4.7 Review

Submillimeter fMRI reveals an extensive, fine-grained and functionally-relevant scene-processing network in monkeys

Journal

PROGRESS IN NEUROBIOLOGY
Volume 211, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.pneurobio.2022.102230

Keywords

Scene processing; Category-selectivity; High-resolution fMRI; Functional connectivity; Rhesus monkey; Frontal cortex

Categories

Funding

  1. Exploratory Program of CEA, the French Alternative Energies and Atomic Energy Commission [20P28]
  2. ANR, the French National Agency for Research [ANR-20-CE37-0005]
  3. FWO [G0C1920N, G0E0520N]
  4. European Union's Horizon 2020 Framework Programme for Research and Innovation [945539]
  5. KU Leuven [C14/17/109, C3/21/027, IDN/20/016, C14/21/111]
  6. Agence Nationale de la Recherche (ANR) [ANR-20-CE37-0005] Funding Source: Agence Nationale de la Recherche (ANR)

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This study reveals a more complex visual scene processing network in macaques compared to previous studies, with multiple functionally interconnected patches distributed across all cortical lobes.
Primates are endowed with a dedicated cortical network for processing visual scene information, which is critical for navigation and object retrieval. Previous studies showed that this scene network encompasses three to maximally five cortical regions in humans and monkeys. Using submillimeter resolution fMRI (0.22 mm3 voxels), and two entirely different but carefully controlled stimulus sets, we demonstrate a robust, fine-grained, yet threefold more extensive scene-processing network in macaques compared to previous studies. The core network, selective for both familiar and unfamiliar scenes, encompasses eleven patches distributed over all cerebral lobes and is surprisingly elaborated in frontal cortex. Five additional non-core scene-selective patches show scene selectivity, but only for places familiar to the monkeys. Notably, resting-state fMRI revealed that the frontal and temporo-parietal scene-selective patches form an intrinsically-connected network, largely segregated from other category-selective networks. Moreover, the strength of the functional connectivity across nodes of the network is a predictor of functional scene responses of nodes belonging to this network. Hence, this scene processing network is functionally-relevant. In summary, the scene-processing system is considerably more complex than previously documented, consisting of functionally interconnected patches throughout all cortical lobes.

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