Related Experiment Video
Updated: Feb 5, 2026

MRI-guided dmPFC-rTMS as a Treatment for Treatment-resistant Major Depressive Disorder
Published on: August 11, 2015
Habenular connectivity may predict treatment response in depressed psychiatric inpatients
Savannah N Gosnell1, Kaylah N Curtis1, Kenia Velasquez1
1Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston TX USA; Michael E DeBakey VA Medical Center, Houston TX, USA.
Insights
Habenula (Hb) connectivity predicts depression treatment outcomes. Specific patterns of anatomical and functional connectivity in the Hb at admission can forecast treatment resistance in patients with depression.
Area of Science:
- Neuroscience
- Psychiatry
- Medical Imaging
Background:
- The habenula (Hb) is a midbrain structure implicated in processing negative experiences and potentially contributing to psychiatric disorders like depression.
- Understanding the predictive markers for treatment response in depression is crucial for personalized medicine.
Purpose of the Study:
- To investigate whether habenular connectivity, assessed at the time of psychiatric clinic admission, can predict treatment response in patients with depression.
- To explore the relationship between specific habenular efferent connections and treatment outcomes.
Main Methods:
- Utilized diffusion tensor imaging and resting-state functional connectivity (RSFC) to assess habenular connectivity in 175 inpatients with moderate to severe depression.
- Measured depression severity using the Patient Health Questionnaire-depression module (PHQ-9) at admission and discharge.
Main Results:
- Treatment non-responders exhibited distinct patterns of habenular connectivity, including lower fractional anisotropy in right Hb afferent fibers and altered RSFC with the median raphe and locus coeruleus.
- A logistic regression model incorporating these connectivity measures significantly predicted treatment resistance, explaining 27.7% of the variance with 75% sensitivity and 71.9% specificity.
Conclusions:
- Anatomical and functional connectivity of the habenula shows potential as a predictor of treatment success in psychiatric populations.
- The findings suggest that neuroimaging of habenular pathways could aid in stratifying patients for depression treatment.
Introduction:
The habenula (Hb) is a small midbrain structure that signals negative events and may play a major role in the etiology of psychiatric disorders including depression. The lateral Hb has three major efferent connections: serotonergic raphe nuclei, noradrenergic locus coeruleus, and dopaminergic ventral tegmental area/substantia nigra compacta. We wanted to test whether Hb connectivity may be important to predict treatment outcomes in depression patients.
Methods:
We studied whether habenular connectivity at admission into a psychiatric clinic can predict treatment response. We used an inpatient sample (N = 175) to assess habenular connectivity (diffusion tensor imaging and resting state functional connectivity (RSFC) between the Hb and its targets) close to admission. In addition, we obtained the Patient Health Questionnaire-depression module (PHQ-9) close to admission and at discharge. Inpatients in the study entered the clinic with at least moderately severe depression (score 15 and up). Inpatients considered treatment resistant had scores of 9 or more at discharge.
Results:
Compared to responders, treatment non-responders had lower fractional anisotropy in the right Hb afferent fibers and lower RSFC between right Hb and median raphe, but higher RSFC between left Hb and locus coeruleus. A logistic regression model was significantly different from chance, and explained 27.7% of the variance in treatment resistance (sensitivity = 75%; specificity = 71.9%).
Discussion:
The anatomical and functional connectivity of the Hb may be a predictor of treatment success in psychiatric populations. Limitations include the Hb small size and the limited time (5 min) of resting state data obtained.
More Related Videos
04:29Vagus Nerve Stimulation As an Adjunctive Neurostimulation Tool in Treatment-resistant Depression
Published on: January 7, 2019
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
Related Concept Videos
Long-term Depression
Long-term Depression
Calcium Ion Concentration Mechanism
If over...
Freezing Point Depression and Boiling Point Elevation
The boiling point of a liquid is the temperature at which its vapor pressure is equal to ambient atmospheric pressure. Since the vapor pressure of a solution is lowered due to the presence of nonvolatile solutes, it stands to reason that the solution’s boiling point will subsequently be increased. Vapor pressure increases with temperature, and so a solution will require a higher temperature than will pure solvent to achieve any given vapor pressure, including one...
Depressants
Alcohol is a common depressant that can induce a sense of relaxation and reduced inhibition at low doses. Contrary to its occasional...
Predicting Molecular Geometry
Depression: Overview