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Sánchez-Ortí JV, Correa-Ghisays P, Balanzá-Martínez V, Selva-Vera G, Vila-Francés J, Magdalena-Benedito R, San-Martin C, Victor VM, Escribano-Lopez I, Hernandez-Mijares A, Vivas-Lalinde J, Crespo-Facorro B, Tabarés-Seisdedos R. Inflammation and lipid metabolism as potential biomarkers of memory impairment across type 2 diabetes mellitus and severe mental disorders. Prog Neuropsychopharmacol Biol Psychiatry 2023; 127:110817. [PMID: 37327846 DOI: 10.1016/j.pnpbp.2023.110817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 05/20/2023] [Accepted: 06/12/2023] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Neurocognitive impairment is a transdiagnostic feature across several psychiatric and cardiometabolic conditions. The relationship between inflammatory and lipid metabolism biomarkers and memory performance is not fully understood. This study aimed to identify peripheral biomarkers suitable to signal memory decline from a transdiagnostic and longitudinal perspective. METHODS Peripheral blood biomarkers of inflammation, oxidative stress and lipid metabolism were assessed twice over a 1-year period in 165 individuals, including 30 with schizophrenia (SZ), 42 with bipolar disorder (BD), 35 with major depressive disorder (MDD), 30 with type 2 diabetes mellitus (T2DM), and 28 healthy controls (HCs). Participants were stratified by memory performance quartiles, taking as a reference their global memory score (GMS) at baseline, into categories of high memory (H; n = 40), medium to high memory (MH; n = 43), medium to low memory (ML; n = 38) and low memory (L; n = 44). Exploratory and confirmatory factorial analysis, mixed one-way analysis of covariance and discriminatory analyses were performed. RESULTS L group was significantly associated with higher levels of tumor necrosis factor-alpha (TNF-α) and lower levels of apolipoprotein A1 (Apo-A1) compared to those from the MH and H groups (p < 0.05; η2p = 0.06-0.09), with small to moderate effect sizes. Moreover, the combination of interleukin-6 (IL-6), TNF-α, c-reactive protein (CRP), Apo-A1 and Apo-B compounded the transdiagnostic model that best discriminated between groups with different degrees of memory impairment (χ2 = 11.9-49.3, p < 0.05-0.0001). CONCLUSIONS Inflammation and lipid metabolism seem to be associated with memory across T2DM and severe mental illnesses (SMI). A panel of biomarkers may be a useful approach to identify individuals at greater risk of neurocognitive impairment. These findings may have a potential translational utility for early intervention and advance precision medicine in these disorders.
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Affiliation(s)
- Joan Vicent Sánchez-Ortí
- INCLIVA - Health Research Institute, Valencia, Spain; TMAP - Evaluation Unit in Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain; Faculty of Psychology, University of Valencia, Valencia, Spain
| | - Patricia Correa-Ghisays
- INCLIVA - Health Research Institute, Valencia, Spain; Center for Biomedical Research in Mental Health Network (CIBERSAM), Health Institute, Carlos III, Madrid, Spain; TMAP - Evaluation Unit in Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain; Faculty of Psychology, University of Valencia, Valencia, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain.
| | - Vicent Balanzá-Martínez
- INCLIVA - Health Research Institute, Valencia, Spain; Center for Biomedical Research in Mental Health Network (CIBERSAM), Health Institute, Carlos III, Madrid, Spain; TMAP - Evaluation Unit in Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain; Mental Health Unit of Catarroja, Valencia, Spain.
