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Article ; Online: Longitudinal assessment of ventricular volume trajectories in early-stage schizophrenia: evidence of both enlargement and shrinkage.

Svancer, Patrik / Capek, Vaclav / Skoch, Antonin / Kopecek, Miloslav / Vochoskova, Kristyna / Fialova, Marketa / Furstova, Petra / Jakob, Lea / Bakstein, Eduard / Kolenic, Marian / Hlinka, Jaroslav / Knytl, Pavel / Spaniel, Filip

BMC psychiatry

2024 Volume 24, Issue 1, Page(s) 309

Abstract: Background: Lateral ventricular enlargement represents a canonical morphometric finding in chronic patients with schizophrenia; however, longitudinal studies elucidating complex dynamic trajectories of ventricular volume change during critical early ... ...

Abstract	Background: Lateral ventricular enlargement represents a canonical morphometric finding in chronic patients with schizophrenia; however, longitudinal studies elucidating complex dynamic trajectories of ventricular volume change during critical early disease stages are sparse. Methods: We measured lateral ventricular volumes in 113 first-episode schizophrenia patients (FES) at baseline visit (11.7 months after illness onset, SD = 12.3) and 128 age- and sex-matched healthy controls (HC) using 3T MRI. MRI was then repeated in both FES and HC one year later. Results: Compared to controls, ventricular enlargement was identified in 18.6% of patients with FES (14.1% annual ventricular volume (VV) increase; 95%CI: 5.4; 33.1). The ventricular expansion correlated with the severity of PANSS-negative symptoms at one-year follow-up (p = 0.0078). Nevertheless, 16.8% of FES showed an opposite pattern of statistically significant ventricular shrinkage during ≈ one-year follow-up (-9.5% annual VV decrease; 95%CI: -23.7; -2.4). There were no differences in sex, illness duration, age of onset, duration of untreated psychosis, body mass index, the incidence of Schneiderian symptoms, or cumulative antipsychotic dose among the patient groups exhibiting ventricular enlargement, shrinkage, or no change in VV. Conclusion: Both enlargement and ventricular shrinkage are equally present in the early stages of schizophrenia. The newly discovered early reduction of VV in a subgroup of patients emphasizes the need for further research to understand its mechanisms.
MeSH term(s)	Humans ; Schizophrenia/diagnostic imaging ; Schizophrenia/pathology ; Schizophrenia/physiopathology ; Male ; Female ; Magnetic Resonance Imaging ; Longitudinal Studies ; Adult ; Young Adult ; Cerebral Ventricles/diagnostic imaging ; Cerebral Ventricles/pathology ; Lateral Ventricles/diagnostic imaging ; Lateral Ventricles/pathology ; Disease Progression ; Case-Control Studies ; Adolescent
Language	English
Publishing date	2024-04-24
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2050438-X
ISSN	1471-244X ; 1471-244X
ISSN (online)	1471-244X
ISSN	1471-244X
DOI	10.1186/s12888-024-05749-5
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Article ; Online: Decreased need for sleep as an endophenotype of bipolar disorder: an actigraphy study.

Sebela, Antonin / Kolenic, Marian / Farkova, Eva / Novak, Tomas / Goetz, Michal

Chronobiology international

2019 Volume 36, Issue 9, Page(s) 1227–1239

Abstract: Reports of subjective sleep impairments have been replicated in adults with bipolar disorder (BD), young BD patients, and even children of parents with BD. Furthermore, circadian rhythm alterations are a core feature of BD. Despite the impairment in ... ...

