Journal Club
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Each week, only one of the presenters in the pair takes the lead in actually presenting the paper. The other will serve as a resource. Ideally, this plays out with one of the presenters being more experienced in the topic (who can provide more technical advice) and the other being more of a newcomer (who is interested in learning more and can advise on the right level of granularity for other newcomers to the topic).
Presentations
October 18, 2021
Blanken, T. F., Bathelt, J., Deserno, M. K., Voge, L., Borsboom, D., & Douw, L. (2021). Connecting brain and behavior in clinical neuroscience: A network approach. Neuroscience & Biobehavioral Reviews, 130, 81-90.
Epskamp, S., & Fried, E. I. (2018). A tutorial on regularized partial correlation networks. Psychological methods, 23(4), 617.
October, 11, 2021
Bullmore, E., & Sporns, O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nature reviews neuroscience, 10(3), 186-198.
Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: uses and interpretations. Neuroimage, 52(3), 1059-1069.
 Kelly Martin 10/11/2021 |
 Alaina Pearce 10/18/2021 |
August 4, 2021
Fox, M. D. (2018). Mapping symptoms to brain networks with the human connectome. New England Journal of Medicine, 379(23), 2237-2245.
Boes, A. D., Prasad, S., Liu, H., Liu, Q., Pascual-Leone, A., Caviness Jr, V. S., & Fox, M. D. (2015). Network localization of neurological symptoms from focal brain lesions. Brain, 138(10), 3061-3075.
July, 21, 2021
Marshall, Emily, et al. (2020) "Coactivation pattern analysis reveals altered salience network dynamics in children with autism spectrum disorder." Network Neuroscience, 4(4), 1219-1234.
 Adnan Rashid 07/21/2021 |
Tyler Ketchabaw 08/04/2021 |
July 7, 2021
Parker, D. B., & Razlighi, Q. R. (2019). The benefit of slice timing correction in common fMRI preprocessing pipelines. Frontiers in neuroscience, 13, 821.
June, 23, 2021
Lindquist, M. A., Geuter, S., Wager, T. D., & Caffo, B. S. (2019). Modular preprocessing pipelines can reintroduce artifacts into fMRI data. Human brain mapping, 40(8), 2358-2376.
 John VanMeter 06/23/2021 |
 Adam Kaminski 07/07/2021 |
November 30, 2020
Marek, S., Tervo-Clemmens, B., Calabro, F. J., Montez, D. F., Kay, B. P., Hatoum, A. S., ... & Miranda-Dominguez, O. (2020). Towards reproducible brain-wide association studies. bioRxiv.
November 16, 2020
Hyatt, C. S., Owens, M. M., Crowe, M. L., Carter, N. T., Lynam, D. R., & Miller, J. D. (2020). The quandary of covarying: A brief review and empirical examination of covariate use in structural neuroimaging studies on psychological variables. NeuroImage, 205, 116225.
Alaina Pearce 11/16/2020 |
 Cameron McCay 11/30/2020 |
November 9, 2020
Keysers, C., Gazzola, V., Wagenmakers, E. (2020). Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence Nature Neuroscience 23(7), 788-799.
Kelly Martin 09/28/2020 |
October 26, 2020
Masouleh, S. K., Eickhoff, S. B., Hoffstaedter, F., Genon, S., & The Alzheimer's Disease Neuroimaging Initiative. (2019). Empirical examination of the replicability of associations between brain structure and psychological variables. eLife, 8, e43464.
October 19, 2020
Natu, V. S., Gomez, J., Barnett, M., Jeska, B., Kirilina, E., Jaeger, C., ... & Grill-Spector, K. (2019). Apparent thinning of human visual cortex during childhood is associated with myelination. Proceedings of the National Academy of Sciences, 116(41), 20750-20759.
 Lillian Chang 10/19/2020 |
 Shiva Hassanzadeh-Behbahani 10/26/2020 |
October 12, 2020
Nastase, S. A., Gazzola, V., Hasson, U., & Keysers, C. (2019). Measuring shared responses across subjects using intersubject correlation. Social Cognitive and Affective Neuroscience, 14(6), 669–687.
October 5, 2020
Sonkusare, S., Breakspear, M., & Guo, C. (2019). Naturalistic stimuli in neuroscience: Critically acclaimed. Trends in Cognitive Sciences, 23(8), 699-714.
