Unknown

Dataset Information

0

A whole-brain monosynaptic input connectome to neuron classes in mouse visual cortex.


ABSTRACT: Identification of structural connections between neurons is a prerequisite to understanding brain function. Here we developed a pipeline to systematically map brain-wide monosynaptic input connections to genetically defined neuronal populations using an optimized rabies tracing system. We used mouse visual cortex as the exemplar system and revealed quantitative target-specific, layer-specific and cell-class-specific differences in its presynaptic connectomes. The retrograde connectivity indicates the presence of ventral and dorsal visual streams and further reveals topographically organized and continuously varying subnetworks mediated by different higher visual areas. The visual cortex hierarchy can be derived from intracortical feedforward and feedback pathways mediated by upper-layer and lower-layer input neurons. We also identify a new role for layer 6 neurons in mediating reciprocal interhemispheric connections. This study expands our knowledge of the visual system connectomes and demonstrates that the pipeline can be scaled up to dissect connectivity of different cell populations across the mouse brain.

SUBMITTER: Yao S 

PROVIDER: S-EPMC10039800 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

A whole-brain monosynaptic input connectome to neuron classes in mouse visual cortex.

Yao Shenqin S   Wang Quanxin Q   Hirokawa Karla E KE   Ouellette Benjamin B   Ahmed Ruweida R   Bomben Jasmin J   Brouner Krissy K   Casal Linzy L   Caldejon Shiella S   Cho Andy A   Dotson Nadezhda I NI   Daigle Tanya L TL   Egdorf Tom T   Enstrom Rachel R   Gary Amanda A   Gelfand Emily E   Gorham Melissa M   Griffin Fiona F   Gu Hong H   Hancock Nicole N   Howard Robert R   Kuan Leonard L   Lambert Sophie S   Lee Eric Kenji EK   Luviano Jennifer J   Mace Kyla K   Maxwell Michelle M   Mortrud Marty T MT   Naeemi Maitham M   Nayan Chelsea C   Ngo Nhan-Kiet NK   Nguyen Thuyanh T   North Kat K   Ransford Shea S   Ruiz Augustin A   Seid Sam S   Swapp Jackie J   Taormina Michael J MJ   Wakeman Wayne W   Zhou Thomas T   Nicovich Philip R PR   Williford Ali A   Potekhina Lydia L   McGraw Medea M   Ng Lydia L   Groblewski Peter A PA   Tasic Bosiljka B   Mihalas Stefan S   Harris Julie A JA   Cetin Ali A   Zeng Hongkui H  

Nature neuroscience 20221222 2


Identification of structural connections between neurons is a prerequisite to understanding brain function. Here we developed a pipeline to systematically map brain-wide monosynaptic input connections to genetically defined neuronal populations using an optimized rabies tracing system. We used mouse visual cortex as the exemplar system and revealed quantitative target-specific, layer-specific and cell-class-specific differences in its presynaptic connectomes. The retrograde connectivity indicate  ...[more]

Similar Datasets

| S-EPMC3129003 | biostudies-other
| S-EPMC10592405 | biostudies-literature
| S-EPMC9915496 | biostudies-literature
| S-EPMC9672206 | biostudies-literature
| S-EPMC8078853 | biostudies-literature
| S-EPMC7920542 | biostudies-literature
| S-EPMC3327881 | biostudies-literature
| S-EPMC5946730 | biostudies-literature
| S-EPMC7538160 | biostudies-literature
| S-EPMC5056182 | biostudies-literature