Please assess the completion status of the following clinical trial:

Trial Title: Use of Multiple Brain Imaging Modalities (PET and MRS) to Identify Metabolic Abnormalities in Major Depression

Study Design Characteristics:
- Allocation: None
- Intervention Model: None
- Observational Model: CASE_CONTROL
- Primary Purpose: None
- Time Perspective: CROSS_SECTIONAL
- Masking: None
- Phase: None
- Number of Arms: None

Eligibility Criteria:
Inclusion Criteria:~* Meet DSM-IV criteria for Major Depressive Disorder (MDD), Recurrent~* Montgomery-Asberg Depression Rating Scale (MADRS) score \> 18~Exclusion Criteria:~* Any coexisting psychiatric illness other than generalized anxiety disorder, panic disorder, or social/specific phobias~* Any history of substance dependence~* Substance abuse within the past 6 months~* Significant risk of suicide, as defined by score \>4 on item 10 of the MADRS or in the clinical judgment of the study physician~* Any significant medical or neurological condition which is likely to impact the central nervous system and/or affect the results of MRS or PET imaging~* For the subset of unmedicated MDD patients, any psychotropic medications within 4 weeks prior to scanning. For the subgroup of medicated patients, they may be taking a stable dose (i.e., same dose for at least 4 weeks at the time of scanning) of standard antidepressant medications, but may not be taking any other psychotropic medication.~* Inability to give informed consent~* Contraindication to MRI (e.g., pacemaker, ferromagnetic implants in the body)

- Gender: ALL
- Minimum Age: 18 Years
- Maximum Age: 55 Years
- Healthy Volunteers: t

Study Arms:
- Depressed, unmedicated (Type: None): Participants with MDD who are not treated with any antidepressant medication
- Depressed, on antidepressant (Type: None): Participants with MDD, currently depressed but on a stable dose of an SSRI antidepressant
- Healthy control (Type: None): Healthy participant with no MDD or other psychiatric condition, matched by age and gender to MDD participants

Based on this trial design, predict the completion outcome and termination type (if applicable).