Home >> Publications >> 2017

1.     Arbabshirani, M.R., Plis, S., Sui, J., Calhoun, V.D., 2017. Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls. Neuroimage 145, 137-165.

2.     Cai, K., Xu, H., Guan, H., Zhu, W., Jiang, J., Cui, Y., Zhang, J., Liu, T., Wen, W., 2017. Identification of Early-Stage Alzheimer's Disease Using Sulcal Morphology and Other Common Neuroimaging Indices. Plos One 12, e0170875.

3.     Chen, Y., Yu, J., Niu, Y., Qin, D., Liu, H., Li, G., Hu, Y., Wang, J., Lu, Y., Kang, Y., Jiang, Y., Wu, K., Li, S., Wei, J., He, J., Wang, J., Liu, X., Luo, Y., Si, C., Bai, R., Zhang, K., Liu, J., Huang, S., Chen, Z., Wang, S., Chen, X., Bao, X., Zhang, Q., Li, F., Geng, R., Liang, A., Shen, D., Jiang, T., Hu, X., Ma, Y., Ji, W., Sun, Y.E., 2017. Modeling Rett Syndrome Using TALEN-Edited MECP2 Mutant Cynomolgus Monkeys. Cell 169, 945-955 e910.

4.     Cocchi, L., Yang, Z., Zalesky, A., Stelzer, J., Hearne, L.J., Gollo, L.L., Mattingley, J.B., 2017. Neural decoding of visual stimuli varies with fluctuations in global network efficiency. Hum Brain Mapp 38, 3069-3080.

5.     Du, Y., Fryer, S.L., Fu, Z., Lin, D., Sui, J., Chen, J., Damaraju, E., Mennigen, E., Stuart, B., Loewy, R.L., Mathalon, D.H., Calhoun, V.D., 2017. Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. Neuroimage.

6.     Du, Y., Lin, D., Yu, Q., Sui, J., Chen, J., Rachakonda, S., Adali, T., Calhoun, V.D., 2017. Comparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI Data. Front Neurosci 11, 267.

7.     Du, Y., Pearlson, G.D., Lin, D., Sui, J., Chen, J., Salman, M., Tamminga, C.A., Ivleva, E.I., Sweeney, J.A., Keshavan, M.S., Clementz, B.A., Bustillo, J., Calhoun, V.D., 2017. Identifying dynamic functional connectivity biomarkers using GIG-ICA: Application to schizophrenia, schizoaffective disorder, and psychotic bipolar disorder. Hum Brain Mapp 38, 2683-2708.

8.     Fan, L., Jiang, T., 2017. Mapping Underlying Maturational Changes in Human Brain. Neuroscience bulletin. 33, 478-480.

9.     Fang, X., Wang, Y., Cheng, L., Zhang, Y., Zhou, Y., Wu, S., Huang, H., Zou, J., Chen, C., Chen, J., Wang, H., Jiang, T., 2017. Prefrontal dysconnectivity links to working memory deficit in first-episode schizophrenia. Brain Imaging Behav.

10.  Genon, S., Li, H., Fan, L., Muller, V.I., Cieslik, E.C., Hoffstaedter, F., Reid, A.T., Langner, R., Grefkes, C., Fox, P.T., Moebus, S., Caspers, S., Amunts, K., Jiang, T., Eickhoff, S.B., 2017. The Right Dorsal Premotor Mosaic: Organization, Functions, and Connectivity. Cereb Cortex 27, 2095-2110.

11.  Genon, S., Reid, A., Li, H., Fan, L., Muller, V.I., Cieslik, E.C., Hoffstaedter, F., Langner, R., Grefkes, C., Laird, A.R., Fox, P.T., Jiang, T., Amunts, K., Eickhoff, S.B., 2017. The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization. Neuroimage.

12.  He, H., Sui, J., Du, Y., Yu, Q., Lin, D., Drevets, W.C., Savitz, J.B., Yang, J., Victor, T.A., Calhoun, V.D., 2017. Co-altered functional networks and brain structure in unmedicated patients with bipolar and major depressive disorders. Brain Struct Funct.

