Demographic, clinical, and service-use characteristics related to the clinician's recommendation to transition from child to adult mental health services.

PURPOSE: The service configuration with distinct child and adolescent mental health services (CAMHS) and adult mental health services (AMHS) may be a barrier to continuity of care. Because of a lack of transition policy, CAMHS clinicians have to decide whether and when a young person should transition to AMHS. This study describes which characteristics are associated with the clinicians' advice to continue treatment at AMHS. METHODS: Demographic, family, clinical, treatment, and service-use characteristics of the MILESTONE cohort of 763 young people from 39 CAMHS in Europe were assessed using multi-informant and standardized assessment tools. Logistic mixed models were fitted to assess the relationship between these characteristics and clinicians' transition recommendations. RESULTS: Young people with higher clinician-rated severity of psychopathology scores, with self- and parent-reported need for ongoing treatment, with lower everyday functional skills and without self-reported psychotic experiences were more likely to be recommended to continue treatment. Among those who had been recommended to continue treatment, young people who used psychotropic medication, who had been in CAMHS for more than a year, and for whom appropriate AMHS were available were more likely to be recommended to continue treatment at AMHS. Young people whose parents indicated a need for ongoing treatment were more likely to be recommended to stay in CAMHS. CONCLUSION: Although the decision regarding continuity of treatment was mostly determined by a small set of clinical characteristics, the recommendation to continue treatment at AMHS was mostly affected by service-use related characteristics, such as the availability of appropriate services.

The neural correlates of the visual consciousness in schizophrenia: an fMRI study.

In the current literature, two distinct and opposite models are suggested to explain the consciousness disorders in schizophrenia. The first one suggests that consciousness disorders rely on a low-level processing deficit, when the second model suggests that consciousness disorders rely on disruption in the ability to consciously access information, with preserved unconscious processing. The current study aims to understand the mechanisms associated with visual consciousness disorder in order to pave the road that will settle the debate regarding these hypotheses. During a functional magnetic resonance imaging session, 19 healthy participants (HC) and 15 patients with schizophrenia (SCZ) performed a visual detection task to compare the neural substrates associated with the conscious access to the visual inputs. The visual detection threshold was significantly higher in SCZ than in HC [t(32) = 3.37, p = 0.002]. Whole-brain ANOVA demonstrated that around the visual detection threshold patients with SCZ failed to activate a large network of brain areas compared to HC. (1) During conscious vision, HC engaged more the left cuneus and the right occipital cortex than patients with SCZ, (2) during unconscious vision, HC engaged a large network that patients with SCZ failed to activate, and finally, (3) during the access to consciousness process, patients with SCZ failed to activate the anterior cingulate cortex. These results suggest that the consciousness disorders in schizophrenia rely on specific dysfunctions depending on the consciousness stage. The disorders of the conscious vision are associated with dysfunction of occipital areas while the ones associated with unconscious vision rely on a large widespread network. Finally, the conscious access to the visual inputs is impaired by a dysfunction of the anterior cingulate cortex. The current study suggests that none of the two suggested models can explain consciousness disorders in schizophrenia. We suggest that there is an alternative model supporting that the conscious access to visual inputs is due to a disengagement of the supragenual anterior cingulate during the unconscious processing of the visual inputs associated with a sensory deficit.

[Psychopathological consequences of confinement]. / Conséquences psychopathologiques du confinement.

The psychological effects of isolation have already been described in the literature (polar expeditions, submarines, prison). Nevertheless, the scale of confinement implemented during the COVID-19 pandemic is unprecedented. In addition to reviewing the published studies, we need to anticipate the psychological problems that could arise during or at a distance from confinement. We have gone beyond the COVID-19 literature in order to examine the implications of the known consequences of confinement, like boredom, social isolation, stress, or sleep deprivation. Anxiety, post-traumatic stress disorder, depression, suicidal or addictive behaviours, domestic violence are described effects of confinement, but the mechanisms of emergence of these disorders and their interrelationships remain to be studied. For example, what are the mechanisms of emergence of post-traumatic stress disorders in the context of confinement? We also remind the reader of points of vigilance to be kept in mind with regard to eating disorders and hallucinations. Hallucinations are curiously ignored in the literature on confinement, whereas a vast literature links social isolation and hallucinations. Due to the broad psychopathological consequences, we have to look for these various symptoms to manage them. We quickly summarize the diagnostic and therapeutic approaches already in place, such as telemedicine, which is undergoing rapid development during the COVID-19 crisis.

