Extended Data Fig. 9: Visual cortical inactivation selectively eliminates striatal visual responses.
From: Striatal activity topographically reflects cortical activity
a, Cortical unit firing rate change across topical muscimol application. Horizontal dotted line indicates bottom edge of cortex. Topical muscimol effectively silences the full cortical depth. b, Deconvolved cortical fluorescence standard deviation (top) and retinotopic visual field sign (bottom) before and after muscimol application. Muscimol was centred on VISam and spread laterally to other visual areas. c, Relative firing rate change in each striatal domain before and after cortical inactivation (dots are sessions). Firing rate increases slightly after cortical inactivation (signed-rank test, DMS P = 0.04, DCS P = 0.02, DLS P = 0.02 across 22 sessions). d, Passive responses to visual stimuli in cortical regions of interest (left) and corresponding striatal domains (right) before (black) and after (yellow) inactivation of visual cortex. Muscimol reduced the stimulus response in VISam and DMS proportionally within each session (correlation between fractional reduction of each area: r = 0.48, P = 0.04 across 22 sessions). e, Psychometric curve (left) and median reaction (right) as a function of stimulus contrast and side as in Extended Data Fig. 1b, before (black) and after (yellow) muscimol in visual cortex (mean ± s.e. across sessions). Task performance becomes worse asymmetrically across stimuli (two-way ANOVA on stimulus and condition, interaction P = 0.04 across 22 sessions) and reaction times become longer across stimuli (two-way ANOVA on stimulus and condition, condition P = 1.1 × 10−26 across 22 sessions). f, Kernels using task events to predict striatal activity before (black) and after (yellow) visual cortical muscimol (mean ± s.e. across sessions). Stimulus kernel weights decrease after muscimol while other kernel weights do not change significantly (two-way ANOVA on regressor and condition, condition effect on stimuli regressors DMS P = 2.0 × 10−7, DCS P = 8.4 × 10−6, DLS P = 0.03, P > 0.05 for other domains and regressors across 22 sessions).
