TRR 295

Publications

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Non-zero mean alpha oscillations revealed with computational model and empirical data

Alina A Studenova, Arno Villringer, Vadim Nikulin

Ongoing oscillations and evoked responses are two main types of neuronal activity obtained with diverse electrophysiological recordings (EEG/MEG/iEEG/LFP). Although typically studied separately, they might in fact be closely related. One possibility to unite them is to demonstrate that neuronal oscillations have non-zero mean which predicts that stimulus- or task-triggered amplitude modulation of oscillations can contribute to the generation of evoked responses. ...
Published: 2022 Jul

No Higher Risk-Seeking Tendencies or Altered Self-Estimation in a Social Decision-Making Task in Patients with Parkinson’s Disease

Alexandra C Zapf, Ann-Kristin Folkerts, Larissa Kahler, Alfons Schnitzler, Paul Reker, Michael T Barbe, Esther Florin, Elke Kalbe

Parkinson's disease (PD) has been associated with a tendency towards more risky decisions. However, the commonly used paradigms typically neglect the social context. Here, we investigated social decision-making and self-estimation in a competitive experimental task. ...
Published: 2022 Jan
Electrophysiological characterization of the hyperdirect pathway and its functional relevance for subthalamic deep brain stimulation

Electrophysiological characterization of the hyperdirect pathway and its functional relevance for subthalamic deep brain stimulation

Bahne H. BahnersGunnar WaterstraatSilja KannenbergGabriel CurioAlfons SchnitzlerVadim NikulinEsther Florin

The subthalamic nucleus (STN) receives input from various cortical areas via hyperdirect pathway (HDP) which bypasses the basal-ganglia loop. Recently, the HDP has gained increasing interest, because of its relevance for STN deep brain stimulation (DBS). To understand the HDP's role cortical responses evoked by STN-DBS have been investigated. ...
Published: 2022 Mar

Neuronal oscillations predict deep brain stimulation outcome in Parkinson’s disease

Jan Hirschmann, Alexandra Steina, Jan Vesper, Esther Florin, Alfons Schnitzler

Neuronal oscillations are linked to symptoms of Parkinson's disease. This relation can be exploited for optimizing deep brain stimulation (DBS), e.g. by informing a device or human about the optimal location, time and intensity of stimulation. Whether oscillations predict individual DBS outcome is not clear so far. To predict motor symptom improvement from subthalamic power and subthalamo-cortical coherence. ...
Published: 2022 May
Real-time phase and amplitude estimation of neurophysiological signals exploiting a non-resonant oscillator

Real-time phase and amplitude estimation of neurophysiological signals exploiting a non-resonant oscillator

Johannes L BuschLucia K FeldmannAndrea A KühnMichael Rosenblum

A recent advancement in the field of neuromodulation is to adapt stimulation parameters according to pre-specified biomarkers tracked in real-time. These markers comprise short and transient signal features, such as bursts of elevated band power. ...
Published: 2022 Jan
Experimental deep brain stimulation in rodent models of movement disorders

Experimental deep brain stimulation in rodent models of movement disorders

Susanne KnorrThomas MusacchioRaik PaulatCordula MatthiesHeinz EndresNikolaus WengerChristoph HarmsChi Wang Ip

Deep brain stimulation (DBS) is the preferred treatment for therapy-resistant movement disorders such as dystonia and Parkinson's disease (PD), mostly in advanced disease stages. Although DBS is already in clinical use for ~30 years and has improved patients' quality of life dramatically, there is still limited understanding of the underlying mechanisms of action. Rodent models of PD and dystonia are essential tools to elucidate the mode of action of DBS on behavioral and multiscale neurobiological levels. ...
Published: 2022 Jan
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