The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Vividness of Visual Imagery Depends on the Neural Overlap with Perception in Visual Areas
Open accessAbstract
Research into the neural correlates of individual differences in imagery vividness point to an important role of the early visual cortex. However, there is also great fluctuation of vividness within individuals, such that only looking at differences between people necessarily obscures the picture. In this study, we show that variation in moment-to-moment experienced vividness of visual imagery, within human subjects, depends on the activity of a large network of brain areas, including frontal, parietal, and visual areas. Furthermore, using a novel multivariate analysis technique, we show that the neural overlap between imagery and perception in the entire visual system correlates with experienced imagery vividness. This shows that the neural basis of imagery vividness is much more complicated than studies of individual differences seemed to suggest. SIGNIFICANCE STATEMENT Visual imagery is the ability to visualize objects that are not in our direct line of sight: something that is important for memory, spatial reasoning, and many other tasks. It is known that the better people are at visual imagery, the better they can perform these tasks. However, the neural correlates of moment-to-moment variation in visual imagery remain unclear. In this study, we show that the more the neural response during imagery is similar to the neural response during perception, the more vivid or perception-like the imagery experience is.
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 says what the claim attributes to it.
In the citing paper
“The degree of resemblance between brain activation during imagery and perception probably contributes to the experienced vividness”
From Aphantasia and hyperphantasia: exploring imagery vividness extremes (2024) · cites this paper as [20]
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
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Information-based functional brain mapping
Kriegeskorte, N., Goebel, R., & Bandettini, P. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0600244103 · Cited by 2,113
Kosslyn, S. M., Ganis, G., & Thompson, W. L. (2001) · Nature Reviews Neuroscience · doi:10.1038/35090055 · Cited by 1,894
VISUAL IMAGERY DIFFERENCES IN THE RECALL OF PICTURES
MARKS, D. F. (1973) · British Journal of Psychology · doi:10.1111/j.2044-8295.1973.tb01322.x · Cited by 1,778
Decoding reveals the contents of visual working memory in early visual areas
Harrison, S. A., & Tong, F. (2009) · Nature · doi:10.1038/nature07832 · Cited by 1,347
Guclu, U., & van Gerven, M. A. J. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5023-14.2015 · Cited by 961
Frontal midline EEG dynamics during working memory
Onton, J., Arnaud Delorme, A., & Makeig, S. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.04.014 · Cited by 846
Less Is More: Expectation Sharpens Representations in the Primary Visual Cortex
Kok, P., Jehee, J. F. M., & de Lange, F. P. (2012) · Neuron · doi:10.1016/j.neuron.2012.04.034 · Cited by 798
Brain areas underlying visual mental imagery and visual perception: an fMRI study
Ganis, G., Thompson, W. L., & Kosslyn, S. M. (2004) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2004.02.012 · Cited by 765
Romei, V., Brodbeck, V., Michel, C. M., Amedi, A., Pascual‐Leone, Á., & Thut, G. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm229 · Cited by 717
Cited by
Sorted by citations
The human imagination: the cognitive neuroscience of visual mental imagery
Pearson, J. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0202-9 · Cited by 820
Shared Neural Mechanisms of Visual Perception and Imagery
