Xin Di

ORCID: 0000-0002-2422-9016
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About
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Research Areas
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications
  • Advanced Neuroimaging Techniques and Applications
  • EEG and Brain-Computer Interfaces
  • Neural and Behavioral Psychology Studies
  • Mobile Ad Hoc Networks
  • Cancer-related molecular mechanisms research
  • Mental Health Research Topics
  • Neural Networks and Applications
  • RNA modifications and cancer
  • Energy Efficient Wireless Sensor Networks
  • Wireless Networks and Protocols
  • Sarcoidosis and Beryllium Toxicity Research
  • Meta-analysis and systematic reviews
  • RNA regulation and disease
  • Indoor and Outdoor Localization Technologies
  • Neuroscience and Music Perception
  • MicroRNA in disease regulation
  • Heart Rate Variability and Autonomic Control
  • Plant Surface Properties and Treatments
  • Sepsis Diagnosis and Treatment
  • Plant Stress Responses and Tolerance
  • Cancer-related gene regulation
  • interferon and immune responses

New Jersey Institute of Technology
2016-2025

Qingdao University of Science and Technology
2025

State Forestry and Grassland Administration
2023-2024

Shandong Agricultural University
2022-2024

Second Affiliated Hospital of Jilin University
2019-2024

Yanshan University
2024

University of Electronic Science and Technology of China
2018-2022

China Academy of Engineering Physics
2022

Chinese University of Hong Kong
2022

China University of Geosciences (Beijing)
2015-2022

Rotem Botvinik‐Nezer Felix Holzmeister Colin F. Camerer Anna Dreber Jürgen Huber and 95 more Magnus Johannesson Michael Kirchler Roni Iwanir Jeanette A. Mumford R. Alison Adcock Paolo Avesani Błażej M. Bączkowski Aahana Bajracharya Leah Bakst Sheryl Ball Marco Barilari Nadège Bault Derek Beaton Julia Beitner Roland G. Benoit Ruud Berkers Jamil P. Bhanji Bharat B. Biswal Sebastian Bobadilla-Suarez Tiago Bortolini Katherine L. Bottenhorn Alexander Bowring Senne Braem Hayley R. Brooks Emily G. Brudner Cristian Buc Calderon Julia A. Camilleri Jaime J. Castrellon Luca Cecchetti Edna C. Cieslik Zachary J. Cole Olivier Collignon Robert W. Cox William A. Cunningham Stefan Czoschke Kamalaker Dadi Charles P. Davis Alberto De Luca Mauricio R. Delgado Lysia Demetriou Jeffrey B. Dennison Xin Di Erin W. Dickie Ekaterina Dobryakova Claire Donnat Juergen Dukart Niall W. Duncan Joke Durnez Amr Eed Simon B. Eickhoff Andrew Erhart Laura Fontanesi G. Matthew Fricke Shiguang Fu Adriana Galván Rémi Gau Sarah Genon Tristan Glatard Enrico Glerean Jelle J. Goeman Sergej Golowin Carlos González‐García Krzysztof J. Gorgolewski Cheryl L. Grady Mikella A. Green João F. Guassi Moreira Olivia Guest Shabnam Hakimi J. Paul Hamilton Roeland Hancock Giacomo Handjaras Bronson Harry Colin Hawco Peer Herholz Gabrielle Herman Stephan Heunis Felix Hoffstaedter Jeremy Hogeveen Susan Holmes Hu Chuan-Peng Scott A. Huettel Matthew Hughes Vittorio Iacovella Alexandru D. Iordan Peder Mortvedt Isager Ayse Ilkay Isik Andrew Jahn Matthew R. Johnson Tom Johnstone Michael Joseph Anthony Juliano Joseph W. Kable Michalis Kassinopoulos Cemal Koba Xiangzhen Kong

10.1038/s41586-020-2314-9 article EN Nature 2020-05-20

There is a growing interest in studies of human brain networks using resting-state functional magnetic resonance imaging (fMRI). However, it unclear whether and how measured during the exhibit comparable properties to task performance. In present study, we investigated meta-analytic coactivation patterns among regions based upon published neuroimaging studies, compared network configurations with those network. The strength connectivity between two were strongly correlated strength. showed...

10.3389/fnhum.2013.00493 article EN cc-by Frontiers in Human Neuroscience 2013-01-01

The human brain is inherently organized as separate networks, has been widely revealed by resting-state functional magnetic resonance imaging (fMRI). Although the large-scale connectivity can be partially explained underlying white-matter structural connectivity, question of whether related to metabolic factors still largely unanswered. present study investigated presence covariant networks across subjects using a set fluorodeoxyglucose (18F, FDG) positron-emission tomography (PET) images....

10.1089/brain.2012.0086 article EN Brain Connectivity 2012-10-01

Neuroimaging studies of professional athletic or musical training have demonstrated considerable practice-dependent plasticity in various brain structures, which may reflect distinct demands. In the present study, structural and functional alterations were examined badminton players compared with healthy controls using magnetic resonance imaging (MRI) resting-state MRI. Gray matter concentration (GMC) was assessed voxel-based morphometry (VBM), resting-brain functions measured by amplitude...

10.1089/brain.2011.0050 article EN Brain Connectivity 2012-07-28

Studies of brain functional connectivity have provided a better understanding organization and integration large-scale networks. Functional using resting-state magnetic resonance imaging (fMRI) is typically based upon the correlations low-frequency fluctuation fMRI signals. Reproducible spatial maps in also been observed amplitude fluctuations (ALFF) resting-state. However, little known about influence ALFF on measures. In present study, we analyzed data 79 healthy old individuals. Spatial...