| | - Gabriel Selva-Vera
- INCLIVA - Health Research Institute, Valencia, Spain; Center for Biomedical Research in Mental Health Network (CIBERSAM), Health Institute, Carlos III, Madrid, Spain; TMAP - Evaluation Unit in Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
| | - Joan Vila-Francés
- IDAL - Intelligent Data Analysis Laboratory, University of Valencia, Valencia, Spain
| | | | - Constanza San-Martin
- Center for Biomedical Research in Mental Health Network (CIBERSAM), Health Institute, Carlos III, Madrid, Spain; TMAP - Evaluation Unit in Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain; Department of Physiotherapy, University of Valencia, Valencia, Spain
| | - Víctor M Victor
- Service of Endocrinology and Nutrition, University Hospital Dr. Peset, Spain; Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia, Spain; Department of Physiology, University of Valencia, Valencia, Spain
| | | | | | | | - Benedicto Crespo-Facorro
- Center for Biomedical Research in Mental Health Network (CIBERSAM), Health Institute, Carlos III, Madrid, Spain; Department of Psychiatry, Faculty of Medicine, University of Sevilla, HU Virgen del Rocío IBIS, Spain
| | - Rafael Tabarés-Seisdedos
- INCLIVA - Health Research Institute, Valencia, Spain; Center for Biomedical Research in Mental Health Network (CIBERSAM), Health Institute, Carlos III, Madrid, Spain; TMAP - Evaluation Unit in Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
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Garés-Caballer M, Sánchez-Ortí JV, Correa-Ghisays P, Balanzá-Martínez V, Selva-Vera G, Vila-Francés J, Magdalena-Benedito R, San-Martin C, Victor VM, Escribano-Lopez I, Hernandez-Mijares A, Vivas-Lalinde J, Vieta E, Leza JC, Tabarés-Seisdedos R. Immune–Inflammatory Biomarkers Predict Cognition and Social Functioning in Patients With Type 2 Diabetes Mellitus, Major Depressive Disorder, Bipolar Disorder, and Schizophrenia: A 1-Year Follow-Up Study. Front Neurol 2022; 13:883927. [PMID: 35720107 PMCID: PMC9201031 DOI: 10.3389/fneur.2022.883927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 04/19/2022] [Indexed: 11/30/2022] Open
Abstract
Background Systemic, low-grade immune–inflammatory activity, together with social and neurocognitive performance deficits are a transdiagnostic trait of people suffering from type 2 diabetes mellitus (T2DM) and severe mental illnesses (SMIs), such as schizophrenia (SZ), major depressive disorder (MDD), and bipolar disorder (BD). We aimed to determine if immune–inflammatory mediators were significantly altered in people with SMIs or T2DM compared with healthy controls (HC) and whether these biomarkers could help predict their cognition and social functioning 1 year after assessment. Methods We performed a prospective, 1-year follow-up cohort study with 165 participants at baseline (TB), including 30 with SZ, 42 with BD, 35 with MDD, 30 with T2DM, and 28 HC; and 125 at 1-year follow-up (TY), and determined executive domain (ED), global social functioning score (GSFS), and peripheral blood immune–inflammatory and oxidative stress biomarkers. Results Participants with SMIs and T2DM showed increased peripheral levels of inflammatory markers, such as interleukin-10 (p < 0.01; η2p = 0.07) and tumor necrosis factor-α (p < 0.05; η2p = 0.08); and oxidative stress biomarkers, such as reactive oxygen species (ROS) (p < 0.05; η2p = 0.07) and mitochondrial ROS (p < 0.01; η2p = 0.08). The different combinations of the exposed biomarkers anticipated 46–57.3% of the total ED and 23.8–35.7% of GSFS for the participants with SMIs. Limitations Participants' treatment, as usual, was continued without no specific interventions; thus, it was difficult to anticipate substantial changes related to the psychopharmacological pattern. Conclusion People with SMIs show significantly increased levels of peripheral immune–inflammatory biomarkers, which may contribute to the neurocognitive and social deficits observed in SMIs, T2DM, and other diseases with systemic immune–inflammatory activation of chronic development. These parameters could help identify the subset of patients who could benefit from immune–inflammatory modulator strategies to ameliorate their functional outcomes.