Dijkstra, N., Bosch, S., & van Gerven, M. A. J. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.02.004 · Cited by 445
Self-citationDistinct Top-down and Bottom-up Brain Connectivity During Visual Perception and Imagery
Dijkstra, N., Zeidman, P., Ondobaka, S., van Gerven, M. A. J., & Friston, K. J. (2017) · Scientific Reports · doi:10.1038/s41598-017-05888-8 · Cited by 254
Self-citationEffects of Language on Visual Perception
Lupyan, G., Rahman, R. A., Boroditsky, L., & Clark, A. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.08.005 · Cited by 282
The neural correlates of visual imagery vividness – An fMRI study and literature review
Fulford, J., Milton, F., Salas, D., Smith, A., Simler, A., Winlove, C., & Zeman, A. (2018) · Cortex · doi:10.1016/j.cortex.2017.09.014 · Cited by 211
The prevalence of aphantasia (imagery weakness) in the general population
Dance, C. J., Ipser, A., & Simner, J. (2022) · Consciousness and Cognition · doi:10.1016/j.concog.2021.103243 · Cited by 167
The neural correlates of visual imagery: A co-ordinate-based meta-analysis
Winlove, C. I. P., Milton, F., Ranson, J., Fulford, J., MacKisack, M., Macpherson, F., & Zeman, A. (2018) · Cortex · doi:10.1016/j.cortex.2017.12.014 · Cited by 150
Aphantasia and hyperphantasia: exploring imagery vividness extremes
Zeman, A. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.02.007 · Cited by 148
The Importance of Amodal Completion in Everyday Perception
Nánay, B. (2018) · i-Perception · doi:10.1177/2041669518788887 · Cited by 151
Kay, L., Keogh, R., Andrillon, T., & Pearson, J. (2022) · eLife · doi:10.7554/elife.72484 · Cited by 142
A Review of Sensory Imagery for Consumer Psychology
Elder, R., & Krishna, A. (2021) · Journal of Consumer Psychology · doi:10.1002/jcpy.1242 · Cited by 139
A network linking scene perception and spatial memory systems in posterior cerebral cortex
Steel, A., Billings, M. M., Silson, E. H., & Robertson, C. E. (2021) · Nature Communications · doi:10.1038/s41467-021-22848-z · Cited by 132
Differential temporal dynamics during visual imagery and perception
Dijkstra, N., Mostert, P., de Lange, F. P., Bosch, S., & van Gerven, M. A. J. (2018) · eLife · doi:10.7554/elife.33904 · Cited by 118
Self-citationSubjective signal strength distinguishes reality from imagination
Dijkstra, N., & Fleming, S. M. (2023) · Nature Communications · doi:10.1038/s41467-023-37322-1 · Cited by 115
Self-citationNánay, B. (2023) · doi:10.1093/oso/9780198809500.001.0001 · Cited by 121
Generative Feedback Explains Distinct Brain Activity Codes for Seen and Mental Images
Breedlove, J. L., St-Yves, G., Olman, C. A., & Naselaris, T. (2020) · Current Biology · doi:10.1016/j.cub.2020.04.014 · Cited by 121
Perceptual reality monitoring: Neural mechanisms dissociating imagination from reality
Dijkstra, N., Kok, P., & Fleming, S. M. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104557 · Cited by 116
Self-citationWhy do imagery and perception look and feel so different?
Koenig-Robert, R., & Pearson, J. (2021) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2019.0703 · Cited by 104
Decoding the contents and strength of imagery before volitional engagement
Koenig‐Robert, R., & Pearson, J. (2019) · Scientific Reports · doi:10.1038/s41598-019-39813-y · Cited by 110
What is the Link Between Mental Imagery and Sensory Sensitivity? Insights from Aphantasia
Dance, C., Ward, J., & Simner, J. (2021) · Perception · doi:10.1177/03010066211042186 · Cited by 123
Cortical excitability controls the strength of mental imagery
Keogh, R., Bergmann, J., & Pearson, J. (2020) · eLife · doi:10.7554/elife.50232 · Cited by 94
Neural dynamics of perceptual inference and its reversal during imagery
