Shared functional impairment in the prefrontal cortex affects symptom severity across psychiatric disorders.

BACKGROUND: The prefrontal deficits in psychiatric disorders have been investigated using functional neuroimaging tools; however, no studies have tested the related characteristics across psychiatric disorders considering various demographic and clinical confounders. METHODS: We analyzed 1558 functional brain measurements using a functional near-infrared spectroscopy during a verbal fluency task from 1200 participants with three disease spectra [196 schizophrenia, 189 bipolar disorder (BPD), and 394 major depressive disorder (MDD)] and 369 healthy controls along with demographic characteristics (age, gender, premorbid IQ, and handedness), task performance during the measurements, clinical assessments, and medication equivalent doses (chlorpromazine, diazepam, biperiden, and imipramine) in a consistent manner. The association between brain functions and demographic and clinical variables was tested using a general linear mixed model (GLMM). Then, the direction of relationship between brain activity and symptom severity, controlling for any other associations, was estimated using a model comparison of structural equation models (SEMs). RESULTS: The GLMM showed a shared functional deficit of brain activity and a schizophrenia-specific delayed activity timing in the prefrontal cortex (false discovery rate-corrected p < 0.05). Comparison of SEMs showed that brain activity was associated with the global assessment of functioning scores in the left inferior frontal gyrus opercularis (IFGOp) in BPD group and the bilateral superior temporal gyrus and middle temporal gyrus, and the left superior frontal gyrus, inferior frontal gyrus triangularis, and IFGOp in MDD group. CONCLUSION: This cross-disease large-sample neuroimaging study with high-quality clinical data reveals a robust relationship between prefrontal function and behavioral outcomes across three major psychiatric disorders.

The association between clinical symptoms and later subjective quality of life in individuals with ultra-high risk for psychosis and recent-onset psychotic disorder: A longitudinal investigation.

AIM: Subjective quality of life is a clinically relevant outcome that is strongly associated with the severity of clinical symptoms in individuals with ultra-high risk for psychosis and patients with recent-onset psychotic disorder. Our objective was to examine whether longitudinal changes in clinical symptoms are associated with quality of life in ultra-high risk individuals and patients with recent-onset psychotic disorder. METHODS: Individuals with ultra-high risk and patients with recent-onset psychosis disorder were recruited in the same clinical settings at baseline and were followed up with more than 6 months and less than 5 years later. We assessed five factors of clinical symptoms using the positive and negative syndrome scale, and quality of life using the World Health Organization quality of life questionnaire-short form. We used multiple regression to examine the relationships between clinical symptoms and quality of life while controlling for diagnosis, follow-up period, age, and sex. RESULTS: Data were collected from 22 individuals with ultra-high risk and 27 patients with recent-onset psychosis disorder. The multiple regression analysis results indicated that the more severe anxiety/depression was at baseline, the poorer the quality of life at follow-up. Further, improvement of anxiety/depression and disorganized thoughts were associated with improvement in quality of life. The difference in diagnosis did not affect the association between clinical symptoms and quality of life. CONCLUSION: These findings suggest that the improvement of anxiety/depression and disorganized thoughts is important in the early stages of psychosis before it becomes severe, affecting the quality of life.

Children with special health care needs and mothers' anxiety/depression: Findings from the Tokyo Teen Cohort study.

AIM: Children with special health care needs (CSHCN) are those who require more care for their physical, developmental, or emotional differences than their typically developing peers. Among a wide range of burdens that caregivers of CSHCN experience, the mental burden of caregivers is still not well investigated. This study aimed at examining the relationship between caring for CSHCN and mothers' anxiety/depression. METHODS: This study used data from the Tokyo Early Adolescence Survey, a population-based cross-sectional survey. Using screening questionnaires, we evaluated the prevalence of CSHCN and identified their primary caregivers. Focusing on mothers as caregivers, we analyzed the relationship between having CSHCN and mothers' anxiety/depression, and between the severity of children's condition and mothers' anxiety/depression. We further determined what mediates these relationships using path analyses. RESULTS: Among 4003 participants, we identified 502 CSHCN (12.5%), and 93% of responding caregivers were mothers. We found that mothers with CSHCN were significantly more anxious/depressed than those without CSHCN, which was closely related to the severity of children's condition. The mediation effect of social support on the relation between CSHCN and mothers' anxiety/depression was statistically significant. CONCLUSION: Mothers of CSHCN were more anxious/depressed than other mothers in this study. Social support was indicated to have a significant mediating effect on the relationship between CSHCN and mothers' anxiety/depression. Our results suggest that considering ways to offer social support may effectively relieve the mental stress experienced by mothers of CSHCN.

