Page 228 - MEGIN Book Of Abstracts - 2023

and Helsinki University Hospital, Helsinki, Finland. Elec- patterning are affected in Parkinson's disease, and
tronic address: [email protected]; BioMag Laboratory, subthalamic deep brain stimulation normalizes some
HUS Medical Imaging Center, University of Helsinki, Aalto of these changes to resemble healthy controls' beta
University, and Helsinki University Hospital, Helsinki, Finland; bursting activity, suggesting a non-invasive biomarker
Department of Neuroscience and Biomedical Engineering, for patient and treatment follow-up.
Aalto University School of Science, Aalto University, Helsinki,
Finland; Megin Oy, Espoo, Finland; Department of Neurosci- Keywords: Beta burst, Deep brain stimulation, Magneto-
ence and Biomedical Engineering, Aalto University School encephalography, Oscillatory activity, Parkinson's disease,
of Science, Aalto University, Helsinki, Finland; Department of Resting state
Psychology, University of Jyväskylä, Jyväskylä, Finland; De-
partment of Neurology, Helsinki University Hospital and De- NeuroImage (2022), Vol. 257 (35569783) (2 citations)
partment of Clinical Neurosciences (Neurology), University of
Helsinki, Helsinki, Finland; BioMag Laboratory, HUS Medical
Imaging Center, University of Helsinki, Aalto University, and Neuronal oscillations predict deep brain stimulation
Helsinki University Hospital, Helsinki, Finland; Department of outcome in Parkinson's disease (2022)
Neuroscience and Biomedical Engineering, Aalto University
School of Science, Aalto University, Helsinki, Finland Hirschmann, Jan; Steina, Alexandra; Vesper, Jan; Florin,
Esther; Schnitzler, Alfons
ABSTRACT Exaggerated subthalamic beta oscillatory
activity and increased beta range cortico-subthalamic Institute of Clinical Neuroscience and Medical Psychology,
synchrony have crystallized as the electrophysiologi- Medical Faculty, Heinrich Heine University, 40225, Düssel-
cal hallmarks of Parkinson's disease. Beta oscillatory dorf, Germany. Electronic address: Jan.Hirschmann@med.
activity is not tonic but occurs in 'bursts' of transient uni-duesseldorf.de; Functional Neurosurgery and Stereotaxy,
amplitude increases. In Parkinson's disease, the char- Department of Neurosurgery, Medical Faculty, Heinrich Heine
acteristics of these bursts are altered especially in the University, 40225, Düsseldorf, Germany; Institute of Clinical
basal ganglia. However, beta oscillatory dynamics at Neuroscience and Medical Psychology, Medical Faculty, Hein-
the cortical level and how they compare with healthy rich Heine University, 40225, Düsseldorf, Germany; Center for
brain activity is less well studied. We used magneto- Movement Disorders and Neuromodulation, Department of
encephalography (MEG) to study sensorimotor corti- Neurology, Medical Faculty, Heinrich Heine University, 40225,
cal beta bursting and its modulation by subthalamic Düsseldorf, Germany
deep brain stimulation in Parkinson's disease patients
and age-matched healthy controls. We show that the BACKGROUND Neuronal oscillations are linked to
changes in beta bursting amplitude and duration symptoms of Parkinson's disease. This relation can be
typical of Parkinson's disease can also be observed in exploited for optimizing deep brain stimulation (DBS),
the sensorimotor cortex, and that they are modulated e.g. by informing a device or human about the optimal
by chronic subthalamic deep brain stimulation, which, location, time and intensity of stimulation. Whether
in turn, is reflected in improved motor function at the oscillations predict individual DBS outcome is not clear
behavioural level. In addition to the changes in indi- so far.
vidual beta bursts, their timing relative to each other
was altered in patients compared to controls: bursts OBJECTIVE To predict motor symptom improvement
were more clustered in untreated Parkinson's disease, from subthalamic power and subthalamo-cortical
occurring in 'bursts of bursts', and re-burst probabil- coherence.
ity was higher for longer compared to shorter bursts.
During active deep brain stimulation, the beta bursting METHODS We applied machine learning techniques
in patients resembled healthy controls' data. In sum- to simultaneously recorded magnetoencephalography
mary, both individual bursts' characteristics and burst and local field potential data from 36 patients with

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