Artikel
Language mapping by fMRI using tasks of varying complexity
Sprachkartierung mittels fMRT bei derVerwendung von Aufgaben unterschiedlicher Komplexität
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Veröffentlicht: | 8. Mai 2019 |
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Gliederung
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Objective: Functional magnetic resonance imaging (fMRI) is widely used for mapping of language areas. However, depending on the region of interest and the task design, a clear identification of language relevant areas can be challenging. We, therefore, compared different fMRI task designs, i.e., picture naming and listening to simple vs. complex sentences followed by a non-verbal semantic decision task, for delineating cortical language areas.
Methods: 20 right-handed, healthy volunteers were investigated via fMRI (3T) using a sparse-sampling design. In the picture naming task, subjects were asked to name objects by speaking out loudly a whole sentence introduced by the phrase “That is a/an…”. In the other paradigm, subjects were listening to sentences of varying complexity (simple vs. complex) followed by a semantic decision task, i.e. choosing the corresponding item out of three pictures via button press. Here, fMRI activation levels of meaningful sentences were compared to reverse sentences (control condition).
Results: The language tasks differently activated regions engaged in the language network. Of note, listening to complex sentences led to significantly higher activations during the semantic decision within the inferior frontal gyrus (IFG) and the posterior middle temporal gyrus (pMTG) as compared to simple sentences (p<0.05).
Conclusion: Our results show that the activation of language-relevant areas depends strongly on the design of the fMRI task and indicate that activation within Broca’s area (IFG) and pMTG increases with the complexity of the semantic decision. Combining picture naming and a complex semantic decision task seems to be advisable for delineating speech-related areas also in a clinical setting.