The full bibliography compiled from Xu Fan's CV: 104 journal articles (deduplicated) and 15 CV-listed software copyright registrations (listed as recorded).
RESEARCH TIMELINE · 2006—2026
Team academic timeline
Twenty-five research records, ordered by publication date as found in the materials. Three research digests give full introductions; the rest keep factual summaries and available source links; the full CV list continues below.
Team research updates present personal and collaborative work; paper acknowledgements only confirm professional-discussion credit; science visuals record image–paper relationships. None of this implies company R&D, funding or product capability.
Show all 25 research records
Yearly entries
Team research updatesCV entry only; see original record
Spinal cord injury cell transplantation: early bibliographic records
Chinese-language literature on progress of cell transplantation in spinal cord injury, listed here as a citation record.
Available evidence supports only the English CV entry; the journal link returned no matching record, so no research findings are added.
See the full CV entries below; current materials support bibliographic records only.
Entries & evidence scope
Xu F et al (2006) The progress of cell transplantation in spinal cord injury, J Sichuan Physiology,28(3),123-125(Chinese)
Entry P0246 · CV year 2006 · date basis cv_listed_year_only. Dates are shown at the precision (year/month/day) available.
No readable abstract is available; no conclusions are written from the title alone.
Yearly entries
Team research updatesCV entry only; see original record
Spinal cord injury modelling and neural function evaluation: early research clues
Chinese-language literature on spinal-cord-injury modelling and neural-function evaluation, listed here as a citation record.
Animal-model leads cannot replace human clinical evidence.
See the full CV entries below; current materials support bibliographic records only.
Entries & evidence scope
Xu F et al (2007) Establishment of spinal cord injury models and its evaluation of neural function after spinal cord injury ,J Trauma Surgery, 1:91-93 (Chinese)
Entry P0244 · CV year 2007 · date basis cv_listed_year_only. Dates are shown at the precision (year/month/day) available.
No readable abstract is available; no conclusions are written from the title alone.
Construction and validation of a systematic ethogram of Macaca fascicularis in a free enclosure.
Entry P0241 · CV year 2012 · date basis epub. Dates are shown at the precision (year/month/day) available.
Paper abstract (original)
Behavioral studies in non-human primates have become ideal models for further investigations into advanced cognitive function in humans. To date, there is no systematic ethogram of the cynomolgus monkey (Macaca fascicularis) in a free enclosure. In a field observation of 6012 subjects, 107 distinct behaviors of M. fascicularis were preliminarily described. 83 of these behaviors were then independently validated through a randomized cohort and classified into 12 behavioral categories. 53 of these behaviors were then selected to accurately reflect the daily mundane activity of the species in a free enclosure. These findings systematically document the behavior of M. fascicularis in a free enclosure for use in further investigations.
Publication date
Team research updatesPloS one
Depressive-like behaviour in socially isolated cynomolgus macaques
The study compared social isolation with added visual isolation in adult female macaques, observing graded depressive-like changes.
Animal depressive-like behaviour is not a human depression diagnosis; author order to be verified.
Depression-like behavioral phenotypes by social and social plus visual isolation in the adult female Macaca fascicularis.
Entry P0239 · CV year 2013 · date basis article_pub_date. Dates are shown at the precision (year/month/day) available.
Paper abstract (original)
Major depressive disorder (MDD) is a debilitating psychiatric mood disorder that affects millions of individuals globally. Our understanding of the biological basis of MDD is poor, and current treatments are ineffective in a significant proportion of cases. This current situation may relate to the dominant rodent animal models of depression, which possess translational limitations due to limited homologies with humans. Therefore, a more homologous primate model of depression is needed to advance investigation into the pathophysiological mechanisms underlying depression and to conduct pre-clinical therapeutic trials. Here, we report two convenient methods--social isolation and social plus visual isolation--which can be applied to construct a non-human primate model of depression in the adult female cynomolgus monkey (Macaca fascicularis). Both social and social plus visual isolation were shown to be effective in inducing depression-like behavior by significantly reducing socially dominant aggressive conflict behavior, communicative behavior, sexual behavior, and parental behavior. The addition of visual isolation produced more profound behavioral changes than social isolation alone by further reducing parental behavior and sexual behavior. Thus, the degree of behavioral pathology may be manipulated by the degree of isolation. These methods can be applied to construct a non-human primate model of depression in order to assess physiological, behavioral, and social phenomena in a controlled laboratory setting.
Publication date
Team research updatesPloS one
Mother–infant interaction and cynomolgus depressive-like behaviour
Blind behavioural coding compared depressive-like and healthy female macaques in a mother–infant setting.
Conclusions are limited to animals and observation settings; not to be written up as human emotional contagion.
The mutual influences between depressed Macaca fascicularis mothers and their infants.
Entry P0236 · CV year 2014 · date basis article_pub_date. Dates are shown at the precision (year/month/day) available.
