Following the time course of face gender and expression processing: a task-dependent ERP study

Area of Science:

• Cognitive Neuroscience
• Social Neuroscience
• Psychophysiology

Background:

• Face perception involves processing multiple attributes like gender and emotion.
• Event-related potentials (ERPs) offer high temporal resolution for studying neural dynamics.
• Task demands can modulate neural responses to visual stimuli.

Purpose of the Study:

• To investigate the impact of task demands on face perception.
• To examine the interaction between facial gender and emotional expression.
• To identify the neural correlates of these processes using ERPs.

Main Methods:

• Participants performed gender categorization, expression categorization, and symbol discrimination tasks.
• Event-related potentials (ERPs) were recorded while participants viewed male and female faces with neutral, happy, or angry expressions.
• Analysis focused on ERP components such as P100, N170, EPN, and LPC.

Main Results:

• Expression effects on the P100 component were independent of task demands, suggesting automatic processing.
• The N170 component showed the earliest interaction between gender and expression.
• Later components (EPN, LPC) reflected task-specific modulations and effects of expression and gender.

Conclusions:

• Facial expression processing initiates automatically and early in visual processing.
• Neural responses to facial gender and expression are dynamically modulated by task relevance.
• ERPs provide insights into the temporal sequence of processing facial attributes under varying cognitive loads.