1 00:00:07,424 --> 00:00:08,842 My name is Guillermo de Arcas 2 00:00:08,842 --> 00:00:12,804 I’m Professor of acoustics and instrumentation in UPM 3 00:00:12,846 --> 00:00:16,266 and I am the scientific coordinator of a research program, 4 00:00:16,349 --> 00:00:18,935 which is called the Nero Acoustics Lab. 5 00:00:18,935 --> 00:00:23,606 The goal of this research program is to study the use of acoustic 6 00:00:23,606 --> 00:00:28,028 technologies in the field of neuroscience, and in particular to develop 7 00:00:28,028 --> 00:00:32,574 technological solutions that might contribute to alleviate or 8 00:00:32,574 --> 00:00:37,537 to improve, the life of those affected by these type of diseases. 9 00:00:37,537 --> 00:00:39,497 We’re working in two main areas. 10 00:00:39,497 --> 00:00:42,459 One is auditory stimulation and the other one 11 00:00:42,459 --> 00:00:47,464 is the monitoring of motor symptoms in neurodegenerative diseases. 12 00:00:47,547 --> 00:00:50,592 Although we have been mainly working in Parkinson's disease, 13 00:00:57,307 --> 00:00:59,768 well our hypothesis is that auditory 14 00:00:59,768 --> 00:01:05,023 stimulation might induce some changes in our brain activity. 15 00:01:05,106 --> 00:01:08,777 So our prophecy is, is that if we study 16 00:01:08,860 --> 00:01:14,157 those simulations at a more basic level, at the level of sound, 17 00:01:14,240 --> 00:01:15,075 we might be 18 00:01:15,075 --> 00:01:18,036 able to design some sonic stimulus 19 00:01:18,161 --> 00:01:23,291 that can induce certain changes and due to the interconnection 20 00:01:23,291 --> 00:01:26,169 about different brain regions and functionalities, 21 00:01:26,169 --> 00:01:29,422 these might contribute to improve some of those symptoms. 22 00:01:29,506 --> 00:01:32,050 We have just finished a couple of studies, 23 00:01:32,050 --> 00:01:34,636 one where we have been analyzing 24 00:01:34,636 --> 00:01:38,473 the EEG activity in the long term 25 00:01:38,556 --> 00:01:41,559 auditory stimulation in a group of 14 patients 26 00:01:41,601 --> 00:01:46,397 and the other one where we were analyzing if those changes 27 00:01:46,481 --> 00:01:49,192 produce some changes in the motor 28 00:01:49,192 --> 00:01:52,195 symptoms of those patients. 29 00:01:52,362 --> 00:01:54,489 Now we have started 30 00:01:54,489 --> 00:01:58,284 a new collaboration in in the lab 31 00:01:58,326 --> 00:02:01,788 to try to develop a preclinical line of the study 32 00:02:01,871 --> 00:02:04,666 that would complement our clinical studies 33 00:02:04,666 --> 00:02:08,711 and would help us to improve our knowledge and our understanding 34 00:02:08,711 --> 00:02:11,923 of the interconnections, or the changes 35 00:02:11,923 --> 00:02:15,301 that these auditory stimulus might be presenting, 36 00:02:15,301 --> 00:02:18,763 because in some patients we are seeing a kind of response. 37 00:02:18,847 --> 00:02:21,683 and in others we have seen a different kind of response 38 00:02:28,815 --> 00:02:31,776 regarding the monitoring of motor symptoms. 39 00:02:31,901 --> 00:02:35,280 We are trying to move from a supervised scenario 40 00:02:35,363 --> 00:02:37,031 to a free living scenario. 41 00:02:37,031 --> 00:02:40,034 In the supervisor scenario, we are proposing the patient 42 00:02:40,034 --> 00:02:42,704 to do some specific tests. 43 00:02:42,704 --> 00:02:45,957 These tests are the ones that the neurology 44 00:02:46,040 --> 00:02:50,837 usually present, like, for example, extending your arms to measure tremor 45 00:02:50,920 --> 00:02:54,591 or moving your arms backward and forward. 46 00:02:54,674 --> 00:02:58,469 This is where we have been working and we have developed some algorithms 47 00:02:58,511 --> 00:03:01,431 using AI. 48 00:03:01,431 --> 00:03:04,225 Now we trying to move to a free-living scenario. 49 00:03:04,225 --> 00:03:07,896 In that scenario, the patient would perform 50 00:03:07,896 --> 00:03:12,358 their daily activities without thinking about doing the specific tests, 51 00:03:12,442 --> 00:03:15,737 But we should be able to locate and gather 52 00:03:15,862 --> 00:03:19,782 that data that we need to assess the specific indicator. 53 00:03:19,908 --> 00:03:24,537 For example, when the patient is resting, we can try to measure 54 00:03:24,621 --> 00:03:26,247 the amount of resting tremor 55 00:03:26,247 --> 00:03:30,043 or when the patient is eating or maybe brushing their teeth. 56 00:03:30,126 --> 00:03:33,671 We might be able to measure the bradykinesia 57 00:03:33,880 --> 00:03:36,883 the slowing of the movement using that signals 58 00:03:37,091 --> 00:03:39,219 In both cases, we work with hospitals. 59 00:03:39,219 --> 00:03:44,599 In particular, we work a lot with Ramón y Cajal hospital in Madrid 60 00:03:44,682 --> 00:03:46,976 and with other research institutions. 61 00:03:46,976 --> 00:03:49,896 We have a strong collaboration with Complutense University 62 00:03:49,896 --> 00:03:51,814 of Madrid, with 63 00:03:51,814 --> 00:03:58,029 Dr. Fernando Maestú and other researchers from UPM and also from Portugal 64 00:04:04,577 --> 00:04:06,788 Many times it is 65 00:04:06,788 --> 00:04:10,124 not so easy to reach the patients in the hospital 66 00:04:10,124 --> 00:04:15,296 because they only will go once every few months, but they go every day 67 00:04:15,296 --> 00:04:19,217 to their Parkinson's, or every week, to the Parkinson's Disease Association, 68 00:04:19,300 --> 00:04:22,595 where they have complementary therapies, etc.. 69 00:04:22,679 --> 00:04:25,974 And that's an environment where it's 70 00:04:26,057 --> 00:04:28,851 much easier to develop these kind of studies. 71 00:04:28,851 --> 00:04:33,064 So we've been collaborating with them very, very strongly since the beginning, 72 00:04:33,064 --> 00:04:35,984 and they played a key role in our studies. 73 00:04:40,738 --> 00:04:41,948 Well, I think neuroscience 74 00:04:41,948 --> 00:04:45,827 and neuro technologies are a booming field. 75 00:04:45,910 --> 00:04:48,913 We've seen at international level both private 76 00:04:48,913 --> 00:04:53,126 and public initiatives trying to boost the development of these fields, 77 00:04:53,167 --> 00:04:57,547 both in the U.S., in Europe and at any country. 78 00:04:57,630 --> 00:05:02,760 We seen a lot of companies creating new companies trying to develop these 79 00:05:02,760 --> 00:05:09,183 technologies, a lot of initiatives, trying to foster the research in this area. 80 00:05:09,267 --> 00:05:12,770 Unfortunately, acoustics is an unknown field 81 00:05:12,770 --> 00:05:19,235 for many of our students because it has disappeared from the degrees 82 00:05:19,319 --> 00:05:21,195 of many of the engineering degrees. 83 00:05:21,195 --> 00:05:24,365 But acoustic technologies are around us and they're contributing 84 00:05:24,365 --> 00:05:28,369 to solve some of the challenges in our society. 85 00:05:28,453 --> 00:05:32,415 I personally think that acoustic technologies have have 86 00:05:32,498 --> 00:05:36,836 the potential to have a great impact in neuroscience. 87 00:05:36,878 --> 00:05:39,505 Actually, there are some applications that have been developed 88 00:05:39,505 --> 00:05:44,385 like high frequency ultrasound, like low frequency ultrasound, etc. 89 00:05:44,469 --> 00:05:46,512 that are changing 90 00:05:46,512 --> 00:05:50,183 the clinical management of some of these diseases. 91 00:05:50,266 --> 00:05:54,854 So I think it's a great opportunity because there's not so many people 92 00:05:54,937 --> 00:05:58,274 trained to work in acoustics and neuroscience. 93 00:05:58,358 --> 00:06:02,028 So I would encourage anyone and it's also a very rewarding experience.