'Effectiveness of a remote nutritional intervention to increase the adherence to the Mediterranean diet among recovered depression patients'.

BACKGROUND: There is substantial evidence supporting that remote interventions are useful to change dietary habits. However, the effect of a remote intervention based on Mediterranean diet (MD) in depressive patients has been less explored. OBJECTIVE: This study aims to assess the effectiveness of a remotely provided Mediterranean diet-based nutritional intervention in the context of a secondary prevention trial of depression. METHODS: The PREDIDEP study was a 2-year multicenter, randomized, single-blinded trial designed to assess the effect of the MD enriched with extra virgin olive oil (EVOO) on the prevention of depression recurrence. The intervention group received usual care for depressed patients and remote nutritional intervention every three months which included phone contacts and web-based interventions; and the control group, usual care. At baseline and at 1-year and 2-year follow-up, the 14-item MD Adherence Screener (MEDAS) questionnaire and a semiquantitative food frequency questionnaire (FFQ) were collected by a dietitian. Mixed effects linear models were used to assess changes in nutritional variables according to the group of intervention. The trial was registered at ClinicalTrials.gov NCT03081065. RESULTS: Compared with control group, the MD intervention group showed more adherence to MD (between-group difference: 2.76; 95% CI 2.13-3.39; p < 0.001); and a healthier diet pattern with a significant increase in the consumption of olive oil (p < 0.001), and a significant reduction in refined cereals (p = 0.031) after 2 years of intervention. CONCLUSIONS: The remote nutritional intervention increases adherence to the MD among recovered depression patients.Trial registration: ClinicalTrials.gov identifier: NCT03081065.

Eating Disorder Awareness Campaigns: Thematic and Quantitative Analysis Using Twitter.

BACKGROUND: Health awareness initiatives are frequent but their efficacy is a matter of controversy. We have investigated the effect of the Eating Disorder Awareness Week and Wake Up Weight Watchers campaigns on Twitter. OBJECTIVE: We aimed to examine whether the Eating Disorder Awareness Week and Wake Up Weight Watchers initiatives increased the volume and dissemination of Twitter conversations related to eating disorders and investigate what content generates the most interest on Twitter. METHODS: Over a period of 12 consecutive days in 2018, we collected tweets containing the hashtag #wakeupweightwatchers and hashtags related to Eating Disorder Awareness Week (#eatingdisorderawarenessweek, #eatingdisorderawareness, or #EDAW), with the hashtag #eatingdisorder as a control. The content of each tweet was rated as medical, testimony, help offer, awareness, pro-ana, or anti-ana. We analyzed the number of retweets and favorites generated, as well as the potential reach and impact of the hashtags and the characteristics of contributors. RESULTS: The number of #wakeupweightwatchers tweets was higher than that of Eating Disorder Awareness Week and #eatingdisorder tweets (3900, 2056, and 1057, respectively). The content of tweets was significantly different between the hashtags analyzed (P<.001). Medical content was lower in the awareness campaigns. Awareness and help offer content were lower in #wakeupweightwatchers tweets. Retweet and favorite ratios were highest in #wakeupweightwatchers tweets. Eating Disorder Awareness Week achieved the highest impact, and very influential contributors participated. CONCLUSIONS: Both awareness campaigns effectively promoted tweeting about eating disorders. The majority of tweets did not promote any specific preventive or help-seeking behaviors.

Increasing Interest of Mass Communication Media and the General Public in the Distribution of Tweets About Mental Disorders: Observational Study.

