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<!DOCTYPE HTML>
<html>
<head>
<title>INTREPIBD Group</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
<link rel="icon" type="image/png”" href="images/favicon.png" />
<meta name="theme-color" content="#333333">
<meta name="description"
content="Identifying digital biomarkers of illness activity and treatment response in bipolar disorder">
<link rel="stylesheet" href="assets/css/main.css" />
<noscript>
<link rel="stylesheet" href="assets/css/noscript.css" />
</noscript>
</head>
<body class="is-preload">
<!-- Wrapper -->
<div id="wrapper">
<!-- Header -->
<header id="header" class="alt">
<span class="logo"><img src="images/INTREPIBD.png" alt="" /></span>
<h1>INTREPIBD Group</h1>
<p>Identifying digital biomarkers of illness activity and treatment response in bipolar disorder</p>
</header>
<!-- Nav -->
<nav id="nav">
<ul>
<li><a href="#mission" class="active">Mission</a></li>
<li><a href="#summary">Summary</a></li>
<li><a href="#research">Research</a></li>
<li><a href="#the-team">The Team</a></li>
<li><a href="#media">Media</a></li>
</ul>
</nav>
<!-- Main -->
<div id="main">
<section id="mission" class="main">
<div class="spotlight">
<div class="content">
<header class="major">
<h2>Mission</h2>
</header>
<p>A timely detection of the pathological mood fluctuations in bipolar disorder (BD) is crucial
in establishing effective treatments, preventing adverse outcomes, and improving the overall
prognosis of this severe and recurrent illness. However, the diagnosis, treatment, and
assessment of BD episodes are still solely based on subjective information collected through
clinical interviews, questionnaires, and scales. Thus, the criteria for prescribing
medications in BD are still primarily dictated by a trial-and-error approach resulting in
roughly 40% of individuals having the expected response. During these uncertain and lengthy
periods, adverse outcomes are frequent (i.e., side-effects, relapses, suicide attempts).
<br>
Wearable devices are now capable of incorporating a wide array of sensors to collect digital
biomarkers to gain insight into an individual's behavioral, stress and sleep patterns
alongside other neurophysiological parameters. <br>
Our mission with INTREPIBD is to identify specific illness physiological patterns based on
digital biomarkers (i.e., Actigraphy, EDA, Heart rate variability) collected with a novel
wearable device and to follow-up symptoms with a smartphone app. Based on this data, we also
aim to determine objective digital signatures of treatment response and predicted outcomes
through exploratory analyses and innovative modelling of multi-modal data powered by machine
learning. <br>
The identification of these parameters could mark a breakthrough advancement in real-world
clinical practice as it will provide both clinicians and patients with the necessary
objective parameters to timely detect acute episodes and determine treatment response.
</p>
</div>
<span class="image"><img src="images/wearable.png" alt="" /></span>
</div>
</section>
<section id="summary" class="main special">
<header class="major">
<h2>Summary</h2>
</header>
<ul class="features">
<li>
<b id="counter">231</b>
<p>Participants recruited</p>
</li>
<li>
<b id="counter">329</b>
<p>Sessions recorded</p>
</li>
<li>
<b id="counter">8</b>
<p>Research outputs</p>
</li>
</ul>
</section>
<section id="research" class="main special publications">
<header class="major">
<h2>Research</h2>
<p>Selected publication and research output. All software developed
are available on <a href="https://github.com/INTREPIBD">github.com/INTREPIBD</a>.</p>
</header>
<div class="content">
<ul class="alt">
<li>
<b>A Bayesian analysis of heart rate variability changes over acute episodes of bipolar
disorder</b><br>
Filippo Corponi, Bryan M. Li, Gerard Anmella, Clàudia Valenzuela-Pascual, Isabella
Pacchiarotti, Marc Valentí, Iria Grande, Antonio Benabarre, Marina Garriga, Eduard Vieta,
Stehpen
Lawrie, Heather Whalley, Diego Hidalgo-Mazzei, and Antonio Vergari.<br><i>npj Mental Health
Research</i>.
2024<br> [ <a href="https://www.nature.com/articles/s44184-024-00090-x">Paper</a> ] [ <a
href="https://github.com/april-tools/bayesian-hrv">Code</a> ]
</li>
<li>
<b>Sleep–wake variations of electrodermal activity in bipolar disorder</b><br>
Clàudia Valenzuela-Pascual, Ariadna Mas, Roger Borràs, Gerard Anmella, Miriam Sanabra,
Meritxell González-Campos, Marc Valentí, Isabella Pacchiarotti, Antoni Benabarre, Iria
Grande, Michele De Prisco, Vincenzo Oliva, Anna Bastidas, Isabel Agasi, Allan H. Young,
Marina Garriga, Andrea Murru, Filippo Corponi, Bryan M. Li, Peter de Looff, Eduard Vieta,
Diego Hidalgo-Mazzei.<br><i>Acta Psychiatrica Scandinavica</i>.
