Xiuyuan Wang

ORCID: 0000-0001-6356-3386
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About
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Research Areas
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Neural dynamics and brain function
  • Cerebrospinal fluid and hydrocephalus
  • Medical Imaging Techniques and Applications
  • Agronomic Practices and Intercropping Systems
  • Legume Nitrogen Fixing Symbiosis
  • Neuroscience and Neuropharmacology Research
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Cerebrovascular and Carotid Artery Diseases
  • Neural and Behavioral Psychology Studies
  • Remote Sensing and Land Use
  • Neuroscience and Neural Engineering
  • Neurological Disease Mechanisms and Treatments
  • Fetal and Pediatric Neurological Disorders
  • Barrier Structure and Function Studies
  • Hypothalamic control of reproductive hormones
  • Agroforestry and silvopastoral systems
  • MRI in cancer diagnosis
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Advanced Vision and Imaging
  • Epilepsy research and treatment
  • Attention Deficit Hyperactivity Disorder

Cornell University
2021-2025

Liaocheng University
2020-2024

Weill Cornell Medicine
2021-2024

Zhejiang University
2023-2024

MIND Research Institute
2024

Shihezi University
2022-2023

Hunan Agricultural University
2023

Chinese Academy of Agricultural Sciences
2023

Hong Kong Polytechnic University
2020-2023

NYU Langone Health
2020-2023

Transcranial electric stimulation aims to stimulate the brain by applying weak electrical currents at scalp. However, magnitude and spatial distribution of fields in human are unknown. We measured potentials intracranially ten epilepsy patients estimated across entire leveraging calibrated current-flow models. When stimulating 2 mA, cortical reach 0.8 V/m, lower limit effectiveness animal studies. individual whole-head anatomy is considered, predicted field magnitudes correlate with recorded...

10.7554/elife.18834 article EN cc-by eLife 2017-02-07

Abstract Background In sporadic Alzheimer’s disease (AD), brain amyloid-beta (Aβ) deposition is believed to be a consequence of impaired Aβ clearance, but this relationship not well established in living humans. CSF major feature glymphatic clearance (BGC), has been shown abnormal AD murine models. MRI phase contrast and intrathecally delivered studies have reported reduced flow AD. Using PET tau tracer 18 F-THK5117, we previously that the ventricular was associated with elevated levels....

10.1186/s12987-022-00318-y article EN cc-by Fluids and Barriers of the CNS 2022-03-14

Intercropping is a breakthrough in land-use optimization. This work aimed to study the effects of intercropping patterns on growth, yield, root morphological characteristics, and interspecific competition maize soybean, as well provide reference for development soybean Northwest China. Three different cropping were designed: monocropping maize, maize-soybean intercropping. Agronomic traits, indicators such land equivalent ratio (LER), aggressivity (A), (CR), actual yield loss (AYL),...

10.3390/agriculture12070996 article EN cc-by Agriculture 2022-07-10

Diffusion tensor imaging along perivascular spaces (DTI-ALPS) is a novel MRI method for assessing brain interstitial fluid dynamics, potentially indexing glymphatic function. Failed clearance implicated in Alzheimer’s disease (AD) pathophysiology. We assessed the contribution of age and female sex (strong AD risk factors) to DTI-ALPS index healthy subjects. also first time effect head size. In accord with prior studies, we show reduced aging, men compared women. However, size may be major...

10.3233/adr-230143 article EN cc-by-nc Journal of Alzheimer s Disease Reports 2024-02-20

Stock movement prediction serves an important role in quantitative trading. Despite advances existing models that enhance stock by incorporating relations, these face two limitations, i.e., constructing either insufficient or static which fail to effectively capture the complex dynamic relations because such are influenced various factors ever-changing financial market. To tackle above we propose a novel model ECHO-GL based on derived from earnings calls. not only constructs comprehensive...

10.1609/aaai.v38i12.29305 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2024-03-24

Abnormalities in cortical structure are commonly observed children with dyslexia key regions of the "reading network." Whether alteration features reflects pathology inherent to or environmental influence (e.g., impoverished reading experience) remains unclear. To address this question, we compared MRI-derived metrics thickness (CT), surface area (SA), gray matter volume (GMV), and their lateralization across three different groups a historical diagnosis dyslexia, who varied current level....

