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

Survival Tree

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...

You might also read

Related Articles

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

Sort by

Same author

Characterization of aperiodic and theta activity in preterm infants using EEG: Insights into cerebral maturation and inter-individual variability.

Developmental cognitive neuroscience·2026

Same author

A Comparative Study of Aging and Cortical Folding in Chimpanzees and Olive Baboons.

American journal of primatology·2026

Same author

Determinants of cerebral microbleed presence and burden in CADASIL.

Cerebral circulation - cognition and behavior·2026

Same author

Ventral temporal-frontal pathways in the human brain based on diffusion MRI tractography.

NeuroImage·2026

Same author

Cerebral Amyloid Angiopathy and Risk of Dementia in Patients With Cognitive Complaint.

Neurology·2026

Same author

Universal and culture-tuned neural codes for vocal emotion: an fMRI MVPA study using Japanese and Canadian voices.

Oxford open neuroscience·2026

Search research articles

Related Experiment Video

Updated: Sep 29, 2025

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

Browsing Multiple Subjects When the Atlas Adaptation Cannot Be Achieved via a Warping Strategy.

Denis Rivière¹, Yann Leprince¹, Nicole Labra^1,2

¹Université Paris-Saclay, CEA, CNRS UMR 9027, Baobab, NeuroSpin, Gif-sur-Yvette, France.

Frontiers in Neuroinformatics

|March 21, 2022

Summary

This study introduces a new "structural" approach for brain mapping, using the Anatomist software to build and explore structural atlases. This method overcomes limitations of traditional "iconic" approaches for studying brain structure variability.

Keywords:

3D brain atlas inter-subject parcellation atlas structural approach visualization

More Related Videos

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Published on: August 23, 2017

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

Related Experiment Videos

Last Updated: Sep 29, 2025

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Published on: August 23, 2017

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

Area of Science:

Neuroimaging
Computational Neuroscience
Medical Image Analysis

Background:

Traditional brain mapping relies on
iconic
approaches using dense deformation fields.
These methods assume continuous mapping, which is not always valid, limiting the study of structures with high variability.
Cortical sulci, in particular, exhibit significant variations in size, shape, and topology, making iconic approaches inefficient.

Purpose of the Study:

To present a complementary
structural
approach for brain mapping.
To introduce Anatomist, a 3D visualization software for building, exploring, and editing structural atlases.
To address the limitations of iconic methods in studying variable brain structures like cortical sulci.

Main Methods:

Developed a
structural
atlas approach, extracting and comparing individual brain structures without deformation.
Utilized Anatomist software for building and visualizing structural atlases from multiple subjects.
Trained sulci identification algorithms using these structural atlases.

Main Results:

Demonstrated the effectiveness of the structural atlas approach for characterizing brain structure variability.
Anatomist software supports multimodal, multi-individual, and inter-species data visualization.
The software handles complex neuroimaging data, including structural object graphs and arbitrary transformations.

Conclusions:

The structural atlas approach offers a powerful alternative to iconic methods for brain mapping, especially for highly variable structures.
Anatomist is a versatile tool for building and exploring structural atlases, applicable to various neuroimaging data and research questions.
The software's generic design allows for extension and integration into other applications for diverse neuroanatomical studies.