Computational protocol: Insight into the neurophysiological processes of melodically intoned language with functional MRI

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Protocol publication

[…] All fMRI data were analyzed within the context of the General Linear Model (GLM), by modeling the experimental conditions convolved with the hemodynamic response function (HRF), corrected for temporal autocorrelation and filtered with a high-pass filter of 128 sec cutoff. The neutral conditions were not modeled and served as an implicit baseline. To account for the sparse sampling acquisition, we defined the micro time resolution and onset based on the time bin that corresponded to the middle of the actual acquisition time (1500 ms). Motion parameters were included in the model as regressors of no interest to reduce the potential confounding effects due to motion. Because of the significantly longer duration of the melodically intoned versus the spoken stimuli, stimulus duration was modeled as an additional regressor of no interest to account for confounding stimulus duration effects. The individual t-contrast images for spoken-sense, spoken-nonsense, melodic-sense, and melodic-nonsense were used to perform a full-factorial ANOVA group analysis (n = 19 participants). The two within-subject factors, prosody and lexical-semantic information (equal variance, levels not independent), were entered in this analysis. Main effects as well as the interaction between these factors were investigated. The following contrasts were created to evaluate the main effects of lexical-semantic information: sense > nonsense and nonsense > sense; and of acoustic information: spoken > melodic and melodic > spoken. Interaction effects for acoustic information with lexical-semantic information were explored with the following contrasts: spoken-sense versus spoken-nonsense, melodic-sense versus melodic-nonsense, spoken-sense versus melodic-sense, and spoken-nonsense versus melodic-nonsense. The threshold for significance was set at P < 0.05 family wise error (FWE) corrected for multiple comparisons.Anatomical labeling of significantly activated clusters was performed using the Automated Anatomical Labeling map (Tzourio-Mazoyer et al. ) software extension to SPM8, using the extended local maxima labeling option. Figures were created with the SPM render function. […]

Pipeline specifications

Software tools AAL, SPM
Applications Magnetic resonance imaging, Functional magnetic resonance imaging
Organisms Homo sapiens
Diseases Brain Diseases