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Pourmir, F.

Publications and source records attributed to Pourmir, F..

2 recordsLinked to original sources

A direct SCN-to-DMH output pathway organizes circadian behavioral timing

Circadian rhythms in behavior depend on the suprachiasmatic nucleus (SCN), but how SCN timekeeping is transmitted to downstream circuits that organize daily behavioral rhythms remains poorly defined. The dorsomedial hypothalamus (DMH) has been implicated in circadian behavioral output, but lesion studies cannot determine whether the DMH contributes through local molecular timekeeping or through intact neurons that relay SCN-derived timing signals. Here, we combined DMH neuronal ablation, local molecular clock disruption, retrograde and intersectional tracing, single-cell RNA sequencing, and intersectional optogenetics to define and test a direct SCN-to-DMH output pathway. DMH neuronal ablation disrupted locomotor activity rhythms, whereas DMH Cry1/2 disruption did not, indicating that intact DMH neurons, but not local molecular timekeeping, are required for locomotor rhythmicity. Retrograde tracing identified a sparse population of DMH-projecting SCN neurons concentrated in the dorsal SCN. These neurons showed minimal overlap with canonical AVP- and VIP-expressing SCN populations and were most strongly represented in a Prokr2/Vipr2-expressing transcriptional cluster. Repeated activation of DMH-projecting SCN neurons entrained locomotor rhythms, produced persistent phase shifts after stimulation ended, and compressed the temporal distribution of activity during entrainment. Together, these findings identify sparse, molecularly distinct DMH-projecting SCN neurons capable of organizing circadian locomotor timing.

neuroscience↗

An integrated workflow for long-term fiber photometry analysis

Long-term fiber photometry enables measurement of neural dynamics across hours to days, but these recordings create analytical and reproducibility challenges that are not well addressed by tools developed for short, stimulus-locked experiments. Here we present a software environment for long-term photometry analysis organized around a structured, revisitable workflow for run execution, inspection, and post-run refinement. The software separates correction retuning from downstream event reanalysis, allowing both signal correction and event-analysis settings to be revised after the initial run. We show that correction choice can substantially change the corrected signal itself and that post-run reanalysis can revise event-detection outcomes. The software also preserves tonic and phasic outputs and supports inspection of the same recording at both multiday and session-level scales. Together, these capabilities provide a practical workflow for more interpretable, revisitable, and reproducible analysis of long-term photometry recordings.

neuroscience↗