Dijkstra, N., Ambrogioni, L., Vidaurre, D., & van Gerven, M. (2020) · eLife · doi:10.7554/elife.53588 · Cited by 89
Self-citationThe Nature, Measurement, and Development of Imagery Ability
Cumming, J., & Eaves, D. L. (2018) · Imagination Cognition and Personality · doi:10.1177/0276236617752439 · Cited by 87
Bedir, D., & Erhan, S. E. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.02073 · Cited by 85
Dijkstra, N., Mazor, M., Kok, P., & Fleming, S. M. (2021) · Cognition · doi:10.1016/j.cognition.2021.104719 · Cited by 91
Self-citationBainbridge, W. A., Hall, E. H., & Baker, C. I. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa329 · Cited by 84
Eye Movement Reinstatement and Neural Reactivation During Mental Imagery
Bone, M. B., St‐Laurent, M., Dang, C., McQuiggan, D. A., Ryan, J. D., & Buchsbaum, B. R. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy014 · Cited by 92
Eye movements explain decodability during perception and cued attention in MEG
Quax, S. C., Dijkstra, N., van Staveren, M. J., Bosch, S., & van Gerven, M. A. J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.03.069 · Cited by 77
Self-citationNeuroimaging Findings on Amodal Completion: A Review
Thielen, J., Bosch, S., van Leeuwen, T. M., van Gerven, M. A. J., & van Lier, R. (2019) · i-Perception · doi:10.1177/2041669519840047 · Cited by 74
Self-citationInformation generation as a functional basis of consciousness
Kanai, R., Chang, A., Yu, Y., Magrans de Abril, I., Biehl, M., & Guttenberg, N. (2019) · Neuroscience of Consciousness · doi:10.1093/nc/niz016 · Cited by 72
Tononi, G., Boly, M., & Cirelli, C. (2024) · Neuron · doi:10.1016/j.neuron.2024.04.011 · Cited by 70
Feature-specific neural reactivation during episodic memory
Bone, M. B., Ahmad, F. N., & Buchsbaum, B. R. (2020) · Nature Communications · doi:10.1038/s41467-020-15763-2 · Cited by 71
Monaco, S., Malfatti, G., Culham, J. C., Cattaneo, L., & Turella, L. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116981 · Cited by 75
Visual mental imagery: Evidence for a heterarchical neural architecture
Spagna, A., Heidenry, Z., Miselevich, M., Lambert, C. J., Eisenstadt, B. E., Tremblay, L., Liu, Z., Liu, J., & Bartolomeo, P. (2023) · Physics of Life Reviews · doi:10.1016/j.plrev.2023.12.012 · Cited by 73
The Architect Who Lost the Ability to Imagine: The Cerebral Basis of Visual Imagery
Þórudóttir, S., Sigurdardottir, H. M., Rice, G. E., Kerry, S. J., Robotham, R. J., Leff, A. P., & Starrfelt, R. (2020) · Brain Sciences · doi:10.3390/brainsci10020059 · Cited by 65
Senden, M., Emmerling, T. C., van Hoof, R., Frost, M. A., & Goebel, R. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01828-6 · Cited by 65
Sensory representations in primary visual cortex are not sufficient for subjective imagery
Cabbai, G., Racey, C., Simner, J., Dance, C., Ward, J., & Forster, S. (2024) · Current Biology · doi:10.1016/j.cub.2024.09.062 · Cited by 76
Does hippocampal volume explain performance differences on hippocampal-dependant tasks?
Clark, I. A., Monk, A. M., Hotchin, V., Pizzamiglio, G., Liefgreen, A., Callaghan, M. F., & Maguire, E. A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117211 · Cited by 51
Decoding Nonconscious Thought Representations during Successful Thought Suppression
Koenig‐Robert, R., & Pearson, J. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01617 · Cited by 53
Visual Representations: Insights from Neural Decoding
Robinson, A. K., Quek, G. L., & Carlson, T. A. (2023) · Annual Review of Vision Science · doi:10.1146/annurev-vision-100120-025301 · Cited by 48
Palmiero, M., Piccardi, L., Giancola, M., Nori, R., D’Amico, S., & Belardinelli, M. O. (2019) · Cognitive Processing · doi:10.1007/s10339-019-00908-z · Cited by 59
