Predicting hemispheric dominance for language production in healthy individuals using support vector machine

Laure Zago, Pierre-Yves Hervé, Robin Genuer, Alexandre Laurent, Bernard Mazoyer, Nathalie Tzourio-Mazoyer, Marc Joliot
Hum. Brain Mapp.. 2017-09-03; 38(12): 5871-5889
DOI: 10.1002/hbm.23770

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1. Hum Brain Mapp. 2017 Dec;38(12):5871-5889. doi: 10.1002/hbm.23770. Epub 2017 Sep
3.

Predicting hemispheric dominance for language production in healthy individuals using support vector machine.

Zago L(1)(2)(3), Hervé PY(1)(2)(3), Genuer R(4)(5), Laurent A(1)(2)(3), Mazoyer B(1)(2)(3), Tzourio-Mazoyer N(1)(2)(3), Joliot M(1)(2)(3).

Author information:
(1)Université de Bordeaux, Institut des Maladies Neurodégéneratives, UMR 5293, Groupe d’Imagerie Neurofonctionnelle, F-33000 Bordeaux, France.
(2)CNRS, Institut des Maladies Neurodégéneratives, UMR 5293, Groupe d’Imagerie Neurofonctionnelle, F-33000 Bordeaux, France.
(3)CEA, Institut des Maladies Neurodégéneratives, UMR 5293, Groupe d’Imagerie Neurofonctionnelle, F-33000 Bordeaux, France.
(4)Université de Bordeaux, ISPED, Centre INSERM U-1219, F-33000 Bordeaux, France.
(5)INSERM, ISPED, Centre INSERM U-1219, F-33000 Bordeaux, France.

We used a Support Vector Machine (SVM) classifier to assess hemispheric pattern
of language dominance of 47 individuals categorized as non-typical for language
from their hemispheric functional laterality index (HFLI) measured on a sentence
minus word-list production fMRI-BOLD contrast map. The SVM classifier was trained
at discriminating between Dominant and Non-Dominant hemispheric language
production activation pattern on a group of 250 participants previously
identified as Typicals (HFLI strongly leftward). Then, SVM was applied to each
hemispheric language activation pattern of 47 non-typical individuals. The
results showed that at least one hemisphere (left or right) was found to be
Dominant in every, except 3 individuals, indicating that the « dominant » type of
functional organization is the most frequent in non-typicals. Specifically, left
hemisphere dominance was predicted in all non-typical right-handers (RH) and in
57.4% of non-typical left-handers (LH). When both hemisphere classifications were
jointly considered, four types of brain patterns were observed. The most often
predicted pattern (51%) was left-dominant (Dominant left-hemisphere and
Non-Dominant right-hemisphere), followed by right-dominant (23%, Dominant
right-hemisphere and Non-Dominant left-hemisphere) and co-dominant (19%, 2
Dominant hemispheres) patterns. Co-non-dominant was rare (6%, 2 Non-Dominant
hemispheres), but was normal variants of hemispheric specialization. In RH, only
left-dominant (72%) and co-dominant patterns were detected, while for LH, all
types were found, although with different occurrences. Among the 10 LH with a
strong rightward HFLI, 8 had a right-dominant brain pattern. Whole-brain analysis
of the right-dominant pattern group confirmed that it exhibited a functional
organization strictly mirroring that of left-dominant pattern group. Hum Brain
Mapp 38:5871-5889, 2017. © 2017 Wiley Periodicals, Inc.

© 2017 Wiley Periodicals, Inc.

DOI: 10.1002/hbm.23770
PMID: 28868791 [Indexed for MEDLINE]


Auteurs Bordeaux Neurocampus