Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Construction and Application of Cerebral Functional Region-Based Cerebral Blood Flow Atlas Using Magnetic Resonance Imaging-Arterial Spin Labeling05:23

Construction and Application of Cerebral Functional Region-Based Cerebral Blood Flow Atlas Using Magnetic Resonance Imaging-Arterial Spin Labeling

853
This study integrated magnetic resonance imaging- arterial spin labeling images to derive cerebral blood flow (CBF) atlas for cerebral functional regions. Comparing typical healthy and chronic cerebral ischemia CBF atlases revealed significant differences in regional CBF distributions, enabling rapid, noninvasive assessments of functional CBF to assist in diagnosis and evaluate...
853
Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease09:06

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

12.6K
This paper describes a statistical model for volumetric MRI data analysis, which identifies the "change-point" when brain atrophy begins in premanifest Huntington's disease. Whole-brain mapping of the change-points is achieved based on brain volumes obtained using an atlas-based segmentation pipeline of T1-weighted...
12.6K
Automated Imaging and Analysis for the Quantification of Fluorescently Labeled Macropinosomes11:01

Automated Imaging and Analysis for the Quantification of Fluorescently Labeled Macropinosomes

3.3K
Automated assays using multi-well microplates are advantageous approaches for identifying pathway regulators by allowing the assessment of a multitude of conditions in a single experiment. Here, we have adapted the well-established macropinosome imaging and quantification protocol to a 96-well microplate format and provide a comprehensive outline for automation using a multi-mode plate...
3.3K
Developing a Cerebral Blood Flow Atlas for Blood Flow Mapping03:38

Developing a Cerebral Blood Flow Atlas for Blood Flow Mapping

518
Source: Tan, Z., et al., Construction and Application of Cerebral Functional Region-Based Cerebral Blood Flow Atlas Using Magnetic Resonance Imaging-Arterial Spin Labeling. J. Vis. Exp. (2024).This video demonstrates the method to construct a cerebral blood flow atlas by integrating magnetic resonance imaging or MRI-arterial spin labeling data with segmented brain regions, visualizing blood flow patterns, and quantifying flow levels across functional...
518
Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals07:57

Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals

8.7K
A methodology is described herein for representing anatomical imaging data within crystals. We create scaled three-dimensional models of biomedical imaging data for use in Sub-Surface Laser Engraving (SSLE) of crystal glass. This tool offers a useful complement to computational display or three-dimensionally printed models used within clinical or educational settings.
8.7K
Anatomical Positions01:11

Anatomical Positions

19.3K
In anatomy, several standard anatomical positions are used as references for describing the position and orientation of different body parts. These positions help provide a common frame of reference when discussing anatomical structures. The anatomical position is the standard reference point for describing the body's position and orientation. In this position:
The body is upright, facing forward, and standing erect.
The feet are parallel and flat on the floor.
The arms are hanging by the...
19.3K

You might also read

Related Articles

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

Sort by
Same author

Response to the correspondence regarding "age-inappropriate white matter injury reveals hidden cerebral small vessel disease burden and mortality risk".

Cerebral circulation - cognition and behavior·2026
Same author

Beyond gray matter: unveiling the critical role of white matter in Alzheimer's disease.

Progress in neuro-psychopharmacology & biological psychiatry·2026
Same author

Age-inappropriate white matter injury reveals hidden cerebral small vessel disease burden and mortality risk.

Cerebral circulation - cognition and behavior·2026
Same author

Stage-specific hippocampal network degeneration links amyloid-cognition relationships: Right subiculum as structural substrate for memory maintenance and biomarker in amyloid-positive mild cognitive impairment.

NeuroImage·2026
Same author

Association of imaging-defined brain age with disease severity and adverse outcomes in CADASIL.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Resting-state fMRI-based perfusion-timing analysis in cerebral small vessel disease: biomarker potential and mechanistic implications.

NeuroImage·2026

Related Experiment Video

Updated: Jan 19, 2026

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
05:23

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders

Published on: May 31, 2024

853

Automated anatomical labelling atlas 3.

Edmund T Rolls1, Chu-Chung Huang2, Ching-Po Lin2

  • 1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China; Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK; Oxford Centre for Computational Neuroscience, Oxford, UK.

Neuroimage
|September 16, 2019
PubMed
Summary

The Automated Anatomical Labeling atlas (AAL) has a new version, AAL3, expanding brain region definitions for neuroimaging. This enhanced atlas includes 26 new areas, improving anatomical detail for research.

Keywords:
AALAAL2AAL3Automated anatomical labelling 3Cingulate cortexHuman brainOrbitofrontal cortexSubstantia nigraThalamus

More Related Videos

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
09:06

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

12.6K
Automated Imaging and Analysis for the Quantification of Fluorescently Labeled Macropinosomes
11:01

Automated Imaging and Analysis for the Quantification of Fluorescently Labeled Macropinosomes

Published on: August 24, 2021

3.3K

Related Experiment Videos

Last Updated: Jan 19, 2026

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
05:23

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders

Published on: May 31, 2024

853
Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
09:06

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

12.6K
Automated Imaging and Analysis for the Quantification of Fluorescently Labeled Macropinosomes
11:01

Automated Imaging and Analysis for the Quantification of Fluorescently Labeled Macropinosomes

Published on: August 24, 2021

3.3K

Area of Science:

  • Neuroimaging
  • Anatomy
  • Brain Mapping

Background:

  • The Automated Anatomical Labeling (AAL) atlas has undergone revisions, with AAL2 offering an alternative orbitofrontal cortex parcellation.
  • Previous versions of the AAL atlas have been instrumental in neuroimaging research.

Purpose of the Study:

  • To introduce the third version of the Automated Anatomical Labeling atlas (AAL3).
  • To expand the anatomical definitions of brain regions for enhanced neuroimaging investigations.
  • To provide a more detailed and comprehensive brain atlas.

Main Methods:

  • Development of the AAL3 atlas, incorporating new brain areas not defined in previous versions.
  • Inclusion of 26 new areas, such as subdivisions of the anterior cingulate cortex and thalamus.
  • Integration of subcortical structures like the nucleus accumbens, substantia nigra, and ventral tegmental area.

Main Results:

  • AAL3 introduces 26 novel brain areas, significantly increasing anatomical resolution.
  • Specific new areas include subgenual, pregenual, and supracallosal anterior cingulate cortex.
  • The thalamus is subdivided into 15 distinct parts, alongside other key subcortical nuclei.

Conclusions:

  • AAL3 provides a more detailed anatomical framework for neuroimaging studies.
  • The expanded atlas facilitates more precise localization and analysis of brain activity.
  • AAL3 is available as a toolbox for SPM and compatible with MRIcron, promoting widespread adoption.