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Luciano M, Carmassi C, Sampogna G, Bertelloni CA, Abbate-Daga G, Albert U, Castellini G, Della Rocca B, Fantasia S, Menchetti M, Pedrinelli V, Pompili M, Signorelli MS, Tosato S, Fiorillo A. Longitudinal trajectories of psychosocial functioning in patients with pre-existing mental disorders after one year of COVID-19 pandemic. J Psychiatr Res 2024; 172:200-209. [PMID: 38401365 DOI: 10.1016/j.jpsychires.2024.02.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 01/09/2024] [Accepted: 02/07/2024] [Indexed: 02/26/2024]
Abstract
Aims of the present study were to prospectively assess psychosocial functioning trajectories during the COVID pandemic and the possible impact of sociodemographic variables, as well as of COVID-19 pandemic-related factors, on these trajectories, in a sample of patients with pre-existing severe mental disorders. Moreover, we aimed at identifying predictors of impairment in psychosocial functioning over a period of 9 months of COVID-19 pandemic. Patients were recruited during the 3rd wave of the COVID-19 pandemic (T0, March-April 2021) while strict containment measures were applied in Italy, and reassessed after 3 months (T1, June-July 2021), and after 6 months from T1 (T2- November-December 2021), during the 4th wave of COVID pandemic. A sample of 300 subject (out of the 527 subjects recruited at baseline) completed the T2 evaluation. Patients were assessed by: Work and Social Adjustment Scale (WSAS) for psychosocial functioning, Generalized Anxiety Disorder 7-Item (GAD-7) for anxiety symptoms, Patient Health Questionnaire-9 (PHQ-9) for depressive symptoms and the Impact of Events Scale-Revised, for post-traumatic symptoms. Cluster analyses identified 4 trajectories of functioning: the High, Stable Functioning group (N = 77), the Improvement Functioning group (N = 62), the Progressive Impairment group (N = 83) and the Persistent Severe Impairment group (N = 78) respectively. We found that predictors of higher WSAS score at T2 were higher WSAS score at T0 (B = 0.43, p < .001), PHQ scores at baseline >10 (B = 2.89, p < .05), while not living alone was found to be a protective factor (B = -2.5, p < .05). Results of the present study provides insights into the vulnerability of individuals with psychiatric disorders during times of crisis. Study findings can contribute to a better understanding of the specific needs of this population and inform interventions and support strategies.
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Affiliation(s)
- M Luciano
- Department of Psychiatry, University of Campania "Luigi Vanvitelli,", Naples, Italy.
| | - C Carmassi
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - G Sampogna
- Department of Psychiatry, University of Campania "Luigi Vanvitelli,", Naples, Italy
| | - C A Bertelloni
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - G Abbate-Daga
- Department of Neurosciences "Rita Levi Montalcini", University of Turin, Turin, Italy
| | - U Albert
- Department of Medicine, Surgery and Health Sciences, University of Trieste and Department of Mental Health, Azienda Sanitaria Universitaria Giuliano Isontina - ASUGI, Trieste, Italy
| | - G Castellini
- Department of Health Sciences, University of Florence, Florence, Italy
| | - B Della Rocca
- Department of Psychiatry, University of Campania "Luigi Vanvitelli,", Naples, Italy
| | - S Fantasia
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - M Menchetti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - V Pedrinelli
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - M Pompili
- Department of Neuroscience, Mental Health and Sense Organs, University of Rome "La Sapienza", Rome, Italy
| | - M S Signorelli
- Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, Catania, Italy
| | - S Tosato
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - A Fiorillo
- Department of Psychiatry, University of Campania "Luigi Vanvitelli,", Naples, Italy
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Luciano M, Sampogna G, D'Ambrosio E, Rampino A, Amore M, Calcagno P, Rossi A, Rossi R, Carmassi C, Dell'Osso L, Bianciardi E, Siracusano A, Della Rocca B, Di Vincenzo M, Fiorillo A. One-year efficacy of a lifestyle behavioural intervention on physical and mental health in people with severe mental disorders: results from a randomized controlled trial. Eur Arch Psychiatry Clin Neurosci 2023:10.1007/s00406-023-01684-w. [PMID: 37665401 DOI: 10.1007/s00406-023-01684-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 08/14/2023] [Indexed: 09/05/2023]
Abstract
This multicentric randomized controlled trial (RCT), carried out in six Italian University mental health sites, aims to test the efficacy of a six-month psychosocial intervention (LYFESTYLE) on Body Mass Index (BMI), body weight, waist circumference, fasting glucose, triglycerides, cholesterol, Framingham and HOmeostasis Model Assessment of insulin resistance (HOMA-IR) indexes in patients with schizophrenia, bipolar disorder, and major depression. Moreover, the efficacy of the intervention has also been tested on several other physical and mental health domains. Patients were randomly allocated to receive the six-month experimental intervention (LIFESTYLE) or a behavioural control intervention. All enrolled patients were assessed at baseline and after one year. We recruited 401 patients (206 in the experimental and 195 in the control group) with a diagnosis of schizophrenia or other psychotic disorder (29.9%), bipolar disorder (43.3%), or major depression (26.9%). At one year, patients receiving the experimental intervention reported an improvement in body mass index, body weight, waist circumference, HOMA-IR index, anxiety and depressive symptoms and in quality of life. Our findings confirm the efficacy of the LIFESTYLE intervention in improving physical and mental health-related outcomes in patients with severe mental illnesses after one year.
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Affiliation(s)
- M Luciano
- Department of Psychiatry, University of Campania "L. Vanvitelli", Largo Madonna Delle Grazie 80039, Naples, Italy.
| | - G Sampogna
- Department of Psychiatry, University of Campania "L. Vanvitelli", Largo Madonna Delle Grazie 80039, Naples, Italy
| | - E D'Ambrosio
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
| | - A Rampino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
| | - M Amore
- Section of Psychiatry, Department of Neuroscience, Ophthalmology, Genetics and Infant-Maternal Science, University of Genoa, Genoa, Italy
| | - P Calcagno
- Section of Psychiatry, Department of Neuroscience, Ophthalmology, Genetics and Infant-Maternal Science, University of Genoa, Genoa, Italy
| | - A Rossi
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - R Rossi
- Department of System Medicine, University of Rome Tor Vergata, Rome, Italy
| | - C Carmassi
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - L Dell'Osso
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - E Bianciardi
- Department of System Medicine, University of Rome Tor Vergata, Rome, Italy
| | - A Siracusano
- Department of System Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Bianca Della Rocca
- Department of Psychiatry, University of Campania "L. Vanvitelli", Largo Madonna Delle Grazie 80039, Naples, Italy
| | - M Di Vincenzo
- Department of Psychiatry, University of Campania "L. Vanvitelli", Largo Madonna Delle Grazie 80039, Naples, Italy
| | - A Fiorillo
- Department of Psychiatry, University of Campania "L. Vanvitelli", Largo Madonna Delle Grazie 80039, Naples, Italy
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Flint JP, Welstead M, Cox SR, Russ TC, Marshall A, Luciano M. Validation of a polygenic risk score for Frailty in the Lothian Birth Cohort and English Longitudinal Study of Ageing. medRxiv 2023:2023.04.03.23288064. [PMID: 37066324 PMCID: PMC10104224 DOI: 10.1101/2023.04.03.23288064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
Frailty is a complex trait. Twin studies and a high-powered Genome Wide Association Study (GWAS) conducted in the UK Biobank have demonstrated a strong genetic basis of frailty. The present study utilized summary statistics from this GWAS to create and test the predictive power of frailty polygenic risk scores (PRS) in two independent samples - the Lothian Birth Cohort 1936 (LBC1936) and the English Longitudinal Study of Ageing (ELSA) aged 67-84 years. Multiple regression models were built to test the predictive power of frailty PRS at five time points. Frailty PRS significantly predicted frailty at all-time points in LBC1936 and ELSA, explaining 2.1% (β = 0.15, 95%CI, 0.085-0.21) and 1.6% (β = 0.14, 95%CI, 0.10-0.17) of the variance, respectively, at age ~68/~70 years (p < 0.001). This work demonstrates that frailty PRS can predict frailty in two independent cohorts, particularly at early ages (~68/~70). PRS have the potential to be valuable instruments for identifying those at risk for frailty and could be important for controlling for genetic confounders in epidemiological studies.
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Affiliation(s)
- J P Flint
- Advanced Care Research Centre School of Engineering, College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, UK
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - M Welstead
- Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - S R Cox
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - T C Russ
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - A Marshall
- Advanced Care Research Centre School of Engineering, College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, UK
- School of Social and Political Science, University of Edinburgh, Edinburgh, UK
| | - M Luciano
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
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Dell’Osso L, Amatori G, Massimetti G, Nardi B, Gravina D, Benedetti F, Bonelli C, Luciano M, Berardelli I, Brondino N, De Gregorio M, Deste G, Nola M, Reitano A, Muscatello MRA, Pompili M, Politi P, Vita A, Carmassi C, Maj M. Investigating the relationship between autistic traits and symptoms and Catatonia Spectrum. Eur Psychiatry 2022; 65:e81. [DOI: 10.1192/j.eurpsy.2022.2334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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Han R, Jones CK, Lee J, Zhang X, Wu P, Vagdargi P, Uneri A, Helm PA, Luciano M, Anderson WS, Siewerdsen JH. Joint synthesis and registration network for deformable MR-CBCT image registration for neurosurgical guidance. Phys Med Biol 2022; 67:10.1088/1361-6560/ac72ef. [PMID: 35609586 PMCID: PMC9801422 DOI: 10.1088/1361-6560/ac72ef] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 05/24/2022] [Indexed: 01/03/2023]
Abstract
Objective.The accuracy of navigation in minimally invasive neurosurgery is often challenged by deep brain deformations (up to 10 mm due to egress of cerebrospinal fluid during neuroendoscopic approach). We propose a deep learning-based deformable registration method to address such deformations between preoperative MR and intraoperative CBCT.Approach.The registration method uses a joint image synthesis and registration network (denoted JSR) to simultaneously synthesize MR and CBCT images to the CT domain and perform CT domain registration using a multi-resolution pyramid. JSR was first trained using a simulated dataset (simulated CBCT and simulated deformations) and then refined on real clinical images via transfer learning. The performance of the multi-resolution JSR was compared to a single-resolution architecture as well as a series of alternative registration methods (symmetric normalization (SyN), VoxelMorph, and image synthesis-based registration methods).Main results.JSR achieved median Dice coefficient (DSC) of 0.69 in deep brain structures and median target registration error (TRE) of 1.94 mm in the simulation dataset, with improvement from single-resolution architecture (median DSC = 0.68 and median TRE = 2.14 mm). Additionally, JSR achieved superior registration compared to alternative methods-e.g. SyN (median DSC = 0.54, median TRE = 2.77 mm), VoxelMorph (median DSC = 0.52, median TRE = 2.66 mm) and provided registration runtime of less than 3 s. Similarly in the clinical dataset, JSR achieved median DSC = 0.72 and median TRE = 2.05 mm.Significance.The multi-resolution JSR network resolved deep brain deformations between MR and CBCT images with performance superior to other state-of-the-art methods. The accuracy and runtime support translation of the method to further clinical studies in high-precision neurosurgery.
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Affiliation(s)
- R Han
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - C K Jones
- The Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, MD, United States of America
| | - J Lee
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD, United States of America
| | - X Zhang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - P Wu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - P Vagdargi
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, United States of America
| | - A Uneri
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - P A Helm
- Medtronic Inc., Littleton, MA, United States of America
| | - M Luciano
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD, United States of America
| | - W S Anderson
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD, United States of America
| | - J H Siewerdsen
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America,The Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, MD, United States of America,Department of Computer Science, Johns Hopkins University, Baltimore, MD, United States of America,Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD, United States of America
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Di Vincenzo M, Marone L, Del Vecchio A, Giallonardo V, Del Vecchio V, Luciano M, Sampogna G, Fiorillo A. Young and lonely? Results from the COMET study. Eur Psychiatry 2022. [PMCID: PMC9567978 DOI: 10.1192/j.eurpsy.2022.1300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction The sudden changes in daily routine due to the containment measures adopted for facing the COVID-19 pandemic have had an impact on the mental health of the general population. In particular, young adults are exposed to a higher risk compared to the general population to suffer from the consequences of the pandemic, in terms of anger and irritability, depressive symptoms and somatic complaints, insomnia, lack of motivation and loneliness. In particular, loneliness can be particularly pronounced during young adulthood. Objectives This study aimed to describe the levels of loneliness in a sample of Italian young people during the national lockdown in 2020, evaluating clinical and socio-demographic differences and the role of coping strategies and levels of resilience. Methods A sub-analysis of a sample of adults aged 18-34 years has been drawn on a larger cross-sectional observational national trial (COMET, 2020) in which, among other psychopathological dimensions, the levels of loneliness have been assessed by the UCLA scale short version. Results Levels of loneliness were particularly severe in a third of cases (risk factors: unemployment, low income and vulnerability in mental health), in association with depression, anxiety, stress, OCD symptoms, higher rates of suicidal ideation, sleep disturbance and excessive use of Internet. Levels of loneliness tended to increase over time. Conclusions Overall, during the Italian COVID-19 lockdown young people have experienced quite high levels of loneliness: this dimension could represent a useful domain to assess in routine clinical practice. Disclosure No significant relationships.
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Catapano P, Messina M, Russo A, Tucci C, Luciano M, De Santis V, Perris F, Catapano F, Coppola N, Fabrazzo M. Preexisting mild cognitive impairment as a risk factor for COVID-19 infection: A scoping review and case reports. Eur Psychiatry 2022. [PMCID: PMC9565264 DOI: 10.1192/j.eurpsy.2022.1267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction
SARS-Co-V2 neuroinvasive ability might be the basis for the onset of delirium and neuropsychiatric outcomes.
Objectives
We hypothesized that some infected patients with preexisting cognitive dysfunction may present delirium as unique manifestation of COVID-19 infection or as a prodrome of a new episode consistent with the psychiatric history.
Methods
We conducted a PubMed literature search to verify whether cognitive impairment might predispose to COVID-19. We included three patients with mild cognitive impairment and delirium at admission for SARS-Co-V2 suspected infection. Delirium was diagnosed according to DSM-5 criteria‚ Cognitive Assessment Method and Coma Glasgow Scale.
Results
Literature analysis evidenced patients presenting delirium or delirium-like symptoms as clinical manifestation of COVID-19, plus a cognitive impairment‚ from mild to severe‚ which preexisted or was evidenced during the acute phase or after the infection. Most studies described delirium in patients with a past neurological/psychiatric history. Contrasting data emerged on the potential link between COVID-19 and delirium in patients with cognitive impairment and without a past neuropsychiatric history. Our patients had no history of other medical complications. Our first patient had no psychiatric history‚ the second reported only a depressive episode‚ and the third had story of bipolar disorder. Delirium resolved completely after 2 days in the first patient. The other patients required 4 and 14 days to resolve: delirium appeared as the prodrome of a new psychiatric episode in line with their past history.
Conclusions
Clinicians should acknowledge the possibility that COVID-19 infection may appear as delirium and acute psychiatric sequelae as unique manifestation.
Disclosure
No significant relationships.
