Abnormalities in P300 components in depression: an ERP-sLORETA study

Zhou, Lina; Wang, Gaohua; Cai, Nan; Wang, Huiling; Liu, Zhongchun; Bai, Hanping

doi:10.1080/08039488.2018.1478991

Cited by 52 publications

(30 citation statements)

References 44 publications

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“…Third, we did not administer the flanker task again at the follow‐up visit, which would have allowed us to determine if within‐subject changes in P300 amplitude coincided with changes in depression symptoms and would provide insight into whether the P300 tracks current symptom severity. Finally, we did not assess P300 amplitudes elicited from other tasks, despite previous evidence of robust differences between depressed individuals and controls using task such as oddball task (Bruder et al., 2009; Gangadhar et al., 1993; Nan et al., 2018; Roschke & Wagner, 2003; Urretavizcaya et al., 2003; Zhou et al., 2019); future research could examine whether the P300 to flanker stimuli compared to oddball tasks reflect similar underlying impairments in depression, or whether task‐related P300s could account for unique variance in depressive outcomes.…”

Section: Discussionmentioning

confidence: 99%

“…Most previous research has shown that depression is associated with a reduced P300 amplitude to auditory and visual oddball stimuli (Bruder et al., 2009; Gangadhar et al., 1993; Nan et al., 2018; Roschke & Wagner, 2003; Urretavizcaya et al., 2003; Zhou et al., 2019). However, these findings have not been consistently demonstrated across the literature, with studies failing to observe P300 amplitude reductions in currently depressed participants compared to healthy controls when elicited from auditory oddball tasks (Bruder et al., 1998; Hansenne et al., 1996; Kaustio et al., 2002; Sara et al., 1994; Vandoolaeghe et al., 1998).…”

Section: Introductionmentioning

confidence: 97%

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A reduced P300 prospectively predicts increased depressive severity in adults with clinical depression

et al. 2021

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Neurocognitive impairments commonly observed in depressive disorders are thought to be reflected in reduced P300 amplitudes. To date, depression‐related P300 amplitude reduction has mostly been demonstrated cross‐sectionally, while its clinical implication for the course of depression remains largely unclear. Moreover, the relationship between P300 and specific clinical characteristics of depression is uncertain. To shed light on the functional significance of the P300 in depression, we examined whether initial P300 amplitude prospectively predicted changes in depressive symptoms among a community sample of 58 adults (mean age = 38.86 years old, 81% female) with a current depressive disorder. This sample was assessed at two‐time points, separated by approximately nine months (range = 6.6–15.9). At the initial visit, participants completed clinical interviews, self‐report measures, and a flanker task, while EEG was recorded to derive P300 amplitude. At the follow‐up visit, participants again completed the same clinical interviews and self‐report measures. Results indicated that a reduced P300 amplitude at the initial visit was associated with higher total depressive symptoms at follow‐up, even after controlling for initial depressive symptoms. These data indicate the potential clinical utility for the P300 as a neural marker of disease course among adults with a current depressive disorder. Future research may target P300 in interventions to determine whether depression‐related outcomes can be improved.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

A reduced P300 prospectively predicts increased depressive severity in adults with clinical depression

et al. 2021

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“…On the one hand, compared to ADHD children, HCs showed much stronger activity in frontal, cingulate, and central areas for P2. And these cortexes involved in the generation of P2 [ 51 ] and abnormalities in these regions were common in ADHD [ 52 ]. On the other hand, the temporal, especially superior temporal cortex, and frontal regions illustrated by the earlier study were both linked with N2 generators [ 53 , 54 ]; in specific, the neuronal activity of frontotemporal regions was associated with N2 [ 55 ].…”

Section: Discussionmentioning

confidence: 99%

Altered Functional Connectivity in Children with ADHD Revealed by Scalp EEG: An ERP Study

Chen

Yang

et al. 2021

Neural Plasticity

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Attention deficit hyperactivity disorder (ADHD) is one of the most common neurodevelopmental brain disorders in childhood. Despite extensive researches, the neurobiological mechanism underlying ADHD is still left unveiled. Since the deficit functions, such as attention, have been demonstrated in ADHD, in our present study, based on the oddball P3 task, the corresponding electroencephalogram (EEG) of both healthy controls (HCs) and ADHD children was first collected. And we then not only focused on the event-related potential (ERP) evoked during tasks but also investigated related brain networks. Although an insignificant difference in behavior was found between the HCs and ADHD children, significant electrophysiological differences were found in both ERPs and brain networks. In detail, the dysfunctional attention occurred during the early stage of the designed task; as compared to HCs, the reduced P2 and N2 amplitudes in ADHD children were found, and the atypical information interaction might further underpin such a deficit. On the one hand, when investigating the cortical activity, HCs recruited much stronger brain activity mainly in the temporal and frontal regions, compared to ADHD children; on the other hand, the brain network showed atypical enhanced long-range connectivity between the frontal and occipital lobes but attenuated connectivity among frontal, parietal, and temporal lobes in ADHD children. We hope that the findings in this study may be instructive for the understanding of cognitive processing in children with ADHD.

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“…The dataset we provided contains the participants’ brain electrical activity exposed to both smoking-related cues and neutral cues. There are other methods to analyze the dataset, such as the microstate ( Michel, 2018 ) and source analysis ( Zhou et al, 2019 ). These methods can be implemented on this dataset to discover mechanisms of nicotine addiction.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

A Novel Cognition-Guided Neurofeedback BCI Dataset on Nicotine Addiction

Liu

Gou

et al. 2021

Front. Neurosci.

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Compared with the traditional neurofeedback paradigm, the cognition-guided neurofeedback brain–computer interface (BCI) is a novel paradigm with significant effect on nicotine addiction. However, the cognition-guided neurofeedback BCI dataset is extremely lacking at present. This paper provides a BCI dataset based on a novel cognition-guided neurofeedback on nicotine addiction. Twenty-eight participants are recruited and involved in two visits of neurofeedback training. This cognition-guided neurofeedback includes two phases: an offline classifier construction and a real-time neurofeedback training. The original electroencephalogram (EEG) raw data of two phases are provided and evaluated in this paper. The event-related potential (ERP) amplitude and channel waveform suggest that our BCI dataset is of good quality and consistency. During neurofeedback training, the participants’ smoking cue reactivity patterns have a significant reduction. The mean accuracy of the multivariate pattern analysis (MVPA) classifier can reach approximately 70%. This novel cognition-guided neurofeedback BCI dataset can be used to develop comparisons with other neurofeedback systems and provide a reference for the development of other BCI algorithms and neurofeedback paradigms on addiction.

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Abnormalities in P300 components in depression: an ERP-sLORETA study

Cited by 52 publications

References 44 publications

A reduced P300 prospectively predicts increased depressive severity in adults with clinical depression

A reduced P300 prospectively predicts increased depressive severity in adults with clinical depression

Altered Functional Connectivity in Children with ADHD Revealed by Scalp EEG: An ERP Study

A Novel Cognition-Guided Neurofeedback BCI Dataset on Nicotine Addiction

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