Whole brain network effects of subcallosal cingulate deep brain stimulation for treatment-resistant depression.
Jungho ChaKi Sueng ChoiJustin K RajendraCallie L McGrathPatricio Riva-PossePaul E HoltzheimerMartijn FigeeBrian H KopellHelen S MaybergPublished in: Molecular psychiatry (2023)
Ongoing experimental studies of subcallosal cingulate deep brain stimulation (SCC DBS) for treatment-resistant depression (TRD) show a differential timeline of behavioral effects with rapid changes after initial stimulation, and both early and delayed changes over the course of ongoing chronic stimulation. This study examined the longitudinal resting-state regional cerebral blood flow (rCBF) changes in intrinsic connectivity networks (ICNs) with SCC DBS for TRD over 6 months and repeated the same analysis by glucose metabolite changes in a new cohort. A total of twenty-two patients with TRD, 17 [15 O]-water and 5 [18 F]-fluorodeoxyglucose (FDG) positron emission tomography (PET) patients, received SCC DBS and were followed weekly for 7 months. PET scans were collected at 4-time points: baseline, 1-month after surgery, and 1 and 6 months of chronic stimulation. A linear mixed model was conducted to examine the differential trajectory of rCBF changes over time. Post-hoc tests were also examined to assess postoperative, early, and late ICN changes and response-specific effects. SCC DBS had significant time-specific effects in the salience network (SN) and the default mode network (DMN). The rCBF in SN and DMN was decreased after surgery, but responder and non-responders diverged thereafter, with a net increase in DMN activity in responders with chronic stimulation. Additionally, the rCBF in the DMN uniquely correlated with depression severity. The glucose metabolic changes in a second cohort show the same DMN changes. The trajectory of PET changes with SCC DBS is not linear, consistent with the chronology of therapeutic effects. These data provide novel evidence of both an acute reset and ongoing plastic effects in the DMN that may provide future biomarkers to track clinical improvement with ongoing treatment.
Keyphrases
- deep brain stimulation
- positron emission tomography
- resting state
- functional connectivity
- computed tomography
- parkinson disease
- pet ct
- obsessive compulsive disorder
- pet imaging
- depressive symptoms
- blood pressure
- end stage renal disease
- patients undergoing
- cerebral blood flow
- sleep quality
- artificial intelligence
- drug induced
- physical activity
- deep learning
- magnetic resonance
- machine learning
- newly diagnosed
- big data
- skeletal muscle
- peritoneal dialysis
- blood brain barrier
- electronic health record
- mechanical ventilation