Tag Archives: CogniFit

Shaklee and CogniFit decided to team up!

Shaklee and CogniFit decided to team up, and provide MindWorks consumers with a revolutionary program that provides nutritional support and brain training software

Are you having problems concentrating or remembering things? Is your mind often racing? Do you often feel fatigued and unfocused? Well, we have the answer for you! Discover a new revolutionary product that is designed to nourish the brain: MindWorks. MindWorks is the latest advancement in brain science from Shaklee Corporation, which includes access to CogniFit’s personalized brain training program.

Shaklee Corporation is once again demonstrating its commitment to safe, scientifically validated products that help people live healthier lives with its introduction of Shaklee MindWorks. “Unlike other cognitive health supplements, this exclusive leading-edge formula, based on proprietary ingredient technology, has been shown to provide benefits in both the short and long term,” says Shaklee Chief Science Officer, Bruce Daggy, Ph.D.

Did you know that the brain’s neural connections start declining as early as age 20? By age 45, this decline occurs even more rapidly, which may lead to increased frequency of forgetfulness, poorer concentration and slower reaction times. Maintaining brain health depends on proper nutrition, regular exercise and healthy circulation.

MindWorks is the latest product from Shaklee, a pioneer in nutritional health. The product contains nutrients shown in laboratory studies to promote the formation of new neural connections in the brain, and in a clinical study to reduce brain shrinkage rate.

The evidence of their benefits includes three clinical studies plus dozens of laboratory studies. Shaklee’s MindWorks contains key ingredients that have three important benefits. First, the population using MindWorks shows immediate improvement in memory and focus three times better than the control group. Second, MindWorks protects against age-related mental decline, as shown in clinical studies by reducing brain shrinkage rate by 30% over two years. 223 adults with mild cognitive impairment were selected for this two year study. Lastly, MindWorks supports healthy circulation, which is important for the delivery of oxygen and key nutrients to the brain.

MindWorks comes with a unique blend of ingredients, and CogniFit’s personalized brain training software to deliver both nourishment and exercise for the brain. A new chardonnay seed extract, exclusive only to Shaklee, is made with a patent-pending extraction process that concentrates specific polyphenols that are clinically proven to be more bioavailable than those used in non-Shaklee products. Unlike energy products that use caffeine-spiked guarana, Shaklee sourced guarana for a specific polyphenol blend.  One serving of Mindworks contains less caffeine than a medium cup of decaf coffee.

Enhance mental sharpness and support long-term brain health. Get Mindworks now!

U.S. Navy uses CogniFit

U.S. Navy uses CogniFit

Pilot fatigue has long been a concern. It has been a problem and a threat to the safety and effectiveness of military and civil transportation. It is the most frequently cited physiological factor contributing to the occurrence of U.S. Naval Aviation flight mishaps. To predict the risks associated with fatigue the aviation industry generally uses tool called “biomathematical models”. Researchers from the United States Navy found that the predictive ability of these tools was significantly improved with the addition of a cognitive program from CogniFit.

The study was published last September in the journal Aviation, Space, and Environmental Medicine. The U.S. Navy research team was from the Naval Medical Research Unit of Dayton, in Ohio.

The predictive modeling approach, based in biomathematical models of fatigue, has a decades-long history of predicting fatigued performance with moderate success. Biomathematical models of human fatigue are a useful tool, incorporating aspects of fatigue science into scheduling through predictions of fatigue risk levels, performance levels, and/or sleep times and the provision of opportunity for rest. Biomathematical models are sets of equations that quantitatively predict a fatigue risk metric or corresponding output, based on factors such as sleep history, time of day and workload. The power of these models lies in their ability to embed scientific research and knowledge gained from empirical observations into generalized prediction tools.

However, biomathematical fatigue models have limitations; “current models do not take into account stable individual differences in fatigue susceptibility,” said the research team. “Numerous previous studies have confirmed that there are significant, stable individual differences in susceptibility to the effects of fatigue and these differences may be reflected in aspects of basic cognitive and physiologic functioning. Therefore, models that do not include these differences lack precision regarding the individual level.”

For the study, 13 men and 2 women in their twenties were selected. Participants were active duty military personnel from the Naval Aviation Preflight Indoctrination program aboard Naval Air Station Pensacola who volunteered as subjects. The study protocol was approved by the Naval Aerospace Medical Research Laboratory Institutional Review Board in compliance with all applicable Federal regulations governing the protection of human subjects.