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Affiliation(s)
- Marta Garés-Caballer
- Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
| | - Joan Vicent Sánchez-Ortí
- INCLIVA—Health Research Institute, Valencia, Spain
- TMAP—Evaluation Unit of Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain
- Faculty of Psychology and Speech Therapy, University of Valencia, Valencia, Spain
| | - Patricia Correa-Ghisays
- INCLIVA—Health Research Institute, Valencia, Spain
- TMAP—Evaluation Unit of Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain
- Faculty of Psychology and Speech Therapy, University of Valencia, Valencia, Spain
- Center for Biomedical Research in Mental Health Network (CIBERSAM), Institute of Health Carlos III, Madrid, Spain
| | - Vicent Balanzá-Martínez
- Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
- INCLIVA—Health Research Institute, Valencia, Spain
- TMAP—Evaluation Unit of Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain
- Center for Biomedical Research in Mental Health Network (CIBERSAM), Institute of Health Carlos III, Madrid, Spain
- Mental Health Unit of Catarroja, Valencia, Spain
| | - Gabriel Selva-Vera
- Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
- INCLIVA—Health Research Institute, Valencia, Spain
- TMAP—Evaluation Unit of Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain
- Center for Biomedical Research in Mental Health Network (CIBERSAM), Institute of Health Carlos III, Madrid, Spain
| | - Joan Vila-Francés
- IDAL—Intelligent Data Analysis Laboratory, University of Valencia, Valencia, Spain
| | | | - Constanza San-Martin
- INCLIVA—Health Research Institute, Valencia, Spain
- TMAP—Evaluation Unit of Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain
- Department of Physiotherapy, University of Valencia, Valencia, Spain
| | - Victor M. Victor
- Service of Endocrinology and Nutrition, University Hospital Dr. Peset, Valencia, Spain
- Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia, Spain
- Department of Physiology, University of Valencia, Valencia, Spain
| | - Irene Escribano-Lopez
- Service of Endocrinology and Nutrition, University Hospital Dr. Peset, Valencia, Spain
| | | | | | - Eduard Vieta
- Center for Biomedical Research in Mental Health Network (CIBERSAM), Institute of Health Carlos III, Madrid, Spain
- Barcelona Bipolar and Depressive Disorders Unit, Institute of Neurosciences, Hospital Clínic of Barcelona, University of Barcelona, IDIBAPS, Catalonia, Spain
| | - Juan C. Leza
- Center for Biomedical Research in Mental Health Network (CIBERSAM), Institute of Health Carlos III, Madrid, Spain
- Department of Pharmacology and Toxicology, Faculty of Medicine, Complutense University of Madrid, Madrid, Spain
| | - Rafael Tabarés-Seisdedos
- Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
- INCLIVA—Health Research Institute, Valencia, Spain
- TMAP—Evaluation Unit of Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain
- Center for Biomedical Research in Mental Health Network (CIBERSAM), Institute of Health Carlos III, Madrid, Spain
- *Correspondence: Rafael Tabarés-Seisdedos
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Is processing speed a valid neurocognitive endophenotype in bipolar disorder? Evidence from a longitudinal, family study. J Psychiatr Res 2021; 141:241-247. [PMID: 34256275 DOI: 10.1016/j.jpsychires.2021.07.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 06/30/2021] [Accepted: 07/05/2021] [Indexed: 11/21/2022]
Abstract
BACKGROUND Substantial evidence supports the existence of neurocognitive endophenotypes in bipolar disorder (BD), but very few longitudinal studies have included unaffected relatives. In a 5-year, follow-up, family study, we have recently suggested that deficits in manual motor speed and visual memory could be endophenotype candidates for BD. We aimed to explore whether this also applies to processing speed. METHODS A sample of 348 individuals, including 163 BD patients, 65 unaffected first-degree relatives (BD-Rel) and 120 genetically unrelated healthy controls (HC), was assessed with the Digit Symbol Substitution Test (DSST) on two occasions over a 2-year period (T1, T2). DSST values were controlled for age, years of education, occupational status, and subsyndromic mood symptoms. Differences between groups were evaluated with ANCOVAs. RESULTS At T1 BD performed significantly worse than HC (p < 0.001; Cohen's d = 1.38) and BD-Rel (p < 0.001; Cohen's d = 0.82). BD-Rel showed an intermediate performance with significant differences with HC (p < 0.01; Cohen's d = 0.50). Similarly, at T2 BD performed significantly worse than HC (p < 0.001; Cohen's d = 1.44) and BD-Rel (p < 0.01; Cohen's d = 0.51). BD-Rel performance was intermediate and significantly lower than that of HC (p < 0.01; Cohen's d = 0.97). A Repeated Measures ANOVA revealed no significant between-group differences in performance over time (p > 0.05). CONCLUSIONS The results of this longitudinal, family study suggest that impaired processing speed may represent a suitable cognitive endophenotype for BD. Further research on the field is required to confirm these preliminary findings.
