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Parent Language Input Prior to School Forecasts Change in Children's Language-Related Cortical Structures During Mid-Adolescence.
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Parent Language Input Prior to School Forecasts Change in Children’s Language-Related Cortical Structures During Mid-Adolescence
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In: Front Hum Neurosci (2021)
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Identifiable Patterns of Trait, State, and Experience in Chronic Stroke Recovery ...
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Identifiable Patterns of Trait, State, and Experience in Chronic Stroke Recovery ...
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Identifiable Patterns of Trait, State, and Experience in Chronic Stroke Recovery
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In: Neurorehabil Neural Repair (2020)
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Abstract:
BACKGROUND: Considerable evidence indicates that the functional connectome of the healthy human brain is highly stable, analogous to a fingerprint. OBJECTIVE: We investigated the stability of functional connectivity across tasks and sessions in a cohort of individuals with chronic stroke using a supervised machine learning approach. METHODS: Twelve individuals with chronic stroke underwent functional magnetic resonance imaging (fMRI) seven times over 18 weeks. The middle 6 weeks consisted of intensive aphasia therapy. We collected fMRI data during rest and performance of two tasks. We calculated functional connectivity metrics for each imaging run, then applied a support vector machine to classify data on the basis of participant, task, and time point (pre- or post-therapy). Permutation testing established statistical significance. RESULTS: Whole brain functional connectivity matrices could be classified at levels significantly greater than chance on the basis of participant (87.1% accuracy; p<0.0001), task (68.1% accuracy; p=0.002), and time point (72.1% accuracy; p=0.015). All significant effects were reproduced using only the contralesional right hemisphere; the left hemisphere revealed significant effects for participant and task, but not time point. Resting state data could also be used to classify task-based data according to subject (66.0%; p<0.0001). While the strongest post-therapy changes occurred among regions outside putative language networks, connections with traditional language-associated regions were significantly more positively-correlated with behavioral outcome measures, and other regions had more negative correlations and intrahemispheric connections. CONCLUSIONS: Findings suggest the profound importance of considering inter-individual variability when interpreting mechanisms of recovery in studies of functional connectivity in stroke.
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URL: http://www.ncbi.nlm.nih.gov/pubmed/33353461 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669773/ https://doi.org/10.1177/1545968320981953
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Language development and brain reorganization in a child born without the left hemisphere
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In: Cortex (2020)
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Therapy-Induced Plasticity in Chronic Aphasia Is Associated with Behavioral Improvement and Time Since Stroke
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Functional neuroanatomy of gesture-speech integration in children varies with individual differences in gesture processing
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Imitation-based aphasia therapy increases narrative content: A case series
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In: Clin Rehabil (2017)
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The dorsal and ventral streams differ in commutativity, not complexity ...
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The dorsal and ventral streams differ in commutativity, not complexity ...
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The Pace of Vocabulary Growth during Preschool Predicts Cortical Structure at School Age
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Performance Variability as a Predictor of Response to Aphasia Treatment
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Increased Modularity of Resting State Networks Supports Improved Narrative Production in Aphasia Recovery
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Sentence Understanding Depends on Contextual Use of Semantic and Real World Knowledge
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Language processing, functional magnetic resonance imaging of [encyclopaedia entry]
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Cross-linguistic variation in the neurophysiological response to semantic processing: Evidence from anomalies at the borderline of awareness
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New Evidence About Language and Cognitive Development Based on a Longitudinal Study: Hypotheses for Intervention
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