Ayumu Yamashita
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View article: Category-Specific Brain Structural Changes in Psychiatric Disorders and Conditions Using Well-Qualified Harmonization Dataset from Multiple Sites
Category-Specific Brain Structural Changes in Psychiatric Disorders and Conditions Using Well-Qualified Harmonization Dataset from Multiple Sites Open
Background Large-scale, multi-site brain magnetic resonance imaging (MRI) studies have revealed neuroanatomical alterations in various psychiatric disorders. However, site-specific differences—such as sampling and measurement biases—and th…
View article: Probing the content of semantic representations in body-selective regions
Probing the content of semantic representations in body-selective regions Open
The extrastriate body area (EBA) has been known to selectively respond to human body parts, but recent work suggests it may encode richer scene semantics. However, it remains unclear what aspects of natural scenes constitute the semantic r…
View article: Computational mechanisms of neuroimaging biomarkers uncovered by multicenter resting-state fMRI connectivity variation profile
Computational mechanisms of neuroimaging biomarkers uncovered by multicenter resting-state fMRI connectivity variation profile Open
Resting-state functional connectivity (rsFC) is increasingly used to develop biomarkers for psychiatric disorders. Despite progress, development of the reliable and practical FC biomarker remains an unmet goal, particularly one that is cli…
View article: Unsupervised feature computation-based feature selection robustly extracted resting-state functional connectivity patterns related to mental disorders
Unsupervised feature computation-based feature selection robustly extracted resting-state functional connectivity patterns related to mental disorders Open
Research on biomarkers for predicting psychiatric disorders from resting-state functional connectivity (FC) is advancing. While the focus has primarily been on the discriminative performance of biomarkers by machine learning, identificatio…
View article: Prediction of Alpha Power Using Multiple Subjective Measures and Autonomic Responses
Prediction of Alpha Power Using Multiple Subjective Measures and Autonomic Responses Open
Alpha oscillations are associated with various cognitive functions. However, the determinants of alpha power variation remain ambiguous, primarily due to its inconsistent associations with autonomic responses and subjective states under di…
View article: NEUROBIOLOGICAL OVERLAPS AND DIFFERENCES IN METHAMPHETAMINE-INDUCED PSYCHOSIS AND SCHIZOPHRENIA: A RESTING-STATE FMRI AND MACHINE LEARNING STUDY
NEUROBIOLOGICAL OVERLAPS AND DIFFERENCES IN METHAMPHETAMINE-INDUCED PSYCHOSIS AND SCHIZOPHRENIA: A RESTING-STATE FMRI AND MACHINE LEARNING STUDY Open
Background Methamphetamine-induced psychosis (MIP) is characterized by transient episodes, but a substantial portion persists long-term (Wearne &Cornish 2018). While symptom similarities exist between MIP and schizophrenia (Sz), their neur…
View article: BrainCodec: Neural fMRI codec for the decoding of cognitive brain states
BrainCodec: Neural fMRI codec for the decoding of cognitive brain states Open
Recently, leveraging big data in deep learning has led to significant performance improvements, as confirmed in applications like mental state decoding using fMRI data. However, fMRI datasets remain relatively small in scale, and the inher…
View article: Generalizable and transportable resting-state neural signatures characterized by functional networks, neurotransmitters, and clinical symptoms in autism
Generalizable and transportable resting-state neural signatures characterized by functional networks, neurotransmitters, and clinical symptoms in autism Open
View article: Probing unexplored areas in high-dimensional fMRI voxel space using an encoding model and image synthesis
Probing unexplored areas in high-dimensional fMRI voxel space using an encoding model and image synthesis Open
View article: The status of <scp>MRI</scp> databases across the world focused on psychiatric and neurological disorders
The status of <span>MRI</span> databases across the world focused on psychiatric and neurological disorders Open
Neuroimaging databases for neuro‐psychiatric disorders enable researchers to implement data‐driven research approaches by providing access to rich data that can be used to study disease, build and validate machine learning models, and even…
View article: Generalisable functional imaging classifiers of schizophrenia have multifunctionality as trait, state, and staging biomarkers
Generalisable functional imaging classifiers of schizophrenia have multifunctionality as trait, state, and staging biomarkers Open
Schizophrenia spectrum disorder (SSD) is one of the top causes of disease burden; similar to other psychiatric disorders, SSD lacks widely applicable and objective biomarkers. This study aimed to introduce a novel resting-state functional …
View article: Prediction of antidepressant treatment response with thalamo-somatomotor functional connectivity revealed by generalizable stratification of depressed patients
Prediction of antidepressant treatment response with thalamo-somatomotor functional connectivity revealed by generalizable stratification of depressed patients Open
Major depressive disorder (MDD) is diagnosed based on symptoms and signs without relying on physical, biological, or cognitive tests. MDD patients exhibit a wide range of complex symptoms, and it is assumed that there are diverse underlyin…
View article: Computational Mechanisms of Neuroimaging Biomarkers Uncovered by Multicenter Resting-State fMRI Connectivity Variation Profile
Computational Mechanisms of Neuroimaging Biomarkers Uncovered by Multicenter Resting-State fMRI Connectivity Variation Profile Open
Resting-state functional connectivity (rsFC) is increasingly used to develop biomarkers for psychiatric disorders. Despite progress, development of the reliable and practical FC biomarker remains an unmet goal, particularly one that is cli…
View article: Comprehensive evaluation of pipelines for diagnostic biomarkers of major depressive disorder using multi-site resting-state fMRI datasets
Comprehensive evaluation of pipelines for diagnostic biomarkers of major depressive disorder using multi-site resting-state fMRI datasets Open
The objective diagnostic and stratification biomarkers developed with resting-state functional magnetic resonance imaging (rs-fMRI) data are expected to contribute to more effective treatment for mental disorders. Unfortunately, there are …
