Lab meeting

General information

This is a wiki page for the BMU lab meeting. Please edit as required!

We meet in the BCNI seminar room every Tuesday from 11am to 12noon, except for the last Tuesday of the month because there is (usually) a Cambridge Connectome Consortium talk from 11am to 1pm at the CBU.

On the first Tuesday of the month we have a presentation. Please contact Manfred Kitzbichler (mk556@cam.ac.uk) if you'd like to give us an update on your work. Everyone is encouraged to share their analyses - the talks are supposed to be low key with helpful, constructive discussion, not terrifying plenary sessions!

On the second Tuesday of the month we will discuss a paper as a journal club. Each attendee is asked to put their name in a hat and a name is drawn at random to give a brief precis of one of the figures in the paper. If there are 4 figures in the paper, we will draw 4 names to lead the discussion, one figure at a time in published order. The point is to encourage everyone to participate (and not as a test of who understood the science best!) and journal clubs are most useful if you consider how to integrate the findings from the paper into the lab's work in general, rather than tearing it apart!

Here's a great paper on Ten Simple Rules for a Bioinformatics Journal Club if you're looking for inspiration on how to make the BMU's meetings even more effective!

On the third Tuesday of the month we will have a status update from everyone. Please bring along a figure or a slide as a visual aid if you can.

On the fourth Tuesday we'll be at the CCC talk (as described above) or we'll make a plan on the fly.

Calendar

See also the BMU lab meeting calendar.

Past and future presentations

Date	Speaker	Topic
12 April 2016	Jan Stochl	Networks of item level behavioural data: Interpretations and challenges
3 May 2016	Simon White	(Bayesian) statistics in neuroimaging
17 May 2016	Ioannis Pappas Max Shinn	Entropy of functional connectivity networks under sedation Versatility: a nodal metric to quantify ambiguity in modular classification
24 May 2016	Frantisek	Modelling effects of lesions on dynamics in cortical networks
19 July 2016	Richard	Oxytocin enhances intrinsic cortico-striatal functional connectivity in female human adults
26 July 2016	Frantisek	Structural and functional changes with development and disease in adolescence
9 August 2016	Max Shinn	Relationship between correlation structure and graph metrics
23 August 2016	Sophie Achard	Principal components of 4-node sub-graph motifs
30 August 2016	Ed Bullmore	Recent publications from the lab
4 October 2016	Richard Bethlehem	Summary of Resting State Connectivity Conference 2016, Vienna
18 October 2016	Concepcion Padilla	Neurodegeneration in Aging Down's Syndrome
24 January 2017	Lizanne Schweren	A network approach to adolescent behaviours in NSPN
31 January 2017	Hakon Grydeland	Intracortical myelin milestones link adolescent development and adult maturation
7 February 2017	Matt Leming	Semimetric pathways in functional connectomes
14 February 2017	Richard Bethlehem	Genetics of brain metrics
7 March 2017	Jakob Seidlitz	Morphometric similarity mapping of structural brain networks
28 March 2017	Jordi	SCN analysis of gifted children
2 May 2017	Joan Rue Queralt	Intrinsic ignition of brain activity in development
4 July 2017	Elisavet Pappa	Psychiatric Symptomics: A Network Analysis of Metacognitive Factors in Psychosis Networks

Journal club papers

• April 5th 2016 - Fulcher, B. D., & Fornito, A. (2016). A transcriptional signature of hub connectivity in the mouse connectome. Proceedings of the National Academy of Sciences of the United States of America, 113(5), 1435–40. doi:10.1073/pnas.1513302113 http://www.pnas.org/content/113/5/1435.abstract
• May 10th 2016 - Lee, W.-C.A. et al. (2016). Anatomy and function of an excitatory network in the visual cortex. Nature, 532(7599), pp.370–374. doi:10.1038/nature17192 http://www.nature.com/nature/journal/v532/n7599/abs/nature17192.html
• June 14th 2016 - Huth et al. (2016). Natural speech reveals the semantic maps that tile human cerebral cortex. Nature, 532(7600), pp.453-458. doi:10.1038/nature17637 http://www.nature.com/nature/journal/v532/n7600/abs/nature17637.html
• July 5th 2016 - Eklund, A., Nichols, T. E., & Knutsson, H. (2016). Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates. Proceedings of the National Academy of Sciences, 201602413. doi:10.1073/pnas.1602413113 http://www.pnas.org/content/early/2016/06/27/1602413113.full
• October 11th 2016 - Glasser M. F., et al. (2016). A multi-modal parcellation of human cerebral cortex. Nature 536, 171–178 doi:10.1038/nature18933 http://www.nature.com/nature/journal/v536/n7615/full/nature18933.html
• November 8th 2016 - Margulies et al. (2016). Situating the default-mode network along a principal gradient of macroscale cortical organization. PNAS doi:10.1073/pnas.1608282113 http://www.pnas.org/content/early/2016/10/17/1608282113.long
• April 11th 2017 - Special Journal Club hosted by Ed Bullmore: "About Influence", Harvard Business Review
• May 16th 2017 - Van den Heuvel et al. (2017). Proportional thresholding in resting-state fMRI functional connectivity networks and consequences for patient-control connectome studies: Issues and recommendations. Neuroimage doi:10.1016/j.neuroimage.2017.02.005 http://www.sciencedirect.com/science/article/pii/S105381191730109X
• October 10th 2017 - Gordon, E. M., Laumann, T. O., Gilmore, A. W., Petersen, S. E., Nelson, S. M., Dosenbach, N. U. F., et al. (2017). Precision Functional Mapping of Individual Human Brains. Neuron, 95(4), 1–17. doi:10.1016/j.neuron.2017.07.011