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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 6173-6178 |
| Number of pages | 6 |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Volume | 105 |
| Issue number | 16 |
| DOIs | |
| State | Published - Apr 22 2008 |
| Externally published | Yes |
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Keywords
- Deconvolution
- Default mode
- Frontal lobe
- Performance monitoring
ASJC Scopus subject areas
- Genetics
- General
Cite this
Prediction of human errors by maladaptive changes in event-related brain networks. / Eichele, Tom; Debener, Stefan; Calhoun, Vince Daniel; Specht, Karsten; Engel, Andreas K.; Hugdahl, Kenneth; Von Cramon, D. Yves; Ullsperger, Markus.
In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 105, No. 16, 22.04.2008, p. 6173-6178.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Prediction of human errors by maladaptive changes in event-related brain networks
AU - Eichele, Tom
AU - Debener, Stefan
AU - Calhoun, Vince Daniel
AU - Specht, Karsten
AU - Engel, Andreas K.
AU - Hugdahl, Kenneth
AU - Von Cramon, D. Yves
AU - Ullsperger, Markus
PY - 2008/4/22
Y1 - 2008/4/22
N2 - 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.
AB - 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.
KW - Deconvolution
KW - Default mode
KW - Frontal lobe
KW - Performance monitoring
UR - http://www.scopus.com/inward/record.url?scp=43149121112&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=43149121112&partnerID=8YFLogxK
U2 - 10.1073/pnas.0708965105
DO - 10.1073/pnas.0708965105
M3 - Article
C2 - 18427123
AN - SCOPUS:43149121112
VL - 105
SP - 6173
EP - 6178
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
SN - 0027-8424
IS - 16
ER -