M., & Lamm, C. (2023) · Nature Communications · doi:10.1038/s41467-023-35819-3 · Cited by 33
The Effects of Rotating the Self Out of the Body in the Full Virtual Body Ownership Illusion
Blom, K. J., Arroyo-Palacios, J., & Slater, M. (2014) · Perception · doi:10.1068/p7618 · Cited by 26
Diagnosing residual aphasia using spontaneous speech analysis
Jaecks, P., Hielscher‐Fastabend, M., & Stenneken, P. (2012) · Aphasiology · doi:10.1080/02687038.2012.663075 · Cited by 27
Dennis, E. L., Caeyenberghs, K., Asarnow, R. F., Babikian, T., Bartnik‐Olson, B., Bigler, E. D., Figaji, A., Giza, C. C., Goodrich‐Hunsaker, N. J., Hodges, C. B., et al. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00363-x · Cited by 26
Abstract relational categories, graded persistence, and prefrontal cortical representation
Speed, A. (2010) · Cognitive Neuroscience · doi:10.1080/17588921003660728 · Cited by 28
Ahlfors, S. P., & Mody, M. (2016) · Organizational Research Methods · doi:10.1177/1094428116676344 · Cited by 27
Kobald, S. O., Wascher, E., Heppner, H., & Getzmann, S. (2018) · Psychological Research · doi:10.1007/s00426-017-0952-9 · Cited by 26
An ERP investigation on the second language and emotion perception: the role of emotion word type
Wu, C., Zhang, J., & Yuan, Z. (2019) · International Journal of Bilingual Education and Bilingualism · doi:10.1080/13670050.2019.1703895 · Cited by 26
Wu, S.-F., Lu, Y.-L., & Lien, C.-J. (2021) · Journal of Educational Computing Research · doi:10.1177/0735633120944084 · Cited by 25
Be still my heart: Cardiac regulation as a mode of uncertainty reduction
Corcoran, A. W., Macefield, V. G., & Hohwy, J. (2021) · Psychonomic Bulletin & Review · doi:10.3758/s13423-021-01888-y · Cited by 30
Halik, Ł., & Kent, A. J. (2021) · International Journal of Digital Earth · doi:10.1080/17538947.2021.1984595 · Cited by 26
O’Brien, W., Philpott, C., Lester, D., Belton, S., Duncan, M. J., Donovan, B., Chambers, F. C., & Utesch, T. (2021) · Physical Education and Sport Pedagogy · doi:10.1080/17408989.2021.1990241 · Cited by 26
Effects of Mental Fatigue on Strength Endurance: A Systematic Review and Meta-Analysis
Alix‐Fages, C., Grgić, J., Jiménez‐Martínez, P., Baz-Valle, E., & Balsalobre‐Fernández, C. (2022) · Motor Control · doi:10.1123/mc.2022-0051 · Cited by 26
Default mode network deactivation during odor–visual association
Karunanayaka, P., Wilson, D. A., Tobia, M. J., Martinez, B., Meadowcroft, M. D., Eslinger, P. J., & Yang, Q. X. (2016) · Human Brain Mapping · doi:10.1002/hbm.23440 · Cited by 27
Long reaction times are associated with delayed brain activity in lewy body dementia
Firbank, M., O'Brien, J. T., & Taylor, J. (2017) · Human Brain Mapping · doi:10.1002/hbm.23866 · Cited by 26
Affective certainty and congruency of touch modulate the experience of the rubber hand illusion
Filippetti, M. L., Kirsch, L. P., Crucianelli, L., & Fotopoulou, A. (2019) · Scientific Reports · doi:10.1038/s41598-019-38880-5 · Cited by 27
Imaginative Constraints and Generative Models
Williams, D. (2020) · Australasian Journal of Philosophy · doi:10.1080/00048402.2020.1719523 · Cited by 28
Christidi, F., Zalonis, I., Kyriazi, S., Rentzos, M., Karavasilis, E., Wilde, E. A., & Evdokimidis, I. (2013) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9271-y · Cited by 26
Zhang, Z., Wang, S., Du, X., Qi, Y., Wang, L., & Dong, G. (2023) · Journal of Behavioral Addictions · doi:10.1556/2006.2023.00039 · Cited by 25