Identifying neurocognitive markers for outcome prediction of global functioning in individuals with first-episode and ultra-high-risk for psychosis.

AIM: There is an increasing need for identifying neurocognitive predictors of global functional outcome in early psychosis toward optimizing an early intervention strategy. METHODS: We conducted a longitudinal observational study to investigate an association between neurocognitive assessments at baseline and global functional outcome at an average of 1-year follow up. Participants included ultra-high-risk for psychosis (UHR) individuals who had not converted to psychosis during the follow-up period (UHR-NP) and those with first-episode psychosis (FEP). We evaluated neurocognition at baseline using the Brief Assessment of Cognition in Schizophrenia Japanese version, including Verbal Memory, Working Memory, Motor Speed, Verbal Fluency, Attention/Processing Speed, and Executive Function. We also assessed global functional outcome using the modified Global Assessment of Functioning (mGAF) scale both at baseline and after the follow-up period. RESULTS: Thirty-four UHR-NP individuals (34/47, 72%) and 29 FEP individuals (29/36, 81%) completed assessment of neurocognitive function at baseline and functional outcome at follow up. In the UHR-NP group, Attention/Processing Speed was significantly associated with the mGAF score at follow up. In the FEP group, Executive Function was significantly associated with the average mGAF score during follow up. CONCLUSION: Attention/Processing Speed and Executive Function at baseline may predict global functional outcome of early psychosis. These neurocognitive tests are easy to incorporate in clinical settings and, if replicated in independent samples, may be included in routine clinical assessments for prediction of functional outcome in early psychosis.

Application of functional near infrared spectroscopy as supplementary examination for diagnosis of clinical stages of psychosis spectrum.

AIM: Research efforts aiming at neuroimaging-aided differential diagnosis for psychiatric disorders have been progressing rapidly. A previous multisite study has developed a supplementary diagnostic system using functional near-infrared spectroscopy (fNIRS) that can be easily applied to clinical settings. However, few neuroimaging biomarkers have been developed for the psychosis spectrum with various clinical stages. METHODS: We employed the fNIRS as a clinical examination device for 143 participants, comprising 47 ultra-high risk for psychosis (UHR) individuals, 30 patients with first-episode psychosis (FEP), 34 patients with chronic schizophrenia (ChSZ), and 33 healthy controls, who were independent of the previous study. A 12-month follow-up measurement was also carried out on 34 UHR individuals (72%), 21 patients with FEP (70%), and 33 controls. The fNIRS algorithm variables used for classification were the intensity and timing of prefrontal activation following the start of the cognitive task as used in the previous multisite study. RESULTS: The discrimination rate by timing of activation was modest but it became acceptable after adjusting confounding factors. Discrimination by intensity of activation was not improved by similar adjustment. A total of 63.8%, 86.7%, and 81.3% patients were classified as UHR, FEP, and ChSZ, respectively; and 85.1%, 86.7%, and 71.9% of patients in these groups, respectively, were classified as being on the psychosis spectrum. In the follow-up measurement, 88.2% of individuals with UHR and 95.0% of patients with FEP were successfully classified into the psychosis spectrum group. CONCLUSION: The fNIRS for supplementary clinical examination could be validly applied to differentiating people with the psychosis spectrum in various clinical stages. The fNIRS is a candidate biological marker for aiding diagnosis of psychosis spectrum in routine clinical settings.

Detection of resting state functional connectivity using partial correlation analysis: A study using multi-distance and whole-head probe near-infrared spectroscopy.

