LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 65

Search options

  1. Article ; Online: Teratogenicity of valproate: Further reasons for action.

    Anmella, Gerard / Vieta, Eduard

    European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology

    2023  Volume 80, Page(s) 25–26

    MeSH term(s) Valproic Acid/adverse effects ; Anticonvulsants/adverse effects
    Chemical Substances Valproic Acid (614OI1Z5WI) ; Anticonvulsants
    Language English
    Publishing date 2023-12-21
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1082947-7
    ISSN 1873-7862 ; 0924-977X
    ISSN (online) 1873-7862
    ISSN 0924-977X
    DOI 10.1016/j.euroneuro.2023.11.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Letter to the editor about the article "Psychiatric disorders in post-acute COVID-syndrome 3 (PDPACS): Recommendations for health care professionals" (Falconi A et al., 2022).

    Llach, Cristian-Daniel / Anmella, Gerard

    European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology

    2022  Volume 59, Page(s) 56–57

    MeSH term(s) COVID-19/complications ; Health Personnel ; Humans ; Mental Disorders/complications ; Mental Disorders/diagnosis ; SARS-CoV-2
    Language English
    Publishing date 2022-05-09
    Publishing country Netherlands
    Document type Letter ; Comment
    ZDB-ID 1082947-7
    ISSN 1873-7862 ; 0924-977X
    ISSN (online) 1873-7862
    ISSN 0924-977X
    DOI 10.1016/j.euroneuro.2022.04.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: The long path ahead of robotics in psychiatry.

    Anmella, Gerard / Sanabra, Miriam / Mas-Musons, Ariadna / Hidalgo-Mazzei, Diego

    European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology

    2023  Volume 73, Page(s) 19–20

    MeSH term(s) Robotics ; Psychiatry ; Algorithms
    Language English
    Publishing date 2023-04-27
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 1082947-7
    ISSN 1873-7862 ; 0924-977X
    ISSN (online) 1873-7862
    ISSN 0924-977X
    DOI 10.1016/j.euroneuro.2023.04.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Combining digital with peripheral biomarkers in bipolar disorder.

    Anmella, Gerard / Sanabra, Miriam / Mas-Musons, Ariadna / Hidalgo-Mazzei, Diego

    European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology

    2022  Volume 63, Page(s) 71–72

    MeSH term(s) Biomarkers ; Bipolar Disorder/diagnosis ; Humans
    Chemical Substances Biomarkers
    Language English
    Publishing date 2022-09-06
    Publishing country Netherlands
    Document type Letter ; Research Support, Non-U.S. Gov't
    ZDB-ID 1082947-7
    ISSN 1873-7862 ; 0924-977X
    ISSN (online) 1873-7862
    ISSN 0924-977X
    DOI 10.1016/j.euroneuro.2022.07.187
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Foundations for safer evidence-based digital health technologies under construction.

    Valenzuela-Pascual, Clàudia / Anmella, Gerard / Sanabra, Miriam / Mas-Musons, Ariadna / Hidalgo-Mazzei, Diego

    European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology

    2023  Volume 75, Page(s) 39–40

    MeSH term(s) Telemedicine ; Evidence-Based Medicine ; Biomedical Technology
    Language English
    Publishing date 2023-07-13
    Publishing country Netherlands
    Document type Letter ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 1082947-7
    ISSN 1873-7862 ; 0924-977X
    ISSN (online) 1873-7862
    ISSN 0924-977X
    DOI 10.1016/j.euroneuro.2023.06.009
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article ; Online: A Manic Episode With Psychotic Features Associated With Levetiracetam: A Case Report, a Proposal of Prodromal and Discriminative Symptoms and a Possible Pathophysiological Mechanism.

    Stoppa, Aldo / Anmella, Gerard / Delgado, Luis / Vallès, Vicenç / Pintor, Luis

    Journal of clinical psychopharmacology

    2022  Volume 42, Issue 3, Page(s) 316–317

    MeSH term(s) Bipolar Disorder/chemically induced ; Bipolar Disorder/diagnosis ; Bipolar Disorder/drug therapy ; Humans ; Levetiracetam/adverse effects ; Mania ; Psychotic Disorders/diagnosis ; Psychotic Disorders/drug therapy
    Chemical Substances Levetiracetam (44YRR34555)
    Language English
    Publishing date 2022-02-03
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 604631-9
    ISSN 1533-712X ; 0271-0749
    ISSN (online) 1533-712X
    ISSN 0271-0749
    DOI 10.1097/JCP.0000000000001525
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: Physical health in affective disorders: a narrative review of the literature.

    Colomer, Lluc / Anmella, Gerard / Vieta, Eduard / Grande, Iria

    Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)

    2020  Volume 43, Issue 6, Page(s) 621–630

    Abstract: This article reviews the most common non-psychiatric comorbidities associated with affective disorders, examining the implications of their possible bidirectional link. A narrative review was conducted on the association among the three most common non- ... ...

    Abstract This article reviews the most common non-psychiatric comorbidities associated with affective disorders, examining the implications of their possible bidirectional link. A narrative review was conducted on the association among the three most common non-psychiatric diseases in major depressive disorder and bipolar disorder (obesity, metabolic syndrome, and cardiovascular diseases) in articles published from January 1994 to April 2020. The evidence suggests that obesity, metabolic syndrome, and cardiovascular diseases are highly prevalent in patients diagnosed with affective disorders. The presence of non-psychiatric comorbidities significantly worsens the therapeutic management and prognosis of affective disorders and vice versa. In many cases, these comorbidities may precede the onset of affective disorders, although in most cases they appear after it. The presence of these concurrent non-psychiatric diseases in an individual diagnosed with an affective disorder is associated with a more complex disease presentation and management. For professionals, the evidence unequivocally supports routine surveillance of comorbidities from a multidisciplinary approach.
    MeSH term(s) Bipolar Disorder/epidemiology ; Comorbidity ; Depressive Disorder, Major ; Humans ; Metabolic Syndrome/epidemiology ; Mood Disorders/epidemiology
    Language English
    Publishing date 2020-11-03
    Publishing country Brazil
    Document type Journal Article ; Review
    ISSN 1809-452X
    ISSN (online) 1809-452X
    DOI 10.1590/1516-4446-2020-1246
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Commentary on: "Make lithium great again!"

