Topographic deficits in alpha-range resting EEG activity and steady state visual evoked responses in schizophrenia

Goldstein, Michael R.; Peterson, Michael J.; Sanguinetti, Joseph L.; Tononi, Giulio; Ferrarelli, Fabio

doi:10.1016/j.schres.2015.06.012

Cited by 40 publications

(45 citation statements)

References 93 publications

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“…45 In addition, alpha activity in a psychiatric disease state may be associated with neural pathologies. 7 The value of the present results lies in the following points. First, the SCZ patients exhibited decreased high-frequency alpha activity both in the resting state and during a P300-ERP task, compared with HC.…”

Section: Discussionmentioning

confidence: 57%

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Unsuccessful reduction of high‐frequency alpha activity during cognitive activation in schizophrenia

Jang

Jung

et al. 2019

Psychiatry Clin Neurosci

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Aims: Electroencephalogram (EEG) alpha activity during resting state reflects the 'readiness' of an individual to respond to the environment; this includes the performance of cognitive processes. Alpha activity is reported to be attenuated in schizophrenia (SCZ). Understanding the interaction between alpha activity during rest and when cognitively engaged may provide insights into the neural circuitry, which is dysfunctional in SCZ. This study investigated the changes of alpha activity between resting state and cognitive engagement in SCZ patients.Methods: Thirty-four SCZ patients and 29 healthy controls (HC) were recruited. EEG was performed in the resting state and during an auditory P300 task. All experimental procedures followed the relevant institutional guidelines and regulations.Results: In SCZ, high-frequency alpha activity was reduced in the resting state. High-frequency alpha source density was decreased in both the resting-state and a P300 task condition in patients, compared to HC. HC, but not SCZ patients, showed a reduction in high-frequency alpha source density during the P300 task compared to the resting state. The negative correlation between high-frequency alpha source density in the resting state and positive symptoms was significant.Conclusions: High-frequency alpha activity in SCZ patients and its unsuccessful reduction during cognitive processing may be biological markers of SCZ.

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Section: Discussionmentioning

confidence: 57%

“…Schizophrenia (SCZ) is characterized by attenuated alpha activity on electroencephalography (EEG) resting condition with eyes closed and open. [1][2][3][4][5][6][7] Correlations between EEG alpha activity and positive/negative symptoms of SCZ have also been observed. 5,8,9 Alpha oscillation is known to reflect physiological arousal and a relaxation state.…”

mentioning

confidence: 82%

Unsuccessful reduction of high‐frequency alpha activity during cognitive activation in schizophrenia

Jang

Jung

et al. 2019

Psychiatry Clin Neurosci

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“…These emerging electrocortical patterns with NMDA receptor blockade seen in our study and in other investigations are reminiscent of some of the reports of aberrant EEG activity in SZ. Deficits in resting spontaneous alpha band activity reported across the clinical course of the disease (chronic SZ, first episode psychosis, prodromal SZ, relatives of SZ probrands) ( Boutros et al, 2008 ; Goldstein et al, 2015 ; Kim et al, 2015 ) were mimicked in our EEG recordings across scalp regions following NMDA antagonist treatment. They were also seen in recent MEG recordings ( Muthukumaraswamy et al, 2015 ), and were concurrent with diffuse increments in gamma also described in some recent resting state studies of SZ ( Kam et al, 2013 ; Kocsis et al, 2013 ; Tikka et al, 2013 , 2014 , 2015 ).…”

Section: Discussionmentioning

confidence: 72%

“…Aberrant “resting-state” spectral EEG profiles in psychosis have invariably shown increased activity in low frequency (delta, theta) EEG and magnetoencephalographic (MEG) rhythms ( Fehr et al, 2003 ; Boutros et al, 2008 ; Venables et al, 2009 ; Uhlhaas and Singer, 2010 ; Moran and Hong, 2011 ; Ranlund et al, 2014 ) which have been found specifically evidenced in chronic SZ patients ( Sponheim et al, 1994 , 2000 ; Narayanan et al, 2014 ), their first-degree relatives ( Narayanan et al, 2014 ) and first-episode SZ patients ( Sponheim et al, 2000 ), but not in individuals at-risk for psychosis ( Ranlund et al, 2014 ). Spontaneous alpha activity, which predominates in healthy individual’s EEG, is significantly diminished in chronic SZ patients (though unaffected in some studies), with varying findings that depend on scalp region, and whether slower or faster frequencies are examined within this band ( Sponheim et al, 1994 , 2000 ; Knyazeva et al, 2008 ; Hong et al, 2012 ; Narayanan et al, 2014 ; Goldstein et al, 2015 ; Kim et al, 2015 ). Similar inconsistencies are evident with beta rhythms, with chronic patients showing either no abnormalities ( Wada et al, 1994 ; Kam et al, 2013 ; Kim et al, 2015 ) or increased activity ( Sponheim et al, 1994 ; Venables et al, 2009 ; Narayanan et al, 2014 ).…”