Abstract	Reports of subjective sleep impairments have been replicated in adults with bipolar disorder (BD), young BD patients, and even children of parents with BD. Furthermore, circadian rhythm alterations are a core feature of BD. Despite the impairment in circadian rhythms and altered sleep included in various heuristic developmental models of BD, thus far, biomarkers have not been sufficiently objectively validated. Thus, here, we assessed the rest-activity circadian rhythmicity and sleep macrostructure using actigraphy in a sample of unaffected child and adolescent offspring of bipolar parents (BO; n = 43; 21 females; 11.0 ± 3.2 years) and controls (n = 42; 17 females; 11.1 ± 3.4 years) comparable in sex (
MeSH term(s)	Actigraphy ; Adolescent ; Affect ; Anxiety/complications ; Biomarkers/metabolism ; Bipolar Disorder/complications ; Bipolar Disorder/diagnosis ; Child ; Chronobiology Disorders/complications ; Chronobiology Disorders/diagnosis ; Circadian Rhythm ; Female ; Fitness Trackers ; Humans ; Male ; Parents ; Phenotype ; Schools ; Sex Factors ; Sleep ; Sleep Disorders, Circadian Rhythm/complications ; Sleep Disorders, Circadian Rhythm/diagnosis ; Surveys and Questionnaires
Chemical Substances	Biomarkers
Language	English
Publishing date	2019-07-01
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	998996-1
ISSN	1525-6073 ; 0742-0528
ISSN (online)	1525-6073
ISSN	0742-0528
DOI	10.1080/07420528.2019.1630631
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Article ; Online: Weight and metabolic changes in early psychosis-association with daily quantification of medication exposure during the first hospitalization.

Vochoskova, Kristyna / McWhinney, Sean R / Fialova, Marketa / Kolenic, Marian / Spaniel, Filip / Svancer, Patrik / Boron, Petra / Okaji, Yurai / Trancik, Pavel / Hajek, Tomas

Acta psychiatrica Scandinavica

2023 Volume 148, Issue 3, Page(s) 265–276

Abstract: Background: The most common causes of death in schizophrenia are cardiovascular disorders, which are closely related to metabolic syndrome/obesity. To better understand the development of metabolic alterations early in the course of illness, we ... ...

Abstract	Background: The most common causes of death in schizophrenia are cardiovascular disorders, which are closely related to metabolic syndrome/obesity. To better understand the development of metabolic alterations early in the course of illness, we quantified daily medication exposure in the first days of the first hospitalization for psychosis and related it to changes in weight and metabolic markers. Study design: We recruited participants with first episode psychosis (FEP, N = 173) during their first psychiatric hospitalization and compared them to controls (N = 204). We prospectively collected weight, body mass index, metabolic markers, and exact daily medication exposure at admission and during hospitalization. Study results: Individuals with FEP gained on average 0.97 ± 2.26 BMI points or 3.46 ± 7.81 kg of weight after an average of 44.6 days of their first inpatient treatment. Greater antipsychotic exposure was associated with greater BMI increase, but only in people with normal/low baseline BMI. Additional predictors of weight gain included type of medication and duration of treatment. Medication exposure was not directly related to metabolic markers, but higher BMI was associated with higher TGC, TSH, and lower HDL. Following inpatient treatment, participants with FEP had significantly higher BMI, TGC, prolactin, and lower fT4, HDL than controls. Conclusion: During their first admission, people with FEP, especially those with normal/low baseline BMI, showed a rapid and clinically significant weight increase, which was associated with exposure to antipsychotics, and with metabolic changes consistent with metabolic syndrome. These findings emphasize weight monitoring in FEP and suggest a greater need for caution when prescribing metabolically problematic antipsychotics to people with lower BMI.
MeSH term(s)	Adolescent ; Adult ; Female ; Humans ; Male ; Young Adult ; Antipsychotic Agents/administration & dosage ; Antipsychotic Agents/pharmacology ; Antipsychotic Agents/therapeutic use ; Body Mass Index ; Hospitalization/statistics & numerical data ; Metabolism/drug effects ; Psychotic Disorders/drug therapy ; Schizophrenia/drug therapy ; Secondary Prevention ; Waist-Hip Ratio ; Weight Gain/drug effects ; Biomarkers/metabolism
Chemical Substances	Antipsychotic Agents ; Biomarkers
Language	English
Publishing date	2023-08-01
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	103-x
ISSN	1600-0447 ; 0001-690X
ISSN (online)	1600-0447
ISSN	0001-690X
DOI	10.1111/acps.13594
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Article ; Online: Obesity as a Risk Factor for Accelerated Brain Ageing in First-Episode Psychosis-A Longitudinal Study.