Paper abstract (original)
Objective To assess the influence of infant rearing on the behavior of depressed adult female Macaca fascicularis and the influence of depressed infant-rearing adult female Macaca fascicularis on their infants in a free enclosure environment. Methods Here, 20 depressed subjects and then 20 healthy subjects were randomly selected from a total population of 1007 adult female Macaca fascicularis subjects. Four depressed subjects and eight healthy subjects were rearing infants. By focal observation, three trained observers video-recorded the selected subjects over a total observational period of 560 hours. The video footage was analyzed by qualified blinded analysts that coded the raw footage into quantitative behavioral data (i.e., durations of 53 pre-defined behavioral items across 12 behavioral categories) for statistical analysis. Results Between infant-rearing and non-rearing healthy subjects, ten differential behaviors distributed across five behavioral categories were identified. Between infant-rearing and non-rearing depressed subjects, nine behaviors distributed across five behavioral categories were identified. Between infant-rearing healthy and infant-rearing depressed subjects, fifteen behaviors distributed across six behavioral categories were identified. Conclusion Infant-rearing depressed adult female Macaca fascicularis subjects may have a worse psychological status as compared to non-rearing depressed counterparts. Infant rearing may negatively influence depressed Macaca fascicularis mothers. Infant-rearing depressed subjects were less adequate at raising infants as compared to infant-rearing healthy subjects. Thus, maternal depression in this macaque species may negatively impact infatile development, which is consistent with previous findings in humans.
Publication date
Team research updatesScientific reports
Naturally occurring depressive-like phenotypes in socially housed macaques
The study describes naturally occurring depressive-like phenotypes and serum metabolic differences in socially housed macaques, and discusses model validity.
Ketamine testing did not establish predictive validity; the model cannot be described as fully validated.
Macaques exhibit a naturally-occurring depression similar to humans.
Entry P0233 · CV year 2015 · date basis article_pub_date. Dates are shown at the precision (year/month/day) available.
Paper abstract (original)
Rodent models have dominated preclinical investigations into the mechanisms of depression. However, these models-which rely on subjecting individual rodents to physical stressors - do not realistically resemble the etiopathological development of depression, which occurs naturally in a social context. A non-human primate model that better reflects the social ethological aspects of depression would be more advantageous to investigating pathophysiological mechanisms and developing antidepressant therapeutics. Here, we describe and model a naturally-occurring depressive state in a non-human primate species, the cynomolgus monkey (Macaca fascicularis), in a realistic social ethological context and associate the depressed behavioral phenotype with significant serum metabolic perturbations. One to two subjects per stable social colony (17-22 subjects) manifested a depressive phenotype that may be attributed to psychosocial stress. In accordance with rodent and human studies, the serum metabolic phenotype of depressed and healthy subjects significantly differed, supporting the model's face validity. However, application of the fast-acting antidepressant ketamine failed to demonstrate predictive validity. This study proposes a non-human primate depression model in a realistic social ethological context that can better approximate the psychosocial stressors underlying depression.
Publication date
Team research updatesBMC bioinformatics
Co-expression and regulatory analysis of two depressive states
Peripheral-blood lymphocyte transcriptomes were compared between major depression and subclinical depression for co-expression and regulatory patterns.
Computational analysis differs from clinical-classification tools; no company diagnostic service is claimed.
Differential co-expression and regulation analyses reveal different mechanisms underlying major depressive disorder and subsyndromal symptomatic depression.
Entry P0234 · CV year 2015 · date basis epub. Dates are shown at the precision (year/month/day) available.
Paper abstract (original)
Background Recent depression research has revealed a growing awareness of how to best classify depression into depressive subtypes. Appropriately subtyping depression can lead to identification of subtypes that are more responsive to current pharmacological treatment and aid in separating out depressed patients in which current antidepressants are not particularly effective. Differential co-expression analysis (DCEA) and differential regulation analysis (DRA) were applied to compare the transcriptomic profiles of peripheral blood lymphocytes from patients with two depressive subtypes: major depressive disorder (MDD) and subsyndromal symptomatic depression (SSD). Results Six differentially regulated genes (DRGs) (FOSL1, SRF, JUN, TFAP4, SOX9, and HLF) and 16 transcription factor-to-target differentially co-expressed gene links or pairs (TF2target DCLs) appear to be the key differential factors in MDD; in contrast, one DRG (PATZ1) and eight TF2target DCLs appear to be the key differential factors in SSD. There was no overlap between the MDD target genes and SSD target genes. Venlafaxine (Efexor™, Effexor™) appears to have a significant effect on the gene expression profile of MDD patients but no significant effect on the gene expression profile of SSD patients. Conclusion DCEA and DRA revealed no apparent similarities between the differential regulatory processes underlying MDD and SSD. This bioinformatic analysis may provide novel insights that can support future antidepressant R&D efforts.
Publication date
Team research updatesNeuropsychiatric disease and treatment
Comparing evidence on DBS targets in Parkinson's disease
The meta-analysis pooled 13 studies and 1,148 patients, comparing STN versus GPi stimulation on motor, medication and mood outcomes.
Outcomes involve trade-offs; not personal medical advice nor company medical technology.
