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

Mobile Phone Addiction, Perceived Stress, and Morningness-Eveningness Preference in Nursing Students: A Computer-Simulated Network Analysis.

Journal of nursing management·2026

Same author

National Acceptance and Determinants of Immersive Extended Reality in Health Care in China: Cross-Sectional Study.

Journal of medical Internet research·2026

Same author

Effects of Acceptance and Commitment Therapy on Death Anxiety in Cancer Survivors: A Randomized Controlled Trial.

Psycho-oncology·2026

Same author

"When Rest Feels Wrong": A Qualitative Study of Rest Intolerance Among Nursing Interns and Implications for Workforce Resilience.

Journal of nursing management·2026

Same author

Social support, resilience, and demoralization in patients with breast cancer: a moderated network analysis.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer·2026

Same author

Trends and Core Competence Shifts in Nurses' Infectious Disease Emergency Response Competence Across COVID-19 Pandemic Phases: Repeated Cross-Sectional Survey and Network Analysis.

JMIR public health and surveillance·2026

Search research articles

Related Experiment Video

Updated: May 13, 2025

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

Associations Between Brain Structural Connectivity and 1-Year Demoralization in Breast Cancer: A Longitudinal

Mu Zi Liang¹, Peng Chen², Ying Tang³

¹Guangdong Academy of Population Development, Guangzhou, China.

Depression and Anxiety

|April 14, 2025

Summary

This summary is machine-generated.

Brain connectivity, specifically in the inferior fronto-occipital fasciculus (IFOF), can predict 1-year demoralization in breast cancer patients. This finding offers a potential new neuromarker for early intervention.

Keywords:

DTI be resilient to breast cancer brain structural connectivity breast cancer correlational tractography demoralization

More Related Videos

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

Brain Imaging Investigation of the Neural Correlates of Emotion Regulation

Brain Imaging Investigation of the Neural Correlates of Emotion Regulation

Published on: August 26, 2011

Related Experiment Videos

Last Updated: May 13, 2025

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

Brain Imaging Investigation of the Neural Correlates of Emotion Regulation

Brain Imaging Investigation of the Neural Correlates of Emotion Regulation

Published on: August 26, 2011

Area of Science:

Neuroscience
Oncology
Psychiatry

Background:

Demoralization is a significant concern for breast cancer patients.
Understanding predictors of demoralization is crucial for timely support.

Purpose of the Study:

To investigate the association between brain structural connectivity and 1-year demoralization in newly diagnosed breast cancer patients.
To identify potential neural biomarkers for predicting demoralization.

Main Methods:

Utilized diffusion tensor imaging (DTI) to assess brain structural connectivity in breast cancer patients.
Employed correlational tractography to identify neural pathways linked to demoralization.
Evaluated the predictive value of Quantitative Anisotropy (QA) from white matter tracts.

Main Results:

21.2% of patients reported increased demoralization after 1 year.
The inferior fronto-occipital fasciculus (IFOF) showed a significant association with 1-year demoralization.
QA from IFOF demonstrated incremental predictive value over the TNM staging model.

Conclusions:

Anisotropy in the IFOF serves as a potential neuromarker for predicting 1-year demoralization in breast cancer patients.
This research may lead to improved early detection and intervention strategies for psychological distress in cancer care.