Category Archives: Digital Therapeutics Research

CogniFit has long been a trusted brain-training tool, helping hundreds of thousands of users strengthen the neural pathways that allow us to use some of our most important cognitive abilities; abilities such as memory, attention, focus, and more.

As CogniFit continues to grow, we are always exploring new ways to leverage our powerful technologies to help people—at home, in the classroom, in the clinician’s office, and beyond.

All of CogniFit’s products—both our selection of engaging brain games and training tasks, as well as our selection of cognitive assessments—have been developed through a collaboration between clinicians, psychologists, cognitive scientists, medical researchers, educators, and software engineers. And it is this foundation in scientific best practices which has allowed us to create fantastic cognitive tools and build valuable partnerships with research teams around the world.

 

This page is for information only. We do not sell any products that treat conditions. CogniFit’s products to treat conditions are currently in validation process. If you are interested please visit CogniFit Research Platform

The Cognitive Research Platform: Introducing CogniFit for Researchers

CogniFit has been a trusted brain-training tool for over 20 years, helping millions of users strengthen the neural pathways that allow us to use some of our most important cognitive abilities; abilities such as memory, attention, focus, and more.

As CogniFit continues to grow, we are always exploring new ways to leverage our powerful technologies to help people—at home, in the classroom, in the clinician’s office, and beyond.

All of CogniFit’s products—both our selection of engaging brain games and training tasks, as well as our selection of cognitive assessments—have been developed through a collaboration between clinicians, psychologists, cognitive scientists, medical researchers, educators, and software engineers. And it is this foundation in scientific best practices which has allowed us to develop one of our most exciting new offerings: the Cognitive Research Platform.

A powerful Cognitive Research Platform for Scientific Investigation

Based on the same core cognitive training and assessment technology already being used and trusted by clinicians, teachers, and families across the globe, the new Cognitive Research Platform has been developed with the specific needs of research teams undertaking clinical, scientific, experimental studies in the areas of cognitive health and well-being in mind.

The platform offers all of the features that have made our other professional platforms, such as the Platform for Health Professionals and the Platform for Educators, so popular; features such as the ability to quickly and easily manage and track multiple users, create groups to organize interventions, and the ability to communicate with users—redesigned with the specific needs of researchers in mind. In addition to these features common across all of our professional tools, the Cognitive Research Platform also includes unique features designed specifically for researchers, such as the ability to assign participants to experimental and control groups with multiple cognitive training intervention options—participants can be assigned personalized training with algorithmically-adjusted difficulty, non-personalized “placebo” training set to the lowest difficulty each session, providing researchers the ability to study the effects of personalized cognitive training versus generic brain games—as well as easy to use methods for collecting and exporting data for analysis including indexed data related to each variable in the study and reference data for calculating fundamental information such as the Z-score.

Adding Participants to Groups in the Cognitive Research Platform.

Another unique aspect of the research platform is the ability for researchers to design investigations focused on specific brain conditions and pathologies (such as Depression, Parkinson’s, and ADHD) in addition to the general cognitive abilities available in the other professional and consumer platforms (such as Memory, Coordination, and Mental Arithmetic).

The Research Platform Opens Exciting New Doors for CogniFit

Though the Cognitive Research Platform is a relatively new venture for CogniFit, we are already seeing interest and, importantly, adoption of the platform in the research community.

Several studies are already underway, using the Cognitive Research Platform to investigate critical cognitive health issues such as how cognitive decline associated with aging can affect the workplace and how cognitive training can improve the productivity of age-diverse teams and how cognitive training can alleviate some of the most common secondary symptoms of Epilepsy such as changes in mood, difficulty sleeping, and cognitive and learning difficulties.

As we continue to build valuable partnerships with research teams across the globe, we are greatly increasing our ability to explore the role that cognitive training—not only for general cognitive abilities, but importantly, for specific brain conditions and pathologies—has in improving our cognitive health and well-being.

Developing this deeper understanding of the real-world impacts of specific cognitive abilities and brain conditions, and the effects that cognitive training can have, will allow us to continue to develop our core technologies, improve the efficacy of our current training and assessment tools, and create the next generation of CogniFit products for new segments of the cognitive health market.

Conclusion

We are fortunate to live in a world where the average person lives longer than ever before, where many of the physical ailments affecting humanity have effective remedies, and where nutritional food is readily available to so many of us.

And though we, as humans, still have plenty of work to do in these areas of physical health, the progress we have already made means that we are now able to focus more attention on the mental-health needs of a global population which is dealing more than ever with the effects of cognitive decline due to aging demographics, increased stress- and attention-related cognitive issues due to an always-on, always-connected culture in both our professional and personal lives, and more.

