Frontal and parietal ERPs associated with duration discriminations with or without task interference

Gontier, Emilie; Dantec, Christophe Le; Leleu, Arnaud; Paul, Isabelle; Charvin, Heidi; Bernard, Christian; Lalonde, Robert; Rebaı̈, Mohamed

doi:10.1016/j.brainres.2007.07.022

Cited by 23 publications

(29 citation statements)

References 89 publications

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“…The insignificant variation in N1 amplitude in this study may partly due to the use of a stabilometer of low curvature that did not produce as much stance instability as unipedal stance would have. Moreover, the most appealing explanation to reconcile the paradoxical finding is that a dual task may not necessarily alter regional activation, instead altering the interactions of the frontal/prefrontal areas with other cortical regions [such as parietal (Gontier et al, 2007) and premotor areas (Marois et al, 2006)]. Of note, the older adults exhibited a stronger SL_FSM than the young adults (Figure 7A, Table 2).…”

Section: Discussionmentioning

confidence: 97%

“…To our knowledge, no studies have investigated alterations in information transfer for a postural-suprapostural task performed by older adults, despite the degeneration of the white matter integrity of the brain with aging (Furst and Fellgiebel, 2011; de Groot et al, 2016). Hence, it is worthwhile to characterize the differences in the functional connectivity of the frontal/prefrontal areas to other cortical regions [such as the parietal (Gontier et al, 2007) and premotor areas (Marois et al, 2006)] of young and older adults during a postural-suprapostural task.…”

Section: Introductionmentioning

confidence: 99%

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Age-Related Differences in Reorganization of Functional Connectivity for a Dual Task with Increasing Postural Destabilization

Huang

Lin

Hwang

2017

Front. Aging Neurosci.

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The aged brain may not make good use of central resources, so dual task performance may be degraded. From the brain connectome perspective, this study investigated dual task deficits of older adults that lead to task failure of a suprapostural motor task with increasing postural destabilization. Twelve younger (mean age: 25.3 years) and 12 older (mean age: 65.8 years) adults executed a designated force-matching task from a level-surface or a stabilometer board. Force-matching error, stance sway, and event-related potential (ERP) in the preparatory period were measured. The force-matching accuracy and the size of postural sway of the older adults tended to be more vulnerable to stance configuration than that of the young adults, although both groups consistently showed greater attentional investment on the postural task as sway regularity increased in the stabilometer condition. In terms of the synchronization likelihood (SL) of the ERP, both younger and older adults had net increases in the strengths of the functional connectivity in the whole brain and in the fronto-sensorimotor network in the stabilometer condition. Also, the SL in the fronto-sensorimotor network of the older adults was greater than that of the young adults for both stance conditions. However, unlike the young adults, the older adults did not exhibit concurrent deactivation of the functional connectivity of the left temporal-parietal-occipital network for postural-suprapostural task with increasing postural load. In addition, the older adults potentiated functional connectivity of the right prefrontal area to cope with concurrent force-matching with increasing postural load. In conclusion, despite a universal negative effect on brain volume conduction, our preliminary results showed that the older adults were still capable of increasing allocation of neural sources, particularly via compensatory recruitment of the right prefrontal loop, for concurrent force-matching under the challenging postural condition. Nevertheless, dual-task performance of the older adults tended to be more vulnerable to postural load than that of the younger adults, in relation to inferior neural economy or a slow adaptation process to stance destabilization for scant dissociation of control hubs in the temporal-parietal-occipital cortex.

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Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Age-Related Differences in Reorganization of Functional Connectivity for a Dual Task with Increasing Postural Destabilization

Huang

Lin

Hwang

2017

Front. Aging Neurosci.

