The Journal of Neurosci
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When confronted with a complex moving stimulus, the brain can integrate local element velocities to obtain a single motion signal, or segregate the elements to maintain awareness of their identities. The integrated motion signal can drive smooth-pursuit eye movements (Heinen and Watamaniuk, 1998), whereas the segregated signal guides attentive tracking of individual elements in multiple-object tracking tasks (MOT; Pylyshyn and Storm, 1988). It is evident that these processes can occur simultaneously, because we can effortlessly pursue ambulating creatures while inspecting disjoint moving features, such as arms and legs, but the underlying mechanism is unknown. Here, we provide evidence that separate neural circuits perform the mathematically opposed operations of integration and segregation, by demonstrating with a dual-task paradigm that the two processes do not share attentional resources. Human observers attentively tracked a subset of target elements composing a small MOT stimulus, while pursuing it ocularly as it translated across a computer display. Integration of the multidot stimulus yielded optimal pursuit. Importantly, performing MOT while pursuing the stimulus did not degrade performance on either task compared with when each was performed alone, indicating that they did not share attention. A control experiment showed that pursuit was not driven by integration of only the nontargets, leaving the MOT targets free for segregation. Nor was a predictive strategy used to pursue the stimulus, because sudden changes in its global velocity were accurately followed. The results suggest that separate neural mechanisms can simultaneously segregate and integrate the same motion signals.
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The salience network is anchored in the anterior insula and dorsal anterior cingulate cortex, with prominent subcortical nodes in affect and reward processing regions; the frontoparietal network is anchored in the dorsolateral prefrontal cortex and posterior parietal cortex.
“Two other large-scale brain networks that are directly involved in cognitive control have received considerable attention in this context: the salience network anchored in the anterior insula and dorsal anterior cingulate cortex, with prominent subcortical nodes in the affect and reward processing regions; and the frontoparietal network, anchored in the dorsolateral prefrontal cortex and posterior”
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Cites
Rizzolatti, G., & Craighero, L. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144230 · Cited by 7,433 · see citing works
A cortical area selective for visual processing of the human body
Downing, P. E., Jiang, Y., Shuman, M., & Kanwisher, N. (2001) · Science · doi:10.1126/science.1063414 · Cited by 2,043 · see citing works
Puce, A., Allison, T., Asgari, M., Gore, J. C., & McCarthy, G. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-16-05205.1996 · Cited by 987 · see citing works
Extrastriate body area in human occipital cortex responds to the performance of motor actions
Astafiev, S. V., Stanley, C. M., Shulman, G. L., & Corbetta, M. (2004) · Nature Neuroscience · doi:10.1038/nn1241 · Cited by 629 · see citing works
Topographic representation of the human body in the occipitotemporal cortex
Orlov, T., Makin, T. R., & Zohary, E. (2010) · Neuron · doi:10.1016/j.neuron.2010.09.032 · Cited by 236 · see citing works
Downing, P. E., Wiggett, A. J., & Peelen, M. V. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.3619-06.2007 · Cited by 181 · see citing works
Reed, C., McGoldrick, J., Shackelford, J. R., & Fidopiastis, C. (2004) · Visual Cognition · doi:10.1080/13506280344000428 · Cited by 44 · see citing works
Flagged first, then by citations
Research works printed but not linked: 31
- Belongie S, Malik J, Puzicha J (2002) Shape matching and object recognition using shape contexts. IEEE Trans Pattern Anal Mach Intell 24:509 -522. CrossRef · DOI · Paper page
- Bracci S, Peelen MV (2013) Body and object effectors: the organization of object representations in high-level visual cortex reflects body-object in- teractions. J Neurosci 33:18247-18258. CrossRef Medline · DOI
- Bracci S, Ietswaart M, Peelen MV, Cavina-Pratesi C (2010) Dissociable neu- ral responses to hands and non-hand body parts in human left extrastriate visual cortex. J Neurophysiol 103:3389 -3397. CrossRef Medline · DOI
- Bracci S, Cavina-Pratesi C, Ietswaart M, Caramazza A, Peelen MV (2012) Closely overlapping responses to tools and hands in left lateral occipito- temporal cortex. J Neurophysiol 107:1443-1456. CrossRef Medline · DOI
- Brainard DH (1997) The Psychophysics Toolbox. Spat Vis 10:433-436. CrossRef Medline · DOI
- Chan AW, Kravitz DJ, Truong S, Arizpe J, Baker CI (2010) Cortical repre- sentations of bodies and faces are strongest in commonly experienced configurations. Nat Neurosci 13:417-418. CrossRef Medline · DOI
- Gallivan JP, Culham JC (2015) Neural coding within human brain areas involved in actions. Curr Opin Neurobiol 33:141-149. CrossRef Medline · DOI
- Haushofer J, Livingstone MS, Kanwisher N (2008) Multivariate patterns in object-selective cortex dissociate perceptual and physical shape similarity. PLoS Biol 6:e187. CrossRef Medline · DOI
- Haxby JV, Gobbini MI, Furey ML, Ishai A, Schouten JL, Pietrini P (2001) Distributed and overlapping representations of faces and objects in ven- tral temporal cortex. Science 293:2425-2430. CrossRef Medline · DOI · Paper page
- Huth AG, Nishimoto S, Vu AT, Gallant JL (2012) A continuous semantic space describes the representation of thousands of object and action categories across the human brain. Neuron 76:1210-1224. CrossRef Medline · DOI
- Kolb P (2009) Experiments on the difference between semantic similarity and relatedness. Proceedings of the 17th Nordic Conference on Compu- tational Linguistics.
