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Related Concept Videos

Higher Mental Functions of the Brain: Language01:10

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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
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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.
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Related Experiment Video

Updated: Mar 24, 2026

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
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Network dysfunction predicts speech production after left hemisphere stroke.

Fatemeh Geranmayeh1, Robert Leech2, Richard J S Wise2

  • 1From the Computational Cognitive and Clinical Neuroimaging Laboratory, Imperial College, Hammersmith Hospital Campus, London, UK. fatemeh.geranmayeh00@imperial.ac.uk.

Neurology
|March 11, 2016
PubMed
Summary
This summary is machine-generated.

Speech recovery after stroke involves complex interactions between brain networks, not just local function restoration. Differential activity between the default mode and fronto-temporo-parietal networks predicts language performance.

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Area of Science:

  • Neuroscience
  • Cognitive Neurology
  • Neuroimaging

Background:

  • Aphasic stroke impacts speech production by affecting brain network function.
  • Understanding the neural basis of speech recovery is crucial for effective rehabilitation.

Purpose of the Study:

  • To investigate the role of distributed brain networks (default mode, fronto-temporo-parietal, cingulo-opercular) in speech production post-aphasic stroke.
  • To determine how functional connectivity within and between these networks relates to language performance.

Main Methods:

  • Observational functional MRI study comparing stroke patients to healthy controls during picture description.
  • Utilized independent component and psychophysiological interaction analyses to assess functional connectivity.
  • Controlled for lesion volume, age, sex, and education in analyses.

Main Results:

  • Individual network activity did not predict speech production.
  • Relative activity between networks significantly predicted language performance, outperforming lesion volume predictions.
  • Differential activity between the default mode network and fronto-temporo-parietal networks was a key predictor.
  • Altered functional connectivity was observed between these networks in patients.

Conclusions:

  • Speech production relies on intricate interactions among distributed brain networks.
  • Stroke recovery involves more than restoring local functions; it depends on interactions between domain-specific and domain-general systems.
  • Current models of recovery need to incorporate the interplay of remaining networks and regulatory systems.