Deep brain stimulation of pallidal versus subthalamic for patients with Parkinson's disease: a meta-analysis of controlled clinical trials.
Entry P0231 · CV year 2016 · date basis article_pub_date. Dates are shown at the precision (year/month/day) available.
Paper abstract (original)
Background Parkinson's disease (PD) is a common neurodegenerative disorder that affects many people every year. Deep brain stimulation (DBS) is an effective nonpharmacological method to treat PD motor symptoms. This meta-analysis was conducted to evaluate the efficacy of subthalamic nucleus (STN)-DBS versus globus pallidus internus (GPi)-DBS in treating advanced PD. Methods Controlled clinical trials that compared STN-DBS to GPi-DBS for short-term treatment of PD in adults were researched up to November 2015. The primary outcomes were the Unified Parkinson's Disease Rating Scale Section (UPDRS) III score and the levodopa-equivalent dosage (LED) after DBS. The secondary outcomes were the UPDRS II score and the Beck Depression Inventory (BDI) score. Results Totally, 13 studies containing 1,148 PD patients were included in this meta-analysis to compare STN-DBS versus GPi-DBS. During the off-medication state, the pooled weighted mean difference (WMD) of UPDRS III and II scores were -2.18 (95% CI =-5.11 to 0.74) and -1.96 (95% CI =-3.84 to -0.08), respectively. During the on-medication state, the pooled WMD of UPDRS III and II scores were 0.15 (95% CI =-1.14 to 1.44) and 1.01 (95% CI =0.12 to 1.89), respectively. After DBS, the pooled WMD of LED and BDI were -254.48 (95% CI =-341.66) and 2.29 (95% CI =0.83 to 3.75), respectively. Conclusion These results indicate that during the off-medication state, the STN-DBS might be superior to GPi-DBS in improving the motor function and activities of daily living for PD patients; but during the on-medication state, the opposite result is observed. Meanwhile, the STN-DBS is superior at reducing the LED, whereas the GPi-DBS shows a significantly greater reduction in BDI score after DBS.
Publication date
Team research updatesEdelweiss Psychiatry Open Access
viewpoint article on the nature of depressive disorders
The article discusses depression mechanisms via antidepressants, gene expression, systems biology, metabolism and brain circuits, with a research update.
Summarized from the publisher's full text; literature discussion is not rewritten as the authors' new experiments.
Meta‑analysis of current chemotherapy regimens in advanced pancreatic cancer to prolong survival and reduce treatment‑associated toxicities.
Entry P0227 · CV year 2019 · date basis article_pub_date. Dates are shown at the precision (year/month/day) available.
Paper abstract (original)
Unresectable advanced pancreatic cancer (APC) is a highly lethal malignancy. Although numerous chemotherapeutic regimens are available, evidence regarding the survival extension, the life quality improvement, the associated risks and occurrence rates of adverse effects, is required. The effects of 19 chemotherapy regimens on survival and treatment‑associated toxicities in the context of APC treatment were comparatively assessed. A total of 23 randomized controlled trials were included in this network meta‑analysis. For overall survival, five regimens, Gemcitabine (Gem)+radiotherapy (Radio), Gem+cisplatin (Cis), Gem+erlotinib (Erl)+bevacizumab (Bev), Gem+capecitabine (Cap)+Erl, and Gem+exatecan, were the most effective treatments, according to their respective high surface under the cumulative ranking (SUCRA) probabilities. Regarding the progression‑free survival, five regimens, including Gem+Radio, Gem+Erl+Bev, Gem+Cis, Gem+Cap+Erl and Gem+pemetrexed, were the most effective treatments based on their SUCRA probabilities. Each regimen exhibited advantages and disadvantages, and 14 common treatment‑associated toxicities were present in different proportions. The three principal toxic effects included haematological, gastrointestinal and constitutional symptoms. To improve survival, chemotherapy regimens with high SUCRA probabilities require prioritizing. Although treatment‑associated toxicities are unavoidable, the regimens presented toxicities in distinct proportions. Therefore, clinicians should assess the disease status of the patients, and balance the benefits and risks of the selected treatment.
Yearly entries
Team research updatesArchives of Biomedical and Clinical Research
Research leads on voice changes in Parkinson's disease
The article reviews voice, articulation and vocal-fold motion changes in Parkinson's disease and discusses motor-control leads.
Summarized from the publisher's full text; early-detection potential is discussed, not a validated screening product.
The physical significance of acoustic parameters and its clinical significance of dysarthria in Parkinson's disease.
Entry P0217 · CV year 2020 · date basis epub. Dates are shown at the precision (year/month/day) available.
Paper abstract (original)
Dysarthria is universal in Parkinson's disease (PD) during disease progression; however, the quality of vocalization changes is often ignored. Furthermore, the role of changes in the acoustic parameters of phonation in PD patients remains unclear. We recruited 35 PD patients and 26 healthy controls to perform single, double, and multiple syllable tests. A logistic regression was performed to differentiate between protective and risk factors among the acoustic parameters. The results indicated that the mean f0, max f0, min f0, jitter, duration of speech and median intensity of speaking for the PD patients were significantly different from those of the healthy controls. These results reveal some promising indicators of dysarthric symptoms consisting of acoustic parameters, and they strengthen our understanding about the significance of changes in phonation by PD patients, which may accelerate the discovery of novel PD biomarkers.
