**READ_ME**
This folder contains the software called CluB (Clustering the Brain) used in several recent papers of our lab at the University of Milano-Bicocca to perform meta-analyses of brain imaging data based on hierarchical clustering and cluster composition analyses.
The CluB toolbox permits both to extract a set of spatially coherent clusters of activations from a database of stereotactic coordinates, and to explore each single cluster of activation for its composition according to the cognitive dimensions of interest. This last step, called “cluster composition analysis”, permits to explore neurocognitive effects by adopting a factorial-design logic and by testing the working hypotheses using either asymptotic tests, or exact tests either in a classic inference, or in a Bayesian-like context
The software is in a beta version and it will be released soon in a final version. The documentation is still incomplete.
The software has been developed primarily by Alberto Borghese, Isabella Cattinelli, Manuela Berlingeri, Aurora Saibene, with theoretical input from Riccardo Borgoni, Marcello Gallucci and Eraldo Paulesu.
A technical paper presenting the GUI version of the software is published here: Berlingeri M, Devoto F, Gasparini F, Saibene A, Corchs SE, Clemente L, Danelli L, Gallucci M, Borgoni R, Borghese NA and Paulesu E (2019) Clustering the Brain With “CluB”: A New Toolbox for Quantitative Meta-Analysis of Neuroimaging Data. Front. Neurosci. 13:1037. doi: 10.3389/fnins.2019.01037
**Eraldo Paulesu, MD**
Psychology Department & Milan Center for Neuroscience, Università degli Studi di Milano Bicocca.
Piazza dell' Ateneo Nuovo 1, 20126 Milano
**References**
Cattinelli I, Valentini G, Paulesu E, Borghese NA. A novel approach to the problem of non-uniqueness of the solution in hierarchical clustering. IEEE Trans Neural Netw Learn Syst. 2013 Jul;24(7):1166-73. doi: 10.1109/TNNLS.2013.2247058. PubMed PMID: 24808531.
Cattinelli, I., Borghese, N.A., Gallucci, M., Paulesu, E. Reading the reading brain: A new meta-analysis of functional imaging data on reading (2013) Journal of Neurolinguistics, 26 (1), pp. 214-238.
Crepaldi D, Berlingeri M, Cattinelli I, Borghese NA, Luzzatti C, Paulesu E. Clustering the lexicon in the brain: a meta-analysis of the neurofunctional evidence on noun and verb processing. Front Hum Neurosci. 2013 Jun 27;7:303. doi: 10.3389/fnhum.2013.00303. Print 2013. PubMed PMID: 23825451; PubMed Central PMCID: PMC3695563.
Devoto F, Zapparoli L, Bonandrini R, Berlingeri M, Ferrulli A, Luzi L, Banfi G, Paulesu E. Hungry brains: A meta-analytical review of brain activation imaging studies on food perception and appetite in obese individuals. Neurosci Biobehav Rev. 2018 Nov;94:271-285. doi: 10.1016/j.neubiorev.2018.07.017. Epub 2018 Jul 30. Review. PubMed PMID: 30071209.
Fornara GA, Papagno C, Berlingeri M. A neuroanatomical account of mental time travelling in schizophrenia: A meta-analysis of functional and structural neuroimaging data. Neurosci Biobehav Rev. 2017 Sep;80:211-222. doi:
10.1016/j.neubiorev.2017.05.027. Epub 2017 May 30. Review. PubMed PMID: 28576509.
Paulesu E, Danelli L, Berlingeri M. Reading the dyslexic brain: multiple dysfunctional routes revealed by a new meta-analysis of PET and fMRI activation studies. Front Hum Neurosci. 2014 Nov 11;8:830. doi: 10.3389/fnhum.2014.00830. eCollection 2014. Review. PubMed PMID: 25426043; PubMed Central PMCID: PMC4227573.
Seghezzi S, Zirone E, Paulesu E, Zapparoli L. The Brain in (Willed) Action: A Meta-Analytical Comparison of Imaging Studies on Motor Intentionality and Sense of Agency. Front Psychol. 2019 Apr 12;10:804. doi: 10.3389/fpsyg.2019.00804. eCollection 2019. PubMed PMID: 31031676; PubMed Central PMCID: PMC6473038.
Zapparoli L, Seghezzi S, Paulesu E. The What, the When, and the Whether of Intentional Action in the Brain: A Meta-Analytical Review. Front Hum Neurosci. 2017 May 17;11:238. doi: 10.3389/fnhum.2017.00238. eCollection 2017. PubMed PMID: 28567010; PubMed Central PMCID: PMC5434171.
