Disorder-specific and transdiagnostic functional neuroimaging abnormalities in major depressive disorder
Abstract/Contents
- Abstract
- A large body of research using functional magnetic resonance imaging (fMRI) has documented numerous differences in neural activity between participants diagnosed with major depressive disorder (MDD) and healthy controls. It is not known, however, whether these neuroimaging abnormalities are specific to depression or are shared across multiple psychiatric disorders, including other mood and anxiety disorders, such as bipolar disorder (BPD) and generalized anxiety disorder (GAD). This study uses a voxel-wise, whole-brain, quantitative meta-analytic approach with ensemble thresholding to identify the most reliable neural abnormalities observed in functional neuroimaging studies of participants diagnosed with MDD (N = 66 studies, 2463 subjects); this study is also the first large-scale or meta-analytic comparison of individuals with depression versus individuals with other psychiatric disorders (BPD: N = 15 studies, 562 subjects; GAD: N = 15 studies, 510 subjects). The results of this study indicate several well-established findings in the neuroimaging of depression, including hyperactivity in the orbitofrontal cortex (p < 0.0001) and hypoactivity in the dorsolateral prefrontal cortex (p < 0.0001), anterior cingulate cortex (p < 0.05), and anterior insula (p < 0.001), are related reliably to depression but not to mania or anxiety and therefore should be regarded as candidates for depression-specific biomarkers. Conversely, other neural abnormalities, including hyperactive clusters in the inferior frontal gyrus (p < 0.005) and inferior parietal lobe (p < 0.025), are shared across groups of individuals with depression, mania, and anxiety and, therefore, should be regarded as transdiagnostic biomarkers of mood and anxiety disorders. Finally, several recommendations for future neuroimaging studies are offered to enable investigators to advance our understanding of the neural basis of depression by considering its relations to other psychiatric disorders and the specificity of its biomarkers.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2018; ©2018 |
| Publication date | 2018; 2018 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Miller, Chris (Chris Henry) |
|---|---|
| Degree supervisor | Gotlib, Ian H |
| Thesis advisor | Gotlib, Ian H |
| Thesis advisor | Etkin, Amit, 1976- |
| Thesis advisor | Greicius, Michael D |
| Thesis advisor | Grill-Spector, Kalanit |
| Thesis advisor | Hamilton, Paul (Jarold Paul) |
| Degree committee member | Etkin, Amit, 1976- |
| Degree committee member | Greicius, Michael D |
| Degree committee member | Grill-Spector, Kalanit |
| Degree committee member | Hamilton, Paul (Jarold Paul) |
| Associated with | Stanford University, Neurosciences Program. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Chris Miller. |
|---|---|
| Note | Submitted to the Program in Neurosciences. |
| Thesis | Thesis Ph.D. Stanford University 2018. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2018 by Chris Henry Miller
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