An electrophysiological biomarker, based on a decade of research and development, KATLA™ represents a new generation of computerised diagnostic aids for use in a clinical setting. Advanced computing methodologies are injecting new life into traditional EEG recording techniques, marrying a simple and familiar device with highly sophisticated software to open a new chapter in biomarker-based diagnostics.


The need for an objective and independent test for ADHD is well recognised, and has been elevated by the discovery of underlying differences in the central nervous system.

Building on more than ten years of intensive research and investment, and its advanced dementia diagnostic aid SIGLA, MentisCura has developed a new tool to support clinicians focusing on the diagnosis and treatment of children with ADHD (6-14yrs).

KATLA™ helps the clinician – and to a certain extent the parent/caregiver – to understand physical features of ADHD as recognised in an EEG recording. In doing so, it offers an objective assessment that enhances the accuracy of ADHD diagnosis in children (6-14 yrs).

How does it work?

KATLA™ uses sophisticated readings of brain activity to provide an independent and objective test – an EEG biomarker for ADHD. Non-invasive and easy to use, it employs advanced statistical pattern recognition software to compare neurophysiological parameters against a comprehensive database of subjects. Within the database, these parameters clearly differentiate children with a clinical diagnosis of ADHD from those of the same age with no such diagnosis, with an accuracy of 84%.

The database behind KATLA’s sophisticated software draws on 315 clinically diagnosed ADHD subjects aged 6-14 years, and contrasts these clinical subjects with 315 healthy control subjects in the same age range. KATLA’s functionality centres on the electrophysiological characteristics of the subject, as recorded for 5 minutes while the subject is at rest with eyes closed.

An easy-to-use biomarker such as KATLA is a welcome advance in terms of supporting the diagnosis of ADHD and possibly other mental and developmental disorders. Improved accuracy and quality of the diagnosis increases the likelihood of a correct diagnosis and thereby correct treatment for the patient. - Olafur Gudmundsson, MD