    Anmella, Gerard / Vieta, Eduard / Hidalgo-Mazzei, Diego

    Bipolar disorders

    2020  Volume 23, Issue 1, Page(s) 90–91

    Language English
    Publishing date 2020-09-30
    Publishing country Denmark
    Document type Journal Article ; Comment
    ZDB-ID 1472242-2
    ISSN 1399-5618 ; 1398-5647
    ISSN (online) 1399-5618
    ISSN 1398-5647
    DOI 10.1111/bdi.12998
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Impact of cognitive reserve in clinical, neurocognitive and lifestyle factors in chronic schizophrenia and early stages of schizophrenia.

    Amoretti, Silvia / Anmella, Gerard / Bernardo, Miquel / Alfonso, Miqueu / Hernandez, Carla / García-Portilla, María Paz / González-Blanco, Leticia / Safont, Gemma / Garrido, Ignasi / Sanchez-Autet, Monica / Arranz, Belén

    Spanish journal of psychiatry and mental health

    2024  

    Abstract: Introduction: Although there is evidence that higher cognitive reserve (CR) is a protective factor and it has been related to better prognosis, there have been no studies to date that have explored the CR level and its impact in clinical, neurocognitive ...

    Abstract Introduction: Although there is evidence that higher cognitive reserve (CR) is a protective factor and it has been related to better prognosis, there have been no studies to date that have explored the CR level and its impact in clinical, neurocognitive and lifestyle outcomes according to the stage of the disease: early stage of psychosis (ESP) or chronic schizophrenia (SCZ).
    Material and methods: A total of 60 patients in the ESP and 225 patients with SCZ were enrolled in the study. To test the predictive capacity of CR for each diagnostic group, a logistic regression analysis was conducted. Hierarchical linear regression analyses were performed to explore the associations between CR and different outcomes. The mediation analyses were performed according to the principles of Baron and Kenny.
    Results: Patients with SCZ showed lower CR than those in the ESP (p<0.001). CR correctly classified 79.6% of the cases (p<0.001; Exp(B)=1.062). In ESP group, CR was related to working memory (p=0.030) and negative symptoms (p=0.027). CR (t=3.925, p<0.001) and cannabis use (t=2.023, p=0.048) explained 26.7% of the variance on functioning (p=0.003). In patients with SCZ, CR predicted all cognitive domains, negative symptoms (R
    Conclusions: The implications of CR depend on the stage of the disease (ESP vs. SCZ), with a greater effect on neurocognition and negative symptoms in patients with chronic SCZ.
    Language English
    Publishing date 2024-01-11
    Publishing country Spain
    Document type Journal Article
    ISSN 2950-2853
    ISSN (online) 2950-2853
    DOI 10.1016/j.sjpmh.2024.01.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: Automated mood disorder symptoms monitoring from multivariate time-series sensory data: getting the full picture beyond a single number.

    Corponi, Filippo / Li, Bryan M / Anmella, Gerard / Mas, Ariadna / Pacchiarotti, Isabella / Valentí, Marc / Grande, Iria / Benabarre, Antoni / Garriga, Marina / Vieta, Eduard / Lawrie, Stephen M / Whalley, Heather C / Hidalgo-Mazzei, Diego / Vergari, Antonio

    Translational psychiatry

    2024  Volume 14, Issue 1, Page(s) 161

    Abstract: Mood disorders (MDs) are among the leading causes of disease burden worldwide. Limited specialized care availability remains a major bottleneck thus hindering pre-emptive interventions. MDs manifest with changes in mood, sleep, and motor activity, ... ...

    Abstract Mood disorders (MDs) are among the leading causes of disease burden worldwide. Limited specialized care availability remains a major bottleneck thus hindering pre-emptive interventions. MDs manifest with changes in mood, sleep, and motor activity, observable in ecological physiological recordings thanks to recent advances in wearable technology. Therefore, near-continuous and passive collection of physiological data from wearables in daily life, analyzable with machine learning (ML), could mitigate this problem, bringing MDs monitoring outside the clinician's office. Previous works predict a single label, either the disease state or a psychometric scale total score. However, clinical practice suggests that the same label may underlie different symptom profiles, requiring specific treatments. Here we bridge this gap by proposing a new task: inferring all items in HDRS and YMRS, the two most widely used standardized scales for assessing MDs symptoms, using physiological data from wearables. To that end, we develop a deep learning pipeline to score the symptoms of a large cohort of MD patients and show that agreement between predictions and assessments by an expert clinician is clinically significant (quadratic Cohen's κ and macro-average F1 score both of 0.609). While doing so, we investigate several solutions to the ML challenges associated with this task, including multi-task learning, class imbalance, ordinal target variables, and subject-invariant representations. Lastly, we illustrate the importance of testing on out-of-distribution samples.
    MeSH term(s) Humans ; Mood Disorders/diagnosis ; Affect ; Machine Learning ; Sleep
    Language English
    Publishing date 2024-03-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2609311-X
    ISSN 2158-3188 ; 2158-3188
    ISSN (online) 2158-3188
    ISSN 2158-3188
    DOI 10.1038/s41398-024-02876-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top