The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
The cortical connectivity of the prefrontal cortex in the monkey brain
Open accessAbstract
One dimension of understanding the functions of the prefrontal cortex is knowledge of cortical connectivity. We have surveyed three aspects of prefrontal cortical connections: local projections (within the frontal lobe), the termination patterns of long association (post-Rolandic) projections, and the trajectories of major fiber pathways. The local connections appear to be organized in relation to dorsal (hippocampal origin) and ventral (paleocortical origin) architectonic trends. According to the proposal of a dual origin of the cerebral cortex, cortical areas can be traced as originating from archicortex (hippocampus) on the one hand, and paleocortex, on the other hand, in a stepwise manner (e.g., Sanides, 1969; Pandya and Yeterian, 1985). Prefrontal areas within each trend are connected with less architectonically differentiated areas, and, on the other hand, with more differentiated areas. Such organization may allow for the systematic exchange of information within each architectonic trend. The long connections of the prefrontal cortex with post-Rolandic regions seem to be organized preferentially in relation to dorsal and ventral prefrontal architectonic trends. Prefrontal areas are connected with post-Rolandic auditory, visual and somatosensory association areas, and with multimodal and paralimbic regions. This long connectivity likely works in conjunction with local connections to serve prefrontal cortical functions. The afferent and efferent connections of the prefrontal cortex with post-Rolandic regions are conveyed by specific long association pathways. These pathways as well appear to be organized in relation to dorsal and ventral prefrontal architectonic trends. Finally, although prefrontal areas have preferential connections in relation to dual architectonic trends, it is clear that there are interconnections between and among areas in each trend, which may provide a substrate for the overall integrative function of the prefrontal cortex. Prefrontal corticocortical connectivity may help to elucidate both region-specific and integrative perspectives on the functions of the prefrontal cortex.
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
Object 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
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 6×
“2F) (Arikuni et al., 1994; Barbas, 1988; Barbas and Mesulam, 1981; Barbas and Pandya, 1989; Barbas et al., 1999; Gerbella et al., 2010; Goldman-Rakic et al. 1984; Hackett et al., 1999; Jacobson and Trojanowski, 1977; Morecraft and Van Hoesen, 1993; Pandya et al., 1981; Petrides and Pandya, 1984,…”
BackgroundInfluentialSchmahmann, J. D., & Pandya, D. N. (2006) · doi:10.1093/acprof:oso/9780195104233.001.0001 · Cited by 1,157
Self-citationPetrides, M., & Pandya, D. N. (1999) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.1999.00518.x · Cited by 1,068 · cited 22×
“A detailed comparison of human and macaque monkey prefrontal cortical cytoarchitecture has recently been provided by Petrides and Pandya (1994, 1999, 2002a).”
