Functional connectivity between brain regions involved in learning words of a new language

Previous studies have identified several brain regions that appear to be involved in the acquisition of novel word forms. Standard word-by-word presentation is often used although exposure to a new language normally occurs in a natural, real world situation. In the current experiment we investigated naturalistic language exposure and applied a model-free analysis for hemodynamic-response data. Functional connectivity, temporal correlations between hemodynamic activity of different areas, was assessed during rest before and after presentation of a movie of a weather report in Mandarin Chinese to Dutch participants. We hypothesized that learning of novel words might be associated with stronger functional connectivity of regions that are involved in phonological processing. Participants were divided into two groups, learners and non-learners, based on the scores on a post hoc word recognition task. The learners were able to recognize Chinese target words from the weather report, while the non-learners were not. In the first resting state period, before presentation of the movie, stronger functional connectivity was observed for the learners compared to the non-learners between the left supplementary motor area and the left precentral gyrus as well as the left insula and the left rolandic operculum, regions that are important for phonological rehearsal. After exposure to the weather report, functional connectivity between the left and right supramarginal gyrus was stronger for learners than for non-learners. This is consistent with a role of the left supramarginal gyrus in the storage of phonological forms. These results suggest both pre-existing and learning-induced differences between the two groups.

[1]  H Goodglass,et al.  Language function, foot of the third frontal gyrus, and rolandic operculum. , 1981, Archives of neurology.

[2]  P. Skudlarski,et al.  Detection of functional connectivity using temporal correlations in MR images , 2002, Human brain mapping.

[3]  Anthony D Wagner,et al.  Assembling and encoding word representations: fMRI subsequent memory effects implicate a role for phonological control , 2003, Neuropsychologia.

[4]  R N Aslin,et al.  Statistical Learning by 8-Month-Old Infants , 1996, Science.

[5]  B. Biswal,et al.  Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.

[6]  M. D’Esposito Working memory. , 2008, Handbook of clinical neurology.

[7]  G. Jackson,et al.  Effect of prior cognitive state on resting state networks measured with functional connectivity , 2005, Human brain mapping.

[8]  Tyler K. Perrachione,et al.  Neural characteristics of successful and less successful speech and word learning in adults , 2007, Human brain mapping.

[9]  Hermann Ackermann,et al.  The contribution of the insula to motor aspects of speech production: A review and a hypothesis , 2004, Brain and Language.

[10]  S. Rombouts,et al.  Consistent resting-state networks across healthy subjects , 2006, Proceedings of the National Academy of Sciences.

[11]  Jean-François Démonet,et al.  Lexical learning of the English language: a PET study in healthy French subjects , 2004, NeuroImage.

[12]  Caterina Breitenstein,et al.  Development and validation of a language learning model for behavioral and functional-imaging studies , 2002, Journal of Neuroscience Methods.

[13]  Neil A. Macmillan,et al.  Detection Theory: A User's Guide , 1991 .

[14]  Matthew H. Davis,et al.  Learning and Consolidation of Novel Spoken Words , 2009, Journal of Cognitive Neuroscience.

[15]  C. Pallier,et al.  Left insula activation: a marker for language attainment in bilinguals. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[16]  Neil A. Macmillan,et al.  Detection theory: A user's guide, 2nd ed. , 2005 .

[17]  Peter A. Bandettini,et al.  Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI , 2006, NeuroImage.

[18]  A. Mechelli,et al.  Anatomical Traces of Vocabulary Acquisition in the Adolescent Brain , 2007, The Journal of Neuroscience.

[19]  Matti Laine,et al.  Naming of newly learned objects: a PET activation study. , 2005, Brain research. Cognitive brain research.

[20]  A. Baddeley,et al.  The phonological loop as a language learning device. , 1998, Psychological review.

[21]  V. Haughton,et al.  Mapping functionally related regions of brain with functional connectivity MR imaging. , 2000, AJNR. American journal of neuroradiology.

[22]  N. Tzourio-Mazoyer,et al.  Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.

[23]  E. Bullmore,et al.  Neurophysiological architecture of functional magnetic resonance images of human brain. , 2005, Cerebral cortex.

[24]  R. Passingham,et al.  Changes of cortico-striatal effective connectivity during visuomotor learning. , 2002, Cerebral cortex.

[25]  M. Just,et al.  Functional connectivity in a baseline resting-state network in autism , 2006, Neuroreport.

[26]  M. Lowe,et al.  Functional Connectivity in Single and Multislice Echoplanar Imaging Using Resting-State Fluctuations , 1998, NeuroImage.

[27]  Gui Xue,et al.  Neural predictors of auditory word learning , 2008, Neuroreport.

[28]  N. Dronkers A new brain region for coordinating speech articulation , 1996, Nature.

[29]  Bradley R. Buchsbaum,et al.  The Search for the Phonological Store: From Loop to Convolution , 2008, Journal of Cognitive Neuroscience.

[30]  Richard S. J. Frackowiak,et al.  The neural correlates of the verbal component of working memory , 1993, Nature.

[31]  Yuan Zhou,et al.  Widespread functional disconnectivity in schizophrenia with resting-state functional magnetic resonance imaging , 2006, Neuroreport.

[32]  Thomas Wolbers,et al.  Hippocampus activity differentiates good from poor learners of a novel lexicon , 2005, NeuroImage.

[33]  A. Yamadori,et al.  Left precentral gyrus and Broca's aphasia , 1989, Neurology.

[34]  Tianzi Jiang,et al.  Altered resting-state functional connectivity patterns of anterior cingulate cortex in adolescents with attention deficit hyperactivity disorder , 2006, Neuroscience Letters.

[35]  K J Friston,et al.  The predictive value of changes in effective connectivity for human learning. , 1999, Science.

[36]  Vinod Menon,et al.  Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[37]  Karl J. Friston,et al.  Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets , 1993, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[38]  E E Smith,et al.  Components of verbal working memory: evidence from neuroimaging. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[39]  G L Shulman,et al.  INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .

[40]  Doris-Eva Bamiou,et al.  The insula (Island of Reil) and its role in auditory processing Literature review , 2003, Brain Research Reviews.

[41]  D. Margulies,et al.  Regional Variation in Interhemispheric Coordination of Intrinsic Hemodynamic Fluctuations , 2008, The Journal of Neuroscience.

[42]  M. N. Rajah,et al.  Interactions of prefrontal cortex in relation to awareness in sensory learning. , 1999, Science.

[43]  Christine Dimroth,et al.  What word-level knowledge can adult learners acquire after minimal exposure to a new language? , 2012 .

[44]  J. Mazziotta,et al.  Cracking the Language Code: Neural Mechanisms Underlying Speech Parsing , 2006, The Journal of Neuroscience.

[45]  Riitta Salmelin,et al.  Learning new names for new objects: Cortical effects as measured by magnetoencephalography , 2004, Brain and Language.