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Related Concept Videos

Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

804
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
804
Language and Cognition01:27

Language and Cognition

343
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
343
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  3. Language, Communication And Culture
  4. Linguistics
  5. Computational Linguistics
  6. Predicting Language Function Post-stroke: A Model-based Structural Connectivity Approach

Predicting Language Function Post-Stroke: A Model-Based Structural Connectivity Approach

Franziska E Hildesheim1,2,3, Anja Ophey4, Anna Zumbansen5,6

  • 1Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada.

Neurorehabilitation and Neural Repair
|April 11, 2024

Related Experiment Videos

Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia
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Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia

Published on: July 2, 2013

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Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
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Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

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Transcranial Direct Current Stimulation tDCS of Wernicke's and Broca's Areas in Studies of Language Learning and Word Acquisition
12:49

Transcranial Direct Current Stimulation tDCS of Wernicke's and Broca's Areas in Studies of Language Learning and Word Acquisition

Published on: July 13, 2019

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View abstract on PubMed

Summary
This summary is machine-generated.

Predicting post-stroke language recovery is crucial for personalized aphasia treatment. Connectivity disruption in the language network, assessed via routine MRI, significantly improves prediction accuracy beyond traditional measures.

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Computational Biology

Background:

  • Accurate prediction of post-stroke language function is vital for tailoring rehabilitation strategies for patients with aphasia.
  • Individualized treatment plans depend on understanding a patient's unique recovery potential.

Purpose of the Study:

  • To develop a predictive framework integrating language network connectivity disruption from routine MRI into Random Forest models.
  • The goal is to enhance the prediction of language function recovery after stroke.

Main Methods:

  • Assessed language function in 76 stroke patients using Token Test, Boston Naming Test, and Semantic Verbal Fluency.
  • Calculated structural connectivity disruption by analyzing infarct masks on diffusion tensor imaging tractograms.
  • Developed multivariable Random Forest models to predict language outcomes.
Keywords:
Random Forestaphasiadiffusion tensor imagingpredictive modeling

Related Experiment Videos

Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia
10:15

Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia

Published on: July 2, 2013

17.8K
Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
13:12

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

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Transcranial Direct Current Stimulation tDCS of Wernicke's and Broca's Areas in Studies of Language Learning and Word Acquisition
12:49

Transcranial Direct Current Stimulation tDCS of Wernicke's and Broca's Areas in Studies of Language Learning and Word Acquisition

Published on: July 13, 2019

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Main Results:

  • Random Forest models demonstrated moderate to high variance explained for all language tests (e.g., 76.2% for TT at follow-up).
  • Initial language and non-verbal cognitive abilities were key predictors.
  • Language network connectivity disruption provided additional predictive value, with specific regions like the middle temporal gyrus being significant.

Conclusions:

  • Language network connectivity disruption offers significant predictive value beyond lesion characteristics and baseline function.
  • Utilizing routine clinical MRI for connectivity assessment represents a practical advancement for clinical application in stroke recovery.
stroke
structural connectivity