Mental health status of individuals with sexual development disorders: A review.

Healthcare recommendations for people with disorders of sexual development (DSDs) include mental health attention and active participation of psychiatrists and psychologists in dedicated multidisciplinary teams. Therefore, it seems crucial for them to improve knowledge about specific difficulties and needs of these patients. The aim of this article is to report in a synthesizing manner the recent works evaluating the mental health and psychological status of individuals with DSDs. After research conducted using PubMed and ScienceDirect, 18 studies were inventoried and qualitatively analyzed in response to three main questions: Do individuals with DSDs suffer more frequently and/or more severely from psychological conditions or mental disorders? From what kind of disorder do they suffer? and What are the determinant factors involved in their development? This work highlights an increased risk of affective disorders in individuals with DSDs, particularly anxiety and depressive disorders and interpersonal difficulties. Studies identified some potentially determining factors implicated in their development, among which are the etiology of DSDs, the life stage, the age at the time of diagnosis, and the lack of conformity of sexual phenotype with sex assignment. Taken together, the etiology of DSDs, the lack of conformity of sexual phenotype with sex assignment, and the feeling of being different from peers seem to be interesting factors to study in the future. Multicentric and longitudinal studies using standardized evaluation and control groups should be the most robust way to improve knowledge about these preoccupations.

EEG neurofeedback research: A fertile ground for psychiatry?

The clinical efficacy of neurofeedback is still a matter of debate. This paper analyzes the factors that should be taken into account in a transdisciplinary approach to evaluate the use of EEG NFB as a therapeutic tool in psychiatry. Neurofeedback is a neurocognitive therapy based on human-computer interaction that enables subjects to train voluntarily and modify functional biomarkers that are related to a defined mental disorder. We investigate three kinds of factors related to this definition of neurofeedback. We focus this article on EEG NFB. The first part of the paper investigates neurophysiological factors underlying the brain mechanisms driving NFB training and learning to modify a functional biomarker voluntarily. Two kinds of neuroplasticity involved in neurofeedback are analyzed: Hebbian neuroplasticity, i.e. long-term modification of neural membrane excitability and/or synaptic potentiation, and homeostatic neuroplasticity, i.e. homeostasis attempts to stabilize network activity. The second part investigates psychophysiological factors related to the targeted biomarker. It is demonstrated that neurofeedback involves clearly defining which kind of relationship between EEG biomarkers and clinical dimensions (symptoms or cognitive processes) is to be targeted. A nomenclature of accurate EEG biomarkers is proposed in the form of a short EEG encyclopedia (EEGcopia). The third part investigates human-computer interaction factors for optimizing NFB training and learning during the closed loop interaction. A model is proposed to summarize the different features that should be controlled to optimize learning. The need for accurate and reliable metrics of training and learning in line with human-computer interaction is also emphasized, including targeted biomarkers and neuroplasticity. All these factors related to neurofeedback show that it can be considered as a fertile ground for innovative research in psychiatry.

Identifying a neuroanatomical signature of schizophrenia, reproducible across sites and stages, using machine learning with structured sparsity.

