A5041859996- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Cell Image Analysis Techniques
- Medical Imaging Techniques and Applications
- Electron and X-Ray Spectroscopy Techniques
- Health, Environment, Cognitive Aging
- Scientific Computing and Data Management
- Tendon Structure and Treatment
- Mental Health Research Topics
- Schizophrenia research and treatment
- Parallel Computing and Optimization Techniques
- Morphological variations and asymmetry
- Medical Image Segmentation Techniques
- Advanced Biosensing Techniques and Applications
- Advanced Fluorescence Microscopy Techniques
- Neural dynamics and brain function
- Protein Structure and Dynamics
- Obsessive-Compulsive Spectrum Disorders
- Ferroelectric and Negative Capacitance Devices
- Explainable Artificial Intelligence (XAI)
- Monoclonal and Polyclonal Antibodies Research
- Digital Image Processing Techniques
- Advanced Breast Cancer Therapies
- Empathy and Medical Education
Stanford University
2019-2024
Massachusetts Institute of Technology
2018-2021
University of Pennsylvania
2021
McGovern Institute for Brain Research
2018-2020
Imaging Center
2020
Abstract Neuroimaging with MRI has been a frequent component of studies individuals at clinical high risk (CHR) for developing psychosis, goals understanding potential brain regions and systems impacted in the CHR state identifying prognostic or predictive biomarkers that can enhance our ability to forecast outcomes. To date, most involving are likely not sufficiently powered generate robust generalizable neuroimaging results. Here, we describe prospective, advanced, modern protocol was...
Preprocessing of functional MRI (fMRI) involves numerous steps to clean and standardize data before statistical analysis. Generally, researchers create ad hoc preprocessing workflows for each new dataset, building upon a large inventory tools available step. The complexity these has snowballed with rapid advances in MR acquisition image processing techniques. We introduce fMRIPrep , an analysis-agnostic tool that addresses the challenge robust reproducible task-based resting fMRI data....
There has been a recent major upsurge in the concerns about reproducibility many areas of science. Within neuroimaging domain, one approach is to promote target re-executability publication. The information supporting such can enable detailed examination how an initial finding generalizes across changes processing approach, and sampled population, controlled scientific fashion. ReproNim: A Center for Reproducible Neuroimaging Computation recently funded initiative that seeks facilitate 'last...
Abstract Reference anatomies of the brain (‘templates’) and corresponding atlases are foundation for reporting standardized neuroimaging results. Currently, there is no registry templates atlases; therefore, redistribution these resources occurs either bundled within existing software or in ad hoc ways such as downloads from institutional sites general-purpose data repositories. We introduce TemplateFlow a publicly available framework human non-human models. The combines an open database...
In order to support efficient processing, data must be formatted according standards that are prevalent in the field and widely supported among actively developed analysis tools.The Brain Imaging Data Structure (BIDS) (Gorgolewski et al., 2016) is an open standard designed for computational accessibility, operator legibility, a wide easily extendable scope of modalities -and consequently used by numerous processing tools as preferred input format many fields neuroscience.HeuDiConv (Heuristic...
Active navigation seems to yield better spatial knowledge than passive navigation, but it is unclear how active decision-making influences learning and memory. Here, we examined the contributions of theta oscillations memory-related exploration while testing theories about they contribute learning. Using electroencephalography (EEG), tested individuals on a maze-learning task in which made discrete decisions where explore at each choice point maze. Half participants were free make point,...
Gradient-based approaches to brain function have recently unmasked fundamental properties of organization. Diffusion map embedding analysis resting-state fMRI data revealed a primary-to-transmodal axis cerebral cortical macroscale functional The same method was used analyze within the cerebellum, revealing for first time sensorimotor-fugal organization principle cerebellar function. Cerebellar gradient 1 extended from motor non-motor task-unfocused (default-mode network) areas, and 2...
