Electromagnetical Neuroimaging

König, Thomas; Astolfi, Laura (26 June 2016). Electromagnetical Neuroimaging (Unpublished). In: OHBM Training course. Geneva. 26.-30.06.2016.

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Neuroimaging is becoming increasingly multimodal, and the integration of hemodynamic, electromagnetic, structural and behavioral data is offering insights unavailable to a single method alone. For conclusions to converge across modalities, the analysis strategies must however contain sufficient conceptual and statistical vigor. Aim of this educational course is to give a critical introduction to the available theories, models and methods to analyze multichannel electromagnetic data recorded from the human scalp in an unambiguous, explicit and coherent way. Particular care is given to present methods that offer explicit junctions to other imaging modalities, allowing converging and/or complementary conclusions.
In addition, there is a rapidly increasing demand for non-invasive human neuroimaging tools to be applicable in translational research. Electromagnetic signals, and in particular the EEG, are exceptionally suitable to be used at the patients' bedside, in critical clinical conditions, or outside hospitals, and their low cost also makes them a prime instrument under economically constrained conditions. The teachers of the course and the content of their presentations will promote a sound methodological basis for the global audience attracted to the OHBM meeting to conduct neuroimaging where the usage of large and expensive scanners is not feasible.

Item Type:

Conference or Workshop Item (Speech)

Division/Institute:

04 Faculty of Medicine > University Psychiatric Services > University Hospital of Psychiatry and Psychotherapy > Translational Research Center

UniBE Contributor:

König, Thomas

Subjects:

500 Science > 570 Life sciences; biology

Language:

English

Submitter:

Thomas König

Date Deposited:

09 Nov 2016 13:42

Last Modified:

05 Dec 2022 14:59

BORIS DOI:

10.7892/boris.89538

URI:

https://boris.unibe.ch/id/eprint/89538

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