Königsmark, V., Bergmann, J., & Reeder, R. (2021) · Cortex · doi:10.1016/j.cortex.2021.05.007 · Cited by 50
Between-subject variability in the influence of mental imagery on conscious perception
Dijkstra, N., Hinne, M., Bosch, S., & van Gerven, M. A. J. (2019) · Scientific Reports · doi:10.1038/s41598-019-52072-1 · Cited by 58
Self-citationAphantasia: The science of visual imagery extremes
Keogh, R., Pearson, J., & Zeman, A. Z. (2021) · Handbook of clinical neurology · doi:10.1016/b978-0-12-821377-3.00012-x · Cited by 52
Fazekas, P., Nemeth, G., & Overgaard, M. (2019) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2018.10.005 · Cited by 47
Multisensory subtypes of aphantasia: Mental imagery as supramodal perception in reverse
Dawes, A. J., Keogh, R., & Pearson, J. (2023) · Neuroscience Research · doi:10.1016/j.neures.2023.11.009 · Cited by 55
Imageless imagery in aphantasia revealed by early visual cortex decoding
Chang, S., Zhang, X., Cao, Y., Pearson, J., & Meng, M. (2025) · Current Biology · doi:10.1016/j.cub.2024.12.012 · Cited by 45
Antonioni, A., Raho, E. M., Straudi, S., Granieri, E., Koch, G., & Fadiga, L. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105830 · Cited by 44
How do the blind ‘see’? The role of spontaneous brain activity in self-generated perception
Hahamy, A., Wilf, M., Rosin, B., Behrmann, M., & Malach, R. (2020) · Brain · doi:10.1093/brain/awaa384 · Cited by 40
Runge, M., Cheung, M. W. ‐., & D’Angiulli, A. (2017) · Neuroscience of Consciousness · doi:10.1093/nc/nix006 · Cited by 48
Anomalous visual experience is linked to perceptual uncertainty and visual imagery vividness
Salge, J., Pollmann, S., & Reeder, R. (2020) · Psychological Research · doi:10.1007/s00426-020-01364-7 · Cited by 36
Gurtner, L. M., Hartmann, M., & Mast, F. W. (2021) · Cognition · doi:10.1016/j.cognition.2021.104597 · Cited by 36
MacNamara, A. (2017) · Psychophysiology · doi:10.1111/psyp.13024 · Cited by 37
Soyuhos, O., & Baldauf, D. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.15936 · Cited by 35
Pace, T., Koenig‐Robert, R., & Pearson, J. (2023) · Psychological Science · doi:10.1177/09567976231198435 · Cited by 34
Spagna, A., Hajhajate, D., Liu, J., & Bartolomeo, P. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.12.029 · Cited by 33
Zhang, Y., Chen, G., Wen, H., Lu, K., & Liu, Z. (2017) · Scientific Reports · doi:10.1038/s41598-017-17178-4 · Cited by 37
Visual imagery during real-time fMRI neurofeedback from occipital and superior parietal cortex
Andersson, P. U., Ragni, F., & Lingnau, A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.06.057 · Cited by 33
Eye-movement reinstatement and neural reactivation during mental imageryPreprint
Bone, M. B., St‐Laurent, M., Dang, C., McQuiggan, D. A., Ryan, J. D., & Buchsbaum, B. R. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/107953 · Cited by 34
Mental imagery can generate and regulate acquired differential fear conditioned reactivity
Greening, S. G., Lee, T., Burleigh, L. M., Grégoire, L., Robinson, T., Jiang, X., Mather, M., & Kaplan, J. (2022) · Scientific Reports · doi:10.1038/s41598-022-05019-y · Cited by 35
Mental Simulation during Literary Reading
Mak, M., & Willems, R. M. (2021) · De Gruyter eBooks · doi:10.1515/9783110645958-004 · Cited by 30
Working memory signals in early visual cortex are present in weak and strong imagers
Weber, S., Christophel, T. B., Görgen, K., Soch, J., & Haynes, J. (2024) · Human Brain Mapping · doi:10.1002/hbm.26590 · Cited by 47
Neural mechanisms of psychedelic visual imagery
Stoliker, D., Preller, K. H., Novelli, L., Anticevic, A., Egan, G. F., Vollenweider, F. X., & Razi, A. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02632-3 · Cited by 36
I Am Conscious, Therefore, I Am: Imagery, Affect, Action, and a General Theory of Behavior
