Fernandez Rojas Raul, Hernandez-Juarez Jesus
Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:2550-2553. doi: 10.1109/EMBC.2017.8037377.
Physiological fluctuations are commonly present in functional studies of hemodynamic response such as functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS). However, the effects of these signals in neural mechanisms are not fully understood. Thus, the aim of this study is to propose that frequency-specific networks exist in the somatosensory region within the frequency range of physiological fluctuations. We used a wavelet coherence approach to identify functional connectivity between cortical regions. Based on the spectral response, four frequency bands were identified: cardiac (0.8-1.5 Hz), respiration (0.16-0.6 Hz), low frequency oscillations (LFO) (0.04-0.15 Hz), and very low frequency oscillations (VLFO) (0.0130.04 Hz). Eight cortical networks were revealed after ipsilateral and contralateral analysis to evaluate connectivity in each frequency band. The ANOVA analysis proved the adequacy of the connectivity map for all frequencies bands. Finally, these findings suggest possible frequency-specific organizations within the frequency bands of physiological fluctuations in the resting human brain.
生理波动在诸如功能磁共振成像(fMRI)和功能近红外光谱(fNIRS)等血流动力学反应的功能研究中普遍存在。然而,这些信号在神经机制中的作用尚未完全明确。因此,本研究的目的是提出在生理波动频率范围内体感区域存在频率特异性网络。我们使用小波相干方法来识别皮质区域之间的功能连接。基于频谱响应,确定了四个频段:心脏频段(0.8 - 1.5Hz)、呼吸频段(0.16 - 0.6Hz)、低频振荡(LFO)频段(0.04 - 0.15Hz)和极低频振荡(VLFO)频段(0.013 - 0.04Hz)。在进行同侧和对侧分析以评估每个频段的连接性后,揭示了八个皮质网络。方差分析证明了所有频段连接性图谱的充分性。最后,这些发现表明在静息人脑生理波动频段内可能存在频率特异性组织。