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1. Identifying digital biomarkers of illness activity and treatment response in bipolar disorder with a novel wearable device (TIMEBASE): protocol for a pragmatic observational clinical study

Author

Gerard Anmella, Filippo Corponi, Bryan M. Li, Ariadna Mas, Marina Garriga, Miriam Sanabra, Isabella Pacchiarotti, Marc Valentí, Iria Grande, Antoni Benabarre, Anna Giménez-Palomo, Isabel Agasi, Anna Bastidas, Myriam Cavero, Miquel Bioque, Clemente García-Rizo, Santiago Madero, Néstor Arbelo, Andrea Murru, Silvia Amoretti, Anabel Martínez-Aran, Victoria Ruiz, Yudit Rivas, Giovanna Fico, Michele De Prisco, Vincenzo Oliva, Aleix Solanes, Joaquim Radua, Ludovic Samalin, Allan H. Young, Antonio Vergari, Eduard Vieta, and Diego Hidalgo-Mazzei

Subjects
Bipolar disorder, mania, depression, physiological data, digital biomarkers, Psychiatry, RC435-571
Abstract

Background Bipolar disorder is highly prevalent and consists of biphasic recurrent mood episodes of mania and depression, which translate into altered mood, sleep and activity alongside their physiological expressions. Aims The IdenTifying dIgital bioMarkers of illnEss activity and treatment response in BipolAr diSordEr with a novel wearable device (TIMEBASE) project aims to identify digital biomarkers of illness activity and treatment response in bipolar disorder. Method We designed a longitudinal observational study including 84 individuals. Group A comprises people with acute episode of mania (n = 12), depression (n = 12 with bipolar disorder and n = 12 with major depressive disorder (MDD)) and bipolar disorder with mixed features (n = 12). Physiological data will be recorded during 48 h with a research-grade wearable (Empatica E4) across four consecutive time points (acute, response, remission and episode recovery). Group B comprises 12 people with euthymic bipolar disorder and 12 with MDD, and group C comprises 12 healthy controls who will be recorded cross-sectionally. Psychopathological symptoms, disease severity, functioning and physical activity will be assessed with standardised psychometric scales. Physiological data will include acceleration, temperature, blood volume pulse, heart rate and electrodermal activity. Machine learning models will be developed to link physiological data to illness activity and treatment response. Generalisation performance will be tested in data from unseen patients. Results Recruitment is ongoing. Conclusions This project should contribute to understanding the pathophysiology of affective disorders. The potential digital biomarkers of illness activity and treatment response in bipolar disorder could be implemented in a real-world clinical setting for clinical monitoring and identification of prodromal symptoms. This would allow early intervention and prevention of affective relapses, as well as personalisation of treatment.

Published
2024
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2. Sex differences in prolactin levels and clinical outcomes in patients with a first psychotic episode

Author

Jordà-Baleri, Teresa, Garriga, Marina, Mezquida, Gisela, Cuesta, Manuel J., Martinez-Aran, Anabel, Garcia-Rizo, Clemente, Lobo, Antonio, González-Pinto, Ana, Diaz-Caneja, Covadonga M., Roldán, Alexandra, Vieta, Eduard, Baeza, Inmaculada, Trabsa, Amira, Montalvo, Itziar, Tortorella, Alfonso, Menculini, Giulia, Verdolini, Norma, Ramos-Quiroga, Josep Antoni, Sánchez Torres, Ana M., Bernardo, Miquel, and Amoretti, Silvia

Published
2024
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3. Contrasting genetic burden for bipolar disorder: Early onset versus late onset in an older adult bipolar disorder sample

Author

Montejo, Laura, Sole, Brisa, Fico, Giovanna, Kalman, Janos L., Budde, Monika, Heilbronner, Urs, Oliva, Vincenzo, De Prisco, Michele, Martin-Parra, Sara, Ruiz, Andrea, Martinez-Aran, Anabel, Adorjan, Kristina, Falkai, Peter, Heilbronner, Maria, Kohshour, Mojtaba Oraki, Reich-Erkelenz, Daniela, Schaupp, Sabrina K., Schulte, Eva C., Senner, Fanny, Vogl, Thomas, Anghelescu, Ion-George, Arolt, Volker, Baune, Bernhard T., Dannlowski, Udo, Dietrich, Detlef E., Fallgatter, Andreas J., Figge, Christian, Juckel, Georg, Konrad, Carsten, Reimer, Jens, Reininghaus, Eva Z., Schmauß, Max, Wiltfang, Jens, Zimmermann, Jörg, Vieta, Eduard, Papiol, Sergi, Schulze, Thomas G., and Torrent, Carla