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Ciampi C, Carfagno M, Raia M, Giallonardo V, Del Vecchio V, Luciano M, Sampogna G, Fiorillo A. How can resilience moderate the effects of the COVID-19 pandemic on mental health? Eur Psychiatry 2022. [PMCID: PMC9565204 DOI: 10.1192/j.eurpsy.2022.502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Introduction The COVID-19 pandemic represents a new form of trauma, which is impacting on the mental health of the general population. However, the effects of this new trauma are variable, being mediated by individual factors such as the levels of resilience and the coping strategies. Objectives The aims of the present study are: 1) describe the levels of resilience and the type of coping strategies adopted by the Italian general adult population during the first wave of the pandemic; 2) evaluate the protective role of coping strategies and resilience on the levels of depressive, anxiety and stress symptoms. Methods An online survey has been developed, which includes several validated self-reported questionnaires for the evaluation of participants’ mental health condition, coping strategies and levels of resilience. The main outcome measure is the Depression Anxiety and Stress Scale-21 (DASS-21). Results The finale sample consists of 20,720 participants, more than half reported low levels of resilience, which were not associated with age or gender. The levels of resilience did not differ among the general population, patients with pre-existing mental disorders and those infected by COVID-19. People with low levels of resilience rarely used adaptive coping strategies. The levels of resilience did not have any influence on stress, depressive or anxiety symptoms. Conclusions The presence of low levels of resilience in the general population may be the missing link between the pandemic and increasing concerns on mental health problems. This could be important for the development of ad-hoc supportive and preventive psychosocial interventions. Disclosure No significant relationships.
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Marone L, Marzolo S, Raia M, Giallonardo V, Del Vecchio V, Sampogna G, Luciano M, Fiorillo A. Psychoeducational family intervention for bipolar I disorder: medium and long-term efficacy. Eur Psychiatry 2022. [PMCID: PMC9567225 DOI: 10.1192/j.eurpsy.2022.1936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction
Bipolar disorder (BD) is associated to high personal and social burden, impaired social functioning and high levels of disability. Recent studies have showed that relapse rates are significantly reduced in those patients whose families receive psychoeducational interventions. Even though most of available evidences are related to the short-term efficacy of psychoeducational family interventions (PFI). No evidence is available on medium and long-term efficacy.
Objectives
This study aims to assess the efficacy after one and five years of PFI in BD in terms of: 1) improvement of patients’ symptoms and global functioning; 2) improvement of relatives’ objective and subjective burden and coping strategies.
Methods
A multicenter, controlled, outpatient trial has been conducted in BD patients and their key relatives, recruited in 11 Italian mental health centers. Patient’s clinical status, social and personal functioning, burden of illness, and relative’s burden and coping strategies were assessed with specific instruments at baseline, after 1 year and after 5 years.
Results
137 families were recruited, 70 allocated to the experimental intervention. After one year, an increasing positive effect on patients’ clinical status, global functioning and objective and subjective burden was found. Moreover, were observed a reduced number of relapses and of hospitalizations after five years, compared to the control group. A reduction in the levels of family burden and an improvement of their coping strategies were also observed.
Conclusions
Positive effects of the experimental intervention persist over the mid and long-term period. PFI should be provided in mental health centres to patients with BD and their relatives.
Disclosure
No significant relationships.
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Luciano M. Affective Temperaments and Suicidality in Patients with Bipolar Disorder. Eur Psychiatry 2022. [PMCID: PMC9564131 DOI: 10.1192/j.eurpsy.2022.140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Suicide is one of the leading causes of death in patients with Bipolar Disorder (BD). Several risk factors linked to suicide attempts in patients with BD have been identified, including a long duration of illness, untreated BD, female sex, positive history for suicide attempts, comorbidity with substance abuse or personality disorders, anxiety, depressive polarity and recent psychiatric inpatient care. Recently affective temperaments have been considered as possible factors for suicide in BD. While hyperthymic temperament is associated with a reduced risk of suicide attempts, cyclothymic, irritable, depressive and anxious temperaments are more represented in patients with a positive history of suicide attempts. Moreover, cyclothymic and irritable temperaments are highly connected with both aggression and impulsivity, which play a role in suicidal behaviours. Despite this evidence, the predictive role of affective temperaments on suicide behaviours is still poorly studied. In this contribution, we will report results of a study aiming at assessing the relationship between affective temperaments and personal history of violent suicide attempts, in 74 patients with BD. Violent suicide attempts were positively associated with cyclothymic temperament and inversely to hyperthymic one. BD-I patients and patients with a clinical history of rapid cycling were significantly more represented in the group of patients with a history of violent suicide attempts. Our results suggest the role of affective temperaments in the suicidality of patients with BD.
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Sollo V, Zinno F, Vece A, Giallonardo V, Sampogna G, Luciano M, Fiorillo A. Is Maternity Blues a risk factor for the onset of post-partum depression? A longitudinal Study. Eur Psychiatry 2022. [PMCID: PMC9567247 DOI: 10.1192/j.eurpsy.2022.942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Introduction The period after delivery is characterised by physical, hormonal and psychological changes. Up to 20% of women can present depressive and anxiety symptoms and difficulties in the interaction with the newborn, emotional lability. This condition is also called “Maternity Blues (MB)”. Objectives To: 1) assess the frequency of MB presentation of depressive symptoms immediately after the delivery; 2) identify those characteristics more frequently associated to the onset of depressive symptoms after the delivery; and 3) verify the hypothesis that the presence of maternity blues is a risk factor for the onset of a depressive episode in the 12 months after the delivery. Methods From December 2019 to February 2021 all women who gave birth at the University of Campania “Vanvitelli” were enrolled. Upon acceptance, they filled in the EPDS Scale. Sociodemographic, gynaecological, peripartum and psychiatric anamnesis was collected at baseline. Women have been reassessed after 1, 3, 6 and 12 months. Results 359 women were recruited, with a mean EPDS score of 5.51. Among these, 83 reported the presence of MB (EPDS score≥10; 23.12%). Anxiety disorders with onset prior to pregnancy (p<.000), preeclampsia (p<.01), increased foetal health rate (p<.01), conflicts with relatives (p<.001) and anxiety disorders the partner (p<.01) emerged as predictors of Mb. The presence of MB increase 7 time the risk to have higher EPDS score at follow-up assessments (p<.000). Conclusions The presence of MB should always be assessed in the immediate post-partum and psychosocial interventions should be provided to women with MB to reduce its potential negative effect on mental health. Disclosure No significant relationships.
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Altucci G, Giannelli L, Palummo C, Di Cerbo A, Agnese S, Cipolla S, Fabrazzo M, Perris F, Catapano F, Luciano M, Sampogna G, Fiorillo A. Does Vitamin D matter? The role of calcium homeostasis imbalance in clinical severity of psychiatric patients. Eur Psychiatry 2022. [PMCID: PMC9564489 DOI: 10.1192/j.eurpsy.2022.713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction
Vitamin D modulates the biosynthesis of neurotransmitters and neurotrophic factors and it is involved in the modulation of inflammatory responses, with a potential impact on clinical status of patients with severe mental disorders. Moreover, available evidences report that decreased blood levels of Vitamin D are associated to a worse course of psychotic and affective disorders.
Objectives
We assessed calcium homeostasis imbalance in a sample of inpatients and outpatients, referring to the Department of Psychiatry of University of Campania “Luigi Vanvitelli” in order to explore levels of Calcium, PTH and Vitamin D and their influence in clinical severity among this different subgroups.
Methods
All patients were administered The Brief Psychiatric Rating Scale (BPRS) to assess different domains of psychopathology. Vitamin D, Calcium and PTH levels were assessed in all patients. An-ad hoc schedule was administered for socio-demographic and clinical characteristics.
Results
The total sample consisted of 152 patients (75 males and 77 females with 47.3 ± 14.4 age at admission, 74 inpatients and 78 outpatients). Patients with lower level of Vitamin D are more likely to present higher number of relapses (p<0.05) and to be inpatients (<0.01). Finally, serum levels of Vitamin D were negatively correlated with all the BPRS subscales (p < 0.01).
Conclusions
Lower levels of Vitamin D correlate with a worse clinical outcome of patients with different psychiatric diagnosis. Our results highlight the importance to routinely assess PTH, Vit D and calcium levels, especially in inpatients. Moreover, Vitamin D may represent a valid add-on treatment for these patients.
Disclosure
No significant relationships.
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Luciano M, Corley J, Valdés Hernández MC, Craig LCA, McNeill G, Bastin ME, Deary IJ, Cox SR, Wardlaw JM. Mediterranean-Type Diet and Brain Structural Change from 73 to 79 Years in the Lothian Birth Cohort 1936. J Nutr Health Aging 2022; 26:368-372. [PMID: 35450993 DOI: 10.1007/s12603-022-1760-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
OBJECTIVES To test whether Mediterranean-type Diet (MeDi) at age 70 years is associated with longitudinal trajectories of total brain MRI volume over a six-year period from age 73 to 79. DESIGN Cohort study which uses a correlational design. SETTING Participants residing in the Lothian region of Scotland and living independently in the community. PARTICIPANTS A relatively healthy Scottish sample drawn from the Lothian Birth Cohort 1936. MEASUREMENTS Total brain volume measurements were available at ages 73, 76 and 79 (N ranged 332 to 563). Adherence to the MeDi was based on food frequency questionnaire data collected three years before the baseline imaging scans, and was used in growth curve models to predict the trajectory of total brain volume change. RESULTS No association was found (p>.05) between adherence to the MeDi at age 70 and total brain volume change from 73 to 79 years in minimally-adjusted (sex) or fully adjusted models controlling for additional health confounders. CONCLUSIONS Variation in adherence to the MeDi was not predictive of total brain atrophy over a six-year period. This suggests that previous findings of dietary associations with brain volume are not long lasting or become less important as ageing-related conditions account for greater variation in brain volume change. More frequent collection of dietary intake data is needed to clarify these findings.
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Affiliation(s)
- M Luciano
- Michelle Luciano, Psychology, 7 George Square, University of Edinburgh, Edinburgh, EH9 8JZ, Phone +44 (0)131 6503630,
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Han R, Jones CK, Lee J, Wu P, Vagdargi P, Uneri A, Helm PA, Luciano M, Anderson WS, Siewerdsen JH. Deformable MR-CT image registration using an unsupervised, dual-channel network for neurosurgical guidance. Med Image Anal 2022; 75:102292. [PMID: 34784539 PMCID: PMC10229200 DOI: 10.1016/j.media.2021.102292] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 10/22/2021] [Accepted: 10/25/2021] [Indexed: 02/08/2023]
Abstract
PURPOSE The accuracy of minimally invasive, intracranial neurosurgery can be challenged by deformation of brain tissue - e.g., up to 10 mm due to egress of cerebrospinal fluid during neuroendoscopic approach. We report an unsupervised, deep learning-based registration framework to resolve such deformations between preoperative MR and intraoperative CT with fast runtime for neurosurgical guidance. METHOD The framework incorporates subnetworks for MR and CT image synthesis with a dual-channel registration subnetwork (with synthesis uncertainty providing spatially varying weights on the dual-channel loss) to estimate a diffeomorphic deformation field from both the MR and CT channels. An end-to-end training is proposed that jointly optimizes both the synthesis and registration subnetworks. The proposed framework was investigated using three datasets: (1) paired MR/CT with simulated deformations; (2) paired MR/CT with real deformations; and (3) a neurosurgery dataset with real deformation. Two state-of-the-art methods (Symmetric Normalization and VoxelMorph) were implemented as a basis of comparison, and variations in the proposed dual-channel network were investigated, including single-channel registration, fusion without uncertainty weighting, and conventional sequential training of the synthesis and registration subnetworks. RESULTS The proposed method achieved: (1) Dice coefficient = 0.82±0.07 and TRE = 1.2 ± 0.6 mm on paired MR/CT with simulated deformations; (2) Dice coefficient = 0.83 ± 0.07 and TRE = 1.4 ± 0.7 mm on paired MR/CT with real deformations; and (3) Dice = 0.79 ± 0.13 and TRE = 1.6 ± 1.0 mm on the neurosurgery dataset with real deformations. The dual-channel registration with uncertainty weighting demonstrated superior performance (e.g., TRE = 1.2 ± 0.6 mm) compared to single-channel registration (TRE = 1.6 ± 1.0 mm, p < 0.05 for CT channel and TRE = 1.3 ± 0.7 mm for MR channel) and dual-channel registration without uncertainty weighting (TRE = 1.4 ± 0.8 mm, p < 0.05). End-to-end training of the synthesis and registration subnetworks also improved performance compared to the conventional sequential training strategy (TRE = 1.3 ± 0.6 mm). Registration runtime with the proposed network was ∼3 s. CONCLUSION The deformable registration framework based on dual-channel MR/CT registration with spatially varying weights and end-to-end training achieved geometric accuracy and runtime that was superior to state-of-the-art baseline methods and various ablations of the proposed network. The accuracy and runtime of the method may be compatible with the requirements of high-precision neurosurgery.
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Affiliation(s)
- R Han
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - C K Jones
- The Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, MD, United States
| | - J Lee
- Department of Radiation Oncology, Johns Hopkins University, Baltimore, MD, United States
| | - P Wu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - P Vagdargi
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, United States
| | - A Uneri
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - P A Helm
- Medtronic Inc., Littleton, MA, United States
| | - M Luciano
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD, United States
| | - W S Anderson
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD, United States
| | - J H Siewerdsen
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States; The Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, MD, United States; Department of Computer Science, Johns Hopkins University, Baltimore, MD, United States; Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD, United States.
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Vece A, Tarantino G, Carfagno M, Raia M, Ciampi C, Vincenzo MD, Pitocco A, Sampogna G, Luciano M, Torella M, Fiorillo A. Identification of risk-factors for the development of depressive symptoms in perinatal period: A longitudinal study. Eur Psychiatry 2021. [PMCID: PMC9470486 DOI: 10.1192/j.eurpsy.2021.312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction Perinatal depression is a severe and disabling condition, which affects negatively both mothers’ and children’s mental health and well-being. About 12.8% of pregnant women report depressive symptoms in the perinatal period. Objectives The aims of the present study are to: 1) identify factors (socio-demographic and clinical) associated with an increased risk of developing PD; 2) promote a screening program on PD. Methods All pregnant women were assessed at each trimester of pregnancy, three days after the childbirth and after 1, 3, 6 and 12 months, with the Edinburgh Postpartum Depression Scale (EPDS). Women scoring ≥10 on the EPDS were invited to receive a full psychiatric evaluation to confirm the diagnosis. Results 420 women were recruited. 52.9%, 27.6% and 31.6% of participants presented an EPDS≥ 10 score at The I, II and III trimester of pregnancy, respectively. The percentage of patients with and EPS score ≥19 is 16.6%, 6.8%, 6.8%, 11.3% and 7.8% in 3 days following the childbirth and after 3, 6, 9 and 12 months, respectively. Higher EPDS scores are predicted by the presence of anxiety symptoms before pregnancy and of depressive and anxiety symptoms in previous pregnancies (p<0.05). Women with family conflicts and with anxiety symptoms in the partner are more likely to report higher EPDS scores (p<0.001). Conclusions Our results confirm that perinatal depression is a highly prevalent condition. An early identification of depressive symptoms during this period is crucial in order to reduce the long-term negative impact on the mothers, the newborn and other family members. Disclosure No significant relationships.
