A5060320825- Advanced Neuroimaging Techniques and Applications
- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- Dementia and Cognitive Impairment Research
- Fetal and Pediatric Neurological Disorders
- Neonatal and fetal brain pathology
- Pharmaceutical Practices and Patient Outcomes
- Alzheimer's disease research and treatments
- Cell Image Analysis Techniques
- Treatment of Major Depression
- Neurogenesis and neuroplasticity mechanisms
- Advanced Electron Microscopy Techniques and Applications
- Optical Imaging and Spectroscopy Techniques
- Acute Ischemic Stroke Management
- Neurological Disease Mechanisms and Treatments
- Blood Pressure and Hypertension Studies
- Cardiovascular Disease and Adiposity
- Stroke Rehabilitation and Recovery
- Neurological and metabolic disorders
- Brain Tumor Detection and Classification
- Cerebrospinal fluid and hydrocephalus
- MRI in cancer diagnosis
Johns Hopkins University
2022-2024
Johns Hopkins Medicine
2022-2024
Tokyo Medical and Dental University
2022
Characterizing longitudinal patterns of regional brain volume changes in a population with normal cognition at the individual level could improve understanding aging process and may aid prevention age-related neurodegenerative diseases.To investigate trajectories volumes change rates structures participants without dementia.This cohort study was conducted from November 1, 2006, to April 30, 2021, single academic health-checkup center among 653 individuals who participated health screening...
BACKGROUND: Combined quantitative susceptibility mapping and R2* relaxometry can distinguish iron myelin components in ischemic lesions. We aimed to investigate whether longitudinal changes magnetic values within lesions were associated with neurological outcomes. METHODS: In this single-center prospective study, we included patients, 20 90 years of age, who consecutively admitted the stroke care unit between August 2020 March 2022 due acute stroke. The participants underwent 2 instances...
Abstract Background Mounting evidence suggests that the blood-brain barrier (BBB) plays an important role in regulation of brain iron homeostasis normal development, but these imaging profiles remain to be elucidated. We aimed establish a relationship between dynamics and BBB function during childhood using combined quantitative magnetic resonance (MRI) depict both physiological systems along developmental trajectories. Methods In this single-center prospective study, consecutive...
0. Abstract This study introduces OpenMAP-T1, a deep-learning-based method for rapid and accurate whole-brain parcellation in T1-weighted brain MRI, which aims to overcome the limitations of conventional normalization-to-atlas-based approaches multi-atlas label-fusion (MALF) techniques. Brain image is fundamental process neuroscientific clinical research, enabling detailed analysis specific cerebral regions. Normalization-to-atlas-based methods have been employed this task, but they face due...
Although health screening plays a key role in the management of chronic diseases associated with lifestyle choices, brain is not generally monitored, remaining black box prior to manifestation clinical symptoms. Japan unique this regard, as MRI scans have been widely performed for more than two decades part Brain Dock, comprehensive programme. A vast number stored images (well over million) longitudinal and extensive data are available, offering valuable resource investigating prevalence...
Conventional neuroimaging biomarkers for the neurodegeneration of Alzheimer's disease (AD) are not sensitive enough to detect neurodegenerative alterations during preclinical stage AD individuals. We examined whether entorhinal-hippocampal pathway could be detected along continuum using ultra-high-field diffusion tensor imaging and tractography ex vivo brain tissues. Postmortem specimens from a cognitively unimpaired individual without pathological changes (non-AD), with (preclinical AD),...
ABSTRACT This study introduces OpenMAP‐T1, a deep‐learning‐based method for rapid and accurate whole‐brain parcellation in T1‐ weighted brain MRI, which aims to overcome the limitations of conventional normalization‐to‐atlas‐based approaches multi‐atlas label‐fusion (MALF) techniques. Brain image is fundamental process neuroscientific clinical research, enabling detailed analysis specific cerebral regions. Normalization‐to‐atlas‐based methods have been employed this task, but they face due...
Motivation: Important physical parameter, relaxometric constant$$$\;{D_r}$$$, linking magnetic susceptibility to induced transverse relaxation acceleration (i.e.,$$$\;{R2'}$$$) has not yet been fully understood in brain. Goal(s): To investigate underlying mechanisms affecting constant brain using temperature-dependent relaxometry and explore a better field-strength correction for ultra-high-field MRI. Approach: 3T 7T R2*/R2'/quantitative-susceptibility maps were acquired from post-mortem at...