BACKGROUND: The contents of traditional communication media and new internet social media reflect the interests of society. However, certain barriers and a lack of attention towards mental disorders have been previously observed. OBJECTIVE: The objective of this study is to measure the relevance of influential American mainstream media outlets for the distribution of psychiatric information and the interest generated in these topics among their Twitter followers. METHODS: We investigated tweets generated about mental health conditions and diseases among 15 mainstream general communication media outlets in the United States of America between January 2007 and December 2016. Our study strategy focused on identifying several psychiatric terms of primary interest. The number of retweets generated from the selected tweets was also investigated. As a control, we examined tweets generated about the main causes of death in the United States of America, the main chronic neurological degenerative diseases, and HIV. RESULTS: In total, 13,119 tweets about mental health disorders sent by the American mainstream media outlets were analyzed. The results showed a heterogeneous distribution but preferential accumulation for a select number of conditions. Suicide and gender dysphoria accounted for half of the number of tweets sent. Variability in the number of tweets related to each control disease was also found (5998). The number of tweets sent regarding each different psychiatric or organic disease analyzed was significantly correlated with the number of retweets generated by followers (1,030,974 and 424,813 responses to mental health disorders and organic diseases, respectively). However, the probability of a tweet being retweeted differed significantly among the conditions and diseases analyzed. Furthermore, the retweeted to tweet ratio was significantly higher for psychiatric diseases than for the control diseases (odds ratio 1.11, CI 1.07-1.14; P<.001). CONCLUSIONS: American mainstream media outlets and the general public demonstrate a preferential interest for psychiatric diseases on Twitter. The heterogeneous weights given by the media outlets analyzed to the different mental health disorders and conditions are reflected in the responses of Twitter followers.

Catechol-O-Methyltransferase Val158Met Polymorphism and Clinical Response to Antipsychotic Treatment in Schizophrenia and Schizo-Affective Disorder Patients: a Meta-Analysis.

BACKGROUND: The catechol-O-methyltransferase (COMT) enzyme plays a crucial role in dopamine degradation, and the COMT Val158Met polymorphism (rs4680) is associated with significant differences in enzymatic activity and consequently dopamine concentrations in the prefrontal cortex. Multiple studies have analyzed the COMT Val158Met variant in relation to antipsychotic response. Here, we conducted a meta-analysis examining the relationship between COMT Val158Met and antipsychotic response. METHODS: Searches using PubMed, Web of Science, and PsycInfo databases (03/01/2015) yielded 23 studies investigating COMT Val158Met variation and antipsychotic response in schizophrenia and schizo-affective disorder. Responders/nonresponders were defined using each study's original criteria. If no binary response definition was used, authors were asked to define response according to at least 30% Positive and Negative Syndrome Scale score reduction (or equivalent in other scales). Analysis was conducted under a fixed-effects model. RESULTS: Ten studies met inclusion criteria for the meta-analysis. Five additional antipsychotic-treated samples were analyzed for Val158Met and response and included in the meta-analysis (ntotal=1416). Met/Met individuals were significantly more likely to respond than Val-carriers (P=.039, ORMet/Met=1.37, 95% CI: 1.02-1.85). Met/Met patients also experienced significantly greater improvement in positive symptoms relative to Val-carriers (P=.030, SMD=0.24, 95% CI: 0.024-0.46). Posthoc analyses on patients treated with atypical antipsychotics (n=1207) showed that Met/Met patients were significantly more likely to respond relative to Val-carriers (P=.0098, ORMet/Met=1.54, 95% CI: 1.11-2.14), while no difference was observed for typical-antipsychotic-treated patients (n=155) (P=.65). CONCLUSIONS: Our findings suggest that the COMT Val158Met polymorphism is associated with response to antipsychotics in schizophrenia and schizo-affective disorder patients. This effect may be more pronounced for atypical antipsychotics.

Time discrimination and change detection could share a common brain network: findings of a task-based fMRI study.

