During the past cycles of this P41, this project has been primarily focused on the development and dissemination of continuous-wave near infrared spectroscopy (CW-NIRS) for functional brain imaging in humans. We have commercialized instrumentation, distributed open source code for analyzing CW-NIRS data that has been downloaded by more than 1000 unique users, ran numerous training workshops, supported a number of service users in varied capacities, and founded the Functional Near Infrared Spectroscopy Society. This technology continues to mature and experience exponential growth, and we will continue to support service users under this P41. However, our new aims for technology research and development for this competitive renewal depart from CW-NIRS. This reflects the growing driving forces arising from our collaborative projects pushing us to develop novel optical methods to address questions that cannot be addressed by CW-NIRS. While CW-NIRS excels at imaging changes in hemoglobin concentrations within the brain, it cannot quantify baseline hemoglobin concentrations (as can be done by Time Domain NIRS), nor does it provide a direct measure of blood flow (as provided by Diffuse Correlation Spectroscopy). The ability to measure these hemodynamic parameters is important for a number of applications including ensuring sufficient oxygen delivery to the brain following brain injury (CP Franceschini), during epileptic seizures (CP Stufflebeam), and during anesthesia (CP Brown). By combining measurements of oxygenated and deoxygenated hemoglobin with measurements of blood flow, we can estimate the cerebral metabolic rate of oxygen (CMRO2), a measure of energy metabolism within the brain. This is important for understanding the severity of brain injury and the response to therapy (CP Franceschini), the metabolic impact of epileptic seizures (CP Stufflebeam), and the depth of anesthesia (CP Brown). In addition, reduced cerebral energy metabolism in the dorso-lateral prefrontal cortex has been observed by PET in depression and shown to normalize during therapy [Mayberg2000, Dougherty2003]. An all-optical method that can be used in an office without the need for radio nucleotides would enable more Wide spread investigation of the pathophysiology of depression and potentially provide an early indicator of treatment efficacy (CP Haber). In parallel with advancing novel methods for non-invasive optical spectroscopy and imaging of humans, our lab has a history of developing optical microscopy methods for studying the brain [Sakadzic2010, Srinivasan2011, Lee2013]. Responding to the significant need of TRD 1 to support collaborative projects (CPs Milad, Haber, Mayberg) in depression and anxiety disorders, we've been utilizing Optical Coherence Tomography (OCT) to provide histology grade images from block face tissue samples. The block face images provide cytoarchitectural boundaries with 10's pm resolution that are easily registered with the MRI images to train segmentation algorithms (TRD 1) to then support these CPs. This overcomes the significant challenges presented by standard histology in registering with MRI for training segmentation algorithms.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
5P41EB015896-19
Application #
9480564
Study Section
Special Emphasis Panel (ZEB1)
Program Officer
Liu, Guoying
Project Start
Project End
Budget Start
2017-06-01
Budget End
2018-05-31
Support Year
19
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02114
Dinh, Christoph; Esch, Lorenz; Rühle, Johannes et al. (2018) Real-Time Clustered Multiple Signal Classification (RTC-MUSIC). Brain Topogr 31:125-128
Sitnikova, Tatiana A; Hughes, Jeremy W; Ahlfors, Seppo P et al. (2018) Short timescale abnormalities in the states of spontaneous synchrony in the functional neural networks in Alzheimer's disease. Neuroimage Clin 20:128-152
Greve, Douglas N; Fischl, Bruce (2018) False positive rates in surface-based anatomical analysis. Neuroimage 171:6-14
Racine, Annie M; Brickhouse, Michael; Wolk, David A et al. (2018) The personalized Alzheimer's disease cortical thickness index predicts likely pathology and clinical progression in mild cognitive impairment. Alzheimers Dement (Amst) 10:301-310
Nasr, Shahin; Tootell, Roger B H (2018) Columnar organization of mid-spectral and end-spectral hue preferences in human visual cortex. Neuroimage 181:748-759
Wu, Jianxiao; Ngo, Gia H; Greve, Douglas et al. (2018) Accurate nonlinear mapping between MNI volumetric and FreeSurfer surface coordinate systems. Hum Brain Mapp :
Aganj, Iman (2018) Automatic Verification of the Gradient Table in Diffusion-Weighted MRI Based on Fiber Continuity. Sci Rep 8:16541
Tanaka, Naoaki; Papadelis, Christos; Tamilia, Eleonora et al. (2018) Magnetoencephalographic Spike Analysis in Patients With Focal Cortical Dysplasia: What Defines a ""Dipole Cluster""? Pediatr Neurol 83:25-31
Polimeni, Jonathan R; Uluda?, Kâmil (2018) Neuroimaging with ultra-high field MRI: Present and future. Neuroimage 168:1-6
Fischl, Bruce; Sereno, Martin I (2018) Microstructural parcellation of the human brain. Neuroimage 182:219-231

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