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Selected Journal Publications


Yang N#, He Y#, Zhang Z#, Dong HM#, Zhang L#, Zhu XT, Hou XH, Wang YS, Zhou Q, Gong ZQ, Cao LZ, Wang P, Zhang YW, Sui DY, Xu T, Wei GX, Yang Z, Jiang L, Li HJ, Feng TY, Chen A, Qiu J, Chen X, Liu X, Zuo XN*. Chinese Color Nest Project (CCNP): Growing Up in China. Chinese Science Bulletin. 2017; 62(26): 3008–3022. [The development component of CCNP was introduced comprehensively. The original paper was written in Chinese, and we have translated it into English for the international community. English version can be downloaded here. Please let us know if you have any comments.] ccnp
Zuo XN*, He Y, Betzel RF, Colcombe S, Sporns O, Milham MP*. Human connectomics across the lifespan. Trends in Cognitive Sciences. 2017; 21(1): 32–45. [We survey empirical findings in life-span connectomics and propose a generative framework for computationally modeling the connectome over the human life span. This framework highlights initial findings that across the life span, indicating that the human connectome gradually shifts from an ‘anatomically driven’ organization to one that is more ‘topological’. Meanwhile, the Chinese Color Nest Project was also proposed in this review paper.] lifespanconn
Zuo XN*. Mapping the Human Brain Function in Vivo. Science Bulletin. 2016; 61(24): 1839–1840. [This editorial is written for a special topic on 'Mapping the human brain function in vivo' to highlight the importance of FMRI use in human brain mapping and its applications in clinical side. The content of this topic covers computational methods, clinical applications of rfMRI, Chinese language as well as a short review on emotion-cognition interaction from five papers.] vivoFMRI
Hu Y, Wang J, Li C, Wang YS, Yang Z*, Zuo XN. Segregation between the parietal memory network and the default mode network: effects of spatial smoothing and model order in ICA. Science Bulletin. 2016; 61(24): 1844–1854. [We employed three typical algorithms of group ICA to assess how smoothing and model order influence the degree of PMN–DMN segregation, and found that PMN and DMN can only be stably separated using a combination of low-level spatial smoothing and high model order across the three algorithms.] PMNvsDMN
Yang Z*, Qiu J, Wang P, Liu R, Zuo XN*. Brain structure-function associations identified in large-scale neuroimaging data. Brain Struct Funct. 2016; 221(9): 4459–4474. [We provided a direct and complete view of the associations across multiple structural and functional metrics in normal population by learning cross-individual co-variance among structural and functional measures using large-scale neuroimaging datasets from the Consortium for Reliability and Reproducibility (CoRR). Gender, age and handedness were associated to the co-variance units, and a sub-study of schizophrenia demonstrated the usefulness of the co-variance database.] brainSFR
Xu T, Opitz A, Craddock C, Zuo XN, Milham MP*. Assessing variations in areal organization for the intrinsic brain: From fingerprints to reliability. Cerebral Cortex. 2016; 26(11): 4192-4211. [With use of the CoRR datasets, we map differences in full-brain transition profiles (i.e., gradient maps, edge maps) across individuals, and their test-retest reliability. 10-min rfMRI scans were sufficient to achieve high accuracies in efforts to “fingerprint” individuals based upon full-brain transition profiles and moderate test–retest reliability.] Surface Fingerprint of the Human Brain Function
Jiang L* and Zuo XN*. Regional homogeneity: A multi-modal, multi-scale neuroimaging marker of the human connectome. The Neuroscientist. 2016; 22(5): 486-505. [In this review, local functional homogeneity with ReHo is proposed as a network centrality to characterize multimodal local features of the brain connectome, and a neurobiological perspective on local functional homogeneity is rendered by linking its temporal, spatial, and individual variability to information processing, anatomical morphology, and brain development.][Cover Review][The Most Read Articles] Surface ReHo