Marks, D. F. (2019) · Brain Sciences · doi:10.3390/brainsci9050107 · Cited by 33
Fundamental constraints on distinguishing reality from imaginationPreprint
Dijkstra, N., & Fleming, S. M. (2021) · doi:10.31234/osf.io/bw872 · Cited by 30
Self-citationRelating Visual Production and Recognition of Objects in Human Visual Cortex
Fan, J. E., Wammes, J. D., Gunn, J. B., Yamins, D. L. K., Norman, K. A., & Turk‐Browne, N. B. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1843-19.2019 · Cited by 29
A neural basis for distinguishing imagination from reality
Dijkstra, N., von Rein, T., Kok, P., & Fleming, S. M. (2025) · Neuron · doi:10.1016/j.neuron.2025.05.015 · Cited by 31
Self-citationUncovering the Role of the Early Visual Cortex in Visual Mental Imagery
Dijkstra, N. (2024) · Vision · doi:10.3390/vision8020029 · Cited by 32
Self-citationPeng, X., Ren, J., & Guo, Y. (2023) · Industrial Management & Data Systems · doi:10.1108/imds-12-2022-0743 · Cited by 32
Hallucinations as intensified forms of mind-wandering
Fazekas, P. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0700 · Cited by 28
Gündem, D., Potočnik, J., Winter, F. D., Kaddouri, A. E., Stam, D., Peeters, R. R., Emsell, L., Sunaert, S. G., Oudenhove, L. V., Vandenbulcke, M., et al. (2022) · Communications Biology · doi:10.1038/s42003-022-04324-6 · Cited by 34
Fazekas, P., Németh, G., & Overgaard, M. S. (2020) · Perspectives on Psychological Science · doi:10.1177/1745691620924039 · Cited by 29
Feasibility of decoding visual information from EEG
Wilson, H., Chen, X., Golbabaee, M., Proulx, M. J., & O'Neill, E. J. (2023) · Brain-Computer Interfaces · doi:10.1080/2326263x.2023.2287719 · Cited by 30
Folville, A., Simons, J. S., D’Argembeau, A., & Bastin, C. (2021) · Psychonomic Bulletin & Review · doi:10.3758/s13423-021-02048-y · Cited by 25
Visual mental imagery: Inside the mind's eyes
Spagna, A. (2022) · Handbook of clinical neurology · doi:10.1016/b978-0-12-823493-8.00010-9 · Cited by 25
Does using a foreign language reduce mental imagery?
Montero‐Melis, G., Isaksson, P., van Paridon, J., & Ostarek, M. (2019) · Cognition · doi:10.1016/j.cognition.2019.104134 · Cited by 24
Li, S., Zeng, X., Shao, Z., & Yu, Q. (2023) · The Journal of Neuroscience · doi:10.1523/jneurosci.0592-23.2023 · Cited by 23
Fear in the Theater of the Mind: Differential Fear Conditioning With Imagined Stimuli
Burleigh, L. M., Jiang, X., & Greening, S. G. (2022) · Psychological Science · doi:10.1177/09567976221086513 · Cited by 24
Patterns of episodic content and specificity predicting subjective memory vividness
Cooper, R. A., & Ritchey, M. (2022) · Memory & Cognition · doi:10.3758/s13421-022-01291-5 · Cited by 21
Hamacher, K., & Buchkremer, R. (2022) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer17020039 · Cited by 38
Hu, Y., & Yu, Q. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113242 · Cited by 24
Decoding category and familiarity information during visual imagery
Ragni, F., Lingnau, A., & Turella, L. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118428 · Cited by 20
No Evidence for Neural Overlap between Unconsciously Processed and Imagined Stimuli
Dijkstra, N., van Gaal, S., Geerligs, L., Bosch, S., & van Gerven, M. A. J. (2021) · eNeuro · doi:10.1523/eneuro.0228-21.2021 · Cited by 23
Self-citationBurleigh, L. M., & Greening, S. G. (2023) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsac063 · Cited by 18
What do you have in mind? ERP markers of visual and auditory imagery
Proverbio, A. M., Tacchini, M., & Jiang, K. (2023) · Brain and Cognition · doi:10.1016/j.bandc.2023.105954 · Cited by 21
Sharkey, R. J., Bacon, C., Peterson, Z., Rootes-Murdy, K., Salvador, R. M., Pomarol-Clotet, E., Karuk, A., Homan, P., Ji, E., Omlor, W., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02563-z · Cited by 23
