Skip to content

Bettina Habelt

3 papers in the library · 7 citations · publishing 2024-2026

Papers

Prefrontal electrophysiological biomarkers and mechanism-based drug effects in a rat model of alcohol addiction.

Translational psychiatry December 5, 2024 Bettina Habelt, Dzmitry Afanasenkau, Cindy Schwarz et al. 6 citations

Alcohol use disorder (AUD) impairs prefrontal control mechanisms, leading to reduced inhibitory control and increased relapse risk. Using a biocompatible neuroprosthesis in a rat model of alcohol addiction, researchers measured neural oscillations and event-related potentials during abstinence. Alcohol-dependent rats showed reduced amplitudes of P1N1 and N1P2 components and attenuated event-related oscillatory activity, along with a dominance in higher beta frequencies indicating hyperarousal prone to relapse. Treatment with psilocybin or LY379268 restored these electrophysiological impairments, with psilocybin particularly counteracting the hyperarousal state. These prefrontal markers may serve as indicators of relapse vulnerability and treatment response, especially for psychedelic drugs.

The potential of event-related beta oscillations as biomarkers for neuromodulatory treatment efficacy

Frontiers in Psychology February 11, 2026 Bettina Habelt 1 citation

Event-related beta oscillations, which are brain rhythms time-locked to tasks, are an underused but promising biomarker for evaluating treatments like brain stimulation and neurofeedback. Evidence from a rat model of alcohol addiction shows that both psilocybin and targeted electrical stimulation shift dominant beta activity from higher to lower sub-bands during an auditory oddball task, suggesting sub-band-specific analyses may indicate treatment efficacy. Despite this potential, systematic studies of beta sub-bands for diagnosing and treating neurological and psychiatric disorders remain scarce. The author proposes that event-related beta oscillations could help assess neuromodulatory interventions in both preclinical and clinical settings.

Prefrontal Electrophysiological Biomarkers and Mechanism-Based Drug Effects in a Rat Model of Alcohol Addiction

Research Square February 22, 2024 Bettina Habelt, Dzmitry Afanasenkau, Cindy Schwarz et al.

Current treatments for alcohol use disorder (AUD) are often ineffective due to large variability in individual responses and high relapse rates. A precision medicine approach using biomarkers of prefrontal control mechanisms—which are severely disrupted in AUD, reducing inhibitory control and promoting compulsive behavior and relapse—may improve outcomes. In a rat model of alcohol addiction and relapse, a biocompatible neuroprosthesis measured prefrontal neural function during abstinence. Alcohol-dependent rats showed reduced amplitudes of P1N1 and N1P2 event-related potential components and attenuated event-related oscillatory activity. Treatment with psilocybin (a 5-HT2AR agonist) or LY379268 (an mGluR2 agonist) restored these impairments. Psilocybin also counteracted a dominance in higher beta frequencies indicative of hyperarousal prone to relapse. These findings identify prefrontal markers of relapse and treatment response, particularly for psychedelic drugs.