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The inferior parietal lobule and temporoparietal junction: A network perspective
Abstract
Information processing in specialized, spatially distributed brain networks underlies the diversity and complexity of our cognitive and behavioral repertoire. Networks converge at a small number of hubs - highly connected regions that are central for multimodal integration and higher-order cognition. We review one major network hub of the human brain: the inferior parietal lobule and the overlapping temporoparietal junction (IPL/TPJ). The IPL is greatly expanded in humans compared to other primates and matures late in human development, consistent with its importance in higher-order functions. Evidence from neuroimaging studies suggests that the IPL/TPJ participates in a broad range of behaviors and functions, from bottom-up perception to cognitive capacities that are uniquely human. The organization of the IPL/TPJ is challenging to study due to the complex anatomy and high inter-individual variability of this cortical region. In this review we aimed to synthesize findings from anatomical and functional studies of the IPL/TPJ that used neuroimaging at rest and during a wide range of tasks. The first half of the review describes subdivisions of the IPL/TPJ identified using cytoarchitectonics, resting-state functional connectivity analysis and structural connectivity methods. The second half of the article reviews IPL/TPJ activations and network participation in bottom-up attention, lower-order self-perception, undirected thinking, episodic memory and social cognition. The central theme of this review is to discuss how network nodes within the IPL/TPJ are organized and how they participate in human perception and cognition.
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“Neglect appears to be caused by the disruption of brain networks involved in attention and awareness that pass through the TPJ (Corbetta, 2014; Igelström and Graziano, 2017).”
From The Attention Schema Theory: A Foundation for Engineering Artificial Consciousness (2017) · cites this paper as Igelström and Graziano, 2017
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Cites
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
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
Posner, M. I. (1980) · Quarterly Journal of Experimental Psychology · doi:10.1080/00335558008248231 · Cited by 9,670 · cited 1×
“Posner spatial-cueing tasks (Posner, 1980) have been instrumental in establishing the concept of a VAN.”
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
Does the autistic child have a “theory of mind” ?
Baron-Cohen, S., Leslie, A. M., & Frith, U. (1985) · Cognition · doi:10.1016/0010-0277(85)90022-8 · Cited by 8,599
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426
The episodic buffer: a new component of working memory?
Baddeley, A. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01538-2 · Cited by 7,359 · cited 1×
“Another hypothesis is that the IPL/TPJ may act as an “episodic buffer” to hold and manipulate retrieved information (Baddeley, 2000; Vilberg and Rugg, 2008).”
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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“A complicated literature suggests that, although there is some separation of function among subregions of the TPJ, considerable overlap of function is also present (Mitchell, 2008; Scholz et al., 2009; Igelström et al., 2016; Igelström and Graziano, 2017).”
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Gao, K., Zhang, R., Xu, T., Zhou, F., & Feng, T. (2021) · Human Brain Mapping · doi:10.1002/hbm.25333 · Cited by 66
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Tomiyama, H., Murayama, K., Nemoto, K., Tomita, M., Hasuzawa, S., Mizobe, T., Kato, K., Ohno, A., Tsuruta, S., Togao, O., et al. (2022) · Human Brain Mapping · doi:10.1002/hbm.25699 · Cited by 55
Ramanan, S., Irish, M., Patterson, K. E., Rowe, J. B., Gorno‐Tempini, M. L., & Ralph, M. A. L. (2022) · Brain · doi:10.1093/brain/awac208 · Cited by 52
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Vartanian, O., Wertz, C. J., Flores, R. A., Beatty, E. L., Smith, I., Blackler, K., Lam, Q., & Jung, R. E. (2018) · Human Brain Mapping · doi:10.1002/hbm.24054 · Cited by 53
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Hu, J., Hu, Y., Li, Y., & Zhou, X. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1939-20.2021 · Cited by 53
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Wymbs, N. F., Nebel, M. B., Ewen, J. B., & Mostofsky, S. H. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa380 · Cited by 46
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Frangou, S. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1039-7 · Cited by 37
Cao, W., Liao, H., Cai, S., Peng, W., Liu, Z., Zheng, K., Liu, J., Zhong, M., Tan, C., & Yi, J. (2021) · Human Brain Mapping · doi:10.1002/hbm.25611 · Cited by 37
Quevedo, K. M., Liu, G., Teoh, J. Y., Ghosh, S., Zeffiro, T. A., Ahrweiler, N., Zhang, N., Wedan, R. J., Oh, S., Guercio, G., et al. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100707 · Cited by 40
Wei, Y., Bresser, T., Wassing, R., Stoffers, D., Someren, E. J. W. V., & Foster‐Dingley, J. C. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.102019 · Cited by 36
Engelen, T., Zhan, M., Sack, A. T., & de Gelder, B. (2018) · eNeuro · doi:10.1523/eneuro.0408-17.2018 · Cited by 32
