Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Robust Hybrid Plasmon-Photon Modes in Colloidal Metasurfaces Probed by Angle-Resolved SERS.

ACS applied materials & interfaces·2026

Same author

A connectome-based neural correlate of pediatric ADHD hyperactivity-impulsivity symptoms.

Frontiers in psychiatry·2026

Same author

Left-lateralized glymphatic dysfunction is associated with MoCA-measured cognitive impairment in cerebral small vessel disease: A DTI-ALPS study.

IBRO neuroscience reports·2026

Same author

Adenosquamous carcinoma of the lung: Comparative CT and pathological features versus adenocarcinoma and squamous cell carcinoma.

PloS one·2026

Same author

Multi-kingdom gut microbiota analysis identifies bacterial-viral association in multiple myeloma.

Frontiers in microbiology·2026

Same author

Measuring the Impacts of Urbanicity and Different Exposome Factors on Human Brain through Exposure Network Mapping.

Neuroscience bulletin·2026

Search research articles

Related Experiment Video

Updated: Jul 19, 2025

Basics of Multivariate Analysis in Neuroimaging Data

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

The neural correlates of individual differences in numerosity perception: A voxel-based morphometry study.

Xinyi Yuan¹, Liangping Ni^2,3, Huan Li^2,3

¹Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing 100875, China.

|August 9, 2023

Summary

Individual differences in numerosity perception are linked to variations in brain structure. Specific gray matter volumes in areas like the cerebellum and temporal lobe correlate with how sensitive people are to numerical quantities.

Keywords:

Cognitive neuroscience Neuroscience Techniques in neuroscience

More Related Videos

Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study

Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study

Published on: August 18, 2020

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Related Experiment Videos

Last Updated: Jul 19, 2025

Basics of Multivariate Analysis in Neuroimaging Data

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study

Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study

Published on: August 18, 2020

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Area of Science:

Neuroscience
Cognitive Science
Neuroanatomy

Background:

Numerosity perception is a crucial cognitive function in both humans and animals.
Understanding the neural basis of individual differences in this ability is key to cognitive neuroscience.

Purpose of the Study:

To identify the neuroanatomical correlates of individual differences in numerosity perception sensitivity.
To investigate the relationship between gray matter volume and non-symbolic numerical judgment.

Main Methods:

Employed a voxel-based morphometry analysis on a dataset of 249 individuals.
Assessed numerosity perception sensitivity using a non-symbolic numerical judgment task.

Main Results:

Positive correlations were found between gray matter volume (GMV) in the left cerebellum, right temporal pole, and right parahippocampal gyrus and higher numerosity perception sensitivity.
Negative correlations were observed between GMV in the left intraparietal sulcus and bilateral precentral/postcentral gyrus and numerosity perception sensitivity.

Conclusions:

Numerosity perception relies on a distributed network of brain structures, not a single region.
These findings support an emerging network view of numerical representation in the brain.