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Published on: April 20, 2022
The truth-telling motor cortex: response competition in M1 discloses deceptive behaviour
Aviad A Hadar1, Stergios Makris, Kielan Yarrow
1Department of Psychology, City University London, UK. Aviad.hadar@city.ac.uk
Researchers used transcranial magnetic stimulation to detect lies by measuring motor-evoked potentials. Deception showed a distinct pattern of neural activity in the primary motor cortex, distinguishing truthful from deceptive responses.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Motor Control
Background:
- Neural circuits involved in response conflict are active during deception.
- Detecting deception is a significant challenge in various fields, including law and security.
Purpose of the Study:
- To investigate if competing motor responses in the primary motor cortex can be used to detect lies.
- To explore the neurobiological underpinnings of deception and response conflict.
Main Methods:
- Utilized transcranial magnetic stimulation (TMS) to measure motor-evoked potentials (MEPs).
- Participants responded truthfully or deceitfully regarding facial familiarity using either their little finger or thumb.
- MEPs from muscles associated with both digits were recorded to track motor plan development.
Main Results:
- When preparing to deceive, the MEP of the non-responding digit (truthful plan) exceeded the MEP of the responding digit (lie).
- A mirror-reversed pattern was observed when participants told the truth.
- This response conflict effect interacted with stimulation timing during a speeded reaction period.
- Digit-specific cortical representations were activated even with verbal-only responses during deception.
Conclusions:
- Findings support neurobiological models integrating cognitive decision-making and motor programming.
- Suggests a novel index for discriminating between honest and intentionally false facial recognition based on motor-evoked potentials.
Related Concept Videos
Understanding Deception
Nonconscious Mimicry
Motivational Bias
Theory of Attribution I: Correspondent Inference Theory
Facial Feedback Hypothesis
Theory of Attribution II: Kelley's Covariation Theory