Multichannel near-infrared spectroscopy (NIRS) is a functional neuroimaging modality that enables easy-to-use and noninvasive measurement of changes in blood oxygenation levels. We developed a clinically-applicable method for estimating resting state functional connectivity (RSFC) with NIRS using a partial correlation analysis to reduce the influence of extraneural components. Using a multi-distance probe arrangement NIRS, we measured resting state brain activity for 8min in 17 healthy participants. Independent component analysis was used to extract shallow and deep signals from the original NIRS data. Pearson's correlation calculated from original signals was significantly higher than that calculated from deep signals, while partial correlation calculated from original signals was comparable to that calculated from deep (cerebral-tissue) signals alone. To further test the validity of our method, we also measured 8min of resting state brain activity using a whole-head NIRS arrangement consisting of 17 cortical regions in 80 healthy participants. Significant RSFC between neighboring, interhemispheric homologous, and some distant ipsilateral brain region pairs was revealed. Additionally, females exhibited higher RSFC between interhemispheric occipital region-pairs, in addition to higher connectivity between some ipsilateral pairs in the left hemisphere, when compared to males. The combined results of the two component experiments indicate that partial correlation analysis is effective in reducing the influence of extracerebral signals, and that NIRS is able to detect well-described resting state networks and sex-related differences in RSFC.

Characterizing prefrontal cortical activity during inhibition task in methamphetamine-associated psychosis versus schizophrenia: a multi-channel near-infrared spectroscopy study.

Methamphetamine abuse and dependence, frequently accompanied by schizophrenia-like psychotic symptoms [methamphetamine-associated psychosis (MAP)], is a serious public health problem worldwide. Few studies, however, have characterized brain dysfunction associated with MAP, nor investigated similarities and differences in brain dysfunction between MAP and schizophrenia. We compared prefrontal cortical activity associated with stop-signal inhibitory task in 21 patients with MAP, 14 patients with schizophrenia and 21 age- and gender-matched healthy controls using a 52-channel near-infrared spectroscopy (NIRS) system. Both the MAP and the schizophrenia groups showed significantly reduced activation in the bilateral ventrolateral prefrontal cortex compared with controls; however, only the MAP group showed reduced activation in the frontopolar prefrontal cortex. The MAP group demonstrated significant positive correlations between task performance and hemodynamic responses in the bilateral ventrolateral, polar and left dorsolateral regions of the prefrontal cortex. The MAP and schizophrenia groups demonstrated a significant difference in the relationship of impulsivity to hemodynamic changes in the bilateral premotor cortex. These findings characterize similarities and differences in prefrontal cortical dysfunction between psychosis associated with methamphetamine and schizophrenia. The reduced hemodynamic changes in the bilateral ventrolateral prefrontal cortex suggest a common underlying pathophysiology of MAP and schizophrenia, whereas those in the frontopolar prefrontal cortex point to an impaired state that is either inherent or caused specifically by methamphetamine use.

[Role of Departments of Psychiatry in University Hospitals as a Developer, Provider, and Educator of Innovative Clinical Psychiatry].

The roles of university hospital psychiatric departments are: 1) the development and pro- vision of advanced psychiatric treatments unique to university hospitals, 2) the provision of psychiatric intervention models for patients with physical diseases, and 3)the provision of real- world environments for young psychiatrists to learn the principles and experience the practice of such innovative care. As for 1), our facility offers a hospitalization for examination program, which uses near-infrared spectroscopy as a biomarker useful for the auxiliary diagnosis of psy- chiatric disease and selection of the treatment method. University psychiatric departments also play a major role in neuropsychiatry, such as through the use of Epilepsy Monitoring Units (EMU) to differentiate between epilepsy and psychogenic non-epileptic seizures (PNES). Additionally, hospitalizations for examination programs are being implemented for psychosocial and employment support for psychiatric patients, and the diagnosis and evaluation of develop- mental disorders. With regard to 2), our facility has a psychiatric liaison-consultation team. In addition to providing consultation for all departments on delirium, anxiety, and depression, they are actively committed to various transplant treatments. There is also a strong cooperative relationship between the critical care center and psychiatric department. Of the patients hospi- talized for physical conditions and emergencies, over ten percent require psychiatric support, and without the psychiatric department, many patients with severe physical diseases cannot be treated. As such, the medical fees for psychiatric departments in universities and general hospitals should be evaluated appropriately. We would like to propose an "Advanced Psychiat- ric Treatment Development Management Center" (tentative name) to manage the following cycle : a) every university psychiatric department will develop and offer model projects utiliz- ing their respective expertise and specialties ; b) after collecting information on best practices, they will establish evidence through multicenter research, Diagnosis Procedure Combination (DPC) data, and others ; c) they will progress to advanced medical treatments and insurance coverage ; and d) they will continue to improve quality. Finally, I emphasize the role of univer- sity psychiatric departments as the center of education where young psychiatrists learn the principles and experience the practice of such an advanced care model, which will innovate and reform future mental health care.

