| Literature DB >> 25498391 |
Kathrin Finke1, Julia Neitzel2, Josef G Bäuml3, Petra Redel4, Hermann J Müller4, Chun Meng5, Julia Jaekel6, Marcel Daamen7, Lukas Scheef7, Barbara Busch8, Nicole Baumann9, Henning Boecker7, Peter Bartmann8, Thomas Habekost10, Dieter Wolke11, Afra Wohlschläger3, Christian Sorg12.
Abstract
Although pronounced and lasting deficits in selective attention have been observed for preterm born individuals it is unknown which specific attentional sub-mechanisms are affected and how they relate to brain networks. We used the computationally specified 'Theory of Visual Attention' together with whole- and partial-report paradigms to compare attentional sub-mechanisms of pre- (n=33) and full-term (n=32) born adults. Resting-state fMRI was used to evaluate both between-group differences and inter-individual variance in changed functional connectivity of intrinsic brain networks relevant for visual attention. In preterm born adults, we found specific impairments of visual short-term memory (vSTM) storage capacity while other sub-mechanisms such as processing speed or attentional weighting were unchanged. Furthermore, changed functional connectivity was found in unimodal visual and supramodal attention-related intrinsic networks. Among preterm born adults, the individual pattern of changed connectivity in occipital and parietal cortices was systematically associated with vSTM in such a way that the more distinct the connectivity differences, the better the preterm adults' storage capacity. These findings provide first evidence for selectively changed attentional sub-mechanisms in preterm born adults and their relation to altered intrinsic brain networks. In particular, data suggest that cortical changes in intrinsic functional connectivity may compensate adverse developmental consequences of prematurity on visual short-term storage capacity.Entities:
Keywords: Compensation; Intrinsic brain networks; Preterm birth; Preterm born adults; Selective attention; Theory of Visual Attention
Mesh:
Year: 2014 PMID: 25498391 DOI: 10.1016/j.neuroimage.2014.11.062
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556