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Aliño-Dies M, Sánchez-Ortí JV, Correa-Ghisays P, Balanzá-Martínez V, Vila-Francés J, Selva-Vera G, Correa-Estrada P, Forés-Martos J, San-Martín Valenzuela C, Monfort-Pañego M, Ayesa-Arriola R, Ruiz-Veguilla M, Crespo-Facorro B, Tabarés-Seisdedos R. Grip Strength, Neurocognition, and Social Functioning in People WithType-2 Diabetes Mellitus, Major Depressive Disorder, Bipolar Disorder, and Schizophrenia. Front Psychol 2020; 11:525231. [PMID: 33324271 PMCID: PMC7723830 DOI: 10.3389/fpsyg.2020.525231] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 10/30/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Frailty is a common syndrome among older adults and patients with several comorbidities. Grip strength (GS) is a representative parameter of frailty because it is a valid indicator of current and long-term physical conditions in the general population and patients with severe mental illnesses (SMIs). Physical and cognitive capacities of people with SMIs are usually impaired; however, their relationship with frailty or social functioning have not been studied to date. The current study aimed to determine if GS is a valid predictor of changes in cognitive performance and social functioning in patients with type-2 diabetes mellitus and SMIs. METHODS Assessments of social functioning, cognitive performance, and GS (measured with an electronic dynamometer) were conducted in 30 outpatients with type 2 diabetes mellitus, 35 with major depressive disorder, 42 with bipolar disorder, 30 with schizophrenia, and 28 healthy controls, twice during 1-year, follow-up period. Descriptive analyses were conducted using a one-way analysis of variance for continuous variables and the chi-squared test for categorical variables. Differences between groups for the motor, cognitive, and social variables at T1 and T2 were assessed using a one-way analysis of covariance, with sex and age as co-variates (p < 0.01). To test the predictive capacity of GS at baseline to explain the variance in cognitive performance and social functioning at T2, a linear regression analysis was performed (p < 0.05). RESULTS Predictive relationships were found among GS when implicated with clinical, cognitive, and social variables. These relationships explained changes in cognitive performance after one year of follow-up; the variability percentage was 67.7%, in patients with type-2 diabetes mellitus and 89.1% in patients with schizophrenia. Baseline GS along with other variables, also predicted changes in social functioning in major depressive disorder, bipolar disorder, and schizophrenia, with variability percentages of 67.3, 36, and 59%, respectively. CONCLUSION GS combined with other variables significantly predicted changes in cognitive performance and social functioning in people with SMIs or type-2 diabetes mellitus. Interventions aimed to improve the overall physical conditions of patients who have poor GS could be a therapeutic option that confers positive effects on cognitive performance and social functioning.
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Affiliation(s)
- María Aliño-Dies
- Department of Medicine, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain
| | - Joan Vicent Sánchez-Ortí
- Department of Medicine, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain
- Faculty of Psychology, University of Valencia, Valencia, Spain
- TMAP – Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia, Spain
| | - Patricia Correa-Ghisays
- Faculty of Psychology, University of Valencia, Valencia, Spain
- TMAP – Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia, Spain
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- INCLIVA Health Research Institute, Valencia, Spain
| | - Vicent Balanzá-Martínez
- Department of Medicine, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain
- TMAP – Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia, Spain
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
| | - Joan Vila-Francés
- IDAL – Intelligent Data Analysis Laboratory, University of Valencia, Valencia, Spain
| | - Gabriel Selva-Vera
- Department of Medicine, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain
- TMAP – Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia, Spain
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- INCLIVA Health Research Institute, Valencia, Spain
| | | | - Jaume Forés-Martos
- Department of Medicine, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain
- TMAP – Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia, Spain
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- INCLIVA Health Research Institute, Valencia, Spain
| | - Constanza San-Martín Valenzuela
- TMAP – Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia, Spain
- Department of Physiotherapy, Faculty of Physiotherapy, University of Valencia, Valencia, Spain
| | - Manuel Monfort-Pañego
- Department of Physical Education Teacher Training, University of Valencia, Valencia, Spain
| | - Rosa Ayesa-Arriola
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain
| | - Miguel Ruiz-Veguilla