Association of decreased prefrontal hemodynamic response during a verbal fluency task with EGR3 gene polymorphism in patients with schizophrenia and in healthy individuals.

The early growth response 3 (EGR3) gene is an immediate early gene that is expressed throughout the brain and has been suggested as a potential susceptibility gene for schizophrenia (SZ). EGR3 impairment is associated with various neurodevelopmental dysfunctions, and some animal studies have reported a role for EGR3 function in the prefrontal cortex. Therefore, EGR3 genotype variation may be reflected in prefrontal function. By using multi-channel near-infrared spectroscopy (NIRS) in an imaging genetics approach, we tested for an association between the EGR3 gene polymorphism and prefrontal hemodynamic response during a cognitive task in patients with SZ. We assessed 73 chronic patients with SZ and 73 age-, gender-, and genotype-matched healthy controls (HC) who provided written informed consent. We used NIRS to measure changes in prefrontal oxygenated hemoglobin concentration (oxyHb) during the letter version of a verbal fluency task (VFT). Statistical comparisons were performed among EGR3 genotype subgroups (rs35201266, GG/GA/AA). The AA genotype group showed significantly smaller oxyHb increases in the left dorsolateral prefrontal cortex (DLPFC) during the VFT than the GG and GA genotype groups; this was true for both patients with SZ and HC. Our findings provide in vivo human evidence of a significant influence of EGR3 polymorphisms on prefrontal hemodynamic activation level in healthy adults and in patients with SZ. Genetic variation in EGR3 may affect prefrontal function through neurodevelopment. This study illustrates the usefulness of NIRS in imaging genetics investigations on psychiatric disorders.

Genetic influences on prefrontal activation during a verbal fluency task in adults: a twin study based on multichannel near-infrared spectroscopy.

Near-infrared spectroscopy (NIRS) studies have reported that prefrontal hemodynamic dysfunction during executive function tasks may be a promising biomarker of psychiatric disorders, because its portability and noninvasiveness allow easy measurements in clinical settings. Here, we investigated the degree to which prefrontal NIRS signals are genetically determined. Using a 52-channel NIRS system, we monitored the oxy-hemoglobin (oxy-Hb) signal changes in 38 adult pairs of right-handed monozygotic (MZ) twins and 13 pairs of same-sex right-handed dizygotic (DZ) twins during a letter version of the verbal fluency task. Heritability was estimated based on a classical twin paradigm using structured equation modeling. Significant genetic influences were estimated in the right dorsolateral prefrontal cortex and left frontal pole. The degrees of heritability were 66% and 75% in the variances, respectively. This implies that the prefrontal hemodynamic dysfunction observed during an executive function task measured by NIRS may be an efficient endophenotype for large-scale imaging genetic studies in psychiatric disorders.

Abnormal resting-state hyperconnectivity in schizophrenia: A whole-head near-infrared spectroscopy study.

Near-infrared spectroscopy (NIRS) is a noninvasive functional neuroimaging modality that can detect changes in blood oxygenation levels by tracking cortical neural activity. We recorded the resting-state brain activity of 24 individuals with schizophrenia and 90 healthy controls for 8 min using a whole-head NIRS arrangement and then used partial correlation analysis to estimate the resting-state functional connectivity (RSFC) between 17 cortical regions. We found that the RSFC between the bilateral orbitofrontal cortices (OFCs) and between the right temporal and parietal lobes was significantly higher in patients with schizophrenia than in healthy controls. The RSFC between the bilateral OFCs was positively correlated with negative symptom severity, whereas the RSFC between the right temporal and parietal lobes was positively correlated with the chlorpromazine equivalent for antipsychotics prescribed to patients with schizophrenia. This finding was consistent with that for the RSFC calculated using the anterior 52-channel signals. Our results suggest that NIRS-based RSFC measurements have potential clinical applications.

Tablet-Based Cognitive and Eye Movement Measures as Accessible Tools for Schizophrenia Assessment: Multisite Usability Study.