13.  Huang, X., Xu, K., Chu, C., Jiang, T., Yu, S., 2017. Weak Higher-Order Interactions in Macroscopic Functional Networks of the Resting Brain. J Neurosci 37, 10481-10497.

14.  Jiang, R., Abbott, C.C., Jiang, T., Du, Y., Espinoza, R., Narr, K.L., Wade, B., Yu, Q., Song, M., Lin, D., Chen, J., Jones, T., Argyelan, M., Petrides, G., Sui, J., Calhoun, V.D., 2017. SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets. Neuropsychopharmacology.

15.  Lei, G., Zhao, Z., Li, Y., Yu, L., Zhang, X., Yan, Y., Ma, X., Wang, Q., Wang, K., Zhang, D., Shen, W., Qiao, Y., Yang, S., 2017. A method to induce human cortical long-term potentiation by acoustic stimulation. Acta Otolaryngol 137, 1069-1076.

16.  Lerman-Sinkoff, D.B., Sui, J., Rachakonda, S., Kandala, S., Calhoun, V.D., Barch, D.M., 2017. Multimodal neural correlates of cognitive control in the Human Connectome Project. Neuroimage 163, 41-54.

17.  Li, H., Fan, L., Zhuo, J., Wang, J., Zhang, Y., Yang, Z., Jiang, T., 2017a. ATPP: A Pipeline for Automatic Tractography-Based Brain Parcellation. Front Neuroinform 11, 35.

18.  Li, Q., Song, M., Xu, J., Qin, W., Yu, C., Jiang, T., 2016. Cortical thickness development of human primary visual cortex related to the age of blindness onset. Brain Imaging Behav.

19.  Li, Z., Li, C., Fan, L., Jiang, G., Wu, J., Jiang, T., Yin, X., Wang, J., 2017b. Altered microstructure rather than morphology in the corpus callosum after lower limb amputation. Sci Rep 7, 44780.

20.  Lin, D., Chen, J., Ehrlich, S., Bustillo, J.R., Perrone-Bizzozero, N., Walton, E., Clark, V.P., Wang, Y.P., Sui, J., Du, Y., Ho, B.C., Schulz, C.S., Calhoun, V.D., Liu, J., 2017. Cross-Tissue Exploration of Genetic and Epigenetic Effects on Brain Gray Matter in Schizophrenia. Schizophrenia bulletin.

21.  Liu, B., Zhang, X., Cui, Y., Qin, W., Tao, Y., Li, J., Yu, C., Jiang, T., 2017a. Polygenic Risk for Schizophrenia Influences Cortical Gyrification in 2 Independent General Populations. Schizophrenia bulletin 43, 673-680.

22.  Liu, L., Yuan, C., Ding, H., Xu, Y., Long, M., Li, Y., Liu, Y., Jiang, T., Qin, W., Shen, W., Yu, C., 2017b. Visual deprivation selectively reshapes the intrinsic functional architecture of the anterior insula subregions. Sci Rep 7, 45675.

23.  Liu, S., Wang, Y., Xu, K., Wang, Z., Fan, X., Zhang, C., Li, S., Qiu, X., Jiang, T., 2017c. Relationship between necrotic patterns in glioblastoma and patient survival: fractal dimension and lacunarity analyses using magnetic resonance imaging. Sci Rep 7, 8302.

24.  Long, H., Liu, B., Wang, C., Zhang, X., Li, J., Yu, C., Jiang, T., 2017. Interaction effect between 5-HTTLPR and HTR1A rs6295 polymorphisms on the frontoparietal network. Neuroscience 362, 239-247.

25.  Ma, G., Yang, D., Qin, W., Liu, Y., Jiang, T., Yu, C., 2017. Enhanced Functional Coupling of Hippocampal Sub-regions in Congenitally and Late Blind Subjects. Front Neurosci 10, 612.

26.  Meng, X., Jiang, R., Lin, D., Bustillo, J., Jones, T., Chen, J., Yu, Q., Du, Y., Zhang, Y., Jiang, T., Sui, J., Calhoun, V.D., 2017. Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data. Neuroimage 145, 218-229.

