Automatic Severity Evaluation of Articulation Disorder in Speech using Dynamic Time Warping

B, Devi Krishna; Mary, Leena; George, Anu

doi:10.1109/icmss53060.2021.9673654

Cited by 1 publication

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, we observe lateralization in certain changes between right and left hemispheres, evolutionarily dedicated to visuospatial ability (right) and language ability (left). Furthermore, these structural variations were significantly predictive of articulation disorders, the inability to produce normal speech sounds, which comprise errors of substitution, omission, distortion, and addition (33). CNV-specific brain endophenotypes also explained a small fraction of IQ variability.…”

Section: Discussionmentioning

confidence: 96%

Discovering the gene-brain-behavior link in autism via generative machine learning

Kundu,

Sair,

Sherr

et al. 2024

Sci. Adv.

View full text Add to dashboard Cite

Autism is traditionally diagnosed behaviorally but has a strong genetic basis. A genetics-first approach could transform understanding and treatment of autism. However, isolating the gene-brain-behavior relationship from confounding sources of variability is a challenge. We demonstrate a novel technique, 3D transport-based morphometry (TBM), to extract the structural brain changes linked to genetic copy number variation (CNV) at the 16p11.2 region. We identified two distinct endophenotypes. In data from the Simons Variation in Individuals Project, detection of these endophenotypes enabled 89 to 95% test accuracy in predicting 16p11.2 CNV from brain images alone. Then, TBM enabled direct visualization of the endophenotypes driving accurate prediction, revealing dose-dependent brain changes among deletion and duplication carriers. These endophenotypes are sensitive to articulation disorders and explain a portion of the intelligence quotient variability. Genetic stratification combined with TBM could reveal new brain endophenotypes in many neurodevelopmental disorders, accelerating precision medicine, and understanding of human neurodiversity.

show abstract

Section: Discussionmentioning

confidence: 96%