Published
2025
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4. Sex matters: Differences in prodromes, clinical and neuropsychological features in individuals with a first episode mania or psychosis

Author

Palacios-Garran, Roberto, Amoretti, Silvia, Serra-Navarro, Maria, Torrent, Carla, Garriga, Marina, Fares-Otero, Natalia E., Sagué-Vilavella, Maria, Madero, Santiago, Forte, M. Florencia, Montejo, Laura, Salgado-Pineda, Pilar, Montoro, Irene, Sánchez-Gistau, Vanessa, Pomarol-Clotet, Edith, Menculini, Giulia, Tortorella, Alfonso, Pacchiarotti, Isabella, Garcia-Rizo, Clemente, Ramos-Quiroga, Josep Antoni, Martínez-Arán, Anabel, Vieta, Eduard, and Verdolini, Norma

Published
2025
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5. Emotional intelligence and neurocognition profiles in first-episode psychosis: A two-year follow-up study

Author

Salmerón, Sergi, Arbelo, Nestor, Ferrer-Quintero, Marta, Echevarría, Ana, Selma, Judit, Grasa, Eva Ma, Marin, Julen, Mar, Lorea, De-la-Cámara, Concepción, Ruíz-Lázaro, Pedro M, Nacher, Juan, Nicolas, Carlos Cañete, Mané, Anna, Toll, Alba, Solé, Brisa, Mallorqui, Aida, Castro-Fornieles, Josefina, Baeza, Inmaculada, Contreras, Fernando, Sáiz, Pilar A., Bobes-Bascarán, Teresa, Segarra, Rafael, Zabala, Arantzazu, Scala, Mauro, Rodriguez-Jimenez, Roberto, Usall, Judith, Butjosa, Anna, Pomarol-Clotet, Edith, García-León, Maria Ángeles, Ibañez, Angela, Moreno-Izco, Lucía, Balanzá-Martínez, Vicent, Clougher, Derek, Forte, Maria Florencia, Mezquida, Gisela, Sánchez-Torres, Ana M., Serra-Navarro, Maria, Penadés, Rafael, Lobo, Antonio, Pinto, Ana González, Panadero, Rocío, Roldán, Alexandra, Vieta, Eduard, de la Serna, Elena, Trabsa, Amira, Martínez-Aran, Anabel, Torrent, Carla, Tortorella, Alfonso, Menculini, Giulia, Ramos-Quiroga, Josep Antoni, Cuesta, Manuel J., Bernardo, Miquel, and Amoretti, Silvia

Published
2024
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8. Effects of Mediterranean diet or mindfulness-based stress reduction on fetal and neonatal brain development: a secondary analysis of a randomized clinical trial

Author

Nakaki, Ayako, Crovetto, Francesca, Urru, Andrea, Piella, Gemma, Borras, Roger, Comte, Valentin, Vellvé, Kilian, Paules, Cristina, Segalés, Laura, Dacal, Marta, Gomez, Yvan, Youssef, Lina, Casas, Rosa, Castro-Barquero, Sara, Martín-Asuero, Andrés, Oller Guzmán, Teresa, Morilla, Ivette, Martínez-Àran, Anabel, Camacho, Alba, Pascual Tutusaus, Mireia, Arranz, Angela, Rebollo-Polo, Monica, Gomez-Chiari, Marta, Bargallo, Nuria, Pozo, Óscar J., Gomez-Gomez, Alex, Izquierdo Renau, Montserrat, Eixarch, Elisenda, Vieta, Eduard, Estruch, Ramon, Crispi, Fàtima, Gonzalez-Ballester, Miguel Angel, and Gratacós, Eduard

Published
2023
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10. Safety intervention for improving functioning in suicidal attempters (STRONG): A secondary prevention study. Study rationale and research protocol

Author

Roberto, Natalia, Vazquez, Mireia, Radua, Joaquim, Pariente, Jose Carlos, Muñoz-Moreno, Emma, Laredo, Carlos, Bracco, Lorenzo, Fernández, Tábatha, Martín-Parra, Sara, Martínez-Aran, Anabel, Sánchez-Moreno, Jose, Saiz, Pilar, Ruiz-Veguilla, Miguel, Borras, Roger, Toll, Alba, Elices, Matilde, Brambilla, Paolo, Courtet, Philippe, Perez-Solà, Víctor, Vieta, Eduard, and Grande, Iria

