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Cited by 463

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Prediction of human errors by maladaptive changes in event-related brain networks

Open access
Eichele, Tom, Debener, Stefan, Calhoun, Vince D., Specht, Karsten, Engel, Andreas K., Hugdahl, Kenneth, von Cramon, D. Yves, Ullsperger, Markus·2008·Proceedings of the National Academy of Sciences
DOI 10.1073/pnas.0708965105
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Abstract

Humans engaged in monotonous tasks are susceptible to occasional errors that may lead to serious consequences, but little is known about brain activity patterns preceding errors. Using functional MRI and applying independent component analysis followed by deconvolution of hemodynamic responses, we studied error preceding brain activity on a trial-by-trial basis. We found a set of brain regions in which the temporal evolution of activation predicted performance errors. These maladaptive brain activity changes started to evolve ≈30 sec before the error. In particular, a coincident decrease of deactivation in default mode regions of the brain, together with a decline of activation in regions associated with maintaining task effort, raised the probability of future errors. Our findings provide insights into the brain network dynamics preceding human performance errors and suggest that monitoring of the identified precursor states may help in avoiding human errors in critical real-world situations.

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Research works printed but not linked: 32

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Metadata

Authors
Eichele, T., Debener, S., Calhoun, V. D., Specht, K., Engel, A. K., Hugdahl, K., von Cramon, D. Y., & Ullsperger, M.
Venue
Proceedings of the National Academy of Sciences
Publisher
Proceedings of the National Academy of Sciences
Published
2008-04-22
Volume
105
Issue
16
Pages
6173-6178
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
DOI
10.1073/pnas.0708965105
OpenAlex
W1991491984
Cited by
463
References
20
FWCI
18.02
Type
journal article
Language
en
Open access
green

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