McWhinney, Sean / Kolenic, Marian / Franke, Katja / Fialova, Marketa / Knytl, Pavel / Matejka, Martin / Spaniel, Filip / Hajek, Tomas

Schizophrenia bulletin

2021 Volume 47, Issue 6, Page(s) 1772–1781

Abstract: Background: Obesity is highly prevalent in schizophrenia, with implications for psychiatric prognosis, possibly through links between obesity and brain structure. In this longitudinal study in first episode of psychosis (FEP), we used machine learning ... ...

Abstract	Background: Obesity is highly prevalent in schizophrenia, with implications for psychiatric prognosis, possibly through links between obesity and brain structure. In this longitudinal study in first episode of psychosis (FEP), we used machine learning and structural magnetic resonance imaging (MRI) to study the impact of psychotic illness and obesity on brain ageing/neuroprogression shortly after illness onset. Methods: We acquired 2 prospective MRI scans on average 1.61 years apart in 183 FEP and 155 control individuals. We used a machine learning model trained on an independent sample of 504 controls to estimate the individual brain ages of study participants and calculated BrainAGE by subtracting chronological from the estimated brain age. Results: Individuals with FEP had a higher initial BrainAGE than controls (3.39 ± 6.36 vs 1.72 ± 5.56 years; β = 1.68, t(336) = 2.59, P = .01), but similar annual rates of brain ageing over time (1.28 ± 2.40 vs 1.07±1.74 estimated years/actual year; t(333) = 0.93, P = .18). Across both cohorts, greater baseline body mass index (BMI) predicted faster brain ageing (β = 0.08, t(333) = 2.59, P = .01). For each additional BMI point, the brain aged by an additional month per year. Worsening of functioning over time (Global Assessment of Functioning; β = -0.04, t(164) = -2.48, P = .01) and increases especially in negative symptoms on the Positive and Negative Syndrome Scale (β = 0.11, t(175) = 3.11, P = .002) were associated with faster brain ageing in FEP. Conclusions: Brain alterations in psychosis are manifest already during the first episode and over time get worse in those with worsening clinical outcomes or higher baseline BMI. As baseline BMI predicted faster brain ageing, obesity may represent a modifiable risk factor in FEP that is linked with psychiatric outcomes via effects on brain structure.
MeSH term(s)	Adolescent ; Adult ; Aging, Premature/diagnostic imaging ; Aging, Premature/etiology ; Aging, Premature/pathology ; Aging, Premature/physiopathology ; Body Mass Index ; Disease Progression ; Female ; Humans ; Longitudinal Studies ; Machine Learning ; Magnetic Resonance Imaging ; Male ; Obesity/complications ; Obesity/diagnostic imaging ; Obesity/pathology ; Obesity/physiopathology ; Psychotic Disorders/diagnostic imaging ; Psychotic Disorders/pathology ; Psychotic Disorders/physiopathology ; Risk Factors ; Young Adult
Language	English
Publishing date	2021-05-12
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	439173-1
ISSN	1745-1701 ; 0586-7614
ISSN (online)	1745-1701
ISSN	0586-7614
DOI	10.1093/schbul/sbab064
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Article: Higher Body-Mass Index and Lower Gray Matter Volumes in First Episode of Psychosis.

Kolenič, Marián / Španiel, Filip / Hlinka, Jaroslav / Matějka, Martin / Knytl, Pavel / Šebela, Antonín / Renka, Jiří / Hajek, Tomas

Frontiers in psychiatry

2020 Volume 11, Page(s) 556759

Abstract: Background: Neurostructural alterations are often reported in first episode of psychosis (FEP), but there is heterogeneity in the direction and location of findings between individual studies. The reasons for this heterogeneity remain unknown. Obesity ... ...

