Auditory and visual P300 reflecting cognitive improvement in patients with schizophrenia with quetiapine: A pilot study

Park, E-Jin; Han, Sang-Ick; Jeon, Young‐Woo

doi:10.1016/j.pnpbp.2010.03.011

Cited by 17 publications

(9 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is observed from these figures that the amplitudes of P300 subcomponents of schizophrenic patients are much smaller compared to healthy subjects, which is in agreement with the existing literature [43][44][45][46]. In fact, one of the most consistent findings in schizophrenic patients is the significant reduction of P300 especially in auditory experiments [43,47]. Additionally, it can be observed that schizophrenic patients have longer P300 latency compared to healthy subjects, which is in agreement with the results of previous studies [22,43,44].…”

Section: Experimental Eeg Datasupporting

confidence: 91%

Cooperative Particle Filtering for Tracking ERP Subcomponents from Multichannel EEG

Monajemi

Jarchi

Ong

et al. 2017

Entropy

View full text Add to dashboard Cite

Abstract:In this study, we propose a novel method to investigate P300 variability over different trials. The method incorporates spatial correlation between EEG channels to form a cooperative coupled particle filtering method that tracks the P300 subcomponents, P3a and P3b, over trials. Using state space systems, the amplitude, latency, and width of each subcomponent are modeled as the main underlying parameters. With four electrodes, two coupled Rao-Blackwellised particle filter pairs are used to recursively estimate the system state over trials. A number of physiological constraints are also imposed to avoid generating invalid particles in the estimation process. Motivated by the bilateral symmetry of ERPs over the brain, the channels further share their estimates with their neighbors and combine the received information to obtain a more accurate and robust solution. The proposed algorithm is capable of estimating the P300 subcomponents in single trials and outperforms its non-cooperative counterpart.

show abstract

Section: Experimental Eeg Datasupporting

confidence: 91%

Cooperative Particle Filtering for Tracking ERP Subcomponents from Multichannel EEG

Monajemi

Jarchi

Ong

et al. 2017

Entropy

View full text Add to dashboard Cite

show abstract

“…Its amplitude indicates the degree of mobilization of effective resources when the brain processes information, and it also indicates the excitability of the brain [16]. Our results and findings of other authors indicate that the P300 latency reflects, to some extent, other aspects of the functional status of the brain, including such characteristics as sensation, attention, memory, information coding, cognitive integration rate, and other activities [17]. The amplitudes of the two P300 components did not differ significantly from each other in our study, which was probably related to the mildness of the cognitive function impairment in the VCIND patients and also to large individual differences.…”

Section: Discussionsupporting

confidence: 60%

Vascular Cognitive Impairment with No Dementia: Neuropsychology, Brain Imaging, and Event-Related Potentials

Jiang

Yao

et al. 2013

Neurophysiology

View full text Add to dashboard Cite

We investigated the neuropsychological characteristics, cranial MRI, and P300 ERPs in patients suffering from vascular cognitive impairment with no dementia (VCIND). A study was performed on 68 cases of VCIND after stroke. The cranial MRI patterns and P300 waves of the patients were compared with those of 56 stroke patients without cognitive impairment and 52 healthy subjects. The MoCA (Montreal Cognitive Assessment) was also used to assess their mental status. The proportion of patients with frontotemporal lesions, multiple lesions, and leukoaraiosis (LA) in the VCIND group was greater than that in the stroke group. The cognitive impairment in patients with the former deficiencies was more significant. The MoCA scores in the VCIND group were significantly lower, and the P300 latency was significantly longer, as compared with other two groups. The P300 latency inversely correlated with the MoCA score. Patients with frontotemporal lesions, multiple lesions, and LA are susceptible to cognitive impairment. The MoCA score and the P300 test are helpful for the early diagnosis of VCIND.

show abstract

“…Remark#3: According to [18], significant reduction of P300 particularly in auditory experiments, is one of the most consistent biological findings in schizophrenia. This work was also in agreement with the literature and it is shown that P3b has constantly lower magnitude in schizophrenic patients (compare Row b and c).…”

Section: Resultsmentioning

confidence: 86%

Singular spectrum analysis for tracking of P300

Enshaeifar

Sanei

Took

2014

2014 International Joint Conference on Neural Networks (IJCNN)

View full text Add to dashboard Cite

In this work, we introduce a complex-valued singular spectrum analysis for the analysis of electroencephalogram (EEG), which typically exhibits noncircular probability distribution. To exploit such prior knowledge, our technique makes use of recent advances in complex-valued statistics to exploit the power difference or the correlation between the data channels, in contrast to current methods which cater only for the restrictive class of circular data. In particular, the principal component analysis-like technique was employed to detect the onset of P300, and tracked this event-related potential. In this way, the classification of EEG can be made possible to differentiate between a healthy subject and a schizophrenic patient. In particular, we illuminate how features such as P3a and P3b can be used to perform such classification.

show abstract

Auditory and visual P300 reflecting cognitive improvement in patients with schizophrenia with quetiapine: A pilot study

Cited by 17 publications

References 59 publications

Cooperative Particle Filtering for Tracking ERP Subcomponents from Multichannel EEG

Cooperative Particle Filtering for Tracking ERP Subcomponents from Multichannel EEG

Vascular Cognitive Impairment with No Dementia: Neuropsychology, Brain Imaging, and Event-Related Potentials

Singular spectrum analysis for tracking of P300

Contact Info

Product

Resources

About