The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Knowing Where Things Are: Parahippocampal Involvement in Encoding Object Locations in Virtual Large-Scale Space
Abstract
The involvement of the medial temporal-lobe region in allocentric mapping of the environment has been observed in human lesion and functional imaging work. Cognitive models of environmental learning ascribe a key role to salient landmarks in representing large-scale space. In the present experiments we examined the neural substrates of the topographical memory acquisition process when environmental landmarks were more specifically identifiable. Using positron emission tomography (PET), we measured regional cerebral blood flow changes while normal subjects explored and learned in a virtual reality environment. One experiment involved an environment containing salient objects and textures that could be used to discriminate different rooms. Another experiment involved a plain empty environment in which rooms were distinguishable only by their shape. Learning in both cases activated a network of bilateral occipital, medial parietal, and occipito-temporal regions. The presence of salient objects and textures in an environment additionally resulted in increased activity in the right parahippocampal gyrus. This region was not activated during exploration of the empty environment. These findings suggest that encoding of salient objects into a representation of large-scale space is a critical factor in instigating parahippocampal involvement in topographical memory formation in humans and accords with previous studies implicating parahippocampal areas in the encoding of object location.
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.
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
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
Self-citationObject vision and spatial vision: Two cortical pathways
Mishkin, M., Ungerleider, L. G., & Macko, K. A. (1983) · Trends in Neurosciences · doi:10.1016/0166-2236(83)90190-x · Cited by 2,947
The Development of Spatial Representations of Large-Scale Environments
Siegel, A. W., & White, S. H. (1975) · Advances in Child Development and Behavior · doi:10.1016/s0065-2407(08)60007-5 · Cited by 1,830
Geometric determinants of the place fields of hippocampal neurons
O'Keefe, J., & Burgess, N. (1996) · Nature · doi:10.1038/381425a0 · Cited by 1,166
Self-citationThe mind's eye – precuneus activation in memory-related imagery
Fletcher, P. C., Frith, C. D., Baker, S. C., Shallice, T., Frackowiak, R. S. J., & Dolan, R. J. (1995) · NeuroImage · doi:10.1006/nimg.1995.1025 · Cited by 680 · cited 2×
“Fletcher, Frith, Baker, et al. (1995) cone rmed this in a study where the recall of imageable word pairs, but not nonimageable word pairs, was associated with signie cant activation of the precuneus.”
BackgroundSelf-citationFinding the Building in Wayfinding
Peponis, J., Zimring, C., & Choi, Y. K. (1990) · Environment and Behavior · doi:10.1177/0013916590225001 · Cited by 404
Cited by
Imaging Cognition II: An Empirical Review of 275 PET and fMRI Studies
Cabeza, R., & Nyberg, L. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/08989290051137585 · Cited by 3,598
Self-referential processing in our brain—A meta-analysis of imaging studies on the self
Northoff, G., Heinzel, A., de Greck, M., Bermpohl, F., Dobrowolny, H., & Panksepp, J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.12.002 · Cited by 2,792
Squire, L. R., Stark, C. E. L., & Clark, R. E. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144130 · Cited by 2,680
The human hippocampus and spatial and episodic memory
Burgess, N., Maguire, E. A., & O'Keefe, J. (2002) · Neuron · doi:10.1016/s0896-6273(02)00830-9 · Cited by 2,401
Self-citationBar, M. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1476 · Cited by 1,613
A new neural framework for visuospatial processing
Kravitz, D. J., Saleem, K. S., Baker, C. I., & Mishkin, M. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3008 · Cited by 1,325
Topographical disorientation: a synthesis and taxonomy
Aguirre, G. K. (1999) · Brain · doi:10.1093/brain/122.9.1613 · Cited by 772
Are spatial memories strengthened in the human hippocampus during slow wave sleep?
Peigneux, P., Laureys, S., Fuchs, S., Collette, F., Perrin, F., Reggers, J., Phillips, C., Degueldre, C., Del Fiore, G., Aerts, J., et al. (2004) · Neuron · doi:10.1016/j.neuron.2004.10.007 · Cited by 766
Spatial Cognition and the Brain
Burgess, N. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.002 · Cited by 614
Self-citationA temporoparietal and prefrontal network for retrieving the spatial context of lifelike events
Burgess, N., Maguire, E. A., Spiers, H. J., & O'Keefe, J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0806 · Cited by 502
Self-citationCytology and functionally correlated circuits of human posterior cingulate areas
Vogt, B. A., Vogt, L., & Laureys, S. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.07.048 · Cited by 484
Swainson, R., Hodges, J. R., Galton, C. J., Semple, J., Michael, A., Dunn, B. D., Iddon, J. L., Robbins, T. W., & Sahakian, B. J. (2001) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000051269 · Cited by 375
Viewpoint-Specific Scene Representations in Human Parahippocampal Cortex
Epstein, R., Graham, K. S., & Downing, P. E. (2003) · Neuron · doi:10.1016/s0896-6273(03)00117-x · Cited by 360
Large-scale mirror-symmetry organization of human occipito-temporal object areas
Hasson, U., Harel, M., Levy, I., & Malach, R. (2003) · Neuron · doi:10.1016/s0896-6273(03)00144-2 · Cited by 336
The inhibition of imitative and overlearned responses: a functional double dissociation
Brass, M., Derrfuss, J., & von Cramon, D. Y. (2005) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.06.018 · Cited by 274
Spatial navigation by congenitally blind individuals
Schinazi, V. R., Thrash, T., & Chebat, D. (2016) · WIREs Cognitive Science · doi:10.1002/wcs.1375 · Cited by 227
The Human Hippocampus: Cognitive Maps or Relational Memory?
Kumaran, D., & Maguire, E. A. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.1103-05.2005 · Cited by 218
Self-citationNeural correlates of virtual route reCognition in congenital blindness
Kupers, R., Chebat, D. R., Madsen, K. H., Paulson, O. B., & Ptito, M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1006199107 · Cited by 187
Neural foundations of emerging route knowledge in complex spatial environments
Wolbers, T., Weiller, C., & Büchel, C. (2004) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2004.06.013 · Cited by 146
Dissociable networks involved in spatial and temporal order source retrieval
Ekstrom, A. D., Copara, M. S., Isham, E. A., Wang, W.-C., & Yonelinas, A. P. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.033 · Cited by 135
Lesions Affecting the Parahippocampal Cortex Yield Spatial Memory Deficits in Humans
Ploner, C. J. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.12.1211 · Cited by 132
Spatial knowledge impairment after GPS guided navigation: Eye-tracking study in a virtual town
Hejtmánek, L., Oravcová, I., Motýl, J., Horáček, J., & Fajnerová, I. (2018) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2018.04.006 · Cited by 91
Reagh, Z. M., & Ranganath, C. (2018) · Neuroscience Letters · doi:10.1016/j.neulet.2018.04.050 · Cited by 83
The Neural Basis of Object-Context Relationships on Aesthetic Judgment
Kirk, U. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003754 · Cited by 67
Diminution of context association memory structure in subjects with subjective cognitive decline
Fan, L., Lai, Y., Chen, T., Hsu, Y., Chen, P., Huang, K., Cheng, T., Tseng, W. I., Hua, M., Chen, Y., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24022 · Cited by 40
Remembering forward: Neural correlates of memory and prediction in human motor adaptation
Scheidt, R. A., Zimbelman, J. L., Salowitz, N. M. G., Suminski, A. J., Mosier, K. M., Houk, J., & Simo, L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.072 · Cited by 42
Getting LOST : A conceptual framework for supporting and enhancing spatial navigation in aging
Weisberg, S. M., Ebner, N. C., & Seidler, R. D. (2024) · WIREs Cognitive Science · doi:10.1002/wcs.1669 · Cited by 12
Sulpizio, V., Teghil, A., Pitzalis, S., & Boccia, M. (2024) · Brain Structure and Function · doi:10.1007/s00429-024-02790-8 · Cited by 7
Metadata
- Authors
- Maguire, E. A., Frith, C. D., Burgess, N., Donnett, J. G., & O'Keefe, J.
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press
- Published
- 1998-01
- Volume
- 10
- Issue
- 1
- Pages
- 61-76
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- OpenAlex
- W2120940453
- Cited by
- 357
- References
- 6
- FWCI
- 67.02
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