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- Hospital Universitario Virgen del Roció-IBIS, University of Sevilla, Seville, Spain
| | - Benedicto Crespo-Facorro
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- Hospital Universitario Virgen del Roció-IBIS, University of Sevilla, Seville, Spain
| | - Rafael Tabarés-Seisdedos
- Department of Medicine, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain
- TMAP – Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, University of Valencia, Valencia, Spain
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- INCLIVA Health Research Institute, Valencia, Spain
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Nogueira TA, da Silva LD, Cera ML. Phonetic-phonological performance of typical younger and aged adults from Brazil's capital city. Dement Neuropsychol 2020; 14:308-314. [PMID: 32973984 PMCID: PMC7500818 DOI: 10.1590/1980-57642020dn14-030012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 05/04/2020] [Indexed: 11/21/2022] Open
Abstract
Given the sociodemographic diversity in Brazil, it is fundamental to understand the speech performance of a sample from the Brazilian capital. The repetition task can assess phonological and motor-phonetic planning. Previous studies found phonological-phonetic performance of speakers to be associated with education, age, and other demographic factors. OBJECTIVES To compare the phonetic-phonological performance for speech of younger and aged adults in the capital of Brazil, Federal District (FD); to compare FD performance against national normative means based on São Paulo; to determine the association of phonetic-phonological agility with sociodemographic, cognitive, and neuropsychiatric variables for the sample. METHODS Cross-sectional study. A total of 60 volunteers from the FD, comprising 30 older adults and 30 younger ones, were stratified by education into two subgroups: 2‒7 years and ≥8 years of education. Data on age, educational level, and socioeconomic status were collected. The Verbal Agility subtest of the Boston Diagnostic Aphasia Examination was applied to assess phonetic-phonological performance. RESULTS No statistically significant difference in performance for verbal agility was found between aged and younger adults from the FD. There was a statistically significant difference in the phonetic-phonological performance of the FD sample compared with the Brazilian normative mean values. Cognitive and socioeconomic variables were associated with verbal agility. CONCLUSIONS In the capital of Brazil, economic status, age, education, and cognitive variables were associated with verbal agility performance, despite there being no difference in phonetic-phonological performance between younger and aged adult groups. Regional differences in phonetic-phonological performance were also evident.
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Correa-Ghisays P, Sánchez-Ortí JV, Ayesa-Arriola R, Setién-Suero E, Balanzá-Martínez V, Selva-Vera G, Ruiz-Ruiz JC, Vila-Francés J, Martinez-Aran A, Vivas-Lalinde J, Conforte-Molina C, San-Martín C, Martínez-Pérez C, Fuentes-Durá I, Crespo-Facorro B, Tabarés-Seisdedos R. Visual memory dysfunction as a neurocognitive endophenotype in bipolar disorder patients and their unaffected relatives. Evidence from a 5-year follow-up Valencia study. J Affect Disord 2019; 257:31-37. [PMID: 31299402 DOI: 10.1016/j.jad.2019.06.059] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 06/26/2019] [Accepted: 06/30/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND Scarce research has focused on Visual Memory (VM) deficits as a possible neurocognitive endophenotype of bipolar disorder (BD). The main aim of this longitudinal, family study with healthy controls was to explore whether VM dysfunction represents a neurocognitive endophenotype of BD. METHODS Assessment of VM by Rey-Osterrieth Complex Figure Test (ROCF) was carried out on a sample of 317 subjects, including 140 patients with BD, 60 unaffected first-degree relatives (BD-Rel), and 117 genetically-unrelated healthy controls (HC), on three occasions over a 5-year period (T1, T2, and T3). BD-Rel group scores were analyzed only at T1 and T2. RESULTS Performance of BD patients was significantly worse than the HC group (p < 0.01). Performance of BD-Rel was also significantly different from HC scores at T1 (p < 0.01) and T2 (p = 0.05), and showed an intermediate profile between the BD and HC groups. Only among BD patients, there were significant differences according to sex, with females performing worse than males (p = 0.03). Regarding other variables, education represented significant differences only in average scores of BD-Rel group (p = 0.01). LIMITATIONS Important attrition in BD-Rel group over time was detected, which precluded analysis at T3. CONCLUSIONS BD patients show significant deficits in VM that remain stable over time, even after controlling sociodemographic and clinical variables. Unaffected relatives also show stable deficits in VM. Accordingly, the deficit in VM could be considered a potential endophenotype of BD, which in turn may be useful as a predictor of the evolution of the disease. Further studies are needed to confirm these findings.