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Raia M, Ciampi C, Zinno F, Caivano V, Barone E, Sampogna G, Vecchio VD, Giallonardo V, Steardo L, Luciano M, Fiorillo A. The role of affective temperaments in predicting symptom severity in bipolar disorder. Eur Psychiatry 2021. [PMCID: PMC9471076 DOI: 10.1192/j.eurpsy.2021.242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Introduction Bipolar disorder (BD) is one of the most burdensome psychiatric illnesses, being associated with a negative long-term outcome and high suicide rate. Although affective temperaments are considered possible mediators of outcome, their role on the course and outcome of BD remains poorly studied. Objectives The aims of the present study are to describe the clinical characteristics of patients with BD more frequently associated with the different affective temperaments and to verify which affective temperaments are associated with a more severe clinical picture in a sample of patients with BD. Methods All patients with BD referring to the outpatient units of two Italian university sites have been recruited. Patients’ psychiatric symptoms, affective temperaments, and quality of life were investigated through validated assessment instruments. Results 199 patients were recruited. 54.8% of patients had a diagnosis of bipolar I disorder. 56.8% of the sample reported at least one episode of aggressive behaviours and 30.2% of suicidal attempt. Predominant cyclothymic and irritable temperaments predicted more frequent relapses, a poorer quality of life (p<;0.05), more aggressive behaviours and suicide attempts (p<;0.01). The predominant hyperthymic disposition was a protective factor for several outcome measures, including relapses and suicidality (p<;0.01), and was correlated with a less severity of psychiatric symptoms and later age at onset (p<;0.05). Conclusions Early identification of affective temperaments in BD patients can help clinicians to identify those who could show a worse prognosis. A screening of affective temperaments can be useful to develop early targeted integrated pharmacological and psychosocial interventions. Disclosure No significant relationships.
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Palummo C, Marone L, Caivano V, Vece A, Steardo L, Luciano M, Cerbo AD, Vecchio VD, Fiorillo A. The role of Vit D and parathyroid hormone in clinical severity of patients with bipolar disorder. Eur Psychiatry 2021. [PMCID: PMC9471275 DOI: 10.1192/j.eurpsy.2021.243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction Vitamin D modulates the biosynthesis of neurotransmitters and neurotrophic factors, thus influencing mood and its alterations. Decreased blood levels of Vitamin D are involved in many psychiatric disorders, in particular, affective disorders. As regards bipolar disorder (BD), an association between vitamin D deficiency and severity of illness has been found. Objectives In this observational study, we assessed calcium homeostasis imbalance in a sample of patients with BD; in particular, we explored whether serum levels of PTH, Vitamin D and calcium influence the clinical presentation of BD and its symptom severity. Methods All patients were administered with validated assessment instruments to assess psychopathology, affective temperaments and global functioning. Vitamin D and PTH levels were assessed in all patients. An-ad hoc schedule was administered for socio-demographic and clinical characteristics. Results The total sample consisted of 199 patients (females: 51%; mean age: 47.1 ± 13.2 years). Levels of serum PTH were directly correlated with the total number of hospitalizations (p< 0.01), and of depressive (p< 0.0001), manic (p< 0.001) and hypomanic episodes (p< 0.01). Serum levels of Vitamin D were positively associated with age at first psychiatric contact and were inversely correlated with the total number of depressive episodes (p< 0.05) and cyclothymic temperament (p< 0.05). Conclusions Increased levels of PTH and Vit D correlate with a worse clinical outcome of patients with BD. Our results highlight the importance to routinely assess PTH, Vit D and calcium levels in BD patients. Moreover, vitamin D may represent a valid add-on treatment for these patients. Disclosure No significant relationships.
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Zinno F, Palummo C, Giannelli L, Pitocco A, Carello A, Barone E, Giallonardo V, Sampogna G, Luciano M, Vecchio VD, Fiorillo A. Psychopathological and psychosocial factors influencing physical health of people with mental disorders. Eur Psychiatry 2021. [PMCID: PMC9471654 DOI: 10.1192/j.eurpsy.2021.402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
IntroductionSevere mental disorders (SMD) are associated with higher morbidity rates and poorer health outcomes compared to the general population. They are more likely to be overweight, to be affected by cardiovascular diseases, and to have higher risk factors for chronic diseases.ObjectivesTo assess physical health in a sample of patients with SMD and to investigate which mental health-related factors and other psychosocial outcomes could be considered predictors of poor physical health.MethodsPatients referring to the psychiatric outpatients unit of the University of Campania “L. Vanvitelli” were recruited, and were assessed through validated assessment instruments exploring psychopathological status, global functioning and stigma. Physical health was assessed with an ad-hoc anthropometric schedule. A blood sample has been collected to assess levels of cholesterol, blood glucose, triglycerides, and blood insulin.Results75 patients have been recruited, with a mean age of 45.63±11.84 years. 30% of the sample had a diagnosis of psychosis, 27% of depression and 43% of bipolar disorder. A higher BMI is predicted by higher number of hospitalizations, a reduced score at MANSA (p<.000), and PSP (p<.05), and higher score at ISMI and BPRS (p<.05). A higher cardiovascular risk is predicted by a reduced MANSA score (p<.000), a higher ISMI score and a poorer adherence to pharmacological treatments (p<.05). Higher ISMI score (p<.0001) and number of hospitalizations (p<.05) are predictors of insulin-resistance.ConclusionsOur study shows that psychosocial domains negatively influence physical health outcome. It is necessary to disseminate an integrated psychosocial intervention in order to improve patients’ physical health.DisclosureNo significant relationships.
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Giannelli L, Cristilli G, Marone L, Felice GD, Carello A, Vincenzo MD, Sollo V, Cerbo AD, Giallonardo V, Sampogna G, Vecchio VD, Luciano M, Fiorillo A. The reciprocal relation between stigma and suicidality in a sample of patients with affective disorders. Eur Psychiatry 2021. [PMCID: PMC9471563 DOI: 10.1192/j.eurpsy.2021.470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
IntroductionSuicide is one of the major public health concerns worldwide, currently listed as the 15th most common cause of death. Mental illness stigma may contribute to suicidality and is associated with social isolation and low self-esteem among people with affective disorders.ObjectivesThe aim of the present study is to assess, in a sample of people with affective disorders, whether high levels of internalized stigma are associated to suicidal thoughts and behaviours.Methods60 outpatients diagnosed with depression or bipolar disorder according to DSM-5 have been recruited. Suicidal behaviours and ideation were assessed through the Columbia Suicide Severity Rating Scale (C-SSRS); internalized stigma through the Internalized Stigma of Mental Illness (ISMI) scale. Socio-demographic characteristics have been collected through an ad hoc schedule.Results62.9% of the sample was female, with a mean age of 45.7 (±14) years. About half of the sample had a diagnosis of major depression (54.8%). Patients with suicidal ideation reported higher score at ISMI “alienation” subscale (p<0,05), compared to those without suicidal ideation. Patients with a previous history suicide attempts reported higher score at “alienation” and “social withdrawal” ISMI subscales (p<0,05). Moreover, “alienation” ISMI subscale significantly correlated with suicidal ideation and behaviours (p<0,01).ConclusionsThese results are in line with the available literature, highlighting that stigma and suicidality are strongly correlated. This underline the importance of interventions at addressing internalizing stigma, in particular to those with previous suicidal attempts and with an active suicidal ideation.DisclosureNo significant relationships.
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Uneri A, Wu P, Jones CK, Ketcha MD, Vagdargi P, Han R, Helm PA, Luciano M, Anderson WS, Siewerdsen JH. Data-Driven Deformable 3D-2D Registration for Guiding Neuroelectrode Placement in Deep Brain Stimulation. Proc SPIE Int Soc Opt Eng 2021; 11598:115981B. [PMID: 35982943 PMCID: PMC9382676 DOI: 10.1117/12.2582160] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
PURPOSE Deep brain stimulation is a neurosurgical procedure used in treatment of a growing spectrum of movement disorders. Inaccuracies in electrode placement, however, can result in poor symptom control or adverse effects and confound variability in clinical outcomes. A deformable 3D-2D registration method is presented for high-precision 3D guidance of neuroelectrodes. METHODS The approach employs a model-based, deformable algorithm for 3D-2D image registration. Variations in lead design are captured in a parametric 3D model based on a B-spline curve. The registration is solved through iterative optimization of 16 degrees-of-freedom that maximize image similarity between the 2 acquired radiographs and simulated forward projections of the neuroelectrode model. The approach was evaluated in phantom models with respect to pertinent imaging parameters, including view selection and imaging dose. RESULTS The results demonstrate an accuracy of (0.2 ± 0.2) mm in 3D localization of individual electrodes. The solution was observed to be robust to changes in pertinent imaging parameters, which demonstrate accurate localization with ≥20° view separation and at 1/10th the dose of a standard fluoroscopy frame. CONCLUSIONS The presented approach provides the means for guiding neuroelectrode placement from 2 low-dose radiographic images in a manner that accommodates potential deformations at the target anatomical site. Future work will focus on improving runtime though learning-based initialization, application in reducing reconstruction metal artifacts for 3D verification of placement, and extensive evaluation in clinical data from an IRB study underway.
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Affiliation(s)
- A. Uneri
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
| | - P. Wu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
| | - C. K. Jones
- Department of Computer Science, Johns Hopkins University, Baltimore MD
| | - M. D. Ketcha
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
| | - P. Vagdargi
- Department of Computer Science, Johns Hopkins University, Baltimore MD
| | - R. Han
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
| | | | - M. Luciano
- Department of Neurosurgery, Johns Hopkins Medicine, Baltimore MD
| | - W. S. Anderson
- Department of Neurosurgery, Johns Hopkins Medicine, Baltimore MD
| | - J. H. Siewerdsen
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD
- Department of Computer Science, Johns Hopkins University, Baltimore MD
- Department of Neurosurgery, Johns Hopkins Medicine, Baltimore MD
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Batty GD, Deary IJ, Luciano M, Altschul DM, Kivimäki M, Gale CR. Psychosocial factors and hospitalisations for COVID-19: Prospective cohort study based on a community sample. Brain Behav Immun 2020; 89:569-578. [PMID: 32561221 PMCID: PMC7297693 DOI: 10.1016/j.bbi.2020.06.021] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 06/14/2020] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND While certain infectious diseases have been linked to socioeconomic disadvantage, mental health problems, and lower cognitive function, relationships with COVID-19 are either uncertain or untested. Our objective was to examine the association of a range of psychosocial factors with hospitalisation for COVID-19. METHODS UK Biobank, a prospective cohort study, comprises around half a million people who were aged 40-69 years at study induction between 2006 and 2010 when information on psychosocial factors and covariates were captured. Hospitalisations for COVID-19 were ascertained between 16th March and 26th April 2020. RESULTS There were 908 hospitalisations for COVID-19 in an analytical sample of 431,051 England-based study members. In age- and sex-adjusted analyses, an elevated risk of COVID-19 was related to disadvantaged levels of education (odds ratio; 95% confidence interval: 2.05; 1.70, 2.47), income (2.00; 1.63, 2,47), area deprivation (2.20; 1.86, 2.59), occupation (1.39; 1.14, 1.69), psychological distress (1.58; 1.32, 1.89), mental health (1.50; 1.25, 1.79), neuroticism (1.19; 1.00, 1.42), and performance on two tests of cognitive function - verbal and numerical reasoning (2.66; 2.06, 3.34) and reaction speed (1.27; 1.08, 1.51). These associations were graded (p-value for trend ≤ 0.038) such that effects were apparent across the full psychosocial continua. After mutual adjustment for these characteristics plus ethnicity, comorbidity, and lifestyle factors, only the relationship between lower cognitive function as measured using the reasoning test and risk of the infection remained (1.98; 1.38, 2.85). CONCLUSIONS A range of psychosocial factors revealed associations with hospitalisation for COVID-19 of which the relation with cognitive function, a marker of health literacy, was most robust.
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Affiliation(s)
- G D Batty
- Department of Epidemiology and Public Health, University College London, UK.
| | - I J Deary
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK.
| | - M Luciano
- Department of Psychology, The University of Edinburgh, Edinburgh, UK.
| | - D M Altschul
- Department of Psychology, The University of Edinburgh, Edinburgh, UK.
| | - M Kivimäki
- Department of Epidemiology and Public Health, University College London, UK.
| | - C R Gale
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK; MRC Lifecourse Epidemiology Unit, University of Southampton, UK.
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Del Vecchio V, Giacco D, Luciano M, Del Gaudio L, De Rosa C, Fiorillo A, Maj M. Coercive measures in italian inpatient units: results from eunomia study. Eur Psychiatry 2020. [DOI: 10.1016/s0924-9338(11)72234-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Abstract
IntroductionThe use of coercive measures in clinical practice represents a common, but understudied problem in Europe. In 2002–2005, the European Commission funded the study “European Evaluation of coercion in psychiatry and harmonization of best clinical practice” (EUNOMIA), coordinated by the Department of Psychiatry of the University of Dresden and carried out in 12 European countries.ObjectivesThis study, carried out on the Italian EUNOMIA sample, aims to:1)assess the use of coercive measures in five Italian mental health inpatient units;2)identify the patients’ socio-demographic and clinical characteristics associated with the use of coercive measures;3)investigate the effect of coercive measures on the outcome of the patients.MethodsThe Italian sample included 294 admitted patients. Data were collected on coercive measures (physical restraint, seclusion and forced medication)ResultsAlmost 30% of the patients received coercive measures during their hospitalization; in particular, 22% received forced medication, 9% were restrained or fixed by mechanic devices, 7% were seclused. The most frequent reason for prescribing coercive measures was aggression against others. Patients who received coercive measures were more frequently male, with higher BPRS scores and a worse social functioning. At three months after discharge, they showed higher levels of positive symptoms, and reported more negative opinions on the need of hospital admission and on the appropriateness of psychiatric treatments.ConclusionsIn Italy coercive measures are in most of the cases applied to the patients affected by more severe psychopathology and disability.
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Evans-Lacko S, Courtin E, Fiorillo A, Knapp M, Luciano M, Park AL, Brunn M, Byford S, Chevreul K, Forsman A, Gulacsi L, Haro J, Kennelly B, Knappe S, Lai T, Lasalvia A, Miret M, O'Sullivan C, Obradors-Tarragó C, Rüsch N, Sartorius N, Švab V, van Weeghel J, Van Audenhove C, Wahlbeck K, Zlati A, McDaid D, Thornicroft G. The state of the art in European research on reducing social exclusion and stigma related to mental health: A systematic mapping of the literature. Eur Psychiatry 2020; 29:381-9. [DOI: 10.1016/j.eurpsy.2014.02.007] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2014] [Revised: 02/16/2014] [Accepted: 02/19/2014] [Indexed: 10/25/2022] Open
Abstract
AbstractStigma and social exclusion related to mental health are of substantial public health importance for Europe. As part of ROAMER (ROAdmap for MEntal health Research in Europe), we used systematic mapping techniques to describe the current state of research on stigma and social exclusion across Europe. Findings demonstrate growing interest in this field between 2007 and 2012. Most studies were descriptive (60%), focused on adults of working age (60%) and were performed in Northwest Europe—primarily in the UK (32%), Finland (8%), Sweden (8%) and Germany (7%). In terms of mental health characteristics, the largest proportion of studies investigated general mental health (20%), common mental disorders (16%), schizophrenia (16%) or depression (14%). There is a paucity of research looking at mechanisms to reduce stigma and promote social inclusion, or at factors that might promote resilience or protect against stigma/social exclusion across the life course. Evidence is also limited in relation to evaluations of interventions. Increasing incentives for cross-country research collaborations, especially with new EU Member States and collaboration across European professional organizations and disciplines, could improve understanding of the range of underpinning social and cultural factors which promote inclusion or contribute toward lower levels of stigma, especially during times of hardship.
