The Neuroscience and Ophthalmic Imaging Technologies (NOIT) study section reviews applications to develop and utilize imaging, computational, informatic, and biophysical approaches for studying the development, structure, function, or pathology of the nervous system. While the multidisciplinary nature of NOIT covers a wide range of technologies, the central theme is a neuroscience or brain imaging context, including developmental and neurological disorders. Proposals need not be hypothesis driven if the emphasis is on technique development or application. NOIT also reviews applications to develop new and emerging bioimaging techniques for ophthalmic use.
The List of Reviewers lists all present, whether standing members or temporary, to provide the full scope of expertise present on that date. Lists are posted 30 days before the meeting and are tentative, pending any last minute changes.
The membership panel is a list of chartered members only.
- In vivo imaging of brain structure and function: MRI, DTI, fMRI, EEG, MEG, PET, SPECT, NIRS, MR spectroscopy, high field MRI, and other modalities; independent or multi-modal recordings
- Combined intracortical electrocorticography (ECOG) and MR imaging for recording of epileptic activity/ epilepsy
- Nanoparticle/probe development for whole brain imaging
- Computational strategies for image processing: longitudinal and cross-subject studies; visualization of brain lesions or injury
- Neuroinformatics: algorithms and software; database construction, integration, and sharing
- Neural network reconstruction and connectivity mapping using electron or optical microscopy; brain atlas creation across multiple modalities and scales
- Mathematical modeling and simulation of neuronal ensembles in brain networks
- Transcranial magnetic stimulation; focused ultrasound; other non-invasive modalities of experimental and therapeutic brain stimulation
- Image-guided brain surgery: ultrasound and MRI, tumor visualization
- Imaging and mathematical modeling of blood flow: cerebral hemodynamics; cerebrovascular contribution to fMRI; computational fluid dynamics
- Optical imaging of the brain for visualization of brain structure and function, combinatory techniques including optogenetics, ocular coherence tomography, fluorescence microscopy and neural recordings, brain clearing techniques; photoacoustic imaging
- Development of ocular imaging devices for corneal or retinal imaging; to aid in our understanding of diabetic retinopathy, age-related macular degeneration, glaucoma, keratoconus, and corneal refractive surgery
- Devices or technologies, for the imaging of ocular structures (adaptive optics, ocular coherence tomography, etc.)
- Development of new imaging techniques or adaptation of existing techniques for the detection of specific ocular disorders
- Development of image processing algorithms and related informatics for the enhancement of visualization and diagnosis of eye diseases
- Advancements to image-guided surgery in the eye
- Technology to measure or improve visual optics
- Technology to image and measure ocular perfusion, oxymetry, neurovascular coupling, and other functions
Shared Interests and Overlaps
There are shared interests with Biomedical Imaging Technology (BMIT) and Medical Imaging (MEDI), including: image acquisition and processing, functional MRI (fMRI), diffusion tensor imaging (DTI), etc. Applications in these areas working with human or animal models of neurological/brain disorders, especially in a multimodal fashion, are suitable for NOIT review.
There are shared interests with Bioengineering of Neuroscience, Vision and Low Vision Technologies (BNVT), including: invasive recordings for epilepsy, deep brain stimulation, etc. Applications in these areas working with MR imaging in a multimodal recording fashion are suitable for NOIT review.
There are shared interests with Clinical Molecular Imaging and Probe Development (CMIP), including: nanoprobe development and related chemistry. Applications in these areas focusing on blood brain barrier (BBB) crossing, related neurological themes, and PET tracer development, etc. are suitable for NOIT review.
There are shared interests with Modeling and Analysis of Biological Systems (MABS), including: mathematical modeling of neural circuits and pathways, computational neuroscience. Applications in these areas on a large or small scale, with inclusion of brain imaging data are suitable for NOIT review.
There are shared interests with Cellular and Molecular Technologies (CMT), including technology development for high-resolution visualization of brain anatomy. Applications in these areas with a strong focus on neurological disorders such as Alzheimer’s disease or a multimodal recording fashion are suitable for NOIT review.