27.  Niu, Q., Yang, L., Song, X., Chu, C., Liu, H., Zhang, L., Li, Y., Zhang, X., Cheng, J., Li, Y., 2017. Abnormal resting-state brain activities in patients with first-episode obsessive-compulsive disorder. Neuropsychiatr Dis Treat 13, 507-513.

28.  Pang, R., Zhan, Y., Zhang, Y., Guo, R., Wang, J., Guo, X., Liu, Y., Wang, Z., Li, K., 2017. Aberrant Functional Connectivity Architecture in Participants with Chronic Insomnia Disorder Accompanying Cognitive Dysfunction: A Whole-Brain, Data-Driven Analysis. Front Neurosci 11, 259.

29.  Qi S, Yang X, Zhao L, Calhoun VD, Perrone-Bizzozero N, Liu S, Jiang R, Jiang T, Sui J, Ma X. 2017. MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder. Brain. In press.

30.  Reid, A.T., Li, H., Fan, L., Muller, V., Cieslik, E.C., Hoffstaedter, F., Langner, R., Grefkes, C., Laird, A.R., Fox, P.T., Jiang, T., Amunts, K., Eickhoff, S., 2017. The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization. Neuroimage.

31.  Shen, J., Qin, W., Xu, Q., Xu, L., Xu, J., Zhang, P., Liu, H., Liu, B., Jiang, T., Yu, C., 2017. Modulation of APOE and SORL1 genes on hippocampal functional connectivity in healthy young adults. Brain Struct Funct.

32.  Shi, L., Hu, E., Wang, Z., Liu, J., Li, J., Li, M., Chen, H., Yu, C., Jiang, T., Su, B., 2017. Regional selection of the brain size regulating gene CASC5 provides new insight into human brain evolution. Hum Genet 136, 193-204.

33.  Si, J., Zhang, X., Zhang, Y., Jiang, T., 2017. Hemispheric differences in electrical and hemodynamic responses during hemifield visual stimulation with graded contrasts. Biomed Opt Express 8, 2018-2035.

34.  Silva, R.F., Plis, S.M., Sui, J., Pattichis, M.S., Adali, T., Calhoun, V.D., 2016. Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling. IEEE J Sel Top Signal Process 10, 1134-1149.

35.  Song, M., Yang, Z., Sui, J., Jiang, T., 2017. Biological Subtypes Bridge Diagnoses and Biomarkers: A Novel Research Track for Mental Disorders. Neuroscience bulletin.

36.  Sun, Y., Wang, Y., Lu, J., Liu, R., Schwarz, C.G., Zhao, H., Zhang, Y., Xu, L., Zhu, B., Zhang, B., Liu, B., Wan, S., Xu, Y., 2017. Disrupted functional connectivity between perirhinal and parahippocampal cortices with hippocampal subfields in patients with mild cognitive impairment and alzheimer's disease. Oncotarget.

37.  Wade, B.S.C., Sui, J., Hellemann, G., Leaver, A.M., Espinoza, R.T., Woods, R.P., Abbott, C.C., Joshi, S.H., Narr, K.L., 2017. Inter and intra-hemispheric structural imaging markers predict depression relapse after electroconvulsive therapy: a multisite study. Transl Psychiatry 7, 1270.

38.  Wang, J., Xie, S., Guo, X., Becker, B., Fox, P.T., Eickhoff, S.B., Jiang, T., 2017. Correspondent Functional Topography of the Human Left Inferior Parietal Lobule at Rest and Under Task Revealed Using Resting-State fMRI and Coactivation Based Parcellation. Hum Brain Mapp 38, 1659-1675.

39.  Wang, J., Zuo, Z., Xie, S., Miao, Y., Ma, Y., Zhao, X., Jiang, T., 2017. Parcellation of Macaque Cortex with Anatomical Connectivity Profiles. Brain Topogr.

40.  Wang, T., Zhang, X., Li, A., Zhu, M., Liu, S., Qin, W., Li, J., Yu, C., Jiang, T., Liu, B., 2017. Polygenic risk for five psychiatric disorders and cross-disorder and disorder-specific neural connectivity in two independent populations. Neuroimage Clin 14, 441-449.