Published
2023
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12. Exploring Digital Biomarkers of Illness Activity in Mood Episodes: Hypotheses Generating and Model Development Study

Author

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, and Diego Hidalgo-Mazzei

Subjects
Information technology, T58.5-58.64, Public aspects of medicine, RA1-1270
Abstract

BackgroundDepressive and manic episodes within bipolar disorder (BD) and major depressive disorder (MDD) involve altered mood, sleep, and activity, alongside physiological alterations wearables can capture. ObjectiveFirstly, we explored whether physiological wearable data could predict (aim 1) the severity of an acute affective episode at the intra-individual level and (aim 2) the polarity of an acute affective episode and euthymia among different individuals. Secondarily, we explored which physiological data were related to prior predictions, generalization across patients, and associations between affective symptoms and physiological data. MethodsWe conducted a prospective exploratory observational study including patients with BD and MDD on acute affective episodes (manic, depressed, and mixed) whose physiological data were recorded using a research-grade wearable (Empatica E4) across 3 consecutive time points (acute, response, and remission of episode). Euthymic patients and healthy controls were recorded during a single session (approximately 48 h). Manic and depressive symptoms were assessed using standardized psychometric scales. Physiological wearable data included the following channels: acceleration (ACC), skin temperature, blood volume pulse, heart rate (HR), and electrodermal activity (EDA). Invalid physiological data were removed using a rule-based filter, and channels were time aligned at 1-second time units and segmented at window lengths of 32 seconds, as best-performing parameters. We developed deep learning predictive models, assessed the channels’ individual contribution using permutation feature importance analysis, and computed physiological data to psychometric scales’ items normalized mutual information (NMI). We present a novel, fully automated method for the preprocessing and analysis of physiological data from a research-grade wearable device, including a viable supervised learning pipeline for time-series analyses. ResultsOverall, 35 sessions (1512 hours) from 12 patients (manic, depressed, mixed, and euthymic) and 7 healthy controls (mean age 39.7, SD 12.6 years; 6/19, 32% female) were analyzed. The severity of mood episodes was predicted with moderate (62%-85%) accuracies (aim 1), and their polarity with moderate (70%) accuracy (aim 2). The most relevant features for the former tasks were ACC, EDA, and HR. There was a fair agreement in feature importance across classification tasks (Kendall W=0.383). Generalization of the former models on unseen patients was of overall low accuracy, except for the intra-individual models. ACC was associated with “increased motor activity” (NMI>0.55), “insomnia” (NMI=0.6), and “motor inhibition” (NMI=0.75). EDA was associated with “aggressive behavior” (NMI=1.0) and “psychic anxiety” (NMI=0.52). ConclusionsPhysiological data from wearables show potential to identify mood episodes and specific symptoms of mania and depression quantitatively, both in BD and MDD. Motor activity and stress-related physiological data (EDA and HR) stand out as potential digital biomarkers for predicting mania and depression, respectively. These findings represent a promising pathway toward personalized psychiatry, in which physiological wearable data could allow the early identification and intervention of mood episodes.

Published
2023
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13. Vickybot, a Chatbot for Anxiety-Depressive Symptoms and Work-Related Burnout in Primary Care and Health Care Professionals: Development, Feasibility, and Potential Effectiveness Studies

Author

Gerard Anmella, Miriam Sanabra, Mireia Primé-Tous, Xavier Segú, Myriam Cavero, Ivette Morilla, Iria Grande, Victoria Ruiz, Ariadna Mas, Inés Martín-Villalba, Alejandro Caballo, Julia-Parisad Esteva, Arturo Rodríguez-Rey, Flavia Piazza, Francisco José Valdesoiro, Claudia Rodriguez-Torrella, Marta Espinosa, Giulia Virgili, Carlota Sorroche, Alicia Ruiz, Aleix Solanes, Joaquim Radua, María Antonieta Also, Elisenda Sant, Sandra Murgui, Mireia Sans-Corrales, Allan H Young, Victor Vicens, Jordi Blanch, Elsa Caballeria, Hugo López-Pelayo, Clara López, Victoria Olivé, Laura Pujol, Sebastiana Quesada, Brisa Solé, Carla Torrent, Anabel Martínez-Aran, Joana Guarch, Ricard Navinés, Andrea Murru, Giovanna Fico, Michele de Prisco, Vicenzo Oliva, Silvia Amoretti, Casimiro Pio-Carrino, María Fernández-Canseco, Marta Villegas, Eduard Vieta, and Diego Hidalgo-Mazzei

