Evidence map›Paper›PMID 41140465›Full record

ArticleComputational and structural biotechnology journal2025

A method for analyzing the ERP associated with high frequency ANT DBS offset.

Herkko Mattila, Anna-Liisa Satomaa, Kai Lehtimäki, Jari Hyttinen, Sari-Leena Himanen, Jukka Peltola

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Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Herkko MattilaDepartment of Clinical Neurophysiology, Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland.
Anna-Liisa SatomaaDepartment of Clinical Neurophysiology, Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland.
Kai LehtimäkiDepartment of Neurosciences and Rehabilitation, Tampere University Hospital, Tampere, Finland.
Jari HyttinenComputational Biophysics and Imaging Group, Tech Unit and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Sari-Leena HimanenDepartment of Clinical Neurophysiology, Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland.
Jukka PeltolaDepartment of Neurosciences and Rehabilitation, Tampere University Hospital, Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We describe a sensor and source space electroencephalography (EEG) analysis method for clinically established high frequency (140 Hz) deep brain stimulation (DBS) of the anterior nucleus of thalamus (ANT). We demonstrate this by evaluating the EEG effects time locked to DBS in a single participant. Methods: We used 1 s on and 5 s off stimulation on/off durations, providing a large number of trials. After artifact cleaning, the stimulation on-off EEG were averaged, and sensor and source space signals were determined and assessed. Results: We found an event-related potential (ERP) time locked to the DBS stimulation offset. Source localization analysis revealed that the main sources of this ERP were localized in the limbic system (Papez circuit). Further, the sources in the anterior cingulate cortex were found to oscillate in synchrony with the ERP. Conclusions: This study shows that time-locked EEG analysis related to monopolar bilateral 140 Hz ANT DBS stimulation is feasible. Significance: The developed toolset reveals novel time-locked effects of high frequency ANT DBS on brain activity, which shows the future potential of sensor and source space analysis for DBS. The ERP findings might also prove useful in the optimization of epilepsy treatment with ANT DBS.

Indexed as

ANT DBSEEGERPLimbic systemPapez circuitSource localization

Identifiers

PMID41140465
PMCPMC12552114

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