Wang P, Liu HH, Zhu XT, Meng T, Li HJ*, Zuo XN. Action video game training for healthy adults: A meta-analytic study. 2016. Front. Psychol. 7: 907. [This meta-analysis demonstrate that healthy adults achieve moderate benefit from AVG training in overall cognitive ability and moderate to small benefit in specific cognitive domains. In contrast, young adults gain more benefits from AVG training than older adults in both overall cognition and specific cognitive domains.] TV GAME ON AGING
Yan CG*, Wang XD, Zuo XN, Zang YF. DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging. Neuroinformatics. 2016; 14(3):339-351. [DPABI emphasizes test-retest reliability and quality control of data processing, and provides a user-friendly pipeline analysis toolkit for rat/monkey rfMRI data analysis to reflect the rapid advances in animal imaging. This tool has been released to the community via RFMRI.org. Dr. Chao-Gan Yan is the developer and responsible for all the components of the DPABI software.] DPABI
Yang Z, Zuo XN*, McMahon KL, Craddock CR, Kelly C, de Zubicaray G, Hickie IB, Bandettini P, Castellanos FX, Milham MP*, Wright MJ. Genetic and environmental contributions to functional connectivity architecture of the human brain. Cereb Cortex. 2016; 26(5):2341-2352. [Using spatial regression with gRAICAR derived network templates, we observed that the source of inter-individual variation in functional connectome has a modular architecture: individual modules represented by intrinsic connectivity networks are genetically controlled, while environmental factors influence the interplays between the modules.] TWINS
Yan ZX, Liu X, Tan SP,Tan YL,Wei GX, Yang Z, Zuo XN*. Developmental cognitive neurosciecne: Functional connectomics agenda for human brain lifespan development. Chinese Sci Bull. 2016; 61(7):718-727. [We documented a systematic review (In Chinese) on developmental cognitive neuroscience, especially focusing on lifespan development. As a summary report on our first grant founded by NSFC in 2011, this review brings most recent findings on the lifespan development of the human brain connectome together and proposes a set of promising directions for future studies.] LIFESPAN
He Y, Xu T, Zhang W, Zuo XN*. Lifespan anxiety is reflected in intrinsic amygdala cortical connectivity. Hum Brain Mapp. 2016; 37(3):1178-1193. [With the use of multi-band rfMRI approaches, we demonstrated the association between anxiety behavior and cortical networks of brain function. One interesting methodology aspect is that the different and shared outcomes of the brain-behavior correlation across functional connectivity at multiple spatial scales.] HBM-ANXIETY
Betzel RF*, Fukushima M, He Y, Zuo XN, Sporns O. Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks. 2016; Neuroimage, 127:287-297. [Preprint at arXiv] [This work introduces conditional dynamic functional connectivity (cdFC) for characterizing the dynamics of FC. Using this approach, mass excursions cab be defined and employed to measure dynamics in brain connectomes. This metric is commonly associated with highly segregated and stable modules where the default network is disassociated from others.] reproEOEC
Betzel R, Avena-Koenigsberger A, Goni J, He Y, de Reus M, Griffa A, Vertes P, Misic B, Hagmann P, Thiran JP, van den Heuvel M, Zuo XN, Bullmore Ed, Sporns O*. Generative models of the human connectome. 2016; Neuroimage, 124(Part A):1054-1064. [This work represents a milestone that integrates structure and function into a generative model of the physics of the human brain function. This offers a tool to refine various studies of clinical populations (e.g., schizophrenia, stroke, major depression disorder, etc.), and of coz, the normal brain ability (e.g., intellegence as illustrated in the cover).] reproEOEC