OBJECTIVE: Structural MRI (sMRI) increasingly offers insight into abnormalities inherent to schizophrenia. Previous machine learning applications suggest that individual classification is feasible and reliable and, however, is focused on the predictive performance of the clinical status in cross-sectional designs, which has limited biological perspectives. Moreover, most studies depend on relatively small cohorts or single recruiting site. Finally, no study controlled for disease stage or medication's effect. These elements cast doubt on previous findings' reproducibility. METHOD: We propose a machine learning algorithm that provides an interpretable brain signature. Using large datasets collected from 4 sites (276 schizophrenia patients, 330 controls), we assessed cross-site prediction reproducibility and associated predictive signature. For the first time, we evaluated the predictive signature regarding medication and illness duration using an independent dataset of first-episode patients. RESULTS: Machine learning classifiers based on neuroanatomical features yield significant intersite prediction accuracies (72%) together with an excellent predictive signature stability. This signature provides a neural score significantly correlated with symptom severity and the extent of cognitive impairments. Moreover, this signature demonstrates its efficiency on first-episode psychosis patients (73% accuracy). CONCLUSION: These results highlight the existence of a common neuroanatomical signature for schizophrenia, shared by a majority of patients even from an early stage of the disorder.

Auditory hallucinations, not necessarily a hallmark of psychotic disorder.

Auditory hallucinations (AH) are often considered a sign of a psychotic disorder. This is promoted by the DSM-5 category of Other Specified Schizophrenia Spectrum And Other Psychotic Disorder (OSSSOPD), the diagnostic criteria for which are fulfilled with the sole presence of persistent AH, in the absence of any other psychotic symptoms. And yet, persistent AH are not synonymous with having a psychotic disorder, and should therefore not be uncritically treated as such. Many people who seek treatment for persistent AH have no other psychotic symptoms, have preserved reality-testing capacities, and will never develop a schizophrenia spectrum disorder. Instead, hallucinations may be the result of many different causes, including borderline personality disorder, post-traumatic stress disorder (PTSD), hearing loss, sleep disorders or brain lesions, and they may even occur outside the context of any demonstrable pathology. In such cases, the usage of the DSM-5 diagnosis of OSSSOPD would be incorrect, and it may prompt unwarranted treatment with antipsychotic medication. We therefore argue that a DSM-5 diagnosis of Schizophrenia Spectrum Disorder (or any other type of psychotic disorder) characterized by AH should require at least one more symptom listed under the A-criterion (i.e. delusions, disorganized speech, disorganized or catatonic behavior or negative symptoms). Adhering to these more stringent criteria may help to distinguish between individuals with persistent AH which are part of a psychotic disorder, for whom antipsychotic medication may be helpful, and individuals with AH in the absence of such a disorder who may benefit from other approaches (e.g. different pharmacological interventions, improving coping style, trauma-related therapy).

Neurofeedback: One of today's techniques in psychiatry?

OBJECTIVES: Neurofeedback is a technique that aims to teach a subject to regulate a brain parameter measured by a technical interface to modulate his/her related brain and cognitive activities. However, the use of neurofeedback as a therapeutic tool for psychiatric disorders remains controversial. The aim of this review is to summarize and to comment the level of evidence of electroencephalogram (EEG) neurofeedback and real-time functional magnetic resonance imaging (fMRI) neurofeedback for therapeutic application in psychiatry. METHOD: Literature on neurofeedback and mental disorders but also on brain computer interfaces (BCI) used in the field of neurocognitive science has been considered by the group of expert of the Neurofeedback evaluation & training (NExT) section of the French Association of biological psychiatry and neuropsychopharmacology (AFPBN). RESULTS: Results show a potential efficacy of EEG-neurofeedback in the treatment of attentional-deficit/hyperactivity disorder (ADHD) in children, even if this is still debated. For other mental disorders, there is too limited research to warrant the use of EEG-neurofeedback in clinical practice. Regarding fMRI neurofeedback, the level of evidence remains too weak, for now, to justify clinical use. The literature review highlights various unclear points, such as indications (psychiatric disorders, pathophysiologic rationale), protocols (brain signals targeted, learning characteristics) and techniques (EEG, fMRI, signal processing). CONCLUSION: The field of neurofeedback involves psychiatrists, neurophysiologists and researchers in the field of brain computer interfaces. Future studies should determine the criteria for optimizing neurofeedback sessions. A better understanding of the learning processes underpinning neurofeedback could be a key element to develop the use of this technique in clinical practice.

Hallucinations in schizophrenia and Parkinson's disease: an analysis of sensory modalities involved and the repercussion on patients.