Eickhoff, S. B., Milham, M., & Vanderwal, T. (2020). Towards clinical applications of movie fMRI. NeuroImage, 116860.
Cantlon, J. F. (2020). The balance of rigor and reality in developmental neuroscience. NeuroImage, 216, 116464.
 Joseph Posner 10/05/2020 |
 Shawn Rhoads 10/12/2020 |
September 28, 2020
Arnatkevic̆iūtė, A., Fulcher, B. D., & Fornito, A. (2019). A practical guide to linking brain-wide gene expression and neuroimaging data. Neuroimage, 189, 353-367.
Kelly Martin 09/28/2020 |
September 14, 2020
Ahlheim, C., & Love, B. C. (2018). Estimating the functional dimensionality of neural representations. NeuroImage, 179, 51-62.
August 31, 2020
Bertolero, M., Bassett, D. (2020). On the Nature of Explanations Offered by Network Science: A Perspective From and for Practicing Neuroscientists. Topics in Cognitive Science.
 Marissa Laws 08/31/2020 |
 Sri Damera 09/14/2020 |
August 6, 2020
D'Mello, A. M., Gabrieli, J., & Nee, D. E. (2020). Evidence for Hierarchical Cognitive Control in the Human Cerebellum. Current Biology, 30(10), 1881–1892.e3.
July 30, 2020
King, M., Hernandez-Castillo, C. R., Poldrack, R. A., Ivry, R. B., & Diedrichsen, J. (2019). Functional boundaries in the human cerebellum revealed by a multi-domain task battery. Nature Neuroscience, 22(8), 1371–1378.
 Marissa Marko 07/30/2020 |
 Laura Rice 08/06/2020 |
July 23, 2020
O’Reilly, J. X., Woolrich, M. W., Behrens, T. E., Smith, S. M., & Johansen-Berg, H. (2012). Tools of the trade: psychophysiological interactions and functional connectivity. Social Cognitive and Affective Neuroscience, 7(5), 604-609.
McLaren, D. G., Ries, M. L., Xu, G., & Johnson, S. C. (2012). A generalized form of context-dependent psychophysiological interactions (gPPI): a comparison to standard approaches. NeuroImage, 61(4), 1277-1286.
Fornito, A., Zalesky, A., & Breakspear, M. (2013). Graph analysis of the human connectome: promise, progress, and pitfalls. NeuroImage, 80, 426-444.
July 16, 2020
Anderson, J., Ferguson, M., Lopez-Larson, M., Yurgelun-Todd, D. (2011). Reproducibility of Single-Subject Functional Connectivity Measurements. American Journal of Neuroradiology, 32(3), 548-555.
Noble, S., Scheinost, D., Constable, R. (2019). A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis. NeuroImage, 203, 116157.
 Alison Schug 07/16/2020 |
Marissa Laws 07/23/2020 |
July 9, 2020
Andrews-Hanna, J., Reidler, J., Sepulcre, J., Poulin, R., Buckner, R. (2010). Functional-Anatomic Fractionation of the Brain's Default Network Neuron 65(4), 550-562.
June 2, 2020
Mak, L., Minuzzi, L., MacQueen, G., Hall, G., Kennedy, S., Milev, R. (2017). The Default Mode Network in Healthy Individuals: A Systematic Review and Meta-Analysis Brain Connectivity 7(1), 25-33.
 Laya Rajan 06/25/2020 |
Sri Damera 07/02/2020 |
June 18, 2020
Wagstyl K., Lerch J.P. (2018) Cortical thickness. In: Spalletta G., Piras F., Gili T. (eds) Brain Morphometry. Neuromethods, vol 136. Humana Press, New York, NY.
June 11, 2020
Evans, A. C., Janke, A. L., Collins, D. L., & Baillet, S. (2012). Brain templates and atlases. Neuroimage, 62(2), 911-922.
Alaina Pearce 06/11/2020 |
 Cameron McCay 06/18/2020 |
June 4, 2020
Botvinik-Nezer, R., Holzmeister, F., Camerer, C. F., Dreber, A., Huber, J., Johannesson, M., ... & Avesani, P. (2020). Variability in the analysis of a single neuroimaging dataset by many teams. Nature, 1-7.
May 28, 2020
Amaro Jr, E., & Barker, G. J. (2006). Study design in fMRI: basic principles. Brain and cognition, 60(3), 220-232.
 Plamen Nikolov 05/28/2020 |
Sri Damera 06/04/2020 |