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Exploring the heterogeneous morphometric data in essential tremor with probabilistic modelling.

Thomas A W Bolton1, Dimitri Van De Ville2, Jean Régis3

  • 1Department of Clinical Neurosciences, Neurosurgery Service and Gamma Knife Center, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland; Department of Radiology, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland.

Neuroimage. Clinical
|December 14, 2022
PubMed
Summary
This summary is machine-generated.

Essential tremor (ET) exhibits significant variability. This study found that atypical brain structure variations in essential tremor patients correlate with clinical symptoms, highlighting the need for advanced analytical methods to understand this heterogeneity.

Keywords:
Cortical thicknessEssential tremorGaussian mixture modelHand tremorHead tremorHeterogeneityMean curvatureMultivariate GaussianSurface areaSurface-based morphometry

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Area of Science:

  • Neuroscience
  • Neurology
  • Medical Imaging

Background:

  • Essential tremor (ET) is a common movement disorder with considerable clinical heterogeneity.
  • Understanding the neurobiological basis of this variability is crucial for effective management.

Purpose of the Study:

  • To investigate the morphometric differences in brain structure between patients with essential tremor and healthy controls.
  • To explore the relationship between brain structure variability and clinical heterogeneity in essential tremor.

Main Methods:

  • Utilized advanced statistical modeling (multivariate Gaussian, mixture of Gaussians, Partial Least Squares) on brain morphometric data from 34 ET patients and 29 healthy controls.
  • Analyzed variations in surface area and mean curvature across brain regions.
  • Correlated morphometric findings with clinical features such as tremor severity, symptom duration, and daily life impairments.

Main Results:

  • No significant differences in mean morphometric values were found between ET patients and controls, underscoring the limitations of basic group comparisons.
  • Increased variance in surface area was observed in specific cortical regions (lingual, caudal anterior cingulate) in ET patients.
  • Reduced variance in mean curvature was noted in several cortical areas (superior temporal, pars triangularis, supramarginal, paracentral gyri) and altered heterogeneity in the right putamen.
  • Cortical gyrification was inversely related to head tremor severity and symptom duration.
  • Atypical morphometric profiles correlated with more severe upper limb tremor and daily life impairments.

Conclusions:

  • The study identifies candidate morphometric substrates for clinical variability in essential tremor.
  • Demonstrates that advanced analytical approaches capable of handling multivariate data are essential for uncovering complex relationships between brain structure and clinical presentation in ET.
  • Highlights the importance of considering individual morphometric variability in essential tremor research and potentially in clinical practice.