Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 114, Issue 36, Pages E7612-E7621Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1704893114
Keywords
dendritic computation; inhibition; plateau potential; synaptic integration; striatum
Categories
Funding
- National Institute of Neurological Disorders and Stroke/NIH [N5091144]
- National Institute of Alcohol Abuse and Alcoholism/NIH [AA025721]
- GG Technologies
- European Union [ERC-682426, FP7-323945, H2020-712821]
- Hungarian Research, Development and Innovation Office [VKSZ_14-1-2015-0155, KFI_16-1-2016-0177, NVKP_16-1-2016-0043]
- Hungarian Government [KTIA_NAP_12-2-2015-0006, KMR_12-1-2012-0214, SH/7/2/8, GINOP_2.1.1-15-2016-00979]
- Parkinson's Disease Foundation [PDF-FBS-1556]
- European Horizon Framework Programme [720270]
- Swedish Research Council
- National Institute on Alcohol Abuse and Alcoholism [2R01AA016022]
- Swedish e-Science Research Center
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Striatal spiny projection neurons (SPNs) receive convergent excitatory synaptic inputs from the cortex and thalamus. Activation of spatially clustered and temporally synchronized excitatory inputs at the distal dendrites could trigger plateau potentials in SPNs. Such supralinear synaptic integration is crucial for dendritic computation. However, how plateau potentials interact with subsequent excitatory and inhibitory synaptic inputs remains unknown. By combining computational simulation, two-photon imaging, optogenetics, and dual-color uncaging of glutamate and GABA, we demonstrate that plateau potentials can broaden the spatiotemporal window for integrating excitatory inputs and promote spiking. The temporal window of spiking can be delicately controlled by GABAergic inhibition in a cell-type- specific manner. This subtle inhibitory control of plateau potential depends on the location and kinetics of the GABAergic inputs and is achieved by the balance between relief and reestablishment of NMDA receptor Mg2+ block. These findings represent a mechanism for controlling spatiotemporal synaptic integration in SPNs.
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