View article: Generalisable functional imaging classifiers of schizophrenia have multifunctionality as trait, state, and staging biomarkers
Generalisable functional imaging classifiers of schizophrenia have multifunctionality as trait, state, and staging biomarkers Open
Schizophrenia spectrum disorder (SSD) is one of the top causes of disease burden; similar to other psychiatric disorders, SSD lacks widely applicable and objective biomarkers. This study aimed to introduce a novel resting-state functional …
View article: Generalizable neuromarker for autism spectrum disorder across imaging sites and developmental stages: A multi-site study
Generalizable neuromarker for autism spectrum disorder across imaging sites and developmental stages: A multi-site study Open
View article: Generalizable neuromarker for autism spectrum disorder across imaging sites and developmental stages: A multi-site study
Generalizable neuromarker for autism spectrum disorder across imaging sites and developmental stages: A multi-site study Open
Autism spectrum disorder (ASD) is a lifelong condition, and its underlying biological mechanisms remain elusive. The complexity of various factors, including inter-site and development-related differences, makes it challenging to develop g…
View article: Distinctive alterations in the mesocorticolimbic circuits in various psychiatric disorders
Distinctive alterations in the mesocorticolimbic circuits in various psychiatric disorders Open
Aim Increasing evidence suggests that psychiatric disorders are linked to alterations in the mesocorticolimbic dopamine‐related circuits. However, the common and disease‐specific alterations remain to be examined in schizophrenia (SCZ), ma…
View article: Aberrant Large-Scale Network Interactions Across Psychiatric Disorders Revealed by Large-Sample Multi-Site Resting-State Functional Magnetic Resonance Imaging Datasets
Aberrant Large-Scale Network Interactions Across Psychiatric Disorders Revealed by Large-Sample Multi-Site Resting-State Functional Magnetic Resonance Imaging Datasets Open
Background and Hypothesis Dynamics of the distributed sets of functionally synchronized brain regions, known as large-scale networks, are essential for the emotional state and cognitive processes. However, few studies were performed to elu…
View article: Verification of the brain network marker of major depressive disorder: Test-retest reliability and anterograde generalization performance for newly acquired data
Verification of the brain network marker of major depressive disorder: Test-retest reliability and anterograde generalization performance for newly acquired data Open
The results of this study reaffirmed the test-retest reliability and generalization performance of our brain network marker for the diagnosis of MDD.
View article: Effects of upgrading acquisition-techniques and harmonization methods: A multi-modal MRI study with implications for longitudinal designs
Effects of upgrading acquisition-techniques and harmonization methods: A multi-modal MRI study with implications for longitudinal designs Open
A downside of upgrading MRI acquisition sequences is the discontinuity of technological homogeneity of the MRI data. It hampers combining new and old datasets, especially in a longitudinal design. Characterizing upgrading effects on multip…
View article: A multi-site, multi-disorder resting-state magnetic resonance image database
A multi-site, multi-disorder resting-state magnetic resonance image database Open
View article: Comparison of traveling‐subject and <scp>ComBat</scp> harmonization methods for assessing structural brain characteristics
Comparison of traveling‐subject and <span>ComBat</span> harmonization methods for assessing structural brain characteristics Open
Multisite magnetic resonance imaging (MRI) is increasingly used in clinical research and development. Measurement biases—caused by site differences in scanner/image‐acquisition protocols—negatively influence the reliability and reproducibi…
View article: Variable rather than extreme slow reaction times distinguish brain states during sustained attention
Variable rather than extreme slow reaction times distinguish brain states during sustained attention Open
View article: Common Brain Networks Between Major Depressive-Disorder Diagnosis and Symptoms of Depression That Are Validated for Independent Cohorts
Common Brain Networks Between Major Depressive-Disorder Diagnosis and Symptoms of Depression That Are Validated for Independent Cohorts Open
Large-scale neuroimaging data acquired and shared by multiple institutions are essential to advance neuroscientific understanding of pathophysiological mechanisms in psychiatric disorders, such as major depressive disorder (MDD). About 75%…
View article: Brain state-based detection of attentional fluctuations and their modulation
Brain state-based detection of attentional fluctuations and their modulation Open
View article: Integration and segregation across large-scale intrinsic brain networks as a marker of sustained attention and task-unrelated thought
Integration and segregation across large-scale intrinsic brain networks as a marker of sustained attention and task-unrelated thought Open
Sustained attention is a fundamental cognitive process that can be decoupled from distinct external events, and instead emerges from ongoing intrinsic large-scale network interdependencies fluctuating over seconds to minutes. Lapses of sus…
View article: Brain/MINDS beyond human brain MRI project: A protocol for multi-level harmonization across brain disorders throughout the lifespan
Brain/MINDS beyond human brain MRI project: A protocol for multi-level harmonization across brain disorders throughout the lifespan Open
View article: Generalizable brain network markers of major depressive disorder across multiple imaging sites
Generalizable brain network markers of major depressive disorder across multiple imaging sites Open
Many studies have highlighted the difficulty inherent to the clinical application of fundamental neuroscience knowledge based on machine learning techniques. It is difficult to generalize machine learning brain markers to the data acquired…
View article: Common brain networks between major depressive disorder and symptoms of depression that are validated for independent cohorts
Common brain networks between major depressive disorder and symptoms of depression that are validated for independent cohorts Open
Many studies have highlighted the difficulty inherent to the clinical application of fundamental neuroscience knowledge based on machine learning techniques. It is difficult to generalize machine learning brain markers to the data acquired…