Reduced premovement positivity during the stimulus‐response interval precedes errors: Using single‐trial and regression ERPs to understand performance deficits in ADHD
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Brain mechanisms linked to incorrect response selections made under time pressure during cognitive task performance are poorly understood, particularly in adolescents with attention‐deficit hyperactivity disorder (ADHD). Using subject‐specific multimodal imaging (electroencephalogram, magnetic resonance imaging, behavior) during flanker task performance by a sample of 94 human adolescents (mean age = 15.5 years, 50% female) with varying degrees of ADHD symptomatology, we examined the degree to which amplitude features of source‐resolved event‐related potentials (ERPs) from brain‐independent component processes within a critical (but often ignored) period in the action selection process, the stimulus‐response interval, were associated with motor response errors (across trials) and error rates (across individuals). Response errors were typically preceded by two smaller peaks in both trial‐level and trial‐averaged ERP projections from posterior medial frontal cortex (pMFC): a frontocentral P3 peaking about 390 ms after stimulus onset, and a premovement positivity (PMP) peaking about 110 ms before the motor response. Separating overlapping stimulus‐locked and response‐locked ERP contributions using a “regression ERP” approach showed that trial errors and participant error rates were primarily associated with smaller PMP, and not with frontocentral P3. Moreover, smaller PMP mediated the association between larger numbers of errors and ADHD symptoms, suggesting the possible value of using PMP as an intervention target to remediate performance deficits in ADHD.
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Variation in PMP amplitude has recently been proposed to reflect clinical implications.
“Supporting this suggestion, PMP amplitude variation has recently been proposed to reflect clinical implications (Burwell et al., 2019).”
From Interplay of self-other distinction and cognitive control mechanisms in a social automatic imitation task: An ERP study (2021) · cites this paper as Burwell et al., 2019
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Burns, M. D., Bigdely-Shamlo, N., Smith, N. J., Kreutz-Delgado, K., & Makeig, S. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6609841 · Cited by 32 · see citing works
Self-citationBrook, U., & Boaz, M. (2006) · The Indian Journal of Pediatrics · doi:10.1007/bf02825823 · Cited by 30 · see citing works
Cortical surface alignment in multi-subject spatiotemporal independent EEG source imaging
Tsai, A. C.-H., Jung, T., Chien, V. S. C., Savostyanov, A. N., & Makeig, S. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.045 · Cited by 25 · see citing works
Self-citationBurwell, S. J., Malone, S. M., & Iacono, W. G. (2016) · Psychophysiology · doi:10.1111/psyp.12646 · Cited by 25 · see citing works
Self-citationAlbrecht, B., Brandeis, D., Uebel, H., Heinrich, H., Heise, A., Hasselhorn, M., Rothenberger, A., & Banaschewski, T. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.12.018 · Cited by 23 · see citing works
Burwell, S. J., Malone, S. M., Bernat, E. M., & Iacono, W. G. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.02.020 · Cited by 23 · see citing works
Self-citationSilverman, M. H., Krueger, R. F., Iacono, W. G., Malone, S. M., Hunt, R. H., & Thomas, K. M. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2014.07.016 · Cited by 20 · see citing works
Self-citationRomán, R., Brázdil, M., Jurák, P., Rektor, I., & Kukleta, M. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.07.016 · Cited by 17 · see citing works
Neural correlates of error monitoring in adolescents prospectively predict initiation of tobacco use
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Brain oscillations in switching vs. focusing audio-visual attention
Rapela, J., Gramann, K., Westerfield, M., Townsend, J., & Makeig, S. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6345941 · Cited by 15 · see citing works
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Pre-motion positivity during self-paced movements of finger and mouth
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To err or to guess: An ERP study on the source of errors
Meckler, C., Carbonnell, L., Hasbroucq, T., et al. (2013) · Psychophysiology · doi:10.1111/psyp.12020 · Cited by 7 · see citing works
Smith, N. J. (2011) · eScholarship (California Digital Library) · Cited by 5 · see citing works
Predicting occurrence of errors during a Go/No-Go task from EEG signals using Support Vector Machine
Yamane, S., Nambu, I., & Wada, Y. (2014) · doi:10.1109/embc.2014.6944733 · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Palmer J, Kreutz-Delgado K, & Makeig S (2006). An Independent Component Analysis Mixture Model with Adaptive Source Densities. Journal of Machine Learning Research.
Cited by
Sorted by citations
Rauchbauer, B., Lorenz, C., Lamm, C., & Pfabigan, D. M. (2021) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-021-00878-w · Cited by 7 · see citing works
- Authors
- Burwell, S. J., Makeig, S., Iacono, W. G., & Malone, S. M.
- Affiliations
- University of Minnesota (US)
- University of California San Diego (US)
- Corresponding author
- Burwell, Scott J.
- Venue
- Psychophysiology
- Publisher
- Wiley
- Published
- 2019-05-12
- Volume
- 56
- Issue
- 9
- Pages
- e13392-e13392
- ISSN
- 0048-5772 (ISSN-L)
- 1469-8986
- PMC
- PMC6699894
- OpenAlex
- W2945819169
- Cited by
- 16
- References
- 120
- Citations by year
- 2024: 1 · 2022: 4 · 2021: 1 · 2020: 2 · 2019: 8
- FWCI
- 2.99
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Psychophysiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (AA017314)
- National Institute on Drug Abuse (DA036216, DA037183, DA05147)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- attention deficit hyperactivity disorder, response errors, error rate, adolescents, flanker task, posterior medial frontal cortex, P3, action selection, time pressure
- MeSH terms
- Behavior Observation Techniques, Adolescent, Attention Deficit Disorder with Hyperactivity, Electroencephalography, Evoked Potentials, Female, Frontal Lobe, Humans, Magnetic Resonance Imaging, Male, Motor Activity, Psychomotor Performance, Twins, Monozygotic, Event-Related Potentials, P300
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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