Our goal at CogniFit is to be a leader in this paradigm shift towards providing support and solutions for the increasingly important mental and cognitive health needs of the global community, and we believe that the Cognitive Research Platform is a key piece of this ongoing journey.

The DINNOS Project: How researchers are using CogniFit to study the effects of age diversity in the workplace

As workers move throughout their career, they learn new skills, obtain valuable experience, and become knowledgeable in the important details of their role and their industry. However, this experience doesn’t come without a trade-off. As these veteran employees grow older, they can lose some of the cognitive flexibility and sharpness they had as younger workers just entering the workforce.

And, though it may seem like building teams with members of the same or similar ages would create more fluent and effective communication and less emotional and cultural conflicts, when businesses can successfully take advantage of the unique value team members from across the age spectrum are able to provide, there is potential for the development of new ideas and innovations as these varied experiences and backgrounds mix.

But how can businesses ensure these diverse teams members come together to form a cohesive unit and that employees are able to bring the most value in their roles throughout their career.

Understanding How Businesses Can Create Successful Age-Diverse Teams

The research team behind The DINNOS Project has taken up this exact question in an attempt to address the challenges businesses face when building groups with ‘age heterogeneous team composition’.

This project, which will be evaluating hundreds of small- and medium-sized businesses across the United Kingdom and Germany will focus on two distinct factors which affect the creation of successful age-diverse teams: How managers build and lead teams, and how the cognitive state of older employees affects the success of the teams.

For the first aspect, the researchers will be looking at the effects of leadership training for managers, and for the second, they will be studying the effect of cognitive training for older employees.

Using CogniFit’s Cognitive Training to Improve Workplace Outcomes?

For any employee to be successful, regardless of age, they need to have the appropriate Cognitive Ability—defined in this study as “a general mental capability involving reasoning, problem-solving, planning, abstract thinking, complex idea comprehension, and learning from experience”—required by the role.

The DINNOS Project has partnered with CogniFit to measure and train the cognitive abilities of older employees in areas such as Memory Processes (e.g., Short-term Memory), Executive Functions (e.g., Inhibition and Attention), Processing Speed (e.g., Response Time), and Logical Reasoning (e.g., Planning).

By understanding how the cognitive state of these employees affects the performance of age-diverse teams—and importantly, the role that cognitive training plays in mitigating the negative effects of the aging brain—the researchers hope to be able to develop systems to help businesses create thriving, successful age-diverse teams.

Conclusion

We look forward to posting a follow-up with some of the important insights the research team learns once the results have been collected and analyzed.

For more information on the DINNOS Project, visit their website at https://dinnos-h2020.com/.

CogniFit Collaborates With Research Universities on Epilepsy Study

Epilepsy is a unique neurological condition characterized by unpredictable seizures and other health problems. But even though it is the 4th most common neurological condition and affects more than 65 million people worldwide, there are often misconceptions and lack of general understanding of what Epilepsy is.

While many people have heard of the disorder, many have an incorrect understanding of what Epilepsy is, assuming the someone with this disorder will instantly go into seizure at the sight of flashing lights.

The truth of the matter is much more complex, and the effects of Epilepsy, including seizures, are much more nuanced. As a neurological condition affecting the brain, Epilepsy can lead to changes in mood, difficulty sleeping, and even cognitive and learning difficulties, depending on the areas of the brain affected.

These less visible effects of Epilepsy drew the attention of researchers from Impulso Cognitivo and the University of Antonio de Nebrija in Spain, who have developed a study using CogniFit’s Platform for Researchers to investigate the influence that cognitive training for executive functions has on the cognitive abilities of adults with Epilepsy, and whether it can potentially mitigate these secondary cognitive effects.

The “EpiCog” Project from Impulso Cognitivo and the University of Antonio de Nebrija

CogniFit Epilepsy Study

Research scientists, lead by Jon Andoni Duñabeitia Landaburu and Maria Calvo recently began their investigation, working with 80 patients with Epilepsy between the ages of 18 and 60 years old, and will continue to work with the participants over a period of months.

At the beginning of the study, each participant was given the CogniFit General Assessment Battery to determine a baseline score for several cognitive abilities. After this initial measurement, participants were randomly assigned to groups. The control group were tasked with playing CogniFit games without the active training algorithm to adjust difficulty and present participants with a challenging cognitive exercise. The second group were tasked with completing CogniFit games using the unique training algorithm, providing a more challenging cognitive training regimen.