Abstract	Background: Neurostructural alterations are often reported in first episode of psychosis (FEP), but there is heterogeneity in the direction and location of findings between individual studies. The reasons for this heterogeneity remain unknown. Obesity is disproportionately frequent already early in the course of psychosis and is associated with smaller brain volumes. Thus, we hypothesized that obesity may contribute to brain changes in FEP. Method: We analyzed MRI scans from 120 participants with FEP and 114 healthy participants. In primary analyses, we performed voxel-based morphometry (VBM) with small volume corrections to regions associated with FEP or obesity in previous meta-analyses. In secondary analyses, we performed whole-brain VBM analyses. Results: In primary analyses, we found that when controlling for BMI, FEP had lower GM volume than healthy participants in a) left fronto-temporal region (pTFCE = 0.008) and b) left postcentral gyrus (pTFCE = 0.043). When controlling for FEP, BMI was associated with lower GM volume in left cerebellum (pTFCE < 0.001). In secondary analyses, we found that when controlling for BMI, FEP had lower GM volume than healthy participants in the a) cerebellum (pTFCE = 0.004), b) left frontal (pTFCE = 0.024), and c) right temporal cortex (pTFCE = 0.031). When controlling for FEP, BMI was associated with lower GM volume in cerebellum (pTFCE = 0.004). Levels of C-reactive protein, HDL and LDL-cholesterol correlated with obesity related neurostructural alterations. Conclusions: This study suggests that higher BMI, which is frequent in FEP, may contribute to cerebellar alterations in schizophrenia. As previous studies showed that obesity-related brain alterations may be reversible, our ﬁndings raise the possibility that improving the screening for and treatment of obesity and associated metabolic changes could preserve brain structure in FEP.
Language	English
Publishing date	2020-09-23
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2564218-2
ISSN	1664-0640
ISSN	1664-0640
DOI	10.3389/fpsyt.2020.556759
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Article ; Online: Cross-sectional and within-subject seasonality and regularity of hospitalizations: A population study in mood disorders and schizophrenia.

Bakstein, Eduard / Mladá, Karolína / Fárková, Eva / Kolenič, Marian / Španiel, Filip / Manková, Denisa / Korčáková, Jana / Winkler, Petr / Hajek, Tomas

Bipolar disorders

2020 Volume 22, Issue 5, Page(s) 508–516

Abstract: Background: Seasonal peaks in hospitalizations for mood disorders and schizophrenia are well recognized and often replicated. The within-subject tendency to experience illness episodes in the same season, that is, seasonal course, is much less ... ...

Abstract	Background: Seasonal peaks in hospitalizations for mood disorders and schizophrenia are well recognized and often replicated. The within-subject tendency to experience illness episodes in the same season, that is, seasonal course, is much less established, as certain individuals may temporarily meet criteria for seasonal course purely by chance. Aims: In this population, prospective cohort study, we investigated whether between and within-subject seasonal patterns of hospitalizations occurred more frequently than would be expected by chance. Methods: Using a compulsory, standardized national register of hospitalizations, we analyzed all admissions for mood disorders and schizophrenia in the Czech Republic between 1994 and 2013. We used bootstrap tests to compare the observed numbers of (a) participants with seasonal/regular course and (b) hospitalizations in individual months against empirical distributions obtained by simulations. Results: Among 87 184 participants, we found uneven distribution of hospitalizations, with hospitalization peaks for depression in April and November (X Conclusions: Psychiatric hospitalizations were unevenly distributed throughout the year (cross-sectional seasonality), with evidence for regularity, but not seasonality of hospitalizations within subjects. Our data do not support the validity of seasonal pattern specifier. Season may be a general risk factor, which increases the risk of hospitalizations across psychiatric participants.
MeSH term(s)	Bipolar Disorder ; Cross-Sectional Studies ; Hospitalization ; Humans ; Mood Disorders/epidemiology ; Prospective Studies ; Schizophrenia/epidemiology ; Seasons
Language	English
Publishing date	2020-01-22
Publishing country	Denmark
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1472242-2
ISSN	1399-5618 ; 1398-5647
ISSN (online)	1399-5618
ISSN	1398-5647
DOI	10.1111/bdi.12884
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Article: Motor activity patterns can distinguish between interepisode bipolar disorder patients and healthy controls.

