06.07.2020

9 am

Methods session

Stability of Neuroimaging Results

1. Variability in the analysis of a single neuroimaging dataset by
many teams
2. Editorial in Brain regarding the validity of data driven fMRI research
3. Defending fMRI, Brain mapping, and discovery Science

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.

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"

fMRI Network Analysis

3. Joutsa et al. (2018). Localizing parkinsonism based on focal brain lesions. Brain, 141(8), 2445-2456.

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.

Neuroscience vs. Behavior

Krakauer et al. (2017). Neuroscience needs behavior: correcting a reductionist bias. Neuron, 93(3), 480-490.

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.

Neuromodulation

Lozano, A. M., & Lipsman, N. (2013). Probing and regulating dysfunctional circuits using deep brain stimulation. Neuron, 77(3), 406-424.

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.

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.

Neurodegenrative diseses and Neurofilament light

1. Mollenhauer, B., Dakna, M., Kruse, N., Galasko, D., Foroud, T., Zetterberg, H., ... & Graham, D. (2020). Validation of Serum Neurofilament Light Chain as a Biomarker of Parkinson's Disease Progression. Movement Disorders, 35(11), 1999-2008.
2. Disanto, G., Barro, C., Benkert, P., Naegelin, Y., Schädelin, S., Giardiello, A., ... & Vehoff, J. (2017). Serum neurofilament light: a biomarker of neuronal damage in multiple sclerosis. Annals of neurology, 81(6), 857-870.
3. Verde, F., Steinacker, P., Weishaupt, J. H., Kassubek, J., Oeckl, P., Halbgebauer, S., ... & Otto, M. (2019). Neurofilament light chain in serum for the diagnosis of amyotrophic lateral sclerosis. Journal of Neurology, Neurosurgery & Psychiatry, 90(2), 157-164.
4. Preische, O., Schultz, S. A., Apel, A., Kuhle, J., Kaeser, S. A., Barro, C., ... & Jucker, M. (2019). Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer’s disease. Nature medicine, 25(2), 277-283.

The Cerebellum

Xue, A., Kong, R., Yang, Q., Eldaief, M. C., Angeli, P. A., DiNicola, L. M., ... & Yeo, B. T. (2021). The detailed organization of the human cerebellum estimated by intrinsic functional connectivity within the individual. Journal of neurophysiology, 125(2), 358-384.

The Cerebellum

1. Deverett et al. (2019). Cerebellar disruption impairs working memory during evidence accumulation. Nat Commun 10, 3128. 

2. Maiti et al. (2021). Functional Connectivity of Vermis Correlates with Future Gait Impairments in Parkinson's Disease. Mov. Disord., 10.1002/mds.28684.

3. Schmahmann (2019). The cerebellum and cognition. Neuroscience letters, 688, 62–75.