41.  Wang, X., Liu, S., Liu, Z., 2017d. Underwater sonar image detection: A combination of non-local spatial information and quantum-inspired shuffled frog leaping algorithm. Plos One 12, e0177666.

42.  Wei, X., Yin, Y., Rong, M., Zhang, J., Wang, L., Wu, Y., Cai, Q., Yu, C., Wang, J., Jiang, T., 2017. Paracingulate Sulcus Asymmetry in the Human Brain: Effects of Sex, Handedness, and Race. Sci Rep 7, 42033.

43.  Wu, H., Sun, H., Wang, C., Yu, L., Li, Y., Peng, H., Lu, X., Hu, Q., Ning, Y., Jiang, T., Xu, J., Wang, J., 2017a. Abnormalities in the structural covariance of emotion regulation networks in major depressive disorder. J Psychiatr Res 84, 237-242.

44.  Wu, S., Wang, H., Chen, C., Zou, J., Huang, H., Li, P., Zhao, Y., Xu, Q., Zhang, L., Wang, H., Pandit, S., Dahal, S., Chen, J., Zhou, Y., Jiang, T., Wang, G., 2017b. Task Performance Modulates Functional Connectivity Involving the Dorsolateral Prefrontal Cortex in Patients with Schizophrenia. Front Psychol 8, 56.

45.  Wu, T., Grandjean, J., Bosshard, S.C., Rudin, M., Reutens, D., Jiang, T., 2017c. Altered regional connectivity reflecting effects of different anaesthesia protocols in the mouse brain. Neuroimage 149, 190-199.

46.  Xia, X., Fan, L., Cheng, C., Eickhoff, S.B., Chen, J., Li, H., Jiang, T., 2017. Multimodal connectivity-based parcellation reveals a shell-core dichotomy of the human nucleus accumbens. Hum Brain Mapp.

47.  Xiao, X., Wang, L., Wang, C., Yuan, T.F., Zhou, D., Zheng, F., Li, L., Grigoroiu-Serbanescu, M., Ikeda, M., Iwata, N., Takahashi, A., Kamatani, Y., Kubo, M., Preisig, M., Kutalik, Z., Castelao, E., Pistis, G., Amin, N., van Duijn, C.M., Forstner, A.J., Strohmaier, J., Hecker, J., Schulze, T.G., Muller-Myhsok, B., Reif, A., Mitchell, P.B., Martin, N.G., Schofield, P.R., Cichon, S., Nothen, M.M., Chang, H., Luo, X.J., Fang, Y., Yao, Y.G., Zhang, C., Rietschel, M., Li, M., Advanced Collaborative Study of Mood Disorder Team, M.B.C., 2017a. Common variants at 2q11.2, 8q21.3, and 11q13.2 are associated with major mood disorders. Transl Psychiatry 7, 1273.

48.  Xiao, X., Zheng, F., Chang, H., Ma, Y., Yao, Y.G., Luo, X.J., Li, M., 2017b. The Gene Encoding Protocadherin 9 (PCDH9), a Novel Risk Factor for Major Depressive Disorder. Neuropsychopharmacology.

49.  Xu, J., Qin, W., Li, Q., Li, W., Liu, F., Liu, B., Jiang, T., Yu, C., 2017. Prefrontal Volume Mediates Effect of COMT Polymorphism on Interference Resolution Capacity in Healthy Male Adults. Cereb Cortex 27, 5211-5221.

50.  Ye, C., 2017. Tissue microstructure estimation using a deep network inspired by a dictionary-based framework. Medical Image Analysis 42, 288-299.

51.  Ye, C., Prince, J.L., 2017. Dictionary-based fiber orientation estimation with improved spatial consistency. Medical Image Analysis 44, 41-53.

52.  Ye, C., Prince, J.L., 2017. Probabilistic tractography using Lasso bootstrap. Medical Image Analysis 35, 544-553.

53.  Yu, H., Yan, H., Li, J., Li, Z., Zhang, X., Ma, Y., Mei, L., Liu, C., Cai, L., Wang, Q., Zhang, F., Iwata, N., Ikeda, M., Wang, L., Lu, T., Chinese Schizophrenia Collaboration, G., Li, M., Xu, H., Wu, X., Liu, B., Yang, J., Li, K., Lv, L., Ma, X., Wang, C., Li, L., Yang, F., Jiang, T., Shi, Y., Li, T., Zhang, D., Yue, W., 2017a. Common variants on 2p16.1, 6p22.1 and 10q24.32 are associated with schizophrenia in Han Chinese population. Mol Psychiatry 22, 954-960.

