The DOI matches its Crossref record; 161 of the 161 references it cites were found in a registry or an index.
Spatial Neglect and Attention Networks
Open accessAbstract
Unilateral spatial neglect is a common neurological syndrome following predominantly right hemisphere injuries and is characterized by both spatial and non-spatial deficits. Core spatial deficits involve mechanisms for saliency coding, spatial attention, and short-term memory and occur in conjunction with nonspatial deficits that involve reorienting, target detection, and arousal/vigilance. We argue that neglect is better explained by the dysfunction of distributed cortical networks for the control of attention than by structural damage of specific brain regions. Ventral lesions in right parietal, temporal, and frontal cortex that cause neglect directly impair nonspatial functions partly mediated by a ventral frontoparietal attention network. Structural damage in ventral cortex also induces physiological abnormalities of task-evoked activity and functional connectivity in a dorsal frontoparietal network that controls spatial attention. The anatomy and right hemisphere dominance of neglect follow from the anatomy and laterality of the ventral regions that interact with the dorsal attention 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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“The dorsal and ventral attention networks have been shown to co-activate during reorienting of visuospatial attention (Corbetta and Shulman 2011), and the ventral frontal cortical regions, including the PMV, may mediate the interaction between the systems (Vossel et al. 2014).”
From Neuroanatomical correlates of peripersonal space: bridging the gap between perception, action, emotion and social cognition (2024) · cites this paper as Corbetta and Shulman 2011
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-citationThe attention system of the human brain
Posner, M. I., & Petersen, S. E. (1990) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.13.030190.000325 · Cited by 8,070
Aston-Jones, G., & Cohen, J. D. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135709 · Cited by 4,472
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-citationShifts in Selective Visual Attention: Towards the Underlying Neural Circuitry
Koch, C., & Ullman, S. (1987) · Springer eBooks · doi:10.1007/978-94-009-3833-5_5 · Cited by 3,762
Inhibition and the right inferior frontal cortex
Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.02.010 · Cited by 3,197
Gazzaniga, M. S., & Bizzi, E. (2000) · Cited by 2,547
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 2×
“Perhaps the most widely accepted, standard theory of neglect postulates that the right hemisphere controls shifts of attention to both sides of space. while the left hemisphere only controls attention to the right side (Mesulam 1981).”
Effects of parietal injury on covert orienting of attention
Posner, M., Walker, J., Friedrich, F., & Rafal, R. (1984) · The Journal of Neuroscience · doi:10.1523/jneurosci.04-07-01863.1984 · Cited by 2,191
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
Research works printed but not linked: 5
- 10.1037//0096-3445.128.4.450 · DOI
- Heilman KM, 1987, The Handbook of Physiology. Section 1: The Nervous System. Volume V. Higher Functions of the Brain Part 2, 461
- Koch C, 1985, Hum. Neurobiol., 4, 219
- O'Keefe J., 2006, The Hippocampus Book, 475
- Thimm M, 2008, Restor. Neurol. Neurosci., 26, 481
Cited by
Sorted by citations
Fractionating theory of mind: a meta-analysis of functional brain imaging studies
Schurz, M., Radua, J., Aichhorn, M., Richlan, F., & Perner, J. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.01.009 · Cited by 1,656
Dorsal and Ventral Attention Systems: Distinct Neural Circuits but Collaborative Roles
Vossel, S., Geng, J. J., & Fink, G. R. (2014) · The Neuroscientist · doi:10.1177/1073858413494269 · Cited by 1,438
Controllability of structural brain networks
Gu, S., Pasqualetti, F., Cieslak, M., Telesford, Q. K., Yu, A. B., Kahn, A. E., Medaglia, J. D., Vettel, J. M., Miller, M. B., Grafton, S. T., et al. (2015) · Nature Communications · doi:10.1038/ncomms9414 · Cited by 912
Brain mechanisms for emotional influences on perception and attention: What is magic and what is not
Pourtois, G., Schettino, A., & Vuilleumier, P. (2013) · Biological Psychology · doi:10.1016/j.biopsycho.2012.02.007 · Cited by 687
Towards a universal taxonomy of macro-scale functional human brain networks
Uddin, L. Q., Yeo, B. T. T., & Spreng, R. N. (2019) · Brain Topography · doi:10.1007/s10548-019-00744-6 · Cited by 683
Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke
Siegel, J. S., Ramsey, L. E., Snyder, A. Z., Metcalf, N. V., Chacko, R. V., Weinberger, K., Baldassarre, A., Hacker, C. D., Shulman, G. L., & Corbetta, M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1521083113 · Cited by 656
Self-citationThe 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
No one knows what attention is
Hommel, B., Chapman, C. S., Cisek, P., Neyedli, H. F., Song, J., & Welsh, T. N. (2019) · Attention Perception & Psychophysics · doi:10.3758/s13414-019-01846-w · Cited by 663
Salience network integrity predicts default mode network function after traumatic brain injury
Bonnelle, V., Ham, T. E., Leech, R., Kinnunen, K. M., Mehta, M. A., Greenwood, R. J., & Sharp, D. J. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113455109 · Cited by 606
Boly, M., Massimini, M., Tsuchiya, N., Postle, B. R., Koch, C., & Tononi, G. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3218-16.2017 · Cited by 557
A Causal Link between Visual Spatial Attention and Reading Acquisition
Franceschini, S., Gori, S., Ruffino, M., Pedrolli, K., & Facoetti, A. (2012) · Current Biology · doi:10.1016/j.cub.2012.03.013 · Cited by 528
Alnæs, D., Sneve, M. H., Espeseth, T., Endestad, T., van de Pavert, S. H., & Laeng, B. (2014) · Journal of Vision · doi:10.1167/14.4.1 · Cited by 538
A nexus model of the temporal–parietal junction
Carter, R. M., & Huettel, S. A. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.05.007 · Cited by 489
Stroke, Cognitive Deficits, and Rehabilitation: Still an Incomplete Picture
Cumming, T. B., Marshall, R. S., & Lazar, R. M. (2012) · International Journal of Stroke · doi:10.1111/j.1747-4949.2012.00972.x · Cited by 435
Two distinct forms of functional lateralization in the human brain
Gotts, S. J., Jo, H. J., Wallace, G. L., Saad, Z. S., Cox, R. W., & Martin, A. D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1302581110 · Cited by 433
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
The anatomy of spatial neglect
Karnath, H., & Rorden, C. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.06.027 · Cited by 401
Criaud, M., & Boulinguez, P. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.11.003 · Cited by 368
Babiloni, C., Lizio, R., Marzano, N., Capotosto, P., Soricelli, A., Triggiani, A. I., Cordone, S., Gesualdo, L., & Percio, C. D. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2015.02.008 · Cited by 388
Nielsen, J. A., Zielinski, B. A., Ferguson, M. A., Lainhart, J. E., & Anderson, J. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071275 · Cited by 339
Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI
Bréchet, L., Brunet, D., Birot, G., Rolf Gruetter, A., Michel, C. M., & Jorge, J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.03.029 · Cited by 339
Why use a connectivity-based approach to study stroke and recovery of function?
Carter, A. R., Shulman, G. L., & Corbetta, M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.070 · Cited by 333
Self-citationDynamics of cognitive control: Theoretical bases, paradigms, and a view for the future
Gratton, G., Cooper, P., Fabiani, M., Carter, C. S., & Karayanidis, F. (2018) · Psychophysiology · doi:10.1111/psyp.13016 · Cited by 255
Consciousness in humans and non-human animals: recent advances and future directions
Boly, M., Seth, A. K., Wilke, M., Ingmundson, P., Baars, B., Laureys, S., Edelman, D. B., & Tsuchiya, N. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00625 · Cited by 291
Functions of the human frontoparietal attention network: Evidence from neuroimaging
Scolari, M., Seidl-Rathkopf, K., & Kästner, S. (2014) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2014.08.003 · Cited by 307
A human brain network derived from coma-causing brainstem lesions
Fischer, D. B., Boes, A. D., Demertzi, A., Evrard, H. C., Laureys, S., Edlow, B. L., Liu, H., Saper, C. B., Pascual-Leone, A., Fox, M. D., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000003404 · Cited by 283
Recent theoretical, neural, and clinical advances in sustained attention research
Fortenbaugh, F. C., Degutis, J. M., & Esterman, M. S. (2017) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13318 · Cited by 307
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
Taxonomic and thematic semantic systems.
Mirman, D., Landrigan, J.-F., & Britt, A. E. (2017) · Psychological Bulletin · doi:10.1037/bul0000092 · Cited by 265
Kim, H. (2013) · Human Brain Mapping · doi:10.1002/hbm.22326 · Cited by 248
Gori, S., & Facoetti, A. (2015) · Journal of Vision · doi:10.1167/15.1.8 · Cited by 254
Brain plasticity-based therapeutics
Merzenich, M. M., Vleet, T. V., & Nahum, M. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00385 · Cited by 261
Complementary hemispheric specialization for language production and visuospatial attention
Cai, Q., der Haegen, L. V., & Brysbaert, M. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1212956110 · Cited by 223
Brain networks of visuospatial attention and their disruption in visual neglect
Bartolomeo, P., de Schotten, M. T., & Chica, A. B. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00110 · Cited by 242
Sezer, I., Pizzagalli, D. A., & Sacchet, M. D. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104583 · Cited by 214
“Additionally, the networks described using this framework are thought to have similar roles involving attentional processes, although the FPN is thought to be more so involved in higher-order cognitive processes — including cognitive control — than the DAN (Corbetta and Shulman, 2011).”
BackgroundCognitive functions of the posterior parietal cortex: top-down and bottom-up attentional control
Shomstein, S. (2012) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2012.00038 · Cited by 209
Paulesu, E., Danelli, L., & Berlingeri, M. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00830 · Cited by 224
Vossel, S., Weidner, R., Driver, J., Friston, K. J., & Fink, G. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0414-12.2012 · Cited by 206
Prevalence of spatial neglect post-stroke: A systematic review
Esposito, E., Shekhtman, G., & Chen, P. (2021) · Annals of Physical and Rehabilitation Medicine · doi:10.1016/j.rehab.2020.10.010 · Cited by 195
Altering Spatial Priority Maps via Reward-Based Learning
Chelazzi, L., E to inova, J., Calletti, R., Lo Gerfo, E., Sani, I., Della Libera, C., & Santandrea, E. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0277-14.2014 · Cited by 195
Vernet, M., Quentin, R., Chanes, L., Mitsumasu, A., & Valero‐Cabré, A. (2014) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2014.00088 · Cited by 194
Disrupted network architecture of the resting brain in attention‐deficit/hyperactivity disorder
Sripada, C., Kessler, D. A., Fang, Y., Welsh, R. C., Kumar, K. P., & Angstadt, M. (2014) · Human Brain Mapping · doi:10.1002/hbm.22504 · Cited by 202
Specialization of reach function in human posterior parietal cortex
Vesia, M., & Crawford, J. D. (2012) · Experimental Brain Research · doi:10.1007/s00221-012-3158-9 · Cited by 191
Large-scale changes in network interactions as a physiological signature of spatial neglect
Baldassarre, A., Ramsey, L., Hacker, C. L., Callejas, A., Astafiev, S. V., Metcalf, N. V., Zinn, K., Rengachary, J., Snyder, A. Z., Carter, A. R., et al. (2014) · Brain · doi:10.1093/brain/awu297 · Cited by 189
Self-citationRoelfsema, P. R., & Treue, S. (2014) · Neuron · doi:10.1016/j.neuron.2014.06.003 · Cited by 189
Nakajima, R., Kinoshita, M., Shinohara, H., & Nakada, M. (2019) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00187-4 · Cited by 176
Functional segregation and integration within fronto-parietal networks
Parlatini, V., Raduà, J., Dell’Acqua, F., Leslie, A., Simmons, A., Murphy, D., Catani, M., & de Schotten, M. T. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.031 · Cited by 179
Wetherill, R. R., Squeglia, L. M., Yang, T. T., & Tapert, S. F. (2013) · Psychopharmacology · doi:10.1007/s00213-013-3198-2 · Cited by 186
The Neurology of Consciousness
Tononi, G., Boly, M., Gosseries, O., & Laureys, S. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-800948-2.00025-x · Cited by 178
Kucyi, A., Hodaie, M., & Davis, K. D. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00674.2012 · Cited by 180
Liu, Y., Bengson, J., Huang, H., Mangun, G., & Ding, M. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu204 · Cited by 167
Cortico-limbic morphology separates tinnitus from tinnitus distress
Leaver, A. M., Seydell‐Greenwald, A., Turesky, T. K., Morgan, S., Kim, H. J., & Rauschecker, J. P. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00021 · Cited by 173
Cause or consequence? Alpha oscillations in visuospatial attention
Peylo, C., Hilla, Y., & Sauseng, P. (2021) · Trends in Neurosciences · doi:10.1016/j.tins.2021.05.004 · Cited by 179
Northoff, G., & Duncan, N. W. (2016) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2016.08.003 · Cited by 163
Neglect and Extinction Depend Greatly on Task Demands: A Review
Bonato, M. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00195 · Cited by 163
Molenberghs, P., Sale, M. V., & Mattingley, J. B. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00078 · Cited by 156
A Behavioral Analysis of Spatial Neglect and its Recovery After Stroke
Rengachary, J., He, B., Shulman, G., & Corbetta, M. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00029 · Cited by 160
Self-citationThe evolution of the temporoparietal junction and posterior superior temporal sulcus
Patel, G. H., Sestieri, C., & Corbetta, M. (2019) · Cortex · doi:10.1016/j.cortex.2019.01.026 · Cited by 168
Self-citationHartwigsen, G., Neef, N. E., Camilleri, J. A., Margulies, D. S., & Eickhoff, S. B. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy049 · Cited by 167
Posner, M. I. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.040 · Cited by 151
Computational Neuropsychology and Bayesian Inference
Parr, T., Rees, G. E., & Friston, K. J. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00061 · Cited by 158
Floris, D. L., Barber, A. D., Nebel, M. B., Martinelli, M., Lai, M., Crocetti, D., Baron‐Cohen, S., Suckling, J., Pekar, J. J., & Mostofsky, S. H. (2016) · Molecular Autism · doi:10.1186/s13229-016-0096-6 · Cited by 154
Andrewes, D. G., & Jenkins, L. M. (2019) · Neuropsychology Review · doi:10.1007/s11065-019-09398-4 · Cited by 169
The State of Resting State Networks
Seitzman, B. A., Snyder, A. Z., Leuthardt, E. C., & Shimony, J. S. (2019) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0000000000000214 · Cited by 153
The neural basis of impaired self-awareness after traumatic brain injury
Ham, T. E., Bonnelle, V., Hellyer, P. J., Jilka, S., Robertson, I. H., Leech, R., & Sharp, D. J. (2013) · Brain · doi:10.1093/brain/awt350 · Cited by 147
Chechlacz, M., Rotshtein, P., & Humphreys, G. W. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00230 · Cited by 130
Prefrontal connectomics: From anatomy to human imaging
Haber, S. N., Liu, H., Seidlitz, J., & Bullmore, E. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01156-6 · Cited by 129
Assessment and rehabilitation of neglect using virtual reality: a systematic review
Pedroli, E., Serino, S., Cipresso, P., Pallavicini, F., & Riva, G. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00226 · Cited by 134
Loughnane, G. M., Newman, D. P., Bellgrove, M. A., Lalor, E. C., Kelly, S. P., & O’Connell, R. G. (2016) · Current Biology · doi:10.1016/j.cub.2015.12.049 · Cited by 113
Normalization of network connectivity in hemispatial neglect recovery
Ramsey, L., Siegel, J. S., Baldassarre, A., Metcalf, N. V., Zinn, K., Shulman, G. L., & Corbetta, M. (2016) · Annals of Neurology · doi:10.1002/ana.24690 · Cited by 122
Self-citationOrekhova, E. V., & Stroganova, T. A. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00034 · Cited by 124
Nijboer, T. C. W., Kollen, B. J., & Kwakkel, G. (2014) · PLoS ONE · doi:10.1371/journal.pone.0100584 · Cited by 116
Reading direction shifts visuospatial attention: An Interactive Account of attentional biases
Rinaldi, L., Luca, S. D., Henik, A., & Girelli, L. (2014) · Acta Psychologica · doi:10.1016/j.actpsy.2014.05.018 · Cited by 115
Restless ‘rest’: intrinsic sensory hyperactivity and disinhibition in post-traumatic stress disorder
Clancy, K. J., Ding, M., Bernat, E. M., Schmidt, N. B., & Li, W. (2017) · Brain · doi:10.1093/brain/awx116 · Cited by 109
How does hemispheric specialization contribute to human-defining cognition?
Hartwigsen, G., Bengio, Y., & Bzdok, D. (2021) · Neuron · doi:10.1016/j.neuron.2021.04.024 · Cited by 122
Kessler, D. A., Angstadt, M., & Sripada, C. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.0088 · Cited by 109
Short parietal lobe connections of the human and monkey brain
Catani, M., Naianna, R., Beyh, A., Huynh, V., Requejo, F. D. S., Howells, H., Barrett, R. L. C., Aiello, M., Cavaliere, C., Dyrby, T. B., et al. (2017) · Cortex · doi:10.1016/j.cortex.2017.10.022 · Cited by 112
Spatial biases in viewing behavior
Ossandón, J., Onat, S., & Peter König, B. (2014) · Journal of Vision · doi:10.1167/14.2.20 · Cited by 111
Malinowski, P., Moore, A. W., Mead, B. R., & Gruber, T. (2015) · Mindfulness · doi:10.1007/s12671-015-0482-8 · Cited by 124
Baldassarre, A., Ramsey, L., Rengachary, J., Zinn, K., Siegel, J. S., Metcalf, N. V., Strube, M., Snyder, A. Z., Corbetta, M., & Shulman, G. L. (2016) · Brain · doi:10.1093/brain/aww107 · Cited by 110
Self-citationPhillips, J. M., Vinck, M. A., Everling, S., & Womelsdorf, T. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht050 · Cited by 117
Cerebral correlates of visuospatial neglect: A direct cerebral stimulation study
Vallar, G., Bello, L., Bricolo, E., Castellano, A., Casarotti, A., Falini, A., Riva, M., Fava, E., & Papagno, C. (2013) · Human Brain Mapping · doi:10.1002/hbm.22257 · Cited by 117
Decoding the anatomical network of spatial attention
Smith, D. V., Clithero, J. A., Rorden, C., & Karnath, H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1210126110 · Cited by 107
Human pulvinar functional organization and connectivity
Barron, D. S., Eickhoff, S. B., Clos, M., & Fox, P. T. (2015) · Human Brain Mapping · doi:10.1002/hbm.22781 · Cited by 107
Vandenberghe, R. R., Molenberghs, P., & Gillebert, C. R. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.12.016 · Cited by 112
Charras, P., Herbet, G., Deverdun, J., de Champfleur, N. M., Duffau, H., Bartolomeo, P., & Bonnetblanc, F. (2014) · Cortex · doi:10.1016/j.cortex.2014.08.010 · Cited by 111
Corbetta, M., Siegel, J. S., & Shulman, G. L. (2018) · Cortex · doi:10.1016/j.cortex.2017.12.017 · Cited by 104
Self-citationNielsen, J. A., Zielinski, B. A., Fletcher, P. T., Alexander, A. L., LANGE, N. D., Bigler, E. D., Lainhart, J. E., & Anderson, J. S. (2014) · Molecular Autism · doi:10.1186/2040-2392-5-8 · Cited by 117
Long-Range Attention Networks: Circuit Motifs Underlying Endogenously Controlled Stimulus Selection
Womelsdorf, T., & Everling, S. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.08.009 · Cited by 105
Gori, S., & Facoetti, A. (2013) · Vision Research · doi:10.1016/j.visres.2013.11.011 · Cited by 118
Functional Connectivity Density in Congenitally and Late Blind Subjects
Qin, W., Xuan, Y., Liu, Y., Jiang, T., & Yu, C. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu051 · Cited by 105
Why do imagery and perception look and feel so different?
Koenig-Robert, R., & Pearson, J. (2021) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2019.0703 · Cited by 104
The brain network reflecting bodily self-consciousness: a functional connectivity study
Ionta, S., Martuzzi, R., Salomon, R., & Blanke, O. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst185 · Cited by 116
Ros, T., Michela, A., Bellman, A., Vuadens, P., Saj̈, A., & Vuilleumier, P. O. (2017) · Neural Plasticity · doi:10.1155/2017/7407241 · Cited by 104
Li, K., & Malhotra, P. (2015) · Practical Neurology · doi:10.1136/practneurol-2015-001115 · Cited by 126
Single subject fMRI test–retest reliability metrics and confounding factors
Gorgolewski, K. J., Storkey, A., Bastin, M. E., Whittle, I. R., & Pernet, C. R. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.085 · Cited by 103
Magnocellular-dorsal pathway and sub-lexical route in developmental dyslexia
Gori, S., Cecchini, P., Bigoni, A., Molteni, M., & Facoetti, A. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00460 · Cited by 101
Unilateral spatial neglect after posterior parietal damage
Vallar, G., & Calzolari, E. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63622-5.00014-0 · Cited by 102
Seeing human: Distinct and overlapping neural signatures associated with two forms of dehumanization
Jack, A. I., Dawson, A. J., & Norr, M. E. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.109 · Cited by 106
Kubit, B. M., & Jack, A. I. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00323 · Cited by 103
Metadata
- Authors
- Corbetta, M., & Shulman, G. L.
- Affiliations
- Washington University in St. Louis (US)
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2011-07-21
- Volume
- 34
- Issue
- 1
- Pages
- 569-599
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- PMC
- PMC3790661
- OpenAlex
- W2141447814
- Cited by
- 1,318
- References
- 161
- Citations by year
- 2026: 74 · 2025: 88 · 2024: 95 · 2023: 75 · 2022: 99 · 2021: 101 · 2020: 83 · 2019: 117 · 2018: 83 · 2017: 88 · 2016: 95 · 2015: 93 · 2014: 75 · 2013: 86 · 2012: 52
- FWCI
- 6.00
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Padua Research Archive (University of Padova) (submittedVersion, other-oa)
- Funders
- University of Pennsylvania
- Johns Hopkins University
- University of Oregon
- University College London
- Université de Genève
- Medical Research Council
- National Institute of Mental Health (R01 MH 71920-06, R01MH071920)
- National Institute of Child Health and Human Development
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD061117)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Spatial Neglect and Hemispheric Dysfunction
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- hemispatial neglect, right hemisphere dominance, attentional networks, dorsal attention network, spatial attention, short-term memory, sustained attention, functional connectivity, right parietal cortex, right temporal cortex, right frontal cortex
- MeSH terms
- Animals, Attention, Humans, Functional Laterality, Neural Pathways, Perceptual Disorders
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