Hallucinations have been described in various clinical populations, but they are neither disorder nor disease specific. In schizophrenia patients, hallucinations are hallmark symptoms and auditory ones are described as the more frequent. In Parkinson's disease, the descriptions of hallucination modalities are sparse, but the hallucinations do tend to have less negative consequences. Our study aims to explore the phenomenology of hallucinations in both hallucinating schizophrenia patients and Parkinson's disease patients using the Psycho-Sensory hAllucinations Scale (PSAS). The main objective is to describe the phenomena of these clinical symptoms in those two specific populations. Each hallucinatory sensory modality significantly differed between Parkinson's disease and schizophrenia patients. Auditory, olfactory/gustatory and cœnesthetic hallucinations were more frequent in schizophrenia than visual hallucinations. The guardian angel item, usually not explored in schizophrenia, was described by 46% of these patients. The combination of auditory and visual hallucinations was the most frequent for both Parkinson's disease and schizophrenia. The repercussion index summing characteristics of each hallucination (frequency, duration, negative aspects, conviction, impact, control and sound intensity) was always higher for schizophrenia. A broader view including widespread characteristics and interdisciplinary works must be encouraged to better understand the complexity of the process involved in hallucinations.

[Serious game as a therapeutic tool in psychiatry: A systematic review]. / Le serious game : applications thérapeutiques en psychiatrie.

CONTEXT: The growing field of new technologies offers new ways to tackle psychiatric disorders (e.g. virtual reality therapy, neurofeedback, etc.). Serious games (SG) are computer applications combining serious aspects with the fun side of video games. This kind of new media could find applications to treat psychiatric disorders. OBJECTIVE: This paper summarizes available data in the literature about therapeutic interventions using SG in psychiatry. METHOD: A Medline search was conducted in May 2014 using the following Medical Subject Headings (MESH) terms: "video games", "mental disorders", and "psychotherapy". RESULTS: Only 10 relevant references were identified according to our inclusion criteria. These studies show that SG are very interesting tools to improve the management of psychiatric disorders. However, only low-level evidence is available to support treatment with SG in patients suffering from psychiatric disorders. Indeed, randomized controlled trials are rare in this field of research. CONCLUSION: SG provide promising therapeutic innovations for the management of psychiatric disorders. Moreover, they could easily be developed in accordance with current dimensional approaches. Finally, major issues to facilitate the implementation of future work on SG in psychiatry are discussed.

Transdiagnostic commonalities and differences in resting state functional connectivity of the default mode network in schizophrenia and major depression.

Schizophrenia and depression are prevalent psychiatric disorders, but their underlying neural bases remains poorly understood. Neuroimaging evidence has pointed towards the relevance of functional connectivity aberrations in default mode network (DMN) hubs, dorso-medial prefrontal cortex and precuneus, in both disorders, but commonalities and differences in resting state functional connectivity of those two regions across disorders has not been formally assessed. Here, we took a transdiagnostic approach to investigate resting state functional connectivity of those two regions in 75 patients with schizophrenia and 82 controls from 4 scanning sites and 102 patients with depression and 106 controls from 3 sites. Our results demonstrate common dysconnectivity patterns as indexed by a significant reduction of functional connectivity between precuneus and bilateral superior parietal lobe in schizophrenia and depression. Furthermore, our findings highlight diagnosis-specific connectivity reductions of the parietal operculum in schizophrenia relative to depression. In light of evidence that points towards the importance of the DMN for social cognitive abilities and well documented impairments of social interaction in both patient groups, it is conceivable that the observed transdiagnostic connectivity alterations may contribute to interpersonal difficulties, but this could not be assessed directly in our study as measures of social behavior were not available. Given the operculum's role in somatosensory integration, diagnosis-specific connectivity reductions may indicate a pathophysiological mechanism for basic self-disturbances that is characteristic of schizophrenia, but not depression.

[Cognition - the core of major depressive disorder]. / La cognition au cœur de la dépression.