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Ahmed AK, Luciano M, Moghekar A, Shin J, Aygun N, Sair HI, Rigamonti D, Blitz AM. Does the Presence or Absence of DESH Predict Outcomes in Adult Hydrocephalus? AJNR Am J Neuroradiol 2018; 39:2022-2026. [PMID: 30361433 DOI: 10.3174/ajnr.a5820] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 08/10/2018] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The DESH (disproportionately enlarged subarachnoid-space hydrocephalus) pattern of "tight high-convexity and medial subarachnoid spaces, and enlarged Sylvian fissures with ventriculomegaly" is used to determine which patients undergo an operation for adult hydrocephalus at many centers. Our aim was to review adult hydrocephalus cases when DESH has not been a criterion for an operation to determine the prevalence of DESH among the cohort and compare the surgical outcomes in the presence or absence of DESH. MATERIALS AND METHODS A retrospective cohort study was conducted at a single institution (Johns Hopkins Hospital) to include patients surgically treated for adult hydrocephalus between 2003 and 2014 drawn from a data base of patients who had undergone standardized hydrocephalus protocol MR imaging. Preoperative imaging was reviewed by 2 blinded neuroradiologists to characterize the presence of DESH. Preoperative and postoperative clinical symptomatology was recorded. Frequencies were compared using the Fisher exact test, and nonparametric means were compared using the Mann-Whitney U Test. RESULTS One hundred thirty-three subjects were identified and included (96 DESH absent, 37 DESH present). Shunting led to significant improvement in gait and urinary and cognitive symptoms for the overall cohort and for patients with and without DESH (P < .05). The Fisher exact test did not demonstrate any significant differences in either gait or urinary or cognitive symptom improvement between patients with or without DESH (P > .05). CONCLUSIONS The current study demonstrated symptom improvement in patients with adult hydrocephalus following shunting, with no significant differences between subjects with and without DESH. Thus, shunt insertion for patients with adult hydrocephalus should not rely solely on the presence of preoperative DESH findings.
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Affiliation(s)
- A K Ahmed
- From the Departments of Neurosurgery (A.K.A., M.L., D.R.)
| | - M Luciano
- From the Departments of Neurosurgery (A.K.A., M.L., D.R.)
| | | | - J Shin
- Department of Radiology (J.S.), University of California, San Francisco, School of Medicine, San Francisco, California
| | - N Aygun
- Radiology and Radiological Sciences (N.A., H.I.S., A.M.B.), Division of Neuroradiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - H I Sair
- Radiology and Radiological Sciences (N.A., H.I.S., A.M.B.), Division of Neuroradiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - D Rigamonti
- From the Departments of Neurosurgery (A.K.A., M.L., D.R.)
| | - A M Blitz
- Radiology and Radiological Sciences (N.A., H.I.S., A.M.B.), Division of Neuroradiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
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Dell'Osso L, Carpita B, Gesi C, Cremone IM, Corsi M, Massimetti E, Muti D, Calderani E, Castellini G, Luciano M, Ricca V, Carmassi C, Maj M. Subthreshold autism spectrum disorder in patients with eating disorders. Compr Psychiatry 2018; 81:66-72. [PMID: 29268154 DOI: 10.1016/j.comppsych.2017.11.007] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 11/19/2017] [Accepted: 11/22/2017] [Indexed: 11/26/2022] Open
Abstract
AIM Increasingly data suggest a possible overlap between psychopathological manifestations of eating disorders (EDs) and autism spectrum disorders (ASD). The aim of the present study was to assess the presence of subthreshold autism spectrum symptoms, by means of a recently validated instrument, in a sample of participants with EDs, particularly comparing participants with or without binge eating behaviours. METHODS 138 participants meeting DSM-5 criteria for EDs and 160 healthy control participants (HCs), were recruited at 3 Italian University Departments of Psychiatry and assessed by the SCID-5, the Adult Autism Subthreshold Spectrum (AdAS Spectrum) and the Eating Disorders Inventory, version 2 (EDI-2). ED participants included: 46 with restrictive anorexia (AN-R); 24 with binge-purging type of Anorexia Nervosa (AN-BP); 34 with Bulimia Nervosa (BN) and 34 with Binge Eating Disorder (BED). The sample was split in two groups: participants with binge eating behaviours (BEB), in which were included participants with AN-BP, BN and BED, and participants with restrictive behaviours (AN-R). RESULTS participants with EDs showed significantly higher AdAS Spectrum total scores than HCs. Moreover, EDs participants showed significantly higher scores on all AdAS Spectrum domains with the exception of Non verbal communication and Hyper-Hypo reactivity to sensory input for AN-BP participants, and Childhood/Adolescence domain for AN-BP and BED participants. Participants with AN-R scored significantly higher than participants with BEB on the AdAS Spectrum total score, and on the Inflexibility and adherence to routine and Restricted interest/rumination AdAS Spectrum domain scores. Significant correlations emerged between the Interpersonal distrust EDI-2 sub-scale and the Non verbal communication and the Restricted interest and rumination AdAS Spectrum domains; as well as between the Social insecurity EDI-2 sub-scale and the Inflexibility and adherence to routine and Restricted interest and rumination domains in participants with EDs. CONCLUSIONS Our data corroborate the presence of higher subthreshold autism spectrum symptoms among ED participants with respect to HCs, with particularly higher levels among restrictive participants. Relevant correlations between subthreshold autism spectrum symptoms and EDI-2 Subscale also emerged.
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Affiliation(s)
- L Dell'Osso
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - B Carpita
- Department of Clinical and Experimental Medicine, University of Pisa, Italy.
| | - C Gesi
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - I M Cremone
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - M Corsi
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - E Massimetti
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - D Muti
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - E Calderani
- Psychiatric Unit, Department of Neuropsychiatric Sciences, Florence University School of Medicine, 50134 Firenze, Italy
| | - G Castellini
- Psychiatric Unit, Department of Neuropsychiatric Sciences, Florence University School of Medicine, 50134 Firenze, Italy
| | - M Luciano
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - V Ricca
- Psychiatric Unit, Department of Neuropsychiatric Sciences, Florence University School of Medicine, 50134 Firenze, Italy
| | - C Carmassi
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - M Maj
- Department of Psychiatry, University of Naples SUN, Naples, Italy
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26
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Adam A, Robison J, Lu J, Jose R, Badran N, Vivas-Buitrago T, Rigamonti D, Sattar A, Omoush O, Hammad M, Dawood M, Maghaslah M, Belcher T, Carson K, Hoffberger J, Jusué Torres I, Foley S, Yasar S, Thai QA, Wemmer J, Klinge P, Al-Mutawa L, Al-Ghamdi H, Carson KA, Asgari M, de Zélicourt D, Kurtcuoglu V, Garnotel S, Salmon S, Balédent O, Lokossou A, Page G, Balardy L, Czosnyka Z, Payoux P, Schmidt EA, Zitoun M, Sevestre MA, Alperin N, Baudracco I, Craven C, Matloob S, Thompson S, Haylock Vize P, Thorne L, Watkins LD, Toma AK, Bechter K, Pong AC, Jugé L, Bilston LE, Cheng S, Bradley W, Hakim F, Ramón JF, Cárdenas MF, Davidson JS, García C, González D, Bermúdez S, Useche N, Mejía JA, Mayorga P, Cruz F, Martinez C, Matiz MC, Vallejo M, Ghotme K, Soto HA, Riveros D, Buitrago A, Mora M, Murcia L, Bermudez S, Cohen D, Dasgupta D, Curtis C, Domínguez L, Remolina AJ, Grijalba MA, Whitehouse KJ, Edwards RJ, Eleftheriou A, Lundin F, Fountas KN, Kapsalaki EZ, Smisson HF, Robinson JS, Fritsch MJ, Arouk W, Garzon M, Kang M, Sandhu K, Baghawatti D, Aquilina K, James G, Thompson D, Gehlen M, Schmid Daners M, Eklund A, Malm J, Gomez D, Guerra M, Jara M, Flores M, Vío K, Moreno I, Rodríguez S, Ortega E, Rodríguez EM, McAllister JP, Guerra MM, Morales DM, Sival D, Jimenez A, Limbrick DD, Ishikawa M, Yamada S, Yamamoto K, Junkkari A, Häyrinen A, Rauramaa T, Sintonen H, Nerg O, Koivisto AM, Roine RP, Viinamäki H, Soininen H, Luikku A, Jääskeläinen JE, Leinonen V, Kehler U, Lilja-Lund O, Kockum K, Larsson EM, Riklund K, Söderström L, Hellström P, Laurell K, Kojoukhova M, Sutela A, Vanninen R, Vanha KI, Timonen M, Rummukainen J, Korhonen V, Helisalmi S, Solje E, Remes AM, Huovinen J, Paananen J, Hiltunen M, Kurki M, Martin B, Loth F, Luciano M, Luikku AJ, Hall A, Herukka SK, Mattila J, Lötjönen J, Alafuzoff I, Jurjević I, Miyajima M, Nakajima M, Murai H, Shin T, Kawaguchi D, Akiba C, Ogino I, Karagiozov K, Arai H, Reis RC, Teixeira MJ, Valêncio CG, da Vigua D, Almeida-Lopes L, Mancini MW, Pinto FCG, Maykot RH, Calia G, Tornai J, Silvestre SSS, Mendes G, Sousa V, Bezerra B, Dutra P, Modesto P, Oliveira MF, Petitto CE, Pulhorn H, Chandran A, McMahon C, Rao AS, Jumaly M, Solomon D, Moghekar A, Relkin N, Hamilton M, Katzen H, Williams M, Bach T, Zuspan S, Holubkov R, Rigamonti A, Clemens G, Sharkey P, Sanyal A, Sankey E, Rigamonti K, Naqvi S, Hung A, Schmidt E, Ory-Magne F, Gantet P, Guenego A, Januel AC, Tall P, Fabre N, Mahieu L, Cognard C, Gray L, Buttner-Ennever JA, Takagi K, Onouchi K, Thompson SD, Thorne LD, Tully HM, Wenger TL, Kukull WA, Doherty D, Dobyns WB, Moran D, Vakili S, Patel MA, Elder B, Goodwin CR, Crawford JA, Pletnikov MV, Xu J, Blitz A, Herzka DA, Guerrero-Cazares H, Quiñones-Hinojosa A, Mori S, Saavedra P, Treviño H, Maitani K, Ziai WC, Eslami V, Nekoovaght-Tak S, Dlugash R, Yenokyan G, McBee N, Hanley DF. Abstracts from Hydrocephalus 2016. Fluids Barriers CNS 2017; 14:15. [PMID: 28929972 PMCID: PMC5471936 DOI: 10.1186/s12987-017-0054-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
- A Adam
- Johns Hopkins University, Baltimore, MD, USA.,Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA.,Johns Hopkins Biostatistics Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - J Robison
- Johns Hopkins University, Baltimore, MD, USA.,Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA.,Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - J Lu
- Johns Hopkins University, Baltimore, MD, USA.,Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA.,Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - R Jose
- Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia
| | - N Badran
- Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia
| | - T Vivas-Buitrago
- Johns Hopkins University, Baltimore, MD, USA.,Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA.,Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - D Rigamonti
- Johns Hopkins University, Baltimore, MD, USA.,Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia.,Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA.,Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.,Johns Hopkins Hopkins Aramco Healthcare, Dhahran, Saudi Arabia
| | - A Sattar
- Johns Hopkins Aramco Healthcare, Ras Tanura, Saudi Arabia.,Primary Care, Johns Hopkins Aramco Healthcare, Ras Tanura, Saudi Arabia
| | - O Omoush
- Johns Hopkins Aramco Healthcare, Ras Tanura, Saudi Arabia.,Primary Care, Johns Hopkins Aramco Healthcare, Ras Tanura, Saudi Arabia
| | - M Hammad
- Johns Hopkins Aramco Healthcare, Ras Tanura, Saudi Arabia
| | - M Dawood
- Johns Hopkins Aramco Healthcare, Ras Tanura, Saudi Arabia
| | - M Maghaslah
- Johns Hopkins Aramco Healthcare, Ras Tanura, Saudi Arabia
| | - T Belcher
- Johns Hopkins Aramco Healthcare, Ras Tanura, Saudi Arabia
| | - K Carson
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA.,Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - J Hoffberger
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA
| | - I Jusué Torres
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA.,Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - S Foley
- Department of Neurosurgery, Rhode Island Hospital, Providence, RI, USA
| | - S Yasar
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA
| | - Q A Thai
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA
| | - J Wemmer
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA
| | - P Klinge
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA
| | - L Al-Mutawa
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA
| | - H Al-Ghamdi
- Department of Neurosurgery, Rhode Island Hospital, Providence, RI, USA
| | - K A Carson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - M Asgari
- The Interface Group, Institute of PhysiologyUniversity of Zurich, Zurich, Switzerland
| | - D de Zélicourt
- The Interface Group, Institute of PhysiologyUniversity of Zurich, Zurich, Switzerland
| | - V Kurtcuoglu
- The Interface Group, Institute of PhysiologyUniversity of Zurich, Zurich, Switzerland.,Institute of Physiology, University of Zurich, Zurich, Switzerland.,Neuroscience Center Zurich and the Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - S Garnotel
- BioFlowImage Laboratory, University of Picardie Jules Verne, Amiens, France.,Reims Mathematics Laboratory, University of Reims Champagne-Ardenne, Reims, France.,Image Processing Laboratory, University Hospital of Amiens-Picardie, Amiens, France.,BioFlowImage Laboratory, Department of Medical Image Processing, University Hospital of Picardie Jules Verne, Amiens, France
| | - S Salmon
- Reims Mathematics Laboratory, University of Reims Champagne-Ardenne, Reims, France
| | - O Balédent
- BioFlowImage Laboratory, University of Picardie Jules Verne, Amiens, France.,Image Processing Laboratory, University Hospital of Amiens-Picardie, Amiens, France.,BioFlowImage Laboratory, Department of Medical Image Processing, University Hospital of Picardie Jules Verne, Amiens, France
| | - A Lokossou
- BioFlowImage Laboratory, Department of Medical Image Processing, University Hospital of Picardie Jules Verne, Amiens, France
| | - G Page
- BioFlowImage Laboratory, Department of Medical Image Processing, University Hospital of Picardie Jules Verne, Amiens, France
| | - L Balardy
- Department of Geriatric, University Hospital of Toulouse, Toulouse, France.,Departments of Geriatric, University Hospital of Toulouse, Toulouse, France.,Department of Geriatry, University Hospital Toulouse, Toulouse, France
| | - Z Czosnyka
- Neurosciences department, University of Cambridge, Cambridge, UK.,Brain Physics Lab, Academic Neurosurgery, University of Cambridge, Cambridge, UK
| | - P Payoux
- Department of Nuclear Medicine, University Hospital of Toulouse, Toulouse, France.,Department of Nuclear Medicine, University Hospital Toulouse, Toulouse, France.,INSER TONIC 1014, Toulouse Neuroimaging Center, Toulouse, France
| | - E A Schmidt
- UMR 1214-INSERM/UPS-TONIC Toulouse Neuro-Imaging Center, Toulouse, France.,Department of Neurosurgery, University Hospital of Toulouse, Toulouse, France.,Department of Neurosurgery, University Hospital Toulouse, Toulouse, France
| | - M Zitoun
- BioFlowImage, University Hospital of Picardie Jules Verne, Amiens, France
| | - M A Sevestre
- BioFlowImage, University Hospital of Picardie Jules Verne, Amiens, France
| | - N Alperin
- University of Miami Health System, Miami, FL, USA
| | - I Baudracco
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK
| | - C Craven
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK
| | - S Matloob
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK
| | - S Thompson
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK
| | - P Haylock Vize
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK
| | - L Thorne
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK
| | - L D Watkins
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.,The National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - A K Toma
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.,The National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Karl Bechter
- Department Psychiatry II/Bezirkskliniken, Ulm University, Günzburg, Germany
| | - A C Pong
- Neuroscience Research Australia, Randwick, Australia.,School of Medical Sciences, University of New South Wales, Kensington, Australia
| | - L Jugé
- Neuroscience Research Australia, Randwick, Australia.,School of Medical Sciences, University of New South Wales, Kensington, Australia
| | - L E Bilston
- Neuroscience Research Australia, Randwick, Australia.,Prince of Wales Clinical School, University of New South Wales, Kensington, Australia
| | - S Cheng
- Neuroscience Research Australia, Randwick, Australia.,Department of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, Australia
| | - W Bradley
- Department of Radiology, University of California San Diego Health System, San Diego, CA, USA
| | - F Hakim
- Department of Surgery, Section of Neurosurgery, Fundación Santa Fe de Bogotá, Bogotá, Colombia.,Neurosurgery Department, Hospital Universitario, Fundación Santafe de Bogota, Bogota, Colombia
| | - J F Ramón
- Department of Surgery, Section of Neurosurgery, Fundación Santa Fe de Bogotá, Bogotá, Colombia.,Grupo de Hidrocefalia con Presión Normal, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia.,Neurosurgery Department, Hospital Universitario, Fundación Santafe de Bogota, Bogota, Colombia
| | - M F Cárdenas
- Department of Surgery, Section of Neurosurgery, Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - J S Davidson
- Department of Surgery, Section of Neurosurgery, Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - C García
