Krill oil improves clinical scores in ADHD

Detailed data was provided by Aker BioMarine, processors of Antractic krill oi,l in an Educational Presentation at the Supply Side West Trade Convention in Las Vegas in October, of a clinical study in children with ADHD that has demonstrated significant improvements in both clinical scores and in identified EEG patterns among children supplementing with krill oil.

Eighteen boys (aged 7-11) with attention deficit hyperactive disorder (ADHD) were supplemented daily with Superba(TM) Krill Oil for a period of 13 weeks. The EEG pattern for the study participants was compared to a database of more than 400 children with an established ADHD diagnosis, providing ample comparative data. (See below for more on Database Supported Diagnostics.)

According to Hogne Vik MD, PhD, of Aker BioMarine, "This is an important observation identifying positive effects on the central nervous system (CNS) after supplementation of krill oil in humans. For the first time objective EEG-measurements—before and after a 90 day intervention period with krill oil—have confirmed observed improvements in a clinical CNS condition. The findings in this study will be published and followed-up with additional clinical studies in populations at risk for developing CNS disorders."

Krill oil, harvested in the Antarctic, is a natural source of EPA & DHA omega-3 essential fatty acids in phospholipid form, and of the naturally occurring antioxidant astaxanthin.

Database Supported Diagnostics The technological platform applied is termed Database Supported Diagnostics (DSD). DSD requires a database of information about known cases. The information in the database is biological and health related data from groups of patients with known diseases as well as subjects that are deemed healthy with respect to the specific disease. Given such a database, contemporary multivariate statistical methods are applied in order to determine how well a given subject to be tested fits specific groups in the database. This is in many ways analogous to how an experienced medical doctor diagnoses a patient. The doctor looks for symptoms, (biological and health related data), and compares them to cases she or he has experienced or read about, (the database), which then leads to a diagnostic conclusion on his behalf, (statistical comparison to known cases).
Such a technological platform has been developed for dementia, with a particular focus on Alzheimer's disease. Electroencephalography (EEG) is sensitive to the state of the metabolism of the brain. A database of information has been gathered from healthy control subjects as well as from dementia patients.


First Published in October 2010


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