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Dive into the research topics where Tianyi Yan is active.

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Featured researches published by Tianyi Yan.


Human Brain Mapping | 2012

Retinotopic mapping of the peripheral visual field to human visual cortex by functional magnetic resonance imaging.

Jinglong Wu; Tianyi Yan; Zhen Zhang; Fengzhe Jin; Qiyong Guo

Retinotopic mapping is a key property of organization in the human occipital cortex. The retinotopic organization of the central visual field of visual areas V1, V2, and V3 has been well established. We used fMRI to measure the retinotopic map of the peripheral visual field (eccentricity up to 60°). We estimated the sizes of the visual areas between 0° and 60° and obtained results consistent with anatomical studies. We also estimated the cortical distances and magnification factors for reconstruction of the retinotopic map using the peripheral wedge dipole model. By comparing the retinotopic map with the flattened surface, we analyzed the datasets used to reconstruct the map. We found that: (1) the percentage of the striate cortex devoted to peripheral vision in humans is significantly larger than that in the macaque, (2) the estimate of the scaling factor in linear magnification is larger than that found in previous studies focusing on central vision, and (3) the estimate of the peripheral factor in the dipolar model is too large to make the curve direction of the dipolar map in the periphery equivalent to that in the center. On the basis of our results, we revised the dipolar map to fit our conditions. The revised map in humans has a similar elliptical shape to that of macaques, and the central parts of the two species are the same. The different parts of the map are the peripheral regions, for which the peripheral wedge dipole model in humans is reversed compared to that of macaques. Hum Brain Mapp, 2012.


Journal of Magnetic Resonance Imaging | 2011

Development of a wide-view visual presentation system for visual retinotopic mapping during functional MRI

Tianyi Yan; Fengzhe Jin; Jiping He; Jinglong Wu

To develop and validate the functionality of a novel wide‐view visual presentation system with a horizontal and vertical eccentricity angle of 60° for retinotopic mapping by functional MRI (fMRI).


PLOS ONE | 2013

Regional neural response differences in the determination of faces or houses positioned in a wide visual field.

Bin Wang; Tianyi Yan; Jinglong Wu; Kewei Chen; Satoshi Imajyo; Seiichiro Ohno; Susumu Kanazawa

In human visual cortex, the primary visual cortex (V1) is considered to be essential for visual information processing; the fusiform face area (FFA) and parahippocampal place area (PPA) are considered as face-selective region and places-selective region, respectively. Recently, a functional magnetic resonance imaging (fMRI) study showed that the neural activity ratios between V1 and FFA were constant as eccentricities increasing in central visual field. However, in wide visual field, the neural activity relationships between V1 and FFA or V1 and PPA are still unclear. In this work, using fMRI and wide-view present system, we tried to address this issue by measuring neural activities in V1, FFA and PPA for the images of faces and houses aligning in 4 eccentricities and 4 meridians. Then, we further calculated ratio relative to V1 (RRV1) as comparing the neural responses amplitudes in FFA or PPA with those in V1. We found V1, FFA, and PPA showed significant different neural activities to faces and houses in 3 dimensions of eccentricity, meridian, and region. Most importantly, the RRV1s in FFA and PPA also exhibited significant differences in 3 dimensions. In the dimension of eccentricity, both FFA and PPA showed smaller RRV1s at central position than those at peripheral positions. In meridian dimension, both FFA and PPA showed larger RRV1s at upper vertical positions than those at lower vertical positions. In the dimension of region, FFA had larger RRV1s than PPA. We proposed that these differential RRV1s indicated FFA and PPA might have different processing strategies for encoding the wide field visual information from V1. These different processing strategies might depend on the retinal position at which faces or houses are typically observed in daily life. We posited a role of experience in shaping the information processing strategies in the ventral visual cortex.


Frontiers in Aging Neuroscience | 2017

Decreased Complexity in Alzheimer's Disease: Resting-State fMRI Evidence of Brain Entropy Mapping

Bin Wang; Yan Niu; Liwen Miao; Rui Cao; Pengfei Yan; Hao Guo; Dandan Li; Yuxiang Guo; Tianyi Yan; Jinglong Wu; Jie Xiang; Hui Zhang