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
Abstract

BackgroundMany people attending primary care (PC) have anxiety-depressive symptoms and work-related burnout compounded by a lack of resources to meet their needs. The COVID-19 pandemic has exacerbated this problem, and digital tools have been proposed as a solution. ObjectiveWe aimed to present the development, feasibility, and potential effectiveness of Vickybot, a chatbot aimed at screening, monitoring, and reducing anxiety-depressive symptoms and work-related burnout, and detecting suicide risk in patients from PC and health care workers. MethodsHealthy controls (HCs) tested Vickybot for reliability. For the simulation study, HCs used Vickybot for 2 weeks to simulate different clinical situations. For feasibility and effectiveness study, people consulting PC or health care workers with mental health problems used Vickybot for 1 month. Self-assessments for anxiety (Generalized Anxiety Disorder 7-item) and depression (Patient Health Questionnaire-9) symptoms and work-related burnout (based on the Maslach Burnout Inventory) were administered at baseline and every 2 weeks. Feasibility was determined from both subjective and objective user-engagement indicators (UEIs). Potential effectiveness was measured using paired 2-tailed t tests or Wilcoxon signed-rank test for changes in self-assessment scores. ResultsOverall, 40 HCs tested Vickybot simultaneously, and the data were reliably transmitted and registered. For simulation, 17 HCs (n=13, 76% female; mean age 36.5, SD 9.7 years) received 98.8% of the expected modules. Suicidal alerts were received correctly. For the feasibility and potential effectiveness study, 34 patients (15 from PC and 19 health care workers; 76% [26/34] female; mean age 35.3, SD 10.1 years) completed the first self-assessments, with 100% (34/34) presenting anxiety symptoms, 94% (32/34) depressive symptoms, and 65% (22/34) work-related burnout. In addition, 27% (9/34) of patients completed the second self-assessment after 2 weeks of use. No significant differences were found between the first and second self-assessments for anxiety (t8=1.000; P=.34) or depressive (t8=0.40; P=.70) symptoms. However, work-related burnout scores were moderately reduced (z=−2.07, P=.04, r=0.32). There was a nonsignificant trend toward a greater reduction in anxiety-depressive symptoms and work-related burnout with greater use of the chatbot. Furthermore, 9% (3/34) of patients activated the suicide alert, and the research team promptly intervened with successful outcomes. Vickybot showed high subjective UEI (acceptability, usability, and satisfaction), but low objective UEI (completion, adherence, compliance, and engagement). Vickybot was moderately feasible. ConclusionsThe chatbot was useful in screening for the presence and severity of anxiety and depressive symptoms, and for detecting suicidal risk. Potential effectiveness was shown to reduce work-related burnout but not anxiety or depressive symptoms. Subjective perceptions of use contrasted with low objective-use metrics. Our results are promising but suggest the need to adapt and enhance the smartphone-based solution to improve engagement. A consensus on how to report UEIs and validate digital solutions, particularly for chatbots, is required.

Published
2023
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15. Expert consensus recommendations on the use of randomized clinical trials for drug approval in psychiatry- comparing trial designs

Author

Similon, Miriam von Mücke, Paasche, Cecilia, Krol, Fas, Lerer, Bernard, Goodwin, Guy M., Berk, Michael, Meyer-Lindenberg, Andreas, Ketter, Terence A., Yatham, Lakshmi N., Goldberg, Joseph F., Malhi, Gin S., El-Mallakh, Rif, Licht, Rasmus W., Young, Allan H., Kapczinski, Flavio, Swartz, Marnina, Hagin, Michal, Torrent, Carla, Serretti, Alessandro, Yildiz, Ayşegül, Martínez-Arán, Anabel, Strejilevich, Sergio, Rybakowski, Janusz, Sani, Gabriele, Grunze, Heinz, Vázquez, Gustavo, Pinto, Ana Gonzales, Azorin, Jean Michel, Nolen, Willem, Sentissi, Othman, López-Jaramillo, Carlos, Frey, Benicio N., Nierenberg, Andrew, Parker, Gordon, Bond, David J, Cohen, Adam, Tortorella, Alfonso, Perugi, Giulio, Vieta, Eduard, and Popovic, Dina

Published
2022
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16. The impact of sex in the effectiveness of functional remediation in bipolar disorder.

