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Convergence of prefrontal and parietal anatomical projections in a connectional hub in the striatum
Open accessAbstract
Visual attentional bias forms for rewarding and punishing stimuli in the environment. While this attentional bias is adaptive in healthy situations, it is maladaptive in disorders such as drug addiction or PTSD. In both these disorders, the ability to exert control over this attentional bias is associated with drug abstinence rates or reduced PTSD symptoms, indicating the interaction of visual attention, cognitive control, and stimulus association. The inferior parietal lobule (IPL) is central to attention, while the prefrontal cortex (PFC) is critical for reward, cognitive control, and attention. Importantly, regions of the IPL and PFC commonly project to the rostral dorsal caudate (rdCaud) of the striatum. We propose an anatomical network architecture in which IPL projections converge with PFC projections in a connectional hub in the rdCaud, providing an anatomical substrate for the interaction of these projections and their competitive influence on striatal processing. To investigate this, we mapped the dense projections from the caudal IPL and prefrontal (dlPFC, vlPFC, OFC, dACC, and dmPFC) regions that project to the medial rdCaud with anatomical tract-tracing tracer injections in monkeys. These inputs converge in a precise site in the medial rdCaud, rostral to the anterior commissure. Small retrograde tracer injections confirmed these inputs to the medial rdCaud and showed that a proximal ventral striatal location has a very different pattern of cortical inputs. We next used human resting-state functional connectivity MRI (fcMRI) to examine whether a striatal hub exists in the human medial rdCaud. Seed regions in the human medial rdCaud revealed cortical correlation maps similar to the monkey retrograde injection results. A subsequent analysis of these correlated cortical regions showed that their peak correlation within the striatum is in the medial rdCaud, indicating that this is a connectional hub. In contrast, this peak striatal correlation was not found in the ventral striatal location, suggesting that this site is not a connectional hub of cortical regions. Taken together, this work uses the precision of monkey anatomy to identify a connectional hub of IPL and PFC projections in the medial rdCaud. It also translates this anatomical precision to humans, demonstrating that, guided by anatomy, connectional hubs can be identified in humans with fcMRI. These connectional hubs provide more specific treatment targets for drug addiction, PTSD, and other neurological and psychiatric disorders involving the striatum.
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“Together, these structures complete a discrete cortico-striatal-thalamic-cortical (CSTC) loop that can be discerned using structural or functional neuroimaging (Seeley et al., 2007; Metzger et al., 2010), and that also corresponds to an analogous loop evident on tract-tracing studies in nonhuman primates (Choi et al., 2016).”
From Cortico-striatal-thalamic loop circuits of the salience network: A central pathway in psychiatric disease and treatment (2016) · cites this paper as Choi et al., 2016
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“suggesting that striatal inputs that mediate and bias attentional salience and cognitive control (Choi et al., 2016).”
From Cortico-striatal-thalamic loop circuits of the salience network: A central pathway in psychiatric disease and treatment (2016) · cites this paper as Choi et al., 2016
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“Recently, the medial rostral dorsal caudate was identified as a site of convergence between the IPL, dlPFC and dACC,”
From Cortico-striatal-thalamic loop circuits of the salience network: A central pathway in psychiatric disease and treatment (2016) · cites this paper as Choi et al., 2016
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Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
Diagnostic and Statistical Manual of Mental Disorders
(2012) · Springer eBooks · doi:10.1007/springerreference_121117 · Cited by 20,772
Guide for the Care and Use of Laboratory Animals: Eighth Edition
(2011) · doi:10.17226/12910 · Cited by 16,199
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
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
Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.015 · Cited by 11,314
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182
Parallel organization of functionally segregated circuits linking basal ganglia and cortex
Alexander, G. E., DeLong, M. R., & Strick, P. L. (1986) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.09.030186.002041 · Cited by 8,527
The neural basis of drug craving: An incentive-sensitization theory of addiction
Robinson, T. (1993) · Brain Research Reviews · doi:10.1016/0165-0173(93)90013-p · Cited by 7,346
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
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Peters, S. K., Dunlop, K., & Downar, J. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2016.00104 · Cited by 611
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Assem, M., Glasser, M. F., Essen, D. C. V., & Duncan, J. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa023 · Cited by 340
