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Certain drugs can affect how neurotransmitters called catecholamines, are released or taken back up in the adrenergic neuron. They can have different effects on the body's sympathetic transmission. Reserpine, a natural compound found in the Rauwolfia shrub, blocks a transporter called vesicular monoamine transporter (VMAT), which leads to a buildup of catecholamines in the cell and reduces sympathetic transmission. Another drug called guanethidine works in multiple ways, including blocking...
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Inferring norepinephrine dynamics from partial observations reveals the temporal structure of elevations during

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Hemodynamic artifacts challenge norepinephrine (NE) imaging. We developed tiered methods, including dual-channel recording and AI models, to correct these artifacts, enabling clearer insights into NE signaling dynamics.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Hemodynamic artifacts complicate two-photon fluorescence imaging of genetically encoded reporters, especially when biological signals and vascular dynamics occur on similar timescales.
  • Existing correction methods like isobestic recording or repeated experiments are often impractical for real-time neuromodulator studies.
  • Accurate measurement of neuromodulator dynamics, such as norepinephrine (NE), is crucial for understanding brain function.

Purpose of the Study:

  • To introduce a flexible, tiered framework for correcting hemodynamic artifacts in norepinephrine (NE) imaging.
  • To enable accurate inference of NE dynamics across different recording scenarios, from ideal to data-limited.
  • To investigate the temporal relationship between locus coeruleus (LC) noradrenergic axonal activity and extracellular NE release in the cortex.

Main Methods:

  • Verification of dual-channel recording with an inert fluorescent reporter for direct hemodynamic correction.
  • Development and application of a Long Short-Term Memory (LSTM)-based model for post-hoc artifact removal using NE signals and behavioral data.
  • Recovery of NE dynamics features from behavioral variables alone when fluorescence recordings are unavailable.
  • Simultaneous two-photon imaging of LC noradrenergic axons and extracellular NE, coupled with behavioral monitoring.

Main Results:

  • Dual-channel recording effectively corrects hemodynamic artifacts in real-time.
  • The LSTM model successfully predicts and removes hemodynamic contributions from NE signals.
  • Key features of NE dynamics can be estimated from behavioral data alone, offering a proxy for neuromodulatory state.
  • Cortical NE signals exhibit graded responses to behavioral intensity, correlating with locomotion and pupil dilation.
  • Extracellular NE levels integrate LC output over time, peaking later than axonal activity and remaining elevated post-activity.

Conclusions:

  • Accurate hemodynamic correction is essential for reliable interpretation of norepinephrine dynamics.
  • The developed tiered framework provides robust methods for NE signal analysis across diverse experimental conditions.
  • Extracellular NE signaling reflects a temporal integration of locus coeruleus output, rather than instantaneous firing.
  • These findings offer a clearer understanding of the temporal structure of cortical norepinephrine signaling and its relation to behavior.