The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Topography of Cognition: Parallel Distributed Networks in Primate Association Cortex
Abstract
The brain's default mode network consists of discrete, bilateral and symmetrical cortical areas, in the medial and lateral parietal, medial prefrontal, and medial and lateral temporal cortices of the human, nonhuman primate, cat, and rodent brains. Its ...Read More
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
Circuitry of Primate Prefrontal Cortex and Regulation of Behavior by Representational Memory
Goldman‐Rakic, P. S. (1987) · Comprehensive Physiology · doi:10.1002/cphy.cp010509 · Cited by 1,960
Self-citationMaunsell, J., & van Essen, D. (1983) · The Journal of Neuroscience · doi:10.1523/jneurosci.03-12-02563.1983 · Cited by 1,602
Concurrent overproduction of synapses in diverse regions of the primate cerebral cortex
Rakic, P., Bourgeois, J.-P., Eckenhoff, M. F., Zecevic, N., & Goldman-Rakic, P. S. (1986) · Science · doi:10.1126/science.3952506 · Cited by 1,133
Self-citationNeuropsychological studies of the frontal lobes.
Stuss, D. T., & Benson, D. F. (1984) · Psychological Bulletin · doi:10.1037/0033-2909.95.1.3 · Cited by 1,073
Cited by
Items 101–153 of 153
Neurobehavioral evidence for changes in dopamine system activity during adolescence
Wahlstrom, D., White, T., & Luciana, M. (2010) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.12.007 · Cited by 277
A common functional brain network for autobiographical, episodic, and semantic memory retrieval
Burianova, H., McIntosh, A. R., & Grady, C. L. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.08.066 · Cited by 283
Phase-coupling of theta–gamma EEG rhythms during short-term memory processing
Schack, B., Vath, N., Petsche, H., Geissler, H.-G., & Möller, E. (2002) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(01)00199-4 · Cited by 281
Functional anatomy of inner speech and auditory verbal imagery
McGuire, P. K., Silbersweig, D. A., Murray, R. M., David, A. S., Frackowiak, R. S. J., & Frith, C. D. (1996) · Psychological Medicine · doi:10.1017/s0033291700033699 · Cited by 277
Frontal Lobe Deficits after Head Injury: Unity and Diversity of Function
Duncan Roger Johnson Michaela Swale, J. (1997) · Cognitive Neuropsychology · doi:10.1080/026432997381420 · Cited by 275
Neurodevelopment and executive function in autism
O'Hearn, K., Asato, M., Ordaz, S., & Luna, B. (2008) · Development and Psychopathology · doi:10.1017/s0954579408000527 · Cited by 274
Tan, H.-Y., Callicott, J. H., & Weinberger, D. R. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm069 · Cited by 266
Li, G., Wang, L., Shi, F., Lyall, A. E., Lin, W., Gilmore, J. H., & Shen, D. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3976-13.2014 · Cited by 251
Basal Ganglia Circuits for Reward Value–Guided Behavior
Hikosaka, O., Kim, H. F., Yasuda, M., & Yamamoto, S. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-013924 · Cited by 259
Pierri, J. N., Volk, C. L. E., Auh, S., Sampson, A., & Lewis, D. A. (2001) · Archives of General Psychiatry · doi:10.1001/archpsyc.58.5.466 · Cited by 257
The sensory nature of mnemonic representation in the primate prefrontal cortex
Constantinidis, C., Franowicz, M. N., & Goldman-Rakic, P. S. (2001) · Nature Neuroscience · doi:10.1038/85179 · Cited by 233
Self-citationQuantitative Architecture Distinguishes Prefrontal Cortical Systems in the Rhesus Monkey
Dombrowski, S. M. (2001) · Cerebral Cortex · doi:10.1093/cercor/11.10.975 · Cited by 240
The development of hub architecture in the human functional brain network
Hwang, K., Hallquist, M. N., & Luna, B. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs227 · Cited by 226
