1 00:00:07,800 --> 00:00:14,000 I am Julia Varotto. I'm a Italian neuroscientist,  and currently I'm working in the Laboratory   2 00:00:14,000 --> 00:00:19,840 for Clinical Neuroscience in the Center for  Biomedical Technology of the UPM of Madrid.  3 00:00:19,840 --> 00:00:25,080 My main topic of research has  been in the field of epilepsy.  4 00:00:25,080 --> 00:00:31,880 More or less 30% of patients with epilepsy  that can`t be cured with medication,   5 00:00:31,880 --> 00:00:37,560 that are drug resistant, and for this patient at  the moment, the only therapeutic strategy that we   6 00:00:37,560 --> 00:00:40,840 have is surgical intervention. For most of this patient,   7 00:00:40,840 --> 00:00:45,080 we need invasive procedure to record  data to acquire electrophysiological data  8 00:00:45,080 --> 00:00:50,720 By analyzing this data, we can  localize the epileptogenic zone,   9 00:00:50,720 --> 00:00:52,880 which is the main problem that we have today,  10 00:00:52,880 --> 00:00:59,920 this takes long time, is very expensive,  and this a strong subjective procedure. 11 00:01:01,280 --> 00:01:09,960 My most recent project was aimed at developing  advanced novel method to create an automatic   12 00:01:09,960 --> 00:01:17,280 tool able to detect the epileptogenic zone from  very short fragment of data. The very first few   13 00:01:17,280 --> 00:01:25,000 minutes of recording. To do this we work with  novel methods that belongs to two big families: 14 00:01:25,000 --> 00:01:32,040 One is complex network analysis and the other  is advanced machine learning and AI techniques.  15 00:01:32,040 --> 00:01:38,560 Complex network, why? Because now is well known  that epilepsy is a network disease and not only   16 00:01:38,560 --> 00:01:45,040 epilepsy, but we know that our brain in  general doesn't work with separated areas   17 00:01:45,040 --> 00:01:51,800 involved specialized to do something. But most  of the function require complex integration and   18 00:01:51,800 --> 00:01:57,560 communication between these areas. And also  pathology, like epilepsy, we know now that   19 00:01:57,560 --> 00:02:03,440 is linked with alteration of this mechanism  of communication between the whole brain. 20 00:02:03,440 --> 00:02:09,320 So we have several methods analyzing  the synchronization between the areas   21 00:02:09,320 --> 00:02:15,400 and also extracting more synthesized  information like graph theory analysis   22 00:02:15,400 --> 00:02:22,520 that allows to quantify the way all the  areas are interconnected among each other. 23 00:02:22,520 --> 00:02:24,440 And then with machine learning techniques 24 00:02:24,440 --> 00:02:30,240 we can develop methods for recognition,  automatic recognition, of those areas   25 00:02:30,240 --> 00:02:40,480 that are responsible for seizure generation. So  that needs to be removed from the other areas. 26 00:02:40,480 --> 00:02:48,720 we use these recordings and these patients to also  analyze response, electrophysiological response,   27 00:02:48,720 --> 00:02:53,720 to certain cognitive functions  like memory or emotion perception  28 00:02:53,720 --> 00:02:57,400 and we analyze with the same  methods of signal processing,   29 00:02:57,400 --> 00:03:02,200 complex network analysis, so behavior and  communication between different regions,   30 00:03:02,200 --> 00:03:07,720 to also understand better how our basic  physiological cognitive functions. 31 00:03:07,720 --> 00:03:18,720 So not only the pathology but our  normal physiological brain behavior. 32 00:03:18,720 --> 00:03:22,360 I think that neuroscience  is the first modern science   33 00:03:22,360 --> 00:03:27,280 that communicate and work with all humanities.  34 00:03:27,280 --> 00:03:33,320 What we research as scientists is something  that for centuries has been the research of   35 00:03:33,320 --> 00:03:40,920 philosophers, artists, religions too. So with our memory, our emotions,   36 00:03:40,920 --> 00:03:47,240 our consciousness…and I think that is the most  fascinating aspect that nowadays as scientist,   37 00:03:47,240 --> 00:03:59,680 we can study. Because it’s huge, interested  and it’s touched something deep of our being.