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Neural processing for individual categories of objects

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Discrete categories of objects such as faces, body parts, tools, animals and buildings have been associated with preferential activation in specialised areas of the cortex, leading to the suggestion that they may be produced separately in discrete neural regions.

Several such regions have been identified within the occipito=temporal cortex. The Fusiform Face Area (FFA) was first described by Sergent et al.(1992) [1] who conducted a PET (postitron emission tomography) study on subjects viewing gratings, faces, and objects. Facial idenitification exclusively produced increased bilateral activation in the fusiform gyrus, highlighting the dissociation between faces and other object processing. Similar results have also ben reported for activation of the parahipppocampul place area (PPA) in response to stimuli depicting places and spatial layouts; and in the extrastriate body area (EBA) in response to human body parts.

Studies of patients with brain damage have revealed pure agnosic disorders that selectively impair recognition of specific object categories. such agnosic disorders have been reported for faces (prosopagnosia), living vs. nonliving stimuli, fruits, vegetables, tools, and musical instruments among others, suggesting that such categories may be processed independently within the brain.

Object-specific areas have been identified consistently across subjects and studies, however their responses are not always exclusive. Martin et al. (1996) [2] found using fMRI that although object-specific responses were found in the left premotor area and left medial occipital obes respectively, identification of both tools and animals produced increased bilateral activation of the ventral temporal lobes. Thus it appears that tools and animals, at least, are not wholly processed by discrete brain areas (despite selective impairment)and alternative theories propose that rather that being object-specific, cortical regions may show preferential activation as a result of greater expertise in one category, greater homogeneity between category members, task-related biases, and attentional preference amongst others.

It may be that the use of distinct brain regions for processing different object categories results from different processing requirements necessary for each class. Indeed, Malach et al. (2002) [3] detail findings that buildings and faces requrie processing at different resolutions in order to be recognised - face recognition requires the analysis of fine detail, while buildings can be recognised using larger scale feature integration. As a result, faces are associated with central visual field processing while buildings anre processed more peripherally. Malach et al. (2002) report that points on the retina sharing foveal centricity are mapped onto parallel cortical bands and it therefore follows that object classes that are processed differently by retinal cells should be represented distinctly within the brain. Consistently, faces and buildings were found to be processed independently of each other and in discrete cortical regions suggesting that processing is facilitated by assigning ibject categories to distinct cortical regions according to the level and type of processing that they require.

See alsoEdit

ReferencesEdit

  1. Sergent J, Ohta S, MacDonald B (1992) Functional neuroanatomy of face and object processing: a positron emission tomography study. Brain 115:15-36
  2. Martin, A., Wiggs, C. L., Ungerleider, L. G. & Haxby, J. V. (1996) Neural correlates of category-specific knowledge. Nature 379:649–52.
  3. Malach, R. et al. (2002) The topography of high-order human object areas. Trends Cogn. Sci. 6, 176–184
  • Sergent J, Ohta S, MacDonald B (1992) Functional neuroanatomy of face and object processing: a positron emission tomography study. Brain 115:15-36
  • Martin, A., Wiggs, C. L., Ungerleider, L. G. & Haxby, J. V. (1996) Neural correlates of category-specific knowledge. Nature 379:649–52
  • Malach, R. et al. (2002) The topography of high-order human object areas. Trends Cogn. Sci. 6, 176–184


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