Xin Xu

ORCID: 0000-0002-6196-2997
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About
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Research Areas
  • Neurological disorders and treatments
  • Dementia and Cognitive Impairment Research
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Parkinson's Disease Mechanisms and Treatments
  • Neuroscience and Neuropharmacology Research
  • EEG and Brain-Computer Interfaces
  • Neurological Disease Mechanisms and Treatments
  • Transcranial Magnetic Stimulation Studies
  • Mental Health Research Topics
  • Blood Pressure and Hypertension Studies
  • Alzheimer's disease research and treatments
  • Neurological Disorders and Treatments
  • Epilepsy research and treatment
  • Chronic Disease Management Strategies
  • Genetics and Neurodevelopmental Disorders
  • Genetic Neurodegenerative Diseases
  • Microtubule and mitosis dynamics
  • Vagus Nerve Stimulation Research
  • Botulinum Toxin and Related Neurological Disorders
  • Traditional Chinese Medicine Studies
  • Neural dynamics and brain function
  • Neurogenesis and neuroplasticity mechanisms
  • Cardiac Health and Mental Health
  • Video Surveillance and Tracking Methods

Chinese PLA General Hospital
2015-2025

Shandong Jianzhu University
2024

Second Affiliated Hospital of Zhejiang University
2021-2024

National University of Singapore
2015-2024

National University Health System
2016-2024

Zhejiang University
2019-2024

Henan Agricultural University
2023

West China Hospital of Sichuan University
2016-2023

Sichuan University
2016-2023

The Affiliated Yongchuan Hospital of Chongqing Medical University
2015-2022

Abstract Introduction Impact of white matter hyperintensities (WMH) on cognition likely depends lesion location, but a comprehensive map strategic locations is lacking. We aimed to identify these in large multicenter study. Methods Individual patient data (n = 3525) from 11 memory clinic cohorts were harmonized. determined the association WMH location with attention and executive functioning, information processing speed, language, verbal performance using voxel‐based region interest...

10.1002/alz.12827 article EN Alzheimer s & Dementia 2022-12-12

Over the years, several deep learning algorithms have been proposed for electroencephalography (EEG) signal classification. The performance of any method usually relies on quality learned representation that provides semantic information downstream tasks such as Thus, it is crucial to improve model's capability. This paper proposes an Efficient Temporal Network with dual self-distillation EEG classification, ETNEEG. It enhances by promoting mutual between higher-level and lower-level...

10.1109/bibm55620.2022.9995049 article EN 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2022-12-06

Grain count is crucial to wheat yield composition and estimating parameters. However, traditional manual counting methods are time-consuming labor-intensive. This study developed an advanced deep learning technique for the segmentation model of grains. has been rigorously tested on three distinct varieties: 'Bainong 307', 'Xinmai 26', 'Jimai 336', it achieved unprecedented predictive accuracy.The images ears were taken with a smartphone at late stage grain filling. We used image processing...

10.1186/s13007-023-01062-6 article EN cc-by Plant Methods 2023-08-01

Abstract INTRODUCTION White matter hyperintensities (WMH) are associated with key dementia etiologies, in particular arteriolosclerosis and amyloid pathology. We aimed to identify WMH locations vascular risk or cerebral amyloid‐β 1‐42 (Aβ42)‐positive status. METHODS Individual patient data ( n = 3,132; mean age 71.5 ± 9 years; 49.3% female) from 11 memory clinic cohorts were harmonized. volumes 28 regions related a compound score (VRCS) Aß42 status (based on cerebrospinal fluid positron...

10.1002/alz.13765 article EN cc-by Alzheimer s & Dementia 2024-03-13

Network-sensitive neuroimaging methods have been used to characterize large-scale brain network degeneration in Alzheimer's disease and its prodrome. However, few studies investigated the combined effect of cerebrovascular on degeneration. Our study sought examine intrinsic functional connectivity structural covariance changes 235 prodromal clinical patients with without disease. We focused particularly two higher-order cognitive networks-the default mode executive control network. found...

10.1093/brain/awx224 article EN cc-by-nc Brain 2017-08-11

OBJECT The degree of clinical improvement achieved by deep brain stimulation (DBS) is largely dependent on the accuracy lead placement. This study reports evaluation intraoperative MRI (iMRI) for adjusting deviated electrodes to accurate anatomical position during DBS surgery and acute intracranial changes. METHODS Two hundred six were implanted in subthalamic nucleus (STN) 110 patients with Parkinson disease. All underwent iMRI after implantation define Fifty-six electrode positions 35 from...

10.3171/2015.1.jns141534 article EN Journal of neurosurgery 2015-08-14

The neuroimaging literature provides compelling evidence for functional dysconnectivity in people with psychosis. However, it is likely that at least some of the observed alterations represent secondary effects illness chronicity and/or antipsychotic medication. In addition, extent to which these are specific psychosis or a transdiagnostic feature psychiatric remains unclear. aim this study was therefore examine diagnostic specificity drug-naïve first-episode (FEP). We used resting-state...

10.1038/npp.2016.247 article EN cc-by-nc-nd Neuropsychopharmacology 2016-10-26

Abstract Evidences suggested that both corpus callosum (CC) degeneration and alternations of homotopic inter-hemispheric functional connectivity (FC) are present in Alzheimer’s disease (AD). However, the associations between region-specific CC FC their relationships with memory deficits AD remain uncharacterized. We hypothesized selective is associated impairment amnestic mild cognitive (aMCI), which mediated by dysconnectivity. Using structural magnetic resonance imaging (MRI) task-free...

10.1038/srep32573 article EN cc-by Scientific Reports 2016-09-01

Patients with amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD) show functional structural connectivity alterations in the default mode network (DMN) while cerebrovascular (CeVD) shows changes executive control (ECN). Such disruptions are associated memory function impairment, respectively. Concurrent AD CeVD pathology is a higher rate of decline differential neurodegenerative patterns. Together, such findings likely reflective different underlying without CeVD. However,...

10.1186/s13195-018-0413-8 article EN cc-by Alzheimer s Research & Therapy 2018-08-18

OBJECTIVE Subthalamic nucleus deep brain stimulation (STN-DBS) for primary Meige syndrome has been increasingly reported in recent years. Despite the potential of this therapeutic approach, only a limited number studies have evaluated its clinical benefits. Moreover, efficacy STN-DBS varies among patients with syndrome, and stable prognostic predictors are scarce. In study, authors assessed effect explored reliable indicators to facilitate patient selection postoperative programming. METHODS...

10.3171/2024.12.jns241739 article EN Journal of neurosurgery 2025-03-01

Although genetic factors are considered a main etiology of epilepsy, the causes epilepsy in majority patients remain unknown. Kinesin family member 1A (KIF1A), neuron-specific motor protein that moves along with microtubules, is responsible for transport membranous organelles and synaptic vesicles. Variants KIF1A have recently been associated hereditary spastic paraplegia (HSP), sensory autonomic neuropathy type 2 (HSANII), intellectual disability. However, mutations not detected epilepsy....

10.3389/fgene.2020.00061 article EN cc-by Frontiers in Genetics 2020-02-26

Deep brain stimulation is a therapy for Alzheimer's disease (AD) that has previously been used mainly mild to moderate cases. This study provides the first evidence of early alterations in performance induced by targeted at fornix severe AD patients. The five cases enrolled this was scored with specialized assessments including Mini-Mental State Examination and Clinical Dementia Rating, both before an stage after deep stimulation. burden caregivers also evaluated using Zarit Caregiver Burden...

10.4103/1673-5374.241468 article EN cc-by-nc-sa Neural Regeneration Research 2018-01-01

Epilepsy is a serious neurological condition characterized by recurrent unprovoked seizures. The exact etiology of epilepsy not fully understood. Here, we demonstrated that the expression contactin-associated protein-like 4 (CNTNAP4) was decreased in temporal neocortex epileptic patients and hippocampus cortex mice. Lentivirus-mediated knock-down CNTNAP4 increased mice susceptibility to epilepsy. Conversely, lentivirus-mediated overexpression behavior affected neuronal excitability...

10.1093/cercor/bhx215 article EN Cerebral Cortex 2017-08-04

OBJECTIVE Primary Meige syndrome is characterized by blepharospasm and orofacial–cervical dystonia. Deep brain stimulation (DBS) recognized as an effective therapy for patients with this condition, but previous studies have focused on clinical effects. This study explored the predictors of outcome in who underwent DBS. METHODS Twenty DBS targeting bilateral subthalamic nucleus (STN) or globus pallidus internus (GPi) at Chinese People’s Liberation Army General Hospital from August 2013 to...

10.3171/2019.1.jns182555 article EN Journal of neurosurgery 2019-04-09

Cortical thickness has been suggested to be one of the most important markers cortical atrophy. In this study, we examined potential risk factors and its association with cognition in an elderly Asian population from Singapore. This is a cross-sectional study among 572 Chinese Malay patients ongoing Epidemiology Dementia Singapore (EDIS) Study, who underwent comprehensive examinations including neuropsychological testing brain magnetic resonance imaging (MRI). (in micrometers) was measured...

10.1097/md.0000000000000852 article EN cc-by-nc Medicine 2015-06-01

10.1007/s10846-022-01650-z article EN Journal of Intelligent & Robotic Systems 2022-06-01
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