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Mroz, L.

Publications and source records attributed to Mroz, L..

2 recordsLinked to original sources

Inherited input and local transformations shape the spatiotemporal organization of pathway specific striatal signals for motivated behavior

Adaptive behavior requires neural circuits to link sensory events with their location, predictive value, and temporal relationship to outcomes. Although striatal circuits are implicated in this process, it remains unclear how motivationally relevant signals are organized across striatal regions and direct- and indirect-pathway spiny projection neurons, and which components reflect afferent input versus local transformations. Using striatum-wide calcium recordings during visual conditioning in mice, we found that learned cue value, reward proximity, cue location, and lick-related behavior were encoded in distinct regions and time windows. These signals included both pathway-convergent representations and pathway-opponent dynamics. Striatum-wide measurements of glutamatergic input targeted to each SPN subtype revealed that rapid cue-location and lick-related signals were present in afferent input to both pathways, consistent with inherited representations. In contrast, pathway-opponent pDMS value signals and dSPN-selective pVLS ramping were absent from corresponding glutamatergic input dynamics, indicating local striatal transformations. These findings reveal region-specific input-output transformations that organize striatal signals for distinct components of motivated behavior.

neuroscience↗

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.

neuroscience↗