On the Assessment of Motor Imagery Ability: A Research Commentary
Dahm, S. F. (2019) · Imagination Cognition and Personality · doi:10.1177/0276236619836091 · Cited by 25
Espeleta, H. C., Sharkey, C. M., Bakula, D. M., Gamwell, K. L., Archer, C., Perez, M. N., Roberts, C. M., Chaney, J. M., & Mullins, L. L. (2019) · Journal of Clinical Psychology in Medical Settings · doi:10.1007/s10880-019-09639-x · Cited by 27
Gamified Attention Training in the Primary School Classroom: A Cluster-Randomized Controlled Trial
Kirk, H., Spencer‐Smith, M. M., Wiley, J. F., & Cornish, K. M. (2019) · Journal of Attention Disorders · doi:10.1177/1087054719887435 · Cited by 30
Dugre, J. R., Dumais, A., Tikàsz, A., Mendrek, A., & Potvin, S. (2021) · Schizophrenia · doi:10.1038/s41537-021-00147-2 · Cited by 25
Anomaly Detection on Wind Turbines Based on a Deep Learning Analysis of Vibration Signals
Hoffmann, J. L. C., Horstmann, L. P., Lucena, M., de Araújo, G. M., Fröhlich, A. A., & Nishioka, M. H. N. (2021) · Applied Artificial Intelligence · doi:10.1080/08839514.2021.1966879 · Cited by 25
Higher-dimensional neural representations predict better episodic memory
Sheng, J., Zhang, L., Liu, C., Liu, J., Feng, J., Zhou, Y., Hu, H., & Xue, G. (2022) · Science Advances · doi:10.1126/sciadv.abm3829 · Cited by 24
Sommer, V. R., & Sander, M. C. (2021) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2021.2019184 · Cited by 23
Liedgren, J., Desmet, P., & Gaggioli, A. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1043170 · Cited by 28
The unique role of bilingualism among cognitive reserve-enhancing factors
Gallo, F., & Abutalebi, J. (2023) · Bilingualism Language and Cognition · doi:10.1017/s1366728923000317 · Cited by 30
Impact of gray matter reductions on theory of mind abilities in patients with schizophrenia
Koelkebeck, K., Hirao, K., Miyata, J., Kawada, R., Saze, T., Dannlowski, U., Ubukata, S., Ohrmann, P., Bauer, J., Pedersen, A., et al. (2013) · Social Neuroscience · doi:10.1080/17470919.2013.837094 · Cited by 25
Pastukhov, A., & Braun, J. (2012) · Attention, Perception, & Psychophysics · doi:10.3758/s13414-012-0390-0 · Cited by 27
Well-being, austerity and policing
Hesketh, I., Cooper, C. L., & Ivy, J. (2015) · The Police Journal Theory Practice and Principles · doi:10.1177/0032258x15598950 · Cited by 25
Lay Listener Classification and Evaluation of Typical and Atypical Children’s Speech
Redford, M. A., Kapatsinski, V. M., & Cornell-Fabiano, J. (2017) · Language and Speech · doi:10.1177/0023830917717758 · Cited by 25
Escobar, J., Díaz, R. R., Cerić, F., Aparicio, A., Arango, P. S., Arroyo, R., Espinoza, V., Garolera, M., Pizarro, M., Porflitt, F., et al. (2018) · Culture and Education · doi:10.1080/11356405.2018.1462903 · Cited by 25
Zimmermann, P., & Iwanski, A. (2018) · Attachment & Human Development · doi:10.1080/14616734.2018.1499212 · Cited by 28
Zhang, S., Xia, X., Li, S., Shen, L., Liu, J., Zhao, L., & Chen, C. (2019) · International Journal of Developmental Disabilities · doi:10.1080/20473869.2019.1656384 · Cited by 26
Beyond the Reward Principle: Consciousness as Precision Seeking
Fotopoulou, A. (2013) · Neuropsychoanalysis · doi:10.1080/15294145.2013.10773715 · Cited by 25
Visual Aftereffects for Walking Actions Reveal Underlying Neural Mechanisms for Action Recognition
Barraclough, N. E., & Jellema, T. (2010) · Psychological Science · doi:10.1177/0956797610391910 · Cited by 24
Brain–behavior relationships in source memory: Effects of age and memory ability