2024<br> [ <a href="https://onlinelibrary.wiley.com/doi/10.1111/acps.13718">Paper</a> ]
</li>
<li>
<b>Automated mood disorder symptoms monitoring from multivariate time-series sensory data:
Getting the full picture beyond a single number</b><br>
Filippo Corponi*, Bryan M. Li*, Gerard Anmella, Ariadna Mas, Miriam
Sanabra, Eduard
Vieta,
INTREPIBD Group, Stephen M. Lawrie, Heather C. Whalley, Diego Hidalgo-Mazzei, Antonio
Vergari.<br>
<i>Nature Translational Psychiatry</i>. 2024.<br>
[ <a href="https://www.nature.com/articles/s41398-024-02876-1">Paper</a> ] [ <a
href="https://github.com/april-tools/wear-your-scales">Code</a> ]
</li>
<li>
<b>Wearable Data From Subjects Playing Super Mario, Taking
University Exams, or Performing Physical Exercise Help Detect Acute Mood Disorder
Episodes via
Self-Supervised Learning: Prospective, Exploratory, Observational Study</b><br>
Filippo Corponi, Bryan M. Li, Gerard Anmella, Clàudia Valenzuela-Pascual, Ariadna Mas,
Isabella
Pacchiarotti, Marc Valentí, Iria Grande, Antonio Benabarre, Marina Garriga, Eduard Vieta,
Allan H Young,
Stephen M. Lawrie, Heather C. Whalley, Diego Hidalgo-Mazzei, Antonio Vergari<br>
<i>JMIR mHealth and uHealth</i>. 2023.<br>
[ <a href="https://mhealth.jmir.org/2024/1/e55094">Paper</a> ] [ <a
href="https://github.com/april-tools/e4selflearning">Code</a> ]
</li>
<li>
<b>Electrodermal activity in bipolar disorder: Differences between mood episodes and
clinical remission using a wearable device in a real-world clinical setting</b><br>
Gerard Anmella, Ariadna Mas, Miriam Sanabra, Clàudia Valenzuela-Pascual, Marc Valentí,
Isabella Pacchiarotti, Antoni Benabarre, Iria Grande, Michele De Prisco, Vincenzo Oliva,
Giovanna Fico, Anna Giménez-Palomo, Anna Bastidas, Isabel Agasi, Allan H. Young, Marina
Garriga, Filippo Corponi, Bryan M. Li, Peter de Looff, Eduard Vieta, Diego
Hidalgo-Mazzei<br>
<i>Journal of Affective Disorders</i>. 2023.<br>
[ <a href="https://www.sciencedirect.com/science/article/pii/S0165032723013149">Paper</a> ]
</li>
<li>
<b>Exploring electrodermal activity differences during acute
episodes of bipolar disorder (BD) with wearable devices</b><br>
Ariadna Mas, Miriam Sanabra, Gerard Anmella, Filippo Corponi, Bryan M. Li, Marc Valentí,
Antoni Benabarre, Iria Grande, Anna Giménez-Palomo, Isabella Pacchiarotti, Anna Bastidas,
Isabel Agasi, Marina
Garriga, Peter de Looff, Eduard Vieta, Diego
Hidalgo-Mazzei.<br>
<i>36<sup>th</sup> ECNP Congress</i>. 2023.<br>
[ <a href="docs/ECNP2023_Poster.pdf">Poster</a> ]
</li>
<li>
<b>Exploring
digital biomarkers
of
illness activity in mood episodes: hypotheses generating and model development
study</b><br>
Gerard Anmella*, Filippo Corponi*, Bryan M. Li*, Ariadna Mas, Miriam Sanabra, Isabella
Pacchiarotti, Marc Valentí, Iria Grande, Antoni Benabarre, Anna
Giménez-Palomo, Marina Garriga, Isabel Agasi, Anna Bastidas, Myriam Cavero, Tabatha
Fernández-Plaza, Néstor Arbelo, Miquel Bioque, Clemente García-Rizo,
Norma Verdolini, Santiago Madero, Andrea Murru, Silvia Amoretti, Anabel
Martínez-Aran, Victoria Ruiz, Giovanna Fico, Michele De Prisco, Vincenzo
Oliva, Aleix Solanes, Joaquim Radua, Ludovic Samalin, Allan H.
