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In this article, we (1) investigate whether mesoscale network properties give relevant information to distinguish groups of patients from controls in different scenarios and (2) use this lens to examine network effects of different antipsychotic treatments. Using various methods of network analysis, we examine the effect of two classical therapeutic antipsychotics\u2014Aripiprazole and Sulpiride\u2014on the architecture of functional brain networks of both controls (i.e., a set of people who were deemed to be healthy) and patients (who were diagnosed with schizophrenia). We compare community structures of functional brain networks of different individuals using mesoscopic response functions, which measure how community structure changes across different scales of a network. Our approach does a reasonably good job of distinguishing patients from controls, and the distinction is sharper for patients and controls who have been treated with Aripiprazole. Unexpectedly, we find that this increased separation between patients and controls is associated with a change in the control group, as the functional brain networks of the patient group appear to be predominantly unaffected by this drug. This suggests that Aripiprazole has a significant and measurable effect on community structure in healthy individuals but not in individuals who are diagnosed with schizophrenia, something that conflicts with the naive assumption that the drug alters the mesoscale network properties of the patients (rather than the controls). By contrast, we are less successful at separating the networks of patients from those of controls when the subjects have been given the drug Sulpiride. Taken together, in our results, we observe differences in the effects of the drugs (and a placebo) on community structure in patients and controls and also that this effect differs across groups. From a network-science perspective, we thereby demonstrate that different types of antipsychotic drugs selectively affect mesoscale properties of brain networks, providing support that structures such as communities are meaningful functional units in the brain.<\/jats:p>","DOI":"10.1093\/comnet\/cnz013","type":"journal-article","created":{"date-parts":[[2019,2,23]],"date-time":"2019-02-23T12:09:18Z","timestamp":1550923758000},"page":"932-960","source":"Crossref","is-referenced-by-count":7,"title":["Effect of antipsychotics on community structure in functional brain networks"],"prefix":"10.1093","volume":"7","author":[{"given":"Ryan","family":"Flanagan","sequence":"first","affiliation":[{"name":"School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucas","family":"Lacasa","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emma K","family":"Towlson","sequence":"additional","affiliation":[{"name":"Center for Complex Network Research and Department of Physics, Northeastern University, Boston, MA 02115, USA and Media Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sang Hoon","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Liberal Arts, Gyeongnam National University of Science and Technology, Jinju 52725, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mason A","family":"Porter","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of California, Los Angeles, CA 90095, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2019,4,15]]},"reference":[{"key":"2019121010372342100_B1","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1038\/nn.4502","article-title":"Network neuroscience","volume":"20","author":"Bassett,","year":"2017","journal-title":"Nat. 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