Seitzman, B. A., Gratton, C., Marek, S. A., Raut, R. V., Dosenbach, N. U. F., Schlaggar, B. L., Petersen, S. E., & Greene, D. J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116290 · Cited by 262
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Shephard, E., Stern, E. R., van den Heuvel, O. A., Costa, D. L. C., Batistuzzo, M. C., Godoy, P. B. G., Lopes, A. C., Brunoni, A. R., Hoexter, M. Q., Shavitt, R. G., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-01007-8 · Cited by 250
Greene, D. J., Marek, S. A., Gordon, E. M., Siegel, J. S., Gratton, C., Laumann, T. O., Gilmore, A. W., Berg, J. J., Nguyen, A. L., Dierker, D. L., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.11.012 · Cited by 237
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Haber, S. N., Liu, H., Seidlitz, J., & Bullmore, E. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01156-6 · Cited by 129
Self-citationTang, W., Jbabdi, S., Zhu, Z., Cottaar, M., Grisot, G., Lehman, J. F., Yendiki, A., & Haber, S. N. (2019) · eLife · doi:10.7554/elife.43761 · Cited by 127
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Jaeger, S., Paul, F., Scheel, M., Brandt, A. U., Heine, J., Pach, D., Witt, C. M., Bellmann–Strobl, J., & Finke, C. (2018) · Multiple Sclerosis Journal · doi:10.1177/1352458518758911 · Cited by 104
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Duan, L. Y., Horst, N. K., Cranmore, S. A. W., Horiguchi, N., Cardinal, R. N., Roberts, A. C., & Robbins, T. W. (2021) · Neuron · doi:10.1016/j.neuron.2021.06.003 · Cited by 41
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Garner, K., & Dux, P. E. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00653-x · Cited by 45
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Magrou, L., Joyce, M. K. P., Froudist‐Walsh, S., Datta, D., Wang, X., Martínez-Trujillo, J., & Arnsten, A. F. T. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae174 · Cited by 34
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Sportelli, L., Eisenberg, D. P., Passiatore, R., D’Ambrosio, E., Antonucci, L. A., Bettina, J. S., Chen, Q., Goldman, A. L., Gregory, M. D., Griffiths, K., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-47456-5 · Cited by 19
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Borra, E., Biancheri, D., Rizzo, M., Leonardi, F., & Luppino, G. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0071-22.2022 · Cited by 18
Diehl, M. M., Lempert, K. M., Parr, A. C., Ballard, I. C., Steele, V. R., & Smith, D. V. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14083 · Cited by 16
Chen, Y., Li, G., Ide, J. S., Luo, X., & Li, C.-S. R. (2021) · Neuroimage: Reports · doi:10.1016/j.ynirp.2021.100025 · Cited by 16
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McHale-Matthews, A., Cho, Y., & Fudge, J. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0970-21.2021 · Cited by 16
Tang, W., Choi, E. Y., Heilbronner, S. R., & Haber, S. N. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02133-3 · Cited by 13
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Borra, E., Ballestrazzi, G., Biancheri, D., Caminiti, R., & Luppino, G. (2024) · Brain Structure and Function · doi:10.1007/s00429-024-02784-6 · Cited by 8
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Self-citationDarki, F., Sauce, B., Klingberg, T., & for the Pediatric Imaging, N. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz117 · Cited by 11
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Hewitt, M. N., Turner, M. A., Johansen, N., McMillen, D., Dan, S., DeBerardine, M., Ruiz, A., Huang, M., Quon, J. S., Fu, Y., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.22.688128 · Cited by 12
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Trambaiolli, L. R., Maffei, C., Dann, E., Biazoli, C. E., Bezgin, G., Yendiki, A., & Haber, S. N. (2024) · Neuropsychopharmacology · doi:10.1038/s41386-024-01944-w · Cited by 7
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Serranová, T., Sieger, T., Růžička, F., Bakštein, E., Dušek, P., Vostatek, P., Novák, D., Růžička, E., Urgošík, D., & Jech, R. (2019) · Scientific Reports · doi:10.1038/s41598-019-56260-x · Cited by 6
Blostein, N., Devenyi, G. A., Patel, S., Patel, R., Tullo, S., Plitman, E., Costantino, M., Markello, R. D., Parent, O., Bedford, S. A., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.11.487874 · Cited by 6
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Song, M. R., & Lee, S. W. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16426 · Cited by 6
Lynch, C. J., & Liston, C. M. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.025 · Cited by 5
Chumin, E. J., Džemidžić, M., & Yoder, K. K. (2024) · Addiction Biology · doi:10.1111/adb.70008 · Cited by 4
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Lench, D. H., Doolittle, J. D., Ramakrishnan, V., Rowland, N. C., & Revuelta, G. J. (2023) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2023.105952 · Cited by 4
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Darki, F., & Klingberg, T. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.02.054 · Cited by 4
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Gould, S. A., Hodgson, A. R., Clarke, H. F., Robbins, T. W., & Roberts, A. (2024) · eNeuro · doi:10.1523/eneuro.0541-23.2024 · Cited by 3
Guo, R., Teng, J.-F., Wang, Y., Yao, J., Li, X., Wu, B., Sui, J.-F., Long, J.-H., Ou, Z.-Z., He, Z., et al. (2025) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2025.111352 · Cited by 3
