{"title":"Optimizing spatial filters for the extraction of envelope-coupled neural oscillations","abstract":[{"text":"Amplitude-to-amplitude interactions between neural oscillations are of a special interest as they show how the strength of spatial synchronization in different neuronal populations relates to each other during a given task. While, previously, amplitude-to-amplitude correlations were studied primarily on the sensor level, we present a source separation approach using spatial filters which maximize the correlation between the envelopes of brain oscillations recorded with electro-/magnetencephalography (EEG/MEG) or intracranial multichannel recordings. Our approach, which is called canonical source power correlation analysis (cSPoC), is thereby capable of extracting genuine brain oscillations solely based on their assumed coupling behavior even when the signal-to-noise ratio of the signals is low.","lang":"eng"}],"publication":"Proc. Int. Work. Pattern Recognition In Neuroimaging","place":"Tübingen, Germany","date_updated":"2023-01-30T11:58:58Z","type":"conference","citation":{"mla":"Dähne, S., et al. “Optimizing Spatial Filters for the Extraction of Envelope-Coupled Neural Oscillations.” <i>Proc. Int. Work. Pattern Recognition In Neuroimaging</i>, 2014, doi:<a href=\"https://doi.org/10.1109/PRNI.2014.6858514\">10.1109/PRNI.2014.6858514</a>.","chicago":"Dähne, S., V. V. Nikulin, D. Ramírez, P. J. Schreier, K.-R. Müller, and S. Haufe. “Optimizing Spatial Filters for the Extraction of Envelope-Coupled Neural Oscillations.” In <i>Proc. Int. Work. Pattern Recognition In Neuroimaging</i>. Tübingen, Germany, 2014. <a href=\"https://doi.org/10.1109/PRNI.2014.6858514\">https://doi.org/10.1109/PRNI.2014.6858514</a>.","apa":"Dähne, S., Nikulin, V. V., Ramírez, D., Schreier, P. J., Müller, K.-R., &#38; Haufe, S. (2014). Optimizing spatial filters for the extraction of envelope-coupled neural oscillations. <i>Proc. Int. Work. Pattern Recognition In Neuroimaging</i>. <a href=\"https://doi.org/10.1109/PRNI.2014.6858514\">https://doi.org/10.1109/PRNI.2014.6858514</a>","short":"S. Dähne, V.V. Nikulin, D. Ramírez, P.J. Schreier, K.-R. Müller, S. Haufe, in: Proc. Int. Work. Pattern Recognition In Neuroimaging, Tübingen, Germany, 2014.","bibtex":"@inproceedings{Dähne_Nikulin_Ramírez_Schreier_Müller_Haufe_2014, place={Tübingen, Germany}, title={Optimizing spatial filters for the extraction of envelope-coupled neural oscillations}, DOI={<a href=\"https://doi.org/10.1109/PRNI.2014.6858514\">10.1109/PRNI.2014.6858514</a>}, booktitle={Proc. Int. Work. Pattern Recognition In Neuroimaging}, author={Dähne, S. and Nikulin, V. V. and Ramírez, D. and Schreier, P. J. and Müller, K.-R. and Haufe, S.}, year={2014} }","ieee":"S. Dähne, V. V. Nikulin, D. Ramírez, P. J. Schreier, K.-R. Müller, and S. Haufe, “Optimizing spatial filters for the extraction of envelope-coupled neural oscillations,” 2014, doi: <a href=\"https://doi.org/10.1109/PRNI.2014.6858514\">10.1109/PRNI.2014.6858514</a>.","ama":"Dähne S, Nikulin VV, Ramírez D, Schreier PJ, Müller K-R, Haufe S. Optimizing spatial filters for the extraction of envelope-coupled neural oscillations. In: <i>Proc. Int. Work. Pattern Recognition In Neuroimaging</i>. ; 2014. doi:<a href=\"https://doi.org/10.1109/PRNI.2014.6858514\">10.1109/PRNI.2014.6858514</a>"},"department":[{"_id":"263"}],"date_created":"2023-01-30T11:51:49Z","doi":"10.1109/PRNI.2014.6858514","status":"public","_id":"40766","user_id":"43497","author":[{"last_name":"Dähne","full_name":"Dähne, S.","first_name":"S."},{"first_name":"V. V.","last_name":"Nikulin","full_name":"Nikulin, V. V."},{"first_name":"D.","last_name":"Ramírez","full_name":"Ramírez, D."},{"full_name":"Schreier, P. J.","last_name":"Schreier","first_name":"P. J."},{"first_name":"K.-R.","full_name":"Müller, K.-R.","last_name":"Müller"},{"first_name":"S.","full_name":"Haufe, S.","last_name":"Haufe"}],"year":"2014"}