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Updated: Apr 11, 2026

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Live Imaging of Nicotine Induced Calcium Signaling and Neurotransmitter Release Along Ventral Hippocampal Axons
Published on: June 24, 2015
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Depressive status modulates hippocampal-cortical dynamics during acute nicotine use
Biorxiv : the Preprint Server for Biology
|April 10, 2026
Summary
Depression impacts how the brain responds to nicotine. Neural activity patterns during nicotine use differed between individuals with and without depression, suggesting distinct neurophysiological subtypes for personalized treatment.
Area of Science:
- Neuroscience
- Psychiatry
- Addiction Medicine
Background:
- Nicotine use disorder (NUD) treatment response varies, possibly due to differences in neural circuits, especially with co-occurring depression.
- Understanding these neural differences is crucial for developing effective, personalized NUD treatments.
Purpose of the Study:
- To investigate real-time neural dynamics during nicotine inhalation in individuals with and without depression.
- To explore how depressive status modulates hippocampal activity and hippocampal-cortical connectivity in response to nicotine.
Main Methods:
- Simultaneous hippocampal recordings using responsive neurostimulation (RNS) electrodes and scalp electroencephalography (EEG) were performed in two chronic nicotine users (one with depression, one without).
- Analysis focused on oscillatory activity and hippocampal-cortical connectivity, correlated with mood and craving states.
Main Results:
- Oscillatory activity correlated with mood in the non-depressed individual but showed attenuated or reversed patterns in the depressed individual, indicating reduced reward responsiveness.
- Both participants exhibited reduced alpha hippocampal-cortical connectivity post-nicotine, suggesting a shift towards reward and relief processing.
Conclusions:
- Depressive status may significantly modulate neural dynamics and hippocampal-cortical connectivity during nicotine use.
- Findings support a network-based framework for NUD and highlight the potential for identifying neurophysiological subtypes to guide personalized treatment strategies.
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