IBANGS Annual Meeting 2026:
Genes, Brain and Behavior
June 8-11, 2026
University of Pittsburgh, Pittsburgh, PA, USA
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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Selected Talks 2 Location: Assembly Room/Ballroom Session Chair: Gregg Homanics Session Chair: Carlos Novoa Session Chair: Aijun Zhang Session Chair: Antonio Marini-Davis | |
| Presentation 1 | |
CaMPARI2 enables stimulus-locked whole-brain activity mapping at cellular resolution in unrestrained larval zebrafish Haverford College KR Robbins1, A Bredbenner1, RA Osbaldeston2, KS Villafañe2, EE Shin2, E Merkulova1, A Clevenger1, PB Delean2, C Campos2, GC Peet2, RA Jain1,2 Visualizing active neurons and circuits in vivo is critical for investigating the neural activity that underlies behavior. While several established methodologies are available to achieve this end in larval zebrafish, they are limited by the scale of tissue visualization, temporal resolution, need to restrain larvae, and/or accessibility of necessary instruments. Here, we establish a pipeline for the visualization and quantification of spatiotemporally precise whole-brain neural activity in larval zebrafish using CaMPARI2, a genetically encoded photoconvertible calcium indicator. Using temporally specific photoconverting UV light exposures, we capture whole-brain “snapshots” of neural activity time-locked to stimuli during unrestrained larval behavior. We optimized experimental conditions for establishing sub-second neuronal activity changes across acoustically-evoked behavioral paradigms spanning minutes to hours. We then leveraged this system to pinpoint brain-wide neural activity changes during nonassociative habituation learning, observing distinct activity signatures in the subpallium, preoptic area, and habenulae that are altered through pharmacological and/or genetic disruption of habituation learning. This approach effectively complements the temporal precision achievable through post hoc activity detection methods and expands the accessibility of large-scale behavioral circuit dissection beyond highly specialized real-time volumetric imaging equipment. 1Bi-College Interdisciplinary Neuroscience Program, Haverford College, Haverford PA, USA 2Department of Biology, Haverford College, Haverford PA, USA Funding Support: NIH R15EY031539 | |

