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Autumn School 2008 - Magnetoencephalography
Romani, Gian Luca (2008)
clipboard
mla
clipboard		 Romani G. "Autumn School 2008 - Magnetoencephalography.", timms video, Universität Tübingen (2008): https://timms.uni-tuebingen.de:443/tp/UT_20081015_001_autumnschool_0001. Accessed 05 Nov 2025.
apa
clipboard		 Romani, G. (2008). Autumn School 2008 - Magnetoencephalography. timms video: Universität Tübingen. Retrieved November 05, 2025 from the World Wide Web https://timms.uni-tuebingen.de:443/tp/UT_20081015_001_autumnschool_0001
harvard
clipboard		 Romani, G. (2008). Autumn School 2008 - Magnetoencephalography [Online video]. 15 October. Available at: https://timms.uni-tuebingen.de:443/tp/UT_20081015_001_autumnschool_0001 (Accessed: 5 November 2025).
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title: Autumn School 2008 - Magnetoencephalography
alt. title: Magnetoencephalography - Basic principles, applications and multimodal integration with fMRI
creator: Romani, Gian Luca (author)
subjects: Autumn School 2008, Magnetoencephalography, Neurosciences, MEG, fMRI, functional Magnetic Resonance Imaging, Romani, Gian Luca, Universität Tübingen
description: Lecture of Prof. Gian Luca Romani
abstract: The use of Superconducting Quantum Interference Devices (SQUIDs) in the detection of magnetic fields associated with bioelectric activity in the human brain, namely MagnetoEncephaloGraphy (MEG), is commonly regarded as one of the most significant applications of these devices. The quality of MEG instrumentation nowadays available is definitively satisfactory, also for clinical use, and indeed, many research groups involved in basic and clinical neuroscience studies are routinely using MEG systems together with other functional imaging large-scale instrumentations. Those systems provide the possibility of a fast measurement, and the successive analysis of the data can be performed in a relatively short time period. The results of the analysis usually provide identification of an equivalent source (or more than one), accounting for the active neural population. Alternatively, distributed source analysis and more complex inverse estimation can be performed to avoid, at least in part, a-priori assumptions on the model source. Finally, the source(s) identified can be integrated with anatomical data obtained by means of MRI. The fundamental feature of magnetoencephalography is its capability to follow the activation of different sources in the brain with 1-ms time resolution. This property makes the integration of MEG with functional Magnetic Resonance Imaging (fMRI) - that features an excellent spatial resolution but a poor time resolution - a powerful tool to investigate cerebral functions both in normal and pathological conditions. Different possible approaches to MEG-fMRI integration will be briefly described. Some applications of the technique in basic and clinical research will be reviewed in this talk. Examples of integrated multimodal approaches will be also illustrated with the aim at demonstrating the possibilities of the method when used in combination with fMRI.
publisher: ZDV Universität Tübingen
contributors: ZDV Universität Tübingen (producer), Research Training Group - SFB 550, University of Tübingen (organizer)
creation date: 2008-10-15
dc type: image
localtype: video
identifier: UT_20081015_001_autumnschool_0001
language: eng
rights: Url: https://timmsstatic.uni-tuebingen.de/jtimms/TimmsDisclaimer.html?638979403395708536