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Flexible circuit-based spatially aware modular optical brain imaging system for high-density measurements in natural settings.
Xu, Edward; Vanegas, Morris; Mireles, Miguel; Dementyev, Artem; McCann, Ashlyn; Yücel, Meryem; Carp, Stefan; Fang, Qianqian.
Afiliación
  • Xu E; Northeastern University, Department of Bioengineering, Boston, Massachusetts, United States.
  • Vanegas M; Northeastern University, Department of Bioengineering, Boston, Massachusetts, United States.
  • Mireles M; Northeastern University, Department of Bioengineering, Boston, Massachusetts, United States.
  • Dementyev A; Massachusetts Institute of Technology, Media Lab, Cambridge, Massachusetts, United States.
  • McCann A; Northeastern University, Department of Bioengineering, Boston, Massachusetts, United States.
  • Yücel M; Boston University, Neurophotonics Center, Boston, Massachusetts, United States.
  • Carp S; Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Boston, Massachusetts, United States.
  • Fang Q; Northeastern University, Department of Bioengineering, Boston, Massachusetts, United States.
Neurophotonics ; 11(3): 035002, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38975286
ABSTRACT

Significance:

Functional near-infrared spectroscopy (fNIRS) presents an opportunity to study human brains in everyday activities and environments. However, achieving robust measurements under such dynamic conditions remains a significant challenge.

Aim:

The modular optical brain imaging (MOBI) system is designed to enhance optode-to-scalp coupling and provide a real-time probe three-dimensional (3D) shape estimation to improve the use of fNIRS in everyday conditions.

Approach:

The MOBI system utilizes a bendable and lightweight modular circuit-board design to enhance probe conformity to head surfaces and comfort for long-term wearability. Combined with automatic module connection recognition, the built-in orientation sensors on each module can be used to estimate optode 3D positions in real time to enable advanced tomographic data analysis and motion tracking.

Results:

Optical characterization of the MOBI detector reports a noise equivalence power of 8.9 and 7.3 pW / Hz at 735 and 850 nm, respectively, with a dynamic range of 88 dB. The 3D optode shape acquisition yields an average error of 4.2 mm across 25 optodes in a phantom test compared with positions acquired from a digitizer. Results for initial in vivo validations, including a cuff occlusion and a finger-tapping test, are also provided.

Conclusions:

To the best of our knowledge, the MOBI system is the first modular fNIRS system featuring fully flexible circuit boards. The self-organizing module sensor network and automatic 3D optode position acquisition, combined with lightweight modules ( 18 g / module ) and ergonomic designs, would greatly aid emerging explorations of brain function in naturalistic settings.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Neurophotonics Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Neurophotonics Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos