Literature DB >> 16926241

Phase coupling in a cerebro-cerebellar network at 8-13 Hz during reading.

Jan Kujala1, Kristen Pammer, Piers Cornelissen, Alard Roebroeck, Elia Formisano, Riitta Salmelin.   

Abstract

Words forming a continuous story were presented to 9 subjects at frequencies ranging from 5 to 30 Hz, determined individually to render comprehension easy, effortful, or practically impossible. We identified a left-hemisphere neural network sensitive to reading performance directly from the time courses of activation in the brain, derived from magnetoencephalography data. Regardless of the stimulus rate, communication within the long-range neural network occurred at a frequency of 8-13 Hz. Our coherence-based detection of interconnected nodes reproduced several brain regions that have been previously reported as active in reading tasks, based on traditional contrast estimates. Intriguingly, the face motor cortex and the cerebellum, typically associated with speech production, and the orbitofrontal cortex, linked to visual recognition and working memory, additionally emerged as densely connected components of the network. The left inferior occipitotemporal cortex, involved in early letter-string or word-specific processing, and the cerebellum turned out to be the main forward driving nodes of the network. Synchronization within a subset of nodes formed by the left occipitotemporal, the left superior temporal, and orbitofrontal cortex was increased with the subjects' effort to comprehend the text. Our results link long-range neural synchronization and directionality with cognitive performance.

Entities:  

Mesh:

Year:  2006        PMID: 16926241     DOI: 10.1093/cercor/bhl059

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


  51 in total

1.  What's the story? The tale of reading fluency told at speed.

Authors:  Christopher F A Benjamin; Nadine Gaab
Journal:  Hum Brain Mapp       Date:  2011-09-23       Impact factor: 5.038

Review 2.  Current perspectives on the cerebellum and reading development.

Authors:  Travis A Alvarez; Julie A Fiez
Journal:  Neurosci Biobehav Rev       Date:  2018-05-03       Impact factor: 8.989

Review 3.  Source connectivity analysis with MEG and EEG.

Authors:  Jan-Mathijs Schoffelen; Joachim Gross
Journal:  Hum Brain Mapp       Date:  2009-06       Impact factor: 5.038

4.  Dynamic and task-dependent encoding of speech and voice by phase reorganization of cortical oscillations.

Authors:  Milene Bonte; Giancarlo Valente; Elia Formisano
Journal:  J Neurosci       Date:  2009-02-11       Impact factor: 6.167

5.  Optimal spatial filtering for brain oscillatory activity using the Relevance Vector Machine.

Authors:  P Belardinelli; A Jalava; J Gross; J Kujala; R Salmelin
Journal:  Cogn Process       Date:  2013-06-01

6.  Word learning and the cerebral hemispheres: from serial to parallel processing of written words.

Authors:  Andrew W Ellis; Roberto Ferreira; Polly Cathles-Hagan; Kathryn Holt; Lisa Jarvis; Laura Barca
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-12-27       Impact factor: 6.237

7.  Improving the interpretability of all-to-all pairwise source connectivity analysis in MEG with nonhomogeneous smoothing.

Authors:  Jan-Mathijs Schoffelen; Joachim Gross
Journal:  Hum Brain Mapp       Date:  2011-03       Impact factor: 5.038

Review 8.  The cerebellum and cognition: evidence from functional imaging studies.

Authors:  Catherine J Stoodley
Journal:  Cerebellum       Date:  2012-06       Impact factor: 3.847

9.  Manual dexterity predicts phonological decoding speed in typical reading adults.

Authors:  Sandro Franceschini; Sara Bertoni; Andrea Facoetti
Journal:  Psychol Res       Date:  2021-01-06

10.  Time-constrained functional connectivity analysis of cortical networks underlying phonological decoding in typically developing school-aged children: a magnetoencephalography study.

Authors:  Panagiotis G Simos; Roozbeh Rezaie; Jack M Fletcher; Andrew C Papanicolaou
Journal:  Brain Lang       Date:  2012-08-14       Impact factor: 2.381

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