P3 and delta band responses in visual oddball paradigm in schizophrenia

Ergen, Mehmet; Marbach, Sonja; Brand, Andreas; Başar-Eroğlu, Canan; Demiralp, Tamer

doi:10.1016/j.neulet.2008.05.054

Cited by 93 publications

(62 citation statements)

References 31 publications

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“…In this regard, phase synchronization was suggested as a key mechanism of dynamical neuronal communication, and can provide a useful measure of neural integration in sensory task-relevant procedures [47]. These findings are consistent with another study that showed greater differences between controls and SCH patients in the assessment of the evoked response than in the evaluation of the total response (induced and evoked) in delta band [32]. Therefore, the significant reduction of the irregularity in the evoked response for controls and the less evident difference in the evoked response for SCH patients reveals that activation response is weakly phase-locked to stimulus in schizophrenia.…”

Section: Discussionsupporting

confidence: 81%

“…Low frequencies, like alpha band, are related to long-range interactions [20], suggesting that impaired activation response of long-range interactions might contribute to the pathological process. The lower irregularity reduction in the cognitive response of SCH patients seems to be associated with an abnormal information processing, as well as it could be related to the disrupted integrative functions of local and distributed neural circuits [32]. This result suggests that SCH is accompanied by a disrupted network reorganization of neural functions responsible of the P300 generation, mainly in long-range interaction.…”

Section: Discussionmentioning

confidence: 88%

“…Specifically, we assessed the dynamic irregularity patterns through synchronized-averaging (SA) and single-trial (ST) analyses. Few studies addressed the characterization of neural dynamics considering these two approaches jointly [32]. Furthermore, to the best of our knowledge, irregularity patters using these two approaches have never been studied in SCH.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Neural Network Reorganization Analysis During an Auditory Oddball Task in Schizophrenia Using Wavelet Entropy

Gómez‐Pilar

Poza

Bachiller

et al. 2015

Entropy

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Abstract:The aim of the present study was to characterize the neural network reorganization during a cognitive task in schizophrenia (SCH) by means of wavelet entropy (WE). Previous studies suggest that the cognitive impairment in patients with SCH could be related to the disrupted integrative functions of neural circuits. Nevertheless, further characterization of this effect is needed, especially in the time-frequency domain. This characterization is sensitive to fast neuronal dynamics and their synchronization that may be an important component of distributed neuronal interactions; especially in light of the disconnection hypothesis for SCH and its electrophysiological correlates. In this work, the irregularity dynamics elicited by an auditory oddball paradigm were analyzed through synchronized-averaging (SA) and single-trial (ST) analyses. They provide complementary information on the spatial patterns involved in the neural network reorganization. Our results from 20 healthy controls and 20 SCH patients showed a WE decrease from baseline to response both in controls and SCH subjects. These changes were significantly more OPEN ACCESSEntropy 2015, 17 5242 pronounced for healthy controls after ST analysis, mainly in central and frontopolar areas. On the other hand, SA analysis showed more widespread spatial differences than ST results. These findings suggest that the activation response is weakly phase-locked to stimulus onset in SCH and related to the default mode and salience networks. Furthermore, the less pronounced changes in WE from baseline to response for SCH patients suggest an impaired ability to reorganize neural dynamics during an oddball task.

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Section: Discussionsupporting

confidence: 81%

Section: Discussionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Neural Network Reorganization Analysis During an Auditory Oddball Task in Schizophrenia Using Wavelet Entropy

Gómez‐Pilar

Poza

Bachiller

et al. 2015

Entropy

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“…Secondly, it would be interesting to include other measures of non-stationarity such as Kullback-Leibler Distance (KLD) [6]. Previous studies have found a reduction of the evoked response in the delta band [17], so this frequency band could be included in future research. Finally, there are other TFRs that could be used as well, such as the Hilbert-Huang Transform (HHT) [7] or STFT instead of CWT.…”

Section: Resultsmentioning

confidence: 99%

Analysis of the non-stationarity of neural activity during an auditory oddball task in schizophrenia

