Widespread and Highly Correlated Somato-dendritic Activity in Cortical Layer 5 Neurons
Author(s)
Beaulieu-Laroche, Lou; Toloza, Enrique H.S.; Brown, Norma J.; Harnett, Mark T.
DownloadAccepted version (1.404Mb)
Publisher with Creative Commons License
Publisher with Creative Commons License
Creative Commons Attribution
Terms of use
Metadata
Show full item recordAbstract
© 2019 Elsevier Inc. Dendritic integration can expand the information-processing capabilities of neurons. However, the recruitment of active dendritic processing in vivo and its relationship to somatic activity remain poorly understood. Here, we use two-photon GCaMP6f imaging to simultaneously monitor dendritic and somatic compartments in the awake primary visual cortex. Activity in layer 5 pyramidal neuron somata and distal apical trunk dendrites shows surprisingly high functional correlation. This strong coupling persists across neural activity levels and is unchanged by visual stimuli and locomotion. Ex vivo combined somato-dendritic patch-clamp and GCaMP6f recordings indicate that dendritic signals specifically reflect local electrogenesis triggered by dendritic inputs or high-frequency bursts of somatic action potentials. In contrast to the view that dendrites are only sparsely recruited under highly specific conditions in vivo, our results provide evidence that active dendritic integration is a widespread and intrinsic feature of cortical computation. Beaulieu-Laroche et al. perform near-simultaneous calcium imaging of somatic and dendritic activity to reveal that active dendritic integration is an integral feature of information processing in cortical pyramidal neurons.
Date issued
2019-07Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences; McGovern Institute for Brain Research at MITJournal
Neuron
Publisher
Elsevier BV
Citation
Beaulieu-Laroche, Lou, Toloza, Enrique HS, Brown, Norma J and Harnett, Mark T. 2019. "Widespread and Highly Correlated Somato-dendritic Activity in Cortical Layer 5 Neurons." Neuron, 103 (2).
Version: Author's final manuscript
ISSN
0896-6273