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February 11, 2026eLife0 citationsOpen Access

In vivo autofluorescence lifetime imaging of spatial metabolic heterogeneities and learning-induced changes in the Drosophila mushroom body

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PRPhilémon RousselMZMingyi ZhouCSChiara Stringari

Key Points

  • To explore the metabolic dynamics in Drosophila neurons, particularly in relation to cognitive functions like memory.
  • Utilized NAD(P)H fluorescence lifetime imaging (FLIM) to assess neuronal metabolic profiles.
  • Examined metabolic variations in Drosophila mushroom bodies and surrounding areas.
  • Measured metabolic changes after associative olfactory learning.
  • Identified significant differences in metabolic profiles between neuropil and cortex areas.
  • Revealed heterogeneity in basal metabolic profiles among different MB neuron subtypes.
  • Observed a low-magnitude subtype-specific metabolic shift following memory formation.

Abstract

Neuronal energy regulation is increasingly recognized as a critical factor underlying brain functions and their pathological alterations, yet the metabolic dynamics that accompany cognitive processes remain poorly understood. As a label-free and minimally invasive technique, fluorescence lifetime imaging (FLIM) of coenzymes NADH and NADPH (collectively referred to as NAD(P)H) offers the possibility to resolve cellular metabolic profiles with high spatial precision. However, NAD(P)H FLIM’s capacity to detect subtle variations in neuronal metabolism has not been demonstrated. In this study, we applied NAD(P)H FLIM to map the metabolic profiles of Drosophila neurons in vivo across multiple scales, focusing on the primary centers for associative memory: the mushroom bodies (MBs). At a broad scale, we obtained an overview of the metabolic signatures of the main brain tissue and identified a marked difference between neuropil and cortex areas. At a finer scale, our findings revealed notable heterogeneity in the basal metabolic profiles of distinct MB neuron subtypes. Measurements performed after associative olfactory learning also uncovered a low-magnitude subtype-specific metabolic shift associated with memory formation, suggesting the utility of NAD(P)H FLIM in detecting physiology-driven changes linked to brain function. These results establish a promising framework for studying the spatial heterogeneities and the dynamics of cerebral energy metabolism in vivo.

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Cite This Study

Roussel et al. (2026) studied this question.

synapsesocial.com/papers/698c1cd3267fb587c655f900https://doi.org/10.7554/elife.106040.3
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