Search bioRxiv⌕ Search

Biology subjects

Topilko, T.

Publications and source records attributed to Topilko, T..

5 recordsLinked to original sources

Ventral pallidal GABAergic neurons control hedonic feeding and obesity

Food intake is governed by two interacting drives. The homeostatic hunger drive regulates food intake to fulfill caloric needs while the hedonic drive promotes intake of palatable foods outside of caloric need. It is unclear which neural substrates can control the hedonic drive and thereby reduce overeating of palatable foods and associated obesity. Here, we show that ventral pallidal GABAergic neurons (VPGABA) preferentially control hedonic feeding and are necessary for diet-induced obesity in mice. Stimulating VPGABA neurons drove robust consumption of high-fat diet and liquids, but not regular laboratory chow. Despite driving intake of palatable foods, VPGABA neurons are relatively insensitive to homeostatic signals - they express few hunger-hormone receptors and are not activated by ghrelin administration or fasting. Single-cell calcium imaging revealed stronger engagement of VPGABA neurons during long vs short feeding bouts, suggesting control over bout duration, which has been linked to palatability. This was confirmed with closed-loop optogenetic stimulation. Finally, taCasp3-mediated ablation of VPGABA neurons reduced intake of palatable liquids and blocked high-fat diet-induced obesity without impacting homeostatic feeding. Together, these findings establish VPGABA neurons as a neural population that preferentially controls hedonic over homeostatic feeding and can be leveraged to block obesity in mice.

neuroscience↗

FPmotion an Automated Signal Processing and Statistical Analysis Tool for Fiber Photometry Data

Fiber photometry measures neural activity in vivo from genetically encoded indicators. Recordings generate large datasets that require extensive preprocessing and robust statistical methods for meaningful interpretation. However, existing analysis tools demand programming expertise, limiting accessibility. Here we describe FPmotion, a comprehensive, user-friendly software platform for batchwise processing, integration, and statistical analysis of fiber photometry data with or without accompanying behavioral information. FPmotion performs filtering, isosbestic regression, {Delta}F/F computation, detrending, and z-scoring. It also extracts detailed peak properties at whole-file, block-level, and individual-peak resolution. When behavioral data is provided, FPmotion automatically identifies behavioral bouts, computes bout-level statistics, performs peri-event signal extraction, and supports multi-group comparisons through ANOVA- and LMEM-based statistical frameworks. All analyses generate publication-ready figures and structured CSV outputs suitable for downstream workflows. FPmotion also introduces a dedicated alignment module for peri-event signal analysis. This module applies dynamic time warping followed by barycenter averaging to realign peri-event traces while preserving the behavioral time anchor, producing cleaner and more temporally coherent peri-event motifs. We demonstrate FPmotions capabilities using the dlight1.1 sensor to measure dopamine responses from ventral striatum in behaving mice before and after amphetamine treatment. Together, FPmotion offers a fully automated framework for FP data analysis that improves interpretability and accessibility while reducing analysis time substantially.

neuroscience↗

Nicotine in adolescence freezes dopamine circuits in an immature state

Nicotine use during adolescence is largely associated with negative long-term outcomes, including addiction to nicotine in adulthood. How nicotine acts on developing neurocircuitry in adolescence remains largely unknown, but may hold the key for informing more effective intervention efforts. We found transient nicotine exposure in early adolescence was sufficient for adult mice to show a marked vulnerability to nicotine. Brain-wide activity mapping showed that these mice had an enhanced response to an acute nicotine injection and widespread disruption of functional connectivity in comparison to controls, particularly within dopaminergic networks. Neurophysiological analysis further revealed that their ventral tegmental area (VTA) dopamine neurons show an immature basal plasticity signature and an adolescent-like imbalance in nicotine-induced activity between nucleus accumbens (NAc) and amygdala (AMG)-projecting pathways, known to respectively produce the reinforcing and anxiogenic effects of nicotine. The anxiogenic effect of nicotine is abolished in adult mice treated with nicotine in adolescence, strongly resembling the normal phenotype of young mice. Together these results suggest that nicotine exposure in adolescence somehow "froze" both their neural circuit and behavioral reaction to nicotine, carrying an adolescent-like vulnerability to the drug into adulthood. Finally, we are able to "thaw" the behavioral response to acute nicotine in adolescent-exposed mice by chemogenetically resetting the balance between the underlying NAc- and AMG-projecting dopamine circuits, restoring a mature anxiety-like response to acute nicotine. Together, our results highlight how diverse dopamine pathways can be impacted by experience in adolescence, and further suggest that the perseverance of a developmental imbalance between dopamine pathways may alter vulnerability profiles for later dopamine-dependent psychopathologies.

neuroscience↗

Individual variations in reward-seeking adaptability emerge among isogenic mice living in a micro-society and predict their response to nicotine

Individual animals differ in their traits and preferences, which shape their social interactions, survival, and susceptibility to disease, including addiction. Nicotine use is highly heterogenous, and has been linked to the expression of personality traits. Although these relationships are well-documented, we have limited understanding of the neurophysiological mechanisms that give rise to distinct personalities and their connection to nicotine susceptibility. To address this question, we conducted a study using a semi-natural and social environment called "Souris-City" to observe the long-term behavior of individual mice. Souris-City provided both a communal living area and a separate test area where mice engaged in a reward-seeking task isolated from their peers. Mice developed individualistic reward-seeking strategies when choosing between water and sucrose in the test compartment, which, in turn, predicted how they adapted to the introduction of nicotine as a reinforcer. Moreover, mouse profiles in isolation also extended to correlate with their behavior within the social environment, linking decision-making strategies to the expression of behavioral traits. Neurophysiological markers of adaptability within the dopamine system were apparent upon nicotine challenge, and were associated with specific profiles. Our findings suggest that environmental adaptations influence behavioral traits and sensitivity to nicotine by acting on dopaminergic reactivity in the face of nicotine exposure, potentially contributing to addiction susceptibility. These results further emphasize the importance of understanding inter-individual variability in behavior to gain insight into the mechanisms of decision making and addiction.

neuroscience↗

The mesoSPIM initiative: open-source light-sheet mesoscopes for imaging in cleared tissue

Over the course of the past decade, tissue clearing methods have reached a high level of sophistication with a wide variety of approaches now available1. To image large cleared samples, light-sheet microscopes have proven to be ideal due to their excellent optical sectioning capability in transparent tissue2. Such instruments have recently seen extensive technological and commercial development. However, despite this progress, the community is lacking instruments capable of exploring large samples with near-isotropic resolution within minutes. Here, we introduce the mesoscale selective plane-illumination microscopy (mesoSPIM) initiative, an open-hardware project that provides researchers with instructions and software to easily build and operate light-sheet microscopes for centimeter-sized cleared samples (http://www.mesospim.org).\n\nA wide range of commercial light-sheet microscopes have ...

neuroscience↗