- Department of Surgery, Section of Neurosurgery, Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - D González
- Department of Surgery, Section of Neurosurgery, Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - S Bermúdez
- Department of Diagnostic Imaging, Section of Neuroradiology, Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - N Useche
- Department of Diagnostic Imaging, Section of Neuroradiology, Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - J A Mejía
- Grupo de Hidrocefalia con Presión Normal, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - P Mayorga
- Grupo de Hidrocefalia con Presión Normal, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - F Cruz
- Grupo de Hidrocefalia con Presión Normal, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - C Martinez
- Grupo de Hidrocefalia con Presión Normal, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - M C Matiz
- Grupo de Hidrocefalia con Presión Normal, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - M Vallejo
- Grupo de Hidrocefalia con Presión Normal, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - K Ghotme
- Grupo de Hidrocefalia con Presión Normal, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - H A Soto
- Grupo de Hidrocefalia con Presión Normal, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - D Riveros
- Grupo de Hidrocefalia con Presión Normal, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - A Buitrago
- Grupo de Hidrocefalia con Presión Normal, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - M Mora
- Grupo de Hidrocefalia con Presión Normal, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - L Murcia
- Grupo de Hidrocefalia con Presión Normal, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - S Bermudez
- Grupo de Hidrocefalia con Presión Normal, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - D Cohen
- Grupo de Hidrocefalia con Presión Normal, Hospital Universitario Fundación Santa Fe de Bogotá, Bogotá, Colombia
| | - D Dasgupta
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK
| | - C Curtis
- Department of Microbiology, University College London Hospital NHS Foundation Trust, London, UK
| | - L Domínguez
- Neurosurgery Department, Cartagena University, Cartagena de Indias, Colombia
| | - A J Remolina
- Neurosurgery Department, Cartagena University, Cartagena de Indias, Colombia
| | - M A Grijalba
- Neurosurgery Department, Cartagena University, Cartagena de Indias, Colombia
| | - K J Whitehouse
- Department of Paediatric Neurosurgery, Bristol Royal Hospital for Children, Bristol, UK
| | - R J Edwards
- Department of Paediatric Neurosurgery, Bristol Royal Hospital for Children, Bristol, UK
| | - A Eleftheriou
- Department of Neurology, University Hospital, Linköping, Sweden
| | - F Lundin
- Division of Neuroscience, Department of Clinical and Experimental Medicine (IKE), Linköping University, Linköping, Sweden
| | - K N Fountas
- Department of Neurosurgery, School of Medicine, University of Thessaly, Larisa, Greece
| | - E Z Kapsalaki
- Department of Diagnostic Radiology, School of Medicine, University of Thessaly, Larisa, Greece
| | - H F Smisson
- Department of Neurosurgery, Georgia Neurosurgical Institute, Macon, GA, USA
| | - J S Robinson
- Department of Neurosurgery, Georgia Neurosurgical Institute, Macon, GA, USA
| | - M J Fritsch
- Klinik für Neurochirurgie, Dietrich-Bonhoeffer-Klinikum, Neubrandenburg, Germany
| | - W Arouk
- Klinik für Neurochirurgie, Dietrich-Bonhoeffer-Klinikum, Neubrandenburg, Germany
| | - M Garzon
- Great Ormond Street Hospital, London, UK
| | - M Kang
- Great Ormond Street Hospital, London, UK
| | - K Sandhu
- Great Ormond Street Hospital, London, UK
| | | | - K Aquilina
- Great Ormond Street Hospital, London, UK
| | - G James
- Great Ormond Street Hospital, London, UK
| | - D Thompson
- Great Ormond Street Hospital, London, UK
| | - M Gehlen
- Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland.,Institute of Physiology, University of Zurich, Zurich, Switzerland
| | - M Schmid Daners
- Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland
| | - A Eklund
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - J Malm
- Department of Pharmacology and Clinical Neuroscience, Umeå University, Umeå, Sweden
| | - D Gomez
- Neurosurgery Department, Hospital Universitario, Fundación Santafe de Bogota, Bogota, Colombia
| | - M Guerra
- Instituto de Anatomía, Histología y Patología, Facultad de Medicina, UACh, Valdivia, Chile
| | - M Jara
- Instituto de Anatomía, Histología y Patología, Facultad de Medicina, UACh, Valdivia, Chile
| | - M Flores
- Laboratorio de Polímeros, Facultad de Ciencias, UACh, Valdivia, Chile
| | - K Vío
- Instituto de Anatomía, Histología y Patología, Facultad de Medicina, UACh, Valdivia, Chile
| | - I Moreno
- Laboratorio de Polímeros, Facultad de Ciencias, UACh, Valdivia, Chile
| | - S Rodríguez
- Instituto de Anatomía, Histología y Patología, Facultad de Medicina, UACh, Valdivia, Chile
| | - E Ortega
- Instituto de Neurociencias Clínicas, Facultad de Medicina, UACh, Valdivia, Chile
| | - E M Rodríguez
- Instituto de Anatomía, Histología y Patología, Facultad de Medicina, UACh, Valdivia, Chile.,Instituto de Histologia y Patologia, Facultad de Medicina, Universidad Austral de Chile, Valdivia, Chile
| | - J P McAllister
- Department of Neurosurgery, St. Louis Children's Hospital, St. Louis, MO, USA
| | - M M Guerra
- Instituto de Histologia y Patologia, Facultad de Medicina, Universidad Austral de Chile, Valdivia, Chile
| | - D M Morales
- Department of Neurosurgery, St. Louis Children's Hospital, St. Louis, MO, USA
| | - D Sival
- Department of Pediatrics Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - A Jimenez
- Departamento de Biología Celular, Genética y Fisiología Facultad de Ciencias, Universidad de Malaga, Malaga, Spain
| | - D D Limbrick
- Department of Neurosurgery, St. Louis Children's Hospital, St. Louis, MO, USA.,Department of Pediatrics, St. Louis Children's Hospital, St. Louis, MO, USA
| | - M Ishikawa
- Rakuwa Villa Ilios, Kyoto, Japan.,Normal Pressure Hydrocephalus Center, Otowa Hospital, Kyoto, Japan
| | - S Yamada
- Normal Pressure Hydrocephalus Center, Otowa Hospital, Kyoto, Japan.,Department of Neurosurgery, Otowa Hospital, Kyoto, Japan
| | - K Yamamoto
- Department of Neurosurgery, Otowa Hospital, Kyoto, Japan
| | - A Junkkari
- Neurosurgery of NeuroCenter, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland.,Neurosurgery of NeuroCenter, Kuopio University Hospital, Kuopio, Finland
| | - A Häyrinen
- Neurosurgery of NeuroCenter, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - T Rauramaa
- Department of Pathology, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland.,Department of Pathology, Kuopio University Hospital, Kuopio, Finland.,Institute of Clinical Medicine-Pathology, University of Eastern Finland, Kuopio, Finland
| | - H Sintonen
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - O Nerg
- Neurology of NeuroCenter, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.,Neurology of NeuroCenter, Kuopio University Hospital, Kuopio, Finland.,Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - A M Koivisto
- Neurology of NeuroCenter, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.,Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Neurology of NeuroCenter, Kuopio University Hospital, Kuopio, Finland.,Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.,Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - R P Roine
- University of Eastern Finland, Kuopio Finland and Helsinki and Uusimaa Hospital DistrictGroup Administration, Helsinki, Finland
| | - H Viinamäki
- Department of Psychiatry, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - H Soininen
- Department of Neurology, University of Eastern Finland, Kuopio, Finland.,Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Neurology of NeuroCenter, Kuopio University Hospital, Kuopio, Finland.,Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.,Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - A Luikku
- Neurology of NeuroCenter, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - J E Jääskeläinen
- Neurosurgery of NeuroCenter, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland.,Department of Neurosurgery, Kuopio University Hospital, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Neurosurgery of NeuroCenter, Kuopio University Hospital, Kuopio, Finland
| | - V Leinonen
- Neurosurgery of NeuroCenter, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland.,Department of Neurosurgery, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.,Department of Neurosurgery, Kuopio University Hospital, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Neurosurgery of NeuroCenter, Kuopio University Hospital, Kuopio, Finland
| | - U Kehler
- Neurosurgical Department, Asklepios Klinik Hamburg Altona, Hamburg, Germany
| | - O Lilja-Lund
- Department of Pharmacology and Clinical Neuroscience, Unit of Neurology, Östersund, Umeå University, Umeå, Sweden
| | - K Kockum
- Department of Pharmacology and Clinical Neuroscience, Unit of Neurology, Östersund, Umeå University, Umeå, Sweden
| | - E M Larsson
- Department of Radiology, Uppsala University, Uppsala, Sweden
| | - K Riklund
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - L Söderström
- Department of Pharmacology and Clinical Neuroscience, Unit of Neurology, Östersund, Umeå University, Umeå, Sweden
| | - P Hellström
- Hydrocephalus Research Unit, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - K Laurell
- Department of Pharmacology and Clinical Neuroscience, Unit of Neurology, Östersund, Umeå University, Umeå, Sweden
| | - M Kojoukhova
- Neurosurgery of NeuroCenter, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland.,Neurosurgery of NeuroCenter, Kuopio University Hospital, Kuopio, Finland.,Department of Radiology, Kuopio University Hospital, Kuopio, Finland
| | - A Sutela
- Department of Radiology, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland.,Department of Radiology, Kuopio University Hospital, Kuopio, Finland
| | - R Vanninen
- Department of Radiology, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - K I Vanha
- Neurosurgery of NeuroCenter, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - M Timonen
- Neurosurgery of NeuroCenter, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - J Rummukainen
- Department of Pathology, Kuopio University Hospital, Kuopio, Finland
| | - V Korhonen
- Department of Neurosurgery, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - S Helisalmi
- Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.,Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - E Solje
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.,Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - A M Remes
- Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Neurology of NeuroCenter, Kuopio University Hospital, Kuopio, Finland.,Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.,Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - J Huovinen
- Department of Neurosurgery, Kuopio University Hospital, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - J Paananen
- Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Department of Neurology, Kuopio University Hospital, Kuopio, Finland.,Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - M Hiltunen
- Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Neurology of NeuroCenter, Kuopio University Hospital, Kuopio, Finland.,Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.,Department of Neurology, Kuopio University Hospital, Kuopio, Finland.,Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - M Kurki
- Department of Neurosurgery, Kuopio University Hospital, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute for Harvard and MIT, Cambridge, MA, USA
| | - B Martin
- Biological Engineering, University of Idaho, Moscow, ID, USA
| | - F Loth
- Mechanical Engineering, University of Akron, Akron, Ohio, USA
| | - M Luciano
- Neurosurgery, Johns Hopkins University, Baltimore, MA, USA.,Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD, USA
| | - A J Luikku
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.,Neurosurgery of NeuroCenter, Kuopio University Hospital, Kuopio, Finland
| | - A Hall
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - S K Herukka
- Neurology of NeuroCenter, Kuopio University Hospital, Kuopio, Finland.,Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
| | - J Mattila
- VTT Technical Research Centre of Finland, Tampere, Finland.,Combinostics Ltd, Tampere, Finland
| | - J Lötjönen
- VTT Technical Research Centre of Finland, Tampere, Finland.,Combinostics Ltd, Tampere, Finland
| | - I Alafuzoff
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.,Rudbeck Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.,Department of Pathology and Cytology, Uppsala University Hospital, Uppsala, Sweden
| | - I Jurjević
- Department of Neurosurgery, Graduate School of Medicine, Juntendo University, Tokyo, Japan.,Department of Pharmacology and Department of Neurology, University of Zagreb School of Medicine, Zagreb, Croatia
| | - M Miyajima
- Department of Neurosurgery, Graduate School of Medicine, Juntendo University, Tokyo, Japan.,Department of Neurosurgery, Juntendo University School of Medicine, Tokyo, Japan
| | - M Nakajima
- Department of Neurosurgery, Graduate School of Medicine, Juntendo University, Tokyo, Japan.,Department of Neurosurgery, Juntendo University School of Medicine, Tokyo, Japan
| | - H Murai
- Department of Neurosurgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - T Shin
- Department of Neurosurgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - D Kawaguchi
- Department of Neurosurgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - C Akiba
- Department of Neurosurgery, Juntendo University School of Medicine, Tokyo, Japan
| | - I Ogino
- Department of Neurosurgery, Juntendo University School of Medicine, Tokyo, Japan
| | - K Karagiozov
- Department of Neurosurgery, Juntendo University School of Medicine, Tokyo, Japan
| | - H Arai
- Department of Neurosurgery, Juntendo University School of Medicine, Tokyo, Japan
| | - R C Reis
- Group of Cerebral Hydrodynamics, Division of Functional Neurosurgery, Institute of Psychiatry, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - M J Teixeira
- Group of Cerebral Hydrodynamics, Division of Functional Neurosurgery, Institute of Psychiatry, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - C G Valêncio
- Group of Cerebral Hydrodynamics, Division of Functional Neurosurgery, Institute of Psychiatry, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - D da Vigua
- Group of Cerebral Hydrodynamics, Division of Functional Neurosurgery, Institute of Psychiatry, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - L Almeida-Lopes
- Núcleo de Pesquisa e Ensino de Fototerapia nas Ciências da Saúde (NUPEN), São Carlos, Brazil
| | - M W Mancini
- Núcleo de Pesquisa e Ensino de Fototerapia nas Ciências da Saúde (NUPEN), São Carlos, Brazil
| | - F C G Pinto
- Group of Cerebral Hydrodynamics, Division of Functional Neurosurgery, Institute of Psychiatry, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - R H Maykot
- Group of Cerebral Hydrodynamics, Division of Functional Neurosurgery, Institute of Psychiatry, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - G Calia
- Group of Cerebral Hydrodynamics, Division of Functional Neurosurgery, Institute of Psychiatry, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - J Tornai
- Group of Cerebral Hydrodynamics, Division of Functional Neurosurgery, Institute of Psychiatry, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - S S S Silvestre
- Group of Cerebral Hydrodynamics, Division of Functional Neurosurgery, Institute of Psychiatry, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - G Mendes
- Group of Cerebral Hydrodynamics, Division of Functional Neurosurgery, Institute of Psychiatry, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - V Sousa
- Group of Cerebral Hydrodynamics, Division of Functional Neurosurgery, Institute of Psychiatry, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - B Bezerra
- Group of Cerebral Hydrodynamics, Division of Functional Neurosurgery, Institute of Psychiatry, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - P Dutra
- Group of Cerebral Hydrodynamics, Division of Functional Neurosurgery, Institute of Psychiatry, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - P Modesto
- Group of Cerebral Hydrodynamics, Division of Functional Neurosurgery, Institute of Psychiatry, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - M F Oliveira
- Group of Cerebral Hydrodynamics, Division of Functional Neurosurgery, Institute of Psychiatry, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - C E Petitto
- Group of Cerebral Hydrodynamics, Division of Functional Neurosurgery, Institute of Psychiatry, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil
| | - H Pulhorn
- Department of Neurosurgery, The Walton Centre, Liverpool, UK
| | - A Chandran
- Department of Neuroradiology, The Walton Centre, Liverpool, UK
| | - C McMahon
- Department of Neurosurgery, The Walton Centre, Liverpool, UK
| | - A S Rao
- The Johns Hopkins Hospital, Baltimore, MD, USA
| | - M Jumaly
- The Johns Hopkins Hospital, Baltimore, MD, USA
| | - D Solomon
- The Johns Hopkins Hospital, Baltimore, MD, USA.,Neurology, Johns Hopkins Hospital, Baltimore, MD, USA.,Department of Neurology, Johns Hopkins Bayview Medical Center, Baltimore, MD, USA
| | - A Moghekar
- The Johns Hopkins Hospital, Baltimore, MD, USA
| | - N Relkin
- Department of Neurology, Weill Cornell Medical College, New York, NY, USA
| | - M Hamilton
- Department of Neurosurgery, University of Calgary, Alberta, Canada
| | - H Katzen
- Department of Neurology, University of Miami, Miami, FL, USA
| | - M Williams
- Department of Neurosurgery, Washington University, Seattle, WA, USA
