Neuroscience 2003 Abstract
| Presentation Number: | 640.18 |
|---|---|
| Abstract Title: | Quest for biomarkers of psychiatric disorders: multi-variate analysis of magnetic resonance findings in bipolar disorder. |
| Authors: |
Seraji-Bozorgzad, N.*1
; Galloway, M.1
; Cortese, B.1
; Benitez, C.1
; Mitchell, T.1
; Glitz, D.1
; Manji, H.1
; Moore, G. J.1
1Wayne St. Univ, Detroit, MI |
| Primary Theme and Topics |
Neurological and Psychiatric Conditions - Psychiatric Disorders -- Affective disorders |
| Session: |
640. Depression: Pathology & Pathophysiology I Poster |
| Presentation Time: | Tuesday, November 11, 2003 9:00 AM-10:00 AM |
| Location: | Morial Convention Center - Hall F-I, Board # UU43 |
| Keywords: | DEPRESSION, IMAGING, SSRI, THERAPY |
Biomarkers of major depressive disorder (MDD) have remained elusive even though such markers would allow for the objective diagnosis and monitoring of treatment efficacy. Results of univariate statistical analysis to differentiate case-controlled subjects from depressed subjects, though statistically significant, leave much overlap between groups, limiting the potential of univariate statistics. Principle compoent analysis (PCA) of magnetic resonance imaging (MRI) and spectroscopy (MRS) data shows that multivariate statistics provides a clear distinction between bipolar subjects and healthy volunteers. Exp. Design: MRS and MRI morphometirc measurements @1.5T were obtained from 7 BD patients, and 7 age-matched healthy volunteers. MRS yielded absolute concentrations of N-acetyl aspartate, choline, creatine, and myo-inositol. MRI was used to measure left and right dorsolateral prefrontal cortex (DLPFC), caudate nuclei, thalamus, and amygdala volumes. PCA of the above variables is shown in the figure: PC1 vs. PC2 clearly demarcates the two subject groups. The upper left quadrant represents lower values of myo-inositol and higher DLPFC volumes and houses the majority of control subjects (○) compared to BD (x). The findings are consistent with previous MRI/MRS studies of bipolar subjects while providing a superior subject group separation. The results also support the notion that aggregate metrics, rather than a single variable, provide a more specific method for classification of putative biomarkers of psychiatric disorders.
Supported by Joe Young Rsrh Fund
Sample Citation:
[Authors]. [Abstract Title]. Program No. XXX.XX. 2003 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience, 2003. Online.
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