Page 296 - MEGIN Book Of Abstracts - 2023
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schizophrenia. The aims of this review are (a) to provide   ing, we applied an anatomically constrained linear
            an overview of recent findings in language processing   estimation inverse model known as dynamic statistical
            in schizophrenia with EEG and MEG using neurophysi-  parametric mapping (MNE dSPM) and source-based
            ological indices, providing insights into underlying   connectivity using the weighted phase lag index.
            language related pathophysiological deficits in this
            disease and (b) to emphasize the advantage of EEG and   RESULTS Across one week there was excellent test-re-
            MEG in research on language processing in schizophre-  test reliability in global spectral measures in theta-gam-
            nia.                                               ma bands (HC ICCAvg = 0.87, SZ ICCAvg = 0.87), region-
                                                               al spectral measures in all bands (HC ICCAvg = 0.86,
            Keywords: electroencephalography (EEG), language   SZ ICCAvg = 0.80), and parietal alpha measures (HC
            processing, magnetoencephalography (MEG), neural   ICCAvg = 0.90, SZ ICCAvg = 0.84). Conversely, functional
            oscillation, schizophrenia                         connectivity had poor reliability, as did source spectral
                                                               power across one hour for SZ. Relative to HC, SZ also
            Clinical EEG and neuroscience (2020), Vol. 51, No. 4   had reduced parietal alpha normalized power dur-
            (31741393) (11 citations)                          ing eyes closed only, reduced alpha reactivity, and an
                                                               association between higher PANSS positive scores and
                                                               lower parietal alpha power.
            Reduced parietal alpha power and psychotic
            symptoms: Test-retest reliability of resting-state   CONCLUSIONS There was excellent to good test-retest
            magnetoencephalography in schizophrenia and        reliability in most MEG spectral measures with a few
            healthy controls (2020)                            exceptions in the schizophrenia patient group. Overall,
                                                               these findings encourage the use of resting-state MEG
                                  Candelaria-Cook, Felicha T; Schendel, Megan E; Ojeda,   while emphasizing the importance of determining reli-
            Cesar J; Bustillo, Juan R; Stephen, Julia M        ability in clinical populations.


            The Mind Research Network, Albuquerque, NM, USA. Elec-  Keywords: MEG, Resting-state, Schizophrenia, Spectral
            tronic address: fccook@mrn.org; Department of Psychiatry   power, Symptoms, Test-retest reliability
            and Behavioral Sciences, Center for Psychiatric Research,
            University of New Mexico School of Medicine, Albuquerque,   Schizophrenia research (2020), Vol. 215 (31706785) (10
            NM, USA                                            citations)


            BACKGROUND Despite increased reporting of resting-
            state magnetoencephalography (MEG), reliability of   Intervention-specific patterns of cortical function
            those measures remains scarce and predominately    plasticity during auditory encoding in people with
            reported in healthy controls (HC). As such, there is   schizophrenia (2020)
            limited knowledge on MEG resting-state reliability in
            schizophrenia (SZ).                                                            Dale, Corby L; Brown, Ethan G; Herman, Alexander B;
                                                               Hinkley, Leighton B N; Subramaniam, Karuna; Fisher,
            METHODS To address test-retest reliability in psychosis,   Melissa; Vinogradov, Sophia; Nagarajan, Srikantan S
            a reproducibility study of 26 participants (13-SZ, 13-
            HC) was performed. We collected eyes open and eyes   Department of Radiology and Biomedical Imaging, Univer-
            closed resting-state data during 4 separate instances   sity of California San Francisco, United States; San Francisco
            (2 Visits, 2 runs per visit) to estimate spectral power   Veterans' Affairs Medical Center, United States. Electronic
            reliability (power, normalized power, alpha reactivity)   address: corby.dale@ucsf.edu; Weill Cornell Medical College,
            across one hour and one week. Intraclass correlation   New York, United States; Department of Radiology and
            coefficients (ICCs) were calculated. For source model-  Biomedical Imaging, University of California San Francisco,







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