| | - T Bach
- Utah Data Collection Center (DCC), University of Utah, Salt Lake City, UT, USA
| | - S Zuspan
- Utah Data Collection Center (DCC), University of Utah, Salt Lake City, UT, USA
| | - R Holubkov
- Utah Data Collection Center (DCC), University of Utah, Salt Lake City, UT, USA
| | | | - G Clemens
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - P Sharkey
- School of Business, Loyola University Maryland, Baltimore, MD, USA
| | - A Sanyal
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - E Sankey
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA.,Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - K Rigamonti
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA
| | - S Naqvi
- Primary Care, Johns Hopkins Aramco Healthcare, Abqaiq, Saudi Arabia
| | - A Hung
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA.,Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - E Schmidt
- Department of Neurosurgery, University Hospital Toulouse, Toulouse, France
| | - F Ory-Magne
- Department of Neurology, University Hospital Toulouse, Toulouse, France.,INSER TONIC 1014, Toulouse Neuroimaging Center, Toulouse, France
| | - P Gantet
- Department of Nuclear Medicine, University Hospital Toulouse, Toulouse, France
| | - A Guenego
- Department of Neurosurgery, University Hospital Toulouse, Toulouse, France.,Department of Neuroradiology, University Hospital Toulouse, Toulouse, France
| | - A C Januel
- Department of Neuroradiology, University Hospital Toulouse, Toulouse, France
| | - P Tall
- Department of Neuroradiology, University Hospital Toulouse, Toulouse, France
| | - N Fabre
- Department of Neurology, University Hospital Toulouse, Toulouse, France
| | - L Mahieu
- Department of Ophtalmology, University Hospital Toulouse, Toulouse, France
| | - C Cognard
- Department of Neuroradiology, University Hospital Toulouse, Toulouse, France
| | - L Gray
- Department of Physiology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | | | - K Takagi
- Normal Pressure Hydrocephalus Center, Kashiwa-Tanaka Hospital, Kashiwa, Japan
| | - K Onouchi
- Department of Neurology, Kashiwa-Tanaka Hospital, Kashiwa, Japan
| | - S D Thompson
- The National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - L D Thorne
- The National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - H M Tully
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - T L Wenger
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - W A Kukull
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - D Doherty
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - W B Dobyns
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - D Moran
- Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - S Vakili
- Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - M A Patel
- Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - B Elder
- Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - C R Goodwin
- Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - J A Crawford
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - M V Pletnikov
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - J Xu
- F. M. Kirby Research Center for Functional Brain Imaging at the Kennedy Krieger Institute, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - A Blitz
- Department of Radiology and Radiological Science, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - D A Herzka
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - H Guerrero-Cazares
- Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - A Quiñones-Hinojosa
- Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.,Department of Oncology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - S Mori
- Department of Radiology-Magnetic Resonance Research, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - P Saavedra
- Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - H Treviño
- Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - K Maitani
- Department of Neurosurgery, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.,Tohoku University School of Medicine, Sendai, Japan
| | - W C Ziai
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - V Eslami
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - S Nekoovaght-Tak
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - R Dlugash
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - G Yenokyan
- Department of Biostatistics, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - N McBee
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - D F Hanley
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Sampogna G, Fiorillo A, Luciano M, Del Vecchio V, Volpe U, Monteleone A, Bruni A, Segura-Garcìa C, Catapano F, Monteleone P, Maj M. Are coping strategies really different among family members of patients with eating disorders? Eur Psychiatry 2017. [DOI: 10.1016/j.eurpsy.2017.01.807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
IntroductionFamily members of patients with Eating Disorders(EDs)–in dealing with the relatives’ disease–report negative feelings such as self-blame and criticism, but little is known regarding their coping strategies.ObjectivesTo describe coping strategies in a sample of relatives of patients with EDs using the Family Coping Questionnaire–Eating Disorder version (FCQ-ED).Aims (1) To evaluate coping strategies in relatives of patients with EDs; (2) to describe differences in coping strategies according to type of kinship with the patient; (3) to identify correlations among socio-demographic characteristics, patients’ clinical characteristic, and type of coping strategies.MethodsRelatives’ coping strategies were evaluated using the FCQ-ED, a self-administered questionnaire, consisting of 32 items, grouped in 5 subscales: coercion; positive communication; collusion; seeking for information; avoidance, plus one item on seeking for spiritual help.ResultsSeventy-two patients and 127 relatives were recruited. The most frequently adopted coping strategies were seeking for information, positive communication, seeking for spiritual help; the former were positively correlated with the level of education of both patients and relatives. Mothers avoided the patients less frequently than other relatives.DiscussionThis is one of the first studies focused on coping strategies in families of patients with EDs showing that problem-oriented ones are used quite often. Socio-demographic characteristics and type of kinship can have an impact on the adoption of coping strategies, but further longitudinal studies are needed in order to identify other possible factors implied in their development.ConclusionsThis represents an initial attempt to understand how clinical, social and personal variables can have an impact on the development of coping strategies.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Pocai B, Savorani M, Borriello G, Del Vecchio V, Sampogna G, De Rosa C, Malangone C, Luciano M, Giallonardo V, Fiorillo A. Psychoeducational Family Intervention: Benefits and Obstacles Reported by Mental Health Professionals. Eur Psychiatry 2017. [DOI: 10.1016/j.eurpsy.2017.01.276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
IntroductionDespite several guidelines recommend the use of psychoeducational family interventions (PFIs) as add-on in the treatment of patients with bipolar I disorder (a), their implementation on a large scale remains limited (b).ObjectivesTo identify benefits and obstacles in implementing a PFI in the clinical routine care.MethodsThis was a multicentre, real-world, controlled, outpatient trial, carried out in 11 randomly recruited Italian mental health centres. Mental health professionals received a training on PFI and provided the intervention to patients with bipolar I disorder and their relatives. Difficulties and benefits in performing PFI were collected through an ad-hoc schedule, which was administered at baseline and 5 times during the different stages of the intervention.ResultsMental health professionals report significant improvements in the intervention-related benefits over time (T0 = 5.3 ± 2.0 vs. T5 = 7.9 ± 0.9; P < .0001), in particular in their professional skills (T0 = 6.5 ± 2.3 vs. T5 = 8.0 ± 0.8; P < .01). They also report to be more satisfied with their own work (T0 = 6.6 ± 2.3 vs. T5 = 8.0 ± 1.3; P < .05). The most relevant difficulties were related to the need to integrate the PFI with other work responsibilities and to the lack of time, which did not decrease overtime.ConclusionsPFIs are feasible in routine care for the treatment of patients with bipolar I disorder and their relatives, and main obstacles are related to the organization of mental health centres, and not to the characteristics of the intervention itself.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Savorani M, Borriello G, Del Vecchio V, Sampogna G, De Rosa C, Malangone C, Luciano M, Pocai B, Giallonardo V, Fiorillo A. Effectiveness of Psychoeducational Family Intervention on Coping Strategies of Relatives of Patients with Bipolar I Disorder. Eur Psychiatry 2017. [DOI: 10.1016/j.eurpsy.2017.01.248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
BackgroundRelatives’ coping strategies – an essential element for the recovery of patients with severe mental disorders – are grouped in problem-oriented and emotion-focused. The former include practical strategies to deal with the stressful situation and are associated with a better long-term outcome of patients and relatives; the latter are psychologically driven and are associated with a worse outcome. It has been reported that psychoeducational family intervention (PFI) can improve problem-oriented coping strategies, while few data are available on relatives of patients with bipolar disorder.ObjectivesTo assess the impact of the PFI on promotion of problem-oriented coping strategies adopted by relatives of patients with bipolar I disorder.MethodsThis study was conducted in 11 Italian mental health centers. Patients and their relatives were allocated to the experimental group receiving PFI or to the control group (waiting list). Before starting the intervention and at the end of the PFI, coping strategies were assessed using the family coping questionnaire.ResultsOf the 139 recruited families, 72 families were allocated to the experimental group and 67 to the control group. Relatives from the experimental group reported a significant improvement in problem-oriented coping strategies, such as positive communication (P < .01) and searching for information (P < .05). On the other hand, a reduction in collusion (P < .0001), avoidance (P < .01) and resignation (P < .001) were found at the end of the intervention.ConclusionsPFI is effective in promoting the coping strategies in relatives of patients with bipolar I disorder and it should be given routinely in mental health centers.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Gesi C, Carmassi C, Luciano M, Bossini L, Ricca V, Fagiolini A, Maj M, Dell’Osso L. Autistic Traits in Patients with Anorexia Nervosa, Bulimia Nervosa or Binge Eating Disorder: A Pilot Study. Eur Psychiatry 2017. [DOI: 10.1016/j.eurpsy.2017.01.310] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
IntroductionPrevious data showed higher autistic traits in individuals with anorexia nervosa (AN) compared to healthy controls (CTL). It is not known, however, whether this characteristic is shared by other feeding and eating disorders (FEDs) or it is uniquely associated to AN.ObjectivesTo compare autistic traits among individuals with AN, bulimia nervosa (BN), binge eating disorder (BED) and CTL and to investigate which specific dimensions differentiate one group from another.MethodsA total of 241 FED patients (53 AN, 41 BN, 42 BED) and 105 CTL were administered the autism-spectrum quotient (AQ), the adult autism subthreshold spectrum (AdAS Spectrum), the Ritvo autism and Asperger diagnostic scale 14-item (RAADS-14 Screen).ResultsFED subjects reported higher AQ, AdAS spectrum and RAADS-14 total and subscales scores compared to CTL (all P < .001). No differences were found amongst AN, BN and BED subjects in questionnaires’ total scores. BN group scored higher than AN in the hyper-/hyporeactivity to sensory input domain of the AdAS spectrum (P < .001); AN group scored higher than BED in the attention switching domain of the AQ (P < .001), and BED group scored lower than both AN and BN in the mentalizing deficit domain of the RAADS-14 (all P < .001).ConclusionsWe reported for the first time that not only AN but also BN and BED patients show greater autistic traits compared to CTL. Longitudinal studies are needed to confirm this preliminary report and to elucidate whether autistic traits either precede, co-occur or follow FEDs.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Sampogna G, Caldararo O, Del Vecchio V, Luciano M, Volpe U, Fiorillo A, Monteleone P. Psychoeducational family intervention for people with eating disorders: Rationale and development. Eur Psychiatry 2017. [DOI: 10.1016/j.eurpsy.2017.02.415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
IntroductionFamily members of patients with EDs report high levels of burden, psychological distress and the need to receive information on the disease of their ill relative. There is the need to provide family members and patients with psychoeducational family intervention in order to satisfy their care needs.ObjectiveTo develop a new psychoeducational approach for patients with Eating Disorders (EDs) and their relatives according to the Falloon model.Aims(1) To develop a family psychoeducational intervention for patients with EDs. (2) To implement the experimental intervention in the clinical routine care. (3) To evaluate efficacy of the approach in terms of reduction of family burden and improvement of relatives’ coping strategies.ResultsThe Department of Psychiatry of the University of Naples SUN has developed a new psychoeducational family intervention for patients with EDs and their family members. The intervention consists of 6 sessions, scheduled weekly. The sessions deal with several topics such as information on EDs (e.g., causes, symptoms, clinical characteristics), communication skills (e.g., how to express an unpleasant feeling) and problem solving skills. The intervention is led by trained mental health professionals, such as psychiatrists, psychologists or rehabilitation technicians.DiscussionThis is the first example of psychoeducational intervention for families of patients with EDs developing according to the Falloon approach.ConclusionsFamily intervention represents an essential tool to provide to patients with EDs and their family members in order to promote a global recovery.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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32
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Dell'Osso L, Gesi C, Massimetti E, Cremone IM, Barbuti M, Maccariello G, Moroni I, Barlati S, Castellini G, Luciano M, Bossini L, Rocchetti M, Signorelli M, Aguglia E, Fagiolini A, Politi P, Ricca V, Vita A, Carmassi C, Maj M. Adult Autism Subthreshold Spectrum (AdAS Spectrum): Validation of a questionnaire investigating subthreshold autism spectrum. Compr Psychiatry 2017; 73:61-83. [PMID: 27918948 DOI: 10.1016/j.comppsych.2016.11.001] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Revised: 10/25/2016] [Accepted: 11/02/2016] [Indexed: 01/01/2023] Open
Abstract
AIM Increasing literature has shown the usefulness of a dimensional approach to autism. The present study aimed to determine the psychometric properties of the Adult Autism Subthreshold Spectrum (AdAS Spectrum), a new questionnaire specifically tailored to assess subthreshold forms of autism spectrum disorder (ASD) in adulthood. METHODS 102 adults endorsing at least one DSM-5 symptom criterion for ASD (ASDc), 143 adults diagnosed with a feeding and eating disorder (FED), and 160 subjects with no mental disorders (CTL), were recruited from 7 Italian University Departments of Psychiatry and administered the following: SCID-5, Autism-Spectrum Quotient (AQ), Ritvo Autism and Asperger Diagnostic Scale 14-item version (RAADS-14), and AdAS Spectrum. RESULTS The AdAS Spectrum demonstrated excellent internal consistency for the total score (Kuder-Richardson's coefficient=.964) as well as for five out of seven domains (all coefficients>.80) and sound test-retest reliability (ICC=.976). The total and domain AdAS Spectrum scores showed a moderate to strong (>.50) positive correlation with one another and with the AQ and RAADS-14 total scores. ASDc subjects reported significantly higher AdAS Spectrum total scores than both FED (p<.001) and CTL (p<.001), and significantly higher scores on the Childhood/adolescence, Verbal communication, Empathy, Inflexibility and adherence to routine, and Restricted interests and rumination domains (all p<.001) than FED, while on all domains compared to CTL. CTL displayed significantly lower total and domain scores than FED (all p<.001). A significant effect of gender emerged for the Hyper- and hyporeactivity to sensory input domain, with women showing higher scores than men (p=.003). A Diagnosis* Gender interaction was also found for the Verbal communication (p=.019) and Empathy (p=.023) domains. When splitting the ASDc in subjects with one symptom criterion (ASD1) and those with a ASD, and the FED in subjects with no ASD symptom criteria (FED0) and those with one ASD symptom criterion (FED1), a gradient of severity in AdAS Spectrum scores from CTL subjects to ASD patients, across FED0, ASD1, FED1 was shown. CONCLUSIONS The AdAS Spectrum showed excellent internal consistency and test-retest reliability and strong convergent validity with alternative dimensional measures of ASD. The questionnaire performed differently among the three diagnostic groups and enlightened some significant effects of gender in the expression of autistic traits.