Meusel, L.-A., Grady, C. L., Ebert, P. E., & Anderson, N. D. (2017) · Cortex · doi:10.1016/j.cortex.2016.12.023 · Cited by 24
Brunelle, K., Abdulle, S., & Gorey, K. M. (2019) · Child and Adolescent Social Work Journal · doi:10.1007/s10560-019-00631-w · Cited by 31
Movement Synchrony in the Mirror Game
Feniger‐Schaal, R., Schönherr, D., Altmann, U., & Strauss, B. M. (2020) · Journal of Nonverbal Behavior · doi:10.1007/s10919-020-00341-3 · Cited by 23
Tenhundfeld, N. L., Demir, M., & de Visser, E. J. (2022) · Journal of Cognitive Engineering and Decision Making · doi:10.1177/15553434221096261 · Cited by 26
Bono, M. G. D., & Zorzi, M. (2013) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2013.779730 · Cited by 25
Emotional prosody and diffusion tensor imaging in children after traumatic brain injury
Schmidt, A., Hanten, G. R., Li, X., Wilde, E. A., Ibarra, A., Chu, Z. D., Helbling, A. R., Shah, S., & Levin, H. S. (2013) · Brain Injury · doi:10.3109/02699052.2013.828851 · Cited by 24
Towards an understanding of neuroscience for science educators
Oliver, M. (2011) · Studies in Science Education · doi:10.1080/03057267.2011.604478 · Cited by 25
Brown, J. A., Thiessen, A., Beukelman, D. R., & Hux, K. (2015) · Augmentative and Alternative Communication · doi:10.3109/07434618.2014.995224 · Cited by 24
Dalrymple, K. A., Elison, J. T., & Duchaine, B. (2016) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2015.1122642 · Cited by 25
Virtual Apartment-Based Stroop for assessing distractor inhibition in healthy aging
Parsons, T. D., & Barnett, M. D. (2017) · Applied Neuropsychology Adult · doi:10.1080/23279095.2017.1373281 · Cited by 28
Shaw, E. P., Rietschel, J. C., Hendershot, B. D., Pruziner, A. L., Wolf, E. J., Dearth, C. L., Miller, M. W., Hatfield, B. D., & Gentili, R. J. (2019) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617719000602 · Cited by 24
Functional network interactions at rest underlie individual differences in memory abilityPreprint
van Buuren, M., Wagner, I. C., & Fernández, G. (2018) · Learning & Memory · doi:10.1101/lm.048199.118 · Cited by 24
Targeted neurorehabilitation strategies in post-stroke aphasia
Shah‐Basak, P. P., Boukrina, O. V., Li, X. R., Jebahi, F., & Kielar, A. (2023) · Restorative Neurology and Neuroscience · doi:10.3233/rnn-231344 · Cited by 29
Hotte‐Meunier, A., Sarraf, L., Bougeard, A., Bernier, F., Voyer, C., Deng, J., Asmar, S. E., Σταμάτη, Α., Corbière, M., Villotti, P., et al. (2024) · Neurodiversity · doi:10.1177/27546330241287655 · Cited by 39
Verbal Memory in Parkinson’s Disease: A Combined DTI and fMRI Study
Lucas‐Jiménez, O., Díez‐Cirarda, M., Ojeda, N., Peña, J., Cabrera‐Zubizarreta, A., & Ibarretxe‐Bilbao, N. (2015) · Journal of Parkinson s Disease · doi:10.3233/jpd-150623 · Cited by 22
Mapping the mind: bridge laws and the psycho-neural interface
Nathan, M. J., & Pinal, G. D. (2015) · Synthese · doi:10.1007/s11229-015-0769-2 · Cited by 23
Kirk, I. J., Spriggs, M. J., & Sumner, R. L. (2020) · Journal of the Royal Society of New Zealand · doi:10.1080/03036758.2020.1780274 · Cited by 22
Edde, M., Dilharreguy, B., Theaud, G., Chanraud, S., Helmer, C., Dartigues, J., Amieva, H., Michèle Allard, A., Descoteaux, M., & Catheline, G. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02121-7 · Cited by 20
Machine learning in emotional intelligence studies: a survey
Dollmat, K. S. B., & Abdullah, N. A. (2021) · Behavior and Information Technology · doi:10.1080/0144929x.2021.1877356 · Cited by 15