Author

Serra‐Navarro, Maria, Clougher, Derek, Solé, Brisa, Sánchez‐Moreno, Jose, González‐Pinto, Ana, Jiménez, Esther, Amann, Benedikt L., Balanzá‐Martínez, Vicent, Tabarés‐Seisdedos, Rafael, Arango, Celso, Accardo, Vivian, García‐Portilla, María Paz, Ibáñez, Ángela, Crespo, José Manuel, Ayuso‐Mateos, José Luis, Amoretti, Silvia, Torrent, Carla, Martínez‐Aran, Anabel, Vieta, Eduard, and Forte, Maria Florencia

Subjects
PSYCHOSOCIAL functioning, BIPOLAR disorder, FEMALES, MALES
Abstract

Background: Functional recovery remains a core clinical objective for patients with bipolar disorder (BD). Sociodemographic, clinical, and neurocognitive variables are associated with long‐term functional impairment, yet the impact of sex differences is unclear. Functional remediation (FR) is a validated intervention aimed at achieving functional recovery in BD. The present study assessed the effect of sex differences of FR on psychosocial functioning at post‐treatment (6‐months) and 12‐month follow‐up (FUP). To the best of our knowledge, this is the first study to explore the role of sex as a factor in the efficacy of FR. Methods: 157 participants with BD were randomly assigned to either FR (N = 77) or treatment as usual group (80). Clinical, sociodemographic, neuropsychological, and functional data were obtained using a comprehensive assessment battery. Sex differences were explored via a general linear model (GLM) for repeated measures to compare the effect of sex on the intervention over time (6 months and FUP). Results: Results demonstrated that FR benefits both sexes, males (p = 0.001; d' = 0.88) and females (p = 0.04; d' = 0.57), at 6 months suggesting a generalized functional improvement. Conversely, at 12‐month FUP sex differences were observed only in males (p = 0.005; d' = 0.68). Conclusions: FR is a beneficial intervention for males and females after treatment, suggesting that there are no relevant distinct needs. Females may benefit from ongoing psychosocial functioning booster sessions after the intervention to maintain original improvements. Future research exploring sex differences could help to identify strategies to offer personalized FR intervention approaches in individuals with BD. [ABSTRACT FROM AUTHOR]

Published
2024
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18. Antidepressants overuse in primary care: Prescription trends between 2010 and 2019 in Catalonia

Author

Anmella, Gerard, Sanabra, Miriam, Primé-Tous, Mireia, Segú, Xavier, Solanes, Aleix, Ruíz, Victoria, Morilla, Ivette, Also Fontanet, Antonieta, Sant, Elisenda, Murgui, Sandra, Sans-Corrales, Mireia, Martínez-Aran, Anabel, Fico, Giovanna, De Prisco, Michele, Oliva, Vincenzo, Murru, Andrea, Zahn, Roland, Young, Allan H., Vicens, Victor, Viñas-Bardolet, Clara, Aparicio-Nogué, Vicenç, Martínez-Cerdá, Juan Francisco, Mas, Ariadna, Carreras, Bernat, Blanch, Jordi, Radua, Joaquim, Fullana, Miquel A., Cavero, Myriam, Vieta, Eduard, and Hidalgo-Mazzei, Diego

Published
2022
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21. Vickybot, a chatbot for anxiety-depressive symptoms and work-related burnout

Author

G. Anmella, M. Sanabra, M. Primé-tous, X. Segú, M. Cavero, R. Navinés, A. Mas, V. Olivé, L. Pujol, S. Quesada, C. Pio, M. Villegas, I. Grande, I. Morilla, A. Martínez-Aran, V. Ruiz, E. Vieta, and D. Hidalgo-Mazzei

