Abstract
Autistic individuals often show difficulties in empathy, but the underlying neural mechanisms of empathy in naturalistic contexts of pain have been less examined. This study employed a kinetic pain empathy paradigm, manipulating the congruence between pain expressions, i.e., body gestures and facial expressions based on a predictive coding framework. We collected EEG data from 51 autistic and 58 neurotypical adults during a pain observation task. Results indicated that autistic and neurotypical adults share a similar neural architecture for empathy processing and conflict resolution, involving an early stage of sensory arousal (i.e., N2 and theta) and a later stage of cognitive reappraisal (i.e., P3). However, the multivariate pattern analysis (MVPA) revealed nuanced but significant between-group differences in neural patterns. Compared to neurotypical peers, autistic adults demonstrated atypical processes in both empathy and conflict resolution. Specifically, they exhibited heightened early emotional arousal but expended greater cognitive effort to evaluate others’ pain. Autistic adults also showed increased alertness to unexpected sensory input and allocated more cognitive resources to resolve prediction errors from incongruent pairings. In contrast, neurotypical adults suppressed unnecessary cognitive efforts for meaningless errors. In summary, autistic adults may experience challenges in efficiently adjusting predictions to the external context, with their neural processing heavily depending on sensory input and less efficient in adapting cognitive resources to evaluate and respond to varied contextual demands.
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Abstract
Autistic individuals often show difficulties in empathy, but the underlying neural mechanisms of empathy in naturalistic contexts of pain have been less examined. This study employed a kinetic pain empathy paradigm, manipulating the congruence between pain expressions, i.e., body gestures and facial expressions based on a predictive coding framework. We collected EEG data from 51 autistic and 58 neurotypical adults during a pain observation task. Results indicated that autistic and neurotypical adults share a similar neural architecture for empathy processing and conflict resolution, involving an early stage of sensory arousal (i.e., N2 and theta) and a later stage of cognitive reappraisal (i.e., P3). However, the multivariate pattern analysis (MVPA) revealed nuanced but significant between-group differences in neural patterns. Compared to neurotypical peers, autistic adults demonstrated atypical processes in both empathy and conflict resolution. Specifically, they exhibited heightened early emotional arousal but expended greater cognitive effort to evaluate others’ pain. Autistic adults also showed increased alertness to unexpected sensory input and allocated more cognitive resources to resolve prediction errors from incongruent pairings. In contrast, neurotypical adults suppressed unnecessary cognitive efforts for meaningless errors. In summary, autistic adults may experience challenges in efficiently adjusting predictions to the external context, with their neural processing heavily depending on sensory input and less efficient in adapting cognitive resources to evaluate and respond to varied contextual demands.
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
Conflict of interest statement The authors declare no competing financial interests.
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