Targeted micro-fiber arrays for measuring and manipulating localized multi-scale neural dynamics over large, deep brain volumes during behavior.

Neural population dynamics relevant to behavior vary over multiple spatial and temporal scales across three-dimensional volumes. Current optical approaches lack the spatial coverage and resolution necessary to measure and manipulate naturally occurring patterns of large-scale, distributed dynamics within and across deep brain regions such as the striatum. We designed a new micro-fiber array approach capable of chronically measuring and optogenetically manipulating local dynamics across over 100 targeted locations simultaneously in head-fixed and freely moving mice, enabling the investigation of cell-type- and neurotransmitter-specific signals over arbitrary 3D volumes at a spatial resolution and coverage previously inaccessible. We applied this method to resolve rapid dopamine release dynamics across the striatum, revealing distinct, modality-specific spatiotemporal patterns in response to salient sensory stimuli extending over millimeters of tissue. Targeted optogenetics enabled flexible control of neural signaling on multiple spatial scales, better matching endogenous signaling patterns, and the spatial localization of behavioral function across large circuits.

Targeted micro-fiber arrays for measuring and manipulating localized multi-scale neural dynamics over large, deep brain volumes during behavior.

Neural population dynamics relevant for behavior vary over multiple spatial and temporal scales across 3-dimensional volumes. Current optical approaches lack the spatial coverage and resolution necessary to measure and manipulate naturally occurring patterns of large-scale, distributed dynamics within and across deep brain regions such as the striatum. We designed a new micro-fiber array and imaging approach capable of chronically measuring and optogenetically manipulating local dynamics across over 100 targeted locations simultaneously in head-fixed and freely moving mice. We developed a semi-automated micro-CT based strategy to precisely localize positions of each optical fiber. This highly-customizable approach enables investigation of multi-scale spatial and temporal patterns of cell-type and neurotransmitter specific signals over arbitrary 3-D volumes at a spatial resolution and coverage previously inaccessible. We applied this method to resolve rapid dopamine release dynamics across the striatum volume which revealed distinct, modality specific spatiotemporal patterns in response to salient sensory stimuli extending over millimeters of tissue. Targeted optogenetics through our fiber arrays enabled flexible control of neural signaling on multiple spatial scales, better matching endogenous signaling patterns, and spatial localization of behavioral function across large circuits.

Ultrafast neuronal imaging of dopamine dynamics with designed genetically encoded sensors.

Neuromodulatory systems exert profound influences on brain function. Understanding how these systems modify the operating mode of target circuits requires spatiotemporally precise measurement of neuromodulator release. We developed dLight1, an intensity-based genetically encoded dopamine indicator, to enable optical recording of dopamine dynamics with high spatiotemporal resolution in behaving mice. We demonstrated the utility of dLight1 by imaging dopamine dynamics simultaneously with pharmacological manipulation, electrophysiological or optogenetic stimulation, and calcium imaging of local neuronal activity. dLight1 enabled chronic tracking of learning-induced changes in millisecond dopamine transients in mouse striatum. Further, we used dLight1 to image spatially distinct, functionally heterogeneous dopamine transients relevant to learning and motor control in mouse cortex. We also validated our sensor design platform for developing norepinephrine, serotonin, melatonin, and opioid neuropeptide indicators.

Neurons in the ventral striatum exhibit cell-type-specific representations of outcome during learning.

The ventromedial striatum (VMS) is a node in circuits underpinning both affect and reinforcement learning. The cellular bases of these functions and especially their potential linkages have been unclear. VMS cholinergic interneurons, however, have been singled out as being related both to affect and to reinforcement-based conditioning, raising the possibility that unique aspects of their signaling could account for these functions. Here we show that VMS tonically active neurons (TANs), including putative cholinergic interneurons, generate unique bidirectional outcome responses during reward-based learning, reporting both positive (reward) and negative (reward omission) outcomes when behavioral change is prompted by switches in reinforcement contingencies. VMS output neurons (SPNs), by contrast, are nearly insensitive to switches in reinforcement contingencies, gradually losing outcome signaling while maintaining responses at trial initiation and goal approach. Thus, TANs and SPNs in the VMS provide distinct signals optimized for different aspects of the learning process.

Prolonged dopamine signalling in striatum signals proximity and value of distant rewards.

Predictions about future rewarding events have a powerful influence on behaviour. The phasic spike activity of dopamine-containing neurons, and corresponding dopamine transients in the striatum, are thought to underlie these predictions, encoding positive and negative reward prediction errors. However, many behaviours are directed towards distant goals, for which transient signals may fail to provide sustained drive. Here we report an extended mode of reward-predictive dopamine signalling in the striatum that emerged as rats moved towards distant goals. These dopamine signals, which were detected with fast-scan cyclic voltammetry (FSCV), gradually increased or--in rare instances--decreased as the animals navigated mazes to reach remote rewards, rather than having phasic or steady tonic profiles. These dopamine increases (ramps) scaled flexibly with both the distance and size of the rewards. During learning, these dopamine signals showed spatial preferences for goals in different locations and readily changed in magnitude to reflect changing values of the distant rewards. Such prolonged dopamine signalling could provide sustained motivational drive, a control mechanism that may be important for normal behaviour and that can be impaired in a range of neurologic and neuropsychiatric disorders.

Selective effects of dopamine depletion and L-DOPA therapy on learning-related firing dynamics of striatal neurons.