Publication date
Team research updatesInternational Journal of Information Technology
Engineering leads on a health-data analysis framework
CV and Crossref entries confirm a PowerShell-based health-data analysis framework paper. No full text this round; no performance or deployment claims.
Online 2020 and issue 2021 must both be shown; not to be rewritten as a company engineering delivery.
Fast and accurate automated recognition of the dominant cells from fecal images based on Faster R-CNN.
Entry P0211 · CV year 2021 · date basis article_pub_date. Dates are shown at the precision (year/month/day) available.
Paper abstract (original)
Fecal samples can easily be collected and are representative of a person's current health state; therefore, the demand for routine fecal examination has increased sharply. However, manual operation may pollute the samples, and low efficiency limits the general examination speed; therefore, automatic analysis is needed. Nevertheless, recognition exhaustion time and accuracy remain major challenges in automatic testing. Here, we introduce a fast and efficient cell-detection algorithm based on the Faster-R-CNN technique: the Resnet-152 convolutional neural network architecture. Additionally, a region proposal network and a network combined with principal component analysis are proposed for cell location and recognition in microscopic images. Our algorithm achieved a mean average precision of 84% and a 723 ms detection time per sample for 40,560 fecal images. Thus, this approach may provide a solid theoretical basis for real-time detection in routine clinical examinations while accelerating the process to satisfy increasing demand.
Publication date
Team research updatesCNS neuroscience & therapeutics
Phonatory head tremor and Parkinson's severity
The study enrolled 18 patients and 18 controls, completing phonation tests with video-based head-displacement quantification, analysed against disease severity.
Association alone does not prove early diagnosis; online 2021, issue 2022.
Correlation between head tremble and the severity of Parkinson's disease.
Entry P0204 · CV year 2021 · date basis crossref_published-online. Dates are shown at the precision (year/month/day) available.
Paper abstract (original)
Introduction Parkinson's (PD) is a common degenerative disease of the central nervous system. It affects more than 6 million individuals worldwide. The typical clinical manifestations include static tremor, slow movement, and unstable posture. However, the correlation between head tremor and the severity of PD remains unclear. Methods In the current study, 18 patients and 18 healthy subjects were recruited to undergo a phonation test. Noldus facereader 7.0 software was used to analyze the range of head trembling between the two groups. Results The data revealed that patients with PD had significant differences in the x-, y-, and z-axis of head movement with respect to the specific pronunciation syllables compared with the normal group. Moreover, the head movement of the patients with PD was positively correlated with the severity of the disease in the single, double, and multiple syllable tests. In the phonetic test, the head displacement of patients with PD was significantly greater than that of healthy individuals, and the displacement range was positively correlated with the severity of the disease. Conclusion These pieces of evidence suggested that the measurement of head displacement assists the early diagnosis and severity of the disease.
Publication date
Team research updatesFrontiers in cardiovascular medicine
S3 and ejection fraction: different evidential boundaries
The systematic review pooled 19 studies and 5,614 participants, comparing S3 against LVEF for heart-failure diagnosis.
S3 alone has low sensitivity; heart sounds cannot be claimed to replace ultrasound or rule out heart failure.
A systemic review and meta-analysis comparing the ability of diagnostic of the third heart sound and left ventricular ejection fraction in heart failure.
Entry P0194 · CV year 2022 · date basis crossref_published-online. Dates are shown at the precision (year/month/day) available.
Paper abstract (original)
Objective This study aimed to compare the sensitivity and specificity of diagnosis between the third heart sound (S3) and left ventricular ejection fraction (LVEF) in heart failure (HF). Methods Relevant studies were searched in PubMed, SinoMed, China National Knowledge Infrastructure, and the Cochrane Trial Register until February 20, 2022. The sensitivity, specificity, likelihood ratio (LR), and diagnostic odds ratio (DOR) were pooled. The symmetric receiver operator characteristic curve (SROC) and Fagan's nomogram were drawn. The source of heterogeneity was explored by meta-regression and subgroup analysis. Results A total of 19 studies, involving 5,614 participants, were included. The combined sensitivity of S3 was 0.23 [95% confidence interval (CI) (0.15-0.33), specificity was 0.94 [95% CI (0.82-0.98)], area under the SROC curve was 0.49, and the DOR was 4.55; while the sensitivity of LVEF was 0.70 [95% CI (0.53-0.83)], specificity was 0.79 [95% CI (0.75-0.82)], area under the SROC curve was 0.79, and the DOR was 8.64. No publication bias was detected in Deeks' funnel plot. The prospective design, partial verification bias, and blind contributed to the heterogeneity in specificity, while adequate description of study participants contributed to the heterogeneity in sensitivity. In Fagan's nomogram, the post-test probability was 48% when the pre-test probability was set as 20%, while in LVEF, the post-test probability was 45% when the pre-test probability was set as 20%. Conclusion The use of S3 alone presented lower sensitivity in diagnosing HF compared with LVEF, whereas it was useful in early pathological assessment.
