Strength of resting state functional connectivity and local GABA concentrations predict oral reading of real and pseudo-words

• Authors: Lisa C. Krishnamurthy, Georgia State University; Venkatagiri Krishnamurthy, Emory University; Bruce Crosson, Emory University; Douglas L. Rothman, Yale University; Dina M. Schwam, Georgia State University; Daphne Greenberg, Georgia State University; Kenneth R. Pugh, Yale University; Robin D. Morris, Georgia State University
• Journal Title: Scientific Reports
• Volume: Volume 9, Number 1
• Publisher: Nature Research (part of Springer Nature): Fully open access journals | 2019-08-06, Pages 11385-11385
• Type of Work: Article | Final Publisher PDF
• Publisher DOI: http://doi.org/10.1038/s41598-019-47889-9
• Subjects: Biology, Neuroscience; Psychology, Cognitive; Engineering, Biomedical
• Keywords: Science & Technology; Multidisciplinary Sciences; Science & Technology - Other Topics; LONG-TERM POTENTIATION; NON-GAUSSIAN SOURCES; SPATIAL CORRELATION; BRAIN; FMRI; DYSLEXIA; NETWORKS; QUANTITATION; ORTHOGRAPHY; DISRUPTION

Abstract

Reading is a learned activity that engages multiple cognitive systems. In a cohort of typical and struggling adult readers we show evidence that successful oral reading of real words is related to gamma-amino-butyric acid (GABA) concentration in the higher-order language system, whereas reading of unfamiliar pseudo-words is not related to GABA in this system. We also demonstrate the capability of resting state functional connectivity (rsFC) combined with GABA measures to predict single real word compared to pseudo-word reading performance. Results show that the strength of rsFC between left fusiform gyrus (L-FG) and higher-order language systems predicts oral reading behavior of real words, irrespective of the local concentration of GABA. On the other hand, pseudo-words, which require grapheme-to-phoneme conversion, are not predicted by the connection between L-FG and higher-order language system. This suggests that L-FG may have a multi-functional role: lexical processing of real words and grapheme-to-phoneme processing of pseudo-words. Additionally, rsFC between L-FG, pre-motor, and putamen areas are positively related to the oral reading of both real and pseudo-words, suggesting that text may be converted into a phoneme sequence for speech initiation and production regardless of whether the stimulus is a real word or pseudo-word. In summary, from a systems neuroscience perspective, we show that: (i) strong rsFC between higher order visual, language, and pre-motor areas can predict and differentiate efficient oral reading of real and pseudo-words. (ii) GABA measures, along with rsFC, help to further differentiate the neural pathways for previously learned real words versus unfamiliar pseudo-words.