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Affiliation(s)
- L Dell'Osso
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - C Gesi
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - E Massimetti
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - I M Cremone
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - M Barbuti
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - G Maccariello
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - I Moroni
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - S Barlati
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - G Castellini
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - M Luciano
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - L Bossini
- Department of Mental Health and Department of Molecular Medicine, University of Siena, Siena, Italy
| | - M Rocchetti
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - M Signorelli
- Department of Clinical and Molecular Biomedicine, University of Catania, Catania, Italy
| | - E Aguglia
- Department of Clinical and Molecular Biomedicine, University of Catania, Catania, Italy
| | - A Fagiolini
- Department of Mental Health and Department of Molecular Medicine, University of Siena, Siena, Italy
| | - P Politi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - V Ricca
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - A Vita
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - C Carmassi
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
| | - M Maj
- Department of Psychiatry, University of Naples SUN, Naples, Italy
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Luciano M, De Rosa C, Del Vecchio V, Sampogna G, Sbordone D, Atti AR, Bardicchia F, Bertossi F, Calò S, Cava L, Ciafone M, De Fazio P, Di Iorio G, Fantini E, Ferrari S, Ginanneschi A, Gotelli S, Macina A, Mulè A, Papanti D, Pingani L, Pinna F, Piselli M, Signorelli MS, Tarricone I, Tarsitani L, Ventriglio A, Carrà G, Catapano F, Fiorillo A. Perceived insecurity, mental health and urbanization: Results from a multicentric study. Int J Soc Psychiatry 2016; 62:252-61. [PMID: 26896027 DOI: 10.1177/0020764016629694] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
AIMS This article aims to (1) explore the levels of perceived insecurity in a sample of patients with mood or anxiety disorders and (2) assess whether living in 'big cities' can influence the levels of patients' perceived insecurity and social contacts compared to living in a non-urbanized context. METHODS A total of 24 Italian mental health centers (MHCs) have been invited to participate. Twenty patients consecutively accessing the MHC have been recruited. All patients have been assessed using validated assessment tools. RESULTS The sample consisted of 426 patients, mostly female, with a mean age of 45 years. Globally, 52.2% of patients had a diagnosis of mood disorders, and 37.8% had anxiety disorders. Half of the sample declared that the main feeling toward life is uncertainty; higher levels of pessimistic views toward life have been detected in patients living in urban areas. A positive association between negative attitudes toward life and higher levels of depressive and anxiety symptoms, poor social functioning and higher levels of perceived psychological distress has been found. CONCLUSION Our findings confirm the presence of a common sense of perceived uncertainty among our sample. Such attitude toward life can have a detrimental impact on patients' psychological and physical well-being, contributing to high levels of distress.
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Affiliation(s)
- M Luciano
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - C De Rosa
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - V Del Vecchio
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - G Sampogna
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - D Sbordone
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - A R Atti
- Department of Biomedical and Neuromotor Sciences, Institute of Psychiatry, University of Bologna, Bologna, Italy
| | | | - F Bertossi
- Mental Health Centre of Maddalena, ASS1 'Triestina', Trieste, Italy
| | - S Calò
- 'Vito Fazzi' Hospital, Lecce, Italy
| | - L Cava
- Mental Health Centre of Rende, Rende, Italy
| | - M Ciafone
- Mental Health Centre of Reggio Calabria, Reggio Calabria, Italy
| | - P De Fazio
- Psychiatric Unit, Department of Health Sciences, University of Magna Graecia of Catanzaro, Catanzaro, Italy
| | - G Di Iorio
- Department of Mental Health, 'G. Mazzini' Hospital, Teramo, Italy
| | - E Fantini
- Mental Health Centre of Camerino, Camerino, Italy
| | - S Ferrari
- Department of Diagnostic-Clinical Medicine and Public Health, University of Modena and Reggio Emilia, Modena, Italy
| | - A Ginanneschi
- Department of Psychiatry, University of Sassari, Sassari, Italy
| | - S Gotelli
- DSMeD, ASL3 Genovese, IDEA Onlus, Genova, Italy
| | - A Macina
- Department of Mental Health, Mons. Dimiccoli Hospital, Barletta, Italy
| | - A Mulè
- Psychiatric Unit, University Hospital 'P. Giaccone', Palermo, Italy
| | - D Papanti
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - L Pingani
- Human Resource Department, Local Health Agency of Reggio Emilia, Reggio Emilia, Italy
| | - F Pinna
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
| | - M Piselli
- Perugia University and SPDC 'S. Giovanni Battista', Foligno, Italy
| | - M S Signorelli
- Department of Clinical and Experimental Medicine, Institute of Psychiatry, University of Catania, Catania, Italy
| | - I Tarricone
- Bologna Transcultural Psychosomatic Team (BoTPT), Department of Medical and Surgical Sciences, Bologna University Hospital Authority St. Orsola-Malpighi Polyclinic, Bologna, Italy
| | - L Tarsitani
- Department of Neurology and Psychiatry, Policlinico Umberto I, Sapienza - University of Rome, Rome, Italy
| | - A Ventriglio
- Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - G Carrà
- University College London, London, UK
| | - F Catapano
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - A Fiorillo
- Department of Psychiatry, University of Naples SUN, Naples, Italy
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Luciano M. Does the use of coercion improve the outcome of patients with severe mental disorders? Eur Psychiatry 2016. [DOI: 10.1016/j.eurpsy.2016.01.831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Coercive measures have always been part of the psychiatric armamentarium; however, the clinical and ethical dilemma between the use of a “therapeutic” coercion and the loss of patients’ dignity is one of the most controversial issues in mental health practice. According to International guidelines, coercive measures should be adopted only when all the other less restrictive approaches failed and should be considered as the “last restrictive alternative”. Although coercive measures are frequently used to manage patients’ aggressive behaviors and self-harm, refusal of medication and impulsivity, their effect on patients’ outcome is not clear. In fact, the use of coercive measures can reduce patients’ aggressiveness and improve psychiatric symptoms, but can also have a negative impact in terms of therapeutic relationship, engagement with mental health services and self-stigma, arising negative feelings on patients and on mental health professionals. International attempts have been made to improve and harmonize the use of involuntary treatments. Recommendations of good clinical practice on the use of coercive involountary treatments and forced medications have been proposed by the EUNOMIA consortium, and the effect of coercion on the outcome of patients with severe mental disorders have been described. Results of this study will be reported as well as lessons learnt from other international experiences.Disclosure of interestThe author has not supplied his declaration of competing interest.
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Luciano M, Tardie W, Zeller M, Brückner C. Supersizing pyrrole-modified porphyrins by reversal of the ‘breaking and mending’ strategy. Chem Commun (Camb) 2016; 52:10133-6. [DOI: 10.1039/c6cc04028d] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A pyrrole inmeso-tetraphenylporphyrin was expanded by annulation ofN,N′-dimethylurea to a porphyrin β,β′-dione and subsequent merger of the pyrrole and urea atoms into an 8-membered ring.
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Affiliation(s)
- M. Luciano
- Department of Chemistry
- University of Connecticut
- Storrs
- USA
| | - W. Tardie
- Department of Chemistry
- University of Connecticut
- Storrs
- USA
| | - M. Zeller
- Department of Chemistry
- Purdue University
- West Lafayette
- USA
| | - C. Brückner
- Department of Chemistry
- University of Connecticut
- Storrs
- USA
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Chung C, Luciano M, John S, Kosmorsky G, Lystad L, Hui F. E-068 transverse sinus configurations in pseudotumor cerebri patients without elevated pressure gradients. J Neurointerv Surg 2015. [DOI: 10.1136/neurintsurg-2015-011917.143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Hui F, Lystad L, Hussain S, Bain M, Toth G, Kosmorsky G, Rasmussen P, Obuchowski N, Luciano M. E-069 do bmi and and venous pressure measurements predict the need for revisions in venous sinus stenting? J Neurointerv Surg 2015. [DOI: 10.1136/neurintsurg-2015-011917.144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Sampogna G, Luciano M, Del Vecchio V, Monteleone A, Fiorillo A, Monteleone P, Maj M. How to Assess Coping Strategies in Relatives of Patients with Eating Disorders? Eur Psychiatry 2015. [DOI: 10.1016/s0924-9338(15)30511-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Sampogna G, Del Vecchio V, Luciano M, De Rosa C, Malangone C, Fiorillo A, Maj M. Efficacy of Psychoeducational Family Intervention in Bipolar I Disorder: Results From a Multicenter, Randomized, Controlled Trial. Eur Psychiatry 2015. [DOI: 10.1016/s0924-9338(15)30438-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Sampogna G, Luciano M, Del Vecchio V, Obradors-Tarragò C, Fiorillo A, Maj M. The Future of Research in Mental Health in Europe: the Opinions of National Associations of Users and Carers. Eur Psychiatry 2015. [DOI: 10.1016/s0924-9338(15)30543-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Luciano M, Del Vecchio V, Sampogna G, De Rosa C, Ambrosini A, Fiorillo A, Stanghellini G. Training in Psychopathology in Europe: Results From a Survey. Eur Psychiatry 2015. [DOI: 10.1016/s0924-9338(15)30536-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Del Vecchio V, Luciano M, De Rosa C, Sampogna G, Fiorillo A. Providing Psychoeducational Family Intervention for Bipolar I Patients in the Real-world Study: Difficulties and Benefits for Mental Health Professionals. Eur Psychiatry 2015. [DOI: 10.1016/s0924-9338(15)31887-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Forsman AK, Wahlbeck K, Aaro LE, Alonso J, Barry MM, Brunn M, Cardoso G, Cattan M, de Girolamo G, Eberhard-Gran M, Evans-Lacko S, Fiorillo A, Hansson L, Haro JM, Hazo JB, Hegerl U, Katschnig H, Knappe S, Luciano M, Miret M, Nordentoft M, Obradors-Tarrago C, Pilgrim D, Ruud T, Salize HJ, Stewart-Brown SL, Tomasson K, van der Feltz-Cornelis CM, Ventus DBJ, Vuori J, Varnik A. Research priorities for public mental health in Europe: recommendations of the ROAMER project. Eur J Public Health 2015; 25:249-54. [DOI: 10.1093/eurpub/cku232] [Citation(s) in RCA: 94] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
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Davies G, Armstrong N, Bis JC, Bressler J, Chouraki V, Giddaluru S, Hofer E, Ibrahim-Verbaas CA, Kirin M, Lahti J, van der Lee SJ, Le Hellard S, Liu T, Marioni RE, Oldmeadow C, Postmus I, Smith AV, Smith JA, Thalamuthu A, Thomson R, Vitart V, Wang J, Yu L, Zgaga L, Zhao W, Boxall R, Harris SE, Hill WD, Liewald DC, Luciano M, Adams H, Ames D, Amin N, Amouyel P, Assareh AA, Au R, Becker JT, Beiser A, Berr C, Bertram L, Boerwinkle E, Buckley BM, Campbell H, Corley J, De Jager PL, Dufouil C, Eriksson JG, Espeseth T, Faul JD, Ford I, Scotland G, Gottesman RF, Griswold ME, Gudnason V, Harris TB, Heiss G, Hofman A, Holliday EG, Huffman J, Kardia SLR, Kochan N, Knopman DS, Kwok JB, Lambert JC, Lee T, Li G, Li SC, Loitfelder M, Lopez OL, Lundervold AJ, Lundqvist A, Mather KA, Mirza SS, Nyberg L, Oostra BA, Palotie A, Papenberg G, Pattie A, Petrovic K, Polasek O, Psaty BM, Redmond P, Reppermund S, Rotter JI, Schmidt H, Schuur M, Schofield PW, Scott RJ, Steen VM, Stott DJ, van Swieten JC, Taylor KD, Trollor J, Trompet S, Uitterlinden AG, Weinstein G, Widen E, Windham BG, Jukema JW, Wright AF, Wright MJ, Yang Q, Amieva H, Attia JR, Bennett DA, Brodaty H, de Craen AJM, Hayward C, Ikram MA, Lindenberger U, Nilsson LG, Porteous DJ, Räikkönen K, Reinvang I, Rudan I, Sachdev PS, Schmidt R, Schofield PR, Srikanth V, Starr JM, Turner ST, Weir DR, Wilson JF, van Duijn C, Launer L, Fitzpatrick AL, Seshadri S, Mosley TH, Deary IJ. Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53949). Mol Psychiatry 2015; 20:183-92. [PMID: 25644384 PMCID: PMC4356746 DOI: 10.1038/mp.2014.188] [Citation(s) in RCA: 258] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2014] [Revised: 11/11/2014] [Accepted: 11/24/2014] [Indexed: 01/14/2023]
Abstract
General cognitive function is substantially heritable across the human life course from adolescence to old age. We investigated the genetic contribution to variation in this important, health- and well-being-related trait in middle-aged and older adults. We conducted a meta-analysis of genome-wide association studies of 31 cohorts (N=53,949) in which the participants had undertaken multiple, diverse cognitive tests. A general cognitive function phenotype was tested for, and created in each cohort by principal component analysis. We report 13 genome-wide significant single-nucleotide polymorphism (SNP) associations in three genomic regions, 6q16.1, 14q12 and 19q13.32 (best SNP and closest gene, respectively: rs10457441, P=3.93 × 10(-9), MIR2113; rs17522122, P=2.55 × 10(-8), AKAP6; rs10119, P=5.67 × 10(-9), APOE/TOMM40). We report one gene-based significant association with the HMGN1 gene located on chromosome 21 (P=1 × 10(-6)). These genes have previously been associated with neuropsychiatric phenotypes. Meta-analysis results are consistent with a polygenic model of inheritance. To estimate SNP-based heritability, the genome-wide complex trait analysis procedure was applied to two large cohorts, the Atherosclerosis Risk in Communities Study (N=6617) and the Health and Retirement Study (N=5976). The proportion of phenotypic variation accounted for by all genotyped common SNPs was 29% (s.e.=5%) and 28% (s.e.=7%), respectively. Using polygenic prediction analysis, ~1.2% of the variance in general cognitive function was predicted in the Generation Scotland cohort (N=5487; P=1.5 × 10(-17)). In hypothesis-driven tests, there was significant association between general cognitive function and four genes previously associated with Alzheimer's disease: TOMM40, APOE, ABCG1 and MEF2C.