Schneider, Jakub / Bakštein, Eduard / Kolenič, Marian / Vostatek, Pavel / Correll, Christoph U / Novák, Daniel / Španiel, Filip

CNS spectrums

2020 Volume 27, Issue 1, Page(s) 82–92

Abstract: Background: Bipolar disorder (BD) is linked to circadian rhythm disruptions resulting in aberrant motor activity patterns. We aimed to explore whether motor activity alone, as assessed by longitudinal actigraphy, can be used to classify accurately BD ... ...

Abstract	Background: Bipolar disorder (BD) is linked to circadian rhythm disruptions resulting in aberrant motor activity patterns. We aimed to explore whether motor activity alone, as assessed by longitudinal actigraphy, can be used to classify accurately BD patients and healthy controls (HCs) into their respective groups. Methods: Ninety-day actigraphy records from 25 interepisode BD patients (ie, Montgomery-Asberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS) < 15) and 25 sex- and age-matched HCs were used in order to identify latent actigraphic biomarkers capable of discriminating between BD patients and HCs. Mean values and time variations of a set of standard actigraphy features were analyzed and further validated using the random forest classifier. Results: Using all actigraphy features, this method correctly assigned 88% (sensitivity = 85%, specificity = 91%) of BD patients and HCs to their respective group. The classification success may be confounded by differences in employment between BD patients and HCs. When motor activity features resistant to the employment status were used (the strongest feature being time variation of intradaily variability, Cohen's d = 1.33), 79% of the subjects (sensitivity = 76%, specificity = 81%) were correctly classified. Conclusion: A machine-learning actigraphy-based model was capable of distinguishing between interepisode BD patients and HCs solely on the basis of motor activity. The classification remained valid even when features influenced by employment status were omitted. The findings suggest that temporal variability of actigraphic parameters may provide discriminative power for differentiating between BD patients and HCs while being less affected by employment status.
MeSH term(s)	Actigraphy ; Biomarkers ; Bipolar Disorder/diagnosis ; Circadian Rhythm ; Humans ; Motor Activity
Chemical Substances	Biomarkers
Language	English
Publishing date	2020-09-04
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2008418-3
ISSN	2165-6509 ; 1092-8529
ISSN (online)	2165-6509
ISSN	1092-8529
DOI	10.1017/S1092852920001777
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Article: Validity of the Aktibipo Self-rating Questionnaire for the Digital Self-assessment of Mood and Relapse Detection in Patients With Bipolar Disorder: Instrument Validation Study.

Anýž, Jiří / Bakštein, Eduard / Dally, Andrea / Kolenič, Marián / Hlinka, Jaroslav / Hartmannová, Tereza / Urbanová, Kateřina / Correll, Christoph U / Novák, Daniel / Španiel, Filip

JMIR mental health

2021 Volume 8, Issue 8, Page(s) e26348

Abstract: Background: Self-reported mood is a valuable clinical data source regarding disease state and course in patients with mood disorders. However, validated, quick, and scalable digital self-report measures that can also detect relapse are still not ... ...

