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Language and Cognition

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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: Jan 17, 2026

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

Mapping individual differences in intermodal coupling in neurodevelopment.

Ruyi Pan^1,2, Sarah M Weinstein³, Danni Tu^4,5

¹Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada.

Imaging Neuroscience (Cambridge, Mass.)

|September 25, 2025

Summary

This summary is machine-generated.

Developing new methods to study brain structure-function coupling is crucial for understanding neuropsychiatric disorders. Our new CEIDR method enhances statistical power and controls false positives in analyzing individual differences in brain coupling during development.

Keywords:

coupling hypothesis testing individual differences multimodal neuroimaging neurodevelopment

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Related Experiment Videos

Last Updated: Jan 17, 2026

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Published on: October 4, 2015

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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

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Published on: May 7, 2014

Area of Science:

Neuroscience
Developmental Neuroscience
Computational Neuroscience

Background:

Individual differences in brain structure-function coupling change during development.
These developmental changes may influence risk for neuropsychiatric disorders.
Current methods for quantifying and testing these individual differences are limited.

Purpose of the Study:

To address gaps in methods for testing and localizing individual differences in intermodal brain coupling.
To introduce and validate a novel statistical method, Cluster Enhancement for testing Individual Differences in ρ (CEIDR).

Main Methods:

Developed CEIDR, a method controlling for mean/variance heterogeneity and using adaptive cluster enhancement.
Compared CEIDR with existing approaches for testing individual differences in intermodal coupling.
Applied methods to analyze brain development using data from the Philadelphia Neurodevelopmental Cohort.

Main Results:

CEIDR improves statistical power and controls false positives in detecting individual differences in structure-function coupling.
Different analytical approaches test distinct hypotheses, potentially leading to varied research findings.
Illustrative applications demonstrate the practical utility of CEIDR in developmental neuroscience.

Conclusions:

CEIDR offers a rigorous approach for studying individual differences in brain structure-function coupling.
Accurate quantification of these coupling differences is essential for understanding developmental trajectories and disorder risk.
The findings highlight the importance of methodological choices in neurodevelopmental research.