Page 290 - MEGIN Book Of Abstracts - 2023
P. 290

Patient, interrupted: MEG oscillation dynamics     ized by reduced signal memory and higher variability
            reveal temporal dysconnectivity in schizophrenia   across time, as evidenced by cortical and subcortical
            (2020)                                             attenuations of LRTCs in the alpha and beta frequency
                                                               bands. Support vector machine significantly classified
                          Alamian, Golnoush; Pascarella, Annalisa; Lajnef, Tarek;   participants using LRTCs in key limbic and paralimbic
            Knight, Laura; Walters, James; Singh, Krish D; Jerbi,   brain areas, with decoding accuracy reaching 82%. Im-
            Karim                                              portantly, these brain regions belong to networks that
                                                               are highly relevant to the symptomology of schizophre-
            CoCo Lab, Department of Psychology, Université de Montréal,   nia. These findings thus posit temporal dysconnectiv-
            Canada. Electronic address: golnoush.alamian@umontreal.  ity as a hallmark of altered information processing in
            ca; Italian National Research Council, Rome, Italy; CUBRIC,   schizophrenia, and help advance our understanding of
            School of Psychology, College of Biomedical and Life Sci-  this pathology.
            ences, Cardiff University, UK; MRC Centre for Neuropsychiatric
            Genetics and Genomics, Division of Psychological Medicine   Keywords: Long-range-temporal-correlations, Machine-
            and Clinical Neurosciences, School of Medicine, College of   learning, Magnetoencephalography, Oscillations, Resting-
            Biomedical and Life Sciences, Cardiff University, UK; CoCo Lab,   state, Schizophrenia
            Department of Psychology, Université de Montréal, Canada;
            MEG Center, University of Montreal, Canada; UNIQUE Centre   NeuroImage. Clinical (2020), Vol. 28 (33395976) (4
            (Unifying AI and Neuroscience - Québec), Quebec, Canada;   citations)
            Mila (Quebec AI Institute), Montreal, QC, Canada; Centre
            de recherche de l'Institut universitaire en santé mentale de
            Montréal, Montreal, QC, Canada                     Motor-related oscillatory activity in schizophrenia
                                                               according to phase of illness and clinical symptom
            ABSTRACT Current theories of schizophrenia em-     severity (2021)
            phasize the role of altered information integration
            as the core dysfunction of this illness. While ample               Gascoyne, Lauren E; Brookes, Matthew J; Rathnaiah,
            neuroimaging evidence for such accounts comes from   Mohanbabu; Katshu, Mohammad Zia Ul Haq; Koelewijn,
            investigations of spatial connectivity, understanding   Loes; Williams, Gemma; Kumar, Jyothika; Walters, James
            temporal disruptions is important to fully capture the   T R; Seedat, Zelekha A; Palaniyappan, Lena; Deakin, J F
            essence of dysconnectivity in schizophrenia. Recent   William; Singh, Krish D; Liddle, Peter F; Morris, Peter G
            electrophysiology studies suggest that long-range
            temporal correlation (LRTC) in the amplitude dynamics   Sir Peter Mansfield Imaging Centre, School of Physics and As-
            of neural oscillations captures the integrity of trans-  tronomy, University of Nottingham, University Park, Notting-
            ferred information in the healthy brain. Thus, in this   ham NG7 2RD, United Kingdom. Electronic address: lauren.
            study, 25 schizophrenia patients and 25 controls (8   [email protected]; Institute of Mental Health,
            females/group) were recorded during two five-minutes   University of Nottingham, Jubilee Campus, Nottingham NG7
            of resting-state magnetoencephalography (once with   2TU, United Kingdom; Nottinghamshire Healthcare NHS
            eyes-open and once with eyes-closed). We used source-  Foundation Trust, Nottingham NG3 6AA, United Kingdom;
            level analyses to investigate temporal dysconnectiv-  CUBRIC, School of Psychology, College of Biomedical and Life
            ity in patients by characterizing LRTCs across cortical   Sciences, Cardiff, Cardiff University CF24 4HQ, United King-
            and sub-cortical brain regions. In addition to standard   dom; MRC Centre for Neuropsychiatric Genetics and Genom-
            statistical assessments, we applied a machine learning   ics, Cardiff University, CF24 4HQ, United Kingdom; Depart-
            framework using support vector machine to evalu-   ment of Psychiatry & Robarts Research Institute, University of
            ate the discriminative power of LRTCs in identifying   Western Ontario & Lawson Health Research Institute, London
            patients from healthy controls. We found that neural   ON, Canada; Division of Neuroscience and Experimental
            oscillations in schizophrenia patients were character-  Psychology, University of Manchester, Oxford Rd, Manchester







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