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Updated: Jan 8, 2026

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
Published on: July 26, 2019
Catecholamines alter the intrinsic variability of cortical population activity and perception
Thomas Pfeffer1, Arthur-Ervin Avramiea2, Guido Nolte1
1Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Brainstem modulatory systems impact brain function. Catecholamines, but not cholinergic systems, alter perception and cortical activity by changing the excitation-inhibition balance, offering insights into neuropsychiatric disorders.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Psychopharmacology
Background:
- Ascending brainstem modulatory systems regulate global brain states.
- Dysfunction in these systems is linked to neuropsychiatric disorders.
- The precise interaction between modulatory systems and cortical computation is not well understood.
Purpose of the Study:
- To investigate the effects of catecholaminergic and cholinergic systems on cortical intrinsic variability.
- To explore how these systems influence perception, cognition, and behavior.
- To understand the role of these systems in visual perceptual inference.
Main Methods:
- Placebo-controlled pharmacological intervention in human participants.
- Magnetoencephalography (MEG) to record cortical population activity.
- Psychophysical measurements of ambiguous visual perception.
Main Results:
- Low-dose catecholaminergic manipulation altered spontaneous perceptual fluctuation rates.
- Catecholaminergic, but not cholinergic, manipulation affected the temporal structure of scale-free cortical activity.
- These changes suggest an increased excitatory-to-inhibitory ratio in visual and parietal cortices.
Conclusions:
- Catecholamines regulate perceptual and cognitive variability by modulating the cortical excitation-inhibition ratio.
- This mechanism is crucial for visual perceptual inference.
- Combined measures of perceptual and cortical activity fluctuations may serve as biomarkers for neuropsychiatric disorders.
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