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

Alzheimer's Disease: Overview

Alzheimer's Disease: Overview

Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...

You might also read

Related Articles

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

Sort by

Same author

A BODIPY-based nanotheranostic suppresses osteosarcoma via dual photodynamic/photothermal action by disruption of YAP1/β-catenin Axis.

Journal of photochemistry and photobiology. B, Biology·2026

Same author

[Two cases of lipid pneumonia with tachypnea in children and literature review].

Zhonghua wei zhong bing ji jiu yi xue·2026

Same author

Cardiopulmonary resuscitation knowledge and intention among kindergarten staff in china: a cross-sectional study.

Frontiers in public health·2026

Same author

Sex effects on cortical alterations in infants with complex congenital heart disease.

Cerebral cortex (New York, N.Y. : 1991)·2025

Same author

Two Neuroanatomical Subtypes in Fibromyalgia Patients: Distinct Morphological Patterns and Treatment Outcomes.

CNS neuroscience & therapeutics·2025

Same author

A radiomics-based brain network in T1 images: construction, attributes, and applications.

Cerebral cortex (New York, N.Y. : 1991)·2024

Search research articles

Related Experiment Video

Updated: Sep 6, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

A Multi-Modal and Multi-Atlas Integrated Framework for Identification of Mild Cognitive Impairment.

Zhuqing Long^1,2, Jie Li¹, Haitao Liao¹

¹Medical Apparatus and Equipment Deployment, Hunan Children's Hospital, Changsha 410007, China.

|June 24, 2022

Summary

This study shows that combining structural MRI and functional MRI data from multiple brain atlases can accurately differentiate mild cognitive impairment (MCI) from healthy controls (HC). This multi-modal, multi-atlas approach improves diagnostic accuracy for MCI.

Keywords:

Hurst exponent appropriate atlas gray matter volume mild cognitive impairment multi-modal neuroimaging support vector machine

More Related Videos

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease

Published on: October 13, 2016

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients

Published on: December 16, 2022

Related Experiment Videos

Last Updated: Sep 6, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease

Published on: October 13, 2016

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients

Published on: December 16, 2022

Area of Science:

Neuroimaging
Medical Diagnostics
Machine Learning

Background:

Accurate differentiation between mild cognitive impairment (MCI) and healthy controls (HC) is crucial.
Multi-modal neuroimaging combined with appropriate brain atlases is vital for this differentiation.

Purpose of the Study:

To develop and evaluate a multi-modal, multi-atlas neuroimaging approach for classifying MCI patients.
To compare the performance of integrated multi-modal and multi-atlas features against single-modal or single-atlas approaches.

Main Methods:

Collected resting-state functional MRI (rs-fMRI) and structural MRI (sMRI) data from 69 MCI patients and 61 HC subjects.
Extracted gray matter volumes (sMRI) and Hurst exponent values (rs-fMRI) using AAL-90, BN-246, HOA-112, and AAL3-170 atlases.
Employed feature selection algorithms and a support vector machine (SVM) classifier with leave-one-out cross-validation (LOOCV).

Main Results:

The integrated multi-modal and multi-atlas method achieved 92.00% accuracy, 94.92% specificity, and 89.39% sensitivity.
Optimal performance was observed using sMRI from the AAL-90 atlas and fMRI from the HOA-112 atlas.
This combined approach significantly outperformed single-modal or single-atlas methods.

Conclusions:

The study demonstrates the effectiveness of integrating multi-modal neuroimaging data with multiple brain atlases for MCI classification.
This approach shows potential for extension to diagnosing other neurological and neuropsychiatric disorders.