BACKGROUND: Schizophrenia is a complex mental disorder characterized by significant cognitive and neurobiological alterations. Impairments in cognitive function and eye movement have been known to be promising biomarkers for schizophrenia. However, cognitive assessment methods require specialized expertise. To date, data on simplified measurement tools for assessing both cognitive function and eye movement in patients with schizophrenia are lacking. OBJECTIVE: This study aims to assess the efficacy of a novel tablet-based platform combining cognitive and eye movement measures for classifying schizophrenia. METHODS: Forty-four patients with schizophrenia, 67 healthy controls, and 41 patients with other psychiatric diagnoses participated in this study from 10 sites across Japan. A free-viewing eye movement task and 2 cognitive assessment tools (Codebreaker task from the THINC-integrated tool and the CognitiveFunctionTest app) were used for conducting assessments in a 12.9-inch iPad Pro. We performed comparative group and logistic regression analyses for evaluating the diagnostic efficacy of the 3 measures of interest. RESULTS: Cognitive and eye movement measures differed significantly between patients with schizophrenia and healthy controls (all 3 measures; P<.001). The Codebreaker task showed the highest classification effectiveness in distinguishing schizophrenia with an area under the receiver operating characteristic curve of 0.90. Combining cognitive and eye movement measures further improved accuracy with a maximum area under the receiver operating characteristic curve of 0.94. Cognitive measures were more effective in differentiating patients with schizophrenia from healthy controls, whereas eye movement measures better differentiated schizophrenia from other psychiatric conditions. CONCLUSIONS: This multisite study demonstrates the feasibility and effectiveness of a tablet-based app for assessing cognitive functioning and eye movements in patients with schizophrenia. Our results suggest the potential of tablet-based assessments of cognitive function and eye movement as simple and accessible evaluation tools, which may be useful for future clinical implementation.

"World-Informed" Neuroscience for Diversity and Inclusion: An Organizational Change in Cognitive Sciences.

By nature, humans are "tojisha (participating subjects/player-witnesses)" who encounter an unpredictable real world. An important characteristic of the relationship between the individual brain and the world is that it creates a loop of interaction and mutual formation. However, cognitive sciences have traditionally been based on a model that treats the world as a given constant. We propose incorporating the interaction loop into this model to create "world-informed neuroscience (WIN)". Based on co-productive research with people with minority characteristics that do not match the world, we hypothesize that the tojisha and the world interact in a two-dimensional way of rule-based and story-based. By defining the cognitive process of becoming tojisha in this way, it is possible to contribute to the various issues of the real world and diversity and inclusion through the integration of the humanities and sciences. The critical role of the brain dopamine system as a basis for brain-world interaction and the importance of research on urbanicity and adolescent development as examples of the application of WIN were discussed. The promotion of these studies will require bidirectional translation between human population science and animal cognitive neuroscience. We propose that the social model of disability should be incorporated into cognitive sciences, and that disability-informed innovation is needed to identify how social factors are involved in mismatches that are difficult to visualize. To promote WIN to ultimately contribute to a diverse and inclusive society, co-production of research from the initial stage of research design should be a baseline requirement.

Alterations of auditory-evoked gamma oscillations are more pronounced than alterations of spontaneous power of gamma oscillation in early stages of schizophrenia.

Several animal models of schizophrenia and patients with chronic schizophrenia have shown increased spontaneous power of gamma oscillations. However, the most robust alterations of gamma oscillations in patients with schizophrenia are reduced auditory-oscillatory responses. We hypothesized that patients with early-stage schizophrenia would have increased spontaneous power of gamma oscillations and reduced auditory-oscillatory responses. This study included 77 participants, including 27 ultra-high-risk (UHR) individuals, 19 patients with recent-onset schizophrenia (ROS), and 31 healthy controls (HCs). The auditory steady-state response (ASSR) and spontaneous power of gamma oscillations measured as induced power during the ASSR period were calculated using electroencephalography during 40-Hz auditory click-trains. The ASSRs were lower in the UHR and ROS groups than in the HC group, whereas the spontaneous power of gamma oscillations in the UHR and ROS groups did not significantly differ from power in the HC group. Both early-latency (0-100 ms) and late-latency (300-400 ms) ASSRs were significantly reduced and negatively correlated with the spontaneous power of gamma oscillations in the ROS group. In contrast, UHR individuals exhibited reduced late-latency ASSR and a correlation between the unchanged early-latency ASSR and the spontaneous power of gamma oscillations. ASSR was positively correlated with the hallucinatory behavior score in the ROS group. Correlation patterns between the ASSR and spontaneous power of gamma oscillations differed between the UHR and ROS groups, suggesting that the neural dynamics involved in non-stimulus-locked/task modulation change with disease progression and may be disrupted after psychosis onset.