Publication date
Science visuals & papersCancer cell international
Pancreatic cancer research progress and illustration leads
The review covers preoperative therapy, surgery and systemic treatment in pancreatic cancer. The corresponding illustration in the works library (Surgery red-and-black woodcut series) shares its origin with Figure 2 of the paper.
Original caption "Drawn by FFL"; contribution statement "LFF drew the images"; author list shows Fangfang Liu — no company ownership is inferred.
Entry P0189 · CV year 2022 · date basis article_pub_date. Dates are shown at the precision (year/month/day) available.
F147 corresponds to Figure 2; the original caption reads "Drawn by FFL", the contribution statement "LFF drew the images", and the author list shows Fangfang Liu. Abbreviations are kept; adoption of the image implies neither company ownership nor company acknowledgement.
Paper abstract (original)
Pancreatic cancer is a rare but fatal disease. Patients present advanced disease due to the lack of or typical symptoms when the tumor is still localized. A high-quality image processing system has been in practice to detect the pancreatic tumor and determine the possibility of surgery, and preoperative methods, such as ERCP are increasingly used to complement the staging modality. Pancreaticoduodenectomy is one of the complicated surgeries with potential morbidity. The minimally invasive pancreatic resections, both robot-assisted and laparoscopic, have become a part of standard surgical practice worldwide over the last decade. Moreover, advancements in adjuvant chemotherapy have improved the long-term outcomes in current clinical practice. The systemic conservative treatment, including targeted agents, remains the mainstay of treatment for patients with advanced disease. An increasing number of studies are focused on modulating the pancreatic tumor microenvironment to improve the efficacy of the immunotherapeutic strategies. Herein, the role of preoperative therapy, the novel surgical strategy, and individualized systemic treatment in pancreatic cancer is investigated. Also, the randomized controlled studies that have defined the neoadjuvant and surgical management of pancreatic cancer have been summarized.
Publication date
Team research updatesBrain-Apparatus Communication: A Journal of Bacomics
Leads on EEG, facial expression and sleep behaviour
The entry confirms an EEG–expression–sleep association study; no full text this round, so no effect or sample details are added.
Topical relevance does not prove the company has a multimodal platform.
Changes in brain function and heart sound in acute sleep deprivation individuals.
Entry P0183 · CV year 2023 · date basis crossref_published-print. Dates are shown at the precision (year/month/day) available.
Paper abstract (original)
Aims Sleep deprivation (SD) has become a health problem in modern society due to its adverse effects on different aspects. However, the relationship between sleep and cardiovascular system function remains unclear. Here we explored the changes occurring in the brain and the heart sounds after SD. Methods Ninety healthy adult men were recruited and subjected to 36 h of Sleep Deprivation (SD). They participated in a number of tests, including measurements of the heart sound, blood oxygen, and heart rate every 2 h. By using of principal component analysis to reduced the dimensionality of heart sound data. While the ALFF and ReHo indexes were measured via fMRI before and after SD. Correlation and regression analyses were used to reveal the relationship between fMRI and heart sound changes due to SD. Results In this study, there were no abnormal values in the heart rate and blood oxygen during 36 h of SD, whereas the intensity of heart sounds fluctuated significantly increased and decreased. The ALFF was increased in bilateral pericalcarine(Calcarine), left anterior cuneus, (Precuneus_L), right superior temporal gyrus(Temporal_Sup_R), left supplementary motor area (Supp_Motor_Area_L); However, it was reduced in the right medial superior frontal gyrus (Frontal_Sup_Medial_R), right dorsolateral superior frontal gyrus (Frontal_Sup_R) and left medial frontal gyrus (Frontal_Mid_L). The regression analysis uncovered that the intensity of the heart sound in the systole, s1, and s2 phase could be explained by Calcarine_L changes. Conclusion Acute sleep deprivation affects cardiac-brain axis and the specific brain regions. Calcarine_L changes during sleep deprivation are involved in regulating heart contractions.
Publication date
Team research updatesFrontiers in artificial intelligence
Time labels for heart sounds: automatic segmentation research
An audio analysis tool time-labels the cardiac cycle and S1/S2, validated against pulse-oximeter heart rate.
Published 2024-01-11 with volume/DOI bearing 2023; not to be described as a complete cardiac-diagnosis system.
Construction and validation of a method for automated time label segmentation of heart sounds.
Entry P0180 · CV year 2024 · date basis crossref_published-online. Dates are shown at the precision (year/month/day) available.
