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Catecholaminergic Modulation of Metacontrol Is Reflected by Changes in Aperiodic EEG Activity

Yang Gao, Veit Roessner, Ann‐Kathrin Stock, Moritz Mückschel, Lorenza S. Colzato, Bernhard Hommel, Christian Beste

2024The International Journal of Neuropsychopharmacology18 citationsDOIOpen Access PDF

Abstract

BACKGROUND: "Metacontrol" describes the ability to maintain an optimal balance between cognitive control styles that are either more persistent or more flexible. Recent studies have shown a link between metacontrol and aperiodic EEG patterns. The present study aimed to gain more insight into the neurobiological underpinnings of metacontrol by using methylphenidate (MPH), a compound known to increase postsynaptic catecholamine levels and modulate cortical noise. METHODS: In a double-blind, randomized, placebo-controlled study design, we investigated the effect of MPH (0.5 mg/kg) on aperiodic EEG activity during a flanker task in a sample of n = 25 neurotypical adults. To quantify cortical noise, we employed the fitting oscillations and one over f algorithm. RESULTS: Compared with placebo, MPH increased the aperiodic exponent, suggesting that it reduces cortical noise in 2 ways. First, it did so in a state-like fashion, as the main effect of the drug was visible and significant in both pre-trial and within-trial periods. Second, the electrode-specific analyses showed that the drug also affects specific processes by dampening the downregulation of noise in conditions requiring more control. CONCLUSIONS: Our findings suggest that the aperiodic exponent provides a neural marker of metacontrol states and changes therein. Further, we propose that the effectiveness of medications targeting catecholaminergic signaling can be evaluated by studying changes of cortical noise, fostering the idea of using the quantification of cortical noise as an indicator in pharmacological treatment.

Topics & Concepts

Aperiodic graphElectroencephalographyPsychologyNoise (video)MethylphenidateNeuroscienceNeurotypicalCatecholaminergicCrossover studyPlaceboModulation (music)AudiologyMedicineDevelopmental psychologyArtificial intelligenceComputer scienceCatecholaminePhysicsMathematicsAttention deficit hyperactivity disorderAutismPsychiatryAutism spectrum disorderImage (mathematics)AcousticsPathologyAlternative medicineCombinatoricsNeural dynamics and brain functionNeuroscience and Music PerceptionMemory and Neural Mechanisms
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