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TBSS and probabilistic tractography reveal white matter connections for attention to object features

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Mayer,  Katja
Institute of Neuroscience, Newcastle University, United Kingdom;
Max Planck Research Group Neural Mechanisms of Human Communication, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Mayer, K., & Vuong, Q. (2014). TBSS and probabilistic tractography reveal white matter connections for attention to object features. Brain Structure & Function, 219(6), 2159-2171. doi:10.1007/s00429-013-0631-6.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-4DCE-C
Abstract
Selective attention to features of interest facilitates object processing in a cluttered and dynamic environment. Previous research found that distinct networks of regions across cortex are activated depending on the attended feature. These networks typically consist of posterior feature-preferring regions and anterior regions involved in attentional processes. In the current study, we investigated the role of white matter connections between the posterior and anterior regions within these networks for attention to features of novel colored dynamic objects. We asked participants to perform a 1-back feature-attention task while we acquired both functional and diffusion-weighted images. Using tract-based spatial statistics and probabilistic tractography, we found that the right superior longitudinal fasciculus (SLF) connected posterior and anterior object-processing regions and that voxels within the SLF correlated with response times on the task. Posterior and anterior regions that were anatomically connected also had increased functional connectivity relative to posterior and anterior regions that were not connected. Our results demonstrate that both functional and structural information has to be taken into account to understand selective attention and object perception.