Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophrenia
Open accessAbstract
Multi-modal fusion is an effective approach to better understand brain diseases. However, most such instances have been limited to pair-wise fusion; because there are often more than two imaging modalities available per subject, there is a need for approaches that can combine multiple datasets optimally. In this paper, we extended our previous two-way fusion model called “multimodal CCA +joint ICA”, to three or N way fusion, that enables robust identification of correspondence among N data types and allows one to investigate the important question of whether certain disease risk factors are shared or distinct across multiple modalities. We compared “mCCA+jICA” with its alternatives in a 3-way fusion simulation and verified its advantages in both decomposition accuracy and modal linkage detection. We also applied it to real functional Magnetic Resonance Imaging (fMRI)-Diffusion Tensor Imaging (DTI) and structural MRI fusion to elucidate the abnormal architecture underlying schizophrenia (n=97) relative to healthy controls (n=116). Both modality-common and modality-unique abnormal regions were identified in schizophrenia. Specifically, the visual cortex in fMRI, the anterior thalamic radiation (ATR) and forceps minor in DTI, and the parietal lobule, cuneus and thalamus in sMRI were linked and discriminated between patients and controls. One fMRI component with regions of activity in motor cortex and superior temporal gyrus individually discriminated schizophrenia from controls. Finally, three components showed significant correlation with duration of illness (DOI), suggesting that lower gray matter volumes in parietal, frontal, temporal lobe and cerebellum are associated with increased DOI, along with white matter disruption in ATR and cortico-spinal tracts. Findings suggest that the identified fractional anisotropy changes may relate to the corresponding functional/structural changes in brain that are thought to play a role in the clinical expression of schizophrenia. The proposed “mCCA +jICA” method showed promise for elucidating the joint or coupled neuronal abnormalities underlying mental illnesses and improves our understanding of the disease process.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Supervised fusion can capture multimodal co-varying patterns related to specific clinical measures.
“Multimodal fusion is focused on jointly identifying links between multimodal data, and can help identify the neural mechanisms underlying complex brain disorders, especially supervised fusion that can capture multimodal co-varying patterns related to specific clinical measures [6, 7].”
From Confound Controlled Multimodal Neuroimaging Data Fusion and Its Application to Developmental Disorders (2025) · cites this paper as [6]
The Introduction describes fusion methods that identify covariation across imaging modalities, and Results > Correlation with Behavior Information relates extracted components to illness duration and symptom scores (page numbers unavailable). These passages support the multimodal-pattern and clinical-measure aspects, but do not establish that clinical measures supervised the fusion; the reported correlations were assessed after component extraction. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986 · see citing works
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507 · see citing works
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150 · see citing works
GPOWER: A general power analysis program
Erdfelder, E., Faul, F., & Buchner, A. (1996) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03203630 · Cited by 4,864 · see citing works
Spatial registration and normalization of images
Friston, K. J., Ashburner, J., Frith, C., Poline, J.-B., Heather, J. D., & Frackowiak, R. S. J. (1995) · Human Brain Mapping · doi:10.1002/hbm.460030303 · Cited by 3,744 · see citing works
Structured Clinical Interview for DSM-IV Axis I Disorders
Spitzer, R. L., First, M. B., & Gibbon, M. (1997) · Medical Entomology and Zoology · Cited by 3,582 · see citing works
Scale for Assessment of Positive Symptoms (SAPS) 1984
Andreasen, N. C. (1995) · Open Scholarship Institutional Repository (Washington University in St. Louis) · Cited by 2,423 · see citing works
Self-citationNegative v Positive Schizophrenia
Andreasen, N. C. (1982) · Archives of General Psychiatry · doi:10.1001/archpsyc.1982.04290070025006 · Cited by 2,008 · see citing works
Self-citationScale for the Assessment of Negative Symptoms