Abstract	Background: Self-reported mood is a valuable clinical data source regarding disease state and course in patients with mood disorders. However, validated, quick, and scalable digital self-report measures that can also detect relapse are still not available for clinical care. Objective: In this study, we aim to validate the newly developed ASERT (Aktibipo Self-rating) questionnaire-a 10-item, mobile app-based, self-report mood questionnaire consisting of 4 depression, 4 mania, and 2 nonspecific symptom items, each with 5 possible answers. The validation data set is a subset of the ongoing observational longitudinal AKTIBIPO400 study for the long-term monitoring of mood and activity (via actigraphy) in patients with bipolar disorder (BD). Patients with confirmed BD are included and monitored with weekly ASERT questionnaires and monthly clinical scales (Montgomery-Åsberg Depression Rating Scale [MADRS] and Young Mania Rating Scale [YMRS]). Methods: The content validity of the ASERT questionnaire was assessed using principal component analysis, and the Cronbach α was used to assess the internal consistency of each factor. The convergent validity of the depressive or manic items of the ASERT questionnaire with the MADRS and YMRS, respectively, was assessed using a linear mixed-effects model and linear correlation analyses. In addition, we investigated the capability of the ASERT questionnaire to distinguish relapse (YMRS≥15 and MADRS≥15) from a nonrelapse (interepisode) state (YMRS<15 and MADRS<15) using a logistic mixed-effects model. Results: A total of 99 patients with BD were included in this study (follow-up: mean 754 days, SD 266) and completed an average of 78.1% (SD 18.3%) of the requested ASERT assessments (completion time for the 10 ASERT questions: median 24.0 seconds) across all patients in this study. The ASERT depression items were highly associated with MADRS total scores (P<.001; bootstrap). Similarly, ASERT mania items were highly associated with YMRS total scores (P<.001; bootstrap). Furthermore, the logistic mixed-effects regression model for scale-based relapse detection showed high detection accuracy in a repeated holdout validation for both depression (accuracy=85%; sensitivity=69.9%; specificity=88.4%; area under the receiver operating characteristic curve=0.880) and mania (accuracy=87.5%; sensitivity=64.9%; specificity=89.9%; area under the receiver operating characteristic curve=0.844). Conclusions: The ASERT questionnaire is a quick and acceptable mood monitoring tool that is administered via a smartphone app. The questionnaire has a good capability to detect the worsening of clinical symptoms in a long-term monitoring scenario.
Language	English
Publishing date	2021-08-09
Publishing country	Canada
Document type	Journal Article
ZDB-ID	2798262-2
ISSN	2368-7959
ISSN	2368-7959
DOI	10.2196/26348
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Article ; Online: Obesity, dyslipidemia and brain age in first-episode psychosis.

Kolenic, Marian / Franke, Katja / Hlinka, Jaroslav / Matejka, Martin / Capkova, Jana / Pausova, Zdenka / Uher, Rudolf / Alda, Martin / Spaniel, Filip / Hajek, Tomas

Journal of psychiatric research

2018 Volume 99, Page(s) 151–158

Abstract: Introduction: Obesity and dyslipidemia may negatively affect brain health and are frequent medical comorbidities of schizophrenia and related disorders. Despite the high burden of metabolic disorders, little is known about their effects on brain ... ...