- Kriegeskorte N, Mur M (2012) Inverse MDS: inferring dissimilarity structure from multiple item arrangements. Front Psychol 3:245. CrossRef Medline · DOI
- Kriegeskorte N, Goebel R, Bandettini P (2006) Information-based functional brain mapping. Proc Natl Acad Sci U S A 103:3863-3868. CrossRef Medline · DOI · Paper page
- Kriegeskorte N, Mur M, Bandettini P (2008) Representational similarity analysis-connecting the branches of systems neuroscience. Front Syst Neurosci 2:4. CrossRef Medline · DOI · Paper page
- Lingnau A, Downing PE (2015) The lateral occipitotemporal cortex in ac- tion. Trends Cogn Sci 19:268 -277. CrossRef Medline · DOI
- Mahon BZ, Caramazza A (2011) What drives the organization of object knowledge in the brain? Trends Cogn Sci 15:97-103. CrossRef Medline · DOI
- Mahon BZ, Milleville SC, Negri GA, Rumiati RI, Caramazza A, Martin A (2007) Action-related properties shape object representations in the ven- tral stream. Neuron 55:507-520. CrossRef Medline · DOI
- Mitchell TM, Shinkareva SV, Carlson A, Chang KM, Malave VL, Mason RA, Just MA (2008) Predicting human brain activity associated with the meanings of nouns. Science 320:1191-1195. CrossRef Medline · DOI · Paper page
- Nili H, Wingfield C, Walther A, Su L, Marslen-Wilson W, Kriegeskorte N (2014) A toolbox for representational similarity analysis. PLoS Comput Biol 10:e1003553. CrossRef Medline · DOI
- Op de Beeck HP (2010) Against hyperacuity in brain reading: spatial smoothing does not hurt multivariate fMRI analyses? Neuroimage 49:1943-1948. CrossRef Medline · DOI · Paper page
- Op de Beeck HP, Torfs K, Wagemans J (2008) Perceived shape similarity among unfamiliar objects and the organization of the human object vi- sion pathway. J Neurosci 28:10111-10123. CrossRef Medline · DOI
- Op de Beeck HP, Brants M, Baeck A, Wagemans J (2010) Distributed sub- ordinate specificity for bodies, faces, and buildings in human ventral visual cortex. Neuroimage 49:3414 -3425. CrossRef Medline · DOI
- Peelen MV, Caramazza A (2010) What body parts reveal about the organi- zation of the brain. Neuron 68:331-333. CrossRef Medline · DOI
- Peelen MV, Downing PE (2005) Selectivity for the human body in the fusi- form gyrus. J Neurophysiol 93:603-608. CrossRef Medline · DOI
- Peelen MV, Downing PE (2007) The neural basis of visual body perception. Nat Rev Neurosci 8:636 -648. CrossRef Medline · DOI
- Penfield W, Boldrey E (1937) Somatic motor and sensory representation in the cerebral cortex of man as studied by electrical stimulation. Brain 60:389 -443. CrossRef · DOI · Paper page
- Saygin ZM, Osher DE, Koldewyn K, Reynolds G, Gabrieli JD, Saxe RR (2012) Anatomical connectivity patterns predict face selectivity in the fusiform gyrus. Nat Neurosci 15:321-327. CrossRef Medline · DOI
- Schwarzlose RF, Baker CI, Kanwisher N (2005) Separate face and body selectivity on the fusiform gyrus. J Neurosci 25:11055-11059. CrossRef Medline · DOI
- Simmons WK, Martin A (2012) Spontaneous resting-state BOLD fluctua- tions reveal persistent domain-specific neural networks. Soc Cogn Affect Neurosci 7:467-475. CrossRef Medline · DOI
- Weiner KS, Grill-Spector K (2010) Sparsely-distributed organization of face and limb activations in human ventral temporal cortex. Neuroimage 52: 1559 -1573. CrossRef Medline · DOI
- Weiner KS, Grill-Spector K (2011) Not one extrastriate body area: using anatomical landmarks, hMTϩ, and visual field maps to parcellate limb- selective activations in human lateral occipitotemporal cortex. Neuroim- age 56:2183-2199. CrossRef Medline · DOI
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- Authors
- Houbaert, X., Zhang, C.-L., Gambino, F., Lepleux, M., Deshors, M., Normand, E., Levet, F., Ramos-Brossier, M., Billuart, P., Chelly, J., Herzog, É., & Humeau, Y.
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- Université de Bordeaux (FR)
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- Journal of Neuroscience
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- Published
- 2014-01-14
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W4247121563
- Cited by
- 715
- References
- 7
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