Award Abstract # 2137255
IUCRC Phase II: Building Reliable Advances and Innovations in Neurotechnology (BRAIN)

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: UNIVERSITY OF HOUSTON SYSTEM
Initial Amendment Date: April 17, 2022
Latest Amendment Date: July 27, 2024
Award Number: 2137255
Award Instrument: Continuing Grant
Program Manager: Mohan Kumar
mokumar@nsf.gov
 (703)292-7408
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: July 1, 2022
End Date: December 31, 2027 (Estimated)
Total Intended Award Amount: $758,331.00
Total Awarded Amount to Date: $971,310.00
Funds Obligated to Date: FY 2022 = $154,360.00
FY 2023 = $382,670.00

FY 2024 = $434,280.00
History of Investigator:
  • Jose Contreras-Vidal (Principal Investigator)
    jlcontreras-vidal@uh.edu
Recipient Sponsored Research Office: University of Houston
4300 MARTIN LUTHER KING BLVD
HOUSTON
TX  US  77204-3067
(713)743-5773
Sponsor Congressional District: 18
Primary Place of Performance: University of Houston
4800 Calhoun Boulevard
Houston
TX  US  77204-2015
Primary Place of Performance
Congressional District:
18
Unique Entity Identifier (UEI): QKWEF8XLMTT3
Parent UEI:
NSF Program(s): EFRI Research Projects,
Special Projects - CNS,
IUCRC-Indust-Univ Coop Res Ctr
Primary Program Source: 01002223DB NSF RESEARCH & RELATED ACTIVIT
01002324DB NSF RESEARCH & RELATED ACTIVIT

01002425DB NSF RESEARCH & RELATED ACTIVIT

01002526DB NSF RESEARCH & RELATED ACTIVIT

01002627DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 5761, 130Z, 9102, 9178, 9251
Program Element Code(s): 763300, 171400, 576100
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041, 47.070

ABSTRACT

Disability is becoming a leading cause of healthcare concern because of the increase in survivable trauma and an aging population. Millions of adults live with neurological disorders, brain injury, mental illness, limb loss or paralysis. There is a need for accessible technologies that can more effectively address the care and rehabilitation needs of these patients. However, innovation in neurotechnology faces several challenges: The pace of innovation exceeds the rate of evaluation for acceptable performance; standards for the validation of safety, efficacy, and reliability of neurotechnology are lagging; current technologies are costly, limiting their deployment for treatment of disabilities; and the need to train new generations of physicians and engineers in emerging technologies steadily increases.

The Industry-University Cooperative Research Center for Building Reliable Advances and Innovations in Neurotechnology (IUCRC BRAIN) will address the above challenges. The Center?s vision is built on a convergent research approach to the design and validation of reliable, ethical, patient-centered neurotechnologies and their use in understanding neural systems. BRAIN leverages wide-ranging expertise from neural, cognitive and rehabilitation engineering to neurorobotics, neuromodulation, and ethical artificial intelligence to enhance the rate of development and empirical validation of new neurotechnologies through partnerships with industry and other strategic partners while developing a highly skilled workforce; evaluating the impact of these technologies on quality of life; and integrating knowledge across disciplines ?such as the humanities with neurotechnologies ? to understand collective intelligence, and augment physical and cognitive capabilities.

The Center?s mission is multifold: to accelerate the progress of science and advance the national health by transferring neurotechnology to end users and to promote access for underrepresented minorities in science, technology, engineering, and math by broadening new participation and retaining current participants. BRAIN will address problems in the neurological space that disproportionately affect underrepresented groups. BRAIN will become a neurotechnology hub by creating a pipeline from discoveries to solutions, while helping students, scientists, and engineers solve one of the greatest unmet medical and health care needs of our time.

The University of Houston Site ? a Hispanic-Serving Institution and the Lead Site for the Center ? will focus on multi-scale, multi-modal, and trans-disciplinary approaches to advance our understanding of neural function and translate discoveries to create neurotechnology for diagnostics, neurorehabilitation, and improving the human condition. The Center will maintain a project repository (https://nsfbrain.org/) comprised of products and services for 10 years after the completion of this project.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Craik, Alexander and González-España, Juan José and Alamir, Ayman and Edquilang, David and Wong, Sarah and Sánchez Rodríguez, Lianne and Feng, Jeff and Francisco, Gerard E. and Contreras-Vidal, Jose L. "Design and Validation of a Low-Cost Mobile EEG-Based BrainComputer Interface" Sensors , v.23 , 2023 https://doi.org/10.3390/s23135930 Citation Details
Ferrero, Laura and Quiles, V and Soriano-Segura, P and Ortiz, Mario and Iáñez, Eduardo and Contreras-Vidal, Jose L and Azorin, Jose M "Title Transfer Learning with CNN Models for Brain-Machine Interfaces to command lower-limb exoskeletons: A Solution for Limited Data Page" Annual International Conference of the IEEE Engineering in Medicine & Biology Conference , v.2023 , 2023 https://doi.org/10.1109/EMBC40787.2023.10340653 Citation Details
Ferrero, Laura and Soriano-Segura, Paula and Navarro, Jacobo and Jones, Oscar and Ortiz, Mario and Iáñez, Eduardo and Azorín, José M and Contreras-Vidal, José L "Brainmachine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study" Journal of NeuroEngineering and Rehabilitation , v.21 , 2024 https://doi.org/10.1186/s12984-024-01342-9 Citation Details
Gonzalez-Espana, Jose J. and Craik, Alexander and Ramirez, Carolina and Alamir, Ayman and and Contreras-Vidal, Jose "Optimization of Electrode Configuration for the Removal of Eye Artifacts with Adaptive Noise Cancellation" 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) , 2023 Citation Details
González-España, Juan and Lianne Sánchez-Rodríguez, Liana and Craik, Alexander and Wong, Sarah and Feng, Jeff and and Contreras-Vidal, Jose "Brain-eNet: Towards an Enabling Technology for BCI-IoT Systems" 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) , 2023 Citation Details
Gorniak, Stacey L and Wagner, Victoria E and Vaughn, Kelly and Perry, Jonathan and Cox, Lauren Gulley and Hibino, Hidetaka and Montero-Hernandez, Samuel A and Hernandez, Arturo E and Pollonini, Luca "Functional near infrared spectroscopy detects cortical activation changes concurrent with memory loss in postmenopausal women with Type II Diabetes" Experimental Brain Research , v.241 , 2023 https://doi.org/10.1007/s00221-023-06581-1 Citation Details
Montero-Hernandez, Samuel and Pollonini, Luca and Park, Lindsey and Martorella, Geraldine and Miao, Hongyu and Mathis, Kenneth B and Ahn, Hyochol "Self-administered transcranial direct current stimulation treatment of knee osteoarthritis alters pain-related fNIRS connectivity networks" Neurophotonics , v.10 , 2023 https://doi.org/10.1117/1.NPh.10.1.015011 Citation Details
Ramírez-Moreno, Mauricio A and Cruz-Garza, Jesús G and Acharya, Akanksha and Chatufale, Girija and Witt, Woody and Gelok, Dan and Reza, Guillermo and Contreras-Vidal, José L "Brain-to-brain communication during musical improvisation: a performance case study" F1000Research , v.11 , 2023 https://doi.org/10.12688/f1000research.123515.4 Citation Details

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