Retrospective chart review-based assessment scale for adverse childhood events and experiences.

Aim: Adverse childhood experiences (ACEs) are highly prevalent in the general population, and their lifelong impact on physical and mental health is profound. In assessing ACEs, it is vital to consider the pathways and modalities by which an individual internalizes events as an adverse experience and its effects on their biological, psychological, and social function. However, conventional assessments of ACEs are inadequate in that they do not comprehensively assess the source of the adverse event and the pathway and mode of its impact on the individual. Methods: This study developed an original scale for ACEs that classifies the source of the event and the pathway and mode of its impact on the individual from a retrospective review of medical charts. We also used this scale to investigate the ACEs in 536 patients with psychiatric disorders (depression, bipolar disorder, and schizophrenia). Results: This scale consisted of 28 items, and its reliability and validity were sufficient. We also found that 45.9% of the patients studied had at least one ACE, ranging from 43.5% to 51.5% for all disorders. Psychological trauma (bullying) from peers was the most common cause at 27.2%. Conclusion: We developed a retrospective chart review-based assessment tool for ACEs which enables the examination of the source of the events of ACEs and the pathways and modalities of their impact on the individual. The frequency of ACEs is high regardless of the type of psychiatric disorder, and horizontal trauma (bullying victimization) is as frequent as vertical trauma (parental maltreatment).

Abnormality of Resting-State Functional Connectivity in Major Depressive Disorder: A Study With Whole-Head Near-Infrared Spectroscopy.

Near-infrared spectroscopy (NIRS) is a functional neuroimaging modality that has advantages in clinical usage. Previous functional magnetic resonance imaging (fMRI) studies have found that the resting-state functional connectivity (RSFC) of the default mode network (DMN) is increased, while the RSFC of the cognitive control network (CCN) is reduced in patients with major depressive disorder (MDD) compared with healthy controls. This study tested whether the NIRS-based RSFC measurements can detect the abnormalities in RSFC that have been associated with MDD in previous fMRI studies. We measured 8 min of resting-state brain activity in 34 individuals with MDD and 78 age- and gender-matched healthy controls using a whole-head NIRS system. We applied a previously established partial correlation analysis for estimating RSFCs between the 17 cortical regions. We found that MDD patients had a lower RSFC between the left dorsolateral prefrontal cortex and the parietal lobe that comprise the CCN, and a higher RSFC between the right orbitofrontal cortex and ventrolateral prefrontal cortex, compared to those in healthy controls. The RSFC strength of the left CCN was negatively correlated with the severity of depressive symptoms and the dose of antipsychotic medication and positively correlated with the level of social functioning. The results of this study suggest that NIRS-based measurements of RSFCs have potential clinical applications.

Surface area in the insula was associated with 28-month functional outcome in first-episode psychosis.

Many studies have tested the relationship between demographic, clinical, and psychobiological measurements and clinical outcomes in ultra-high risk for psychosis (UHR) and first-episode psychosis (FEP). However, no study has investigated the relationship between multi-modal measurements and long-term outcomes for >2 years. Thirty-eight individuals with UHR and 29 patients with FEP were measured using one or more modalities (cognitive battery, electrophysiological response, structural magnetic resonance imaging, and functional near-infrared spectroscopy). We explored the characteristics associated with 13- and 28-month clinical outcomes. In UHR, the cortical surface area in the left orbital part of the inferior frontal gyrus was negatively associated with 13-month disorganized symptoms. In FEP, the cortical surface area in the left insula was positively associated with 28-month global social function. The left inferior frontal gyrus and insula are well-known structural brain characteristics in schizophrenia, and future studies on the pathological mechanism of structural alteration would provide a clearer understanding of the disease.

Mismatch Negativity Predicts Remission and Neurocognitive Function in Individuals at Ultra-High Risk for Psychosis.