Chen B, Xu T, Zhou C, Wang L, Yang N, Wang Z, Dong HM, Yang Z, Zang YF, Zuo XN*, Weng XC*. Individual variability and test-retest reliability revealed by ten repeated resting state brain scans over one month. 2015; PLoS ONE 10(12): e0144963. [Using a large-sample of longitudinal scans from 30 healthy young adults, we characterised the richness of individual differences in functional connectomics metrics. This can be used as a reference for both test-retest reliability and various surface-based rfMRI metric computation, implemented as in the Connectome Computation System (CCS).] ccbdTRT
Wang J, Yang N, Liao W, Zhang H, Yan CG, Zang YF, Zuo XN*. Dorsal anterior cingulate cortex in typically developing children: Laterality analysis. Dev Cogn Neurosci. 2015; 15:117-129. [This work represents the first research paper based upon the datasets collected from the Chinese Color Nest Program (CCNP) and is also part of the special topic "Imaging the Developing Brain"of the journal for the 1st International Conference of Human Brain Development.] [This journal gets an increasing impact factor: 5-yrs IF = 4.582.] reproEOEC
Li HJ*, Hou XH, Liu HH, Yue CL, Lu GM, Zuo XN*. Putting age-related task activation into large-scale brain networks: A meta-analysis of 114 fMRI studies on healthy aging. Neurosci Biobehav Rev. 2015; 57:156-174. [In this review, we analyzed the network distribution of altered brain activations derived from a meta-analysis on 114 FMRI studies of healthy aging. This revealed that the frontoparietal network plays a crucial rule of modulating the degree of brain-behavior relationships as a functional regulation hub network.] [Control System in the Brain proposed by Dr. Cole.] NBR-AGING
Jiang L, Xu T, He Y, Hou XH, Wang J, Cao XY, Wei GX, Yang Z, He Y, Zuo XN*. Toward neurobiological characterization of functional homogeneity in the human cortex: Regional variation, morphological association and functional covariance network organization. Brain Struct Funct. 2015; 220: 2485-2507. [We assigned 2dReHo with potential neurobiological significance by examining its regional, individual differences as well as their functional covariances. This represents a study of large-scale neuroimaging data by using serveral open-source datasets (e.g., FCP, NKI-RS, HCP).] neurosig
Chen QL, Xu T, Yang WJ, Li YD, Sun JZ, Wang KC, Beaty RE, Zhang QL, Zuo XN, Qiu J*. Individual differences in verbal creative thinking are reflected in the precuneus. Neuropsychologia. 2015; 75: 441-449. [We utilized 2dReHo as a feature of characterizing the local connectivity in combining morphological metrics to investigate brain-behavior association. Using a large sample (N=288) of healthy participants, the individual variability of verbal creative thinking has been related to those of both local functional homogeneity and cortical thickness and volume in the right precuneus.] distance
Jiang L, Xu Y, Zhu XT, Yang Z, Li HJ, Zuo XN*. Local-to-remote cortical connectivity in childhood and adulthood schizophrenia. Transl Psychiatry. 2015; 5: e566. [We investigated distance-dependent miswring profile of functional conenctivity in drug-naive, first-episode schizophrenia patiens durinf both childhood (COS) and adulthood (AOS). We proposed a novel threshold-free surface-based analytic framework to examine local-to-remote functional connectivity profiles in both AOS and COS patients. Diagnosis-age interactions were detectable for both local and remote connectivity profiles.] distance
Yang Z*, Zuo XN*. Big neuroimaging data-informed mind-brain association studies: Methodology and applications. Chinese Sci Bulletin. 2015; 60(11):966-975. [We propose a novel mind-brain association discovery methodology, and discuss the advantage of this neuroimaging data-driven discovery methodology.][Selected as the Cover Highlight Paper for the emerging field of big data in modern psychological sciences.] [This review was written in Chinese and the methodology has been employed to explore structure-function association across 12 brain metrics.] BIG-DATA