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Chafee, M. V. (2022) · Current topics in behavioral neurosciences · doi:10.1007/7854_2022_407 · Cited by 2
Hamker, F. H., Baladron, J., & Janssen, L. K. (2025) · Trends in Neurosciences · doi:10.1016/j.tins.2025.09.006 · Cited by 4
Syed, M. A., Yang, Z., Rangaprakash, D., Hu, X. P., Dretsch, M. N., Katz, J. S., Denney, T. S., & Deshpande, G. (2019) · Neuroinformatics · doi:10.1007/s12021-019-09422-1 · Cited by 2
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Li, X., Li, W., Chen, J., Jin, L. H., Wang, Z., Dang, L., Wang, W., Qin, Y., & Li, Q. (2025) · Addiction Biology · doi:10.1111/adb.70097 · Cited by 1
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Sakakibara, R., Yamamoto, T., & Uchiyama, T. (2026) · Nature Reviews Neurology · doi:10.1038/s41582-025-01181-9 · Cited by 2
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O'Berry, K., & Gittis, A. H. (2026) · Trends in Neurosciences · doi:10.1016/j.tins.2026.05.005 · Cited by 1
Dinh, T., Nerland, S., Maximov, I. I., Barth, C., Vernon, A. C., Agartz, I., & Jørgensen, K. N. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.20.496804 · Cited by 1
Sportelli, L., Eisenberg, D. P., Passiatore, R., D’Ambrosio, E., Antonucci, L. A., Chen, Q., Czarapata, J., Goldman, A. L., Gregory, M. A., Griffiths, K., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.20.558594 · Cited by 1
The development of affective and cognitive striatal neurobiology and connectivity during adolescence
Larsen, B. (2018) · D-Scholarship@Pitt (University of Pittsburgh)
Neurocognitive Investigations of Habitual Behavior Modification
McKim, T. H. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/h5fb-e704
Avram, M., Brandl, F., Knolle, F., Cabello, J., Leucht, C., Scherr, M., Mustafa, M., Koutsouleris, N., Leucht, S., Ziegler, S. I., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/847178
Zhukovsky, P. (2019) · Apollo (University of Cambridge) · doi:10.17863/cam.52099
The Quest for a Selective Mapping Between Striatal Dopamine Subcircuits and Psychosis Symptoms
Wengler, K., & Horga, G. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.09.009
Electrophysiological Substrates of Cognition in the Basal Ganglia and Basal Forebrain
Al‐Ozzi, T. M. (2020) · TSpace (University of Toronto)
Passingham, R. E. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198844570.003.0008
Evolution of the Prefrontal Cortex in Non-human Primates
Passingham, R. E. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198844570.003.0002
Cooper, D. C. (2021) · University of Minnesota Digital Conservancy (University of Minnesota)
Diehl, M. M., Lempert, K. M., Parr, A. C., Ballard, I. C., Steele, V. R., & Smith, D. V. (2018) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/yvds9 · Cited by 2
The circuit mechanisms of working memory: Key roles of the dorsolateral prefrontal cortex
Arnsten, A. F. T., & Martínez-Trujillo, J. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15754-7.00038-9
Cross-species standardised cortico-subcortical tractography
Assimopoulos, S., Warrington, S., Folloni, D., Bryant, K., Mohammadi-Nejad, A.-R., Tang, W., Jbabdi, S., Heilbronner, S. R., Mars, R. B., & Sotiropoulos, S. N. (2025) · eLife · doi:10.7554/elife.107012.3
Cross-species Standardised Cortico-Subcortical TractographyPreprint
Assimopoulos, S., Warrington, S., Folloni, D., Bryant, K., Tang, W., Jbabdi, S., Heilbronner, S. R., Mars, R. B., & Sotiropoulos, S. N. (2025) · eLife · doi:10.7554/elife.107012.1
Cross-species Standardised Cortico-Subcortical TractographyPreprint
Assimopoulos, S., Warrington, S., Folloni, D., Bryant, K., Mohammadi‐Nejad, A., Tang, W., Jbabdi, S., Heilbronner, S. R., Mars, R. B., & Sotiropoulos, S. N. (2025) · eLife · doi:10.7554/elife.107012.2
Wu, M., Ren, H., Wang, X. E., Xu, H., Li, Z., Liu, Y., Li, M., Wu, Q., Liu, T., & Wang, Q. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121346
Blostein, N., Devenyi, G. A., Patel, S., Patel, R., Tullo, S., Plitman, E., Costantino, M., Markello, R. D., Parent, O., Bedford, S. A., et al. (2026) · Communications Biology · doi:10.1038/s42003-026-10066-6 · Cited by 5
Metadata
- Authors
- Choi, E. Y., Tanimura, Y., Vage, P. R., Yates, E. H., & Haber, S. N.
- Affiliations
- University of Rochester Medicine (US)
- Corresponding author
- Haber, Suzanne N.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 146
- Pages
- 821-832
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC5841917
- OpenAlex
- W2520969954
- Cited by
- 101
- References
- 86
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 14 · 2023: 3 · 2022: 11 · 2021: 12 · 2020: 10 · 2019: 15 · 2018: 14 · 2017: 2
- FWCI
- 6.79
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Massachusetts General Hospital
- Harvard University
- National Institute of Mental Health (MH 045573, MH 106435)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- inferior parietal lobule, prefrontal cortex, striatum, visual attention, cognitive control, reward processing, drug addiction, post-traumatic stress disorder, resting-state functional connectivity, neural tracing, ventral striatum
- MeSH terms
- Adult, Animals, Brain Mapping, Caudate Nucleus, Female, Humans, Macaca fascicularis, Macaca mulatta, Macaca nemestrina, Magnetic Resonance Imaging, Male, Neural Pathways, Parietal Lobe, Prefrontal Cortex, Young Adult, Neuroanatomical Tract-Tracing Techniques
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