Dynamic task-specific brain network connectivity in children with severe reading difficulties

NEUROSCIENCE LETTERS

卷:488

Article

Vourkas, Michael¹  Micheloyannis, Sifis²  Simos, Panagiotis G.³  Rezaie, Roozbeh⁴  Fletcher, Jack M.⁵  Cirino, Paul T.⁵  Papanicolaou, Andrew C.⁴ 

[1] Technol Educ Inst Crete, Iraklion 71004, Crete, Greece

[2] Univ Crete, Div Med, Res Clin Neurophysiol Lab Widen, Iraklion 71409, Crete, Greece

[3] Univ Crete, Dept Psychol, Rethimnon 74100, Crete, Greece

[4] Univ Texas Hlth Sci Ctr Houston, Childrens Learning Inst, Dept Pediat, Houston, TX 77030 USA

[5] Univ Houston, Dept Psychol, Houston, TX 77204 USA

关键词: Phonological decoding;    Dyslexia;    Magnetoencephalography;    Connectivity;    Graph theory;    Small-world networks;   

DOI  :  10.1016/j.neulet.2010.11.013

来源: Elsevier

【 摘 要 】

We investigated patterns of sensor-level functional connectivity derived from single-trial whole-head magnetoencephalography data during a pseudoword reading and a letter-sound naming task in children with reading difficulties (RD) and children with no reading impairments (NI). The Phase Lag Index (PLI), a linear and nonlinear estimator, computed for each pair of sensors, was used to construct graphs and obtain estimates of local and global network efficiency according to graph theory. In the 8-13 Hz (alpha band) and 20-30 Hz (gamma band) range, RD students showed significantly lower global efficiency than NI children, for the entire MEG recording epoch. RD students also displayed reduced local network efficiency in the alpha band. Correlations between phonological decoding ability and graph metrics were particularly evident during the task that posed significant demands for phonological decoding, and followed distinct time courses depending on signal frequency. Results are consistent with the notion of task-dependent, aberrant long- and short-range functional connectivity in RD children. (C) 2010 Elsevier Ireland Ltd. All rights reserved.

【 授权许可】

Free