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22nd National Anatomy Congress, Ankara, Turkey, 13 - 17 October 2021, vol.15, no.17, pp.10-11, (Summary Text)
Objective: Parkinson’s disease is a progressive neurodegenerative disorder of the central nervous system, which may also S10 22nd National Anatomy Congress, 13–17 October 2021, Online, Turkey Anatomy • Volume 15 / Suppl 1 / October 2021 present speech and voice disorders. In this study, acoustic sound analysis of mid-to-late stage Idiopathic Parkinson patients together with volumes of certain neuroanatomic structures in retrospective MRI data were analyzed and compared with data obtained from the control group. Correlation between sound analysis and MRI data were also evaluated. Methods: Study was carried on 17 healthy controls and 19 idiopathic Parkinson patients. Sound recordings collected from both groups were analyzed with Praat software for acoustic sound analysis. Volumetric morphometric assesments were carried with MRICloud software on T1-weighted MRI images. Results: In Parkinson’s patients, there was a significant difference in jitter, jitter absolute, shimmer and noise harmonic ratio parameters compared to the control group (p<0.05). Analyzis of MRI data showed significantly lower volumes of pars triangularis, pars opercularis, superior temporal gyrus, medial temporal gyrus, temporal sulcus, lateral fissure, cingulate gyrus, basal forebrain and substantia nigra, superior longitudinal fasciculus, extreme capsule bilaterally in patient group (p<0.05). In the patient group, mean pitch value was positively correlated with bilateral basal nuclei, right superior temporal gyrus, cingulate gyrus and left superior longitudinal fasciculus, sylvian sulcus volumes (r=0.6–0.8). Additionally, left sylvian sulcus volume was negatively correlated with mean pitch and positively correlated with jitter absolute value in patient group. In the control group, caudat nuclei volume was negatively correlated with jitter and positively correlated with noise harmonic ratio. Shimmer value and volumes of examined neuroanatomical structures did not show high correlation. Conclusion: In conclusion, speech and voice disorders are accompanied with signs of atrophy in certain related neuroanatomic structures and correlations were observed among some.
Keywords: acustic voice analyze-1, voxel-based morphometry2, Parkinson disease-3, speech and voice disorder-4, neuroanatomy-5