Functional MRI correlates of emotion regulation in major depressive disorder related to depressive disease load measured over nine years

Major Depressive Disorder (MDD) often is a recurrent and chronic disorder. We investigated the neurocognitive underpinnings of the incremental risk for poor disease course by exploring relations between enduring depression and brain functioning during regulation of negative and positive emotions using cognitive reappraisal. We used fMRI-data from the longitudinal Netherlands Study of Depression and Anxiety acquired during an emotion regulation task in 77 individuals with MDD. Task-related brain activity was related to disease load, calculated from presence and severity of depression in the preceding nine years. Additionally, we explored task related brain-connectivity. Brain functioning in individuals with MDD was further compared to 35 controls to explore overlap between load-effects and general effects related to MDD history/presence. Disease load was not associated with changes in affect or with brain activity, but with connectivity between areas essential for processing, integrating and regulating emotional information during downregulation of negative emotions. Results did not overlap with general MDD-effects. Instead, MDD was generally associated with lower parietal activity during downregulation of negative emotions. During upregulation of positive emotions, disease load was related to connectivity between limbic regions (although driven by symptomatic state), and connectivity between frontal, insular and thalamic regions was lower in MDD (vs controls). Results suggest that previous depressive load relates to brain connectivity in relevant networks during downregulation of negative emotions. These abnormalities do not overlap with disease-general abnormalities and could foster an incremental vulnerability to recurrence or chronicity of MDD. Therefore, optimizing emotion regulation is a promising therapeutic target for improving long-term MDD course.

FAbry STabilization indEX (FASTEX): Clinical evaluation of disease progression in Fabry patients

BACKGROUND

Two established scores, the Mainz Severity Score Index (MSSI) and Fabry Disease Severity Scoring System (DS3), quantify the disease burden in Fabry disease (FD), while the recent developed FAbry STabilization indEX (FASTEX) aims to detect disease progression.

OBJECTIVE

MSSI, DS3 and FASTEX were compared to evaluate disease stability or progression in a prospective cohort of Fabry patients under enzyme replacement therapy (ERT).

METHODS

Disease load of 62 patients (28 [45%] females) treated with ERT (26 [42%] under agalsidase-alfa) was assessed using the current scores and re-assessed after 12 months of treatment. Fifteen (24%) patients were ERT-naïve at baseline.

RESULTS

All scores showed a correlation with each other, while MSSI and DS3 showed the strongest (Pearson r: 0.81, p < .0001). Plasma lyso-Gb3 levels in naïve patients correlated with increasing DS3 and MSSI scores (Pearson r: 0.60, p < .05; Pearson r: 0.64, p < .01; respectively), but not with the total weighted FASTEX score. Longitudinal analysis suggested a stable disease course using DS3 and MSSI. Only males long-term-treated with agalsidase-alfa presented with a slight increase of the general MSSI score (p = .0084). By contrast, the FASTEX score demonstrates that only 21 patients (33.9%) were stable, all other patients presented a disease progression. Patients with an unstable FASTEX mainly suffered from a significant loss of renal function (eGFR_creat: -2.7 ± 7.3 ml/min/1.73 m², p = .0298).

CONCLUSION

We conclude that the FASTEX seems to be a simple and user friendly, valuable tool to assess early changes in disease progression even in smaller patient cohorts and short term surveillance.

Depression in advanced cancer--assessment challenges and associations with disease load

BACKGROUND

Patients with advanced cancer commonly experience multiple somatic symptoms and declining functioning. Some highly prevalent symptoms also overlap with diagnostic symptom-criteria of depression. Thus, assessing depression in these patients can be challenging. We therefore investigated 1) the effect of different scoring-methods of depressive symptoms on detecting depression, and 2) the relationship between disease load and depression amongst patients with advanced cancer.

METHODS

The sample included 969 patients in the European Palliative Care Research Collaborative-Computer Symptom Assessment Study (EPCRC-CSA). Inclusion criteria were: incurable metastatic/locally advanced cancer and ≥ 18 years. Biomarkers and length of survival were registered from patient-records. Depression was assessed using the Patient Health Questionnaire (PHQ-9) and applying three scoring-methods: inclusive (algorithm scoring including the somatic symptom-criteria), exclusive (algorithm scoring excluding the somatic symptom-criteria) and sum-score (sum of all symptoms with a cut-off ≥ 8).

RESULTS

Depression prevalence rates varied according to scoring-method: inclusive 13.7%, exclusive 14.9% and sum-score 45.3%. Agreement between the algorithm scoring-methods was excellent (Kappa = 0.81), but low between the inclusive and sum scoring-methods (Kappa = 0.32). Depression was significantly associated with more pain (OR-range: 1.09-1.19, p < 0.001-0.04) and lower performance status (KPS-score, OR-range = 0.68-0.72, p < 0.001) irrespective of scoring-method.

LIMITATIONS

Depression was assessed using self-report, not clinical interviews.

CONCLUSIONS

The scoring-method, not excluding somatic symptoms, had the greatest effect on assessment outcomes. Increasing pain and poorer than expected physical condition should alert clinicians to possible co-morbid depression. The large discrepancy in prevalence rates between scoring-methods reinforces the need for consensus and validation of depression definitions and assessment in populations with high disease load.