Cognitive deficits have been only recently recognized as a major phenotype determinant of major depressive disorder, although they are an integral part of the definition of the depressive state. Congruent evidence suggest that these cognitive deficits persist beyond the acute phase and may be identified at all ages. The aim of the current study was to review the main meta-analyses on cognition and depression, which encompasses a large range of cognitive domains. Therefore, we discuss the "cold" (attention, memory, executive functions) and "hot" (emotional bias) cognitive impairments in MDD, as well as those of social cognition domains (empathy, theory of mind). Several factors interfere with cognition in MDD such as clinical (melancholic, psychotic...) features, age, age of onset, illness severity, medication and comorbid condition. As still debated in the literature, the type of relationship between the severity of cognitive symptoms and functioning in depression is detailed, thus highlighting their predictive value of functional outcome, independently of the affective symptoms. A better identification of the cognitive deficits in MDD and a monitoring of the effects of different treatments require appropriate instruments, which may be developed by taking advantage of the increasing success of computing tools. Overall, current data suggest a core role for different cognitive deficits in MDD, therefore opening new perspectives for optimizing the treatment of depression.

[Schizophrenia and informed consent to research]. / Schizophrénie et consentement à la recherche biomédicale.

CONTEXT: Informed consent to research remains a complex issue, while sometimes staying difficult to obtain, even in the general population. This problem may be maximized with patients suffering from schizophrenia. OBJECTIVE: This paper summarizes available data in the literature about informed consent for research involving patients suffering from schizophrenia. METHOD: Medline and Google Scholar searches were conducted using the following MESH terms: schizophrenia, informed consent and research. RESULTS: Studies using dedicated standardized scales (e.g. MacCAT-CR) revealed a decrease in the capacity to consent of patients with schizophrenia when compared with healthy individuals. Keeping in mind that schizophrenia is an heterogeneous disorder, patients with the lowest insight as well as those with the most severe cognitive symptoms appeared more impaired in their capacity to consent. Such a poor capacity to understand and consent to trials was shown linked with alterations in decision-making. For these specific patients, interventions may be set up to increase their capacity to consent. Various strategies were proposed: enhanced consent forms, extended discussion, test/feedback method or multimedia interventions. Among them, interventions relying on communication and the growing field of information technologies (e.g. web-based tools) seem promising. Finally, associations grouping families and patients (like the French Association UNAFAM) may facilitate the involvement of patients in research programs with safer conditions. CONCLUSION: Patients suffering from schizophrenia appear able to consent to research programs when suitable interventions are proposed. Further studies are now needed to optimize and individualize such interventions.

Deviations in cortex sulcation associated with visual hallucinations in schizophrenia.

Hallucinations, and auditory hallucinations (AH) in particular, constitute the most typical and disabling schizophrenia symptoms. Although visual hallucinations (VH) have been largely neglected in psychiatric disorders, a recent review reported a 27% mean prevalence of VH in schizophrenia patients. The pathophysiology underlying VH in schizophrenia remains elusive. Several schizophrenia studies reported a significant effect of age on VH; therefore, we tested the hypothesis that the neurodevelopmental model of schizophrenia may explain VH occurrence. We analyzed cortex sulcation, a marker of brain development, in healthy controls (HCs) and two subgroups of carefully selected schizophrenia patients suffering from hallucinations: patients with only AH (that is, patients who never reported VH) and patients with audio-visual hallucinations (A+VH). Different cortical sulcation and left-right sulcal asymmetry were found between A+VH and AH patients, with decreased sulcation in both A+VH and AH patients in comparison with the HCs. Although a specific association between VH and neurodegenerative mechanisms, for example, in Body-Lewy Dementia or Parkinson's Disease, has previously been reported in the literature, the current study provides the first neuroimaging evidence of an association between VH and neurodevelopmental mechanisms.

[Hallucinations and borderline personality disorder: a review]. / Hallucinations et trouble de personnalité borderline: une revue de littérature.