The Epilepsy Training contains 19 Stimulation Games (to strengthen cognitive abilities), 8 Assessment Tasks (to measure progress) and focuses on measuring 4 Cognitive Skills: Inhibition, Monitoring, Working memory and Cognitive flexibility.

When to Expect Analysis and Results

This unique research project will take place over the next months, after which point the research team will compile and analyze the collected data, with results expected to be ready in the summer of 2021.

CogniFit Estimation Score as a Predictor of Group Automotive Accident Risk

Our world has been greatly affected by the presence of the automobile; from the way we design our metropolitan and national infrastructures, to the way we relax and vacation, to the way we run our errands and get to work. 

The automobile has made our lives easier in many ways and has given millions of people around the world freedom of movement that would have seemed impossible only a few hundred years ago. 

As the automobile became more and more intertwined into our societies, so to have the inherent dangers of operating these machines. Signs, signals, and safety features were added to the roads, and seat belts, air bags, and—more recently—Advanced Driver Assistance Systems such as automatic breaking and lane departure warnings were added to vehicles to help prevent these risks. But even with the addition of these safety systems, there is still an inherent risk any time a driver gets behind the wheel.

Researchers used data gathered through the CogniFit platform to investigate the cognitive and psychomotor risk factors associated with automobile accidents and has developed a unique estimation index that can help predict the risk of being involved in an automobile accident.

CogniFit as an Investigative Tool for Predicting Vehicle Accident Risk

CogniFit’s tasks for measuring estimation capacity (included in the driving test) has been used by the Center for Cognitive Science of the Nebrija University of Madrid in collaboration with The Arctic University of Norway to investigate cognitive and psychomotor risk factors associated with traffic accidents, as well as to develop a unique estimation index that can help predict the risk of suffering a traffic accident.

The main objective of this research was to show if older drivers have more accidents and if these tend to be more serious. To do this, they have carried out a comparative study where they have looked to see if there really is a relationship between the score obtained in the estimation tasks of the CogniFit driving test and the number of total accidents.

Subsequently, it has been reviewed whether, in addition, the CogniFit scores provide an additional benefit for the prediction of any type of car accident.

How was the CogniFit Estimation score developed?

The researchers analyzed data collected through the CogniFit platform on the cognitive skills related to estimation ability of 20,231 participants (10,627 female, 9,606 males) across 123 countries. The data, measuring participants’ ability to estimate the duration, speed, and distance of stimuli, as well as their understanding of how the speed and distance of an object affected its movement, were compiled into a composite index measuring each participant’s estimation abilities. 

Subsequently, the mean percentages of precision for both men and women on the CogniFit tasks were compared to raw data from male and female drivers involved in 1) fatal crashes, 2) injury crashes, and 3) crashes with material damage.

Finally, an analysis was carried out where the data of the different types of accidents were related by type and sex of the total, and the age of the drivers, their gender, and their CogniFit score as predictors.

The results showed a predictive power of age, and gender, showing that older drivers were involved in fewer fatal accidents than young people and that women had fewer fatal accidents than men. The CogniFit score also showed a direct relationship between a person’s estimation skills and the number of fatal accidents.

How can the CogniFit Estimation score help?

Based on the findings of the analysis of data and the robust relationship between CogniFit’s Estimation score and various types of traffic accidents, we can see that the CogniFit Estimation score can predict the group probability of being involved in a fatal car accident (accounting for 98.3% of the variance), of being involved in an accident with injuries (explaining 96.2% of the variance), and of being involved in accidents with material damage (explaining 95.8% of the variance).

Understanding how age, gender, and the cognitive skills related website to estimation affect the risk index of drivers serves not only to know which drivers are most at risk of suffering fatal vehicle accidents, but can also serve as the basis for future research into whether training these core cognitive skills can reduce the risk of accidents in the future. 

CogniFit’s Driving Cognitive Assessment

How can CogniFit help you understand your driving risk?

CogniFit offers a unique cognitive assessment for drivers, the Online Cognitive Assessment Battery for Driving (DAB), which uses digital neuropsychological tasks to assess a user’s cognitive capacity and attitude to drive efficiently and safely.

The results provided by this neuropsychological assessment include relevant information that can help predict the quality of vehicle handling and identify the risk index or accident tendency of a driver.

This digital driving test is performed online and lasts approximately 30-40 minutes. At the end of the evaluation, users receive a complete report of results with useful and comprehensible information about driving ability, performance, and cognitive skills. 

Whether you or a loved one have been driving for decades or are preparing to take the driver’s license exam for the first time, the Driving Cognitive Assessment from CogniFit can help you feel confident you understand your driving risk.