The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Interaction of Stimulus-Driven Reorienting and Expectation in Ventral and Dorsal Frontoparietal and Basal Ganglia-Cortical Networks
Open accessAbstract
Shifts of attention to unattended stimuli (stimulus-driven reorienting) are often studied by measuring responses to unexpected stimuli, confounding reorienting and expectation. We separately measured the blood-oxygenation-level-dependent signal for both factors by manipulating the probability of salient visual cues that either shifted attention away from or maintained attention on a stream of visual stimuli. The results distinguished three networks recruited by reorienting. Right temporoparietal junction (TPJ), the posterior core of a ventral frontoparietal network, was activated more by cues for shifting than maintaining attention independently of cue location and probability, acting as a switch. TPJ was separately modulated by low probability cues, which signaled a breach of spatial expectation, independently of whether they shifted attention. Under resting conditions, TPJ activity was correlated [resting-state functional connectivity magnetic resonance imaging, (rs-fcMRI)] with right inferior frontal gyrus (IFG), an anterior component of the ventral network. Nevertheless, IFG was activated only by unexpected shifts of attention, dissociating its function from TPJ. Basal ganglia and frontal/insula regions also were activated only when reorienting was unexpected but showed strong rs-fcMRI among themselves, not with TPJ/IFG, defining a distinct network that may retrieve/activate commands for shifting attention. Within dorsal frontoparietal regions, shifting attention produced sustained spatially selective modulations in intraparietal sulcus (IPS) and frontal-eye field (FEF), and transient less selective modulations in precuneus and FEF. Modulations were observed even when reorienting was likely, but increased when reorienting was unexpected. The latter result may partly reflect interactions with lateral prefrontal components of the basal-ganglia/frontal/insula network that showed significant rs-fcMRI with the dorsal network.
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
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
Self-citationParallel 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
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
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
Functional architecture of basal ganglia circuits: neural substrates of parallel processing
Alexander, G. E., & Crutcher, M. D. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90107-l · Cited by 4,131
The reorienting system of the human brain: from environment to theory of mind
Corbetta, M., Patel, G., & Shulman, G. L. (2008) · Neuron · doi:10.1016/j.neuron.2008.04.017 · Cited by 3,889
Self-citationForman, S. D., Cohen, J. D., Fitzgerald, M., Eddy, W. F., Mintun, M. A., & Noll, D. C. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910330508 · Cited by 3,202
Functional anatomy of the basal ganglia. I. The cortico-basal ganglia-thalamo-cortical loop
Parent, A., & Hazrati, L.-N. (1995) · Brain Research Reviews · doi:10.1016/0165-0173(94)00007-c · Cited by 2,161
Mechanisms of visual attention in the human cortex
Ungerleider, S. K. A. L. G. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.315 · Cited by 2,159
Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems
Fox, M. D., Corbetta, M., Snyder, A. Z., Vincent, J. L., & Raichle, M. E. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604187103 · Cited by 2,101
Self-citation
Cited by
Large-scale brain networks in cognition: emerging methods and principles
Bressler, S. L., & Menon, V. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.04.004 · Cited by 2,348
Spatial Neglect and Attention Networks
Corbetta, M., & Shulman, G. L. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113731 · Cited by 1,318
Self-citationModelling neural correlates of working memory: A coordinate-based meta-analysis
Rottschy, C., Langner, R., Dogan, I., Reetz, K., Laird, A. R., Schulz, J. B., Fox, P. T., & Eickhoff, S. B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.050 · Cited by 951
Large-scale brain systems in ADHD: beyond the prefrontal–striatal model
Castellanos, F. X., & Proal, E. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.11.007 · Cited by 831
The role of PFC networks in cognitive control and executive function
Menon, V., & D’Esposito, M. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01152-w · Cited by 654
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
Levy, B. J., & Wagner, A. D. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.05958.x · Cited by 625
Developing Mechanisms of Self-Regulation in Early Life
Rothbart, M. K., Sheese, B. E., Rueda, M. R., & Posner, M. I. (2011) · Emotion Review · doi:10.1177/1754073910387943 · Cited by 538
“Support for this view comes in part from a study of adults (Shulman et al., 2009) in which the presentation of a novel object recruits the executive network (cingulo-opercular network in their terms) to supplement the orienting network (ventral parietal frontal network in their terms).”
BackgroundA role of right middle frontal gyrus in reorienting of attention: a case study
Japee, S., Holiday, K., Satyshur, M. D., Mukai, I., & Ungerleider, L. G. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00023 · Cited by 479
Re-evaluating the role of TPJ in attentional control: Contextual updating?