INTRODUCTION: Hallucinations constitute understudied symptoms in borderline personality disorders (BPD), which can be observed in about 30% of the patients, essentially in the auditory modality. Most of these experiences are transitory, triggered by intermittent stressors, but chronicity remains a major cause of concern. In order to better circumscribe hallucinations in BPD, we summarized the literature on this particular phenomenon. METHODS: We conducted a review using Medline, Scopus and Google Scholar databases up to March 2013, using the following keywords combinations: "borderline personality disorder", "hallucinat*" and "psychotic symptoms". Papers were included in the review if they were published in an English or French language peer-reviewed journal; the study enrolled patients with BPD; and the diagnosis was made according to the Diagnostic and Statistical Manual (DSM) criteria. Fifteen studies published between 1985 and 2012, merging a total of 635 patients, were retained. RESULTS: The hallucinatory experiences observed in BPD appeared phenomenologically similar to those described in the schizophrenia spectrum in terms of vividness, duration, spatial localization, beliefs about malevolence or omnipotence. Conversely, the hallucinatory content appeared more negative and potentially more distressful. Crucially, this literature search also revealed that these symptoms have long been regarded as "pseudo-hallucinations" (or "hallucination-like symptoms"). This concept was judged of poor scientific validity, inducing stigma for BPD patients in that it casts doubt on the authenticity of these experiences while disqualifying the related distress. This situation points out that research should focus more on understanding hallucinations in BPD than questioning their existence. Interestingly, recent comorbidity studies reopened a 40-year debate on the potential links that may exist between BPD and psychosis. Initially considered as a para-psychotic disorder, BPD was effectively redefined as an independent category by Otto F. Kernberg, leading to the DSM-III definition, excluding any psychotic symptom. However, hallucinations per se remain insufficient to diagnose schizophrenia, while comorbid substance use disorders as well as mood disorders, cannot explain all the hallucination occurrences in BPD. By referring to the "psychotic-reactivity-to-stress" framework, we proposed to understand hallucinations in BPD in relation to a hyperactivity of the hypothalamic-pituitary-adrenal axis and of the dopaminergic system under stress. Childhood trauma may have a central role in such a model. The prevalence of childhood trauma is high in BPD but this factor was also evidenced strongly linked with hallucinations in non-clinical populations. Comparisons are finally made and discussed between hallucinations occurring in BPD and those observed in posttraumatic stress disorder, another frequent comorbid disorder. CONCLUSION: Almost a third of patients with BPD experiences hallucinations, and future studies will have to clarify the pathophysiology of this symptom, still poorly understood. Both the models of psychotic-reactivity-to-stress, as well as the role of childhood trauma in the context of a gene X environment interaction, appear to be promising cues for future research.

The multimodal connectivity of the hippocampal complex in auditory and visual hallucinations.

Hallucinations constitute one of the most representative and disabling symptoms of schizophrenia. Several Magnetic Resonance Imaging (MRI) findings support the hypothesis that distinct patterns of connectivity, particularly within networks involving the hippocampal complex (HC), could be associated with different hallucinatory modalities. The aim of this study was to investigate HC connectivity as a function of the hallucinatory modality, that is, auditory or visual. Two carefully selected subgroups of schizophrenia patients with only auditory hallucinations (AH) or with audio-visual hallucinations (A+VH) were compared using the following three complementary multimodal MRI methods: resting state functional MRI, diffusion MRI and structural MRI were used to analyze seed-based Functional Connectivity (sb-FC), Tract-Based Spatial Statistics (TBSS) and shape analysis, respectively. Sb-FC was significantly higher between the HC, the medial prefrontal cortex (mPFC) and the caudate nuclei in A+VH patients compared with the AH group. Conversely, AH patients exhibited a higher sb-FC between the HC and the thalamus in comparison with the A+VH group. In the A+VH group, TBSS showed specific higher white matter connectivity in the pathways connecting the HC with visual areas, such as the forceps major and the inferior-fronto-occipital fasciculus than in the AH group. Finally, shape analysis showed localized hippocampal hypertrophy in the A+VH group. Functional results support the fronto-limbic dysconnectivity hypothesis of schizophrenia, while specific structural findings indicate that plastic changes are associated with hallucinations. Together, these results suggest that there are distinct connectivity patterns in patients with schizophrenia that depend on the sensory-modality, with specific involvement of the HC in visual hallucinations.