We present a Human Connectome Project study tailored toward adolescent anxiety and depression. This is one of the first studies Connectomes Related to Diseases initiative collecting structural, functional, diffusion-weighted brain imaging data from up 225 adolescents (ages 14–17 years), 150 whom are expected have current diagnosis an and/or depressive disorder. Comprehensive clinical neuropsychological evaluations longitudinal also being collected. article provides overview task functional...
Emotional dysregulation symptoms in youth frequently predispose individuals to increased risk for mood disorders and other mental health difficulties. These are also known as a behavioral marker predicting pediatric disorders. The underlying neural mechanism of emotional dysregulation, however, remains unclear. This study used the diffusion tensor imaging (DTI) technique identify anatomically specific variation white-matter microstructure that is associated with severity. Thirty-two children...
Abstract The sharing of research data is essential to ensure reproducibility and maximize the impact public investments in scientific research. Here we describe OpenNeuro, a BRAIN Initiative archive that provides ability openly share from broad range brain imaging types following FAIR principles for sharing. We highlight importance Brain Imaging Data Structure (BIDS) standard enabling effective curation, sharing, reuse data. presently shares more than 600 datasets including 20,000...
Adolescents with anxiety disorders exhibit excessive emotional and somatic arousal. Neuroimaging studies have shown abnormal cerebral cortical activation connectivity in this patient population. The specific role of cerebellar output circuitry, specifically the dentate nuclei (DN), adolescent remains largely unexplored. Resting-state functional analyses parcellated DN, major cerebellum, into three territories (FTs) that include default-mode, salience-motor, visual networks. objective study...
The Connectomes Related to Human Diseases (CRHD) initiative was developed with the Connectome Project (HCP) provide high-resolution, open-access, multi-modal MRI data better understand neural correlates of human disease. Here, we present an introduction a CRHD project, Boston Adolescent Neuroimaging Depression and Anxiety (BANDA) study, which is collecting multimodal neuroimaging, clinical, neuropsychological from 225 adolescents (ages 14–17), 150 whom are expected have diagnosis depression...
Functional magnetic resonance imaging (fMRI) is a standard tool to investigate the neural correlates of cognition. fMRI noninvasively measures brain activity, allowing identification patterns evoked by tasks performed during scanning. Despite long history this technique, idiosyncrasies each dataset have led use ad-hoc preprocessing protocols customized for nearly every different study. This approach time-consuming, error-prone, and unsuitable combining datasets from many sources. Here we...
Reference anatomies of the brain and corresponding atlases play a central role in experimental neuroimaging workflows are foundation for reporting standardized results. The choice such references —i.e., templates— is one relevant source methodological variability across studies, which has recently been brought to attention as an important challenge reproducibility neuroscience. TemplateFlow publicly available framework human nonhuman models. combines open database with software access,...
The current neuroimaging workflow has matured into a large chain of processing and analysis steps involving number experts, across imaging modalities applications. development fast adoption fMRIPrep [1] have revealed that neuroscientists need tools simplify their research workflow, provide visual reports checkpoints, engender trust in the tool itself. Here we present NiPreps (NeuroImaging Preprocessing toolS) framework, which extends fMRIPrep's approach principles to new modalities. vision...
Abstract Reference anatomies of the brain and corresponding atlases play a central role in experimental neuroimaging workflows are foundation for reporting standardized results. The choice such references —i.e., templates— is one relevant source methodological variability across studies, which has recently been brought to attention as an important challenge reproducibility neuroscience. TemplateFlow publicly available framework human nonhuman models. combines open database with software...
Echo-Planar Imaging (EPI) allows very fast acquisition of whole-brain data, which enables standard functional & diffusion MRI (f/dMRI). However, EPI is notably sensitive to variations in the base B0 field. Small deviations parts-per-million from nominal caused by steps magnetic susceptibility (tissue interfaces) introduce misplacements registered location voxels up some cm settings along phase-encoding direction (PE), apparent as local geometrical distortions imaged specimen. In...