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Long-term Depression01:05

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Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
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Modeling Long-Term Depression Trajectories After Spinal Cord Injury Using Irregularly Sampled Assessments and

Alejandro García-Rudolph1,2,3, Maria Dolors Soler1,2,3, Anna Gilabert1,2,3

  • 1Department of Research and Innovation, Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Barcelona, Spain.

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PubMed
Summary

Depression after spinal cord injury can follow distinct paths, with some individuals experiencing delayed worsening. Early screening and long-term monitoring are crucial for effective psychological support.

Keywords:
depressionlatent class analysislongitudinal studiesregression analysisretrospective studiesspinal cord injuries

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Rehabilitation Medicine

Background:

  • Spinal cord injury (SCI) can lead to long-term mental health challenges, including depression.
  • Understanding depression trajectories post-SCI is vital for timely intervention and support.
  • Existing research often lacks long-term follow-up with irregularly timed assessments.

Purpose of the Study:

  • To identify and characterize latent depression trajectories in adults with SCI over up to 20 years post-injury.
  • To examine baseline rehabilitation variables associated with different depression trajectory memberships.
  • To determine predictors of sustained depressive burden after SCI.

Main Methods:

  • Retrospective observational cohort study of adults with traumatic or non-traumatic SCI.
  • Growth Mixture Modeling (GMM) applied to Hospital Anxiety and Depression Scale (HADS-D) data from 3,258 assessments (679 patients).
  • Multivariable regression used to analyze predictors of trajectory membership.

Main Results:

  • A 3-class GMM solution identified distinct depression trajectories: stable low (81.6%), borderline persistent (8.4%), and probable delayed worsening (10.0%).
  • The delayed worsening trajectory (Class 3) was more common in non-traumatic injuries and females, with symptoms emerging years post-rehabilitation.
  • Baseline predictors for borderline depression included depressive symptoms, tetraplegia, female sex, and lower education.

Conclusions:

  • Distinct depression trajectories exist post-SCI, including a significant risk for delayed-onset depression.
  • Early screening during rehabilitation and sustained long-term monitoring are essential for identifying and managing depression.
  • Targeted psychological support based on identified trajectories can improve patient outcomes.