Motor-related oscillatory activity in schizophrenia according to phase of illness and clinical symptom severity

Gascoyne, Lauren E.; Brookes, Matthew J.; Rathnaiah, Mohanbabu; Katshu, Mohammad Zia Ul Haq; Koelewijn, Loes; Williams, Gemma; Kumar, Jyothika; Walters, James; Seedat, Zelekha A.; Palaniyappan, Lena; Deakin, Bill; Singh, Krish D.; Liddle, Peter F.; Morris, Peter G.

doi:10.1016/j.nicl.2020.102524

Cited by 20 publications

(23 citation statements)

References 44 publications

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“…Related, two regions exhibiting a coincident burst may not necessarily be exhibiting a functional connection. This is a fundamental limitation of the univariate nature of the method; however, we note that this same methodology has been applied successfully in previous papers ( Gascoyne et al, 2021 , Seedat et al, 2020 ); it is known to reliably extract connectome metrics (based on burst coincidence), and coincident bursts have been demonstrated to occur during periods of increased phase locking. For these reasons, it remains likely that the method offers a true picture of oscillatory dynamics and connectomics.…”

Section: Discussionmentioning

confidence: 99%

“…Seedat et al used a Hidden Markov Model (HMM) to identify bursts and showed that the beta band connectome can be explained by the temporal coincidence of bursting ( Seedat et al, 2020 ). Using a similar technique, Gascoyne et al showed that previously reported beta abnormalities in schizophrenia can be explained using the burst model ( Gascoyne et al, 2021 ). The neurobiological origins of the beta burst have been studied through neural modelling ( Jones, 2016 , Sherman et al, 2016 ), which could provide a deeper understanding of the origin of signal abnormalities within the cortex and suggests that important features of these transient neural signals can be lost through averaging data from many epochs or trials.…”

Section: Introductionmentioning

confidence: 99%

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Mild traumatic brain injury impairs the coordination of intrinsic and motor-related neural dynamics

Rier

Zamyadi

Zhang

et al. 2021

NeuroImage: Clinical

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Highlights MTBI is poorly understood and lacks objective diagnostic and prognostic tools. Abnormal neural oscillations are found in subjects with a history of mTBI. We identify transient bursts in MEG data using a Hidden Markov Model. We explain a deficit in beta connectivity and power in terms of transient bursts. Data-driven feature selection identifies symptom-relevant functional connections.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mild traumatic brain injury impairs the coordination of intrinsic and motor-related neural dynamics

Rier

Zamyadi

Zhang

et al. 2021

NeuroImage: Clinical

Self Cite

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“…The oscillation acts as a bridge to connect different brain regions with resonant communication, which can regulate changes of neuronal networks and cause qualitative transitions between modes of information processing [15]- [17]. Impaired coordination of brain activity associated with abnormal electrophysiological oscillations contributes to the generation of psychaitric disorders [18]. Numerous studies have investigated EEG oscillatory FC of MDD in resting-state, and dysconnectivity networks are mostly notable in theta, alpha and beta oscillations [16], [19], [20].…”

Section: Introductionmentioning

confidence: 99%

Identifying Oscillatory Hyperconnectivity and Hypoconnectivity Networks in Major Depression Using Coupled Tensor Decomposition

Liu

Wang

et al. 2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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Previous researches demonstrate that major depression disorder (MDD) is associated with widespread network dysconnectivity, and the dynamics of functional connectivity networks are important to delineate the neural mechanisms of MDD. Neural oscillations exert a key role in coordinating the activity of remote brain regions, and various assemblies of oscillations can modulate different networks to support different cognitive tasks. Studies have demonstrated that the dysconnectivity of electroencephalography (EEG) oscillatory networks is related with MDD. In this study, we investigated the oscillatory hyperconnectivity and hypoconnectivity networks in MDD under a naturalistic and continuous stimuli condition of music listening. With the assumption that the healthy group and the MDD group share similar brain topology from the same stimuli and also retain individual brain topology for group differences, we applied the coupled nonnegative tensor decomposition algorithm on two adjacency tensors with the dimension of time × frequency × connectivity × subject,

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“…This likely reflects that the post-movement ERS is related to prediction and attenuation of self-generated stimuli. Importantly, other recent MEG studies have shown that the post-movement rebound in beta frequencies is reduced in the SCZ spectrum 47 , 48 . However, whether a relationship exists between this altered post-movement neural activity and impaired premovement potentials (such as the RP) in SCZ remains an open question.…”

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confidence: 78%

Reduced readiness potential and post-movement beta synchronization reflect self-disorders in early course schizophrenia

Donati

Fecchio

Maestri

et al. 2021

Sci Rep

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Disturbances of conscious awareness, or self-disorders, are a defining feature of schizophrenia. These include symptoms such as delusions of control, i.e. the belief that one’s actions are controlled by an external agent. Models of self-disorders point at altered neural mechanisms of source monitoring, i.e. the ability of the brain to discriminate self-generated stimuli from those driven by the environment. However, evidence supporting this putative relationship is currently lacking. We performed electroencephalography (EEG) during self-paced, brisk right fist closures in ten (M = 9; F = 1) patients with Early-Course Schizophrenia (ECSCZ) and age and gender-matched healthy volunteers. We measured the Readiness Potential (RP), i.e. an EEG feature preceding self-generated movements, and movement-related EEG spectral changes. Self-disorders in ECSCZ were assessed with the Examination of Anomalous Self-Experience (EASE). Patients showed a markedly reduced RP and altered post-movement Event-Related Synchronization (ERS) in the beta frequency band (14–24 Hz) compared to healthy controls. Importantly, smaller RP and weaker ERS were associated with higher EASE scores in ECSCZ. Our data suggest that disturbances of neural correlates preceding and following self-initiated movements may reflect the severity of self-disorders in patients suffering from ECSCZ. These findings point towards deficits in basic mechanisms of sensorimotor integration as a substrate for self-disorders.

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Motor-related oscillatory activity in schizophrenia according to phase of illness and clinical symptom severity

Abstract: Highlights Beta rebound (PMBR) is reduced in recent-onset and established schizophrenia cases In established cases, PMBR is negatively correlated with disorganisation symptoms Hidden Markov model shows different transient pan-spectral bursts underlying PMBR.

Cited by 20 publications

References 44 publications

Mild traumatic brain injury impairs the coordination of intrinsic and motor-related neural dynamics

Mild traumatic brain injury impairs the coordination of intrinsic and motor-related neural dynamics

Identifying Oscillatory Hyperconnectivity and Hypoconnectivity Networks in Major Depression Using Coupled Tensor Decomposition

Reduced readiness potential and post-movement beta synchronization reflect self-disorders in early course schizophrenia

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