A5102965993- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Autism Spectrum Disorder Research
- Mental Health Research Topics
- Advanced Neuroimaging Techniques and Applications
- Neural and Behavioral Psychology Studies
- Advanced MRI Techniques and Applications
- Attention Deficit Hyperactivity Disorder
- EEG and Brain-Computer Interfaces
- Heat shock proteins research
- S100 Proteins and Annexins
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Heart Rate Variability and Autonomic Control
- Obsessive-Compulsive Spectrum Disorders
- Neuroinflammation and Neurodegeneration Mechanisms
- Genetics and Neurodevelopmental Disorders
- Infant Health and Development
- Neuroscience and Neuropharmacology Research
- Memory and Neural Mechanisms
- Neuroscience and Music Perception
- Analog and Mixed-Signal Circuit Design
- Behavioral and Psychological Studies
- Radiomics and Machine Learning in Medical Imaging
- Neuroendocrine regulation and behavior
- Natural Language Processing Techniques
National Center for Geriatrics and Gerontology
2011-2024
Center for Translational Research in Neuroimaging and Data Science
2023
Advanced Telecommunications Research Institute International
2017-2021
Showa University
2012-2021
Brown University
2021
Nagoya University
2020
Research Organization of Information and Systems
2016-2020
Nagoya Keizai University
2020
Kyoto University
2017
National Institutes for Quantum Science and Technology
2017
Although autism spectrum disorder (ASD) is a serious lifelong condition, its underlying neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and typically developed (TD) individuals were to identify the abnormality of functional connections (FCs). Due over-fitting interferential effects varying measurement conditions demographic distributions, no have been strictly validated independent cohorts. Here we overcome these difficulties by developing novel...
When collecting large amounts of neuroimaging data associated with psychiatric disorders, images must be acquired from multiple sites because the limited capacity a single site. However, site differences represent barrier when acquiring multisite data. We utilized traveling-subject dataset in conjunction multisite, multidisorder to demonstrate that are composed biological sampling bias and engineering measurement bias. The effects on resting-state functional MRI connectivity based pairwise...
Recent functional magnetic resonance imaging (fMRI) studies on autism spectrum condition (ASC) have identified dysfunctions in specific brain networks involved social and non-social cognition that persist into adulthood. Although increasing numbers of fMRI revealed atypical connectivity the adult ASC brain, such alterations at network level not yet been fully characterized within recently developed graph-theoretical framework. Here, we applied a analysis to resting-state data acquired from...
Abstract Machine learning classifiers for psychiatric disorders using resting-state functional magnetic resonance imaging (rs-fMRI) have recently attracted attention as a method directly examining relationships between neural circuits and disorders. To develop accurate generalizable classifiers, we compiled large-scale, multi-site, multi-disorder neuroimaging database. The database comprises fMRI structural images of the brain from 993 patients 1,421 healthy individuals, well demographic...
Working memory deficits are present in many neuropsychiatric diseases with diagnosis-related severity. However, it is unknown whether this common behavioral abnormality a continuum explained by neural mechanism shared across or set of discrete dysfunctions. Here, we performed predictive modeling to examine working ability (WMA) as function normative whole-brain connectivity psychiatric diseases. We built quantitative model for letter three-back task performance healthy participants, using...
Many studies have highlighted the difficulty inherent to clinical application of fundamental neuroscience knowledge based on machine learning techniques. It is difficult generalize brain markers data acquired from independent imaging sites, mainly due large site differences in functional magnetic resonance imaging. We address finding a generalizable marker major depressive disorder (MDD) that would distinguish patients healthy controls resting-state connectivity patterns. For discovery...
Previous autism research has hypothesized that abnormalities of functional connectivity in spectrum disorder (ASD) may vary with the spatial distance between two brain regions. Although several resting-state magnetic resonance imaging (rsfMRI) studies have extensively examined long-range (or distant) adult ASD brain, short-range local) been investigated less depth. Furthermore, possible relationship and activity level during resting state remains unclear.We acquired rsfMRI data from 50...
