COVID-19 Mental Disorders Collaborators (2021) Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic. Lancet 398(10312):1700–1712. https://doi.org/10.1016/S0140-6736(21)02143-7

Article  Google Scholar 

Qaseem A, Owens DK, Etxeandia-Ikobaltzeta I et al (2023) Nonpharmacologic and pharmacologic treatments of adults in the acute phase of major depressive disorder: a living clinical guideline from the american college of physicians [published correction appears in Ann Intern Med. 2023 Aug;176(8):1143–1144. doi: 10.7326/L23-0246]. Ann Intern Med 176(8):1143–1144. https://doi.org/10.7326/M22-2056

Voineskos D, Daskalakis ZJ, Blumberger DM (2020) Management of treatment-resistant depression: challenges and strategies. Neuropsychiatr Dis Treat 16:221–234. https://doi.org/10.2147/NDT.S198774

Article  CAS  PubMed  PubMed Central  Google Scholar 

Nygren A, Reutfors J, Brandt L, Bodén R, Nordenskjöld A, Tiger M (2023) Response to electroconvulsive therapy in treatment-resistant depression: nationwide observational follow-up study. BJPsych Open. https://doi.org/10.1192/bjo.2023.5

Article  PubMed  PubMed Central  Google Scholar 

Anand A, Mathew SJ, Sanacora G, Murrough JW, Goes FS, Altinay M, Aloysi AS, Asghar-Ali AA, Barnett BS, Chang LC, Collins KA, Costi S, Iqbal S, Jha MK, Krishnan K, Malone DA, Nikayin S, Nissen SE, Ostroff RB, Hu B (2023) Ketamine versus ECT for nonpsychotic treatment-resistant major depression. N Engl J Med 388(25):2315–2325. https://doi.org/10.1056/nejmoa2302399

Article  CAS  PubMed  Google Scholar 

Li J, Kung S, Croarkin P, Lapid M (2024) Transcranial direct current stimulation (TDCS) for treatment resistant depression (TRD): a systematic review. Am J Geriatr Psychiatry 32(4):S99. https://doi.org/10.1016/j.jagp.2024.01.181

Article  Google Scholar 

Lozano AM, Lipsman N, Bergman H et al (2019) Deep brain stimulation: current challenges and future directions. Nat Rev Neurol 15:148–160. https://doi.org/10.1038/s41582-018-0128-2

Article  PubMed  PubMed Central  Google Scholar 

Krauss JK, Lipsman N, Aziz T et al (2021) Technology of deep brain stimulation: current status and future directions. Nat Rev Neurol 17(2):75–87. https://doi.org/10.1038/s41582-020-00426-z

Article  PubMed  Google Scholar 

Targeted electrode-based (2009) Modulation of neural circuits for depression. J Clin Invest 119:717–725 Crossref, Medline, Google Scholar

Article  Google Scholar 

Conroy SK, Holtzheimer PE (2021) Neuromodulation strategies for the treatment of depression. Am J Psychiatry 178(12):1082–1088. https://doi.org/10.1176/appi.ajp.2021.21101034

Article  PubMed  Google Scholar 

Sobstyl M, Kupryjaniuk A, Prokopienko M, Rylski M (2022) Subcallosal cingulate cortex deep brain stimulation for treatment-resistant depression: a systematic review. Front Neurol. https://doi.org/10.3389/fneur.2022.780481

Article  PubMed  PubMed Central  Google Scholar 

Sobstyl M, Prokopienko M, Pietras T (2023) The ventral capsule and ventral striatum—stereotactic targets for the management of treatment-resistant depression. A systematic literature review. Front Psychiatry. https://doi.org/10.3389/fpsyt.2023.1100609

Article  PubMed  PubMed Central  Google Scholar 

Van Der Wal JM, Bergfeld IO, Lok A, Mantione M, Figee M, Notten P, Beute G, Horst F, Van Den Munckhof P, Schuurman PR, Denys D (2019) Long-term deep brain stimulation of the ventral anterior limb of the internal capsule for treatment-resistant depression. J Neurol Neurosurg Psychiatry 91(2):189–195. https://doi.org/10.1136/jnnp-2019-321758

Article  PubMed  Google Scholar 

Zhang C, Zhang Y, Luo H, Xu X, Yuan T, Li D, Cai Y, Gong H, Peng D, Fang Y, Voon V, Sun B (2022) Bilateral habenula deep brain stimulation for treatment-resistant depression: clinical findings and electrophysiological features. Transl Psychiatry. https://doi.org/10.1038/s41398-022-01818-z

Article  PubMed  PubMed Central  Google Scholar 

Figee M, Riva-Posse P, Choi KS, Bederson L, Mayberg HS, Kopell BH (2022) Deep brain stimulation for depression. Neurotherapeutics 19(4):1229–1245. https://doi.org/10.1007/s13311-022-01270-3

Article  PubMed  PubMed Central  Google Scholar 

Chandrabhatla AS, Pomeraniec IJ, Horgan TM et al (2023) Landscape and future directions of machine learning applications in closed-loop brain stimulation. Npj Digit Med 6:79. https://doi.org/10.1038/s41746-023-00779-x