Introduction: Over the past few years, several studies have described the brain activation pattern related to both time discrimination (TD) and change detection processes. We hypothesize that both processes share a common brain network which may play a significant role in more complex cognitive processes. The main goal of this proof-of-concept study is to describe the pattern of brain activity involved in TD and oddball detection (OD) paradigms, and in processes requiring higher cognitive effort. Methods: We designed an experimental task, including an auditory test tool to assess TD and OD paradigms, which was conducted under functional magnetic resonance imaging (fMRI) in 14 healthy participants. We added a cognitive control component into both paradigms in our test tool. We used the general linear model (GLM) to analyze the individual fMRI data images and the random effects model for group inference. Results: We defined the areas of brain activation related to TD and OD paradigms. We performed a conjunction analysis of contrast TD (task > control) and OD (task > control) patterns, finding both similarities and significant differences between them. Discussion: We conclude that change detection and other cognitive processes requiring an increase in cognitive effort require participation of overlapping functional and neuroanatomical components, suggesting the presence of a common time and change detection network. This is of particular relevance for future research on normal cognitive functioning in the healthy population, as well as for the study of cognitive impairment and clinical manifestations associated with various neuropsychiatric conditions such as schizophrenia.

Schizophrenia and Hospital Admissions for Cardiovascular Events in a Large Population: The APNA Study.

(1) Background: Patients with schizophrenia have higher mortality, with cardiovascular diseases being the first cause of mortality. This study aims to estimate the excess risk of hospital admission for cardiovascular events in schizophrenic patients, adjusting for comorbidity and risk factors. (2) Methods: The APNA study is a dynamic prospective cohort of all residents in Navarra, Spain. A total of 505,889 people over 18 years old were followed for five years. The endpoint was hospital admissions for a cardiovascular event. Direct Acyclic Graphs (DAG) and Cox regression were used. (3) Results: Schizophrenic patients had a Hazard Ratio (HR) of 1.414 (95% CI 1.031-1.938) of hospital admission for a cardiovascular event after adjusting for age, sex, hypertension, type 2 diabetes, dyslipidemia, smoking, low income, obesity, antecedents of cardiovascular disease, and smoking. In non-adherent to antipsychotic treatment schizophrenia patients, the HR was 2.232 (95% CI 1.267-3.933). (4) Conclusions: Patients with schizophrenia have a higher risk of hospital admission for cardiovascular events than persons with the same risk factors without schizophrenia. Primary care nursing interventions should monitor these patients and reduce cardiovascular risk factors.

Structural brain abnormalities in first-episode psychosis: differences between affective psychoses and schizophrenia and relationship to clinical outcome.

OBJECTIVES: Several studies have described volumetric brain abnormalities in first-episode psychosis. The extent to which these differ in patients with schizophrenia and affective psychoses, or are related to subsequent clinical outcome, is unclear. We examined volumetric magnetic resonance imaging (MRI) abnormalities in young patients with a first episode of psychosis, and compared these volumetric abnormalities in patients with schizophrenia versus affective psychosis. We then assessed whether baseline MRI abnormalities in the entire sample predicted subsequent clinical outcome. METHODS: A total of 28 adolescent patients with first-episode psychosis and 20 age-matched healthy volunteers were scanned using a 1.5 T scanner. MRI data were processed and analysed using voxel-based morphometry (VBM). We assessed clinical outcome three years after the initial scan. RESULTS: Patients had smaller grey matter (GM) volumes than controls in frontal, insular, parietal, and cerebellar cortex. Patients with an affective psychosis had greater GM volume in the right posterior cingulate than both controls and patients with schizophrenia, but less GM volume in the left cerebellum and insula. In the sample as a whole, smaller right hippocampus GM volume was associated with poor clinical outcome at three-year follow-up. CONCLUSIONS: Volumetric brain abnormalities are evident in young adults presenting with a first episode of both affective psychoses and schizophrenia, but there are also significant differences between these two patient groups. Clinical outcome after the first episode may be related to the severity of volumetric abnormalities at presentation.

Longitudinal changes in brain structure following the first episode of psychosis.

