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Completed No phase listed Observational Accepts healthy volunteers Results available

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

ClinicalTrials.gov ID: NCT00670709

Public ClinicalTrials.gov record NCT00670709. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.

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Official title

Examination of Quantitative Electroencephalographic Biomarkers in Huntington's Disease: A Pilot Project

Brief summary

Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.

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).

Study identification

NCT ID
NCT00670709
Recruitment status
Completed
Study type
Observational
Phase
Not listed
Enrollment
42 participants

Conditions and interventions

Interventions

Not listed

Eligibility (public fields only)

Age range
21 Years to 85 Years
Sex
All
Healthy volunteers
Accepts healthy volunteers

This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.

Study timeline

Start date
Aug 31, 2006
Primary completion
Jan 31, 2008
Completion
Jan 31, 2008
Last update posted
Nov 8, 2023

2006 – 2008

United States locations

U.S. sites
1
U.S. states
1
U.S. cities
1
Facility City State ZIP Site status
UCLA Laboratory of Brain, Behavior,a nd PHarmacology Los Angeles California 90024

Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.

About this trial record page

What this page shows
Public field values for ClinicalTrials.gov record NCT00670709, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
What this page does not do
No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
Where the data comes from
Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
Last refresh
Last update posted Nov 8, 2023 · Synced Sep 6, 2026

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