Dopamine (DA) concentration in the striatum fluctuates on two timescales: fast, sub-second
“phasic” changes, and slow, minutes to hours long, shifts in the “tonic” baseline. Phasic striatal DA
fluctuations may represent a prediction error signal, or the difference between what an agent expects
to happen and what actually happens. Animals are thought to implement this prediction error in a
temporal difference learning framework to update policies mapping states to actions to learn how
to attain rewards and avoid threats in the environment. Although much progress has been made
to understand the heterogeneity of this phasic signal across striatal subregions and how different
stimuli evoke different phasic dopaminergic signals, much less is known on the role that internal
state of the agent plays in shaping phasic and tonic DA signaling.
To investigate how internal state modulates phasic and tonic DA signaling, I employed fluorescence
lifetime photometry at high temporal resolution (FLiP-R) coupled with novel DA sensors to measure
absolute levels of DA in the striatum. I conducted recordings and manipulations of DA signaling
in two striatal subregions - the nucleus accumbens core (NAC) in which phasic DA signaling
is thought to represent a reward-prediction error, and the tail of striatum (TS) in which phasic DA
signaling is thought to represent a threat-prediction error. In the TS, hunger increases tonic DA
while suppressing the phasic TS DA response to modulate exploration of novel, potentially threatening
stimuli. The hunger signal that modulates the phasic TS DA signaling pathway derives from
the activity of hypothalamic agouti-related peptide (AgRP) neurons. In the NAC, hunger increases
the tonic DA level, which in turn modulates an animal’s motivation to work for a fixed reward. I
thus delineate how phasic and tonic DA signaling integrates internal state across different striatal
subregions to modulate different aspects of behavior.Neuroscienc
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