Both schizophrenia and bipolar disorder have been associated with progressive changes in grey matter (GM) volume. However, the temporal trajectories of these changes are poorly understood. The aim of this study was to assess longitudinal changes in grey matter volume subsequent to the first episode of schizophrenia and of affective psychoses. Adolescent patients with a first episode psychosis (n=26) were scanned twice using magnetic resonance imaging, at first presentation and after a 3-year follow-up period. An age-matched group of healthy volunteers (n=17) was scanned at the same time points. Within-group and between-group changes in regional grey matter volume were examined using voxel-based morphometry. There were significant group by time interactions (p(FDRcorr)<0.05) in the frontal, temporal, parietal, cerebellar cortex, and in the thalamus, mainly reflecting longitudinal reductions in the controls but not in the patients. Subdivision of the patient group revealed that there were similar longitudinal reductions in patients with affective psychoses as in the controls but no volumetric changes in patients with schizophrenia. Psychosis with onset in adolescence or early adulthood may be associated with a delay or a loss of longitudinal reductions in regional grey matter volume that normally occur at this stage of development. These changes may be specific to schizophrenia.

An fMRI Study Using a Combined Task of Interval Discrimination and Oddball Could Reveal Common Brain Circuits of Cognitive Change.

Recent functional neuroimaging studies suggest that the brain networks responsible for time processing are involved during other cognitive processes, leading to a hypothesis that time-related processing is needed to perform a range of tasks across various cognitive functions. To examine this hypothesis, we analyze whether, in healthy subjects, the brain structures activated or deactivated during performance of timing and oddball-detection type tasks coincide. To this end, we conducted two independent signed differential mapping (SDM) meta-analyses of functional magnetic resonance imaging (fMRI) studies assessing the cerebral generators of the responses elicited by tasks based on timing and oddball-detection paradigms. Finally, we undertook a multimodal meta-analysis to detect brain regions common to the findings of the two previous meta-analyses. We found that healthy subjects showed significant activation in cortical areas related to timing and salience networks. The patterns of activation and deactivation corresponding to each task type partially coincided. We hypothesize that there exists a time and change-detection network that serves as a common underlying resource used in a broad range of cognitive processes.

Being Born in Winter-Spring and at Around the Time of an Influenza Pandemic Are Risk Factors for the Development of Schizophrenia: The Apna Study in Navarre, Spain.

BACKGROUND: We analyzed the relationship between the prevalence of schizophrenia and the season of birth and gestation during a period of an influenza pandemic. METHODS: Cross-sectional analysis of a prospective population-based cohort of 470,942 adults. We fitted multivariant logistic regression models to determine whether the season of birth and birth in an influenza-pandemic year (1957, 1968, 1977) was associated with schizophrenia. RESULTS: 2077 subjects had been diagnosed with schizophrenia. Logistic regression identified a significantly greater prevalence of schizophrenia in men than in women (OR = 1.516, CI 95% = 1.388-1.665); in those born in the winter or spring than in those born in the summer or autumn (OR = 1.112, CI 95% = 1.020-1.212); and in those born in a period of an influenza pandemic (OR = 1.335, CI 95% = 1.199-1.486). The increase in risk was also significant when each influenza pandemic year was analyzed separately. However, neither month of birth nor season of birth, when each of the four were studied individually, were associated with a statistically significant increase in that risk. CONCLUSIONS: The winter-spring period and the influenza pandemics are independent risk factors for developing schizophrenia. This study contradicts many previous studies and thus revitalizes a locked debate in understanding the neurodevelopmental hypothesis of this disorder.

Assessment of the increase in variability when combining volumetric data from different scanners.

In multicenter MRI studies, pooling of volumetric data requires a prior evaluation of compatibility between the different machines used. We tested the compatibility of five different scanners (2 General Electric Signa, 2 Siemens Symphony, and a Philips Gyroscan) at five different sites by repeating the scans of five volunteers at each of the sites. Using a semiautomatic method based on the Talairach atlas, and SPM algorithms for tissue segmentation (multimodal T1 and T2, or T1-only), we obtained volume measurements of the main brain lobes (frontal, parietal, occipital, temporal) and for each tissue type. Our results suggest that pooling of multisite data adds small error for whole brain measurements, intersite coefficient of variation (CV) ranging from 1.8 to 5.2%, respectively, for GM and CSF. However, in the occipital lobe, intersite CV can be as high as 11.7% for WM and 17.3% for CSF. Compared with the intersite, intrasite CV values were always much lower. Whenever possible, T1 and T2 tissue segmentation methods should be used because they yield more consistent volume measurements between sites than T1-only, especially when some of the scans were obtained with different sequence parameters and pixel size from those of the other sites. Our study shows that highest compatibility among scanners would be obtained using equipments of the same manufacturer and also image acquisition parameters as similar as possible. After validation, data from a specific ROI or scanner showing values markedly different from the other sites might be excluded from the analysis.

