# Connectivity Predicts deep brain stimulation outcome in <scp>P</scp>arkinson disease

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/connectivity-predicts-deep-brain-stimulation-outcome-in-scp-p-scp-arkinson/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Andreas Horn,Martin M. Reich,Johannes Vorwerk,Ningfei Li,Gregor Wenzel,Qianqian Fang,Tanja Schmitz‐Hübsch,Robert Nickl,Andreas Kupsch,Jens Volkmann,Andrea A. Kühn,Michael Fox |
| Citations | 746 |
| DOI | 10.1002/ana.24974 |
| Fields | Medicine,Neuroscience |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/5880678 |
| OpenAlex ID | https://openalex.org/W2622109244 |
| PMID | 28586141 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Tanja Schmitz‐Hübsch](https://scholariq.org/researchers/tanja-schmitz-hubsch/)

## Paper journal

- [Annals of Neurology](https://scholariq.org/journals/annals-of-neurology/)

## Paper primary topic

- [Neurological disorders and treatments](https://scholariq.org/topics/neurological-disorders-and-treatments/)

## Paper topics

- [Neurological disorders and treatments](https://scholariq.org/topics/neurological-disorders-and-treatments/)
- [Transcranial Magnetic Stimulation Studies](https://scholariq.org/topics/transcranial-magnetic-stimulation-studies/)
- [Parkinson's Disease Mechanisms and Treatments](https://scholariq.org/topics/parkinson-s-disease-mechanisms-and-treatments/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.