Publications by authors named "Yoshihiro Satomura"

Discrepancies in self-rated and observer-rated depression severity may underlie the basis for biological heterogeneity in depressive disorders and be an important predictor of outcomes and indicators to optimize intervention strategies. However, the neural mechanisms underlying this discrepancy have been understudied. This study aimed to examine the brain networks that represent the neural basis of the discrepancy between self-rated and observer-rated depression severity using resting-state functional MRI.

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  • Near-infrared spectroscopy (NIRS) is a noninvasive method that measures brain blood oxygenation to understand neural activity.
  • Researchers studied resting-state brain activity in 24 individuals with schizophrenia and 90 healthy controls, discovering higher functional connectivity in specific brain areas of schizophrenia patients.
  • The findings link increased brain connectivity to the severity of negative symptoms and dosage of antipsychotic medication, indicating NIRS could have useful clinical applications.
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  • Schizophrenia is a complicated mental disorder that shows changes in cognitive abilities and eye movements, which may serve as helpful indicators for diagnosis, but current assessment tools are complex and require expertise.
  • The study tested a new tablet-based platform to measure cognitive function and eye movements in 44 schizophrenia patients, 67 healthy controls, and 41 patients with other psychiatric issues across Japan.
  • Results indicated significant differences in cognitive and eye movement measures between schizophrenia patients and healthy individuals, with the combined measures achieving a high classification accuracy of 0.94, showcasing the potential of the app for effective diagnosis.
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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.

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  • The study highlights the significance of understanding adverse childhood experiences (ACEs) and their long-term effects on health, noting that traditional methods of assessment are lacking in depth.
  • An original 28-item scale was created to evaluate ACEs based on a review of medical charts, which was applied to 536 patients with various psychiatric disorders.
  • Findings showed that nearly 46% of patients had at least one ACE, with bullying being the most prevalent source, and underscored the necessity of appropriately assessing the origins and impacts of ACEs.
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  • Humans are inherently active participants in an unpredictable world, and the interaction between individual brains and their environments is dynamic and reciprocal.
  • Traditional cognitive sciences often view the world as a static backdrop, but the proposed "world-informed neuroscience (WIN)" model includes the interactive nature of this relationship and emphasizes co-productive research with marginalized communities.
  • Incorporating the social model of disability into cognitive sciences can reveal how social factors contribute to mismatches in understanding, and research should prioritize collaborative efforts from the start to enhance diversity and inclusion.
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  • The study investigates how changes in clinical symptoms relate to quality of life in individuals at ultra-high risk for psychosis and those with recent-onset psychotic disorders.
  • Researchers followed up with participants over a period ranging from 6 months to less than 5 years, assessing symptoms and quality of life using established measurement scales.
  • Results show that higher levels of anxiety/depression at the start were linked to poorer quality of life later, while improvements in these symptoms were associated with better quality of life outcomes.
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  • Previous studies have examined the link between demographic and clinical factors and outcomes in individuals at ultra-high risk for psychosis (UHR) and those experiencing first-episode psychosis (FEP), but this study looks specifically at long-term outcomes beyond two years.
  • The research involved 38 UHR individuals and 29 FEP patients, using various measurement techniques like cognitive tests and brain imaging to investigate how these factors relate to clinical outcomes at 13 and 28 months.
  • Findings indicated that in UHR, a larger cortical surface area in a specific brain region was linked to fewer disorganized symptoms after 13 months, while in FEP, a larger surface area in another region was associated with better social functioning after 28 months
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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.

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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.

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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).

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  • This study focused on individuals identified as ultra-high risk (UHR) for developing psychosis, aiming to find biomarkers that predict their prognosis, including remission and neurocognitive function.
  • Participants included 24 UHR individuals and 18 healthy controls, with mismatch negativity (MMN) measured through auditory tasks, assessing differences in their brain responses.
  • Results indicated that UHR individuals showed poorer MMN responses compared to controls, and those with larger dMMN amplitudes were more likely to achieve remission and display better cognitive functioning after six months.
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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.

