Firefly Neuroscience Researchers Uncover Powerful New Way of Objectively Measuring SCD, MCI, and Dementia in Alzheimer’s Patients
– Research supports combined use of EEG/ERP and vMRI for accurate differential diagnosis of SCD, MCI and dementia –
– Also highlights that low-cost and off-based EEG/ERP alone also delivered reasonably accurate predictions of cognitive impairment typology –
– Underscores the value of recent Evoke acquisition that builds upon Firefly’s FDA-cleared BNA™ AI platform and unique integrated normative reference group –
– It’s well accepted that earlier dementia course detection can improve outcomes and open up additional treatment opportunities –
KENMORE, N.Y., June 20, 2025 (GLOBE NEWSWIRE) — Firefly Neuroscience, Inc. (“Firefly” or the “Company”) (NASDAQ: AIFF), an Artificial Intelligence (“AI”) company developing innovative solutions that improve brain health outcomes for patients with neurological and mental disorders, today highlighted a leap forward in Alzheimer’s research to distinguish between subjective cognitive decline (“SCD”), mild cognitive impairment (“MCI”), and dementia in a scalable, accessible way to promote earlier detection and intervention.
In the study, while EEG/ERP and volumetric magnetic resonance imaging (“vMRI”) each helped alone, the best results came when both were combined. Just using EEG measures, three EEG measures stood out: (1) reaction time; (2) commission errors; and (3), P300b amplitude. Using these EEG assessments, researchers could categorize subjects with ~80% accuracy (AUC = 0.79). With respect to vMRI assessment, of all the brain areas, only the left temporal lobe size was a powerful MRI predictor, where smaller size tended to correlate to cognitive issues. Combing EEG measures with the size of the left temporal lobe from the MRI boosted accuracy to ~87% (AUC = 0.87). This study demonstrates the potential of a primarily physiological diagnostic model for differentiating SCD, MCI, and dementia using EEG/ERP , especially when combined with volumetric brain MRI. In addition, the accessibility of EEG/ERP and vMRI means that these tools can be used as adjuncts to clinical assessments to help increase the diagnostic certainty of SCD, MCI, and dementia.
Gil Issachar, Chief Technology Officer of Firefly, commented, “Immediately after the completion of Firefly’s acquisition of Evoke Neuroscience, the two companies’ respective research teams joined forces to conduct a comprehensive review of brain wave research to-date, with the aim of effectively and efficiently leveraging what is now the largest known proprietary database of >180,000 standardized, EEG/ERP assessment records. Earlier this year, we announced the discovery of a breakthrough cognitive brain age biomarker using our FDA-cleared BNA™ technology platform. We are now working to link that with this important study, thereby potentially paving the way for a proactive, scalable and objective approach to both early screening for, as well as staging of, Alzheimer’s disease.”
Greg Lipschitz, CEO of Firefly, said, “It is important to note that this was not a lab study. It utilized patients in memory clinics (161 for EEG, 111 for MRI), so it was real-world data. The research supports the use of office based electrophysiology and imaging to reliably spot who was starting to decline, and who had dementia — with nearly the same accuracy as more invasive and costly tests. The bottom line is that combining our BNA™ technology with vMRI imaging is faster, easier, and can be done in more places.”
About Firefly
Firefly (NASDAQ: AIFF) is an Artificial Intelligence (“AI”) company developing innovative solutions that improve brain health outcomes for patients with neurological and mental disorders. Firefly’s FDA-510(k) cleared Brain Network Analytics (BNA™) technology revolutionizes diagnostic and treatment monitoring methods for conditions such as depression, dementia, anxiety disorders, concussions, and ADHD. Over the past 15 years, Firefly has built a comprehensive database of brain wave tests, securing patent protection, and achieving FDA clearance. The Company is now launching BNA™ commercially, targeting pharmaceutical companies engaged in drug research and clinical trials, as well as medical practitioners for clinical use.
Brain Network Analytics was developed using artificial intelligence and machine learning on Firefly’s extensive proprietary database of standardized, high-definition longitudinal electroencephalograms (EEGs) of over 17,000 patients representing twelve disorders, as well as clinically normal patients. BNA™, in conjunction with an FDA-cleared EEG/ERP system, can provide clinicians with comprehensive insights into brain function. These insights can enhance a clinician’s ability to accurately diagnose mental and cognitive disorders and to evaluate what therapy and/or drug is best suited to optimize a patient’s outcome.
Please visit https://fireflyneuro.com/ for more information.
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Investor & Media Contact
Stephen Kilmer
(646) 274-3580
stephen.kilmer@fireflyneuro.com