Paper abstract (original)
Heart sound detection technology plays an important role in the prediction of cardiovascular disease, but the most significant heart sounds are fleeting and may be imperceptible. Hence, obtaining heart sound information in an efficient and accurate manner will be helpful for the prediction and diagnosis of heart disease. To obtain heart sound information, we designed an audio data analysis tool to segment the heart sounds from single heart cycle, and validated the heart rate using a finger oxygen meter. The results from our validated technique could be used to realize heart sound segmentation. Our robust algorithmic platform was able to segment the heart sounds, which could then be compared in terms of their difference from the background. A combination of an electronic stethoscope and artificial intelligence technology was used for the digital collection of heart sounds and the intelligent identification of the first (S1) and second (S2) heart sounds. Our approach can provide an objective basis for the auscultation of heart sounds and visual display of heart sounds and murmurs.
Publication date
Team research updatesSleep medicine
Sleep deprivation and visual-area functional connectivity
The abstract describes connectivity, alertness, mood and sleepiness changes across 36 hours of deprivation in 60 healthy men.
Online 2024-11-22, issue 2025-01; connectivity change does not mean the regions are disconnected.
The impact of sleep deprivation on the functional connectivity of visual-related brain regions.
Entry P0174 · CV year 2024 · date basis europepmc_firstPublicationDate. Dates are shown at the precision (year/month/day) available.
Paper abstract (original)
Background Sleep deprivation(SD) is known to impair cognitive function and emotional regulation, however, its specific effects on the functional connectivity of visual-related brain regions remain unclear. Objectives This study aimed to investigate the impact of 36-h acute sleep deprivation on functional connectivity in visual neural circuits and its relationship with cognitive and emotional changes. Methods Sixty healthy male participants were assessed before and after 36 h of sleep deprivation using resting-state fMRI, the Psychomotor Vigilance Task (PVT), the Epworth Sleepiness Scale (ESS), and the Profile of Mood States (POMS). Functional connectivity changes were analyzed using paired t-tests and False Discovery Rate (FDR) correction. Key results Sleep deprivation significantly altered functional connectivity between the prefrontal cortex, hippocampus, and visual processing regions. These changes correlated with slower PVT reaction times, increased subjective sleepiness (ESS), and emotional disturbances (POMS), including heightened tension and reduced self-esteem. Conclusions The findings suggest that acute sleep deprivation impairs cognitive performance and emotional regulation by changing functional connectivity in key brain regions. These results may strengthen our understanding of neurobiology of SD and its potential negative effects.
Publication date
paper acknowledgement (professional discussion)BMC pediatrics
The study analysed 226 infant-cry segments, splitting inspiration from expiration, extracting duration, frequency and intensity, and comparing preterm vs full-term.
226 counts audio segments, not infants; this is not a brain-injury diagnostic product.
Construction and validation of an automated time label segmentation method for infant cries.
Entry P0158 · CV year 2025 · date basis epub. Dates are shown at the precision (year/month/day) available.
AcknowledgementsAcknowledgments: We thank the undergraduate candidates SQC, WZH, LYF, who performed clinical examinations in community hospitals and provided valuable suggestions for this study. Dr Huang Kun provided valuable software segmentation experience for this study. The valuable support from the medical sound database from Chengdu Medical College (http://ama.cmc.edu.cn) and professional discussion from Chengdu Zhiju Data Science Technology Co., Ltd. (www.zjdatast.cn).
The company's contribution was professional discussion only; the medical sound database belongs to Chengdu Medical College.
Paper abstract (original)
Infant cries serve as critical indicators of an infant's physiological and psychological states, holding essential clinical value in distinguishing between normal and pathological conditions during early development. However, most studies on infant cries failed to segment between inhalation and exhalation during the crying analysis because segmentation remains great challenge. Therefore, we developed an audio data analysis tool capable of accurately segmenting inhalation and exhalation phases in infant cries, followed by extraction of the duration, frequency, and intensity parameters of each segment. Here, 226 sound clips of infants' cries were collected and analyzed. The results revealed the significant differences in sound parameters between premature and term infants. The whole process allows automatic identification and digital collection of infant cries, and it provides an objective method to evaluate the significance behind the cries.
Publication date
paper acknowledgement (professional discussion)The clinical respiratory journal
Research on inspiration/expiration segmentation of breath sounds
Breath sounds from 84 patients were time-labelled and feature-extracted, comparing respiratory-cycle metrics across conditions.
The company is thanked for professional discussion; not exclusive data or a commercial delivery.
Construction and Validation of an Automatic Segmentation Method for Respiratory Sound Time Labels.
Entry P0157 · CV year 2025 · date basis epub. Dates are shown at the precision (year/month/day) available.
AcknowledgmentsWe give special thanks for the valuable support from the medical sound database from Chengdu Medical College (http://ama.cmc.edu.cn) and the professional discussion from Chengdu Zhiju Data Science Technology Co. Ltd. (www.zjdatast.cn).
The company's contribution was professional discussion only; the medical sound database belongs to Chengdu Medical College.