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“…Contingent negative variations (CNVs) have been associated with the perception of short time intervals (Pfeuty et al, 2003, 2008; Macar and Vidal, 2004; Gontier et al, 2007, 2009; Le Dantec et al, 2007). Mitsudo et al (2009) found that CNVs after the presentation of t 1 were quantitatively related to the duration of t 1.…”

Section: Discussionmentioning

confidence: 99%

“…These simple observations indicate that the human brain is able to register, store, reproduce, retrieve, and compare short time intervals, which Buhusi and Meck (2005) called “millisecond timing.” Indeed, processing time intervals below half a second is important in a number of situations for human beings, i.e., for motor control, speech generation and recognition, playing music, and dancing (Buhusi and Meck, 2005). There are a number of studies that have examined interval estimation within the millisecond range, including both psychophysical (e.g., Merchant et al, 2008; see Grondin, 2001 for a review) and neurophysiological studies (e.g., Gontier et al, 2007; Le Dantec et al, 2007; Gontier et al, 2009; Jin et al, 2009; Morillon et al, 2009; Harrington et al, 2010; see Gibbon et al, 1997; Macar and Vidal, 2004; Grondin, 2010 for reviews). They have addressed issues such as the laws and properties of time perception and timing processing, the cognitive modeling of such processing, and the underlying brain structures that mediate these processes.…”

Section: Introductionmentioning

confidence: 99%

Human Processing of Short Temporal Intervals as Revealed by an ERP Waveform Analysis

Nakajima

Takeichi

2011

Front. Integr. Neurosci.

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To clarify the time course over which the human brain processes information about durations up to ∼300 ms, we reanalyzed the data that were previously reported by Mitsudo et al. (2009) using a multivariate analysis method. Event-related potentials were recorded from 19 scalp electrodes on 11 (nine original and two additional) participants while they judged whether two neighboring empty time intervals – called t1 and t2 and marked by three tone bursts – had equal durations. There was also a control condition in which the participants were presented the same temporal patterns but without a judgment task. In the present reanalysis, we sought to visualize how the temporal patterns were represented in the brain over time. A correlation matrix across channels was calculated for each temporal pattern. Geometric separations between the correlation matrices were calculated, and subjected to multidimensional scaling. We performed such analyses for a moving 100-ms time window after the t1 presentations. In the windows centered at <100 ms after the t2 presentation, the analyses revealed the local maxima of categorical separation between temporal patterns of perceptually equal durations versus perceptually unequal durations, both in the judgment condition and in the control condition. Such categorization of the temporal patterns was prominent only in narrow temporal regions. The analysis indicated that the participants determined whether the two neighboring time intervals were of equal duration mostly within 100 ms after the presentation of the temporal patterns. A very fast brain activity was related to the perception of elementary temporal patterns without explicit judgments. This is consistent with the findings of Mitsudo et al. and it is in line with the processing time hypothesis proposed by Nakajima et al. (2004). The validity of the correlation matrix analyses turned out to be an effective tool to grasp the overall responses of the brain to temporal patterns.

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“…Other empirical studies, in particular dual task paradigms (e.g. Brown, 1997;Coull et al, 2004;Rammsayer & Ulrich, 2005;Gontier et al, 2007), also highlighted the important interaction between allocation of attention and interval timing performance (see Brown, 2008 for review). In particular, non-temporal tasks that tap executive functions interfere with timing and vice versa.…”

Section: Discussionmentioning

confidence: 99%

Duration Magnitude and Memory Resource Demand

Ng¹,

Yip²,

Soh³

et al. 2009

Neuroquantology

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Whether duration magnitude modulates the cognitive resources required to represent that duration in memory is a fundamental question about the cognitive architecture of interval timing. The amplitudes of the Event-Related Potential (ERP) Slow Waves (SWs) elicited when participants maintain representations of different durations (e.g., 1500 versus 3000 ms) in memory may provide an answer to this question because increased positive SWs have been associated with increased working memory demands in studies of verbal and spatial memory. Here, participants judged whether a probe stimulus (S2) was the same duration as the preceding sample stimulus (S1). SWs recorded during a 2 s delay interval between S1 and S2 presentation were significantly more positive in the 3000 ms condition than in the 1500 ms condition, particularly at frontal-central electrode locations. This result suggests that the magnitude of the duration to be remembered influences the cognitive resources required to represent that duration in working memory.

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Frontal and parietal ERPs associated with duration discriminations with or without task interference

Cited by 23 publications

References 89 publications

Age-Related Differences in Reorganization of Functional Connectivity for a Dual Task with Increasing Postural Destabilization

Age-Related Differences in Reorganization of Functional Connectivity for a Dual Task with Increasing Postural Destabilization

Human Processing of Short Temporal Intervals as Revealed by an ERP Waveform Analysis

Duration Magnitude and Memory Resource Demand

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