Roquet, C. D., Sas, C., & Potts, D. (2021) · Human-Computer Interaction · doi:10.1080/07370024.2021.1968864 · Cited by 26
Natural Code of Subjective Experience
Суров, И. А. (2022) · Biosemiotics · doi:10.1007/s12304-022-09487-7 · Cited by 23
Examining the Effects of Gender Transfer in Virtual Reality on Implicit Gender Bias
Wu, L., & Chen, K. (2022) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208221145264 · Cited by 23
Li, Z., Samara, A., Ray, M. K., Rutlin, J., Raji, C., Shimony, J., Sun, P., Song, S.-K., Hershey, T., & Eisenstein, S. A. (2022) · medRxiv · doi:10.1093/texcom/tgad007 · Cited by 24
Neural theory for the perception of causal actions
Fleischer, F., Christensen, A., Caggiano, V., Thier, P., & Giese, M. A. (2012) · Psychological Research · doi:10.1007/s00426-012-0437-9 · Cited by 22
Adolescent Transformations of Behavioral and Neural Processes as Potential Targets for Prevention
Eldreth, D. A., Hardin, M. G., Pavletić, N., & Ernst, M. (2013) · Prevention Science · doi:10.1007/s11121-012-0322-1 · Cited by 26
Beth, T., & Ekroll, V. (2014) · Psychological Research · doi:10.1007/s00426-014-0584-2 · Cited by 23
Grade, S., Badets, A., & Pesenti, M. (2016) · Psychological Research · doi:10.1007/s00426-016-0760-7 · Cited by 23
Intelligence and Musical Mode Preference
Bonetti, L., & Costa, M. (2016) · Empirical Studies of the Arts · doi:10.1177/0276237416628907 · Cited by 23
The 8–Hour Challenge: Incentivizing Sleep during End–of–Term Assessments
King, E., Mobley, C., & Scullin, M. K. (2019) · Journal of Interior Design · doi:10.1111/joid.12135 · Cited by 23
Brain responses to social punishment: a meta-analysis
Zinchenko, O. O. (2019) · Scientific Reports · doi:10.1038/s41598-019-49239-1 · Cited by 25
Applying a Standards-Based Grading Framework Across Lower Level Mathematics Courses
Elsinger, J., & Lewis, D. (2019) · PRIMUS · doi:10.1080/10511970.2019.1674430 · Cited by 27
Dynamic changes in parietal activation during encoding: Implications for human learning and memory
Elman, J. A., Rosner, Z. A., Cohn‐Sheehy, B. I., Cerreta, A., & Shimamura, A. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.113 · Cited by 23
Neural enhancement and attenuation induced by repetitive recall
Hashimoto, T., Usui, N., Taira, M., & Kojima, S. (2011) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2011.03.008 · Cited by 24
Male Wistar rats show individual differences in an animal model of conformity
Jolles, J. W., de Visser, L., & van den Bos, R. (2011) · Animal Cognition · doi:10.1007/s10071-011-0395-4 · Cited by 23
Remote Navigation of Turtle by Controlling Instinct behavior via Human Brain-computer Interface
Kim, C.-H., Choi, B., Kim, D., Lee, S., Jo, S., & Lee, P. (2016) · Journal of Bionic Engineering · doi:10.1016/s1672-6529(16)60322-0 · Cited by 23
The Evolution of Gender Dimorphism in the Human Voice
Bannan, N., Dunbar, R., & Bamford, J. S. (2024) · Current Anthropology · doi:10.1086/730147 · Cited by 35
Neurorehabilitation analysed through ‘situated learning’ theory
Aadal, L., Kirkevold, M., & Borg, T. (2013) · Scandinavian Journal of Disability Research · doi:10.1080/15017419.2013.781956 · Cited by 23
The time course of neural responses to social versus non-social unfairness in the ultimatum game
Chen, M., Zhao, Z., & Lai, H. (2018) · Social Neuroscience · doi:10.1080/17470919.2018.1486736 · Cited by 23
Is Remembering to do a Special Kind of Memory?
