Correlations Between Family History of Psychiatric Illnesses and Outcomes of Spinal Cord Stimulation-Reference-Cited by-同舟云学术

Correlations Between Family History of Psychiatric Illnesses and Outcomes of Spinal Cord Stimulation

Published:2020-07 Issue:5 Volume:23 Page:667-672
ISSN:1094-7159
Container-title:Neuromodulation: Technology at the Neural Interface
language:en
Short-container-title:Neuromodulation: Technology at the Neural Interface

Author:

Sheldon Breanna L.,Khazen Olga,Feustel Paul J.,Gechtman Guy,Rosoklija Gavril,Patel Shrey,DiMarzio Marisa,Bridger Cheyanne,Dentinger Rachel,Slyer Julia,Pilitsis Julie G.^ORCID

Publisher

Elsevier BV

Subject

Anesthesiology and Pain Medicine,Neurology (clinical),Neurology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ner.13162

Reference35 articles.

1. The economic burden of depression in the United States: how did it change between 1990 and 2000?;Greenberg;J Clin Psychiatry,2003

2. The genetics of mood disorders;Tsuang,1990

3. A population-based heritability estimate of bipolar disorder—in a Swedish twin sample;Johansson;Psychiatry Res,2019

4. The genetics of alcoholism: identifying specific genes through family studies;Edenberg;Addict Biol,2006

5. Defining alcohol-related phenotypes in humans. The collaborative study on the genetics of alcoholism;Bierut;Alcohol Res Health,2002

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Predicted Outcome of Spinal Cord Stimulation in Patients With a Psychopathological Disorder and Persistent Spinal Pain Syndrome Type 2: A Systematic Review From 2009 to 2021;Neuromodulation: Technology at the Neural Interface;2024-01

2. Psychological evaluation for neuromodulation;Neuromodulation Techniques for the Spine;2024

3. Review of the Treatments for Central Neuropathic Pain;Brain Sciences;2022-12-16

4. Spinal Cord Stimulation in Failed Back Surgery Syndrome: An Integrative Review of Quantitative and Qualitative Studies;Neuromodulation: Technology at the Neural Interface;2022-07

5. Development of Machine Learning–Based Models to Predict Treatment Response to Spinal Cord Stimulation;Neurosurgery;2022-02-22