Li HJ, Xu Y, Zhang KR, Hoptman MJ, Zuo XN*. Homotopic connectivity in drug-naive, first-episode, early-onset schizophrenia. J Child Psychol Psychiatry. 2015; 56(4):432-443. [Hemispheric connectivity declined in early-onset, drug-naive and first episode schizophrenia. This connectivity changing profile significantly correlated with the degree of negative components in PANSS. Regarding this small-sample study, we validated the findings with both leave-one-out and split-half tests, showing high reproducibility.] EOS-VMHC
Li HJ*, Hou XH, Liu HH, Yue CL, He Y, Zuo XN*. Toward systems neuroscience in mild cognitive impairment and Alzheimer's disease: A meta-analysis of 75 fMRI studies. Hum Brain Mapp. 2015; 36(3):1217-1232. [Total 697 MCI patients and 628 healthy controls were included in MCI meta-analysis, and 421 AD patients and 512 healthy controls were included in AD meta-analysis. MCI and AD showed abnormal regional brain activation as well as their distributions to large-scale brain networks. These system-level observations are valuable to link the declines of cognitive tasks to brain networks in MCI and AD.] AD-MCI
Xu T, Yang Z, Jiang L, Xing XX, Zuo XN*. A Connectome Computation System for discovery science of brain. Sci Bull. 2015; 60(1):86-95. [In this work, we introduced a computational pipeline, namely Connectome Computation System (CCS), to the field of brain connectomics, and demonstrated its usage of mapping lifespan trajectories of cortical thickness and surafce area of common functional networks in the human cerebral cortex.] [Dr. Olaf Sporns commented this work as a Research Highlight entitled as 'Enabling discovery science in human connectomics'.] [China Science Daily] CCS
Zuo XN*, Anderson JS, Bellec P, Birn RM, Biswal BB, Blautzik J, et al. An open science resource for establishing reliability and reproducibility in functional connectomics. Sci. Data. 2014, 1:140049. [CoRR Website] [CoRR Collection] [Article Metrics] [Comments from Dr. Pestilli: Test-retest measurements and digital validation for in vivo neuroscience.] [Author's Corner: A Testbed for Reproducible and Standardized Human MRI Connectomics] [Interview with Dr. Milham: Data Matters] [Special Issue at Frontiers in Neuroscience: Reliability and Reproducibility in Functional Connectomics] [Brain Hack 2016 in Vienna] CoRR
Jiang L, Hou XH, Yang N, Yang Z, Zuo XN*. Examination of local functional homogeneity in autism. BioMed Res Inter. 2014; Volume 2014, Article ID 174371, 10 pages. [In this work, we demonstrated the use of surface-based ReHo measure, namely 2dReHo, to detect differences in short-distance (around 4-8 mm) local functional connectivity between ASD and healty controls from ABIDE database.] [This is one paper included in a special issue Toward a Meta-Analytic Synthesis of the Resting-State fMRI Literature for Clinical Populations, edited by Yu-Feng Zang, Xi-Nian Zuo, Michael Milham and Mark Hallet.] 2dReHo-MDD
Di Martino A, Fair DA, Kelly C, Satterthwaite TD, Castellanos FX, Thomason ME, Craddock RC, Luna B, Leventhal BL, Zuo XN, Milham MP*. Unraveling the miswired connectome: A developmental perspective. Neuron. 2014; 83(6):1335-353. [In this perspective, we scope recent advances in pediatric imaging of the brain connectome as the field faces the challenge of unraveling developmental miswiring. We highlight promises while also providing a pragmatic review of the many obstacles ahead that must be overcome to significantly impact public health.] Abnormal developing brain
Betzel RF, Byrge L, He Y, Goni J, Zuo XN, Sporns O*. Changes in structural and functional connectivity among resting-state networks across the human lifespan. Neuroimage. 2014; 102:345-357. [Using a comprehensive functional parcellation of the human brain, we mapped out the trajectory of the structure-function relationship in the brain connectome across the human life span. This work provides emperical data for further investigation on the brain's dynamic model at a large temporal scale and its generative theory.] Structure-Function Relationship across Lifespan