10.1016/j.nicl.2014.11.005 article EN cc-by-nc-sa NeuroImage Clinical 2014-11-18

Summary Objective We assessed whether presurgical resting state functional magnetic resonance imaging (fMRI) provides information for distinguishing temporal lobe epilepsy (TLE) with mesial sclerosis (TLE‐MTS) from TLE without MTS (TLE‐noMTS). Methods Thirty‐four patients and 34 sex‐/age‐matched controls consented to a research protocol. status was confirmed by histologic evaluation of surgical tissue (TLE‐MTS = 16; TLE‐noMTS 18). The fractional amplitude low‐frequency fluctuations (fALFFs)...

10.1111/epi.13456 article EN Epilepsia 2016-07-04

Abstract Introduction Connectome analysis of the human brain's structural and functional architecture provides a unique opportunity to understand organization architecture. In previous studies, connectome fingerprinting using brain connectivity profiles as an individualized trait was able predict individual's neurocognitive performance from Human Project (HCP) datasets. Materials Methods present study, we extend (FC) (SC), identifying multiple relationships between behavioral traits...

10.1002/brb3.1647 article EN cc-by Brain and Behavior 2020-04-30

<h3>ABSTRACT</h3> <h3>BACKGROUND AND PURPOSE:</h3> Accurate identification of cerebral beta-amyloid (Aβ) accumulation is crucial for diagnosing Alzheimer's disease (AD) and determining eligibility anti-Aβ therapies. The Centiloid (CL) scale has emerged as a standardized method to harmonize Aβ positron emission tomography (PET) quantification across different tracers sites. We aimed evaluate the concordance between CL visual interpretation in cohort cognitively impaired (CI) unimpaired (CU)...

10.3174/ajnr.a8743 article EN American Journal of Neuroradiology 2025-03-18

Cerebrovascular reactivity (CVR) is a widely studied biomarker of cerebral hemodynamics, commonly used in risk stratification and treatment planning patients with steno-occlusive disease (SOD). Conventional use relies on normalization estimates to contralateral hemisphere reference values, which unsuitable for bilateral or indeterminate distributions disease. We report upon custom data-driven approach leveraging random forest classifiers (RFc) identify candidate voxels order facilitate...

10.3174/ajnr.a8813 article EN PubMed 2025-04-22

Individuals with copy number variants (CNV) in the 16p11.2 chromosomal region are at high risk for language disorders. We investigate whether extent and location of focal cortical anomalies associated impairment individuals CNVs. High-resolution T1-weighted MRI scans from 30 deletion (16p-del), 25 duplication (16p-dup), 90 noncarrier controls (NCC) were analyzed to derive personalized anomaly maps through single-case thickness (CT) comparison age-matched normative samples. Focal elevated...

10.1093/cercor/bhx143 article EN Cerebral Cortex 2017-05-20

Object detection plays an important role in autonomous driving, disaster rescue, robot navigation, intelligent video surveillance, and many other fields. Nonetheless, visible images are poor under weak illumination conditions, thermal infrared noisy have low resolution. Consequently, neither of these two data sources yields satisfactory results when used alone. While some scholars combined for object detection, most did not consider the conditions different contributions diverse to results....

10.3390/rs13183656 article EN cc-by Remote Sensing 2021-09-13

Large language model-based explainable recommendation (LLM-based ER) systems can provide remarkable human-like explanations and have widely received attention from researchers. However, the original LLM-based ER face three low-quality problems in their generated explanations, i.e., lack of personalization, inconsistency, questionable explanation data. To address these problems, we propose a novel model denoted as LLM2ER to serve backbone devise two innovative quality reward models for...

10.1609/aaai.v38i8.28777 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2024-03-24

Background: Blood-brain barrier (BBB) dysfunction is emerging as an important pathophysiologic factor in Alzheimer’s disease (AD). Cerebrospinal fluid (CSF) platelet-derived growth receptor-β (PDGFRβ) a biomarker of BBB pericyte injury and has been implicated cognitive impairment AD. Methods: We aimed to study CSF PDGFRβ protein levels, along with biomarkers brain amyloidosis tau pathology well-characterized population cognitively unimpaired individuals correlated findings amyloid-PET...

10.1097/wad.0000000000000623 article EN cc-by-nc-nd Alzheimer Disease & Associated Disorders 2024-05-16
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