EEG microstates associated with salience and frontoparietal networks in frontotemporal dementia, schizophrenia and Alzheimer’s disease

Nishida, Keiichiro; Morishima, Yosuke; Yoshimura, Masafumi; Isotani, Toshiaki; Irisawa, Satoshi; Jann, Kay; Dierks, Thomas; Strik, Werner; Kinoshita, Toshihiko; Koenig, Thomas

doi:10.1016/j.clinph.2013.01.005

Cited by 208 publications

(269 citation statements)

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“…In order to do so, the cluster analysis needs to be performed separately and the number of optimal maps needs to be defined independently for each group. Statistical topographic correlation analysis can then be applied to distinguish maps that belong to the same class from those that are specific for a certain group or condition (Koenig et al, 1999;Koenig and Melie-Garcia, 2010;Lehmann et al, 2005;Nishida et al, 2013;Strelets et al, 2003).…”

Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

“…conditions or groups (Nishida et al, 2013;Santarnecchi et al, 2017;Zappasodi et al, 2017). The boxplot in Figure 4 illustrates the different steps of microstate analysis.…”

Section: Determining Microstates: Fitting the Cluster Maps To The Datamentioning

confidence: 99%

“…The most prominent pathology studied using this approach is schizophrenia. Eight studies have examined EEG microstates in drug-free patients with schizophrenia or those experiencing their first episodes (Irisawa et al, 2006;Kikuchi et al, 2007;Koenig et al, 1999;Lehmann et al, 2005;Nishida et al, 2013;Strelets et al, 2003), while two studies have investigated microstates in patients receiving medication (Andreou et al, 2014;Tomescu et al, 2015).…”

Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

“…The microstate approach has also be used to investigated conditions such as dementia (Nishida et al, 2013), narcolepsy (Drissi et al, 2016), panic disorder (Kikuchi et al, 2011), multiple sclerosis (Gschwind et al, 2016), head injury (Corradini and Persinger, 2014), diplegia (Gao et al, 2017), and stroke (Zappasodi et al, 2017). In contrast to schizophrenia, decreased occurrence of microstate C and changes in microstate A and B have been observed in patients with most of these other conditions, indicating that imbalances in microstate C and D may be specific to schizophrenia.…”

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confidence: 99%

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EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review

2018

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SummaryThe present review discusses a well-established method for characterizing resting-state activity of the human brain using multichannel electroencephalography (EEG). This method involves the examination of electrical microstates in the brain, which are defined as successive short time periods during which the configuration of the scalp potential field remains semi-stable, suggesting quasi-simultaneity of activity among the nodes of largescale networks. A few prototypic microstates, which occur in a repetitive sequence across time, can be reliably identified across participants. Researchers have proposed that these microstates represent the basic building blocks of the chain of spontaneous conscious mental processes, and that their occurrence and temporal dynamics determine the quality of mentation. Several studies have further demonstrated that disturbances of mental processes associated with neurological and psychiatric conditions manifest as changes in the temporal dynamics of specific microstates. Combined EEG-fMRI studies and EEG source imaging studies have indicated that EEG microstates are closely associated with resting-state networks as identified using fMRI. The scale-free properties of the time series of EEG microstates explain why similar networks can be observed at such different time scales.The present review will provide an overview of these EEG microstates, available methods for analysis, the functional interpretations of findings regarding these microstates, and their behavioral and clinical correlates.

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Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

“…conditions or groups (Nishida et al, 2013;Santarnecchi et al, 2017;Zappasodi et al, 2017). The boxplot in Figure 4 illustrates the different steps of microstate analysis.…”

Section: Determining Microstates: Fitting the Cluster Maps To The Datamentioning

confidence: 99%

Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

mentioning

confidence: 99%

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EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review

2018

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“…Alterations of resting state microstate duration as well as microstate transitions were found in patients with frontotemporal dementia, AD, and schizophrenia as compared to controls (Dierks et al, 1997, Kikuchi et al, 2007, Nishida et al, 2013. However, findings of resting EEG microstates in SD is missing and the notion that the resting EEG in SD is normal has not been investigated further.…”

Section: Introductionmentioning

confidence: 96%

Discovering EEG resting state alterations of semantic dementia

Grieder

Koenig

Kinoshita

et al. 2016

Clinical Neurophysiology

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HighlightsResults: Topographical differences between the groups were found in microstate classes B and C, while microstate classes A and D were comparable. The data showed that the semantic dementia group had a peculiar microstate E, but the commonly found microstate C was lacking. Furthermore, the presence of microstate E was significantly correlated with lower MMSE and language scores. Conclusion: Alterations in resting EEG can be found in semantic dementia. Topographical shifts in microstate C might be related to semantic memory deficits. Significance: This is the first study that discovered resting state EEG abnormality in semantic dementia. The notion that resting EEG in this dementia subtype is normal has to be revised.

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Changes in the left temporal microstate are a sign of cognitive decline in patients with Alzheimer’s disease

et al. 2020

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EEG microstates associated with salience and frontoparietal networks in frontotemporal dementia, schizophrenia and Alzheimer’s disease

Cited by 208 publications

References 51 publications

EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review

EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review

Discovering EEG resting state alterations of semantic dementia

Changes in the left temporal microstate are a sign of cognitive decline in patients with Alzheimer’s disease

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