Núñez

Poza

Gómez‐Pilar

et al. 2016

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Abstract-The aim of this study was to characterize brain dynamics during an auditory oddball task. For this purpose, a measure of the non-stationarity of a given time-frequency representation (TFR) was applied to electroencephalographic (EEG) signals. EEG activity was acquired from 20 schizophrenic (SCH) patients and 20 healthy controls while they underwent a three-stimulus auditory oddball task. The Degree of Stationarity (DS), a measure of the non-stationarity of the TFR, was computed using the continuous wavelet transform. DS was calculated for both the baseline [-300 0] ms and active task [150 550] ms windows of a P300 auditory oddball task. Results showed a statistically significant increase (p<0.05) in non-stationarity for controls during the cognitive task in the central region, while less widespread statistically significant differences were obtained for SCH patients, especially in the beta-2 and gamma bands. Our findings support the relevance of DS as a means to study cerebral processing in SCH. Furthermore, the lack of statistically significant changes in DS for SCH patients suggests an abnormal reorganization of neural dynamics during an oddball task.

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“…PSZ have been found to demonstrate deficits in ERPs elicited from WM tasks [17][18][19] and tasks probing sustained attention [20][21][22][23][24], among others; similar deficits have been observed in first-degree relatives of people with the disorder [22,25,26]. More recently, EEG research has examined oscillatory activity in the brain associated with WM.…”

mentioning

confidence: 85%

Disturbed theta and gamma coupling as a potential mechanism for visuospatial working memory dysfunction in people with schizophrenia

Lynn

Sponheim

2016

Neuropsychiatr Electrophysiol

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Working memory (WM) deficits have been repeatedly observed in people with schizophrenia (PSZ) and their unaffected biological relatives (REL). Given the apparent association with genetic liability for schizophrenia, WM deficits have been proposed as a potential endophenotype for the disorder. Abnormal neural responses during WM performance have likewise been observed in PSZ and REL and may reflect the expression of genetic liability for schizophrenia in brain function. Relatively recent investigations have examined the role of neural oscillatory activity during visuospatial WM function in healthy people, as well as dysfunction in psychopathology. This research was in part motivated by a neural model of WM proposed by Lisman and Idiart (Science 267:1512(Science 267: -1515(Science 267: , 1995 that delineated a mechanism for representing multiple stimuli within WM through systematic interactions between neural oscillations in the theta-and gamma-frequency ranges. Aberrant oscillatory activity in theta and gamma frequency ranges has since been proposed as a potential underlying factor in WM dysfunction in PSZ and REL. The experimental evidence derived from studies of healthy people that pertains to the theta-gamma model of WM is reviewed herein. Although scarce, direct examinations of theta-gamma interactions in PSZ and REL are likewise reviewed in addition to reports of separate deficits in theta and gamma frequencies observed in PSZ during WM. The implications of theta and gamma oscillatory deficits reported in PSZ are discussed in the context of the Lisman and Idiart (Science 267:1512(Science 267: -1515(Science 267: , 1995 model, as well as how these deficits may result in aberrant theta-gamma interactions that give rise to visuospatial WM dysfunction. Given evidence supporting the Lisman and Idiart (Science 267:1512(Science 267: -1515(Science 267: , 1995 model of theta-gamma interactions in WM and the lack of direct exploration of the model in schizophrenia, there is an imperative to carry out formal testing of theta-gamma interactions in PSZ and REL during WM.

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P3 and delta band responses in visual oddball paradigm in schizophrenia

Cited by 93 publications

References 31 publications

Neural Network Reorganization Analysis During an Auditory Oddball Task in Schizophrenia Using Wavelet Entropy

Neural Network Reorganization Analysis During an Auditory Oddball Task in Schizophrenia Using Wavelet Entropy

Analysis of the non-stationarity of neural activity during an auditory oddball task in schizophrenia

Disturbed theta and gamma coupling as a potential mechanism for visuospatial working memory dysfunction in people with schizophrenia

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