BackgroundInfluentialSelf-citationInsula of the old world monkey. III: Efferent cortical output and comments on function
Mesulam, M. ‐., & Mufson, E. J. (1982) · Journal of Comparative Neurology · doi:10.1002/cne.902120104 · Cited by 1,013
Petrides, M., & Pandya, D. N. (2002) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2001.02090.x · Cited by 882
Self-citationCingulate cortex of the rhesus monkey: II. Cortical afferents
Vogt, B. A., & Pandya, D. N. (1987) · Journal of Comparative Neurology · doi:10.1002/cne.902620208 · Cited by 854
Self-citationArchitectonic subdivision of the orbital and medial prefrontal cortex in the macaque monkey
Carmichael, S. T., & Price, J. L. (1994) · Journal of Comparative Neurology · doi:10.1002/cne.903460305 · Cited by 656 · cited 1×
“…focused on the anatomical demarcation of distinct prefrontal cortical areas (e.g., Barbas and Pandya, 1989; Bonin and Bailey, 1947; Brodmann, 1909; Carmichael and Price, 1994; Economo and Koskinas, 1925; Mai et al., 2008; Petrides and Pandya, 1994; Sanides, 1969; Sarkissov et al., 1955; Vogt and…”
BackgroundBoussaoud, D., Ungerleider, L. G., & Desimone, R. (1990) · Journal of Comparative Neurology · doi:10.1002/cne.902960311 · Cited by 634 · cited 1×
“Area 45 has paralimbic connections with the insula and with areas TF and TL of the parahippocampal gyrus (Boussaoud et al., 1990; Cavada and GoldmanRakic, 1989; Cipolloni and Pandya, 1999; Gerbella et al., 2010; Lavenex et al., 2002; Lewis and Van Essen, 2000; Maioli et al., 1998; Martin-Elkins and…”
BackgroundCingulate cortex of the rhesus monkey: I. Cytoarchitecture and thalamic afferents
Vogt, B. A., Pandya, D. N., & Rosene, D. L. (1987) · Journal of Comparative Neurology · doi:10.1002/cne.902620207 · Cited by 604
Self-citation
Cited by
The Cognitive Neuroscience of Working Memory
D'Esposito, M., & Postle, B. R. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015031 · Cited by 1,653
Monkey to human comparative anatomy of the frontal lobe association tracts
Thiebaut de Schotten, M., Dell’Acqua, F., Valabregue, R., & Catani, M. (2012) · Cortex · doi:10.1016/j.cortex.2011.10.001 · Cited by 632
Frontal Cortex and the Hierarchical Control of Behavior
Badre, D., & Nee, D. E. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.11.005 · Cited by 611
Understanding the Higher-Order Approach to Consciousness
Brown, R., Lau, H., & LeDoux, J. E. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.06.009 · Cited by 573
Beyond the arcuate fasciculus: consensus and controversy in the connectional anatomy of language
Dick, A. S., & Tremblay, P. (2012) · Brain · doi:10.1093/brain/aws222 · Cited by 470
New insights into the development of the human cerebral cortex
Molnár, Z., Clowry, G. J., Šestan, N., Alzu'bi, A., Bakken, T., Hevner, R. F., Hüppi, P. S., Kostović, I., Rakic, P., Anton, E. S., et al. (2019) · Journal of Anatomy · doi:10.1111/joa.13055 · Cited by 401
Liewald, D., Miller, R., Logothetis, N., Wagner, H.-J., & Schüz, A. (2014) · Biological Cybernetics · doi:10.1007/s00422-014-0626-2 · Cited by 322
In vivo measurement of widespread synaptic loss in Alzheimer’s disease with SV2A PET
Mecca, A. P., Chen, M., O'Dell, R. S., Naganawa, M., Toyonaga, T., Godek, T. A., Harris, J. E., Bartlett, H. H., Zhao, W., Nabulsi, N. B., et al. (2020) · Alzheimer's & Dementia · doi:10.1002/alz.12097 · Cited by 288
Forkel, S. J., Thiebaut de Schotten, M., Kawadler, J. M., Dell'Acqua, F., Danek, A., & Catani, M. (2014) · Cortex · doi:10.1016/j.cortex.2012.09.005 · Cited by 248
Subcomponents and connectivity of the superior longitudinal fasciculus in the human brain
Wang, X., Pathak, S., Stefaneanu, L., Yeh, F.-C., Li, S., & Fernandez-Miranda, J. C. (2016) · Brain Structure and Function · doi:10.1007/s00429-015-1028-5 · Cited by 257
Segregation of the human medial prefrontal cortex in social cognition
