Literature DB >> 22056541

Neural interactions at the core of phonological and semantic priming of written words.

Jan Kujala1, Johanna Vartiainen, Hannu Laaksonen, Riitta Salmelin.   

Abstract

Word processing is often probed with experiments where a target word is primed by preceding semantically or phonologically related words. Behaviorally, priming results in faster reaction times, interpreted as increased efficiency of cognitive processing. At the neural level, priming reduces the level of neural activation, but the actual neural mechanisms that could account for the increased efficiency have remained unclear. We examined whether enhanced information transfer among functionally relevant brain areas could provide such a mechanism. Neural activity was tracked with magnetoencephalography while subjects read lists of semantically or phonologically related words. Increased priming resulted in reduced cortical activation. In contrast, coherence between brain regions was simultaneously enhanced. Furthermore, while the reduced level of activation was detected in the same area and time window (superior temporal cortex [STC] at 250-650 ms) for both phonological and semantic priming, the spatiospectral connectivity patterns appeared distinct for the 2 processes. Causal interactions further indicated a driving role for the left STC in phonological processing. Our results highlight coherence as a neural mechanism of priming and dissociate semantic and phonological processing via their distinct connectivity profiles.

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Year:  2011        PMID: 22056541     DOI: 10.1093/cercor/bhr307

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  10 in total

1.  Spectro-temporal correlates of lexical access during auditory lexical decision.

Authors:  Jonathan Brennan; Constantine Lignos; David Embick; Timothy P L Roberts
Journal:  Brain Lang       Date:  2014-04-24       Impact factor: 2.381

2.  Gamma- and theta-band synchronization during semantic priming reflect local and long-range lexical-semantic networks.

Authors:  Monika S Mellem; Rhonda B Friedman; Andrei V Medvedev
Journal:  Brain Lang       Date:  2013-10-14       Impact factor: 2.381

3.  Reading without the left ventral occipito-temporal cortex.

Authors:  Mohamed L Seghier; Nicholas H Neufeld; Peter Zeidman; Alex P Leff; Andrea Mechelli; Arjuna Nagendran; Jane M Riddoch; Glyn W Humphreys; Cathy J Price
Journal:  Neuropsychologia       Date:  2012-09-25       Impact factor: 3.139

4.  Reactivity of dogs' brain oscillations to visual stimuli measured with non-invasive electroencephalography.

Authors:  Miiamaaria V Kujala; Heini Törnqvist; Sanni Somppi; Laura Hänninen; Christina M Krause; Outi Vainio; Jan Kujala
Journal:  PLoS One       Date:  2013-05-01       Impact factor: 3.240

5.  Asymmetric engagement of amygdala and its gamma connectivity in early emotional face processing.

Authors:  Tai-Ying Liu; Yong-Sheng Chen; Jen-Chuen Hsieh; Li-Fen Chen
Journal:  PLoS One       Date:  2015-01-28       Impact factor: 3.240

6.  Dynamic reconfiguration of the language network preceding onset of speech in picture naming.

Authors:  Mia Liljeström; Jan Kujala; Claire Stevenson; Riitta Salmelin
Journal:  Hum Brain Mapp       Date:  2014-11-21       Impact factor: 5.038

7.  Cognitive control activity is modulated by the magnitude of interference and pre-activation of monitoring mechanisms.

Authors:  Jesús Cespón; Santiago Galdo-Álvarez; Fernando Díaz
Journal:  Sci Rep       Date:  2016-12-20       Impact factor: 4.379

8.  Combining Temporal and Spectral Information with Spatial Mapping to Identify Differences between Phonological and Semantic Networks: A Magnetoencephalographic Approach.

Authors:  Fiona McNab; Arjan Hillebrand; Stephen J Swithenby; Gina Rippon
Journal:  Front Psychol       Date:  2012-08-09

9.  Movement priming of EEG/MEG brain responses for action-words characterizes the link between language and action.

Authors:  Giovanna Mollo; Friedemann Pulvermüller; Olaf Hauk
Journal:  Cortex       Date:  2015-11-06       Impact factor: 4.027

10.  Analysis of Functional Connectivity and Oscillatory Power Using DICS: From Raw MEG Data to Group-Level Statistics in Python.

Authors:  Marijn van Vliet; Mia Liljeström; Susanna Aro; Riitta Salmelin; Jan Kujala
Journal:  Front Neurosci       Date:  2018-09-11       Impact factor: 4.677

  10 in total

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