DRCMR Logo 300px Color
 

Electroencephalography (EEG)

Electroencephalography (EEG) is a method group with the aim of supporting the research at DRCMR relative to EEG.

EEG enables us to map the brain activity with a very high time resolution, up to milliseconds.

There is a growing interest in EEG because it can easily be combined with other techniques for multimodal investigations, such as transcranial magnetic and electric stimulation and functional magnetic resonance imaging.

Since EEG provides real-time information, with millisecond resolution, about the state of the brain, this information can be used for brain-computer interface systems or to guide the stimulus timing in non-invasive brain stimulation procedures.

The EEG group is dedicated to advance the use of EEG at DRCMR by providing the most updated procedures proposed by the scientific community and by developing new in-house methods.

Research activities

EEG group develops new methodologies for data analysis in two principal directions:

1) Data cleaning for multimodal acquisitions: there are still no methods that can reliably retrieve data covered by artefacts provoked by the magnetic or electric stimulation in combination with the EEG recordings.

2) Real-time brain state extraction: the transcranial non-invasive stimulation protocols applied linked to a definite brain state should increase in their efficacy. This is crucial for future use of the stimulation techniques for clinical purposes.

Selected Publications

Bergmann TO, Tomasevic L, Siebner HR. Transcranial brain stimulation and EEG/MEG. The Oxford Handbook of Transcranial Stimulation, Second Edition. 2021 Aug.

Tashiro S, Siebner HR, Charalampaki A, Göksu C, Saturnino GB, Thielscher A, Tomasevic L. Probing EEG activity in the targeted cortex after focal transcranial electrical stimulation. Brain Stimul. 2020 May - Jun; 13(3): 815-818. doi: 10.1016/j.brs.2020.02.015.

Siebner, HR., Conde, V., Tomasevic, L., Thielscher, A., Bergmann, TO. Distilling the essence of TMS-evoked EEG potentials (TEPs): A call for securing mechanistic specificity and experimental rigor. Brain Stimul. 2019 Apr 2. pii: S1935-861X(19)30184-6. doi: 10.1016/j.brs.2019.03.076. [Epub ahead of print] PubMed PMID: 30962028.

Madsen, KH., Karabanov, AN., Krohne, LG., Safeldt, MG., Tomasevic, L., Siebner, HR. No trace of phase: Corticomotor excitability is not tuned by phase of pericentral mu-rhythm. Brain Stimul. 2019 May 8. pii: S1935-861X(19)30212-8. doi: 10.1016/j.brs.2019.05.005. [Epub ahead of print] PubMed PMID: 31133479.

Tomasevic, L. and Siebner, H. R., "Peak-projection algorithm to target the phase of cortical oscillations in real-time," 2018 EMF-Med 1st World Conference on Biomedical Applications of Electromagnetic Fields (EMF-Med), Split, 2018, pp. 1-2. doi: 10.23919/EMF-MED.2018.8526056

Conde, V., Tomasevic, L., Akopian, I., Stanek, K., Saturnino, GB., Thielscher, A., Bergmann, TO, Siebner HR. The non-transcranial TMS-evoked potential is an inherent source of ambiguity in TMS-EEG studies. Neuroimage. 2018 Oct 19;185:300-312. doi: 10.1016/j.neuroimage.2018.10.052. [Epub ahead of print] PubMed PMID: 30347282.

Tomasevic, L.
, Takemi, M., Siebner, HR. Synchronizing the transcranial magnetic pulse with electroencephalographic recordings effectively reduces inter-trial variability of the pulse artefact. PLoS One. 2017 Sep 21;12(9):e0185154. doi: 10.1371/journal.pone.0185154. eCollection 2017. PubMed PMID: 28934300; PubMed Central PMCID: PMC5608361.

 

Group Members

Melissa Larsen

Mads Alexander Just Madsen

Adam Ryszczuk

Show all group members (12)