Hypoxic–ischemic encephalopathy (HIE) is the most common cause of neonatal acquired brain injury. Although conventional MRI may predict neurodevelopmental outcomes, accurate prognostication remains difficult. As diffusion tensor imaging (DTI) provide an additional diagnostic and prognostic value over MRI, we aimed to develop a composite DTI (cDTI) score relate short-term neurological function. Sixty prospective neonates treated with therapeutic hypothermia (TH) for HIE were evaluated DTI,...
Conventional neuroimaging biomarkers for the neurodegeneration of Alzheimer’s disease (AD) are not sensitive enough to detect neurodegenerative alterations in preclinical AD individuals. We aimed examine microstructural entorhinal-hippocampus pathway during pathological process AD. Our ex vivo comparative study 11.7T MRI and histology successfully visualized brain tissues. In a future study, we aim translate findings from into clinical research
White matter hyperintensity (WMH) in the brain is known to correlate with cognitive prognosis many diseases; automated quantification tools for WMH have been developed, but most used quantify study data from specific diseases imaged a single scanning protocol. The low accuracy of these when clinical diverse scan protocols and has problem applications. To overcome this limitation, we developed deep-learning-based model real-world FLAIR images high heterogeneity. results show potential method as tool.
Motivation: While high-resolution quantitative susceptibility mapping (QSM) reveals unprecedented anatomical cytoarchitectures, delineation of certain substructures may be limited in regions containing both iron and myelin. Goal(s): To demonstrate myelin-specific anatomy inside human brain using sub-millimeter source-separation (chi-separation). Approach: Sub-millimeter multi-orientation QSM chi-separation were obtained on postmortem hemibrain at 7T. Capabilities QSM, χpara...
Motivation: Diffusion MRI (dMRI) is promising for predicting disabilities due to neonatal hypoxic-ischemic encephalopathy (HIE), yet current automated image quantification methods are slow and unvalidated HIE lesions. Goal(s): Develop a rapid deep-learning model, OpenMAP-Di, quantify dMRI with without injury predict the short-term outcome (STO) score. Approach: We utilized nnU-Net develop enabling parcellation quantification, applied an elastic regression model STO Results: OpenMAP-Di...
Motivation: Whole-brain MRI parcellation serves as a feature extraction technique, allowing for the condensation of over million pixels information into few hundred neuroanatomically defined elements. Goal(s): The multi-atlas label-fusion (MALF) method is known accurate but typically necessitates several hours to process single image. Our goal was develop faster tool with an accuracy comparable that MALF. Approach: We introduce open-source multiple anatomical T1 (OpenMAP-T1), based on deep...
Motivation: The five-year survival of pediatric CNS tumors has increased from 57% in 1975 to 77% 2015. Despite these improvements, survivors are at risk for cognitive sequelae resulting disease and treatment exposures. Goal(s): Evaluate the correlations between substructure white matter integrity neurocognitive outcomes. Approach: current study examined associations longitudinal change DTI outcomes 61 brain tumor patients. Results: Moderate were found mean diffusivity middle cerebellar...
Motivation: High-resolution ex vivo susceptibility tensor imaging (STI) shows promise in visualizing detailed microstructural neuroanatomy related to tissue magnetic contrast but is usually challenging with large human brain samples. Goal(s): This work aimed demonstrate a feasible protocol for STI on postmortem hemibrain using 7T MR scanner. Approach: De-identified samples of the left hemisphere were collected, prepared, and scanned 3D multi-echo gradient echo sequence 0.5 mm isotropic...
Objective: Cholinesterase inhibitors (CEIs) are prescribed for dementia to maintain or improve memory. Selective serotonin reuptake (SSRIs) also manage psychiatric symptoms seen in dementia. What proportion of outpatients actually responds these drugs is still unclear. Our objective was investigate the responder rates medications an outpatient setting using electronic medical record (EMR). Methods: We used Johns Hopkins EMR system identify patients with who were a CEI SSRI first time between...
Abstract Objective Cholinesterase inhibitors (CEI) are prescribed for dementia to maintain or improve memory. Selective serotonin reuptake (SSRI) also recognized as first-line agents psychiatric symptoms seen in dementia. What proportion of outpatients actually respond these drugs is still unclear. Our objective was investigate the responders medications a clinical outpatient setting. Methods We used Johns Hopkins Electronic Medical Record System identify patients with who were CEI SSRI...