NeuronUP anticipates the risk of cognitive impairment by one year

The prestigious British Psychological Society’s Journal of Neuropsychology has published a study showing that NeuronUP anticipates the risk of cognitive impairment by one year.

NeuronUP, as demonstrated by the study ‘One-year prediction of cognitive decline following cognitive-stimulation from real-world data’ published in the latest issue of the british Journal of Neuropsychology, anticipates the risk of cognitive decline by one year.

This system is based on multiple tests that patients perform, involving various areas of the brain (cognitive training materials). According to its results, it warns about the possibility of developing any problems in the future or not. Anticipating degeneration allows health professionals to intervene to delay or alleviate the progression in disorders such as Parkinson’s or Alzheimer’s.

Delaying or alleviating the progression in disorders such as Parkinson’s or Alzheimer’s

Regarding its applications, professor Ikerbasque at the Biocruces-Bizkaia Institute and head of the R&D unit at NeuronUP, Jesús M. Cortes, highlighted that “anticipating these types of situations allows for early action to halt the advancement of potential disorders; designing prevention and personalized treatment programs; monitoring progress over time to evaluate the effectiveness of treatments; identifying modifiable risk factors; developing interventions to reduce risk and helping professionals make informed decisions”.

This study, questioning the usefulness of neuropsychological training materials from the NeuronUP platform, involved a longitudinal modeling of the results of 124,610 tests monitoring 29 cognitive domains. The research included the participation of 7,902 individuals. The risk of cognitive decline was evaluated based on performance (using an indicator called NeuronUP Score) demonstrated by participants in various platform tests. This system, as explained by Cortes, “consists of a score from 0 to 100 that measures patient progress. It is unique to each participant and is calculated using a formula that combines correct answers, time taken to complete the challenge, and its level of difficulty.”

Out of the 203 cognitive training materials studied, it was observed that some work better than others. As an example, Cortes indicated that “materials for training processing speed, attention, and executive function had a strong predictive power or, for specific pathologies, some like selective attention predict cognitive decline very well in Parkinson’s but not in Alzheimer’s”.

This research has been developed under a ‘Real World Data’ (RWD) system

Finally, it is worth noting that this research has been developed under a ‘Real World Data’ (RWD) system that blends data from health records, online platforms, insurance, etc. “This methodology provides a more precise and generalizable view of how a treatment or intervention behaves in the real population, allowing for a better characterization of populations and a greater understanding of the interactions between treatments and comorbidities,” Cortes stated.

You can access the full study here.

The media echoed the news

Prestigious media outlets such as Neurologia.com, Psiquiatria.com, Farmaco Salud, Europa Press, or Salud a Diario are echoing the publication of this study in the prestigious British journal.