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Organization of the inputs and outputs of the mouse superior colliculus

Author

Listed:
  • Nora L. Benavidez

    (University of Southern California
    University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Michael S. Bienkowski

    (University of Southern California)

  • Muye Zhu

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Luis H. Garcia

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Marina Fayzullina

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Lei Gao

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Ian Bowman

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Lin Gou

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Neda Khanjani

    (University of Southern California)

  • Kaelan R. Cotter

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Laura Korobkova

    (University of Southern California
    University of Southern California)

  • Marlene Becerra

    (University of Southern California)

  • Chunru Cao

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Monica Y. Song

    (University of Southern California
    University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Bin Zhang

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Seita Yamashita

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Amanda J. Tugangui

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Brian Zingg

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Kasey Rose

    (University of Southern California)

  • Darrick Lo

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Nicholas N. Foster

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Tyler Boesen

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Hyun-Seung Mun

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Sarvia Aquino

    (University of Southern California)

  • Ian R. Wickersham

    (Massachusetts Institute of Technology)

  • Giorgio A. Ascoli

    (George Mason University)

  • Houri Hintiryan

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

  • Hong-Wei Dong

    (University of Southern California
    UCLA Brain Research & Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles)

Abstract

The superior colliculus (SC) receives diverse and robust cortical inputs to drive a range of cognitive and sensorimotor behaviors. However, it remains unclear how descending cortical input arising from higher-order associative areas coordinate with SC sensorimotor networks to influence its outputs. Here, we construct a comprehensive map of all cortico-tectal projections and identify four collicular zones with differential cortical inputs: medial (SC.m), centromedial (SC.cm), centrolateral (SC.cl) and lateral (SC.l). Further, we delineate the distinctive brain-wide input/output organization of each collicular zone, assemble multiple parallel cortico-tecto-thalamic subnetworks, and identify the somatotopic map in the SC that displays distinguishable spatial properties from the somatotopic maps in the neocortex and basal ganglia. Finally, we characterize interactions between those cortico-tecto-thalamic and cortico-basal ganglia-thalamic subnetworks. This study provides a structural basis for understanding how SC is involved in integrating different sensory modalities, translating sensory information to motor command, and coordinating different actions in goal-directed behaviors.

Suggested Citation

  • Nora L. Benavidez & Michael S. Bienkowski & Muye Zhu & Luis H. Garcia & Marina Fayzullina & Lei Gao & Ian Bowman & Lin Gou & Neda Khanjani & Kaelan R. Cotter & Laura Korobkova & Marlene Becerra & Chun, 2021. "Organization of the inputs and outputs of the mouse superior colliculus," Nature Communications, Nature, vol. 12(1), pages 1-20, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24241-2
    DOI: 10.1038/s41467-021-24241-2
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    Cited by:

    1. Ami Ritter & Shlomi Habusha & Lior Givon & Shahaf Edut & Oded Klavir, 2024. "Prefrontal control of superior colliculus modulates innate escape behavior following adversity," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    2. Alyse Thomas & Weiguo Yang & Catherine Wang & Sri Laasya Tipparaju & Guang Chen & Brennan Sullivan & Kylie Swiekatowski & Mahima Tatam & Charles Gerfen & Nuo Li, 2023. "Superior colliculus bidirectionally modulates choice activity in frontal cortex," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    3. Jérémie Sibille & Carolin Gehr & Jonathan I. Benichov & Hymavathy Balasubramanian & Kai Lun Teh & Tatiana Lupashina & Daniela Vallentin & Jens Kremkow, 2022. "High-density electrode recordings reveal strong and specific connections between retinal ganglion cells and midbrain neurons," Nature Communications, Nature, vol. 13(1), pages 1-18, December.

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