Chinese Academy of Sciences

Tianzi Jiang

Xin Zhang

Nianming Zuo

Juanning Si

Jian Yu

Hao Liu

Liang Ma

Di Jiang

Yong Fan

Gangliang Zhong

Ruirui Zhao

Zhengyi Yang

Yujin Zhang

A neurovascular coupling analytical method based on an electroencephalogram and functional near-infrared spectroscopy includes: S: acquiring an electroencephalogram signal and a brain hemodynamic signal; S: extracting an event-related potential signal from the electroencephalogram signal; S: extracting a time characteristic from the event-related potential signal; S: extracting a hemodynamic response function from the brain hemodynamic signal; S: extracting an amplitude characteristic and time characteristics from the hemodynamic response function; and S: analyzing influence of the time characteristic of the event-related potential signal on the amplitude characteristic and the time characteristics of the hemodynamic response function to obtain a coupling result. The time characteristic of the event-related potential signal is a delay. The amplitude characteristic of the hemodynamic response function is a peak amplitude, and the time characteristics of the hemodynamic response function comprises a rising delay, a peak time, and a full width at half maximum.

Neurovascular coupling analytical method based on electroencephalogram and functional near-infrared spectroscopy

A non-contact brain blood oxygen detecting system includes a mobile terminal device. The mobile terminal device includes a control module, a transmitting module, a receiving module and a display module. The control module is connected to the transmitting module, the receiving module and the display module, respectively. The transmitting module in the mobile terminal device is configured to emit dual-wavelength near-infrared light to a detected subject. The receiving module is configured to receive a light signal after propagation fed back by the detected subject, and to perform data conversion on the received light signal to obtain a digital signal containing blood oxygen information. The control module is configured to obtain the blood oxygen information of the detected subject according to the digital signal obtained by the receiving module. The display module is configured to display the blood oxygen information obtained by the control module.

Non-contact brain blood oxygen detecting system

A method for generating a transcranial magnetic stimulation (TMS) coil pose atlas based on electromagnetic simulating calculation includes: constructing coil array positions and orientations of a scalp in a standard Montreal Neurological Institute (MNI) space and matching the coil array positions and orientations of the scalp to a brain space of an individual to obtain coil array positions and orientations of the brain space of the individual; using a finite element calculation method to simulate the coil array positions of the brain space of the individual to obtain induced electric field distributions of brain tissue in different coil orientations; obtaining optimal regulation effects based on the induced electric field distributions of the brain tissue; and obtaining a coil position and orientation corresponding to each optimal regulation effect as an optimal coil pose of each divided brain area of the individual, and constructing a TMS coil pose atlas of the individual.

Method for generating transcranial magnetic stimulation (TMS) coil pose atlas based on electromagnetic simulating calculation

A method and system for detecting brain activity may be disclosed, the method including performing multi-channel synchronous collections of brain electrical signals and cerebral cortex blood oxygen signals simultaneously and ensuring synchronicity of the collected signals among channels by collecting the signals at multiple locations simultaneously. A system may include a functional near-infrared light source emission module, which may employ the frequency division multiplexing technique. A multi-functional joint collection helmet may access the light source signal emitted from the emission module, then may be processed by a near-infrared detection module. Further, the near-infrared detection module may detect optical signals of the scalp, while a brain electricity detection module detects electrical signals of the scalp. Finally, a central control unit may synchronize data collected from the detected signals and may control a variety of functional modules and upload the data to a host computer.

Method and system for brain activity detection

A method for storing data of photoelectrically synchronous brain activity recording, said method comprising: generating data when a photoelectrically synchronous brain activity detection system is operating; generating from said data a data storage file comprising a basic information data segment, a near-infrared spectrum data segment and a brain electrical activity data segment, and sequentially storing said data segments into a .neg file in binary form according to the above order. The method can store comprehensive test information, flexibly configure the near-infrared and brain electrical measurement information, and realize synchronous storage of near-infrared data and brain electrical data and maintain file version compatibility.

Method for storing data of photoelectrically synchronous brain activity recording

A method for registering functional MRI data, comprising: computing the functional connectivity pattern for every voxel in its given spatial neighborhood for every fMRI image; extracting features invariant to spatial location of the neighboring voxels based on the functional connectivity patterns; constructing similarity metric between voxels of different images based on the extracted features, and using fluid-like demons registration model to spatial normalize the fMRI data. The present invention tries to exploit the multi-range functional connectivity information of the fMRI data, and to register functional MR images based on the extracted spatial-location-invariant features. The present invention is robust against local spatial perturbations and does not depend on the assumption that functional signals of different subjects are synchronic, hence can be applied to resting-state fMRI data, and can achieve a statistically significant improvement in functional consistency across subjects.

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Beijing, China

Tianzi Jiang