Young, Eduard Vieta, Antonio Vergari, Diego Hidalgo-Mazzei.<br>
<i>JMIR mHealth and uHealth</i>. 2023.<br>
[ <a href="https://mhealth.jmir.org/2023/1/e45405">Paper</a> ]
[ <a href="https://github.com/INTREPIBD/JMIR2023">Code</a> ]
</li>
<li>
<b>Inferring mood disorder symptoms from multivariate time-series sensory data</b><br>
Bryan M. Li*, Filippo Corponi*, Gerard Anmella, Ariadna Mas, Miriam
Sanabra, Diego Hidalgo-Mazzei, Antonio Vergari.<br>
<i>NeurIPS Workshop on Learning from Time Series for Health</i>. 2022.<br>
[ <a href="https://openreview.net/forum?id=awjU8fCDZjS">Paper</a> ]
[ <a href="https://github.com/INTREPIBD/TS4H2022">Code</a> ]
[ <a href="docs/NeurIPS2022_TS4H_Poster.pdf">Poster</a> ]
</li>
</ul>
</div>
</section>
<section id="the-team" class="main special">
<header class="major">
<h2>The Team</h2>
<p>We are a group of psychiatrists, clinicans and computer scientists interested in tackling the
challenges in machine learning for mental healthcare.</p>
</header>
<ul class="features">
<li>
<img src="images/team/Gerard_Anmella.jpg">
<h3>Gerard Anmella</h3>
<p>Postdoctoral researcher<br>Hospital Clínic de Barcelona</p>
</li>
<li>
<img src="images/team/Filippo_Corponi.jpg">
<h3>Filippo Corponi<a href="https://twitter.com/filippocmc"
class="icon brands fa-twitter fa-sm"><span class="label">Twitter</span></a></h3>
<p>Data scientist<br>University of Edinburgh</p>
</li>
<li>
<img src="images/team/Bryan_Li.jpg">
<h3>Bryan M. Li<a href="https://twitter.com/bryanlimy"
class="icon brands fa-twitter fa-sm"><span class="label">Twitter</span></a></h3>
<p>Data scientist<br>University of Edinburgh</p>
</li>
<li>
<img src="images/team/ClaudiavalenzuelaPascual.jpg">
<h3>Clàudia Valenzuela-Pascual</h3>
<p>Predoctoral researcher<br>Hospital Clínic de Barcelona</p>
</li>
<li>
<img src="images/team/Eduard_Vieta.jpg">
<h3>Eduard Vieta</h3>
<p>Project supervisor<br>Hospital Clínic de Barcelona</p>
</li>
<li>
<img src="images/team/Antonio_Vergari.jpg">
<h3>Antonio Vergari<a href="https://twitter.com/tetraduzione"
class="icon brands fa-twitter fa-sm"><span class="label">Twitter</span></a></h3>
<p>Principal investigator<br>University of Edinburgh</p>
</li>
<li>
<img src="images/team/DiegoHidalgo_Mazzei.jpg">
<h3>Diego Hidalgo-Mazzei<a href="https://twitter.com/DHidalgoMazzei"
class="icon brands fa-twitter fa-sm"><span class="label">Twitter</span></a></h3>
<p>Principal investigator<br>Hospital Clínic de Barcelona</p>
</li>
</ul>
</section>
<section id="media" class="main special publications">
<header class="major">
<h2>Media</h2>
</header>
<div class="content">
<ul class="alt">
<li>
<b><a href="https://www.medscape.com/viewarticle/997306">Smart Bracelet May Predict Mood
Changes in Bipolar Disorder</a></b><br>
<i>MedScape</i>. 2023.
</li>
<li>
<b><a
href="https://www.lemonde.fr/sciences/article/2023/10/20/une-montre-pour-mesurer-les-variations-de-l-humeur-des-personnes-bipolaires_6195530_1650684.html">Une
montre pour mesurer les variations de l'humeur des personnes bipolaires</a></b><br>
<i>Le Monde</i>. 2023.
</li>
</ul>
</div>
</section>
<section id="funders" class="main special">
<p>This project is funded by:</p>
<div class="logo">
<a
href="https://milkeninstitute.org/article/baszucki-brain-research-fund-and-milken-institute-announce-grant-recipients-bipolar"><img
class="logo" style='width:90%; max-width: 800px' src="images/Milken_Baszucki.jpg"
alt="" /></a>
</div>
<div class="logo">
<a href="https://www.isciii.es/Paginas/Inicio.aspx"><img class="logo"
style='width:90%; max-width: 800px' src="images/ISCIII.png" alt="" /></a>
</div>
<p style='margin-top: 1em;'>This project is supported by:</p>
<div class="logos">
<a href="https://www.clinicbarcelona.org/en"><img class="logo" src="images/clinic-barcelona.svg"
alt="" /></a>
<a href="https://www.clinicbarcelona.org/en/idibaps"><img class="logo" src="images/IDIBAPS.jpg"
alt="" /></a>
<a href="https://www.clinicbarcelona.org/en/idibaps/about-us/governing-bodies/fundacio-clinic"><img
class="logo" src="images/fundacio-clinic.jpg" alt="" /></a>
</div>
</section>
</div>
<!-- Footer -->
<footer id="footer">
<section>
<h2>Acknowledgement</h2>
<p>This study was supported by a grant from Baszucki Brain Research Fund and the Instituto de
Salud Carlos III (FIS PI21/00340, TIMEBASE STUDY).</p>
</section>
<section>
<h2>Contact</h2>
<dl class="alt">
<dt>Correspondent</dt>
<dd>Dr. Diego Hidalgo-Mazzei</dd>
<dt>Email</dt>
<dd><a href="mailto:dahidalg@clinic.cat">dahidalg@clinic.cat</a></dd>
</dl>
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