Paper abstract (original)
Background In the field of respiratory system diseases, the utilization of respiratory sounds in auscultation plays a crucial role in the specific disease diagnosis. However, during the process of auscultation, the personal experiences and environmental factors may affect the decision making, leading to diagnostic errors. Therefore, to accurately and effectively obtain and analyze respiratory sounds can be positively contribute to the diagnosis and treatment of respiratory system diseases. Objectives Our aim was to develop an analytical method for the visualization and digitization of respiratory audio data, and to validate its capability to differentiate between various background diseases. Methods This study collected the respiratory sounds of patients admitted to the Department of General Medicine of Shanghai Changhai Hospital from June to December 2023. After strict screening according to the inclusion and exclusion criteria, a total of 84 patients were included. The research process includes using an electronic stethoscope to collect lung sounds from patients in a quiet environment. The patients expose their chests and lie flat. Sound data are collected at six landmark positions on the chest. The collected audio files are imported into an analysis tool for segmentation and feature extraction. Specific analysis methods include distinguishing heart sounds and respiratory sounds, segmenting respiratory sounds, determining the inspiratory and expiratory phases, and using a tool developed by the team for automatic segmentation encoding. Results We standardized the respiratory sounds of 84 patients and segmented multiple respiratory cycles. Following the localization and segmentation of the respiratory cycles based on label information, we calculated the average and standard deviation of the amplitude features for each segment of the respiratory cycle. The results indicated differences among various diseases. Conclusions The robust algorithm platform is capable of segmenting the respiratory sounds into inhale and exhale phases accordingly, then comparing the difference between different background diseases. This method provides objective evidence for the auscultation of respiratory sounds and visual display of breath sounds.
Publication date
Team research updatesScientific reports
Noise intensity and attention-task performance
The study observed 38 healthy students performing tasks under three progressively increasing noise levels, analysed with fNIRS and physio-facial measures.
Fixed ascending order may carry order effects; no universal "best decibel" or noise therapy is claimed.
The impact of different decibels of ambient noise on attention.
Entry P0147 · CV year 2026 · date basis crossref_published-online. Dates are shown at the precision (year/month/day) available.
Paper abstract (original)
Ambient noise is often perceived as a distractor; however, some individuals may benefit from certain levels of ambient noise to enhance cognitive performance. Despite this, the optimal range of ambient noise for improving attention remains unclear. To disclose this relationship, thirty-eight healthy college students were recruited to perform a 6 ⋅ 6 Schulte grid test under varying ambient noise levels. All participants performed the tasks under three noise conditions presented in a fixed order of increasing intensity (20-40 dB, 40-60 dB, and 60-80 dB). Functional near-infrared spectroscopy (fNIRS) was employed to measure dynamic changes in hemoglobin levels, while facial expressions and physiological signs were also assessed. The findings demonstrated that 40-60 dB group exhibited strongest visual brain functional connectivity. Among the three groups, the 40-60 dB group exhibited the highest values for anger expression, surprise expression, and heart rate (HR) (all p < 0.0001). Additionally, this group showed significantly higher heart rate variability (SDNN) compared to the 60-80 dB group (p < 0.05). The region of interest (ROI) pars triangularis Broca's area left~ pars triangularis Broca's area right revealed a significant difference (P = 0.004). Furthermore, the pairwise post hoc tests revealed the significant differences between the 20-40 dB group and 60-80 dB group (P = 0.007), as well as between the 40-60 dB group and 60-80 dB group (P = 0.017). In conclusion, moderate noise (40-60 dB) appears to induce an optimal level of arousal. In contrast, high-intensity noise (60-80 dB) likely prompts functional reorganization between the bilateral triangular parts of Broca's area to support cognitive control and interference suppression.The moderate intensity of noise may arouse the attention.
Publication date
paper acknowledgement (professional discussion)International journal of psychology : Journal international de psychologie
An fNIRS study of mixed-culture visual stimuli and decision-making
The study enrolled 300 students aged 18–22 in three groups, combining fNIRS, expression and vital signs to study visual stimuli and decision-making.
An exploratory study, not a marketing promise; the company's contribution was professional discussion only.
The Effect of Culture Mix or Not Conflict Against the Decision Making-A fNIRS Study.
Entry P0145 · CV year 2026 · date basis epub. Dates are shown at the precision (year/month/day) available.
AcknowledgementsWe specially thank the valuable support from the medical sound database from Chengdu Medical College (http://ama.cmc.edu.cn) and professional discussion from Chengdu Zhiju Data Science Technology Co. Ltd. (www.zjdatast.cn).
The company's contribution was professional discussion only; the medical sound database belongs to Chengdu Medical College.
Paper abstract (original)
With increasing globalisation and deepening integration of local cultures, a growing number of product advertisements incorporate diverse, mixed cultural elements, designed to attract consumer attention and enhance purchase interest. However, the underlying mechanisms by which visual stimuli successfully influence consumer purchase behaviour remain poorly understood. In the present study, 300 college students aged 18-22 were recruited and randomly assigned to one of three between-subjects experiments (A, B and C), each comparing a control group (n = 50) with an experimental group (n = 50). The experiment employed a single-exposure paradigm, using functional near-infrared spectroscopy (fNIRS) to monitor changes in participant haemoglobin in brain cortical areas. Facial expressions and vital signs were simultaneously recorded in parallel. Based on these measurements, visual stimuli with mixed cultural elements collectively influence consumer decision-making through their intensity characteristics, potentially involving cognitive conflict processing and may be associated with enhanced emotional arousal and modulated autonomic nervous activity. These results provide exploratory evidence for the neural correlates underlying visual strategies in cross-cultural marketing and offer new methodological support for brand design and consumer cognition studies.
