Search bioRxiv⌕ Search

bioRxiv · 10.1101/344499

Deletion of the alternative splice variant KChIP4a in midbrain dopamine neurons selectively enhances extinction learning

Abstract

Midbrain dopamine neurons are essential for flexible control of adaptive behaviors. DA neurons that project to different target regions have unique biophysical properties, and it is thought that this diversity reflects functional specialization. This assumption implies the presence of specific genetic determinants with precise impacts on behavior. We tested this general hypothesis by homing in on one particular biophysical mechanism, Kv4 channel inactivation, using a combination of molecular, proteomic, electrophysiological, computational, and behavioral approaches. We demonstrate that KChIP4a, a singular Kv4 {beta}-subunit splice variant, prolongs hyperpolarization-rebound delays selectively in dopamine neurons projecting to the nucleus accumbens core, shifts the integration of inhibitory inputs and, in turn, selectively regulates learning from negative prediction-errors. Our results reveal a highly specialized, gene-to-behavior mechanistic chain that is only operative in a particular dopaminergic subsystem, illuminating how molecularly defined biophysical switches are employed for neuron subtype-specific information processing in the brain. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=70 SRC="FIGDIR/small/344499v3_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@167984borg.highwire.dtl.DTLVardef@3f8fbborg.highwire.dtl.DTLVardef@f5402aorg.highwire.dtl.DTLVardef@147bb3b_HPS_FORMAT_FIGEXP M_FIG C_FIG

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Costa, K. M., Roeper, J.. 2018-06-12. Deletion of the alternative splice variant KChIP4a in midbrain dopamine neurons selectively enhances extinction learning. https://doi.org/10.1101/344499

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Presynaptic PMCA interacts with Dlg, regulating in vivo synaptic calcium in Drosophila larval NMJ

Precise regulation of presynaptic Ca2+is essential for neurotransmitter release and synaptic function. At the Drosophila larval neuromuscular junction (NMJ), the plasma membrane Ca2+-ATPase (PMCA) mediates presynaptic Ca2+; extrusion and is enriched in peri-active-zone membrane domains. Here, we investigated how PMCA distribution is regulated and contributes to synaptic function. Co-immunoprecipitation and super-resolution STED microscopy revealed that PMCA interacts and co-localizes with the MAGUK scaffold protein Discs large (Dlg) in discrete presynaptic membrane clusters. Neuronal depletion of the DlgS97 isoform disrupted PMCA clustering without substantially altering its abundance, redistributing the pump into smaller membrane puncta. Reporter assays further showed that PDZ-binding motifs in the PMCA C-terminus mediate its interaction with Dlg and are required for normal cluster formation. Electrophysiological analyses revealed that reducing either PMCA or Dlg increased spontaneous neurotransmitter release and enhanced asynchronous release following high-frequency stimulation. PMCA depletion also prolonged postsynaptic current decay during repetitive stimulation, implicating PMCA in the rapid regulation of presynaptic Ca2+; signals. Together, these findings identify Dlg as a key organizer of presynaptic PMCA and establish a link between synaptic scaffold organization and Ca2+; homeostasis in vivo. Our results demonstrate that PMCA contributes to maintaining resting presynaptic Ca2+; levels, restoring Ca2+; homeostasis after repetitive stimulation, and regulating Ca2+; dynamics following a single stimulus. These findings highlight the importance of the nanoscale organization of Ca2+; extrusion machinery in controlling neurotransmitter release at the Drosophila NMJ.

neuroscience↗

Context-dependent effects of ketamine on emotional evidence integration

Understanding others' emotions requires continuously integrating noisy affective information as emotional states change over time. Research on emotion processing, however, has thus far focused on static environments or discrete events. Here, we developed a continuous emotional evidence integration task in which participants had to track the average emotional state in a rapidly changing sequence of faces under different levels of environmental volatility. This allowed us to examine emotion integration in changing environments. In online (n=92) and in-person (n=29) cohorts, participants integrated emotional information over longer timescales in stable environments while relying more strongly on recent evidence under volatility, consistent with principles established in perceptual decision-making. We further examined whether this process was modulated by ketamine, an NMDA receptor antagonist associated with evidence integration in the perceptual domain. We conducted a double-blind, placebo-controlled, within-subject study and probed emotion integration during the post-acute period, approximately 1.5 hours after the infusion. Ketamine modulated the temporal weighting of emotional evidence, shifting the balance between recent and past information depending on environmental volatility. Together, these findings show that emotional evidence integration dynamically adapts to the statistical structure of the environment and that ketamine can further modulate this process, which may have relevance for affective disorders.

neuroscience↗

Characterising cortical perturbation-recovery dynamics using TMS-EEG: The Brain Dynamic Toolbox

Objective: To adapt dynamical measures used in computational and experimental perturbation models to human transcranial magnetic stimulation and electroencephalography (TMS-EEG) and determine whether analysis of the extended post-stimulation trajectory reveals additional features of the cortical response to long-interval intracortical inhibition (LICI). Methods: Single pulse and paired pulse LICI TMS-EEG responses from the bilateral dorsolateral prefrontal cortex were re-analysed in 16 healthy adults. At the stimulation site, 75 single-pulse and 75 paired-pulse trials were delivered; paired pulses comprised conditioning and test stimuli separated by 100 ms. Responses from 20 frontocentral EEG channels were analysed from 50-950 ms following TMS using the open source Brain Dynamic Metric Toolbox. Perturbative Integration Latency Index (PILI) indexed cortical resilience via response energy and recovery, Autocorrelation Function Width (ACFW) captured temporal memory, and Lyapunov Exponent (LE) indicated the dynamical stability. Linear mixed-effects models examined temporal, spectral, and time-frequency effects from the measured metrics. Results: LICI altered the temporal evolution of the dynamical measures. PILI distinguished conditions in the earliest post-stimulation window before converging, whereas ACFW differences persisted across a broader early interval. LE showed weaker and less consistent discrimination. Spectral effects were most evident for ACFW, while time-frequency analyses revealed later, frequency-specific LICI effects for PILI and ACFW but not LE. Conclusions: The extended post-stimulation trajectory revealed LICI-related differences in cortical resilience and temporal memory with distinct temporal and spectral profiles, while effects on dynamical stability were less consistent. Significance: The Brain Dynamic Metric Toolbox provides a reproducible framework for quantifying perturbation-recovery dynamics in TMS-EEG and demonstrates that the extended perturbational response contains information about LICI not captured by discrete early response measures.

neuroscience↗