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Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data.
Redlich R, Opel N, Grotegerd D, Dohm K, Zaremba D, Bürger C, Münker S, Mühlmann L, Wahl P, Heindel W, Arolt V, Alferink J, Zwanzger P, Zavorotnyy M, Kugel H, Dannlowski U. Redlich R, et al. JAMA Psychiatry. 2016 Jun 1;73(6):557-64. doi: 10.1001/jamapsychiatry.2016.0316. JAMA Psychiatry. 2016. PMID: 27145449 Clinical Trial.
IMPORTANCE: Electroconvulsive therapy (ECT) is one of the most effective treatments for severe depression. However, biomarkers that accurately predict a response to ECT remain unidentified. OBJECTIVE: To investigate whether certain factors identified by struc …
IMPORTANCE: Electroconvulsive therapy (ECT) is one of the most effective treatments for severe depression. However, biomarkers …
Prediction of individual responses to electroconvulsive therapy in patients with schizophrenia: Machine learning analysis of resting-state electroencephalography.
Min B, Kim M, Lee J, Byun JI, Chu K, Jung KY, Lee SK, Kwon JS. Min B, et al. Schizophr Res. 2020 Feb;216:147-153. doi: 10.1016/j.schres.2019.12.012. Epub 2019 Dec 26. Schizophr Res. 2020. PMID: 31883932
BACKGROUND: Electroconvulsive therapy (ECT) has strong efficacy in patients with treatment refractory schizophrenia. ...To provide support for the decision to perform ECT, we aimed to predict individual responses to ECT among patients with schizophrenia using …
BACKGROUND: Electroconvulsive therapy (ECT) has strong efficacy in patients with treatment refractory schizophrenia. ...To pro …
Development and validation of a multimodal neuroimaging biomarker for electroconvulsive therapy outcome in depression: a multicenter machine learning analysis.
Bruin WB, Oltedal L, Bartsch H, Abbott C, Argyelan M, Barbour T, Camprodon J, Chowdhury S, Espinoza R, Mulders P, Narr K, Oudega M, Rhebergen D, Ten Doesschate F, Tendolkar I, van Eijndhoven P, van Exel E, van Verseveld M, Wade B, van Waarde J, Zhutovsky P, Dols A, van Wingen G. Bruin WB, et al. Psychol Med. 2024 Feb;54(3):495-506. doi: 10.1017/S0033291723002040. Epub 2023 Jul 24. Psychol Med. 2024. PMID: 37485692
BACKGROUND: Electroconvulsive therapy (ECT) is the most effective intervention for patients with treatment resistant depression. A clinical decision support tool could guide patient selection to improve the overall response rate and avoid ineffective treatmen …
BACKGROUND: Electroconvulsive therapy (ECT) is the most effective intervention for patients with treatment resistant depressio …
Local functional connectivity density is closely associated with the response of electroconvulsive therapy in major depressive disorder.
Wang J, Wei Q, Yuan X, Jiang X, Xu J, Zhou X, Tian Y, Wang K. Wang J, et al. J Affect Disord. 2018 Jan 1;225:658-664. doi: 10.1016/j.jad.2017.09.001. Epub 2017 Sep 6. J Affect Disord. 2018. PMID: 28910748
BACKGROUND: Electroconvulsive therapy (ECT) has been demonstrated to be an effective treatment of major depressive disorder (MDD). ...In addition, the identified neural indices as classification characteristics were entered into multivariate pattern analysis …
BACKGROUND: Electroconvulsive therapy (ECT) has been demonstrated to be an effective treatment of major depressive disorder (M …
Predicting individual responses to the electroconvulsive therapy with hippocampal subfield volumes in major depression disorder.
Cao B, Luo Q, Fu Y, Du L, Qiu T, Yang X, Chen X, Chen Q, Soares JC, Cho RY, Zhang XY, Qiu H. Cao B, et al. Sci Rep. 2018 Apr 3;8(1):5434. doi: 10.1038/s41598-018-23685-9. Sci Rep. 2018. PMID: 29615675 Free PMC article.
Electroconvulsive therapy (ECT) is one of the most effective treatments for major depression disorder (MDD). ...We found that ECT induced volume increases in CA subfields, GCL, ML and subiculum. We applied a machine learning algorithm to the hippocampa …
Electroconvulsive therapy (ECT) is one of the most effective treatments for major depression disorder (MDD). ...We found that …
Accounting for symptom heterogeneity can improve neuroimaging models of antidepressant response after electroconvulsive therapy.
Wade BSC, Hellemann G, Espinoza RT, Woods RP, Joshi SH, Redlich R, Dannlowski U, Jorgensen A, Abbott CC, Oltedal L, Narr KL. Wade BSC, et al. Hum Brain Mapp. 2021 Nov;42(16):5322-5333. doi: 10.1002/hbm.25620. Epub 2021 Aug 13. Hum Brain Mapp. 2021. PMID: 34390089 Free PMC article.
Depression symptom heterogeneity limits the identifiability of treatment-response biomarkers. Whether improvement along dimensions of depressive symptoms relates to separable neural networks remains poorly understood. We build on work describing three latent symptom dimens …
Depression symptom heterogeneity limits the identifiability of treatment-response biomarkers. Whether improvement along dimensions of …
[Neuronal effects and biomarkers of antidepressant treatments : Current review from the perspective of neuroimaging].
Enneking V, Dzvonyar F, Dannlowski U, Redlich R. Enneking V, et al. Nervenarzt. 2019 Mar;90(3):319-329. doi: 10.1007/s00115-019-0675-9. Nervenarzt. 2019. PMID: 30729991 Review. German.
There are numerous imaging studies showing differences in the volume of gray and white brain matter and function between patients suffering from depression and healthy controls. Neuroimaging studies show that pharmacotherapy and electroconvulsive therapy are accompa …
There are numerous imaging studies showing differences in the volume of gray and white brain matter and function between patients suffering …
Using routine MRI data of depressed patients to predict individual responses to electroconvulsive therapy.
Gärtner M, Ghisu E, Herrera-Melendez AL, Koslowski M, Aust S, Asbach P, Otte C, Regen F, Heuser I, Borgwardt K, Grimm S, Bajbouj M. Gärtner M, et al. Exp Neurol. 2021 Jan;335:113505. doi: 10.1016/j.expneurol.2020.113505. Epub 2020 Oct 14. Exp Neurol. 2021. PMID: 33068570
Electroconvulsive therapy (ECT) is one of the most effective treatments in cases of severe and treatment resistant major depression. 60-80% of patients respond to ECT, but the procedure is demanding and robust prediction of ECT responses would be of great cli …
Electroconvulsive therapy (ECT) is one of the most effective treatments in cases of severe and treatment resistant major depre …
Brain structural effects of treatments for depression and biomarkers of response: a systematic review of neuroimaging studies.
Enneking V, Leehr EJ, Dannlowski U, Redlich R. Enneking V, et al. Psychol Med. 2020 Jan;50(2):187-209. doi: 10.1017/S0033291719003660. Epub 2019 Dec 20. Psychol Med. 2020. PMID: 31858931
Antidepressive pharmacotherapy (AD), electroconvulsive therapy (ECT) and cognitive behavioural therapy (CBT) are effective treatments for major depressive disorder. ...Machine learning approaches based on pre-treatment whole brain patterns reach …
Antidepressive pharmacotherapy (AD), electroconvulsive therapy (ECT) and cognitive behavioural therapy (CBT) are effect …
12 results