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N/A N=42

Examination of Quantitative Electroencephalographic (QEEG) Biomarkers in Huntington's Disease

Huntington's Disease

Enrolled (actual)
42
Serious AEs
Results posted
Aug 2010
Primary outcome: Primary: Quantitative Electroencephalography Absolute Delta Power. — 43.45; 10.11 microvolts squared — p=<0.0000001

Study Design & Population

Study type
Observational
Phase
N/A
Interventions
Age
Adult, Older Adult · 21+ yrs
Sex
All
Sponsor
University of California, Los Angeles
Primary completion
Feb 2008

Outcome Measures

OutcomeResultp-value
PRIMARY
Quantitative Electroencephalography Absolute Delta Power.
43.45; 10.11 <0.0000001 sig
PRIMARY
Quantitative Electroencephalography Absolute Alpha Power.
56.09; 18.12 <0.005 sig

Summary

The pace of basic science research defining the mechanisms of selective neuronal degeneration in Huntington disease (HD) has far exceeded the pace of translation of this information into clinically effective treatments for the disease. One reason for this bottleneck between bench and bedside is the paucity of available surrogate markers for HD. Identification of surrogate markers is critical for the design of future clinical trials. Such markers could provide a reliable signal of early brain dysfunction in HD and could be used as a biomarker in trials of agents that could prevent onset or delay progression of disease. Frontal-subcortical networks are known to be affected in HD and contribute to the cognitive dysfunction characteristic of the disease. Quantitative EEG (QEEG) can be used to assess the integrity of this circuitry; characteristic QEEG abnormalities long have been known to be present in the early stages of the illness (Bylsma et al., 1994). More recent research has suggested that a comprehensive topographic approach to QEEG analysis may reveal additional changes in brain activity (Bellotti et al., 2004) that may be indicative of subclinical disease (de Tommaso et al., 2003). This proposal aims to determine whether quantitative EEG techniques can be used to identify HD-specific abnormalities and thus serve as surrogate markers of disease. The goals of this pilot project are three-fold. First, we will determine if there are QEEG differences between normal control subjects and those with mild or moderate HD. Second, we will examine associations between severity of HD and the QEEG differences detected and determine if these QEEG differences are present when comparing the least affected HD subjects and normal controls. Third, we will examine associations between QEEG variables of interest and other clinical variables, including age of onset of symptoms, number of CAG repeats, severity of motor and behavioral symptoms as measured by the Unified Huntington Disease Rating Scale (UHDRS) subscores, and severity of cognitive impairment as measured by the cognitive subscore of the UHDRS and Mini-Mental State Examination (MMSE).

Eligibility Criteria

Inclusion criteria

  • Subjects affected by HD or those who are at risk for HD by virtue of having a first-degree relative with the illness, methamphetamine abuse or dependence, as well as normal controls, can participate.
  • All subjects will be above the age of 21.
  • Subjects will be recruited from clinical settings, and will also be self-referred.

Exclusion criteria

  • Individuals with pacemakers, infusion pumps, or metallic shrapnel will be excluded from MRI assessments.
  • Such implanted metals may be attracted by the MRI machine and put the individual at risk.
  • Moreover, individuals with a history of brain surgery and/or skull fracture will also be excluded.
View full record on ClinicalTrials.gov →

Data sourced from ClinicalTrials.gov (NCT00670709). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication.

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