Liu, G., Jiao, K., Zhong, Y., Hao, Z., Wang, C., Xu, H., Teng, C., Song, X., Xiao, C., Fox, P. T., et al. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.113018 · Cited by 34
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Ahmad, N., Zorns, S., Chavarria, K., Brenya, J., Janowska, A., & Keenan, J. P. (2021) · Symmetry · doi:10.3390/sym13112219 · Cited by 33
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Wang, F., Zhang, M., Li, Y., Li, Y., Gong, H., Li, J., Zhang, Y., Zhang, C., Yan, F., Sun, B., et al. (2022) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-21-1137 · Cited by 28
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Koyama, M. S., Molfese, P. J., Milham, M. P., Mencl, W. E., & Pugh, K. R. (2020) · Brain and Language · doi:10.1016/j.bandl.2020.104835 · Cited by 28
Coquelet, N., Wens, V., Mary, A., Niesen, M., Puttaert, D., Ranzini, M., Ghinst, M. V., Bourguignon, M., Peigneux, P., Goldman, S., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-75858-0 · Cited by 26
Mak, M., Faber, M., & Willems, R. M. (2023) · Cortex · doi:10.1016/j.cortex.2023.01.014 · Cited by 28
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Li, J., Gong, H., Xu, H., Ding, Q., He, N., Huang, Y., Jin, Y., Zhang, C., Voon, V., Sun, B., et al. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.01024 · Cited by 29
Zhang, S., Cui, J., Zhang, Z., Wang, Y., Liu, R., Chen, X., Feng, Y., Zhou, J., Zhou, Y., & Wang, G. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.09.107 · Cited by 29
Shaaban, C. E., Rosano, C., Cohen, A. D., Huppert, T., Butters, M. A., Hengenius, J., Parks, W. T., & Catov, J. M. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.637574 · Cited by 27
Wierzba, M., Riegel, M., Wypych, M., Jednoróg, K., Grabowska, A., & Marchewka, A. (2018) · Scientific Reports · doi:10.1038/s41598-018-21857-1 · Cited by 29
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Wang, S., Ding, C., Dou, C., Zhu, Z., Zhang, D., Yi, Q., Wu, H., Xie, L., Zhu, Z., Song, D., et al. (2022) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2022.105896 · Cited by 28
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Määttä, S., Säïsänen, L., Kallioniemi, E., Lakka, T. A., Lintu, N., Haapala, E. A., Koskenkorva, P., Niskanen, E. I., Ferreri, F., & Könönen, M. (2019) · Human Brain Mapping · doi:10.1002/hbm.24525 · Cited by 21
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Li, B., Solanas, M. P., Marrazzo, G., Raman, R., Taubert, N., Giese, M. A., Vogels, R., & de Gelder, B. (2022) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2022.102398 · Cited by 24
Salgues, S., Plancher, G., Jacquot, L., Naveteur, J., Fanuel, L., Galvéz-García, G., & Michael, G. A. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.112880 · Cited by 25
Kurtin, D. L., Violante, I. R., Zimmerman, K. A., Leech, R., Hampshire, A., Patel, M. C., Carmichael, D. W., Sharp, D. J., & Li, L. M. (2021) · Brain stimulation · doi:10.1016/j.brs.2021.08.004 · Cited by 25
Kuang, C., Chen, J., Chen, J., Shi, Y., Huang, H., Jiao, B., Lin, Q., Rao, Y., Liu, W., Zhu, Y., et al. (2022) · Human Brain Mapping · doi:10.1002/hbm.26029 · Cited by 26
Jensen, K. M., Turner, J. A., Uddin, L. Q., Calhoun, V. D., & Iraji, A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.09.612129 · Cited by 23
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Bufacchi, R. J., Battaglia-Mayer, A., Iannetti, G. D., & Caminiti, R. (2023) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2023.102537 · Cited by 22
Visser, D., Verfaillie, S. C. J., Wolters, E. E., Coomans, E. M., Timmers, T., Tuncel, H., Boellaard, R., Golla, S. S. V., Windhorst, A. D., Scheltens, P., et al. (2022) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-021-05669-6 · Cited by 19
Krug, S., Müller, T., Kayali, Ö., Leichter, E., Peschel, S. K. V., Jahn, N., Winter, L., Krüger, T. H. C., Kahl, K. G., Sinke, C., et al. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.07.040 · Cited by 20
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Metadata
- Authors
- Igelström, K. M., & Graziano, M. S. A.
- Affiliations
- Princeton University (US)
- Corresponding author
- Igelström, Kajsa M.
- Venue
- Neuropsychologia
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 105
- Pages
- 70-83
- ISSN
- 0028-3932 (ISSN-L)
- OpenAlex
- W2569940591
- Cited by
- 367
- References
- 191
- Citations by year
- 2026: 30 · 2025: 57 · 2024: 48 · 2023: 36 · 2022: 53 · 2021: 43 · 2020: 45 · 2019: 28 · 2018: 19 · 2017: 8
- FWCI
- 3.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neuropsychologia (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Princeton Neuroscience Institute Innovation Fund
- Simons Foundation (458785)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Spatial Neglect and Hemispheric Dysfunction
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- inferior parietal lobule, temporoparietal junction, brain networks, network hubs, cytoarchitecture, resting-state functional connectivity, structural connectivity, bottom-up attention, self-perception, episodic memory, social cognition, human cognition, human evolution, brain development
- MeSH terms
- Attention, Brain Mapping, Cognition, Humans, Magnetic Resonance Imaging, Models, Neurological, Nerve Net, Parietal Lobe, Temporal Lobe
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