Grünbaum, T., & Kyllingsbæk, S. (2020) · Review of Philosophy and Psychology · doi:10.1007/s13164-020-00479-5 · Cited by 22
The effect of age on task switching: updated and extended meta-analyses
Chen, E.-H., & Hsieh, S. (2023) · Psychological Research · doi:10.1007/s00426-023-01794-z · Cited by 25
Alpha-band sensory entrainment improves audiovisual temporal acuity
Marsicano, G., Bertini, C., & Ronconi, L. (2023) · Psychonomic Bulletin & Review · doi:10.3758/s13423-023-02388-x · Cited by 22
Contributions of the ventral parietal cortex to declarative memory
Davis, S. W., Wing, E. A., & Cabeza, R. E. L. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63622-5.00027-9 · Cited by 23
Efrati, Y. (2018) · Sexual Addiction & Compulsivity The Journal of Treatment and Prevention · doi:10.1080/10720162.2018.1454371 · Cited by 22
Li, J., Pu, J., Cui, H., Xie, X., Xu, S., Li, T., & Hu, Y. S. (2018) · Journal of Medical and Biological Engineering · doi:10.1007/s40846-018-0459-x · Cited by 22
Cushing, C. A., Im, H. Y., Adams, R. B., Ward, N., Albohn, D. N., Steiner, T. G., & Kveraga, K. (2018) · Scientific Reports · doi:10.1038/s41598-018-20509-8 · Cited by 23
Gene Expression Correlates of the Cortical Network Underlying Sentence Processing
Kong, X., Tzourio‐Mazoyer, N., Joliot, M., Fedorenko, E. G., Liu, J., Fisher, S. E., & Francks, C. (2020) · Neurobiology of Language · doi:10.1162/nol_a_00004 · Cited by 24
Memory, attention and prediction: a deep learning architecture for car-following
Wu, Y., Tan, H., Chen, X., & Ran, B. (2019) · Transportmetrica B Transport Dynamics · doi:10.1080/21680566.2019.1650674 · Cited by 22
On the Other Hand…: Enhancing Promotional Effectiveness with Haptic Cues
Maille, V., Morrin, M., & Reynolds-McIlnay, R. (2019) · Journal of Marketing Research · doi:10.1177/0022243719878390 · Cited by 22
Francuz, P., & Zabielska‐Mendyk, E. (2013) · Media Psychology · doi:10.1080/15213269.2013.831394 · Cited by 22
Towards an enactive account of action: speaking and joint speaking as exemplary domains
Cummins, F. (2013) · Adaptive Behavior · doi:10.1177/1059712313483144 · Cited by 22
The neural bases of distracter-resistant working memoryPreprint
Wager, T. D., Spicer, J., Insler, R. Z., & Smith, E. E. (2011) · Nature Precedings · doi:10.3758/s13415-013-0226-y · Cited by 26
Yang, J., Barragan, J. A., Farrow, J. M., Sundaram, C. P., Wachs, J. P., & Yu, D. (2022) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208221129940 · Cited by 21
The psychedelic renaissance: the next trip for psychiatry?
Kelly, J. R., Baker, A., Babiker, M., Burke, L., Brennan, C., & O’Keane, V. (2019) · Irish Journal of Psychological Medicine · doi:10.1017/ipm.2019.39 · Cited by 21
Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback
Tuckute, G., Hansen, S. T., Kjær, T. W., & Hansen, L. K. (2021) · Neural Computation · doi:10.1162/neco_a_01363 · Cited by 23
Human–Robot Interaction for Rehabilitation Robotics
Guo, Y., Gu, X., & Yang, G. (2021) · Future of business and finance · doi:10.1007/978-3-030-65896-0_23 · Cited by 22
Functional connectivity in aging
Liem, F., Geerligs, L., Damoiseaux, J. S., & Margulies, D. S. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-816094-7.00010-6 · Cited by 24
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