Inferior Longitudinal Fasciculus’ Role in Visual Processing and Language Comprehension: A Combined MEG-DTI Study

Jiwon Shin, Jared Rowley, Rasheda Chowdhury, Pierre Jolicoeur, Denise Klein, Christophe Grova, Pedro Rosa-Neto, Eliane Kobayashi

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Abstract

The inferior longitudinal fasciculus (ILF) is a white matter tract that connects the occipital and the temporal lobes. ILF abnormalities have been associated with deficits in visual processing and language comprehension in dementia patients, thus suggesting that its integrity is important for semantic processing. However, it remains elusive whether ILF microstructural organization per se impacts the visual semantic processing efficiency in the healthy brain. The present study aims to investigate whether there is an association between ILF’s microstructural organization and visual semantic processing at the individual level. We hypothesized that the efficiency of visual semantic processing positively correlates with the degree of anisotropy of the ILF. We studied 10 healthy right-handed subjects. We determined fractional anisotropy (FA) of the ILF using diffusion tensor imaging (DTI). We extracted N400m latency and amplitude from magnetoencephalography (MEG) signals during a visual semantic decision task. N400m and mean FA of the ILF were left lateralized with the higher FA value in the left hemisphere. Inter-individual analysis showed that FA of the ILF negatively correlated with the N400m latency and amplitude, which suggests that high ILF anisotropy is associated with more efficient semantic processing. In summary, our findings provide supporting evidence for a role of the ILF in language comprehension.

Original languageEnglish
Article number875
JournalFrontiers in Neuroscience
Volume13
DOIs
StatePublished - 23 Aug 2019
Externally publishedYes

Keywords

  • diffusion tensor imaging
  • language comprehension
  • magnetoencephalography
  • ventral language pathway
  • white matter

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