Independent component analysis on the mismatch negativity in an uninterrupted sound paradigm

Kalyakin, Igor; González, Narciso Barrero; Kärkkäinen, Tommi; Lyytinen, Heikki

doi:10.1016/j.jneumeth.2008.07.012

Cited by 26 publications

(42 citation statements)

References 21 publications

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“…Artifact correction was done in two steps. First, an independent component analyses (ICA) was conducted (Kalyakin, Gonzalez, Karkkainen, & Lyytinen, 2008) and eye movement and muscle artifacts were removed. Second, resting artifacts were rejected after re-referencing to linked mastoids by an amplitude criterion of AE 80 mV for all central and frontal electrodes.…”

Section: Eeg Recordingmentioning

confidence: 99%

Auditory sensory memory and language abilities in former late talkers: A mismatch negativity study

et al. 2010

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The present study investigated whether (a) a reduced duration of auditory sensory memory is found in late talking children and (b) whether deficits of sensory memory are linked to persistent difficulties in language acquisition. Former late talkers and children without delayed language development were examined at the age of 4 years and 7 months using mismatch negativity (MMN) with interstimulus intervals (ISIs) of 500 ms and 2000 ms. Additionally, short-term memory, language skills, and nonverbal intelligence were assessed. MMN mean amplitude was reduced for the ISI of 2000 ms in former late talking children both with and without persistent language deficits. In summary, our findings suggest that late talkers are characterized by a reduced duration of auditory sensory memory. However, deficits in auditory sensory memory are not sufficient for persistent language difficulties and may be compensated for by some children.

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Section: Eeg Recordingmentioning

confidence: 99%

Auditory sensory memory and language abilities in former late talkers: A mismatch negativity study

et al. 2010

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“…The mean age of the children was 11 years 8 months (age range: from 8 years 2 months to 16 years 9 months). Huttunen et al (2007) shown that both clinical groups in our data set produced MMN, and Kalyakin et al (2008) demonstrated that the control children in our dataset certainly generated MMN. The difference between the groups is not a topic of this study.…”

Section: Participantsmentioning

confidence: 62%

“…They named the software as ICASSO (Himberg et al 2004). It has been used to estimate the MMN component by Kalyakin et al (2008Kalyakin et al ( , 2009.…”

Section: Estimating Erp Component With Icassomentioning

confidence: 99%

“…Although ICA has been extensively used to study ERPs (Vigario and Oja 2008; Delorme and Makeig 2004), in the research of a one of the most interesting ERPs, viz, mismatch negativity (MMN) (Näätänen et al 1978;Näätänen 1992;Duncan et al 2009), only few studies have reported the application of ICA to extract MMN (Kalyakin et al 2009;Kalyakin et al 2008;Marco-Pallares et al 2005). MMN studies are usually based on the average over hundreds of single trials of EEG recordings (Näätänen et al 1978;Näätänen 1992;Duncan et al 2009).…”

Section: Introductionmentioning

confidence: 99%

“…As the core technique to decompose the EEG recordings in this study is to combine the single channel method, namely wavelet decomposition (WLD) (Cong et al 2010a), and the multichannel method, namely, ICA, together, the proposed method is denoted as wICA hereinafter. It is compared with difference wave (DW) and ICA (Kalyakin et al 2008) to investigate which method can extract betterdefined MMN.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Answering six questions in extracting children’s mismatch negativity through combining wavelet decomposition and independent component analysis

Cong

Kalyakin

et al. 2011

Cogn Neurodyn

Self Cite

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This study combines wavelet decomposition and independent component analysis (ICA) to extract mismatch negativity (MMN) from electroencephalography (EEG) recordings. As MMN is a small event-related potential (ERP), a systematic ICA based approach is designed, exploiting MMN's temporal, frequency and spatial information. Moreover, this study answers which type of EEG recordings is more appropriate for ICA to extract MMN, what kind of the preprocessing is beneficial for ICA decomposition, which algorithm of ICA can be chosen to decompose EEG recordings under the selected type, how to determine the desired independent component extracted by ICA, how to improve the accuracy of the back projection of the selected independent component in the electrode field, and what can be finally obtained with the application of ICA. Results showed that the proposed method extracted MMN with better properties than those estimated by difference wave only using temporal information or ICA only using spatial information. The better properties mean that the deviant with larger magnitude of deviance to repeated stimuli in the oddball paradigm can elicit MMN with larger peak amplitude and shorter latency. As other ERPs also have the similar information exploited here, the proposed method can be used to study other ERPs.

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Individual Independent Component Analysis on EEG: Event-Related Responses Vs. Difference Wave of Deviant and Standard Responses

Yang

Cong

Chang

et al. 2016

Advances in Neural Networks – ISNN 2016

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Independent component analysis on the mismatch negativity in an uninterrupted sound paradigm

Cited by 26 publications

References 21 publications

Auditory sensory memory and language abilities in former late talkers: A mismatch negativity study

Auditory sensory memory and language abilities in former late talkers: A mismatch negativity study

Answering six questions in extracting children’s mismatch negativity through combining wavelet decomposition and independent component analysis

Individual Independent Component Analysis on EEG: Event-Related Responses Vs. Difference Wave of Deviant and Standard Responses

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