The ERP omitted stimulus response to “no-stim” events and its implications for fast-rate event-related fMRI designs

Busse, Laura; Woldorff, Marty G.

doi:10.1016/s1053-8119(03)00012-0

Cited by 57 publications

(45 citation statements)

References 32 publications

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“…Previous studies of rhythm perception have pointed to a link between increased P3 amplitudes and improved timing (Jongsma et al, 2007;Correa and Nobre, 2008). The fact that a fron-tal P3 was elicited during the target interval in the absence of a stimulus change indicates that this component is not stimulus driven but represents an active endogenous mechanism that traces the temporal structure of the task (Busse and Woldorff, 2003). Although amplitude differences reached significance across the 30 s epoch, no clear trends were apparent in the P3 signal that could differentiate the two detection conditions.…”

Section: Discussionmentioning

confidence: 98%

Uncovering the Neural Signature of Lapsing Attention: Electrophysiological Signals Predict Errors up to 20 s before They Occur

O’Connell

Dockree

Robertson

et al. 2009

Journal of Neuroscience

263

249

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The extent to which changes in brain activity can foreshadow human error is uncertain yet has important theoretical and practical implications. The present study examined the temporal dynamics of electrocortical signals preceding a lapse of sustained attention. Twenty-one participants performed a continuous temporal expectancy task, which involved continuously monitoring a stream of regularly alternating patterned stimuli to detect a rarely occurring target stimulus whose duration was 40% longer. The stimulus stream flickered at a rate of 25 Hz to elicit a steady-state visual-evoked potential (SSVEP), which served as a continuous measure of basic visual processing. Increasing activity in the ␣ band (8 -14 Hz) was found beginning ϳ20 s before a missed target. This was followed by decreases in the amplitude of two event-related components over a short pretarget time frame: the frontal P3 (3-4 s) and contingent-negative variation (during the target interval). In contrast, SSVEP amplitude before hits and misses was closely matched, suggesting that the efficacy of ongoing basic visual processing was unaffected. Our results show that the specific neural signatures of attentional lapses are registered in the EEG up to 20 s before an error.

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Section: Discussionmentioning

confidence: 98%

Uncovering the Neural Signature of Lapsing Attention: Electrophysiological Signals Predict Errors up to 20 s before They Occur

O’Connell

Dockree

Robertson

et al. 2009

Journal of Neuroscience

263

249

View full text Add to dashboard Cite

show abstract

“…This meant that in both the inter-modal and auditory oddball tasks the standard stimulus was omitted when the targets were presented. Busse and Woldorff (2003) demonstrated that irrelevant auditory stimulus omissions produce an endogenous ERP response. We note that in both of the oddball tasks in this study, an effect of stimulus omission may be incorporated in the resultant ERP.…”

Section: Discussionmentioning

confidence: 99%

Inter-modal attention: ERPs to auditory targets in an inter-modal oddball task

Brown

Clarke

Barry

2006

International Journal of Psychophysiology

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“…The average of these no cue segments, which represents the average overlap of adjacent events/trials, served as the baseline. The overlapping activity can be subtracted out using this baseline as demonstrated by other studies (Busse and Woldorff, 2003;Talsma and Woldorff, 2005). The time window was from 200 ms prestimulus to 800 ms poststimulus for both cue and target onset locked segments, and 400 ms before and 400 ms after response for response locked segments.…”

Section: Methodsmentioning

confidence: 99%

The Relation of Brain Oscillations to Attentional Networks

Fan

Byrne²,

Worden³

et al. 2007

Journal of Neuroscience

254

253

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Previous studies have suggested the relation of particular frequency bands such as theta (4 -8 Hz), alpha (8 -14 Hz), beta (14 -30 Hz), or gamma (Ͼ30 Hz) to cognitive functions. However, there has been controversy over which bands are specifically related to attention. We used the attention network test to separate three anatomically defined brain networks that carry out the functions of alerting, orienting, and executive control of attention. High-density scalp electrical recording was performed to record synchronous oscillatory activity and power spectrum analyses based on functional magnetic resonance imaging constrained dipole modeling were conducted for each attentional network. We found that each attentional network has a distinct set of oscillations related to its activity. The alerting network showed a specific decrease in theta-, alpha-, and beta-band activity 200 -450 ms after a warning signal. The orienting network showed an increase in gamma-band activity at ϳ200 ms after a spatial cue, indicating the location of a target. The executive control network revealed a complex pattern when a target was surrounded with incongruent flankers compared with congruent flankers. There was an early (Ͻ400 ms) increase in gamma-band activity, a later (Ͼ400 ms) decrease in beta-and low gamma-band activity after the target onset, and a decrease of all frequency bands before response followed by an increase after the response. These data demonstrate that attention is not related to any single frequency band but that each network has a distinct oscillatory activity and time course.

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The ERP omitted stimulus response to “no-stim” events and its implications for fast-rate event-related fMRI designs

Cited by 57 publications

References 32 publications

Uncovering the Neural Signature of Lapsing Attention: Electrophysiological Signals Predict Errors up to 20 s before They Occur

Uncovering the Neural Signature of Lapsing Attention: Electrophysiological Signals Predict Errors up to 20 s before They Occur

Inter-modal attention: ERPs to auditory targets in an inter-modal oddball task

The Relation of Brain Oscillations to Attentional Networks

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