Electroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition study
Electroconvulsive therapy: Connectivity networks reveal good candidates for brain stimulation Connectivity patterns in the brain may help identify patients with schizophrenia most likely to benefit from electroconvulsive therapy. A team led by Lin Lu from Peking University, China, and Yong Fan from...
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Nature Portfolio
2017
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oai:doaj.org-article:9c0a5f4edc9b442a9171849dad01cc492021-12-02T16:19:50ZElectroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition study10.1038/s41537-017-0023-72334-265Xhttps://doaj.org/article/9c0a5f4edc9b442a9171849dad01cc492017-05-01T00:00:00Zhttps://doi.org/10.1038/s41537-017-0023-7https://doaj.org/toc/2334-265XElectroconvulsive therapy: Connectivity networks reveal good candidates for brain stimulation Connectivity patterns in the brain may help identify patients with schizophrenia most likely to benefit from electroconvulsive therapy. A team led by Lin Lu from Peking University, China, and Yong Fan from the University of Pennsylvania, USA, took functional magnetic resonance imaging (MRI) scans of 34 people with schizophrenia and 34 control individuals without mental illness. Those with schizophrenia were scanned before and after treatment; some received antipsychotics alone, others received medication plus electroconvulsive therapy. The researchers created organizational brain maps known as “intrinsic connectivity networks” for each individual, and showed that the neuroimaging pattern could discriminate between people with and without schizophrenia. For the schizophrenia patients, the connectivity networks taken prior to treatment also helped predict who would benefit from the brain-stimulation procedure. Such a biomarker could prove a useful diagnostic tool for clinicians.Peng LiRi-xing JingRong-jiang ZhaoZeng-bo DingLe ShiHong-qiang SunXiao LinTeng-teng FanWen-tian DongYong FanLin LuNature PortfolioarticlePsychiatryRC435-571ENnpj Schizophrenia, Vol 3, Iss 1, Pp 1-9 (2017) |
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Psychiatry RC435-571 |
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Psychiatry RC435-571 Peng Li Ri-xing Jing Rong-jiang Zhao Zeng-bo Ding Le Shi Hong-qiang Sun Xiao Lin Teng-teng Fan Wen-tian Dong Yong Fan Lin Lu Electroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition study |
| description |
Electroconvulsive therapy: Connectivity networks reveal good candidates for brain stimulation Connectivity patterns in the brain may help identify patients with schizophrenia most likely to benefit from electroconvulsive therapy. A team led by Lin Lu from Peking University, China, and Yong Fan from the University of Pennsylvania, USA, took functional magnetic resonance imaging (MRI) scans of 34 people with schizophrenia and 34 control individuals without mental illness. Those with schizophrenia were scanned before and after treatment; some received antipsychotics alone, others received medication plus electroconvulsive therapy. The researchers created organizational brain maps known as “intrinsic connectivity networks” for each individual, and showed that the neuroimaging pattern could discriminate between people with and without schizophrenia. For the schizophrenia patients, the connectivity networks taken prior to treatment also helped predict who would benefit from the brain-stimulation procedure. Such a biomarker could prove a useful diagnostic tool for clinicians. |
| format |
article |
| author |
Peng Li Ri-xing Jing Rong-jiang Zhao Zeng-bo Ding Le Shi Hong-qiang Sun Xiao Lin Teng-teng Fan Wen-tian Dong Yong Fan Lin Lu |
| author_facet |
Peng Li Ri-xing Jing Rong-jiang Zhao Zeng-bo Ding Le Shi Hong-qiang Sun Xiao Lin Teng-teng Fan Wen-tian Dong Yong Fan Lin Lu |
| author_sort |
Peng Li |
| title |
Electroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition study |
| title_short |
Electroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition study |
| title_full |
Electroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition study |
| title_fullStr |
Electroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition study |
| title_full_unstemmed |
Electroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition study |
| title_sort |
electroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition study |
| publisher |
Nature Portfolio |
| publishDate |
2017 |
| url |
https://doaj.org/article/9c0a5f4edc9b442a9171849dad01cc49 |
| work_keys_str_mv |
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| _version_ |
1718384187842494464 |