Euthymic bipolar disorder patients and EEG microstates: a neural signature of their abnormal self experience?

Vellante, Federica; Ferri, Francesca; Baroni, Gaia; Croce, Pierpaolo; Migliorati, Daniele; Pettoruso, Mauro; Berardis, Domenico De; Martinotti, Giovanni; Zappasodi, Filippo; Giannantonio, Massimo Di

doi:10.1016/j.jad.2020.03.175

Cited by 36 publications

(28 citation statements)

References 61 publications

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“…We detected different non-casual directional transitions and transitional loops that were specific of QS and AS. This finding sides well with results of adult studies demonstrating that the transition probabilities between microstates are not casual, and that transition preferences occur (Lehmann et al, 2005 ) and are altered in pathological conditions (Nishida et al 2013 ; Tomescu et al 2015 ; Vellante et al 2020 ). In adult studies, the sequences of microstates have been interpreted as an “evolutionary determined, brain-intrinsic biases toward particular patterns of co-activation particularly suited to represent environmental relevant information” (Michel and Koenig 2018 ).…”

Section: Discussionsupporting

confidence: 85%

Characterization of the Functional Dynamics in the Neonatal Brain during REM and NREM Sleep States by means of Microstate Analysis

et al. 2021

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Neonates spend most of their life sleeping. During sleep, their brain experiences fast changes in its functional organization. Microstate analysis permits to capture the rapid dynamical changes occurring in the functional organization of the brain by representing the changing spatio-temporal features of the electroencephalogram (EEG) as a sequence of short-lasting scalp topographies—the microstates. In this study, we modeled the ongoing neonatal EEG into sequences of a limited number of microstates and investigated whether the extracted microstate features are altered in REM and NREM sleep (usually known as active and quiet sleep states—AS and QS—in the newborn) and depend on the EEG frequency band. 19-channel EEG recordings from 60 full-term healthy infants were analyzed using a modified version of the k-means clustering algorithm. The results show that ~ 70% of the variance in the datasets can be described using 7 dominant microstate templates. The mean duration and mean occurrence of the dominant microstates were significantly different in the two sleep states. Microstate syntax analysis demonstrated that the microstate sequences characterizing AS and QS had specific non-casual structures that differed in the two sleep states. Microstate analysis of the neonatal EEG in specific frequency bands showed a clear dependence of the explained variance on frequency. Overall, our findings demonstrate that (1) the spatio-temporal dynamics of the neonatal EEG can be described by non-casual sequences of a limited number of microstate templates; (2) the brain dynamics described by these microstate templates depends on frequency; (3) the features of the microstate sequences can well differentiate the physiological conditions characterizing AS and QS.

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Section: Discussionsupporting

confidence: 85%

Characterization of the Functional Dynamics in the Neonatal Brain during REM and NREM Sleep States by means of Microstate Analysis

et al. 2021

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“…Previous studies reported decreased (59) occurrences and decreased (59) coverages of microstate B in SCH patients. Previous studies report a reduced presence of microstate B in Euthymic BD patients compared to HC (66). Microstate B was related to the visual network, according to previous studies (37,61,67), and imagination associated with the awareness of situational personal memory, that is, the mental visualization of the situation (68).…”

Section: Discussionmentioning

confidence: 75%

Electroencephalographic Microstates in Schizophrenia and Bipolar Disorder

2021

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Schizophrenia (SCH) and bipolar disorder (BD) are characterized by many types of symptoms, damaged cognitive function, and abnormal brain connections. The microstates are considered to be the cornerstones of the mental states shown in EEG data. In our study, we investigated the use of microstates as biomarkers to distinguish patients with bipolar disorder from those with schizophrenia by analyzing EEG data measured in an eyes-closed resting state. The purpose of this article is to provide an electron directional physiological explanation for the observed brain dysfunction of schizophrenia and bipolar disorder patients.Methods: We used microstate resting EEG data to explore group differences in the duration, coverage, occurrence, and transition probability of 4 microstate maps among 20 SCH patients, 26 BD patients, and 35 healthy controls (HCs).Results: Microstate analysis revealed 4 microstates (A–D) in global clustering across SCH patients, BD patients, and HCs. The samples were chosen to be matched. We found the greater presence of microstate B in BD patients, and the less presence of microstate class A and B, the greater presence of microstate class C, and less presence of D in SCH patients. Besides, a greater frequent switching between microstates A and B and between microstates B and A in BD patients than in SCH patients and HCs and less frequent switching between microstates C and D and between microstates D and C in BD patients compared with SCH patients.Conclusion: We found abnormal features of microstate A, B in BD patients and abnormal features of microstate A, B, C, and D in SCH patients. These features may indicate the potential abnormalities of SCH patients and BD patients in distributing neural resources and influencing opportune transitions between different states of activity.

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“…Finally, the ARSQ domain of Self was positively correlated to the occurrence of microstate B and negatively correlated to the duration of microstate D. Although microstate B was previously associated with verbalization [10], visual processing [11,46], and activity in the visual network [22,53], Bréchet et al, [21] related microstate B with conscious experience, autobiographic memory, visualization of the scene and visualization of the self in the scene. Vellante et al [62] reported a negative association between microstate B and states of dissociation and anxiety in bipolar patients, interpreting results as reflecting autobiographic memory deficits and increased self-focusing. ARSQ dimension of Self is evaluated with statements 'I thought about my feelings', 'I thought about my behavior' and 'I thought about myself'.…”

Section: Discussionmentioning

confidence: 99%

Relationship between Spatiotemporal Dynamics of the Brain at Rest and Self-Reported Spontaneous Thoughts: An EEG Microstate Approach

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Koenig

et al. 2021

JPM

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Rationale: The resting-state paradigm is frequently applied in electroencephalography (EEG) research; however, it is associated with the inability to control participants’ thoughts. To quantify subjects’ subjective experiences at rest, the Amsterdam Resting-State Questionnaire (ARSQ) was introduced covering ten dimensions of mind wandering. We aimed to estimate associations between subjective experiences and resting-state microstates of EEG. Methods: 5 min resting-state EEG data of 197 subjects was used to evaluate temporal properties of seven microstate classes. Bayesian correlation approach was implemented to assess associations between ARSQ domains assessed after resting and parameters of microstates. Results: Several associations between Comfort, Self and Somatic Awareness domains and temporal properties of neuroelectric microstates were revealed. The positive correlation between Comfort and duration of microstates E showed the strongest evidence (BF10 > 10); remaining correlations showed substantial evidence (10 > BF10 > 3). Conclusion: Our study indicates the relevance of assessments of spontaneous thought occurring during the resting-state for the understanding of the intrinsic brain activity reflected in microstates.

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Euthymic bipolar disorder patients and EEG microstates: a neural signature of their abnormal self experience?

Cited by 36 publications

References 61 publications

Characterization of the Functional Dynamics in the Neonatal Brain during REM and NREM Sleep States by means of Microstate Analysis

Characterization of the Functional Dynamics in the Neonatal Brain during REM and NREM Sleep States by means of Microstate Analysis

Electroencephalographic Microstates in Schizophrenia and Bipolar Disorder

Relationship between Spatiotemporal Dynamics of the Brain at Rest and Self-Reported Spontaneous Thoughts: An EEG Microstate Approach

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