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

Brain Imaging01:14

Brain Imaging

612
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...
612
Bipolar Disorder01:30

Bipolar Disorder

578
Bipolar disorder is a chronic mental health condition marked by significant mood fluctuations, including episodes of mania and depression. Elevated energy levels, heightened mood or irritability, impulsive behavior, reduced sleep needs, rapid speech, racing thoughts, inflated self-esteem, and distractibility characterize mania. Individuals with bipolar disorder often alternate between depressive and manic states, with periods of emotional stability lasting an average of six months to a year.
578

You might also read

Related Articles

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

Sort by
Same author

Engineered Red Blood Cell-Derived Extracellular Vesicles With Klotho Peptide Protect the Kidney From Fibrosis.

Journal of extracellular biology·2026
Same author

Metabolic dysfunction in multiple sclerosis: Elevated lactate and impaired post-exercise creatine response in the anterior cingulate cortex.

Multiple sclerosis and related disorders·2026
Same author

Knowledge, Attitudes and Perceived Barriers to Pneumococcal Vaccination: A Cross-Sectional Survey Among Healthcare Workers and Administrative Staff at an Italian University Hospital.

Vaccines·2026
Same author

Plasma from Cardiac Surgery Patients Induces Endothelial and Tubular Epithelial Cell Damage: Potential Role in Acute Kidney Injury Development-A Preliminary Report.

International journal of molecular sciences·2026
Same author

Lipoprotein apheresis as rescue therapy in lipoprotein glomerulopathy: The role of plasmatic extracellular vesicle removal.

Journal of clinical lipidology·2026
Same author

Four Directions, One Solution: Enabling Rapid Diffusion Tensor MRI for Ultra-Low Field Using Deep Learning.

Magnetic resonance in medicine·2026

Related Experiment Video

Updated: Jan 4, 2026

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

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

Published on: July 1, 2014

15.7K

White matter abnormalities in bipolar disorder: a voxel-based diffusion tensor imaging study.

Stefania Bruno1, Mara Cercignani, Maria A Ron

  • 1Institute of Neurology, University College London, London, UK.

Bipolar Disorders
|May 3, 2008
PubMed
Summary

This study used advanced brain imaging to investigate structural white matter differences in individuals diagnosed with bipolar disorder compared to healthy participants. Researchers identified specific regions showing altered water diffusion patterns, suggesting potential underlying changes in brain connectivity. These findings provide insight into the biological basis of mood regulation challenges in this population.

Keywords:
neuroimagingwhite matter integrityfractional anisotropymean diffusivitybrain connectivity

Frequently Asked Questions

More Related Videos

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

29.1K
Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.7K

Related Experiment Videos

Last Updated: Jan 4, 2026

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

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

Published on: July 1, 2014

15.7K
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

29.1K
Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.7K

Area of Science:

  • Neuroimaging research within diffusion tensor imaging clinical diagnostics
  • Psychiatric neurobiology and mood disorder pathophysiology

Background:

No prior work had fully resolved how structural brain connectivity changes contribute to mood regulation difficulties in patients with bipolar disorder. It was already known that conventional imaging methods often fail to capture subtle tissue alterations. This gap motivated researchers to investigate white matter integrity using more sensitive techniques. Prior research has shown that fronto-subcortical circuits are frequently implicated in the pathophysiology of various psychiatric conditions. That uncertainty drove the need for advanced metrics to quantify tissue microstructure. Previous studies using different modalities have hinted at potential abnormalities in specific brain regions. However, the precise nature of these structural changes remained poorly defined in the context of bipolar illness. This investigation builds upon existing literature by applying specialized imaging to map these elusive microstructural variations.

Purpose Of The Study:

The primary aim was to explore white matter abnormalities in patients with bipolar disorder using advanced imaging techniques. Researchers sought to determine if these structural changes disrupt fronto-subcortical circuits. This investigation addressed the limitations of conventional magnetic resonance imaging in detecting subtle tissue alterations. The team intended to map these microstructural variations across the entire brain. By comparing patients to healthy controls, the study aimed to isolate disease-specific structural patterns. The researchers were motivated by the need to better understand the biological basis of mood dysregulation. They also examined whether medication usage could account for the observed structural differences. This work specifically targeted the identification of localized white matter integrity deficits in this psychiatric population.

Main Methods:

The review approach involved a comparative study design with thirty-six diagnosed patients and twenty-eight healthy controls. Participants were matched based on age and gender to ensure group comparability. Investigators utilized a 1.5T scanner to acquire diffusion-weighted echoplanar images. Data processing relied on voxel-based analysis implemented through SPM 2 software. The team explored group differences in mean diffusivity and fractional anisotropy metrics. This methodology focused on identifying localized structural variations within the brain. Researchers carefully accounted for the influence of psychiatric medications during the analysis phase. The design prioritized high-resolution detection of subtle white matter changes across the entire brain volume.

Main Results:

Key findings from the literature indicate that mean diffusivity was significantly elevated in the right posterior frontal and bilateral prefrontal white matter regions. Simultaneously, fractional anisotropy values were reduced in the inferior, middle temporal, and middle occipital areas. These structural deviations were identified through systematic voxel-based comparisons between the two study groups. The regions showing increased mean diffusivity demonstrated clear overlap with previous volumetric and magnetization transfer imaging results. These findings suggest a consistent pattern of white matter disruption in patients with bipolar disorder. The data highlight that these abnormalities are predominantly localized within fronto-temporal circuits. Statistical analysis supported the presence of these differences despite the use of mood-stabilizing medications by most participants. The results provide quantitative evidence for microstructural brain changes in this clinical population.

Conclusions:

The authors propose that white matter structural variations are detectable in patients with bipolar disorder using specialized imaging techniques. These findings suggest that fronto-temporal regions are primary sites for such microstructural alterations. The researchers hypothesize that neuronal loss or myelin changes might underlie these observed diffusion differences. The study indicates that these structural findings align with previous observations from volumetric and magnetization transfer imaging. The authors argue that medication effects are unlikely to be the primary cause of these identified abnormalities. They acknowledge that minor influences from mood stabilizers or antidepressants cannot be entirely ruled out. The results highlight the potential for advanced imaging to clarify the neuropathological basis of mood disorders. This synthesis emphasizes the need for further investigation into the specific cellular mechanisms driving these white matter changes.

The researchers identified increased mean diffusivity in the right posterior frontal and bilateral prefrontal white matter. Additionally, they observed decreased fractional anisotropy in the inferior, middle temporal, and middle occipital regions of the patient group.

The study utilized diffusion tensor imaging, an advanced technique capable of detecting subtle tissue changes that conventional magnetic resonance imaging often misses. This approach allowed for the precise mapping of water diffusion properties across the brain.

A 1.5T scanner was required to obtain the diffusion-weighted echoplanar images. This technical specification ensured consistent data acquisition across both the patient and healthy control groups.

Voxel-based analysis, specifically using SPM 2 software, served as the primary method for processing the diffusion-weighted data. This approach enabled a systematic comparison of mean diffusivity and fractional anisotropy between the two cohorts.

The researchers measured mean diffusivity and fractional anisotropy to quantify white matter integrity. These metrics provide information about the directionality and magnitude of water movement within brain tissue.

The authors propose that these findings reflect potential neuronal or axonal loss, myelin abnormalities, or alterations in axonal packing density. They suggest these factors are likely relevant to the observed neuropathology.