Obstetric complications as a risk factor for first psychotic episodes in childhood and adolescence.

There are reports of significant association between obstetric complications (OC) and childhood psychosis. Authors conducted a case-control study of 102 children and adolescents with a first episode psychosis (FEP) and 94 healthy controls (HC), using the obstetric complications scale (OCS) and their medical records, to examine the risk of FPE. Patients were recruited from child and adolescent psychiatry units at six university hospitals and controls from publicly-funded schools of similar characteristics and from the same geographic areas. A logistic regression was performed to quantify the risk of psychosis in childhood and adolescence, based on OC, adjusting for potential confounding factors like socio economic status (SES) and family psychiatric history (FPH). OC appeared more frequently in the records of patients. Significant differences between patients and controls were found in Prenatal OC (15.7% vs. 5.3%, P < 0.05) and among them, bleeding in pregnancy showed the greatest difference between groups (12.7% vs. 2.1%, P < 0.01). In the logistic regression, bleeding in pregnancy showed a crude odds ratio (OR) of 6.7 (95%CI = 1.4-30.6) and 5.1 (CI 95% = 1.0-24.9) adjusted for SES and FPH. Therefore, bleeding in pregnancy is a likely risk factor for early-onset psychosis.

Is there a cortical blood flow redistribution pattern related with perseverative error in schizophrenia?

BACKGROUND: We studied relative cortical blood flow (relCBF) patterns associated to correct performance (CP) and perseverative error (PE) during Wisconsin Card Sorting Test (WCST) execution, in controls and patients with schizophrenia. SUBJECTS AND METHODS: relCBF (regional cortical blood flow (rCBF) / whole cortex blood flow) of 10 well defined cortical regions was measured in 18 patients with schizophrenia and 13 healthy controls by a Technetium - 99 - HMPAO - SPECT, at rest and while they performed WCST. RESULTS: Patients made significantly more PE than controls during WCST performance. In patients, we found a significant correlation between PE and relCBF in right occipital cortex. In controls, we found a significant correlation between CP and relCBF of several cortical regions during WCST execution: left orbitofrontal cortex and left global frontal cortex positively and parietal bilateral cortex negatively. PE was inversely correlated with relCBF in left temporal cortex. CONCLUSIONS: Successful WCST performance is associated to a high left frontal activity in controls but not in patients. The severity of PE during WCST performance is associated to a low left frontal-temporal activity in controls and to a high right parietal-occipital activity in schizophrenia. This may represent a cortical activity redistribution pattern related to perseveration in schizophrenia.

Temperament traits and remission of depression: A naturalistic six-month longitudinal study.

BACKGROUND: The aim of this naturalistic longitudinal study was to add evidence regarding the potential of Cloninger's temperament traits (novelty seeking, harm avoidance, reward dependence and persistence) for predicting the effect of pharmacological treatment on the rates of therapeutic response and remission. METHODS: The study was based on 200 outpatients with unipolar depressive disorders of different severity and course of illness, and extended up to 6 months of follow-up. Patients were assessed in their temperament with the Tridimensional Personality Questionnaire (TPQ) and their condition was classified (in course and severity) according to the International Classification of Diseases, Tenth revision (ICD-10) diagnostic criteria for research. Patients were blindly rated (concerning other predicting variables) on the improved Clinical Global Impression-Severity scale for depression (iCGI-S) at baseline, 6 weeks, 3 months and 6 months. Outcome measures at the last observation carried forward were therapeutic response (reduction of ≥50% in the last iCGI-S) and remission (last iCGI-S = 0), which were available for 187 patients. RESULTS: Remission was independently and directly associated with length of follow-up, and inversely with the baseline iCGI-S score and harm avoidance (patients in the high tertile had a 2.7 likelihood of non-remission in comparison with those in the low tertile); persistence was found to have a complex, V-shape relationship with remission. Within a sub-sample of more severe cases (n = 118), having higher harm avoidance scores, a more favorable outcome was associated with higher reward dependence and the non-smoking condition. LIMITATIONS: With a naturalistic, non-experimental design, the sample may not be representative of the general population. CONCLUSIONS: Temperament traits may help predict outcome in patients treated for depression.

