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Updated: Jun 24, 2025

Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network
Published on: December 28, 2010
Dynamic modulation of the processing of unpredicted technical errors by the posterior cingulate and the default mode
Zhiyan Wang1, Markus Becker1, Gregor Kondla2
1Faculty of Human Sciences, University of Regensburg, Universitätsstraße 31, 93053, Regensburg, Germany.
Technostress from unexpected IT errors is common. This study found problem errors improved performance on hard tasks, while feedback errors hindered it, linked to brain activity in the posterior cingulate.
Area of Science:
- Cognitive Neuroscience
- Human-Computer Interaction
- Psychology
Background:
- Information technologies (IT) are ubiquitous, but unexpected system errors can cause technostress.
- The behavioral and neural responses to dynamic IT errors are not well understood.
Purpose of the Study:
- To investigate how individuals behaviorally and neurally respond to unexpected system runtime errors during IT interaction.
- To elucidate the brain mechanisms underlying responses to different types of IT errors.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was used to study 15 young adults.
- Participants solved arithmetic problems of varying difficulty (easy, medium, hard) while experiencing unexpected problem errors (defective problem display) and feedback errors (erroneous feedback).
Main Results:
- Problem errors enhanced problem-solving performance on difficult tasks initially.
- Feedback errors negatively impacted performance.
- Behavioral changes correlated with brain activation in the posterior cingulate and default mode network (including posterior cingulate cortex, mPFC, retrosplenial cortex, parahippocampal gyrus).
Conclusions:
- The posterior cingulate plays a regulatory role in coping with unexpected IT errors.
- The default mode network is involved in dynamic environmental changes and error processing.
- Understanding these neural mechanisms can inform the design of more resilient IT systems.
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