Researchers collected data on multiple cognitive and eye-tracking performances on group and individual levels over time. A CogniFit program was used to measure cognitive performance. CogniFit is a world-class brain fitness and cognitive science company focused on improving quality of life through the assessment and brain training of cognitive skills. Measurements were completed at rested baseline and then every 3 hours across 25 hours of continual wakefulness.

Data were analyzed at the group and individual levels. On both levels, results characterized actual fatigued performance. When group results were visually inspected at the individual level, two extreme categories of individuals emerged: individuals who are highly susceptible to fatigue and individuals who are highly resistant to fatigue.

“Though performance prediction based on a group average accounts for most individuals, those who are not properly categorized under such an approach are theoretically and practically the most critical to capture,” said the research team. “For instance, those who are highly susceptible to fatigue may require additional training, tailored scheduling, or pharmacologic intervention, whereas those who are highly resistant to fatigue may be better suited to situations in which sustained vigilance is routinely required. Operationally, over-utilization of performance-compromised individuals and under-utilization of duty-ready individuals represent a threat to job effectiveness and, ultimately, operator safety. Like tailoring assignments according to personality or physical strength, knowledge of an individual’s distinct fatigue profile can greatly improve management and mitigation efforts.”

Therefore fatigue measurement must take individual differences into account. However, using current generalized standards, a substantial number of individuals may be incorrectly categorized, leading to potentially dangerous over or under utilization of manpower. Researchers showed that fatigue prediction can be improved using individualized cognitive and eye-tracking measures in addition to current biomathematically-based models.

“Using this method, next generation biomathematical fatigue models could incorporate quick, noninvasive individualized measurements such as saccadic velocity and cognitive shifting accuracy,” explained the team.

Structural brain changes of smoking in teens

Structural brain changes of smoking in teens

It’s common knowledge that smoking cigarettes is bad for your health, but young people ages 18 to 25 are still choosing to light up more than any other demographic in the United States. Researchers at UCLA (University of California, Los Angeles) now have evidence that young smokers who have smoked more cigarettes have clear differences in their brains compared to non-smokers.

The study was published on March 3rd in the journal Neuropsychopharmacology and was funded by Philip Morris USA, makers of Marlboro and Virginia Slims.

Prior research has shown brain differences between adult smokers and non-smokers, but few studies focused on the youngest human demographic of smokers whose brains are still undergoing development. In studies of adolescent animals, nicotine damaged and killed brain cells.

The UCLA researchers team mapped the brains of 42 people ages 16 to 21 using magnetic resonance imaging (MRI) and asked them about their smoking history and cravings. Eighteen of the participants were smokers. They had typically started smoking around age 15 and smoked six to seven cigarettes per day.

There were no clear differences in the brains of smokers versus non-smokers. However, among smokers, those who reported smoking more cigarettes tended to have a thinner insula, a region of the cerebral cortex involved in in shaping our consciousness and emotions. The insula also houses a high concentration of nicotine receptors and plays a critical role in generating the craving to smoke. The effects seemed confined to the right insula.

The study’s lead researcher Edythe London, from the Semel Institute for Neuroscience and Human Behavior at UCLA and the David Geffen School of Medicine in Los Angeles, said they focused on this particular part of the brain because previous studies in adults and mice showed its size and volume were affected by smoking.

The researchers also found a thinner insula in the brains of people who had more cravings and felt more dependent on cigarettes. “Because the brain is still undergoing development, smoking during this critical period may produce neurobiological changes that promote tobacco dependence later in life,” said London. Changing the structure of the insula may affect future smoking dependence and other substance abuse.

London said It is possible that changes in the brain from prolonged exposure help maintain dependence,“ and added “People who start smoking early in life seem to have more trouble quitting and have more serious health consequences than those who start later”.

Although the study illustrated a difference in brain structure of young smokers and nonsmokers, it did not prove that cigarettes changed their brains. It could be that people with differently structured insulas are more likely to take up smoking for an unknown reason. However, the results pave the way for future studies to determine the actual cause and effect.

“Ideally one would start the study in 12-year-olds who haven’t begun to smoke; follow them out after they begin to smoke; and see if in fact the smaller insula thickness was a predictor of a predilection to become a smoker,” London said. “This is practical. It just requires funding.”

On the other hand, if London’s team finds proof that smoking causes thinning of the right insula, it would provide further evidence of the detrimental health effects of picking up the habit at a young age.

CogniFit launches three new brain training tasks to improve orientation and sense of direction


CogniFit launches three new brain training tasks to improve orientation and sense of direction.

