Page 250 - MEGIN Book Of Abstracts - 2023

Multistage classification identifies altered cortical amplitude-coupling in wide-spread, bilateral neuronal
phase- and amplitude-coupling in Multiple networks across a broad range of frequencies. These
Sclerosis (2022) changes allowed to successfully classify patients and
controls with an accuracy of 84%. Furthermore, clas-
Siems, Marcus; Tünnerhoff, Johannes; Ziemann, Ulf; sification confidence predicted behavioral scores of
Siegel, Markus disease severity. In sum, our results unravel systematic
changes of large-scale phase- and amplitude coupling
Department of Neural Dynamics and Magnetoencephalog- in Multiple Sclerosis. Furthermore, our results establish
raphy, Hertie Institute for Clinical Brain Research, University a new analysis approach to efficiently contrast high-
of Tübingen, Germany; Centre for Integrative Neuroscience, dimensional neuroimaging data between experimental
University of Tübingen, Germany; MEG Center, University groups or conditions.
of Tübingen, Germany; Department of Neurophysiology
and Pathophysiology, University Medical Center Hamburg- Keywords: Amplitude-coupling, Functional connectiv-
Eppendorf, Hamburg, Germany. Electronic address: m.siems@ ity, Human connectome project, MEG, Multiple Sclerosis,
uke.de; Department of Neurology & Stroke, Hertie Institute Multivariate classification, Neuronal oscillations, Phase-
for Clinical Brain Research, University of Tübingen, Germany; coupling
Department of Neural Dynamics and Magnetoencephalog-
raphy, Hertie Institute for Clinical Brain Research, University NeuroImage (2022), Vol. 264 (36400377) (0 citations)
of Tübingen, Germany; Centre for Integrative Neuroscience,
University of Tübingen, Germany; MEG Center, University of
Tübingen, Germany. Electronic address: markus.siegel@uni- Topological reorganization of brain network might
tuebingen.de contribute to the resilience of cognitive functioning
in mildly disabled relapsing remitting multiple
ABSTRACT Distinguishing groups of subjects or experi- sclerosis (2023)
mental conditions in a high-dimensional feature space
is a common goal in modern neuroimaging studies. Has Silemek, Arzu Ceylan; Nolte, Guido; Pöttgen, Jana;
Successful classification depends on the selection of Engel, Andreas K; Heesen, Christoph; Gold, Stefan M;
relevant features as not every neuronal signal compo- Stellmann, Jan-Patrick
nent or parameter is informative about the research
question at hand. Here, we developed a novel unsu- Institut für Neuroimmunologie und Multiple Sklerose, Uni-
pervised multistage analysis approach that combines versitätsklinikum Hamburg-Eppendorf, Hamburg, Germany;
dimensionality reduction, bootstrap aggregating and Department of Neurophysiology and Pathophysiology,
multivariate classification to select relevant neuro- University Medical Center Hamburg-Eppendorf, Hamburg,
nal features. We tested the approach by identifying Germany; Klinik und Poliklinik für Neurologie, Univer-
changes of brain-wide electrophysiological coupling in sitätsklinikum Hamburg-Eppendorf, Hamburg, Germany;
Multiple Sclerosis. Multiple Sclerosis is a demyelinating Charité - Universitätsmedizin Berlin, Freie Universität Berlin,
disease of the central nervous system that can result Humboldt Universität zu Berlin, and Berlin Institute of Health
in cognitive decline and physical disability. However, (BIH), Klinik für Psychiatrie & Psychotherapie und Medizinische
related changes in large-scale brain interactions remain Klinik m.S. Psychosomatik, Campus Benjamin Franklin (CBF),
poorly understood and corresponding non-invasive Berlin, Germany; Aix-Marseille Université, CNRS, CRMBM, UMR
biomarkers are sparse. We thus compared brain-wide 7339, Marseille, France
phase- and amplitude-coupling of frequency specific
neuronal activity in relapsing-remitting Multiple Sclero- ABSTRACT Multiple sclerosis (MS) is an inflammatory
sis patients (n = 17) and healthy controls (n = 17) using and demyelinating disease which leads to impairment
magnetoencephalography. Changes in this dataset in several functional systems including cognition. Al-
included both, increased and decreased phase- and teration of brain networks is linked to disability and its

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