Growing evidence suggests that a broad range of behavioral anomalies in people with autism spectrum disorder (ASD) can be linked morphological and functional alterations the brain. However, neuroanatomical underpinnings ASD have been investigated using either structural magnetic resonance imaging (MRI) or diffusion tensor (DTI), relationships between abnormalities revealed by these two modalities remain unclear. This study applied multimodal data-fusion method, known as independent component...
Abstract The limited efficacy of available antidepressant therapies may be due to how they affect the underlying brain network. purpose this study was develop a melancholic MDD biomarker identify critically important functional connections (FCs), and explore their association treatments. Resting state fMRI data 130 individuals (65 major depressive disorder (MDD) patients, 65 healthy controls) were included build classifier, 10 FCs selected by our sparse machine learning algorithm. This...
The insular cortex comprises multiple functionally differentiated sub-regions, each of which has different patterns connectivity with other brain regions. Such diverse are thought to underlie a wide range functions, including cognitive, affective, and sensorimotor processing, many abnormal in autism spectrum disorder (ASD). Although past neuroimaging studies ASD have shown structural functional abnormalities the insula, possible alterations sub-regional organization insula characteristics...
Functions of the orbitofrontal cortex include diverse social, cognitive and affective processes, many which are abnormal in autism spectrum disorders (ASDs).Recently, altered sulcogyral patterns have been revealed several psychiatric conditions, such as schizophrenia, indicating a possibility that morphology reflects neurodevelopment.However, presence sulcal alterations ASD remains unexplored.Using structural magnetic resonance imaging, subtypes H-shaped sulcus (Type I, II III, order...
Abstract Background Heat shock proteins (HSPs) are present throughout the brain. They function as molecular chaperones, meaning they help with folding and unfolding of large protein complexes. These chaperones vital in development neuropathological conditions such Alzheimer’s disease Lewy body disease, HSP90, a specific subtype HSP, playing key role. Many studies have shown that drugs inhibit HSP90 activity beneficial effects neurodegenerative diseases. Therefore, PET imaging ligand can be...
In interactive social situations, it is often crucial to be able take another person’s perspective when evaluating one’s own or specific trait; individuals with autism spectrum disorder (ASD) critically lack this skill. To examine how perspective-dependent self- and other-evaluation processes modulate functional connectivity in ASD, we conducted a magnetic resonance imaging study which 26 high-functioning adults ASD 24 typically developed (TD) controls were asked decide whether an adjective...
In the present study, we investigated auditory event-related potentials in adults with Asperger disorder and normal controls using an oddball task a novelty task. Task performance latencies of P300 evoked by both target novel stimuli two tasks did not differ between groups. Analysis variance revealed that there was significant interaction effect group electrode site on mean amplitude stimuli, which indicated altered distribution persons disorder. contrast, no elicited stimuli. Considering...
Abstract When collecting large neuroimaging data associated with psychiatric disorders, images must be acquired from multiple sites because of the limited capacity a single site. However, site differences represent greatest barrier when acquiring multi-site data. We utilized traveling-subject dataset in conjunction multi-site, multi-disorder to demonstrate that are composed biological sampling bias and engineering measurement bias. Effects on resting-state functional MRI connectivity both...
Background: In spite of the relatively high prevalence pervasive development disorders (PDD), medical and educational services for persons with PDD are insufficient in Japan. The present study investigated clinical psychosocial characteristics adults
Abstract Individual differences in cognitive function have been shown to correlate with brain-wide functional connectivity, suggesting a common foundation relating connectivity across healthy populations. However, it remains unknown whether this relationship is preserved deficits seen range of psychiatric disorders. Using machine learning methods, we built prediction model working memory from whole-brain among population ( N = 17, age 19-24 years). We applied normative series independently...
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% studies that have applied machine learning technique been based on diagnoses clinicians. However, an increasing number highlighted the difficulty finding a clear association between existing clinical diagnostic categories neurobiological abnormalities....