Geng, J. J., & Vossel, S. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.08.010 · Cited by 411
Cognitive contributions of the ventral parietal cortex: an integrative theoretical account
Cabeza, R., Ciaramelli, E., & Moscovitch, M. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.04.008 · Cited by 373
Attention-Deficit/Hyperactivity Disorder and Attention Networks
Bush, G. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.120 · Cited by 358
Santiesteban (2012) · doi:10.1016/j.cub.2012.10.018 · Cited by 357
Rubia, K., Alegria, A. A., Cubillo, A. I., Smith, A. B., Brammer, M. J., & Radua, J. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.10.016 · Cited by 315
Cingulate, Frontal, and Parietal Cortical Dysfunction in Attention-Deficit/Hyperactivity Disorder
Bush, G. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.01.022 · Cited by 304
Touroutoglou, A., Hollenbeck, M., Dickerson, B. C., & Feldman Barrett, L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.012 · Cited by 276
Proal, E. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.117 · Cited by 207
Posner, M. I. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.040 · Cited by 151
Rubia, K., Lim, L., Ecker, C., Halari, R., Giampietro, V., Simmons, A., Brammer, M., & Smith, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.078 · Cited by 133
Worringer, B., Langner, R., Koch, I., Eickhoff, S. B., Eickhoff, C. R., & Binkofski, F. C. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01870-4 · Cited by 126
Bast, N., Poustka, L., & Freitag, C. M. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.13795 · Cited by 121
Functional evolution of new and expanded attention networks in humans
Patel, G. H., Yang, D., Jamerson, E. C., Snyder, L. H., Corbetta, M., & Ferrera, V. P. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1420395112 · Cited by 116
Self-citationCortical coupling reflects Bayesian belief updating in the deployment of spatial attention
Vossel, S., Mathys, C., Stephan, K. E., & Friston, K. J. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.1382-15.2015 · Cited by 99
Bollinger, J., Rubens, M. T., Zanto, T. P., & Gazzaley, A. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.1547-10.2010 · Cited by 97
Tamber-Rosenau, B. J., Asplund, C. L., & Marois, R. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00506.2018 · Cited by 63
Raber, J., Arzy, S., Bertolus, J. B., Depue, B., Haas, H. E., Hofmann, S. G., Kangas, M., Kensinger, E., Lowry, C. A., Marusak, H. A., et al. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.03.015 · Cited by 62
“involve coordination between the more anterior regions of DLPFC and VLPFC, suggestive of communication between the two systems to accomplish task related goals (Shulman et al., 2009).”
Petrican, R., Taylor, M. J., & Grady, C. L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.025 · Cited by 43
Brain mechanisms supporting violated expectations of pain
Zeidan, F., Lobanov, O. V., Kraft, R. A., & Coghill, R. C. (2015) · Pain · doi:10.1097/j.pain.0000000000000231 · Cited by 41
Lin, H.-Y., & Gau, S. S.-F. (2016) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyv094 · Cited by 37
Apolipoprotein E ε4-related thickening of the cerebral cortex modulates selective attention
Espeseth, T., Westlye, L. T., Walhovd, K. B., Fjell, A. M., Endestad, T., Rootwelt, H., & Reinvang, I. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.12.027 · Cited by 32
Wang, X., Cao, Q., Wang, J., Wu, Z., Wang, P., Sun, L., Cai, T., & Wang, Y. (2016) · Behaviour Research and Therapy · doi:10.1016/j.brat.2015.11.003 · Cited by 21
Episodic Memory in Healthy Older Adults: The Role of Prefrontal and Parietal Cortices
Rajah, M. N., Maillet, D., & Grady, C. L. (2015) · The Wiley Handbook on the Cognitive Neuroscience of Memory · doi:10.1002/9781118332634.ch17 · Cited by 9
Emergency braking evoked brain activities during distracted driving
Shi, C., Yan, L., Zhang, J., Cheng, Y., Peng, F., & Yan, F. (2022) · Sensors · doi:10.3390/s22239564 · Cited by 4
Metadata
- Authors
- Shulman, G. L., Astafiev, S. V., Franke, D., Pope, D. L. W., Snyder, A. Z., McAvoy, M. P., & Corbetta, M.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2009-04-08
- Volume
- 29
- Issue
- 14
- Pages
- 4392-4407
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2053651913
- Cited by
- 362
- References
- 28
- FWCI
- 12.79
- Type
- journal article
- Language
- en
- Open access
- hybrid
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.