Yang Z*, Huang Z, Gonzalez-Castillo J, Dai R, Northoff G, Bandettini P. Using fMRI to decode true thoughts independent of intention to conceal. Neuroimage 2014; 99:80-92. [Using MVPA to fMRI images, Dr. Yang decodes true thoughts preceding the overt responses to questions. The left middle frontal gyrus (part of DLPFC) is a key region for such a decoding process, whose accuracy increases with the degree of intra-individual trial averaging. Notably, brain activity patterns encoding true thoughts are similar in different intentions.] Deconde-Truth
Yang Z, Xu Y*, Xu T, Hoy CW, Handwerker DA, Chen G, Northoff G, Zuo XN*, Bandettini PA. Brain network informed subject community detection in early-onset schizophrenia. Sci Rep. 2014; 4: 5549. [As one of our representative work, network-based data mining approach was developed based upon both ICA and Google PageRank algorithms to implement an RDoC-like study. Specifically, with objective features of the EOS brains, we try to explore the matchness of individuals between diagnoisis condition and health condition as well as among sub-types of symptoms within EOS.] SREPORT-EOS
Zuo XN* and Xing XX*. Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: A systems neuroscience perspective. Neurosci Biobehav Rev. 2014; 45:100-118. [In this review, we discuss the main issues with low reliability related to sub-optimal design and the choice of data processing options. This calls large-sample test-retest data to rectify both the within-subject and between-subject variability of RFMRI measurements and accelerate the application of functional connectomics. As an echo of this call, the release of CoRR will speed up the standardization on the protocols in human brain connectomics.] NBR-TRT
Wei GX, Dong HM, Yang Z, Luo J*, Zuo XN*. Tai Chi Chuan optimizes the functional organization of the intrinsic human brain architecture in older adults. Front. Aging Neurosci. 2014; 8:74. [In this work, we used surface-based measure of the local functional homogeneity to touch the TCC-induced fulctional changes of the human brain in older adults. The findings are very interesting and informative to understandings of the biological meaning of ReHo, relating to the complexity of information processing (specialization versus integration) among diferent brain areas.] FAN-TCC
Li HJ, Cao XH, Zhu XT, Zhang AX, Hou XH, Xu Y, Zuo XN*, Zhang KR*. Surface-based regional homogeneity in first-episode, drug-naive major depression: a resting-state fMRI study. Special issue on Translational Neuroimaging of the Mood and Anxiety Disorders, BioMed Res Inter. 2014; Volume 2014, Article ID 374828, 7 pages. [In this work, we demonstrated the use of surface-based ReHo measure on detection of differences in local functional homogeneity between MDD and healty controls.][This is one paper included in a special issue Translational Neuroimaging of the Mood and Anxiety Disorders.] 2dReHo-MDD
Yang Z*, Chang C, Xu T, Jiang L, Handwerker DA, Castellanos FX, Milham MP, Bandettini PA, Zuo XN*. Connectivity trajectory across lifespan differentiates the precuneus from the default network. Neuroimage. 2014; 89:45-56. [In this work, we demonstrated evidence on the functional heterogeneity of the posteromedial cortex (precuneus and posterior cingulate cortex) regrading their lifespan dynamics. This finding has great implications for understanding the functional roles of the default network throughout life and will guide relavant interpretation of alterations in brain disorders.] gRAICAR-Lifespan