Entries are transcribed as written in the CV; publication details follow the formal journal versions. This index has not been externally re-verified item by item, and years are CV-annotated. Publications are Xu Fan's personal and collaborative work, not company commercial cases.Company-supported publicationsA per-paper acknowledgement verification view.
Deduplication: CV entries P0263 and P0270 are the same paper with different spellings (rs1344706/rsI344706), counted once; both originals are kept.
2026 (11 items)
Yutong Ma*, Yingfeng Tan*, Fan Xu*, Jiayi Chen, Yuxian Chen, Fangfang Liu, Meng Fan#, Qin Han#; (2026) The Impact of Different Severities of Anxiety on Decision-Making, Brain and Behaviour, 16, no. 9: e71704. https://doi.org/10.1002/brb3.71704
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Xi Chen, Lin Dao, Wenjun Huang, Bi Li, Xiaolan Wang, Zhengyu Chen, Fangfang Liu, Li Luo#, Fan Xu# (2026). Dynamic changes and functional analysis of the vaginal microbial communities in reproductively dysfunctional giant pandas. Vet J. 2026 Mar 28; 317:106660. doi:10.1016/j.tvjl.2026.106660. Epub ahead of print. PMID: 41912105.
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Liu, Fangfang, Xu, Fan., Zhang, Yelan., Zou, Jifan., Ma, Yutong, & Meng, R. (2025). Psychological capital and learning burnout in college students: The mediating role of coping styles. Social Behavior and Personality: An international journal, 53(1), e14234
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Fan Xu, Min Huang, Yun Bai, Xueshi Yin, Jingzhe Yan, Fangfang Liu, Jie Chen*, Xiechuan Weng* (2022). Landmarks in pancreatic cancer studies. Cancer Cell Int 22, 383. https://doi.org/10.1186/s12935-022-02803-8 , PMID: 36476236 (Q2, IF=6.435)
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Yan Zhang, Yun Bai, Jun Xie, Jian Wang, Lanying He, Min Huang, Fan Xu*(2022) Carotid plaque components and other carotid artery features associated with risk of stroke: A systematic review and meta-analysis, J Stroke and Cerebrovascular Diseases, Vol 31, Issue 12, December 2022, 106857, PMID:36334373 (Q3, IF=2.677)
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Meng Wang, Yanxia Wen, Shicong Mo, Liqiong Yang, Xiaqing Chen, Man Luo, Hongdian Yu, Fan Xu*, Xianwei Zou*. (2022) Distinctive acoustic changes in speech in Parkinson's disease, J Computer Speech & Language, https://doi.org/10.1016/j.csl.2022.101384. (Q3，IF=3.252)
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First / corresponding author columnCV entry P0216
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Author-role columnCV entry P0266
2012 (3 items)
Xu F, Xie L, Li X, Li Q, Wang T, et al. (2012) Construction and Validation of a Systematic Ethogram of Macaca fascicularis in a Free Enclosure. PLoS ONE 7(5): e37486. doi:10.1371/journal.pone.0037486, PMID:22662158 (Q1, IF=3.730)
Xu F et al (2012) Influence of reared baby or not on the social behavior of female Macaca fascicularis in free enclosure. Acta Laboratorium animals science since.20(3):18-22 (Chinese)
First / corresponding author columnCV entry P0242
Xin.L, Liang.X, Xu F et al (2012) Daily Time Budgets Of The Capative Adult Female Macaca fascicularis, Sichuan Journal of Zoology, 31(05): 798-8021 (Chinese)
Author-role columnCV entry P0267
2007 (1 item)
Xu F et al (2007) Establishment of spinal cord injury models and its evaluation of neural function after spinal cord injury ,J Trauma Surgery, 1:91-93 (Chinese)
First / corresponding author columnCV entry P0244
2006 (2 items)
Xu F et al (2006) Thinking about relevant problems concerning low temperature of intravenous infusion fluids,J Chinese Nursing Research,20(5): 1384 (Chinese)
First / corresponding author columnCV entry P0245
Xu F et al (2006) The progress of cell transplantation in spinal cord injury, J Sichuan Physiology,28(3),123-125(Chinese)
First / corresponding author columnCV entry P0246
Software copyrights (CV-listed entries)
Entries are transcribed from Xu Fan's personal academic CV. The names, version numbers and registration numbers below are recorded as stated in that source and do not represent verified software functionality. No verifiable registration certificates or rights-holder records are available in the current materials, so these are not treated as confirmed company assets. Software copyright registration is not medical device registration, nor does it validate clinical efficacy.
Clinical data collection and full-text DOI retrieval software, registration No. 2019SR0027932, 2019
These are CV records only, not company assets verified by certificates; words like "assessment" or "monitoring" in the names are not validated clinical functions.
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