Abstract	Introduction: Obesity and dyslipidemia may negatively affect brain health and are frequent medical comorbidities of schizophrenia and related disorders. Despite the high burden of metabolic disorders, little is known about their effects on brain structure in psychosis. We investigated, whether obesity or dyslipidemia contributed to brain alterations in first-episode psychosis (FEP). Methods: 120 participants with FEP, who were undergoing their first psychiatric hospitalization, had <24 months of untreated psychosis and were 18-35 years old and 114 controls within the same age range participated in the study. We acquired 3T brain structural MRI, fasting lipids and body mass index. We used machine learning trained on an independent sample of 504 controls to estimate the individual brain age of study participants and calculated the BrainAGE score by subtracting the chronological from the estimated brain age. Results: In a multiple regression model, the diagnosis of FEP (B = 1.15, SE B = 0.31, p < 0.001) and obesity/overweight (B = 0.92, SE B = 0.35, p = 0.008) were each additively associated with BrainAGE scores (R Conclusions: Overweight/obesity may be an independent risk factor for diffuse brain alterations manifesting as advanced brain age already early in the course of psychosis. These findings raise the possibility that targeting metabolic health and intervening already at the level of overweight/obesity could slow brain ageing in FEP.
MeSH term(s)	Adolescent ; Adult ; Age Factors ; Brain/diagnostic imaging ; Brain/pathology ; Comorbidity ; Dyslipidemias/blood ; Dyslipidemias/epidemiology ; Female ; Humans ; Machine Learning ; Magnetic Resonance Imaging ; Male ; Obesity/diagnostic imaging ; Obesity/epidemiology ; Obesity/metabolism ; Overweight/diagnostic imaging ; Overweight/epidemiology ; Overweight/metabolism ; Pattern Recognition, Automated ; Psychotic Disorders/diagnostic imaging ; Psychotic Disorders/epidemiology ; Psychotic Disorders/pathology ; Risk Factors ; Schizophrenia/diagnostic imaging ; Schizophrenia/epidemiology ; Schizophrenia/pathology ; Young Adult
Language	English
Publishing date	2018-02-10
Publishing country	England
Document type	Journal Article
ZDB-ID	3148-3
ISSN	1879-1379 ; 0022-3956
ISSN (online)	1879-1379
ISSN	0022-3956
DOI	10.1016/j.jpsychires.2018.02.012
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Article ; Online: Insulin resistance is associated with verbal memory impairment in bipolar disorders.

Salvi, Virginio / Di Salvo, Gabriele / Korčáková, Jana / Torriero, Sara / Aragno, Elena / Kolenič, Marian / Ungrmanová, Martina / Maina, Giuseppe / Mencacci, Claudio / Hajek, Tomas

Journal of affective disorders

2020 Volume 266, Page(s) 610–614

Abstract: Background: Cognitive impairment contributes to deterioration in social, family and work functioning in Bipolar Disorder (BD). Cognitive deficits are present not only during, but also outside of mood episodes. Insulin resistance (IR) impairs cognitive ... ...

Abstract	Background: Cognitive impairment contributes to deterioration in social, family and work functioning in Bipolar Disorder (BD). Cognitive deficits are present not only during, but also outside of mood episodes. Insulin resistance (IR) impairs cognitive functioning and is frequent in participants with BD. Thus, we hypothesized that IR might contribute to cognitive deficits in remitted BD participants. Methods: We acquired biochemical (fasting insulin, glucose, lipids) cognitive (California Verbal Learning Test, Digit Span) measures from 100 euthymic participants with BD type I or II. IR was diagnosed using HOMA-IR. Results: BD participants with IR displayed worse composite verbal memory score (-0.38 vs 0.17; F(1, 8.23)=17.90; p = 0.003), while composite working memory scores were comparable in patients with or without IR (-0.20 vs 0.07; F(1, 6.05)=1.64; p = 0.25). Insulin resistance remained significantly associated with composite verbal memory scores (F(1, 47.99)=9.82, p = 0.003) even when we controlled for levels of lipids. The association between IR and verbal memory was not confounded by exposure to antipsychotics, which were not associated with worse cognitive performance (F(1, 2.07)=5.95, p = 0.13). Limitations: The main limitation is the cross-sectional design, which does not allow us to rule out reverse causation. Conclusions: We demonstrated that among remitted BD participants without diabetes mellitus, IR was significantly associated with verbal memory performance, even when we controlled for other relevant metabolic or treatment variables. These findings raise the possibility that early detection and treatment of IR, which is reversible, could possibly improve cognitive functioning in at least some BD participants.
MeSH term(s)	Bipolar Disorder/complications ; Cross-Sectional Studies ; Humans ; Insulin Resistance ; Memory ; Memory Disorders ; Neuropsychological Tests
Language	English
Publishing date	2020-01-28
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	135449-8
ISSN	1573-2517 ; 0165-0327
ISSN (online)	1573-2517
ISSN	0165-0327
DOI	10.1016/j.jad.2020.01.145
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In stock of ZB MED Cologne/Königswinter

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Order via subito

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In stock of ZB MED Cologne/Königswinter

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Full text online

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Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito