Rutgers-RWJMS Department of Neurology
Piscataway, New Jersey, 08854, United States
NCT Number: NCT04805957
The purpose of the research is to determine if changes seen during sulforaphane treatment (a compound that comes from eating certain vegetables) can better be understood using digital biomarkers. These digital biomarkers are things like heart rate, muscle movement etc. and are measured using non-invasive devices (like a watch) and are aimed at complementing the traditional clinical scores already in use in current trials (e.g. Aberrant Behavior Checklist (ABC), Social Responsiveness Scale (SRS) and Ohio Autism Clinical Impressions Scale (OACIS)).
Interested in participating?
Request Info13 year–30 year
Male
Interventional
Not applicable
Piscataway, New Jersey, 08854, United States
This study is a pilot open label treatment trial with SF (sulforaphane) in 10 individuals that have completed with moderate to severe autism, age 13-30 years that have completed participation in ClinicalTrials.gov Identifier: NCT02677051. This study will measure digital biomarkers of the nervous systems. Digital biomarkers are obtained by using non-invasive wireless (wearable, like wearing a watch) biosensors that co-register in tandem multiple biorhythms self-generated by the person's nervous systems. These sensors gather a very large amount of data from measures such as EEG (electroencephalogram), EKG (electrocardiogram), kinematics and others. These measures are done at the same time as the clinical evaluations and so results can be compared. Because the data are based on the unique fingerprint-like signatures of the person's nervous systems, it is possible to ascertain the person's progression in response to treatment and compare it to baseline states. The project will also compare these self-emerging clusters between subjects, possibly identifying patterns that correlate with sub-phenotypes or with similarities in response to treatment. Changes in things such as natural behaviors, an individual's ability or desire to interact socially and ability or desire to communicate will alter the signature profiles from baseline. Since these changes are dynamic in nature, trends of the evolving patterns and separate changes that are a consequence of the treatment vs. changes that are part of the natural neurodevelopment can be detected. This may be a valuable tool in future studies of underlying etiology. The technology used to perform these measures and the software to analyze the data are evolving rapidly. Last, with the characterized signatures and possibly overlapping patterns generated in this and in other projects it is foreseeable that a clinically relevant tool for measures in autism will follow.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Sulforaphane comes from eating certain cruciferous vegetables. In this case the pills are made from broccoli seeds.
Other names: Avmacol®
Time frame: Baseline.
Rating scale to measure severity aberrant behaviors
Time frame: Week 6.
Rating scale to measure severity aberrant behaviors
Time frame: Week 12, end of treatment.
Rating scale to measure severity aberrant behaviors
Time frame: Week 16.
Rating scale to measure severity aberrant behaviors
Time frame: Baseline.
Rating scale to measure social interaction.
Time frame: Week 6.
Rating scale to measure social interaction.
Time frame: Week 12, end of treatment.
Rating scale to measure social interaction.
Time frame: Week 16.
Rating scale to measure social interaction.
Time frame: Baseline.
Rating scale to measure autism severity and changes in severity.
Time frame: Week 6.
Rating scale to measure autism severity and changes in severity.
Time frame: Week 12, end of treatment.
Rating scale to measure autism severity and changes in severity.
Time frame: Week 16.
Rating scale to measure autism severity and changes in severity.
Time frame: Baseline.
Non-invasive biosensor measurements of micro-movements.
Time frame: Week 6.
Non-invasive biosensor measurements of micro-movements.
Time frame: Week 12, end of treatment.
Non-invasive biosensor measurements of micro-movements.
Time frame: Week 16.
Non-invasive biosensor measurements of micro-movements.
Time frame: Baseline
Electroencephalogram (EEG) measures electrical activity of the brain.
Time frame: Week 6.
Electroencephalogram (EEG) measures electrical activity of the brain.
Time frame: Week 12, end of treatment.
Electroencephalogram (EEG) measures electrical activity of the brain.
Time frame: Week 16.
Electroencephalogram (EEG) measures electrical activity of the brain.
Time frame: Baseline
Electrocardiogram (ECG or EKG) measures electrical signals from the heart.
Time frame: Week 6.
Electrocardiogram (ECG or EKG) measures electrical signals from the heart.
Time frame: Week 12, end of treatment.
Electrocardiogram (ECG or EKG) measures electrical signals from the heart.
Time frame: Week 16.
Electrocardiogram (ECG or EKG) measures electrical signals from the heart.
Time frame: Baseline
Measurement of electrical activity in Tissue.
Time frame: Week 6.
Measurement of electrical activity in Tissue.
Time frame: Week 12, end of treatment.
Measurement of electrical activity in Tissue.
Time frame: Week 16.
Measurement of electrical activity in Tissue.
Rutgers, The State University of New Jersey
Other
A Pilot Project to Validate Digital Bio-markers as a Tool to Measure Improvement in Core Symptoms of Autism During Sulforaphane Treatment.
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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