Validity of a self-reported diagnosis of depression among participants in a cohort study using the Structured Clinical Interview for DSM-IV (SCID-I).

BACKGROUND: Depression assessment in population studies is usually based on depressive symptoms scales. However, the use of scales could lead to the choice of an arbitrary cut-off point depending on the sample characteristics and on the patient diagnosis. Thus, the use of a medical diagnosis of depression could be a more appropriate approach. OBJECTIVE: To validate a self-reported physician diagnosis of depression using the Structured Clinical Interview for DSM-IV (SCID-I) as Gold Standard and to assess the factors associated to a valid self-reported diagnosis. METHODS: The SUN Project is a cohort study based on university graduates followed-up through postal questionnaires. The response to the question included in the questionnaire: Have you ever been diagnosed of depression by a physician? was compared to that obtained through the SCID-I applied by a psychiatrist or a clinical psychologist. The percentages of confirmed depression and non-depression were assessed for the overall sample and according to several characteristics. Logistic regression models were fitted to ascertain the association between different factors and a correct classification regarding depression status. RESULTS: The percentage of confirmed depression was 74.2%; 95% confidence interval (95% CI) = 63.3-85.1. Out of 42 participants who did not report a depression diagnosis in the questionnaire, 34 were free of the disease (%confirmed non-depression = 81.1%; 95% CI = 69.1-92.9). The probability of being a true positive was higher among ex-smokers and non-smokers and among those overweight or obese but the differences were not statistically significant. CONCLUSION: The validity of a self-reported diagnosis of depression in the SUN cohort is adequate. Thus, this question about depression diagnosis could be used in further investigations regarding this disease in this graduate cohort study.

Aberrant timing and oddball detection in Schizophrenia: findings from a signed differential mapping meta-analysis.

Schizophrenia (SZ) is associated with deficits in both temporal and salience processing. The underlying neurological dysfunctions in both processes, which are interrelated and share neuroanatomical bases, remain poorly understood. The principal objective of this study was to elucidate whether there are any brain regions that show abnormal response during timing and oddball tasks in patients with SZ. To this end, we conducted a signed differential mapping (SDM) meta-analysis of functional magnetic resonance imaging (fMRI) studies assessing abnormal responses elicited by tasks based on the oddball paradigm in patients with SZ. We conducted a similar SDM meta-analysis of neuroimaging studies of timing tasks in SZ. Finally, we undertook a multimodal meta-analysis to detect the common findings of the two previous meta-analyses. We found that SZ patients showed hypoactivation in cortical and subcortical areas related to timing. The dysfunction observed during timing tasks partially coincided with deficiencies in change-detection functions (particularly in the case of preattentional processing in the mismatch negativity response). We hypothesize that a dysfunctional timing/change detection network underlies the cognitive impairment observed in SZ.

Meta-analysis of functional magnetic resonance imaging studies of timing and cognitive control in schizophrenia and bipolar disorder: Evidence of a primary time deficit.

