You-Yin Chen

Prof. You-Yin Chen

National Yang Ming Chiao Tung University, Taipei, Taiwan
orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2013 in BioMedical Engineering OnLine
Verified
Journal Article
Open access
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Lun-De LiaoLun-De Liao
Lun-De Liao
VTVassiliy Tsytsarev
Vassiliy Tsytsarev
IDIgnacio Delgado-Martínez
Ignacio Delgado-Martínez
MLMeng-Lin Li
Meng-Lin Li
REReha Erzurumlu
Reha Erzurumlu
NTNitish Thakor
Nitish Thakor
Optical imaging techniques reflect different biochemical processes in the brain, which is closely related with neural activity. Scientists and clinicians employ a variety of optical imaging technologies to visualize and study the relationship between neurons, glial cells and blood vessels. In this paper, we present an overview of the current optical approaches used for the in vivo imaging of neurovascular coupling events in small animal models. These techniques include 2-photon microscopy, laser speckle contrast imaging (LSCI), voltage-sensitive dye imaging (VSDi), functional photoacoustic microscopy (fPAM), functional near-infrared spectroscopy imaging (fNIRS) and multimodal imaging techniques. The basic principles of each technique are described in detail, followed by examples of current applications from cutting-edge studies of cerebral neurovascular coupling functions and metabolic. Moreover, we provide a glimpse of the possible ways in which these techniques might be translated to human studies for clinical investigations of pathophysiology and disease. In vivo optical imaging techniques continue to expand and evolve, allowing us to discover fundamental basis of neurovascular coupling roles in cerebral physiology and pathophysiology.

11 March 2009 in Journal of Neuroscience
Verified
Journal Article
Open access
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YSYen-Yu I. Shih
Yen-Yu I. Shih
CCChiao-Chi V. Chen
Chiao-Chi V. Chen
BSBai-Chuang Shyu
Bai-Chuang Shyu
ZLZi-Jun Lin
Zi-Jun Lin
YCYun-Chen Chiang
Yun-Chen Chiang
CCChen Chang
Chen Chang
Functional magnetic resonance imaging (fMRI) has revolutionized investigations of brain functions. Increases in fMRI signals are usually correlated with neuronal activation, but diverse explanations have been proposed for negative fMRI responses, including decreases in neuronal activity, the vascular-steal effect, and large increases in oxygen consumption. These possible scenarios, although encompassing a wide range of potential neurovascular responses, cannot yet be used to interpret certain types of negative fMRI signals. Recent studies have found that intravenous injection of dopamine D2receptor (D2DR) agonist reduced the hemodynamic responses in the caudate–putamen (CPu); however, whether endogenous dopaminergic neurotransmission contributes to fMRI signals remains obscure. Since it has been suggested that the D2DR is involved in pain modulation, and the CPu shows equivocal fMRI signals during noxious stimulation, the present study established an animal model based on graded electrical stimulation to elicit different levels of nociception, and aimed to determine whether nociception-induced endogenous dopaminergic neurotransmission is sufficient to generate negative fMRI responses. Our results from cerebral blood volume (CBV)-weighted fMRI, Fos immunohistochemistry, and electrophysiological recording demonstrated a salient bilateral CBV decreases associated with heightened neuronal activity in the CPu induced by unilateral noxious electrical stimulation. In addition, preinjection of D2DR antagonist reduced the observed CBV decreases. Our findings reveal the role of the D2DR in regulating striatal vascular responses and suggest that endogenous neurotransmission-induced CBV decreases underlie negative fMRI signals. Hence, the influence of endogenous neurotransmission should be considered when interpreting fMRI data, especially in an area involved in strong vasoactive neurotransmission.

1 August 2009 in Journal of Neuroscience Methods
Verified
Journal Article
Closed access
YCYou-Yin Chen
You-Yin Chen
HLHsin-Yi Lai
Hsin-Yi Lai
SLSheng-Huang Lin
Sheng-Huang Lin
CCChien-Wen Cho
Chien-Wen Cho
WCWen-Hung Chao
Wen-Hung Chao
SLSi-Yue Lin
Si-Yue Lin

3 December 2014 in Advanced Materials
Verified
Journal Article
Closed access
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HHHsin‐Yang Huang
Hsin‐Yang Huang
HLHao‐Li Liu
Hao‐Li Liu
PHPo‐Hung Hsu
Po‐Hung Hsu
CCChih-Sheng Chiang
Chih-Sheng Chiang
CTChih‐Hung Tsai
Chih‐Hung Tsai
YCYou-Yin Chen
You-Yin Chen

1 November 2013 in Journal of Controlled Release
Verified
Journal Article
Closed access
HHHsin-Yang Huang
Hsin-Yang Huang
Shang-Hsiu HuShang-Hsiu Hu
Shang-Hsiu Hu
SHShih-Ya Hung
Shih-Ya Hung
CCChih-Sheng Chiang
Chih-Sheng Chiang
HLHao-Li Liu
Hao-Li Liu
San-Yuan ChenSan-Yuan Chen
San-Yuan Chen

10 April 2012 in Journal of Neural Engineering
Verified
Journal Article
Closed access
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HLHsin-Yi Lai
Hsin-Yi Lai
Lun-De LiaoLun-De Liao
Lun-De Liao
CLChin-Teng Lin
Chin-Teng Lin
JHJui-Hsiang Hsu
Jui-Hsiang Hsu
XHXin He
Xin He
YSYen-Yu I Shih
Yen-Yu I Shih
An implantable micromachined neural probe with multichannel electrode arrays for both neural signal recording and electrical stimulation was designed, simulated and experimentally validated for deep brain stimulation (DBS) applications. The developed probe has a rough three-dimensional microstructure on the electrode surface to maximize the electrode-tissue contact area. The flexible, polyimide-based microelectrode arrays were each composed of a long shaft (14.9 mm in length) and 16 electrodes (5 µm thick and with a diameter of 16 µm). The ability of these arrays to record and stimulate specific areas in a rat brain was evaluated. Moreover, we have developed a finite element model (FEM) applied to an electric field to evaluate the volume of tissue activated (VTA) by DBS as a function of the stimulation parameters. The signal-to-noise ratio ranged from 4.4 to 5 over a 50 day recording period, indicating that the laboratory-designed neural probe is reliable and may be used successfully for long-term recordings. The somatosensory evoked potential (SSEP) obtained by thalamic stimulations and in vivo electrode-electrolyte interface impedance measurements was stable for 50 days and demonstrated that the neural probe is feasible for long-term stimulation. A strongly linear (positive correlation) relationship was observed among the simulated VTA, the absolute value of the SSEP during the 200 ms post-stimulus period (ΣSSEP) and c-Fos expression, indicating that the simulated VTA has perfect sensitivity to predict the evoked responses (c-Fos expression). This laboratory-designed neural probe and its FEM simulation represent a simple, functionally effective technique for studying DBS and neural recordings in animal models.