Subjects
Psychiatry, RC435-571
Abstract

Introduction A significant proportion of people attending Primary Care (PC) have anxiety-depressive symptoms and work-related burnout and there is a lack of resources to attend them. The COVID-19 pandemic has worsened this problem, particularly affecting healthcare workers, and digital tools have been proposed as a workaround. Objectives We present the development, feasibility and effectiveness studies of chatbot (Vickybot) aimed at screening, monitoring, and reducing anxiety-depressive symptoms and work-related burnout in PC patients and healthcare workers. Methods User-centered development strategies were adopted. Main functions included self-assessments, psychological modules, and emergency alerts. (1) Simulation: HCs used Vickybot for 2 weeks to simulate different possible clinical situations and evaluated their experience. (3) Feasibility and effectiveness study: People consulting PC or healthcare workers with mental health problems were offered to use Vickybot for one month. Self-assessments for anxiety (GAD-7) and depression (PHQ-9) symptoms, and work-related burnout (based on the Maslach Burnout Inventory) were administered at baseline and every two weeks. Feasibility was determined based on the combination of both subjective and objective user-engagement Indicators (UEIs). Effectiveness was measured using paired t-tests as the change in self-assessment scores. Results (1) Simulation: 17 HCs (73% female; mean age=36.5±9.7) simulated different clinical situations. 98.8% of the expected modules were recommended according to each simulation. Suicidal alerts were correctly activated and received by the research team. (2) Feasibility and effectiveness study: 34 patients (15 from PC and 19 healthcare workers; 77% female; mean age=35.3±10.1) completed the first self-assessments, with 34 (100%) presenting anxiety symptoms, 32 (94%) depressive symptoms, and 22 (64.7%) work-related burnout. Nine (26.5%) patients completed the second self-assessments after 2-weeks of use. No significant differences were found for anxiety [t(8) = 1.000, p = 0.347] or depressive [t(8) = 0.400, p = 0.700] symptoms, but work-related burnout was significantly reduced [t(8) = 2.874, p = 0.021] between the means of the first and second self-assessments. Vickybot showed high subjective-UEIs, but low objective-UEIs (completion, adherence, compliance, and engagement). Conclusions The chatbot proved to be useful in screening the presence and severity of anxiety and depressive symptoms, in reducing work-related burnout, and in detecting suicidal risk. Subjective perceptions of use contrasted with low objective-use metrics. Our results are promising, but suggest the need to adapt and enhance the smartphone-based solution in order to improve engagement. Consensus on how to report UEIs and validate digital solutions, especially for chatbots, are required. Disclosure of InterestNone Declared

Published
2023
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23. Resilience and mental health during the COVID-19 pandemic

Author

Verdolini, Norma, Amoretti, Silvia, Montejo, Laura, García-Rizo, Clemente, Hogg, Bridget, Mezquida, Gisela, Rabelo-da-Ponte, Francisco Diego, Vallespir, Catalina, Radua, Joaquim, Martinez-Aran, Anabel, Pacchiarotti, Isabella, Rosa, Adriane R., Bernardo, Miguel, Vieta, Eduard, Torrent, Carla, and Solé, Brisa

Published
2021
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28. A prospective longitudinal study searching for predictors of response to group psychoeducation in bipolar disorder

Author

Reinares, María, Pacchiarotti, Isabella, Solé, Brisa, García-Estela, Aitana, Rosa, Adriane R., Bonnín, Caterina M., De Dios, Consuelo, Torres, Immaculada, Varo, Cristina, Montejo, Laura, Valls, Èlia, Mur-Mila, Estanislao, Hidalgo-Mazzei, Diego, Jiménez, Esther, Torrent, Carla, Goikolea, José Manuel, Martínez-Arán, Anabel, Pérez-Sola, Víctor, Vieta, Eduard, and Colom, Francesc

Published
2020
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30. Effects of an integrative approach to bipolar disorders combining psychoeducation, mindfulness-based cognitive therapy and functional remediation: Study protocol for a randomized controlled trial

Author

Valls, Èlia, Sánchez-Moreno, José, Bonnín, C. Mar, Solé, Brisa, Prime-Tous, Mireia, Torres, Imma, Brat, Mercè, Gavin, Patricia, Morilla, Ivette, Montejo, Laura, Jiménez, Esther, Varo, Cristina, Torrent, Carla, Hidalgo-Mazzei, Diego, Vieta, Eduard, Martínez-Arán, Anabel, and Reinares, María

Published
2020
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31. Visual memory dysfunction as a neurocognitive endophenotype in bipolar disorder patients and their unaffected relatives. Evidence from a 5-year follow-up Valencia study.