Alzheimers disease (AD) is a frequently observed, irreversible brain function disorder among elderly individuals. Resting-state functional magnetic resonance imaging (rs-fMRI) has been introduced as an alternative approach to assessing brain functional abnormalities in AD patients. However, alterations in the brain rs-fMRI signal complexities in mild cognitive impairment (MCI) and AD patients remain unclear. Here, we described the novel application of permutation entropy (PE) to investigate the abnormal complexity of rs-fMRI signals in MCI and AD patients. The rs-fMRI signals of 30 normal controls (NCs), 33 early MCI (EMCI), 32 late MCI (LMCI), and 29 AD patients were obtained from the Alzheimers disease Neuroimaging Initiative (ADNI) database. After preprocessing, whole-brain entropy maps of the four groups were extracted and subjected to Gaussian smoothing. We performed a one-way analysis of variance (ANOVA) on the brain entropy maps of the four groups. The results after adjusting for age and sex differences together revealed that the patients with AD exhibited lower complexity than did the MCI and NC controls. We found five clusters that exhibited significant differences and were distributed primarily in the occipital, frontal, and temporal lobes. The average PE of the five clusters exhibited a decreasing trend from MCI to AD. The AD group exhibited the least complexity. Additionally, the average PE of the five clusters was significantly positively correlated with the Mini-Mental State Examination (MMSE) scores and significantly negatively correlated with Functional Assessment Questionnaire (FAQ) scores and global Clinical Dementia Rating (CDR) scores in the patient groups. Significant correlations were also found between the PE and regional homogeneity (ReHo) in the patient groups. These results indicated that declines in PE might be related to changes in regional functional homogeneity in AD. These findings suggested that complexity analyses using PE in rs-fMRI signals can provide important information about the fMRI characteristics of cognitive impairments in MCI and AD.


Frontiers in Behavioral Neuroscience | 2017

Theta Oscillations Related to Orientation Recognition in Unattended Condition: A vMMN Study

Tianyi Yan; Yuan Feng; Tiantian Liu; Luyao Wang; Nan Mu; Xiaonan Dong; Zichuan Liu; Tianran Qin; Xiaoying Tang; Lun Zhao

Orientation is one of the important elements of objects that can influence visual processing. In this study, we examined whether changes in orientation could be detected automatically under unattended condition. Visual mismatch negativity (vMMN) was used to analyze this processing. In addition, we investigated the underlying neural oscillatory activity. Non-phase-locked spectral power was used to explore the specific frequency related to unexpected changes in orientation. The experiment consisted of standard (0° arrows) and deviant (90°/270° arrows) stimuli. Compared with standard stimuli, deviant stimuli elicited a larger N170 component (negative wave approximately 170 ms after the stimuli started) and a smaller P2 component (positive wave approximately 200 ms after the stimuli started). Furthermore, vMMN was obtained by subtracting the event-related potential (ERP) waveforms in response to standard stimuli from those elicited in response to deviant stimuli. According to the time–frequency analysis, deviant stimuli elicited enhanced band power compared with standard stimuli in the delta and theta bands. Compared with previous studies, we concluded that theta activity plays an important role in the generation of the vMMN induced by changes in orientation.


Oncotarget | 2016

Abnormal organization of white matter networks in patients with subjective cognitive decline and mild cognitive impairment

Xiaoni Wang; Yang Zeng; Guanqun Chen; Yi-He Zhang; Xuanyu Li; Xu-Yang Hao; Yang Yu; Meng Zhang; Can Sheng; Yuxia Li; Yu Sun; Hongyan Li; Yang Song; Kuncheng Li; Tianyi Yan; Xiao-Ying Tang; Ying Han

Network analysis has been widely used in studying Alzheimers disease (AD). However, how the white matter network changes in cognitive impaired patients with subjective cognitive decline (SCD) (a symptom emerging during early stage of AD) and amnestic mild cognitive impairment (aMCI) (a pre-dementia stage of AD) is still unclear. Here, structural networks were constructed respectively based on FA and FN for 36 normal controls, 21 SCD patients, and 33 aMCI patients by diffusion tensor imaging and graph theory. Significantly lower efficiency was found in aMCI patients than normal controls (NC). Though not significant, the values in those with SCD were intermediate between aMCI and NC. In addition, our results showed significantly altered betweenness centrality located in right precuneus, calcarine, putamen, and left anterior cingulate in aMCI patients. Furthermore, association was found between network metrics and cognitive impairment. Our study suggests that the structural network properties might be preserved in SCD stage and disrupted in aMCI stage, which may provide novel insights into pathological mechanisms of AD.


international conference on complex medical engineering | 2013

A dry electrode based headband voice brain-computer interface device

Yaqi Yan; Nan Mu; Difei Duan; Linguo Dong; Xiaoying Tang; Tianyi Yan

A new portable brain-computer interface (BCI) system for the inner ideas expressing by voice is designed and fabricated in this paper, The dry electrode is used in this system to record ElectroencephaloFaphy (EEG), and it is fabricated using the standard micromachining techniques. Compared with previous designs, our system has features of light weight and convenient carrying. The system is mainly divided into three parts: signal acquisition, signal processing, and output control. The EEG signal is recorded by the dry electrode, and then amplified, processed successively by the application specific integrate circuit (ASIC), and the obtained processed signal can be used to control the external output equipment. A subjects attention amplitude can be nicely captured with our system, and the subjects could have the ability to express our real feeling through the EEG signal after training.


Brain Informatics | 2009

Correlated size variations measured in human visual cortex V1/V2/V3 with functional MRI

Tianyi Yan; Fengzhe Jin; Jinglong Wu

The retinotopic characteristics on human peripheral vision are still not well known. The position, surface area and visual field representation of human visual areas V1, V2 and V3 were measured using fMRI in 8 subjects (16 hemispheres). Cortical visual field maps of the 120deg were measured using rotating wedge and expanding ring stimuli. The boundaries between areas were identified using an automated procedure to fit an atlas of the expected visual field map to the data. All position and surface area measurements were made along the boundary between white matter and gray matter. In this study, we developed a new visual presentation system widest view (60 deg of eccentricity). The wide-view visual presentation system was made from nonmagnetic optical fibers and a contact lens, so can use in general clinical fMRI condition and the cost is lower. We used the newly wide view visual presentation system, the representation of the visual field in areas V1, V2 and V3 spans about 2223 mm∧2,1679 mm∧2 and 1690 mm∧2.


Frontiers in Aging Neuroscience | 2017

Beta-Band Functional Connectivity Influences Audiovisual Integration in Older Age: An EEG Study

Luyao Wang; Wenhui Wang; Tianyi Yan; Jiayong Song; Weiping Yang; Bin Wang; Ritsu Go; Qiang Huang; Jinglong Wu

Audiovisual integration occurs frequently and has been shown to exhibit age-related differences via behavior experiments or time-frequency analyses. In the present study, we examined whether functional connectivity influences audiovisual integration during normal aging. Visual, auditory, and audiovisual stimuli were randomly presented peripherally; during this time, participants were asked to respond immediately to the target stimulus. Electroencephalography recordings captured visual, auditory, and audiovisual processing in 12 old (60–78 years) and 12 young (22–28 years) male adults. For non-target stimuli, we focused on alpha (8–13 Hz), beta (13–30 Hz), and gamma (30–50 Hz) bands. We applied the Phase Lag Index to study the dynamics of functional connectivity. Then, the network topology parameters, which included the clustering coefficient, path length, small-worldness global efficiency, local efficiency and degree, were calculated for each condition. For the target stimulus, a race model was used to analyze the response time. Then, a Pearson correlation was used to test the relationship between each network topology parameters and response time. The results showed that old adults activated stronger connections during audiovisual processing in the beta band. The relationship between network topology parameters and the performance of audiovisual integration was detected only in old adults. Thus, we concluded that old adults who have a higher load during audiovisual integration need more cognitive resources. Furthermore, increased beta band functional connectivity influences the performance of audiovisual integration during normal aging.


Frontiers in Human Neuroscience | 2016

Neural Responses to Central and Peripheral Objects in the Lateral Occipital Cortex.

Bin Wang; Jiayue Guo; Tianyi Yan; Seiichiro Ohno; Susumu Kanazawa; Qiang Huang; Jinglong Wu

Human object recognition and classification depend on the retinal location where the object is presented and decrease as eccentricity increases. The lateral occipital complex (LOC) is thought to be preferentially involved in the processing of objects, and its neural responses exhibit category biases to objects presented in the central visual field. However, the nature of LOC neural responses to central and peripheral objects remains largely unclear. In the present study, we used functional magnetic resonance imaging (fMRI) and a wide-view presentation system to investigate neural responses to four categories of objects (faces, houses, animals, and cars) in the primary visual cortex (V1) and the lateral visual cortex, including the LOC and the retinotopic areas LO-1 and LO-2. In these regions, the neural responses to objects decreased as the distance between the location of presentation and center fixation increased, which is consistent with the diminished perceptual ability that was found for peripherally presented images. The LOC and LO-2 exhibited significantly positive neural responses to all eccentricities (0–55°), but LO-1 exhibited significantly positive responses only to central eccentricities (0–22°). By measuring the ratio relative to V1 (RRV1), we further demonstrated that eccentricity, category and the interaction between them significantly affected neural processing in these regions. LOC, LO-1, and LO-2 exhibited larger RRV1s when stimuli were presented at an eccentricity of 0° compared to when they were presented at the greater eccentricities. In LOC and LO-2, the RRV1s for images of faces, animals and cars showed an increasing trend when the images were presented at eccentricities of 11 to 33°. However, the RRV1s for houses showed a decreasing trend in LO-1 and no difference in the LOC and LO-2. We hypothesize, that when houses and the images in the other categories were presented in the peripheral visual field, they were processed via different strategies in the lateral visual cortex.

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Jinglong Wu

Beijing Institute of Technology

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Qiang Huang

Beijing Institute of Technology

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Xiujun Li

Changchun University of Science and Technology

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Chunlin Li

Capital Medical University

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Lun Zhao

Beijing Normal University

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Luyao Wang

Beijing Institute of Technology

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Nan Mu

Beijing Institute of Technology

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