Section: Introductionmentioning

confidence: 99%

Effects of Ketamine on Resting-State EEG Activity and Their Relationship to Perceptual/Dissociative Symptoms in Healthy Humans

et al. 2016

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N-methyl-D-aspartate (NMDA) receptor antagonists administered to healthy humans results in schizophrenia-like symptoms, which preclinical research suggests are due to glutamatergically altered brain oscillations. Here, we examined resting-state electroencephalographic activity in 21 healthy volunteers assessed in a placebocontrolled, double-blind, randomized study involving administration of either a saline infusion or a sub-anesthetic dose of ketamine, an NMDA receptor antagonist. Frequency-specific current source density (CSD) was assessed at sensor-level and source-level using eLORETA within regions of interest of a triple network model of schizophrenia (this model posits a dysfunctional switching between large-scale Default Mode and Central Executive networks by the monitor-controlling Salience Network). These CSDs were measured in each session along with subjective symptoms as indexed with the Clinician Administered Dissociative States Scale. Ketamine-induced CSD reductions in slow (delta/theta and alpha) and increases in fast (gamma) frequencies at scalp electrode sites were paralleled by frequency-specific CSD changes in the Default Mode, Central Executive, and Salience networks. Subjective symptoms scores were increased with ketamine and ratings of depersonalization in particular were associated with alpha CSD reductions in general and in specific regions of interest in each of the three networks. These results tentatively support the hypothesis that pathological brain oscillations associated with hypofunctional NMDA receptor activity may contribute to the emergence of the perceptual/dissociate symptoms of schizophrenia.

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“…In this section, we will use healthcare as the exemplar to illustrate SSVEP-based BCI systems' wide spectrum of applications. Clinically, SSVEP-based BCI systems have been applied for diagnosis of various diseases and health issues, such as migraine [25], autism [26], cognitive aging [27], as well as the abnormal nervous system in patients with bipolar disorder [28] and schizophrenia [29], via comparing differences between the patients and healthy people on certain physiological indexes such as brain complexity described by inherent fuzzy entropy and the amplitude/power of SSVEP responses, when they look at certain visual stimuli. In addition to the diagnostic applications, the SSVEP-based BCI systems also show great potential in providing commands to control rehabilitation or assistive devices for people with disability.…”

Section: Healthcare Applicationsmentioning

confidence: 99%

Data Analytics in Steady-State Visual Evoked Potential-Based Brain–Computer Interface: A Review

et al. 2021

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Electroencephalograph (EEG) has been widely applied for brain-computer interface (BCI) which enables paralyzed people to directly communicate with and control of external devices, due to its portability, high temporal resolution, ease of use and low cost. Of various EEG paradigms, steady-state visual evoked potential (SSVEP)-based BCI system which uses multiple visual stimuli (such as LEDs or boxes on a computer screen) flickering at different frequencies has been widely explored in the past decades due to its fast communication rate and high signalto-noise ratio. In this paper, we review the current research in SSVEP-based BCI, focusing on the data analytics that enables continuous, accurate detection of SSVEPs and thus high information transfer rate. The main technical challenges, including signal pre-processing, spectrum analysis, signal decomposition, spatial filtering in particular canonical correlation analysis and its variations, and classification techniques are described in this paper. Research challenges and opportunities in spontaneous brain activities, mental fatigue, transfer learning as well as hybrid BCI are also discussed.

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Topographic deficits in alpha-range resting EEG activity and steady state visual evoked responses in schizophrenia

Cited by 40 publications

References 93 publications

Unsuccessful reduction of high‐frequency alpha activity during cognitive activation in schizophrenia

Unsuccessful reduction of high‐frequency alpha activity during cognitive activation in schizophrenia

Effects of Ketamine on Resting-State EEG Activity and Their Relationship to Perceptual/Dissociative Symptoms in Healthy Humans

Data Analytics in Steady-State Visual Evoked Potential-Based Brain–Computer Interface: A Review

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