Article  PubMed  PubMed Central  Google Scholar 

Stolz LA, Kohn JN, Smith SE, Benster LL, Appelbaum LG (2023) Predictive biomarkers of treatment response in major depressive disorder. Brain Sci 13(11):1570. https://doi.org/10.3390/brainsci13111570

Article  PubMed  PubMed Central  Google Scholar 

Sendi MSE, Waters AC, Tiruvadi V et al (2021) Intraoperative neural signals predict rapid antidepressant effects of deep brain stimulation. Transl Psychiatry 11:551. https://doi.org/10.1038/s41398-021-01669-0

Article  CAS  PubMed  PubMed Central  Google Scholar 

Gavin JB, Elias Jürgen, Germann A, Boutet A, Pancholi ME, Beyn K, Bhatia C, Neudorfer A, Loh SJ, Rizvi V, Bhat P, Giacobbe DB, Woodside, Sidney H, Kennedy, Andres M, Lozano (2022) Structuro-functional surrogates of response to subcallosal cingulate deep brain stimulation for depression. Brain 145(1): 362–377. https://doi.org/10.1093/brain/awab284

Coenen VA, Schlaepfer TE, Reinacher PC et al (2019) Machine learning—aided personalized DTI tractographic planning for deep brain stimulation of the superolateral medial forebrain bundle using HAMLET. Acta Neurochir 161:1559–1569. https://doi.org/10.1007/s00701-019-03947-9

Article  PubMed  Google Scholar 

Brown EC, Clark DL, Forkert ND et al (2020) Metabolic activity in subcallosal cingulate predicts response to deep brain stimulation for depression. Neuropsychopharmacol 45:1681–1688. https://doi.org/10.1038/s41386-020-0745-5

Article  CAS  Google Scholar 

De Ridder D, Maciaczyk J, Vanneste S (2021) The future of neuromodulation: smart neuromodulation. Expert Rev Med Devices 18(4):307–317. https://doi.org/10.1080/17434440.2021.1909470

Article  CAS  PubMed  Google Scholar 

Peralta M, Jannin P, Baxter JSH (2021) Machine learning in deep brain stimulation: a systematic review. Artif Intell Med 122:102198. https://doi.org/10.1016/j.artmed.2021.102198

Article  PubMed  Google Scholar 

Kalpana SA, Jha S (2022) Data-driven machine learning: a new approach to process and utilize biomedical data. Predictive Model Biomedical Data Min Anal 225–252. https://doi.org/10.1016/B978-0-323-99864-2.00017-2

Page MJ, McKenzie JE, Bossuyt PM et al (2021) The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ n71. https://doi.org/10.1136/bmj.n71

Wolff RF, Moons KGM, Riley RD et al (2018) PROBAST: a tool to assess the risk of bias and applicability of prediction model studies. Ann Intern Med 170(1):51. https://doi.org/10.7326/m18-1376

Article  Google Scholar 

Elias GJB, Germann J, Boutet A et al (2021) Structuro-functional surrogates of response to subcallosal cingulate deep brain stimulation for depression. Brain 145(1):362–377. https://doi.org/10.1093/brain/awab284

Article  Google Scholar 

Jiang Z, Harati S, Crowell A, Mayberg HS, Nemati S, Clifford GD (2020) Classifying major depressive disorder and response to deep brain stimulation over time by analyzing facial expressions. IEEE Trans Biomed Eng 68(2):664–672. https://doi.org/10.1109/tbme.2020.3010472

Article  Google Scholar 

Brown EC, Clark DL, Forkert ND, Molnar CP, Kiss ZHT, Ramasubbu R (2020) Metabolic activity in subcallosal cingulate predicts response to deep brain stimulation for depression. Neuropsychopharmacology 45(10):1681–1688. https://doi.org/10.1038/s41386-020-0745-5

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ramasubbu R, Brown EC, Mouches P et al (2024) Multimodal imaging measures in the prediction of clinical response to deep brain stimulation for refractory depression: a machine learning approach. World J Biol Psychiatry 25(3):175–187. https://doi.org/10.1080/15622975.2023.2300795

Article  PubMed  Google Scholar 

Sendi MSE, Waters AC, Tiruvadi V et al (2021) Intraoperative neural signals predict rapid antidepressant effects of deep brain stimulation. Transl Psychiatry. https://doi.org/10.1038/s41398-021-01669-0

Article  PubMed  PubMed Central  Google Scholar 

Alagapan S, Choi KS, Heisig S et al (2023) Cingulate dynamics track depression recovery with deep brain stimulation. Nature 622(7981):130–138. https://doi.org/10.1038/s41586-023-06541-3

Article  CAS  PubMed  PubMed Central  Google Scholar 

Cho Y, Lee JK, Kim DH et al (2019) Factors associated with quality of life in patients with depression: a nationwide population-based study. PLoS ONE 14(7):e0219455. https://doi.org/10.1371/journal.pone.0219455