The new brain exercises help individuals train their ability to perceive and react to the size, distance and depth aspects of their daily environment and sport activities.

You can find more information here.

To try the new Star Architect task (picture above), click here.

Launch of CogniFit in Russian

Launch of CogniFit in Russian.

The CogniFit team is very happy to announce the launch of the CogniFit brain fitness website in Russian. You can now access CogniFit in Russian here.

CogniFit предлагает вам простую форму для оценки и тренировки ваших когнитивных способностей при помощи игр для мозга.

A new study by CogniFit finds that individuals can triple their cognitive gain when brain training continuously over 6 months

A new study by CogniFit finds that individuals can triple their cognitive gain when brain training continuously over 6 months.

Findings show that cognitive gains are observed when the training time is limited to a few weeks but as training goes beyond 6 months, the cognitive gain does not plateau but keep growing.

People often wonder how long they should train to gain cognitive benefits. Previous studies show significant improvements after 3 months of training. Today we do have new data that shows how after 6 months of training the cognitive gains will be not only significant but also probably noticeable by the users on their daily life.

You can read the full press release here.

CogniFit has a new profile page!

The new profile page.

You can discover today a new redesigned profile page which will offer you much more information about your cognitive profile. The new profile page offers you also a better overview of all the different features which are accessible on the CogniFit brain fitness website and make it easier for you to navigate the site.

We are continuously adding more features to the website and our mobile applications. Stay tuned!

We have just released our new updated version of the CogniFit brain fitness app for iPad

We have just released our new updated version of the CogniFit brain fitness app for iPad. You can download the application on the iTunes store by clicking here.

The new V1.2 allows you to play with a new game and several new features such as:

– Login using your Twitter account

– Sharing your activities on Facebook

– Seeing your latest cognitive progress

– General design improvements

– Simpler privacy settings

– Easier notifications settings

Young men have a strong cognitive advantage over young women

A new study by CogniFit finds that young men have a strong cognitive advantage over young women. New finding also shows that as men and women grow older, men lose their cognitive advantage faster.

Using its extensive and validated cognitive database, CogniFit found that young males aged 20 years of age or under have significantly better results in a large number of cognitive skills over females. This male advantage is observed at least until age 40 in cognitive abilities such as working memory, divided attention, eye-hand coordination, planning and response time. Males and females perform equally well on cognitive skills such as auditory memory, naming, processing speed and recognition.

The new study also reveals that over the lifespan both men and women exhibit similar patterns of cognitive decline. Young men however, start with a significant cognitive advantage over women on most cognitive functions and this advantage remains for several decades. The study shows that, eventually, men lose this advantage and their performance, when older, equals that of women. Only two abilities, divided attention and shifting still show an advantage for men by the time they reach 60 years old. For most other abilities the gap is closing or has closed. Closure starts after 40 years old.

The study is the first to mention an advantage for young males across so many variables. The fact that, as men and women grow older, men lose their cognitive advantage over women is also a new finding. This closing of the gap around the fifth or sixth decades seems to indicate a steeper, more precipitated decline for men. We know that mortality occurs earlier for men and this could be related to cardiovascular disease, which is more frequent in males. Cardiovascular sickness is known to impair cognition and men could be losing their cognitive edge, perhaps due to higher rates of cardiovascular difficulties. This is also interesting as decreasing cognitive status could predict cardiovascular risk as early as age 40.

Dr. Evelyn Shatil Head of Cognitive Science at CogniFit, explains: “The present findings make a case for brain training for the prevention of the steeper cognitive decline observed in men, and for bridging the cognitive difference observed in women, a gap which could explain the documented differences between men and women in mathematical ability.”

The study was conducted on 29,835 men and women who were divided into 4 age-groups that spanned ages from 17 to 90 and above. The cognitive decline was documented for each age-group for both men and women, together and separately, on a large and varied array of cognitive abilities. The study is comprehensive enough to also conclude with reasonable certainty that no cognitive ability is immune from cognitive decline. There was a main effect of Gender for 13 among the 19 cognitive abilities measured.

Real-time data on the CogniFit evaluation are collected online each time a user takes the evaluation. For this study, data obtained from users’ first-time administration of the CogniFit evaluation were processed and reduced, using Expert-Judge variable allocation to abilities as well as Factor Analysis Procedures, to yield 19 different cognitive ability scores. Scores on the 19 abilities were then standardized based on norms previously calculated using a well-defined general normative sample.