Time‐dependent changes in effective connectivity measured with PET
Friston, K. J., Frith, C. D., & Frackowiak, R. S. J. (1993) · Human Brain Mapping · doi:10.1002/hbm.460010108 · Cited by 226
Delineation of the middle longitudinal fascicle in humans: A quantitative, in vivo, DT-MRI study
Makris, N., Papadimitriou, G. M., Kaiser, J. R., Sorg, S., Kennedy, D. N., & Pandya, D. N. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn124 · Cited by 214
Vermetten, E., & Bremner, J. D. (2002) · Depression and Anxiety · doi:10.1002/da.10017 · Cited by 210
Dehaene, S., Changeux, J.-P., & Naccache, L. (2011) · Research and Perspectives in Neurosciences · doi:10.1007/978-3-642-18015-6_4 · Cited by 209
Bush, G., Spencer, T. J., Holmes, J., Shin, L. M., Valera, E. M., Seidman, L. J., Makris, N., Surman, C., Aleardi, M., Mick, E., et al. (2008) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2007.16 · Cited by 201
Brückner, G., Hausen, D., Härtig, W., Drlicek, M., Arendt, T., & Brauer, K. (1999) · Neuroscience · doi:10.1016/s0306-4522(99)00071-8 · Cited by 196
Bremner, J. D., Vythilingam, M., Vermetten, E., Vaccarino, V., & Charney, D. S. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.4.637 · Cited by 192
Neural basis of the emotional Stroop interference effect in major depression
Mitterschiffthaler, M. T., Williams, S. C. R., Walsh, N. D., Cleare, A. J., Donaldson, C., Scott, J., & Fu, C. H. Y. (2008) · Psychological Medicine · doi:10.1017/s0033291707001523 · Cited by 190
Krienen, F. M., Yeo, B. T. T., Ge, T., Buckner, R. L., & Sherwood, C. C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1510903113 · Cited by 190
A Neuronal Model of a Global Workspace in Effortful Cognitive Tasks
DEHAENE, S., KERSZBERG, M., & CHANGEUX, J. (2001) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2001.tb05714.x · Cited by 190
Scholtens, L. H., Schmidt, R., de Reus, M. A., & van den Heuvel, M. P. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.0752-14.2014 · Cited by 160
Towards Conceptualizing a Neural Systems-Based Anatomy of Attention-Deficit/Hyperactivity Disorder
Makris, N., Biederman, J., Monuteaux, M. C., & Seidman, L. J. (2009) · Developmental Neuroscience · doi:10.1159/000207492 · Cited by 178
(2004) · Cited by 168
ERP correlates of impaired error monitoring in children with ADHD
Wiersema, J. R., van der Meere, J. J., & Roeyers, H. (2005) · Journal of Neural Transmission · doi:10.1007/s00702-005-0276-6 · Cited by 166
Hof, P. R., Nimchinsky, E. A., & Morrison, J. H. (1995) · Journal of Comparative Neurology · doi:10.1002/cne.903620107 · Cited by 159
Investigating a network model of word generation with positron emission tomography
(1991) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.1991.0057 · Cited by 165
Bowley, M. P., Cabral, H., Rosene, D. L., & Peters, A. (2010) · Journal of Comparative Neurology · doi:10.1002/cne.22379 · Cited by 162
“Each photograph was printed using a Kodak PS 8650 color printer, and the cross-sectional area of the corpus callosum in its entirety traced onto a sheet of acetate. Tracings were then scanned into a Power Macintosh 8650/300 using an Agfa Arcus II scanner. The genu of each corpus callosum was defined following criteria…”
MethodBraga, R. M., Van Dijk, K. R. A., Polimeni, J. R., Eldaief, M. C., & Buckner, R. L. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00808.2018 · Cited by 162
The impact of moderate sleep loss on neurophysiologic signals during working-memory task performance
Smith, M. E., McEvoy, L. K., & Gevins, A. (2002) · Sleep · doi:10.1093/sleep/25.7.56 · Cited by 157
Inhibition and Interference in Selective Attention: Some Tests of a Neural Network Model
