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Coding of Visual, Auditory, Rule, and Response Information in the Brain: 10 Years of Multivoxel Pattern Analysis

期刊

JOURNAL OF COGNITIVE NEUROSCIENCE
卷 28, 期 10, 页码 1433-1454

出版社

MIT PRESS
DOI: 10.1162/jocn_a_00981

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资金

  1. Australian Research Council's (ARC) [DP12102835]
  2. ARC (DECRA) [DE120100898]
  3. International Macquarie University Research Excellence Scholarship
  4. Medical Research Council (United Kingdom) [MC-A060-5PQ10]
  5. MRC [MC_U105580448] Funding Source: UKRI
  6. Medical Research Council [MC_U105580448, G1000183B] Funding Source: researchfish
  7. Australian Research Council [DE120100898] Funding Source: Australian Research Council

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How is the processing of task information organized in the brain? Many views of brain function emphasize modularity, with different regions specialized for processing different types of information. However, recent accounts also highlight flexibility, pointing especially to the highly consistent pattern of frontoparietal activation across many tasks. Although early insights from functional imaging were based on overall activation levels during different cognitive operations, in the last decade many researchers have used multivoxel pattern analyses to interrogate the representational content of activations, mapping out the brain regions that make particular stimulus, rule, or response distinctions. Here, we drew on 100 searchlight decoding analyses from 57 published papers to characterize the information coded in different brain networks. The outcome was highly structured. Visual, auditory, and motor networks predominantly (but not exclusively) coded visual, auditory, and motor information, respectively. By contrast, the frontoparietal multiple-demand network was characterized by domain generality, coding visual, auditory, motor, and rule information. The contribution of the default mode network and voxels elsewhere was minor. The data suggest a balanced picture of brain organization in which sensory and motor networks are relatively specialized for information in their own domain, whereas a specific frontoparietal network acts as a domain-general core with the capacity to code many different aspects of a task.

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