Diffusion along the perivascular space influenced by handedness and language lateralisation
The DTI-ALPS<sub>index</sub> (diffusion tensor image analysis along the perivascular space index) has been tested in several diseases, but a limited number of studies are available in healthy normal populations. Given that some of the examined diseases show asymmetric features (e.g. Parkinson's disease, epilepsy) and considering that the DTI-ALPS<sub>index</sub> is calculated from white matter regions involved in motor and language functions, our aim was to examine whether the index is influenced by handedness and/or functional language lateralisation. Eighty-two Caucasian adults (35 males; mean age: 26.91 ± 10.17, range: 18-66 years) were included in this retrospective cross-sectional study. Handedness was assessed by the Edinburgh Handedness Inventory, while language lateralisation was determined by functional MRI at 3T using a verbal fluency paradigm. The left- and right-hemispheric as well as the bilateral DTI-ALPS indices were calculated independently by two observers. Multiple linear regression corrected for age and sex indicated that handedness was inversely related to the left ALPS<sub>index</sub> by Observer1 (<i>n</i> = 81, two-tailed <i>P</i> = 0.030) and the bilateral ALPS<sub>index</sub> by both observers (<i>n</i> = 82, <i>P</i> = 0.025 and <i>P</i> = 0.044), but not significantly related to the right ALPS<sub>index</sub>. In females, multiple linear regression corrected for age indicated that language laterality index was inversely related to the left ALPS<sub>index</sub> (<i>n</i> = 47, <i>P</i> < 0.001) and the bilateral ALPS<sub>index</sub> (<i>n</i> = 47, <i>P</i> ≤ 0.003) by both observers, but not significantly associated with the right ALPS<sub>index</sub>. In males, language laterality index was not related to any of the ALPS indices. Providing further insights into the normal DTI-ALPS patterns, our study supports the hypothesis that both language laterality and handedness can affect DTI-ALPS index that should be considered in future studies.
Authors
- Bálint Dudás (ORCID: https://orcid.org/0000-0001-6938-5816)
- Sámuel Komoly (ORCID: https://orcid.org/0000-0002-0597-3448)
- Ákos Arató
- Szilvia Anett Nagy (ORCID: https://orcid.org/0000-0001-6483-9209)
- Norbert Kovács (ORCID: https://orcid.org/0000-0002-7332-9240)
- Gergely Darnai (ORCID: https://orcid.org/0000-0002-7042-8059)
- G. Orsi (ORCID: https://orcid.org/0000-0002-9388-2967)
- Gábor Perlaki (ORCID: https://orcid.org/0000-0002-7690-6381)
- József Janszky (ORCID: https://orcid.org/0000-0001-6100-832X)
- Réka Horváth (ORCID: https://orcid.org/0000-0003-3080-3376)
- Tamás Dóczi (ORCID: https://orcid.org/0000-0002-6553-3655)
Institutions
- Pécsi Püspöki Hittudományi Főiskola (HU)
- University of Pecs (HU)
Publication Details
- Journal
- Brain Communications
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1093/braincomms/fcaf252
- Citations
- 6
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 8.16
Funders
- EU Joint Programme – Neurodegenerative Disease Research
- Hungarian Scientific Research Fund
- Magyar Tudományos Akadémia
- Nemzeti Kutatási Fejlesztési és Innovációs Hivatal
- Nemzeti Kutatási, Fejlesztési és Innovaciós Alap
- National Research, Development and Innovation Office