10.3389/fnhum.2013.00118 article EN cc-by Frontiers in Human Neuroscience 2013-01-01

Abstract Human brain anatomical and resting-state functional connectivity have been comprehensively portrayed using MRI, which are termed connectomes. A systematic examination of tasks modulated whole connectivity, we term as task connectome, is still lacking. We analyzed 6 block-designed 1 event-related designed MRI data, examined whole-brain in various domains, including emotion, reward, language, relation, social cognition, working memory, inhibition. By psychophysiological interaction...

10.1093/cercor/bhy055 article EN Cerebral Cortex 2018-06-20

The two major brain networks, i.e., the default mode network (DMN) and task positive network, typically reveal negative variable connectivity in resting-state. In present study, we examined whether between DMN different components of were modulated by other regions using physiophysiological interaction (PPI) on resting-state functional magnetic resonance imaging data. Spatial independent component analysis was first conducted to identify that represented networks interest, including anterior...

10.7717/peerj.367 article EN cc-by PeerJ 2014-05-01
Rotem Botvinik‐Nezer Felix Holzmeister Colin F. Camerer Anna Dreber Jürgen Huber and 95 more Magnus Johannesson Michael Kirchler Roni Iwanir Jeanette A. Mumford Alison Adcock Paolo Avesani Błażej M. Bączkowski Aahana Bajracharya Leah Bakst Sheryl Ball Marco Barilari Nadège Bault Derek Beaton Julia Beitner Roland G. Benoit Ruud Berkers Jamil P. Bhanji Bharat B. Biswal Sebastian Bobadilla-Suarez Tiago Bortolini Katherine L. Bottenhorn Alexander Bowring Senne Braem Hayley R. Brooks Emily G. Brudner Cristian Buc Calderon Julia A. Camilleri Jaime J. Castrellon Luca Cecchetti Edna C. Cieslik Zachary J. Cole Olivier Collignon Robert W. Cox William A. Cunningham Stefan Czoschke Kamalaker Dadi Charles P. Davis Alberto De Luca Mauricio R. Delgado Lysia Demetriou Jeffrey B. Dennison Xin Di Erin W. Dickie Ekaterina Dobryakova Claire Donnat Juergen Dukart Niall W. Duncan Joke Durnez Amr Eed Simon B. Eickhoff Andrew Erhart Laura Fontanesi G. Matthew Fricke Adriana Galván Rémi Gau Sarah Genon Tristan Glatard Enrico Glerean Jelle J. Goeman Sergej Golowin Carlos González‐García Krzysztof J. Gorgolewski Cheryl L. Grady Mikella Green João Guassi Moreira Olivia Guest Shabnam Hakimi J. Paul Hamilton Roeland Hancock Giacomo Handjaras Bronson Harry Colin Hawco Peer Herholz Gabrielle Herman Stephan Heunis Felix Hoffstaedter Jeremy Hogeveen Susan Holmes Hu Chuan-Peng Scott A. Huettel Matthew Hughes Vittorio Iacovella Alexandru D. Iordan Peder Mortvedt Isager Ayse Ilkay Isik Andrew Jahn Matthew R. Johnson Tom Johnstone Michael Joseph Anthony Juliano Joseph W. Kable Michalis Kassinopoulos Cemal Koba Xiangzhen Kong Timothy R. Koscik

Summary Data analysis workflows in many scientific domains have become increasingly complex and flexible. To assess the impact of this flexibility on functional magnetic resonance imaging (fMRI) results, same dataset was independently analyzed by 70 teams, testing nine ex-ante hypotheses. The analytic approaches is exemplified fact that no two teams chose identical to analyze data. This resulted sizeable variation hypothesis test even for whose statistical maps were highly correlated at...

10.1101/843193 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2019-11-15

Functional magnetic resonance imaging signals, in addition to reflecting neuronal response, also contain physiological variances. These factors may introduce variability into blood oxygen level–dependent (BOLD) activation results, particularly different population groups. In this study, we hypothesized that the amplitude as well spatial extent of BOLD could be improved after minimizing variance caused by neurovascular and anatomical factors. Subjects were scanned while they performed finger...

10.1093/cercor/bhs001 article EN Cerebral Cortex 2012-02-17

Objectives Synaptic plasticity and brain-derived neurotrophic factor (BDNF) signalling are proposed to play key roles in antidepressant drug action. Ketamine, an N-methyl-D-aspartate receptor antagonist putative antidepressant, may increase synaptic prefrontal cortex through higher expression of BDNF. Furthermore, ketamine was shown change resting-state functional connectivity (RSFC) dorsomedial (dmPFC).Methods In a randomised, placebo-controlled study, we investigated acutely (100 min) at...

10.1080/15622975.2019.1679391 article EN The World Journal of Biological Psychiatry 2019-11-04

Among systemic abnormalities caused by the novel coronavirus, little is known about critical attack on central nervous system (CNS). Few studies have shown cerebrovascular pathologies that indicate CNS involvement in acute patients. However, replication are necessary to verify if these effects persist COVID-19 survivors more conclusively. Furthermore, recent fatigue highly prevalent among 'long-COVID' How morphometry each group relate work-related need be investigated. COVID were MRI scanned...

10.1016/j.ynirp.2022.100095 article EN cc-by-nc-nd Neuroimage Reports 2022-04-25

Functional MRI (fMRI) has become a popular technique to study brain functions and their alterations in psychiatric neurological conditions. The sample sizes for fMRI studies have been increasing steadily, growing are sourced from open-access imaging repositories. Quality control becomes critical ensure successful data processing valid statistical results. Here, we outline simple protocol pre-processing quality based on parametric mapping (SPM) MATLAB. focus of this is not only identify...

10.3389/fnimg.2022.1070151 article EN cc-by Frontiers in Neuroimaging 2023-01-10
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