Applications of functional Near Infrared Spectroscopy as a Brain Optical Imaging Modality for Rehabilitation

被引:4
作者
An, Jinung [1 ]
Lee, Seung Hyun [1 ]
Lee, Yoo Jung [1 ]
Jin, Sang Hyeon [1 ]
Jang, Gwanghee [1 ]
机构
[1] DGIST, Robot Res Div, Daegu, South Korea
来源
PROCEEDINGS OF 2014 INTERNATIONAL SYMPOSIUM ON OPTOMECHATRONIC TECHNOLOGIES (ISOT) | 2014年
关键词
fNIRS; Optical Brain Imaging; Rehabilitation; Brain-computer interface (BCI); Neuroimaging; CORTICAL ACTIVATION; FRONTAL-CORTEX; STROKE; GAIT; PERFORMANCE; RECOVERY; HUMANS;
D O I
10.1109/ISOT.2014.21
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A functional near-infrared spectroscopy (fNIRS) -which is a non-invasive modality to measure hemodynamics of cortices-is today the frequently reported optical brain imaging method for rehabilitation. Neuroimaging studies such as with functional magnetic resonance imaging (fMRI) or positron emission tomography (PET) have been very confined due to a motion limitation of subject at their measuring facilities. But fNIRS can be quite suitable to study in the motor function task because it can measure brain activations on allowing subject's motion. The purpose of this paper is to provide a comprehensive approach for optimal strategies of motor rehabilitation. First, we will introduce the general information of fNIRS and the applications of fNIRS in rehabilitation tasks and effects are reviewed in this field so far. And we showed a feasibility study conducted to explore the experience of fNIRS in several motor executions and fNIRS integrated brain computer interaction. Finally, we provide a brief discussion of suggestions for fNIRS in rehabilitation. fNIRS is still a new technique in stroke rehabilitation, this review and our preliminary studies indicate that brain imaging using fNIRS has great potential to provide finding of brain function and organization under various motor recovery rehabilitation tasks after stroke.
引用
收藏
页码:50 / 56
页数:7
相关论文
共 35 条
[1]   Classification of frontal cortex haemodynamic responses during cognitive tasks using wavelet transforms and machine learning algorithms [J].
Abibullaev, Berdakh ;
An, Jinung .
MEDICAL ENGINEERING & PHYSICS, 2012, 34 (10) :1394-1410
[2]  
An J. U., 2013, 35 ANN INT C IEEE EN
[3]  
An J. U., 2013, 6 INT IEEE EMBS C NE
[4]  
An J. U., IEEE BCI WORKSH 2013
[5]   Cortical brain imaging by adaptive filtering of NIRS signals [J].
Aqil, Muhammad ;
Hong, Keum-Shik ;
Jeong, Myung-Yung ;
Ge, Shuzhi Sam .
NEUROSCIENCE LETTERS, 2012, 514 (01) :35-41
[6]   Applications of Functional Near-Infrared Spectroscopy (fNIRS) to neurorehabilitation of cognitive disabilities [J].
Arenth, Patricia M. ;
Ricker, Joseph H. ;
Schultheis, Maria T. .
CLINICAL NEUROPSYCHOLOGIST, 2007, 21 (01) :38-57
[7]   Functional neuroimaging studies of motor recovery after stroke in adults - A review [J].
Calautti, C ;
Baron, JC .
STROKE, 2003, 34 (06) :1553-1566
[8]   SYSTEM FOR LONG-TERM MEASUREMENT OF CEREBRAL BLOOD AND TISSUE OXYGENATION ON NEWBORN-INFANTS BY NEAR-INFRARED TRANS-ILLUMINATION [J].
COPE, M ;
DELPY, DT .
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1988, 26 (03) :289-294
[9]   Brain-computer interface using a simplified functional near-infrared spectroscopy system [J].
Coyle, Shirley M. ;
Ward, Tomas E. ;
Markham, Charles M. .
JOURNAL OF NEURAL ENGINEERING, 2007, 4 (03) :219-226
[10]   Enhanced performance by a hybrid NIRS-EEG brain computer interface [J].
Fazli, Siamac ;
Mehnert, Jan ;
Steinbrink, Jens ;
Curio, Gabriel ;
Villringer, Arno ;
Mueller, Klaus-Robert ;
Blankertz, Benjamin .
NEUROIMAGE, 2012, 59 (01) :519-529