Houghton, G., Tipper, S. P., Weaver, B., & Shore, D. I. (1996) · Visual Cognition · doi:10.1080/713756733 · Cited by 144
Iacoboni, M., Woods, R. P., & Mazziotta, J. C. (1996) · Journal of Neurophysiology · doi:10.1152/jn.1996.76.1.321 · Cited by 135
Baddeley, A. (1998) · Comptes Rendus de l'Académie des Sciences - Series III - Sciences de la Vie · doi:10.1016/s0764-4469(97)89817-4 · Cited by 125
Implications of neural networks for how we think about brain function
Robinson, D. A. (1992) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00072563 · Cited by 107
Kohn, N., Kellermann, T., Gur, R. C., Schneider, F., & Habel, U. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.02.010 · Cited by 102
Hanlon, C. A., Canterberry, M., Taylor, J. J., DeVries, W., Li, X., Brown, T. R., & George, M. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067917 · Cited by 80
Local and long-distance organization of prefrontal cortex circuits in the marmoset brain
Watakabe, A., Skibbe, H., Nakae, K., Abe, H., Ichinohe, N., Rachmadi, M. F., Wang, J., Takaji, M., Mizukami, H., Woodward, A., et al. (2023) · Neuron · doi:10.1016/j.neuron.2023.04.028 · Cited by 64
Depersonalization Disorder: A Functional Neuroanatomical Perspective
Phillips, M. L., & Sierra, M. (2003) · Stress · doi:10.1080/1025389031000138538 · Cited by 62
The Prevalence and Longitudinal Course of PTSD: Implications for the Neurobiological Models of PTSD
MCFARLANE, A. C. (1997) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1997.tb48265.x · Cited by 60
Time and frequency analysis of the brain’s distributed gamma-band system.
Basar, E., Basar-Eroglu, C., Demiralp, T., & Schurmann, M. (1995) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/51.395322 · Cited by 57
The neuroanatomy of schizophrenia: circuitry and neurotransmitter systems
Fallon, J. H., Opole, I. O., & Potkin, S. G. (2003) · Clinical Neuroscience Research · doi:10.1016/s1566-2772(03)00022-7 · Cited by 53
Intrinsic functional connectivity is organized as three interdependent gradients
Zhang, J., Abiose, O., Katsumi, Y., Touroutoglou, A., Dickerson, B. C., & Barrett, L. F. (2019) · Scientific Reports · doi:10.1038/s41598-019-51793-7 · Cited by 47
Neural activity associated with self-reflection
Herwig, U., Kaffenberger, T., Schell, C., Jäncke, L., & Brühl, A. B. (2012) · BMC Neuroscience · doi:10.1186/1471-2202-13-52 · Cited by 50
Huntley, G. W., Vickers, J. C., & Morrison, J. H. (1997) · Brain Research · doi:10.1016/s0006-8993(96)00847-5 · Cited by 47
Heilman, K. M., Bowers, D., Watson, R. T., Day, A., Valenstein, E., Hammond, E., & Duara, R. (1990) · Neuropsychologia · doi:10.1016/0028-3932(90)90098-9 · Cited by 44
Hypnotizability and CSF HVA levels among psychiatric patients
Spiegel, D., & King, R. (1992) · Biological Psychiatry · doi:10.1016/0006-3223(92)90009-o · Cited by 43
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
Changeux, J.-P. (2006) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2006.1832 · Cited by 31
A Strong Constraint to the Joint Processing of Pairs of Cortical Signals
Ghose, K., & Maunsell, J. H. R. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2186-12.2012 · Cited by 11
Vascular cognitive impairment: prodrome to VaD?
Mayda, A., & DeCarli, C. (2009) · Vascular Cognitive Impairment in Clinical Practice · doi:10.1017/cbo9780511575976.003 · Cited by 7
(1996) · doi:10.1002/(sici)1097-0193(1996)4:3<174::aid-hbm3>3.0.co;2-0
Metadata
- Authors
- Goldman-Rakic, P. S.
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 1988-03
- Volume
- 11
- Issue
- 1
- Pages
- 137-156
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- OpenAlex
- W1975201511
- Cited by
- 1,660
- References
- 4
- FWCI
- 36.24
- 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.