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Recent studies have shown that microRNAs (miRNAs) play a role as regulators of neurodevelopment by modulating gene expression. Altered miRNA expression has been reported in various psychiatric disorders, including schizophrenia. However, the changes in the miRNA expression profile that occur during the initial stage of schizophrenia have not been fully investigated.

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  • - Previous research highlighted that both glutamatergic and GABAergic dysfunctions play roles in schizophrenia, indicating a disrupted balance of excitatory and inhibitory signals in the brain.
  • - A study involving participants with recent-onset schizophrenia, ultra-high risk individuals, and healthy controls found significant impairments in mismatch negativity (MMN) and gamma-band auditory steady-state response (ASSR) in those with schizophrenia and at ultra-high risk.
  • - The results showed a notable correlation between MMN and gamma-band ASSR in individuals with recent-onset schizophrenia, suggesting a potential link between NMDAR and GABA dysfunctions during the early stages of psychosis.
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Background: Long-term longitudinal studies are necessary to establish neuroimaging indicators which contribute to the detection of severity changes over time in patients with major depressive disorder (MDD).

Methods: One hundred sixty-five patients with MDD underwent clinical assessments and near-infrared spectroscopy (NIRS) examination at the initial evaluation (T0). After 1.

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  • The study investigates the gamma-band auditory steady-state response (ASSR) as a potential biomarker for predicting long-term outcomes in early psychosis, particularly in patients with recent-onset schizophrenia and ultra-high risk individuals.
  • It found that both groups exhibited reduced gamma-band ASSR levels, and this reduction was linked to future symptoms in recent-onset schizophrenia patients.
  • The findings suggest that measuring gamma-band ASSR could be useful for forecasting the symptomatic progression of early psychosis, indicating its potential as a long-term prognosis biomarker.
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  • The study aims to develop a neuroimaging diagnostic system using functional near-infrared spectroscopy (fNIRS) to differentiate between various stages of psychosis in clinical settings.
  • Researchers evaluated 143 participants, including those at ultra-high risk for psychosis, first-episode psychosis patients, chronic schizophrenia patients, and healthy controls, using fNIRS measurements over a 12-month follow-up.
  • Results showed that fNIRS could successfully classify patients across the psychosis spectrum, indicating its potential as a reliable biological marker for diagnosing psychosis in routine clinical practice.
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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).

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  • Multichannel near-infrared spectroscopy (NIRS) is a noninvasive method for measuring blood oxygenation changes in the brain, allowing for the analysis of resting state functional connectivity (RSFC).
  • A study involving 17 healthy participants utilized a multi-distance probe arrangement and independent component analysis to separate brain signals, finding that partial correlation analysis effectively reduced external noise and yielded significant connectivity results.
  • The method demonstrated notable RSFC patterns between brain regions, with females showing increased connectivity in certain areas compared to males, indicating NIRS's potential for studying neural networks and sex differences in brain activity.
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Recent studies have suggested that functional abnormalities in Broca's area, which is important in language production (speech and thoughts before speech), play an important role in the pathophysiology of schizophrenia. While multi-modal approaches have proved useful in revealing the specific pathophysiology of psychosis, the association of functional abnormalities with gray matter volume (GMV) here in subjects with an ultra-high risk (UHR) of schizophrenia, those with first-episode schizophrenia (FES), and healthy controls has yet to be clarified. Therefore, the relationship between cortical activity measured using functional near-infrared spectroscopy (fNIRS) during a verbal fluency task, and GMV in the Broca's area assessed using a manual tracing in magnetic resonance imaging (MRI), which considers individual structural variation, was examined for 57 subjects (23 UHR/18 FES/16 controls).

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Background: Few biomarkers can be used easily and noninvasively to measure clinical condition and future outcome in patients with first-episode psychosis (FEP). To develop such biomarker using multichannel functional near-infrared spectroscopy (fNIRS), cortical function in the prefrontal cortex was longitudinally measured during a verbal fluency task.

Methods: Sixty-nine fNIRS measurements and 77 clinical assessments were obtained from 31 patients with FEP at baseline, 6-month, and 12-month follow-ups.

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