Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Behavior and Behavior Mechanisms

Applying Machine Learning To Neuroimaging Data To Identify Predictive Models Of Reading Disorder (Rd), Spencer Low Jun 2020

Applying Machine Learning To Neuroimaging Data To Identify Predictive Models Of Reading Disorder (Rd), Spencer Low

Honors Scholar Theses

Over the last 20 years, advances in computational neuroimaging and computational power have made it feasible to create predictive models (Woo et al. Nature Neuroscience 2017). Predictive modeling is an approach that uses pattern recognition techniques (machine learning) to develop models using brain data to predict clini­cal (or educational) outcomes, differential diagnosis and subtyping, and inform development of new treatments (Doyle et al Royal Society 2015, Haynes Neuron 2015, Orrù et al. NBR 2012; Woo et al. Nature Neuroscience 2017). In recent years, machine learning algorithms have been implemented to develop a model (pattern classifier) using neuroimaging data to predict …


Neural Bases Of Phonological And Semantic Processing In Early Childhood, Avantika Mathur, Douglas H. Schultz, Yingying Wang Dr. Jan 2020

Neural Bases Of Phonological And Semantic Processing In Early Childhood, Avantika Mathur, Douglas H. Schultz, Yingying Wang Dr.

Center for Brain, Biology, and Behavior: Faculty and Staff Publications

During the early period of reading development, children gain phonological (letter-to-sound mapping) and semantic knowledge (storage and retrieval of word meaning). Their reading ability changes rapidly, accompanied by learning-induced brain plasticity as they learn to read. This study aims at identifying the neural bases of phonological and semantic processing in early childhood by using a combination of univariate and multivariate pattern analysis. Nineteen typically developing children between the age of five and seven performed visual word-level phonological (rhyming) and semantic (related meaning) judgment tasks during functional magnetic resonance imaging scans. Our multivariate analysis showed that young children with good reading …