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Increased Cortical-Limbic Anatomical Network Connectivity in Major Depression Revealed by Diffusion Tensor Imaging
- Source :
- PLoS ONE, Vol 7, Iss 9, p e45972 (2012), PLoS ONE
- Publication Year :
- 2012
- Publisher :
- Public Library of Science (PLoS), 2012.
-
Abstract
- Magnetic resonance imaging studies have reported significant functional and structural differences between depressed patients and controls. Little attention has been given, however, to the abnormalities in anatomical connectivity in depressed patients. In the present study, we aim to investigate the alterations in connectivity of whole-brain anatomical networks in those suffering from major depression by using machine learning approaches. Brain anatomical networks were extracted from diffusion magnetic resonance images obtained from both 22 first-episode, treatment-naive adults with major depressive disorder and 26 matched healthy controls. Using machine learning approaches, we differentiated depressed patients from healthy controls based on their whole-brain anatomical connectivity patterns and identified the most discriminating features that represent between-group differences. Classification results showed that 91.7% (patients = 86.4%, controls = 96.2%; permutation test, p
- Subjects :
- Male
Anatomy and Physiology
Emotions
Hippocampus
Neural Pathways
Limbic System
Psychology
Depression (differential diagnoses)
Brain Mapping
Multidisciplinary
medicine.diagnostic_test
Brain
Cognition
Middle Aged
Magnetic Resonance Imaging
Temporal Lobe
Diffusion Tensor Imaging
Mental Health
Medicine
Major depressive disorder
Female
Algorithms
Research Article
Tractography
Adult
medicine.medical_specialty
Neural Networks
Cognitive Neuroscience
Science
Biology
Sensitivity and Specificity
Neurological System
Artificial Intelligence
medicine
Humans
Psychiatry
Depressive Disorder, Major
Behavior
Models, Statistical
Magnetic resonance imaging
Connectomics
medicine.disease
Emotional dysregulation
Neuroanatomy
ROC Curve
Case-Control Studies
Cognition Disorders
Neuroscience
Diffusion MRI
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....baf7ebbe3a450b88ed869ba56fc98e83