Cao M, Wang JH, Dai ZJ, Cao XY, Jiang LL, Fan FM, Song XW, Xia MR, Shu N, Dong Q, Milham MP, Castellanos FX, Zuo XN*, He Y*. Topological organization of the human brain functional connectome across the lifespan. Dev Cogn Neurosci. 2014; 7C:76-93. [This work represents the first examination of the lifespan changes in the human functional connectomes. These findings have been replicated many times by different laboratories around the world.][Top10 OA Articles; Most Downloaded Articles; Most Cited Papers] [This journal gets an increasing impact factor: 5-yrs IF = 4.582.] reproEOEC
Liu D, Dong Z, Zuo XN, Wang J, Zang Y. Eyes-open/eyes-closed dataset sharing for reproducibility evaluation of resting state FMRI data analysis methods. Neuroinformatics. 2013; 11(4):469-76. [We characterized a dataset in this paper and demonstrated its use for assessing the reproducibility of several local characteristics of the human functional conenctomes. This can be thought as a kind of data paper for this field where it is extremely useful for this community to share their data and intial findings based on.] reproEOEC
Liao XH, Xia MR, Xu T, Dai ZJ, Cao XY, Niu HJ, Zuo XN, Zang YF, He Y. Functional brain hubs and their test-retest reliability: A multiband resting-state functional MRI study. Neuroimage. 2013; 83:969-982. [In this work, we demonstrated the acceptable test-retest reliability of detection of functional hubs although the sample size is relatively small for ICC statistics (N=11). There are also some interesting outcomes such as the high-frequency BOLD signals derived network metrics and scan duration of getting robust and reliable hubs in the functional connectome of the human brain.] trtHUB
Di Martino A, Zuo XN, Kelly C, Grzadzinski R, Mennes M, Schvarcz A, Rodman J, Lord C, Castellanos FX, Milham MP. Shared and distinct intrinsic functional network centrality abnormalities in Autism and Attention-Deficit/Hyperactivity Disorder. Biol Psychiatry. 2013; 74(8):623-632. [At voxel level, we here demonstrated the utilities of combining mutiple network centrality metrics to highlight the need of comparing functional connectome features across different psychiatric disorders.] VNCM
Yan CG, Craddock RC, Zuo XN, Zang YF, Milham MP. Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes. NeuroImage. 2013; 80:246-262. [This is an invited paper for the Special Issue on 'Mapping the Connectome'.] [Our previous cover image on the voxel-wise functional connectomes was selected as part of this cover.][In this work, we highlighted the need of performing standardization algorithms to control unknown global factors in functional connectomics.] Standardized Connectomes
Zhou YX, Milham MP, Zuo XN, Kelly C, Jaggi H, Herbert J, Grossman RI, Ge YL. Functional homotopic changes in multiple sclerosis with resting-state functional MRI. Am J Neuroradio. 2013; 34:1180-1187. [This is another successful application of voxel-wise functional homotopy method. There is a nice demonstration on fiber tracking support for functional homotopy.] Functional Homotopy
Yan CG, Cheung B, Kelly C, Colcombe S, Craddock C, Di Martino A, Li Q, Zuo XN, Castellanos FX, Milham MP*. A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. NeuroImage. 2013; 76:183-201. [Both individual and group levels of head motion correction are recommended in processing/analyzing the RFMRI images.][Top 25 Hottest Articles in April to June 2013: Rank 13; Top 25 Hottest Articles in January to March 2013: Rank 14] 1000 Functional Connectome
Wang J, Zuo XN, Dai Z, Xia M, Zhao Z, Zhao X, Jia J, Han Y, He Y*. Disrupted functional brain connectome in individuals at risk for Alzheimer's disease. Biol Psychiat. 2013;73(5):472-81. [Selected as the Cover Story for the special issue on Disturbances in the Connectome and Risk for Alzheimer's Disease] [Drs. Arthur W. Toga and Paul M. Thompson from UCLA commented our work as 'A highly innovative study revealing how brain networks break down in Alzheimer's disease (AD)' in Connectomics Sheds New Light on Alzheimer's Disease.] 1000 Functional Connectome