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Affiliation(s)
- Patricia Correa-Ghisays
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain; Faculty of Psychology, University of Valencia, Valencia, Spain; INCLIVA Health Research Institute, Valencia, Spain; TMAP Unidad de evaluación en autonomía personal, dependencia y trastornos mentales graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Joan Vicent Sánchez-Ortí
- Faculty of Psychology, University of Valencia, Valencia, Spain; TMAP Unidad de evaluación en autonomía personal, dependencia y trastornos mentales graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Rosa Ayesa-Arriola
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain; University Hospital Marqués de Valdecilla. Department of Psychiatry, IDIVAL, Santander, Spain; Department of Psychiatry, IDIVAL, School of Medicine, Marqués de Valdecilla University Hospital, University of Cantabria, Santander, Spain
| | - Esther Setién-Suero
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain; University Hospital Marqués de Valdecilla. Department of Psychiatry, IDIVAL, Santander, Spain; Department of Psychiatry, IDIVAL, School of Medicine, Marqués de Valdecilla University Hospital, University of Cantabria, Santander, Spain
| | - Vicent Balanzá-Martínez
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain; TMAP Unidad de evaluación en autonomía personal, dependencia y trastornos mentales graves, Department of Medicine, University of Valencia, Valencia, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
| | - Gabriel Selva-Vera
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain; INCLIVA Health Research Institute, Valencia, Spain; TMAP Unidad de evaluación en autonomía personal, dependencia y trastornos mentales graves, Department of Medicine, University of Valencia, Valencia, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
| | | | - Joan Vila-Francés
- IDAL - Intelligent Data Analysis Laboratory, University of Valencia, Valencia, Spain
| | - Anabel Martinez-Aran
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain; Bipolar Disorders Unit, Neurosciences Institute, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Catalonia, Spain
| | | | | | - Constanza San-Martín
- TMAP Unidad de evaluación en autonomía personal, dependencia y trastornos mentales graves, Department of Medicine, University of Valencia, Valencia, Spain; Departament of Physioterapiy, University of Valencia, Valencia, Spain
| | | | | | - Benedicto Crespo-Facorro
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain; Hospital Universitario Virgen del Rocio, Universidad de Sevilla, Spain
| | - Rafael Tabarés-Seisdedos
- Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain; INCLIVA Health Research Institute, Valencia, Spain; TMAP Unidad de evaluación en autonomía personal, dependencia y trastornos mentales graves, Department of Medicine, University of Valencia, Valencia, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain.
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De Picker LJ, Cornelis C, Hulstijn W, Dumont G, Fransen E, Timmers M, Janssens L, Morrens M, Sabbe BGC. Stable schizophrenia patients learn equally well as age-matched controls and better than elderly controls in two sensorimotor rotary pursuit tasks. Front Psychiatry 2014; 5:165. [PMID: 25505425 PMCID: PMC4241745 DOI: 10.3389/fpsyt.2014.00165] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2014] [Accepted: 11/06/2014] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE To compare sensorimotor performance and learning in stable schizophrenia patients, healthy age- and sex-matched controls and elderly controls on two variations of the rotary pursuit: circle pursuit (true motor learning) and figure pursuit (motor and sequence learning). METHOD In the circle pursuit, a target circle, rotating with increasing speed along a predictable circular path on the computer screen, must be followed by a cursor controlled by a pen on a writing tablet. In the eight-trial figure pursuit, subjects learn to draw a complex figure by pursuing the target circle that moves along an invisible trajectory between and around several goals. Tasks were administered thrice (day 1, day 2, day 7) to 30 patients with stable schizophrenia (S), 30 healthy age- and sex-matched controls (C), and 30 elderly participants (>65 years; E) and recorded with a digitizing tablet and pressure-sensitive pen. The outcome measure accuracy (% of time that cursor is within the target) was used to assess performance. RESULTS We observed significant group differences in accuracy, both in circle and figure pursuit tasks (E < S < C, p < 0.01). Strong learning effects were found in each group. Learning curves were similar in circle pursuit but differed between groups in figure pursuit. When corrected for group differences in starting level, the learning gains over the three sessions of schizophrenia patients and age-matched controls were equal and both were larger than those of the elderly controls. CONCLUSION Despite the reduced sensorimotor performance that was found in the schizophrenia patients, their sensorimotor learning seems to be preserved. The relevance of this finding for the evaluation of procedural learning in schizophrenia is discussed. The better performance and learning rate of the patients compared to the elderly controls was unexpected and deserves further study.
