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Cognision research points to baseline EEG signature guiding to hidden responder groups in ketamine challenge studies

Researchers at Louisville, Kentucky-based Cognision (Nasdaq: not listed), working through the EEG/ERP Biomarker Qualification Consortium, report that an...

Cognision research points to baseline EEG signature guiding to hidden responder groups in ketamine challenge studies

Researchers at Louisville, Kentucky-based Cognision, working through the EEG/ERP Biomarker Qualification Consortium, report that an individual's baseline mismatch negativity amplitude — a ketamine EEG biomarker measured before drug administration — predicts not only the magnitude but the direction of ketamine's neurophysiological effect, according to a study published in Biological Psychiatry. The finding suggests that previously reported inconsistencies in ketamine brain effects across studies may reflect a statistical artifact of averaging subjects whose brains respond in opposite directions.

The study, published in Biological Psychiatry, found that mismatch negativity (MMN) amplitude measured before ketamine administration predicted whether the drug increased or decreased MMN following treatment. According to the authors, the effect represents a "disordinal interaction" in which participants with low baseline MMN values showed increases after ketamine, while those with high baseline values showed decreases.

The finding suggests that many previous ketamine studies may have obscured biologically meaningful effects by averaging together participants whose responses moved in opposite directions. Under conventional group-level analyses, these opposing responses can cancel one another out, producing weak or inconsistent average effects.

The effect was first identified in a randomized, placebo-controlled crossover study involving 24 healthy volunteers (NCT04928703), in which participants received sub-anesthetic ketamine and placebo on separate visits. EEG recordings were collected before and after dosing, and the primary analysis found that baseline MMN amplitude significantly influenced the direction of ketamine's effect.

To determine whether the finding generalized beyond the initial cohort, the researchers subsequently replicated the analysis across three additional datasets, including studies sponsored by pharmaceutical companies participating in the Consortium. The combined dataset included 105 participants across four studies, including 70 individuals exposed to ketamine and a separate test-retest cohort used to evaluate regression-to-the-mean effects.

MMN is an EEG-derived event-related potential generated when the brain detects an unexpected auditory stimulus. Because it depends on NMDA receptor signaling, it has long been studied as a biomarker of glutamatergic function in disorders such as schizophrenia. Ketamine, an NMDA receptor antagonist, acts on the same pathway and has been widely used in experimental models of psychosis and depression.

The authors propose that baseline differences in cortical excitation-inhibition balance may explain the divergent responses. Individuals with lower baseline MMN amplitudes may respond differently to NMDA receptor blockade than those with stronger baseline signaling, resulting in opposite neurophysiological outcomes despite receiving the same dose.

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"We discussed this hypothesis with many pharmaceutical companies, and interestingly, most said they had seen similar phenomena but never thought it could be real", said Igor Korolev, Director of Biomarkers and Digital Health at Cognision. "Now these companies should go back and reanalyze their data to look for disordinal effects that could change the game".

The findings could have implications for the development of biomarkers in psychiatry and neurology, where patient stratification has lagged behind fields such as oncology. If validated in patient populations, baseline MMN measurements could potentially help identify individuals most likely to respond to ketamine-based therapies or other NMDA-targeting drugs.

"It is well known that not all patients with depression respond to ketamine therapy", said Marco Cecchi, Chief Science Officer at Cognision. "Our results may point to an explanatory mechanism and a method to identify patients who would likely respond".

The study was conducted in healthy volunteers and did not evaluate clinical outcomes such as antidepressant response. As a result, further research will be required to determine whether baseline MMN predicts therapeutic benefit in treatment-resistant depression, schizophrenia, or other CNS disorders.

Nevertheless, the work raises broader questions about how CNS clinical trial data are analyzed. If meaningful biological effects can be masked when subjects with opposing response profiles are averaged together, similar baseline-dependent effects may exist in other neuropsychiatric drug development programs. The authors suggest that reanalysis of historical datasets using stratified approaches could reveal treatment effects that have previously gone undetected.


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