Journal Club
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Journal Club
The Jurnal Club Neurology (JCN) supports the regular communication and discussion of new research findings in the scientific literature in the field of neurology. We meet once per month.
There are two different kinds of sessions:
| Overview session: | 4-5 new publications are presented and briefly discussed. |
| Methods session: | One topic/paper is presented in detail and is being thouroughly discussed (especially concerning its methods). |
We will use the mailing list journalclubneurology(at)lists.uni-oldenburg.de to send out information for the preparation of each upcoming session. The table at the bottom of this website lists dates and (if already known) topics of the sessions. If you would like to be put on the mailing list, please write an informal email to Julius Kricheldorff or Jana Schill (contact information is given at the top left corner).
We invite everyone to join us!
| Date | Topic/Paper | Presenter(s) |
06.07.2020 9 am Methods session | Stability of Neuroimaging Results 1. Variability in the analysis of a single neuroimaging dataset by | Julius Kricheldorff |
10.08.2020 9 am Overview session | COVID19 - Neurological symptoms 1. Beltrán‐Corbellini et al. (2020). Acute‐onset smell and taste disorders in the context of COVID‐19: a pilot multicentre polymerase chain reaction based case–control study. European journal of neurology. 2. Mcloughlin et al. (2020). Functional and cognitive outcomes after COVID-19 delirium. medRxiv. 3. Merkler et al. (2020). Risk of Ischemic Stroke in Patients With Coronavirus Disease 2019 (COVID-19) vs Patients With Influenza. JAMA Neurol. 4. Rogers et al. (2020). Psychiatric and neuropsychiatric presentations associated with severe coronavirus infections: a systematic review and meta-analysis with comparison to the COVID-19 pandemic. The Lancet Psychiatry. | Vinuya Yogeswaran Peter Sörös Julius Kricheldorff |
14.09.2020 9 am Methods session | fMRI Network Analysis 1. Bullmore & Sporns (2009): "Complex Brain Networks: Graph Theoretical Analysis of Structural and Functional Systems" 2. Fuertinger & Simonyan (2017): "Connectome-Wide Phenotypical and Genotypical Associations in Focal Dystonia" | Jana Schill |
12.10.2020 9 am Overview session | fMRI Network Analysis 1. Fuchs et al. (2019). Preserved network functional connectivity underlies cognitive reserve in multiple sclerosis. Human Brain Mapping, 40(18), 5231-5241. 2. Gonzalez‐Escamilla et al. (2019). Cortical network fingerprints predict deep brain stimulation outcome in dystonia. Movement Disorders, 34(10), 1537-1546. 3. Joutsa et al. (2018). Localizing parkinsonism based on focal brain lesions. Brain, 141(8), 2445-2456. 4. Kaplan et al. (2019). Functional and neurochemical disruptions of brain hub topology in chronic pain. Pain, 160(4), 973–983. 5. Koirala et al. (2018). Frontal lobe connectivity and network community characteristics are associated with the outcome of subthalamic nucleus deep brain stimulation in patients with Parkinson’s disease. Brain topography, 31(2), 311-321. | Ana Paulina Garcia Jana Schill Martina Bantel Peter Sörös Julius Kricheldorff |
09.11.2020 9 am Methods session | Neuroscience vs. Behavior Krakauer et al. (2017). Neuroscience needs behavior: correcting a reductionist bias. Neuron, 93(3), 480-490. | Julius Kricheldorff |
14.12.2020 9 am Overview session | The Gut Brain Axis 1. Arzani et al. (2020). Gut-brain Axis and migraine headache: a comprehensive review. The journal of headache and pain, 21(1), 1-12. 2. Chao et al. (2020). Gut–Brain Axis: Potential Factors Involved in the Pathogenesis of Parkinson's Disease. Frontiers in Neurology, 11, 849. 3. Evrensel et al. (2020). Neuroinflammation, gut-brain axis and depression. Psychiatry investigation, 17(1), 2. 4. Tan et al. (2020). The gut–brain axis mediates sugar preference. Nature, 580(7804), 511-516. | Johannes Stalter Ana Lira Garcia Vinuya Yogeswaran Prof Karsten Witt |
18.01.2021 9 am Methods session | Neuromodulation Lozano, A. M., & Lipsman, N. (2013). Probing and regulating dysfunctional circuits using deep brain stimulation. Neuron, 77(3), 406-424. | Jana Schill |
15.02.2021 9 am Overview session | Neuromodulation 1. Mankin et al. (2021). Stimulation of the right entorhinal white matter enhances visual memory encoding in humans. Brain stimulation, 14.1, 131-140. 2. Piña-Fuentes et al. (2020). Acute effects of adaptive Deep Brain Stimulation in Parkinson’s disease. Brain stimulation, 13.6, 1507-1516. 3. Scangos et al. (2021). State-dependent responses to intracranial brain stimulation in a patient with depression. Nature Medicine, 1-3. | Charlotte Büttner Julius Kricheldorff Johannes Stalter |
15.03.2021 9 am Methods session | Fluid Biomarkers in Parkinson's Disease (Neurofilament Light) 1. Gaetani et al. (2019). Neurofilament light chain as a biomarker in neurological disorders. Journal of Neurology, Neurosurgery & Psychiatry, 90(8), 870-881. 2. Kuhle et al. (2016). Comparison of three analytical platforms for quantification of the neurofilament light chain in blood samples: ELISA, electrochemiluminescence immunoassay and Simoa. Clinical chemistry and laboratory medicine, 54(10), 1655–1661. | Ana Paulina Garcia |
| To be continued |