Schizophrenia (SZ) and Bipolar Disorder (BD) are associated with deficits in both timing and cognitive control functions. However, the underlying neurological dysfunctions remain poorly understood. The main goal of this study was to identify brain structures activated both by increases in cognitive activity and during timing tasks in patients with SZ and BD relative to controls. We conducted two signed differential mapping (SDM) meta-analyses of functional magnetic resonance imaging studies assessing the brain response to increasing levels of cognitive difficulty: one concerned SZ, and the other BD patients. We conducted a similar SDM meta-analysis on neuroimaging of timing in SZ (no studies in BD could be included). Finally, we carried out a multimodal meta-analysis to identify common brain regions in the findings of the two previous meta-analyses. We found that SZ patients showed hypoactivation in timing-related cortical-subcortical areas. The dysfunction observed during timing partially coincided with deficits for cognitive control functions. We hypothesize that a dysfunctional temporal/cognitive control network underlies the persistent cognitive impairment observed in SZ.

Atypical antipsychotics normalize low-gamma evoked oscillations in patients with schizophrenia.

The symptoms of schizophrenia might be mediated by a cortical network disconnection which may disrupt the cortical oscillatory activity. Steady-state responses are an easy and consistent way to explore cortical oscillatory activity. A chirp-modulated tone (increasing the frequency of the modulation in a linear manner) allows a fast measure of the steady-state response to different modulation rates. With this approach, we studied the auditory steady-state responses in two groups of patients with schizophrenia (drug-naive and treated with atypical antipsychotic drugs), in order to assess the differences in their responses with respect to healthy subjects, and study any potential effect of medication. Drug-naive patients had reduced amplitude and inter-trial phase coherence of the response in the 30-50Hz range, and reduced amplitude of the response in the 90-100Hz range, when compared to controls. In the treated patients group, the response in the 30-50Hz range was normalized to values similar to the control group, but the reduction in amplitude in the 90-100Hz range remained as in the drug-naive group. These results suggest that gamma activity impairment in schizophrenia is a complex phenomenon that affects a wide band of frequencies and may be influenced by antipsychotic treatment.

Geniuses of medical science: Friendly, open and responsible, not mad.

Recent studies based on biography analysis provide support for the notion that the prevalence of mental illness in the creative geniuses of art, literature and science is higher than it is in more ordinary folk. However, this relationship between madness and genius, which was also addressed by the classical philosophers, has been generalized to all branches of professional endeavour. Whilst it may hold true for illustrious personalities of the fine arts, we found that the relationship proves inappropriate to the biographies of ten individuals renowned in history for their innovative contributions to medical science. Furthermore, examination of these ten biographies invites the hypothesis that certain personality traits - especially, agreeableness, conscientiousness and openness to new experience - can act to enhance creativity and protect against mental illness.

Meta-Analysis of Functional Neuroimaging and Cognitive Control Studies in Schizophrenia: Preliminary Elucidation of a Core Dysfunctional Timing Network.

Timing and other cognitive processes demanding cognitive control become interlinked when there is an increase in the level of difficulty or effort required. Both functions are interrelated and share neuroanatomical bases. A previous meta-analysis of neuroimaging studies found that people with schizophrenia had significantly lower activation, relative to normal controls, of most right hemisphere regions of the time circuit. This finding suggests that a pattern of disconnectivity of this circuit, particularly in the supplementary motor area, is a trait of this mental disease. We hypothesize that a dysfunctional temporal/cognitive control network underlies both cognitive and psychiatric symptoms of schizophrenia and that timing dysfunction is at the root of the cognitive deficits observed. The goal of our study was to look, in schizophrenia patients, for brain structures activated both by execution of cognitive tasks requiring increased effort and by performance of time perception tasks. We conducted a signed differential mapping (SDM) meta-analysis of functional neuroimaging studies in schizophrenia patients assessing the brain response to increasing levels of cognitive difficulty. Then, we performed a multimodal meta-analysis to identify common brain regions in the findings of that SDM meta-analysis and our previously-published activation likelihood estimate (ALE) meta-analysis of neuroimaging of time perception in schizophrenia patients. The current study supports the hypothesis that there exists an overlap between neural structures engaged by both timing tasks and non-temporal cognitive tasks of escalating difficulty in schizophrenia. The implication is that a deficit in timing can be considered as a trait marker of the schizophrenia cognitive profile.