Bzdok, D., Langner, R., Schilbach, L., Engemann, D. A., Laird, A. R., Fox, P. T., & Eickhoff, S. B. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00232 · Cited by 229
Triple dissociation of attention and decision computations across prefrontal cortex
Hunt, L. T., Malalasekera, W. M. N., de Berker, A. O., Miranda, B., Farmer, S. F., Behrens, T. E. J., & Kennerley, S. W. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0239-5 · Cited by 222
Jbabdi, S., Lehman, J. F., Haber, S. N., & Behrens, T. E. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2457-12.2013 · Cited by 213
Panagiotaropoulos, T. I., Deco, G., Kapoor, V., & Logothetis, N. K. (2012) · Neuron · doi:10.1016/j.neuron.2012.04.013 · Cited by 198
Lesions of prefrontal cortex reduce attentional modulation of neuronal responses and synchrony in V4
Gregoriou, G. G., Rossi, A. F., Ungerleider, L. G., & Desimone, R. (2014) · Nature Neuroscience · doi:10.1038/nn.3742 · Cited by 177
Functional segregation of the human dorsomedial prefrontal cortex
Eickhoff, S. B., Laird, A. R., Fox, P. T., Bzdok, D., & Hensel, L. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhu250 · Cited by 159
Ceceli, A. O., Bradberry, C. W., & Goldstein, R. Z. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01153-9 · Cited by 150
Neocortical Layer 1: an elegant solution to top-down and bottom-up integration
Schuman, B., Dellal, S., Prönneke, A., Machold, R., & Rudy, B. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-100520-012117 · Cited by 148
Cross, K. A., Torrisi, S., Reynolds Losin, E. A., & Iacoboni, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.060 · Cited by 113
Mandonnet, E., Sarubbo, S., & Petit, L. (2018) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2018.00094 · Cited by 117
From cognitive maps to spatial schemas
Farzanfar, D., Spiers, H. J., Moscovitch, M., & Rosenbaum, R. S. (2023) · Nature Reviews Neuroscience · doi:10.1038/s41583-022-00655-9 · Cited by 115
Disrupted prediction errors index social deficits in autism spectrum disorder
Balsters, J. H., Apps, M. A. J., Bolis, D., Lehner, R., Gallagher, L., & Wenderoth, N. (2017) · Brain · doi:10.1093/brain/aww287 · Cited by 85
Frontal lobe neurology and the creative mind
de Souza, L. C., Guimarães, H. C., Teixeira, A. L., Caramelli, P., Levy, R., Dubois, B., & Volle, E. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00761 · Cited by 86
What makes the dorsomedial frontal cortex active during reading the mental states of others?
Isoda, M., & Noritake, A. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00232 · Cited by 64
Deng, W., Rolls, E. T., Ji, X., Robbins, T. W., Banaschewski, T., Bokde, A. L. W., Bromberg, U., Buechel, C., Desrivières, S., Conrod, P., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23607 · Cited by 57
A dimensional approach to modeling symptoms of neuropsychiatric disorders in the marmoset monkey
Oikonomidis, L., Santangelo, A. M., Shiba, Y., Clarke, F. H., Robbins, T. W., & Roberts, A. C. (2017) · Developmental Neurobiology · doi:10.1002/dneu.22446 · Cited by 54
Ventromedial Prefrontal Cortex Lesions Alter Neural and Physiological Correlates of Anticipation
Motzkin, J. C., Philippi, C. L., Wolf, R. C., Baskaya, M. K., & Koenigs, M. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1446-14.2014 · Cited by 44
Samara, Z., Evers, E. A. T., Peeters, F., Uylings, H. B. M., Rajkowska, G., Ramaekers, J. G., & Stiers, P. (2018) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.01.004 · Cited by 40
Kwok, S. C., Cai, Y., & Buckley, M. J. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.0330-19.2019 · Cited by 28
Metadata
- Authors
- Yeterian, E. H., Pandya, D. N., Tomaiuolo, F., & Petrides, M.
- Venue
- Cortex
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 48
- Issue
- 1
- Pages
- 58-81
- ISSN
- 0010-9452 (ISSN-L)
- OpenAlex
- W2090387448
- Cited by
- 404
- References
- 17
- FWCI
- 11.76
- Type
- journal article
- Language
- en
- Open access
- green
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.