How Multiple Retrievals Affect Neural Reactivation in Young and Older Adults
St‐Laurent, M., & Buchsbaum, B. R. (2019) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbz075 · Cited by 20
Dissociating the Neural Correlates of Subjective Visibility from Those of Decision Confidence
Mazor, M., Dijkstra, N., & Fleming, S. M. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1220-21.2022 · Cited by 17
Self-citationContent Representation of Tactile Mental Imagery in Primary Somatosensory Cortex
Nierhaus, T., Wesolek, S., Pach, D., Witt, C. M., Blankenburg, F., & Schmidt, T. T. (2023) · eNeuro · doi:10.1523/eneuro.0408-22.2023 · Cited by 18
Offline perception: an introduction
Fazekas, P., Nánay, B., & Pearson, J. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0686 · Cited by 20
Memory and Perception-based Facial Image Reconstruction
Chang, C.-H., Nemrodov, D., Lee, A. C. H., & Nestor, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-06585-2 · Cited by 17
Decoding Images in the Mind’s Eye: The Temporal Dynamics of Visual Imagery
Shatek, S. M., Grootswagers, T., Robinson, A. K., & Carlson, T. A. (2019) · Vision · doi:10.3390/vision3040053 · Cited by 17
A network linking scene perception and spatial memory systems in posterior cerebral cortexPreprint
Steel, A., Billings, M. M., Silson, E. H., & Robertson, C. E. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.25.115147 · Cited by 19
Sharma, A., & Prasad, B. K. (2023) · Physical Education Theory and Methodology · doi:10.17309/tmfv.2023.1.04 · Cited by 16
Mental imagery and visual attentional templates: A dissociation
Cabbai, G., Brown, C. R. H., Dance, C., Simner, J., & Forster, S. (2023) · Cortex · doi:10.1016/j.cortex.2023.09.014 · Cited by 16
Effects of Language on Visual PerceptionPreprint
Lupyan, G., Rahman, R. A., Boroditsky, L., & Clark, A. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/pztmc · Cited by 23
Decreased associative processing and memory confidence in aphantasiaPreprint
Wittmann, B. C., & Şatırer, Y. (2022) · Learning & Memory · doi:10.1101/lm.053610.122 · Cited by 19
Bouyer, L. N., Schwarzkopf, D. S., Saurels, B. W., & Arnold, D. H. (2024) · Cognition · doi:10.1016/j.cognition.2024.106048 · Cited by 15
Neural tracking of speech mental imagery during rhythmic inner counting
Lu, L., Wang, Q., Sheng, J., Liu, Z., Qin, L., Li, L., & Gao, J. (2019) · eLife · doi:10.7554/elife.48971 · Cited by 15
Tooming, U., & Miyazono, K. (2020) · Synthese · doi:10.1007/s11229-020-02920-9 · Cited by 15
Metadata
- Authors
- Dijkstra, N., Bosch, S. E., & van Gerven, M. A. J.
- Affiliations
- Radboud University Nijmegen (NL)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2017-01-10
- Volume
- 37
- Issue
- 5
- Pages
- 1367-1373
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6596858
- OpenAlex
- W2570802757
- Cited by
- 315
- References
- 36
- Citations by year
- 2026: 23 · 2025: 35 · 2024: 38 · 2023: 74 · 2022: 38 · 2021: 31 · 2020: 32 · 2019: 25 · 2018: 11 · 2017: 8
- FWCI
- 11.92
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (639.072.513)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Social Sciences › Arts and Humanities › Philosophy › Philosophy and Theoretical Science
- Keywords
- visual imagery, imagery vividness, within-person variability, early visual cortex, frontal cortex, parietal cortex, multivariate analysis, individual differences
- MeSH terms
- Adult, Female, Frontal Lobe, Humans, Imagination, Individuality, Magnetic Resonance Imaging, Male, Memory, Short-Term, Nerve Net, Parietal Lobe, Visual Cortex, Visual Perception, Young Adult
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