Mohit Saxena1, Madhuri Behari1, S Senthil Kumaran2, Vinay Goyal1, Vaishna Narang3. 1. Department of Neurology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India. 2. Department of NMR, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India. Electronic address: senthilnmr@gmail.com. 3. School of Language, Literature and Culture Studies, Jawaharlal Nehru University, New Delhi, India.
Abstract
INTRODUCTION: Speech dysfunction is often associated with parkinsonism (Parkinson's disease (PD), Multiple System Atrophy (MSA), and Progressive Supranuclear Palsy (PSP)), along with characteristic motor features. Any or all of the following i.e. respiratory, phonatory, resonatory, or articulatory components of speech production may be affected. Articulatory imprecision, repetition of syllables (tachyphrenia), and tremor of oropharyngeal structures add to speech unintelligibility. We studied acoustics using spectrogram and its correlation with BOLD activation during voice/speech production across these subjects. METHODS: BOLD studies were conducted on 108 subjects (29 PD, 20 MSA and 19 PSP and 40 controls) on 1.5 T MR scanner using 130 dynamics. Active phase involved acquisition (10 volumes each) of audible reading of visually presented bi-syllabic meaningful Hindi simple words (5 types of non-nasal stop consonant categories, i.e. namely velars, palatals, retroflexes, dentals, bilabials and one nasal stop consonant) with interleaved silence during baseline. The subjects' voice samples were analyzed for acoustic parameters, namely formant frequencies of the adjoining vowels, voice onset time (VOT), and intensities using spectrogram. Correlation of BOLD activation in different brain areas with acoustic parameters was evaluated. RESULTS: Voice intensity was significantly lowered, while VOTs were delayed in these patients as compared to healthy controls. All acoustic parameters were significantly affected for nasal consonants. BOLD activation correlated positively in primary motor cortex to VOTs, while F2 formants to activation of supplementary motor area. CONCLUSION: The differences in the acoustic quality of various stop consonants in patients may be helpful in differentiating these three parkinsonian disorders.
INTRODUCTION:Speech dysfunction is often associated with parkinsonism (Parkinson's disease (PD), Multiple System Atrophy (MSA), and Progressive Supranuclear Palsy (PSP)), along with characteristic motor features. Any or all of the following i.e. respiratory, phonatory, resonatory, or articulatory components of speech production may be affected. Articulatory imprecision, repetition of syllables (tachyphrenia), and tremor of oropharyngeal structures add to speech unintelligibility. We studied acoustics using spectrogram and its correlation with BOLD activation during voice/speech production across these subjects. METHODS: BOLD studies were conducted on 108 subjects (29 PD, 20 MSA and 19 PSP and 40 controls) on 1.5 T MR scanner using 130 dynamics. Active phase involved acquisition (10 volumes each) of audible reading of visually presented bi-syllabic meaningful Hindi simple words (5 types of non-nasal stop consonant categories, i.e. namely velars, palatals, retroflexes, dentals, bilabials and one nasal stop consonant) with interleaved silence during baseline. The subjects' voice samples were analyzed for acoustic parameters, namely formant frequencies of the adjoining vowels, voice onset time (VOT), and intensities using spectrogram. Correlation of BOLD activation in different brain areas with acoustic parameters was evaluated. RESULTS: Voice intensity was significantly lowered, while VOTs were delayed in these patients as compared to healthy controls. All acoustic parameters were significantly affected for nasal consonants. BOLD activation correlated positively in primary motor cortex to VOTs, while F2 formants to activation of supplementary motor area. CONCLUSION: The differences in the acoustic quality of various stop consonants in patients may be helpful in differentiating these three parkinsonian disorders.
Authors: Laura M Grant; Cynthia A Kelm-Nelson; Breanna L Hilby; Katherine V Blue; Eunice S Paul Rajamanickam; Joshua D Pultorak; Shelia M Fleming; Michelle R Ciucci Journal: J Neurosci Res Date: 2015-07-31 Impact factor: 4.164
Authors: Shalini Narayana; Megan B Parsons; Wei Zhang; Crystal Franklin; Katherine Schiller; Asim F Choudhri; Peter T Fox; Mark S LeDoux; Michael Cannito Journal: Neuroimage Clin Date: 2020-06-01 Impact factor: 4.881
Authors: Shalini Narayana; Crystal Franklin; Elizabeth Peterson; Eric J Hunter; Donald A Robin; Angela Halpern; Jennifer Spielman; Peter T Fox; Lorraine O Ramig Journal: Hum Brain Mapp Date: 2022-02-10 Impact factor: 5.038