Author

Correa-Ghisays, Patricia, Sánchez-Ortí, Joan Vicent, Ayesa-Arriola, Rosa, Setién-Suero, Esther, Balanzá-Martínez, Vicent, Selva-Vera, Gabriel, Ruiz-Ruiz, Juan Carlos, Vila-Francés, Joan, Martinez-Aran, Anabel, Vivas-Lalinde, Juliana, Conforte-Molina, Candela, San-Martín, Constanza, Martínez-Pérez, Carlos, Fuentes-Durá, Inmaculada, Crespo-Facorro, Benedicto, and Tabarés-Seisdedos, Rafael

Published
2019
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33. Spanish validation of the Barcelona TEMPS-A questionnaire in patients with bipolar disorder and general population

Author

Jiménez, Esther, Bonnín, Caterina del Mar, Solé, Brisa, Sánchez-Moreno, Jose, Reinares, María, Torrent, Carla, Torres, Imma, Salagre, Estela, Varo, Cristina, Ruíz, Victoria, Giménez, Anna, Benabarre, Antoni, Gutiérrez-Rojas, Luís, Cervilla, Jorge, Sáiz, Pilar A., García-Portilla, M Paz, Bobes, Julio, Amann, Benedikt L., Martínez-Arán, Anabel, and Vieta, Eduard

Published
2019
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38. Smoking does not impact social and non-social cognition in patients with first episode psychosis

Author

Vieta, Eduard, Martínez-Arán, Anabel, Castro-Fornieles, Josefina, Baeza, Inmaculada, Bioque, Miguel, Mezquida, Gisela, Lopez-Ilundain, Jose M., Alonso, Anna, Rabela, Mireia, López, Purificación, Zorrilla, Iñaki, Arbej, Julio, Rivero, Gonzalo, Aguilar, Eduardo J., Mané, Anna, Bergé, Daniel, Contreras, Fernando, Albacete, Auria, García-Álvarez, Leticia, Al-Halabí, Susana, Gutiérrez, Miguel, Segarra, Rafael, Morales-Muñoz, Isabel, Rodriguez-Jimenez, Roberto, Butjosa, Anna, Usall, Judith, Sarró, Salvador, Landín-Romero, Ramón, Ruiz, Jerónimo Saiz, Balanzá, Vicent, Sánchez-Gutiérrez, Teresa, García-Portilla, M. Paz, Parellada, Mara, Bobes, Julio, Calvo, Ana, Moreno-Izco, Lucía, González-Pinto, Ana, Lobo, Antonio, de la Serna, Elena, Cabrera, Bibiana, Torrent, Carla, Roldán, Laura, Sanjuan, Julio, Ibáñez, Ángela, Sánchez-Torres, Ana María, Corripio, Iluminada, Bernardo, Miquel, and Cuesta, Manuel J.

Published
2018
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45. Do patients with bipolar disorder and subsyndromal symptoms benefit from functional remediation? A 12-month follow-up study

Author

Sanchez-Moreno, Jose, Bonnín, Caterina, González-Pinto, Ana, Amann, Benedikt L., Solé, Brisa, Balanzá-Martínez, Vicent, Arango, Celso, Jimenez, Esther, Tabarés-Seisdedos, Rafael, Garcia-Portilla, M. Paz, Ibáñez, Angela, Crespo, Jose Manuel, Ayuso-Mateos, Jose Luis, Vieta, Eduard, Martinez-Aran, Anabel, and Torrent, Carla

Published
2017
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48. Vickybot, a chatbot for anxiety-depressive symptoms and work-related burnout

Author

Anmella, G., primary, Sanabra, M., additional, Primé-tous, M., additional, Segú, X., additional, Cavero, M., additional, Navinés, R., additional, Mas, A., additional, Olivé, V., additional, Pujol, L., additional, Quesada, S., additional, Pio, C., additional, Villegas, M., additional, Grande, I., additional, Morilla, I., additional, Martínez-Aran, A., additional, Ruiz, V., additional, Vieta, E., additional, and Hidalgo-Mazzei, D., additional

Published
2023
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49. Functional remediation program effectiveness depending on sex

Author

Serra-Navarro, M., primary, Torrent, C., additional, Amoretti, S., additional, Martínez-Aran, A., additional, Solé, B., additional, González-Pinto, A., additional, Amann, B.L., additional, Balanzá-Martínez, V., additional, Arango, C., additional, Tabarés-Seisdedos, R., additional, García-Portilla, M.P., additional, Ibáñez, Á., additional, Crespo, J.M., additional, Ayuso-Mateos, J.L., additional, and Vieta, E., additional

Published
2023
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