Despite evidence that dopamine neurotransmission in the striatum is critical for learning as well as for movement control, little is yet known about how the learning-related dynamics of striatal activity are affected by dopamine depletion, a condition faced in Parkinson's disease. We made localized intrastriatal 6-hydroxydopamine lesions in rats and recorded within the dopamine-depleted sensorimotor striatal zone and its contralateral correspondent as the animals learned a conditional maze task. Rather than producing global, nonspecific elevations in firing rate across the task, the dopamine depletion altered striatal projection neuron activity and fast-spiking interneuron activity selectively, with sharply task-specific and cell type-specific effects, and often, with learning-stage selective effects as well. Striatal projection neurons with strong responses during the maze runs had especially elevated responsiveness during the maze runs. Projection neurons that, instead, fired most strongly before maze running showed elevated pre-start firing rates, but not during maze running, as learning progressed. The intrastriatal dopamine depletion severely affected the learning-related patterning of fast-spiking interneuron ensembles, especially during maze running and after extended training. Remarkably, L-DOPA treatment almost entirely reversed the depletion-induced elevations in pre-run firing of the projection neurons, and elevated their responses around start and end of maze runs. By contrast, L-DOPA failed to normalize fast-spiking interneuron activity. Thus the effects of striatal dopamine depletion and restoration on striatal activity are highly dependent not only on cell type, as previously shown, but also on the behavioral activity called for and the state of behavioral learning achieved.

Effects of dopamine depletion on LFP oscillations in striatum are task- and learning-dependent and selectively reversed by L-DOPA.

A major physiologic sign in Parkinson disease is the occurrence of abnormal oscillations in cortico-basal ganglia circuits, which can be normalized by L-DOPA therapy. Under normal circumstances, oscillatory activity in these circuits is modulated as behaviors are learned and performed, but how dopamine depletion affects such modulation is not yet known. We here induced unilateral dopamine depletion in the sensorimotor striatum of rats and then recorded local field potential (LFP) activity in the dopamine-depleted region and its contralateral correspondent as we trained the rats on a conditional T-maze task. Unexpectedly, the dopamine depletion had little effect on oscillations recorded in the pretask baseline period. Instead, the depletion amplified oscillations across delta (~3 Hz), theta (~8 Hz), beta (~13 Hz), and low-gamma (~48 Hz) ranges selectively during task performance times when each frequency band was most strongly modulated, and only after extensive training had occurred. High-gamma activity (65-100 Hz), in contrast, was weakened independent of task time or learning stage. The depletion also increased spike-field coupling of fast-spiking interneurons to low-gamma oscillations. L-DOPA therapy normalized all of these effects except those at low gamma. Our findings suggest that the task-related and learning-related dynamics of LFP oscillations are the primary targets of dopamine depletion, resulting in overexpression of behaviorally relevant oscillations. L-DOPA normalizes these dynamics except at low-gamma, linked by spike-field coupling to fast-spiking interneurons, now known to undergo structural changes after dopamine depletion and to lack normalization of spike activity following l-DOPA therapy.

Habit learning is associated with major shifts in frequencies of oscillatory activity and synchronized spike firing in striatum.

Rhythmic brain activity is thought to reflect, and to help organize, spike activity in populations of neurons during on-going behavior. We report that during learning, a major transition occurs in task-related oscillatory activity in the ventromedial striatum, a striatal region related to motivation-dependent learning. Early on as rats learned a T-maze task, bursts of 70- to 90-Hz high-γ activity were prominent during T-maze runs, but these gradually receded as bursts of 15- to 28-Hz ß-band activity became pronounced. Populations of simultaneously recorded neurons synchronized their spike firing similarly during both the high-γ-band and ß-band bursts. Thus, the structure of spike firing was reorganized during learning in relation to different rhythms. Spiking was concentrated around the troughs of the ß-oscillations for fast-spiking interneurons and around the peaks for projection neurons, indicating alternating periods of firing at different frequencies as learning progressed. Spike-field synchrony was primarily local during high-γ-bursts but was widespread during ß-bursts. The learning-related shift in the probability of high-γ and ß-bursting thus could reflect a transition from a mainly focal rhythmic inhibition during early phases of learning to a more distributed mode of rhythmic inhibition as learning continues and behavior becomes habitual. These dynamics could underlie changing functions of the ventromedial striatum during habit formation. More generally, our findings suggest that coordinated changes in the spatiotemporal relationships of local field potential oscillations and spike activity could be hallmarks of the learning process.

Cellular and subcellular localization of Kir2.1 subunits in neurons and glia in piriform cortex with implications for K+ spatial buffering.

Potassium channels of the Kir2 family are widely expressed in neurons and glia, where they form strong inwardly rectifying channels. Existing functional hypotheses for these channels in neurons are based on the weak outward conductance, whereas the leading hypothesis for glia, that they promote potassium spatial buffering, is based on inward conductance. Although the spatial buffering hypothesis has been confirmed for Müller glia in retina, many aspects of Kir2 channels that will be required for understanding their functional roles in neurons and other forms of glia have received little or no study. Particularly striking is the paucity of data regarding their cellular and subcellular localization. We address this gap for Kir2.1-containing channels by using light and electron microscopic immunocytochemistry. The analysis was of piriform cortex, a highly epileptogenic area of cerebral cortex, where pyramidal cells have K(+)-selective strong inward rectification like that observed in Müller cells, where Kir2.1 is the dominant Kir2 subunit. Pyramidal cells in adult piriform cortex also lack I(h), the mixed Na(+)-K(+) current that mediates a slower form of strong inward rectification in large pyramidal cells in neocortex and hippocampus. The experiments demonstrated surface expression of Kir2.1-containing channels in astrocytes and in multiple populations of pyramidal and nonpyramidal cells. Findings for astrocytes were not consistent with predictions for K(+) spatial buffering over substantial distance. However, findings for pyramidal cells suggest that they could be a conduit for spatially buffering K(+) when it is highly elevated during seizure.