RT Journal Article
T1 Multiple brain networks underpinning word learning from fluent speech revealed by independent component analysis
A1 López-Barroso, Diana
A1 Ripollés, Pablo
A1 Marco-Pallarés, Josep
A1 Mohammadi, Bahram
A1 Münte, Thomas F.
A1 Bachoud-Lévi, Anne-Catherine
A1 Rodríguez-Fornells, Antoni
A1 De Diego-Balaguer, Ruth
K1 Aprendizaje perceptivo
AB The contribution of the different brain networks to word learning from fluent speech is still largely unknown, although neuroimaging studies using standard subtraction-based analysis have suggested that frontal and temporal regions are involved in it. However, this type of analysis cannot identify the extent of distributed networks that are engaged by a complex task such as word learning. Here we use Independent Component Analysis (ICA) – a multivariate approach – to characterize the different brain networks subserving word learning from an artificial language speech stream containing novel words.  Four spatially independent networks were associated with the task: (i) a dorsal Auditory-Premotor network; (ii) a dorsal Sensory-Motor network; (iii) a dorsal Fronto-Parietal network; and (iv) a ventral Fronto-Temporal network. A further, fine-grained analysis of the network level of engagement across time showed that the engagement of these networks varied through the learning period with only the network covering auditory and motor areas being engaged across all blocks. In addition, the connectivity strength of this network in the first and second blocks correlated with the individual variability in word learning performance. These findings obtained with a data-driven approach suggest that: (i) word learning relies on segregated connectivity patterns involving dorsal and ventral networks; and (ii) specifically, the dorsal auditory-premotor network connectivity strength is directly correlated with word learning performance.
PB Elsevier
YR 2015
FD 2015-04-15
LK https://hdl.handle.net/10630/45610
UL https://hdl.handle.net/10630/45610
LA eng
NO López-Barroso D, Ripollés P, Marco-Pallarés J, Mohammadi B, Münte TF, Bachoud-Lévi AC, Rodriguez-Fornells A, de Diego-Balaguer R. (2015). Multiple brain networks underpinning word learning from fluent speech revealed by independent component analysis. Neuroimage, 110:182-93. doi: 10.1016/j.neuroimage.2014.12.085.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 3 mar 2026