BACKGROUND: In the early intervention in psychosis, ultra-high risk (UHR) criteria have been used to identify individuals who are prone to develop psychosis. Although the transition rate to psychosis in individuals at UHR is 10% to 30% within several years, some individuals at UHR present with poor prognoses even without transition occurring. Therefore, it is important to identify biomarkers for predicting the prognosis of individuals at UHR, regardless of transition. We investigated whether mismatch negativity (MMN) in response to both duration deviant stimuli (dMMN) and frequency deviant stimuli (fMMN) could predict prognosis, including remission and neurocognitive function in individuals at UHR. MATERIALS AND METHODS: Individuals at UHR (n = 24) and healthy controls (HC; n = 18) participated in this study. In an auditory oddball paradigm, both dMMN and fMMN were measured at baseline. Remission and neurocognitive function after > 180 days were examined in the UHR group. Remission from UHR was defined as functional and symptomatic improvement using the Global Assessment of Functioning (GAF) score and Scale of Prodromal Symptoms (SOPS) positive subscales. Neurocognitive function was measured using the Brief Assessment of Cognition in Schizophrenia (BACS). We examined differences in MMN amplitude at baseline between those who achieved remission (remitters) and those who did not (non-remitters). Multiple regression analyses were performed to identify predictors for functioning, positive symptoms, and neurocognitive function. RESULTS: Compared with the HC group, the UHR group had a significantly attenuated dMMN amplitude (p = 0.003). In the UHR group, GAF scores significantly improved during the follow-up period (mean value 47.1 to 55.5, p = 0.004). The dMMN amplitude at baseline was significantly larger in the remitter (n = 6) than in the non-remitter group (n = 18) (p = 0.039). The total SOPS positive subscale scores and fMMN amplitude at baseline could predict BACS attention subscore at the follow-up point (SOPS positive subscales, p = 0.030; fMMN, p = 0.041). CONCLUSION: Our findings indicate that dMMN and fMMN predicted remission and neurocognitive function, respectively, in individuals at UHR, which suggests that there are both promising biomarker candidates for predicting prognosis in individuals at UHR.

Prefrontal dysfunction associated with a history of suicide attempts among patients with recent onset schizophrenia.

Suicide is a major cause of death in patients with schizophrenia, particularly among those with recent disease onset. Although brain imaging studies have identified the neuroanatomical correlates of suicidal behavior, functional brain activity correlates particularly in patients with recent-onset schizophrenia (ROSZ) remain unknown. Using near-infrared spectroscopy (NIRS) recording with a high-density coverage of the prefrontal area, we investigated whether prefrontal activity is altered in patients with ROSZ having a history of suicide attempts. A 52-channel NIRS system was used to examine hemodynamic changes in patients with ROSZ that had a history of suicide attempts (n = 24) or that lacked such a history (n = 62), and age- and sex-matched healthy controls (n = 119), during a block-design letter fluency task (LFT). Patients with a history of suicide attempts exhibited decreased activation in the right dorsolateral prefrontal cortex compared with those without such a history. Our findings indicate that specific regions of the prefrontal cortex may be associated with suicidal attempts, which may have implications for early intervention for psychosis.

Resting-state EEG beta band power predicts quality of life outcomes in patients with depressive disorders: A longitudinal investigation.

BACKGROUND: Quality of life is severely impaired in patients with depressive disorders. Previous studies have focused on biomarkers predicting depressive symptomatology; however, studies investigating biomarkers predicting quality of life outcomes are limited. Improving quality of life is important because it is related not only to mental health but also to physical health. We need to develop a biomarker related to quality of life as a therapeutic target for patients with depressive disorders. Resting-state electroencephalography (EEG) is easy to record in clinical settings. The index of bandwidth spectral power predicts treatment response in depressive disorders and thus may be a candidate biomarker. However, no longitudinal studies have investigated whether EEG-recorded power could predict quality of life outcomes in patients with depressive disorders. METHODS: The resting-state EEG-recorded bandwidth spectral power at baseline and the World Health Organization Quality of Life (QOL)-26 scores at 3-year follow-up were measured in 44 patients with depressive disorders. RESULTS: The high beta band power (20-30 Hz) at baseline significantly predicted QOL at the 3-year follow-up after considering depressive symptoms and medication effects in a longitudinal investigation in patients with depressive disorders (ß = 0.38, p = 0.01). LIMITATIONS: We did not have healthy subjects as a comparison group in this study. CONCLUSIONS: Our findings suggest that resting-state beta activity has the potential to be a useful biomarker for predicting future quality of life outcomes in patients with depressive disorders.