Zuo XN*, Zhang Z, He Y, Zang YF.The human functional connectome: Its methodology, developmental trajectory and behavioral association. Chinese Science Bulletin. 2012; 57(35): p3399. [This is an invited review for the special issue on Cognitive Neuroscience and written in Chinese.] [Selected as the Cover Highlight Paper for the emerging field of connectome-association studies accelerated by neuroimaging discovery sciences.]

FCONN

Zuo XN*, Xu T, Jiang L, Yang Z, Cao XY, He Y, Zang YF, Castellanos FX, Milham MP. Toward reliable characterization of functional homogeneity in the human brain: Preprocessing, scan duration, imaging resolution and computational space. Neuroimage. 2013; 65: 374-386. [A related topic was presented at Brain Mapping Unit Networks Meeting and the Cambridge Connectome Consortium: PDF for the presentation available for download] [Top 25 Hottest Articles in October to December 2012: Rank 7]

2dReHo

Hoptman MJ, Zuo XN, D'Angelo D, Mauro CJ, Butler PD, Milham MP, Javitt DC. Decreased interhemispheric coordination in schizophrenia: A resting state fMRI study. Schizophr Res. 2012; 141(1):1-7. [This is our second success of applications with voxel-wise functional homotopy method for mapping the disconnection of functional connectomes in schizophrenia.]

VNHC in Scz

Yang Z*, Zuo XN, Wang P, Li Z, LaConte SM, Bandettini PA, Hu XP. Generalized RAICAR: Discover homogeneous subject (sub)groups by reproducibility of their intrinsic connectivity networks. Neuroimage. 2012; 63(1):403-414. [ Dr. Yang proposed this approach as a fully data-driven method for FMRI data analysis and developed a MATLAB toolbox to implement these algorithms, which can be accessed at CCS web site. ]

gRAICAR-FCONN

Zuo XN*, Ehmke R, Mennes M,Imperati D,Castellanos FX, Sporns O, Milham MP. Network centrality in the human functional connectome. Cerebral Cortex. 2012; 22(8):1862-1875. [In this work, we proposed the way of characterizing the functional connectome connectivity at different scales of the infromation flow by using multiple centrality metrics. This is extremely important regarding the fact that the real or true connectome or brain graph is missing currently, leading in biased metrics.] [Ranks: 26 during Nov., 2011, 3 during Jul., 2012; from The 50 Most-Read Articles and selected as the Cover Story in Cerebral Cortex] [Citations]

CENTRALITY-FCONN

Zuo XN* and Xing XX*. Effects of non-local diffusion on structural MRI preprocessing and default network mapping: Statistical comparisons with isotropic/anisotropic diffusion. PLoS ONE. 2011; 6(10):e26703. [In this work, we statistically evaluated the influence of different spatial smoothing methods on mapping the default network, highlighting the need of more global featured-based smoothing technics in processing MRI images.] [Citations]

NLD-FCONN

Xing XX, Zhou YL, Adelstein JS, Zuo XN*. PDE-based spatial smoothing: A practical demonstration of impacts on MRI brain extraction, tissue segmentation and registration. Magn Res Imag. 2011 April 28; 29(5):731-738. [This is the first time that we demonstrated the impact of different spatial smoothing approaches on the structural MRI processing including brain extraction, registration and segmentation, motivating our next study on its influence on default network mapping.]

NLD

Kelly C, Zuo XN, Di Martino A, Gotimer K, Cox C, Lynch L, Brock D, Imperati D, Garavan H, Rotrosen J, Castellanos FX, Milham MP. Reduced interhemispheric resting state functional connectivity in cocaine addiction. Biol Psychiatry. 2011 Jan 18;69(7):684-692. [This is an application of VMHC method for mapping the functional homotopy.] [Citations] [This is our first successful application of voxel-wise functional homotopy method to examine the cocaine addition.]

Functional Homotopy

Zuo XN*, Kelly C, Di Martino A, Mennes M, Margulies DS, Bangaru S, Grzadzinski R, Evans AC, Zang YF, Castellanos FX, Milham MP*. Growing together and growing apart: regional and sex differences in the lifespan developmental trajectories of functional homotopy. J Neurosci. 2010 Nov 10;30(45):15034-43. [Free Access Article][Citations][The first shoot on the lifespan changes of the functional connectomics, focusing on the functional homotopy with the high-resolution homotopic functional connectivity (i.e., voxel-mirrored homotopic connectivity: VMHC).]