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Affiliation(s)
- G Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - N Armstrong
- School of Mathematics and Statistics, University of Sydney, Sydney, NSW, Australia
| | - J C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - J Bressler
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - V Chouraki
- Inserm-UMR744, Institut Pasteur de Lille, Unité d'Epidémiologie et de Santé Publique, Lille, France,Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - S Giddaluru
- K.G. Jebsen Centre for Psychosis Research and the Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway,Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - E Hofer
- Department of Neurology, Medical University of Graz, Graz, Austria,Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - C A Ibrahim-Verbaas
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands,Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M Kirin
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - J Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland,Folkhälsan Research Centre, Helsinki, Finland
| | - S J van der Lee
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - S Le Hellard
- K.G. Jebsen Centre for Psychosis Research and the Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway,Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - T Liu
- Max Planck Institute for Human Development, Berlin, Germany,Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - R E Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK,Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - C Oldmeadow
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW, Australia
| | - I Postmus
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland,University of Iceland, Reykjavik, Iceland
| | - J A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - A Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - R Thomson
- Menzies Research Institute, Hobart, Tasmania
| | - V Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - J Wang
- Framingham Heart Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - L Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - L Zgaga
- Department of Public Health and Primary Care, Trinity College Dublin, Dublin, Ireland,Andrija Stampar School of Public Health, Medical School, University of Zagreb, Zagreb, Croatia
| | - W Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - R Boxall
- Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - S E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - W D Hill
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - D C Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - M Luciano
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - H Adams
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - D Ames
- National Ageing Research Institute, Royal Melbourne Hospital, Melbourne, VIC, Australia,Academic Unit for Psychiatry of Old Age, St George's Hospital, University of Melbourne, Kew, Australia
| | - N Amin
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - P Amouyel
- Inserm-UMR744, Institut Pasteur de Lille, Unité d'Epidémiologie et de Santé Publique, Lille, France
| | - A A Assareh
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - R Au
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Framingham Heart Study, Framingham, MA, USA
| | - J T Becker
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA,Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA,Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - A Beiser
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Framingham Heart Study, Framingham, MA, USA
| | - C Berr
- Inserm, U106, Montpellier, France,Université Montpellier I, Montpellier, France
| | - L Bertram
- Max Planck Institute for Molecular Genetics, Berlin, Germany,Faculty of Medicine, School of Public Health, Imperial College, London, UK
| | - E Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA,Brown Foundation Institute of Molecular Medicine for the Prevention of Human Diseases, University of Texas Health Science Center at Houston, Houston, TX, USA,Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - B M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - H Campbell
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - J Corley
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - P L De Jager
- Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - C Dufouil
- Inserm U708, Neuroepidemiology, Paris, France,Inserm U897, Université Bordeaux Segalen, Bordeaux, France
| | - J G Eriksson
- Folkhälsan Research Centre, Helsinki, Finland,National Institute for Health and Welfare, Helsinki, Finland,Department of General Practice and Primary health Care, University of Helsinki, Helsinki, Finland,Unit of General Practice, Helsinki University Central Hospital, Helsinki, Finland
| | - T Espeseth
- K.G. Jebsen Centre for Psychosis Research, Norwegian Centre For Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Psychology, University of Oslo, Oslo, Norway
| | - J D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - I Ford
- Robertson Center for Biostatistics, Glasgow, UK
| | - Generation Scotland
- Generation Scotland, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - R F Gottesman
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - M E Griswold
- Center of Biostatistics and Bioinformatics, University of Mississippi Medical Center, Jackson, MS, USA
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland,University of Iceland, Reykjavik, Iceland
| | - T B Harris
- Intramural Research Program National Institutes on Aging, National Institutes of Health, Bethesda, MD, USA
| | - G Heiss
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - A Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - E G Holliday
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW, Australia
| | - J Huffman
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - S L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - N Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - D S Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - J B Kwok
- Neuroscience Research Australia, Randwick, NSW, Australia,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - J-C Lambert
- Inserm-UMR744, Institut Pasteur de Lille, Unité d'Epidémiologie et de Santé Publique, Lille, France
| | - T Lee
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - G Li
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - S-C Li
- Max Planck Institute for Human Development, Berlin, Germany,Technische Universität Dresden, Dresden, Germany
| | - M Loitfelder
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - O L Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - A J Lundervold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway,Kavli Research Centre for Aging and Dementia, Haraldsplass Deaconess Hospital, Bergen, Norway,K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | - A Lundqvist
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - K A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - S S Mirza
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - L Nyberg
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden,Department of Radiation Sciences, Umeå University, Umeå, Sweden,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
| | - B A Oostra
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - A Palotie
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland,Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, Finland
| | - G Papenberg
- Max Planck Institute for Human Development, Berlin, Germany,Karolinska Institutet, Aging Research Center, Stockholm University, Stockholm, Sweden
| | - A Pattie
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - K Petrovic
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - O Polasek
- Faculty of Medicine, Department of Public Health, University of Split, Split, Croatia
| | - B M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA,Deparment of Epidemiology, University of Washington, Seattle, WA, USA,Deparment of Health Services, University of Washington, Seattle, WA, USA,Group Health Research Unit, Group Health Cooperative, Seattle, WA, USA
| | - P Redmond
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - S Reppermund
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - J I Rotter
- Institute for Translational Genomics and Population Sciences Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Los Angeles, CA, USA,Division of Genetic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA, USA
| | - H Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria,Centre for Molecular Medicine, Institute of Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria
| | - M Schuur
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands,Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - P W Schofield
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia
| | - R J Scott
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW, Australia
| | - V M Steen
- K.G. Jebsen Centre for Psychosis Research and the Norwegian Centre for Mental Disorders Research (NORMENT), Department of Clinical Science, University of Bergen, Bergen, Norway,Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - D J Stott
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - J C van Swieten
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - K D Taylor
- Institute for Translational Genomics and Population Sciences Los Angeles BioMedical Research Institute, Harbor-UCLA Medical Center, Los Angeles, CA, USA,Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA, USA
| | - J Trollor
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Department of Developmental Disability Neuropsychiatry, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - S Trompet
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands,Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - A G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - G Weinstein
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Framingham Heart Study, Framingham, MA, USA
| | - E Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - B G Windham
- Division of Geriatrics, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands,Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands,Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - A F Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - M J Wright
- Neuroimaging Genetics Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Q Yang
- Framingham Heart Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - H Amieva
- Inserm U897, Université Bordeaux Segalen, Bordeaux, France
| | - J R Attia
- Hunter Medical Research Institute and Faculty of Health, University of Newcastle, Newcastle, NSW, Australia
| | - D A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - H Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Dementia Collaborative Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - A J M de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - C Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - M A Ikram
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands,Department of Radiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - U Lindenberger
- Max Planck Institute for Human Development, Berlin, Germany
| | - L-G Nilsson
- ARC, Karolinska Institutet, Stockholm and UFBI, Umeå University, Umeå, Sweden
| | - D J Porteous
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK,Generation Scotland, University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - K Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - I Reinvang
- Department of Psychology, University of Oslo, Oslo, Norway
| | - I Rudan
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - P S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - R Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - P R Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia,Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - V Srikanth
- Menzies Research Institute, Hobart, Tasmania,Stroke and Ageing Research, Medicine, Southern Clinical School, Monash University, Melbourne, VIC, Australia
| | - J M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - S T Turner
- Division of Nephrology and Hypertension, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - D R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - J F Wilson
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - C van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands
| | - L Launer
- Intramural Research Program National Institutes on Aging, National Institutes of Health, Bethesda, MD, USA
| | - A L Fitzpatrick
- Deparment of Epidemiology, University of Washington, Seattle, WA, USA,Department of Global Health, University of Washington, Seattle, WA, USA
| | - S Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA,Framingham Heart Study, Framingham, MA, USA
| | - T H Mosley
- Division of Geriatrics, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - I J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, Scotland, UK. E-mail:
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45
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Gialluisi A, Newbury DF, Wilcutt EG, Olson RK, DeFries JC, Brandler WM, Pennington BF, Smith SD, Scerri TS, Simpson NH, Luciano M, Evans DM, Bates TC, Stein JF, Talcott JB, Monaco AP, Paracchini S, Francks C, Fisher SE. Genome-wide screening for DNA variants associated with reading and language traits. Genes Brain Behav 2014; 13:686-701. [PMID: 25065397 PMCID: PMC4165772 DOI: 10.1111/gbb.12158] [Citation(s) in RCA: 93] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2014] [Revised: 07/20/2014] [Accepted: 07/24/2014] [Indexed: 01/04/2023]
Abstract
Reading and language abilities are heritable traits that are likely to share some genetic influences with each other. To identify pleiotropic genetic variants affecting these traits, we first performed a genome-wide association scan (GWAS) meta-analysis using three richly characterized datasets comprising individuals with histories of reading or language problems, and their siblings. GWAS was performed in a total of 1862 participants using the first principal component computed from several quantitative measures of reading- and language-related abilities, both before and after adjustment for performance IQ. We identified novel suggestive associations at the SNPs rs59197085 and rs5995177 (uncorrected P ≈ 10–7 for each SNP), located respectively at the CCDC136/FLNC and RBFOX2 genes. Each of these SNPs then showed evidence for effects across multiple reading and language traits in univariate association testing against the individual traits. FLNC encodes a structural protein involved in cytoskeleton remodelling, while RBFOX2 is an important regulator of alternative splicing in neurons. The CCDC136/FLNC locus showed association with a comparable reading/language measure in an independent sample of 6434 participants from the general population, although involving distinct alleles of the associated SNP. Our datasets will form an important part of on-going international efforts to identify genes contributing to reading and language skills.
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Affiliation(s)
- A Gialluisi
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
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46
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Luciano M, Mõttus R, Harris SE, Davies G, Payton A, Ollier WER, Horan MA, Starr JM, Porteous DJ, Pendleton N, Deary IJ. Predicting cognitive ability in ageing cohorts using Type 2 diabetes genetic risk. Diabet Med 2014; 31:714-20. [PMID: 24344862 DOI: 10.1111/dme.12389] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2013] [Revised: 10/29/2013] [Accepted: 12/12/2013] [Indexed: 02/06/2023]
Abstract
AIMS To investigate whether there is overlap in the genetic determinants of Type 2 diabetes and cognitive ageing by testing whether a genetic risk score for Type 2 diabetes can predict variation in cognitive function in older people without dementia. METHODS Type 2 diabetes genetic risk scores were estimated using various single nucleotide polymorphism significance inclusion criteria from an initial genome-wide association study, the largest in Type 2 diabetes to date. Scores were available for 2775-3057 individuals, depending on the cognitive trait. RESULTS Type 2 diabetes genetic risk was associated with self-reported diabetes mellitus. Across varying single nucleotide polymorphism-inclusion levels, a significant association between Type 2 diabetes genetic risk and change in general cognitive function was found (median r = 0.04); however, this was such that higher Type 2 diabetes genetic risk related to higher cognitive scores. CONCLUSIONS To investigate more fully the source of the often observed comorbidity between Type 2 diabetes and cognitive impairment, one direction for future research will be to use cognitive ability polygenic risk scores to predict Type 2 diabetes in line with the reverse causation hypothesis that people with lower pre-morbid cognitive ability are more likely to develop Type 2 diabetes.
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Affiliation(s)
- M Luciano
- Department of Psychology, The University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
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47
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Volpe U, Luciano M, Palumbo C, Sampogna G, Del Vecchio V, Fiorillo A. Risk of burnout among early career mental health professionals. J Psychiatr Ment Health Nurs 2014; 21:774-81. [PMID: 25757038 DOI: 10.1111/jpm.12137] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/29/2013] [Indexed: 11/29/2022]
Abstract
Burnout is a stress-related syndrome that often affects mental health professionals (MHPs) and may have serious consequences on personal well-being as well as on the quality of provided psychiatric care. Established literature shows a high risk to develop burnout among MHPs. Few data are available on the incidence and on the clinical implications of the burnout syndrome in the early phases of MHP professional career. We confirmed the presence of burnout among early career MHPs: early career psychiatrists showed a lower sense of personal accomplishment, while non-medical MHPs tended to have more depersonalization and suffered from higher levels of depression. Specific programmes to identify the presence of the burnout syndrome and to cope with it should be taught within mental health training curricula. Burnout is a stress-related syndrome that often affects professionals working in emotionally loaded and highly interpersonal environments. Mental health professionals (MHPs) are long known to be at high risk to develop the burnout syndrome, but this has rarely been investigated in professionals in an early phase of career. The aim of the present study was to evaluate the presence of the burnout syndrome and of depressive symptoms among early career psychiatrists and 'non-medical' MHPs. One hundred MHPs (including 50 psychiatrists and 50 non-medical MHPs) were screened for the presence of burnout and depression, with the Maslach Burnout Inventory and the Beck Depression Inventory - revised, respectively. The relationships of burnout with socio-demographical and professional characteristics were also explored. We confirmed the presence of burnout among both groups of early career MHPs, but psychiatrists had a significantly higher degree of emotional exhaustion and a lower sense of personal accomplishment, while non-medical MHPs adopted more frequently depersonalization as a coping strategy and had higher scores for depression, which is associated with higher level of burnout. The risk of developing burnout should be properly addressed in training curricula and strategies to overcome it should be systematically taught, in order to promote personal well-being and efficient team work in mental health settings.
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Affiliation(s)
- U Volpe
- Department of Psychiatry, University of Naples SUN, Naples, Italy
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48
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Luciano M, Del Vecchio V, Sampogna G, Obradors-Tarragò C, Fiorillo A, Maj M. EPA-1238 – Setting priorities in mental health research: results from the roamer study. Eur Psychiatry 2014. [DOI: 10.1016/s0924-9338(14)78480-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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49
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Luciano M, Evans DM, Hansell NK, Medland SE, Montgomery GW, Martin NG, Wright MJ, Bates TC. A genome-wide association study for reading and language abilities in two population cohorts. Genes Brain Behav 2013; 12:645-52. [PMID: 23738518 PMCID: PMC3908370 DOI: 10.1111/gbb.12053] [Citation(s) in RCA: 82] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2012] [Revised: 03/04/2013] [Accepted: 05/24/2013] [Indexed: 01/21/2023]
Abstract
Candidate genes have been identified for both reading and language, but most of the heritable variance in these traits remains unexplained. Here, we report a genome-wide association meta-analysis of two large cohorts: population samples of Australian twins and siblings aged 12–25 years (n = 1177 from 538 families), and a younger cohort of children of the UK Avon Longitudinal Study of Parents and their Children (aged 8 and 9 years; maximum n = 5472). Suggestive association was indicated for reading measures and non-word repetition (NWR), with the greatest support found for single nucleotide polymorphisms (SNPs) in the pseudogene, ABCC13 (P = 7.34 × 10−8), and the gene, DAZAP1 (P = 1.32 × 10−6). Gene-based analyses showed significant association (P < 2.8 × 10−6) for reading and spelling with genes CD2L1, CDC2L2 and RCAN3 in two loci on chromosome 1. Some support was found for the same SNPs having effects on both reading skill and NWR, which is compatible with behavior genetic evidence for influences of reading acquisition on phonological-task performance. The results implicate novel candidates for study in additional cohorts for reading and language abilities.
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Affiliation(s)
- M Luciano
- Centre for Cognitive Aging and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK.
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50
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McIntosh AM, Bastin ME, Luciano M, Maniega SM, Del C Valdés Hernández M, Royle NA, Hall J, Murray C, Lawrie SM, Starr JM, Wardlaw JM, Deary IJ. Neuroticism, depressive symptoms and white-matter integrity in the Lothian Birth Cohort 1936. Psychol Med 2013; 43:1197-1206. [PMID: 22785087 DOI: 10.1017/s003329171200150x] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Clinical depression is associated with reductions in white-matter integrity in several long tracts of the brain. The extent to which these findings are localized or related to depressive symptoms or personality traits linked to disease risk remains unclear. Method Members of the Lothian Birth Cohort 1936 (LBC936) were assessed in two waves at mean ages of 70 and 73 years. At wave 1, they underwent assessments of depressive symptoms and the personality traits of neuroticism and extraversion. Brain diffusion magnetic resonance imaging (MRI) data were obtained at the second wave and mood assessments were repeated. We tested whether depressive symptoms were related to reduced white-matter tract fractional anisotropy (FA), a measure of integrity, and then examined whether high neuroticism or low extraversion mediated this relationship. RESULTS Six hundred and sixty-eight participants provided useable data. Bilateral uncinate fasciculus FA was significantly negatively associated with depressive symptoms at both waves (standardized β=0.12-0.16). Higher neuroticism and lower extraversion were also significantly associated with lower uncinate FA bilaterally (standardized β=0.09-0.15) and significantly mediated the relationship between FA and depressive symptoms. CONCLUSIONS Trait liability to depression and depressive symptoms are associated with reduced structural connectivity in tracts connecting the prefrontal cortex with the amygdala and anterior temporal cortex. These effects suggest that frontotemporal disconnection is linked to the etiology of depression, in part through personality trait differences.
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Affiliation(s)
- A M McIntosh
- Division of Psychiatry, University of Edinburgh, UK.
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