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Affiliation(s)
- Livia J. De Picker
- Collaborative Antwerp Psychiatric Research Initiative (CAPRI), University of Antwerp, Antwerp, Belgium
- University Psychiatric Hospital St. Norbertushuis, Duffel, Belgium
| | - Claudia Cornelis
- Collaborative Antwerp Psychiatric Research Initiative (CAPRI), University of Antwerp, Antwerp, Belgium
- University Psychiatric Hospital St. Norbertushuis, Duffel, Belgium
| | - Wouter Hulstijn
- Collaborative Antwerp Psychiatric Research Initiative (CAPRI), University of Antwerp, Antwerp, Belgium
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Glenn Dumont
- Collaborative Antwerp Psychiatric Research Initiative (CAPRI), University of Antwerp, Antwerp, Belgium
- University Psychiatric Hospital St. Norbertushuis, Duffel, Belgium
| | | | - Maarten Timmers
- Janssen Research and Development, Janssen Pharmaceutica N.V., Beerse, Belgium
| | - Luc Janssens
- Janssen Research and Development, Janssen Pharmaceutica N.V., Beerse, Belgium
| | - Manuel Morrens
- Collaborative Antwerp Psychiatric Research Initiative (CAPRI), University of Antwerp, Antwerp, Belgium
| | - Bernard G. C. Sabbe
- Collaborative Antwerp Psychiatric Research Initiative (CAPRI), University of Antwerp, Antwerp, Belgium
- University Psychiatric Hospital St. Norbertushuis, Duffel, Belgium
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Vierck E, Porter RJ, Luty SE, Moor S, Crowe MT, Carter JD, Inder ML, Joyce PR. Further evidence for slow binocular rivalry rate as a trait marker for bipolar disorder. Aust N Z J Psychiatry 2013; 47:371-9. [PMID: 23341474 DOI: 10.1177/0004867412474105] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE Binocular rivalry refers to a situation where contradictory information is presented simultaneously to the same location of each eye. This leads to the alternation of images every few seconds. The rate of alternation between images has been shown to be slower in euthymic participants with bipolar disorder than in healthy controls. The alternation rate is not uniformly slowed in bipolar disorder patients and may be influenced by clinical variables. The present study examined whether bipolar disorder patients have slower alternation rates, examined the influence of depression and explored the role of clinical variables and cognitive functions on alternation rate. METHOD Ninety-six patients with bipolar disorder and 24 control participants took part in the study. Current mood status and binocular rivalry performance were analysed with nonparametric tests. A slow and a normal alternation group were created by median split. We subsequently explored the distribution of several clinical variables across these groups. Further, we investigated associations between alternation rate and various cognitive functions, such as visual processing, memory, attention and general motor speed. RESULTS The median alternation rate was significantly slower for participants with bipolar disorder type I (0.39 Hz) and for participants with bipolar spectrum disorder (0.43 Hz) than for control participants (0.47 Hz). Depression had no effect on alternation rate. There were no differences between participants with bipolar disorder type I and type II and in regard to medication regime and predominance of one rivalry image. There were also no differences in regard to the clinical variables and no significant associations between alternation rate and the cognitive functions explored. CONCLUSION We replicated a slowing in alternation rate in some bipolar disorder participants. The alternation rate was not affected by depressed mood or any of the other factors explored, which supports views of binocular rivalry rates as a trait marker in bipolar disorder.
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Affiliation(s)
- Esther Vierck
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand.
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Solé B, Martínez-Arán A, Torrent C, Bonnin CM, Reinares M, Popovic D, Sánchez-Moreno J, Vieta E. Are bipolar II patients cognitively impaired? A systematic review. Psychol Med 2011; 41:1791-1803. [PMID: 21275085 DOI: 10.1017/s0033291711000018] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND There is evidence that bipolar disorder (BD) is associated with significant neurocognitive deficits and this occurs in individuals with BD type I (BD I) and with BD type II (BD II). Only a few studies have focused on cognitive impairment in BD II. The aim of this study was to describe the pattern of cognitive impairment in patients with BD II, in order to identify specific cognitive deficits that distinguish BD II from BD I patients as well as from healthy subjects. METHOD We performed a systematic review of the literature of neuropsychological studies of BD II published between 1980 and July 2009. Fourteen articles fulfilled the inclusion criteria and were included in this review. RESULTS Main cognitive deficits found in BD II include working memory and some measures of executive functions (inhibitory control) and approximately half of the studies also detected verbal memory impairment. CONCLUSIONS There are subtle differences between the two subtypes regarding cognition. This may suggest neurobiological differences between the two subgroups which will be helpful in order to determine cognitive endophenotypes in BD subtypes.
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Affiliation(s)
- B Solé
- Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
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