Functional Homotopy
Biswal BB, Mennes M, Zuo XN, Gohel S, Kelly C, Smith SM, Beckmann CF, Adelstein JS, Data Contributors, Castellanos FX, Milham MP. Toward discovery science of human brain function. Proc Natl Acad Sci U S A. 2010 Mar 9;107(10):4734-9. [Open Access Article] [Ongoing Connectome Project] [NIMH Director's Blog] [Message from NIDA Director] [Citations] 1000 Functional Connectome
Zuo XN, Di Martino A, Kelly C, Shehzad ZE, Gee DG, Klein DF, Castellanos FX, Biswal BB, Milham MP. The oscillating brain: complex and reliable. Neuroimage. 2010 Jan 15;49(2):1432-45. [Top 25 Hottest Articles in Academic Year from October 2009 to September 2010: Rank 16] [Download PDF] [NYU TRT Dataset at NITRC] [Citations] TRT Reliability of ALFF/fALFF
Zuo XN, Kelly C, Adelstein JS, Klein DF, Castellanos FX, Milham MP. Reliable intrinsic connectivity networks: test-retest evaluation using ICA and dual regression approach. Neuroimage. 2010 Feb 1;49(3):2163-77. [Download PDF] [NYU TRT Dataset at NITRC] [Dual-Regression Templates: 20 components, 42 components] [Citations] TRT reliability of ICA-DR
Yan H*, Zuo XN*, Wang D, Wang J, Zhu C, Milham MP, Zhang D, Zang Y. Hemispheric asymmetry in cognitive division of anterior cingulate cortex: a resting-state functional connectivity study. Neuroimage. 2009 Oct 1;47(4):1579-89. [*Share the first authorship] [Citations] Asymmetry of ACC RSFC

Zuo XN, Zhu CZ, Zang YF. Mean mutual information ratio: a new method for ranking components of ICA. Prog Nat Sci. 2007; 17:154-160. [This is my first paper written after entering this field, putting here as a marker of stepping into the fun :o] [Note: This journal has been merged into Science Bulletin, which is one of the two national journals funded by NSFC. I am currently serving as an Associate Editor of the Life Science. You are welcome to send your work to this new journal.]

MI-ICA-RANK

Ongoing Journal Publications

[1]. Betzel RF, Misic B, He Y, Rumschlag J, Zuo XN, Sporns O*. Functional brain modules reconfigure at multiple scales across the human lifespan. 2016; Neuroimage, Revision Resubmitted. [Preprint at arXiv]

[2]. Hou XH, Li HJ, Zhu XT, Yang N, Jiang L, Zhu L, Liu X, Ke XY, Yang Z, Zuo XN*. Locating cortical networks and cognitive components with atypical activations in autism: A meta-analysis of 115 fMRI studies. 2016; In Revision.

[3]. Zhou Y*, Chen J, Luo Y, Zheng D, Rao LL, Li X, Zhang J, Li S, Zuo XN. Genetic overlap between head motion and functional connectivities in the default network. 2016; Human Brain Mapping, Under Review.

[4]. Fukushima M*, Betzel RF, He Y, de Reus M, van den Heuvel MP, Zuo XN, Sporns O*. Individual variability and connectivity dynamics in modular organization of human cortical functional networks. 2016; NeuroImage, Under Review. [Preprint at arXiv]

[5]. Yan CG*,Yang Z, Colcombe SJ, Zuo XN, Milham MP. Concordance among indices of intrinsic brain function: Inter-individual variation and temporal dynamics perspectives. 2016; NeuroImage, Revision Submitted.

[6]. Zhang YW, Zhao ZL, Qi ZG, Hu Y, Wang YS, Sheng C, Sun Y, Wang X, Jiang LL, Yan CG, Li HJ*, Li KC*, Zuo XN. Local-to-remote cortical connectivity in amnestic mild cognitive impairment. 2016; Neurobiology of Aging, Revision Submitted.

[7]. Zheng X, Huan Z, Liu J, Zuo XN. Wellposedness and convergence of the vector field regularization model in image registration. 2016. Under Review.

[8]. To be posted ...

Other Journal Publications