54.  Yu, Q., Du, Y., Chen, J., He, H., Sui, J., Pearlson, G., Calhoun, V.D., 2017b. Comparing brain graphs in which nodes are regions of interest or independent components: A simulation study. J Neurosci Methods 291, 61-68.

55.  Zhang, J., Su, J., Wang, M., Zhao, Y., Zhang, Q.T., Yao, Q., Lu, H., Zhang, H., Li, G.F., Wu, Y.L., Liu, Y.S., Liu, F.D., Zhuang, M.T., Shi, Y.H., Hou, T.Y., Zhao, R., Qiao, Y., Li, J., Liu, J.R., Du, X., 2017a. The Posterior Insula Shows Disrupted Brain Functional Connectivity in Female Migraineurs Without Aura Based on Brainnetome Atlas. Sci Rep 7, 16868.

56.  Zhang, N., Liu, H., Qin, W., Liu, B., Jiang, T., Yu, C., 2017b. APOE and KIBRA Interactions on Brain Functional Connectivity in Healthy Young Adults. Cereb Cortex 27, 4797-4805.

57.  Zhang, Y., Fan, L., Caspers, S., Heim, S., Song, M., Liu, C., Mo, Y., Eickhoff, S.B., Amunts, K., Jiang, T., 2017c. Cross-cultural consistency and diversity in intrinsic functional organization of Broca's Region. Neuroimage 150, 177-190.

58.  Zhang, Y., Fang, T., Wang, Y., Guo, X., Alarefi, A., Wang, J., Jiang, T., Zhang, J., 2016b. Occipital cortical gyrification reductions associate with decreased functional connectivity in amyotrophic lateral sclerosis. Brain Imaging Behav.

59.  Zheng, F., Xie, W., 2017. High-sensitivity C-reactive protein and cognitive decline: the English Longitudinal Study of Ageing. Psychological Medicine, 1-9.

60.  Zheng, F., Yan, H., Liu, B., Yue, W., Fan, L., Liao, J., Cui, Y., Lu, T., Jiang, T., Zhang, D., 2017. ALDH2 Glu504Lys Confers Susceptibility to Schizophrenia and Impacts Hippocampal-Prefrontal Functional Connectivity. Cereb Cortex 27, 2034-2040.

Conference

61.  Ye, C., Prince, J.L., 2017. Fiber Orientation Estimation Guided by a Deep Network. Med Image Comput Comput Assist Interv 10433, 575-583.

62.  Zhao, K., Ding, Y., Wang, P., Dou, X., Zhou, B., Yao, H., An, N., Zhang, Y., Zhang, X., Liu, Y., 2017. Early classification of Alzheimer's disease using hippocampal texture from structural MRI. In: Gimi, A.K.B. (Ed.), Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 101372E, Orlando, Florida, United States pp. 101372E-101377.

63.  Gao S, Osuch EA, Wammes M, Théberge J, Jiang T, Calhoun VD, Sui J. 2017. Discriminating Bipolar Disorder from Major Depression Based on Kernel SVM Using Functional Independent Components. IEEE Conference on Machine Learning and Signal Processing(MLSP) September 25-28, Roppongi, Tokyo, Japan.

64.  Jiang R, Qi S, Du Y, Yan W, Calhoun VD, Jiang T, Sui J. 2017. Predicting Individualized Intelligence Quotient Scores Using Brainnetome-Atlas Based Functional Connectivity. Machine Learning For Signal Processing (MLSP) 2017. September 25-28, Roppongi, Tokyo, Japan.

 

65.  Yan W, Plis S, Calhoun VD, Liu S, Jiang R, Jiang T, Sui J. 2017. Discriminating schizophrenia from normal Controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method. Paper presented at: IEEE MLSP 2017,; September 25-28, Tokyo, Japan.