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  Overlapping frontoparietal networks for tactile and visual parametric working memory representations

Wu, Y.-h., Uluç, I., Schmidt, T. T., Tertel, K., Kirilina, E., & Blankenburg, F. (2018). Overlapping frontoparietal networks for tactile and visual parametric working memory representations. NeuroImage, 166, 325-334. doi:10.1016/j.neuroimage.2017.10.059.

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Genre: Zeitschriftenartikel

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 Urheber:
Wu, Yuan-hao1, 2, Autor
Uluç, Işıl1, 2, Autor
Schmidt, Timo Torsten1, 3, 4, Autor
Tertel, Kathrin1, 2, Autor
Kirilina, Evgeniya1, 5, Autor           
Blankenburg, Felix1, 2, 3, Autor
Affiliations:
1Department of Education and Psychology, FU Berlin, Germany, ou_persistent22              
2Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              
3Bernstein Center for Computational Neuroscience, Berlin, Germany, ou_persistent22              
4Institute of Cognitive Science, University of Osnabrück, Germany, ou_persistent22              
5Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              

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Schlagwörter: Working memory; Frequency discrimination task; Vibrotactile; Parametric; fMRI MVPA; Abstract quantity
 Zusammenfassung: Previous working memory (WM) research based on non-human primate electrophysiology and human EEG has shown that frontal brain regions maintain frequencies of flutter stimulation across different sensory modalities by means of a supramodal parametric WM code. These findings imply that frontal regions encode the memorized frequencies in a sensory-unspecific, quantitative format. Here, we explored which brain regions maintain information about frequencies provided by different sensory modalities at the level of activity pattern across fMRI voxel populations. Moreover, we sought evidence for a supramodal multivariate WM representation. Participants maintained the same set of frequencies of tactile vibration and visual flicker for a 6 s WM delay in a frequency discrimination task. A support vector regression model for multivariate pattern analysis was applied. We observed that sensory cortices were only selective for memoranda of their corresponding modalities, while frontoparietal regions exhibited distinguishable activity patterns to memorized frequencies regardless of sensory modality. A common multivariate code was not evident in our data. Collectively, we show that mnemonic representations for stimulus frequencies are maintained throughout the cortical hierarchy, in line with the suggested transformation of information across different representational formats. Although evidence for a supramodal multivariate code is absent, our findings underpin the generalized role of the frontoparietal cortex for maintaining quantitative information across sensory modalities.

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Sprache(n): eng - English
 Datum: 2017-10-172017-07-052017-10-262017-10-282018-02-01
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.neuroimage.2017.10.059
PMID: 29107771
Anderer: Epub 2017
 Art des Abschluß: -

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Projektname : -
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Förderorganisation : Deutscher Akademischer Austauschdienst
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Förderorganisation : Berlin School of Mind and Brain
Projektname : “Sensory Computation in Neural Systems” / GRK 1589/1
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Förderorganisation : German Research Foundation (DFG)

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Titel: NeuroImage
Genre der Quelle: Zeitschrift
 Urheber:
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Ort, Verlag, Ausgabe: Orlando, FL : Academic Press
Seiten: - Band / Heft: 166 Artikelnummer: - Start- / Endseite: 325 - 334 Identifikator: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166