- Neurobiology of Language and Bilingualism
- Mobile Crowdsensing and Crowdsourcing
- Language Development and Disorders
- Mobile Health and mHealth Applications
- Phonetics and Phonology Research
- Advanced Neuroimaging Techniques and Applications
- Healthcare Systems and Technology
- Functional Brain Connectivity Studies
- Gaze Tracking and Assistive Technology
- EEG and Brain-Computer Interfaces
- Ethics in Clinical Research
- Traumatic Brain Injury and Neurovascular Disturbances
- Virtual Reality Applications and Impacts
- AI in Service Interactions
- Neuroscience, Education and Cognitive Function
- Neuroinflammation and Neurodegeneration Mechanisms
- Advanced MRI Techniques and Applications
- Social Media in Health Education
- Music Therapy and Health
- Open Source Software Innovations
- Reading and Literacy Development
- Neural and Behavioral Psychology Studies
- Cardiac Arrest and Resuscitation
University of Rochester Medical Center
2014-2020
University of Rochester
2014-2019
Frontal and temporal white matter pathways play key roles in language processing, but the specific computations supported by different tracts remain a of study. A role speech planning has been proposed for recently described pathway, frontal aslant tract (FAT), which connects posterior inferior gyrus to pre-SMA. Here, we use longitudinal functional structural MRI behavioral testing evaluate consequences lesion left FAT that was incurred during surgical resection glioma 60-year-old woman,...
Sentence production involves mapping from deep structures that specify meaning and thematic roles to surface the order sequencing of ready elements. We propose frontal aslant tract is a key pathway for complex actions with hierarchical structure. In domain language, primarily respect left FAT, we refer this as 'Syntagmatic Constraints On Positional Elements' (SCOPE) hypothesis. One prediction made by SCOPE hypothesis disruption should disrupt sentence at grammatical phrase boundaries, no...
Given the pace of discovery in medicine, accessing literature to make informed decisions at point care has become increasingly difficult. Although Internet creates unprecedented access information, gaps medical and inefficient searches often leave healthcare providers' questions unanswered. Advances social computation human computer interactions offer a potential solution this problem. We developed piloted mobile application DocCHIRP, which uses system point‐to‐multipoint push notifications...
In our prior work, we conducted a field trial of the mobile application DocCHIRP (Crowdsourcing Health Information Retrieval Protocol for Doctors), designed to help clinicians problem-solve at point care by crowdsourcing their peers. Here, present results post-trial survey that investigated impressions participating regarding use medical and identify factors influencing adoption technology. all, 72 valid surveys were received from 85 registered users (85% response rate). The majority (>80%)...
Understanding the neural mechanisms that support spontaneous recovery of cognitive abilities can place important constraints on mechanistic theories brain organization and function, holds potential to inform clinical interventions. Connectivity-based MRI measures have emerged as a way study how from injury is modulated by changes in intra- inter-hemispheric connectivity. Here we report detailed multi-modal case 26 year-old male who presented with left inferior parietal glioma infiltrating...
As the pace of medical discovery widens knowledge-to-practice gap, technologies that enable peer-to-peer crowdsourcing have become increasingly common. Crowdsourcing has potential to help providers collaborate solve patient-specific problems in real time. We recently conducted first trial a mobile, application among healthcare university hospital setting. In addition acknowledging benefits, our participants also raised concerns regarding negative consequences this emerging technology....
Abstract Technology can translocate traditional art into interactive, immersive experiences. At the Asian Art Museum of San Francisco, authors transformed Tibetan Buddhist mandalas a 3D virtual reality mandala installation. Furthering this project, they externalized an analog meditative experience by recording electroencephalograms that dynamically modulated visual scene. The use neurofeedback allowed fluctuations in alpha power to drive intensity fog obscuring mandala. This aimed give sense...