Andreasen, N. C. (1982) · PsycTESTS Dataset · doi:10.1037/t12696-000 · Cited by 1,878 · see citing works
Self-citationThe Scale for the Assessment of Negative Symptoms (SANS): Conceptual and Theoretical Foundations
Andreasen, N. C. (1989) · The British Journal of Psychiatry · doi:10.1192/s0007125000291496 · Cited by 1,532 · see citing works
Self-citationHua, K., Zhang, J., Wakana, S., Jiang, H., Li, X., Reich, D. S., Calabresi, P. A., Pekar, J. J., van Zijl, P. C. M., & Mori, S. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.053 · Cited by 1,507 · see citing works
Long-term Antipsychotic Treatment and Brain Volumes
Ho, B., Andreasen, N. C., Ziebell, S., Pierson, R. K., & Magnotta, V. A. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.199 · Cited by 975 · see citing works
Self-citationEstimating the number of independent components for functional magnetic resonance imaging data
Li, Y., Adalı, T., & Calhoun, V. D. (2007) · Human Brain Mapping · doi:10.1002/hbm.20359 · Cited by 912 · see citing works
Self-citationCanonical analysis of several sets of variables
Kettenring, J. R. (1971) · Biometrika · doi:10.1093/biomet/58.3.433 · Cited by 798 · see citing works
Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia
Douaud, G., Smith, S. M., Jenkinson, M., Behrens, T. E. J., Johansen‐Berg, H., Vickers, J., James, S., Voets, N., Watkins, K. E., Matthews, P. M., et al. (2007) · Brain · doi:10.1093/brain/awm184 · Cited by 763 · see citing works
Calhoun, V. D., Kiehl, K. A., & Pearlson, G. D. (2008) · Human Brain Mapping · doi:10.1002/hbm.20581 · Cited by 567 · see citing works
Self-citationIndependent component analysis for biomedical signals
James, C. J., & Hesse, C. W. (2004) · Physiological Measurement · doi:10.1088/0967-3334/26/1/r02 · Cited by 494 · see citing works
Skudlarski, P., Jagannathan, K., Anderson, K., Stevens, M. C. G., Calhoun, V. D., Skudlarska, B. A., & Pearlson, G. D. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.03.035 · Cited by 467 · see citing works
Self-citationOlesen, P. J., Nagy, Z., Westerberg, H., & Klingberg, T. (2003) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2003.09.003 · Cited by 397 · cited 1× · see citing works
“Multiple previous studies that combined function and structure (Camara et al., 2010; Olesen et al., 2003; Rykhlevskaia et al., 2008; Sui et al., 2012) provide support for the assumption that components decomposed from each modality have some degree of correlation between their mixing pro fi les…”
BackgroundLui, S., Li, T., Deng, W., Jiang, L., Wu, Q., Tang, H., Yue, Q., Huang, X., Chan, R. C. K., Collier, D. A., et al. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.84 · Cited by 364 · see citing works
Self-citationAnand, A., Li, Y., Wang, Y., Lowe, M. J., & Džemidžić, M. (2009) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2008.03.012 · Cited by 354 · see citing works
What is the best similarity measure for motion correction in fMRI time series?
Freire, L., Roche, A., & Mangin, J. (2002) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2002.1009383 · Cited by 353 · see citing works
Joint Blind Source Separation by Multiset Canonical Correlation Analysis
Li, Y., Adalı, T., Wang, W., & Calhoun, V. D. (2009) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2009.2021636 · Cited by 337 · see citing works
Self-citationDysregulation of Arousal and Amygdala-Prefrontal Systems in Paranoid Schizophrenia
Williams, L. M., Das, P., Harris, A. W. F., Liddell, B. B., Brammer, M. J., Olivieri, G., Skerrett, D., Phillips, M. L., David, A. S., Peduto, A., et al. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.3.480 · Cited by 337 · see citing works
Linked independent component analysis for multimodal data fusion
Groves, A. R., Beckmann, C. F., Smith, S. M., & Woolrich, M. W. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.073 · Cited by 319 · see citing works
Cannon, T. D., Thompson, P. M., van Erp, T. G. M., Toga, A. W., Poutanen, V.-P., HUTTUNEN, M. O., Lönnqvist, J. K., Standerskjold-Nordenstam, C.-G., Narr, K. L., Khaledy, M., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.052023499 · Cited by 315 · see citing works
Sussmann, J. E., Lymer, G. K. S., McKirdy, J. W., Moorhead, T. W. J., Maniega, S. M., Job, D. E., Hall, J., Bastin, M. E., Johnstone, E. C., Lawrie, S. M., et al. (2009) · Bipolar Disorders · doi:10.1111/j.1399-5618.2008.00646.x · Cited by 273 · see citing works
Canonical Correlation Analysis for Data Fusion and Group Inferences
Correa, N. M., Adalı, T., Li, Y., & Calhoun, V. D. (2010) · IEEE Signal Processing Magazine · doi:10.1109/msp.2010.936725 · Cited by 264 · see citing works
Self-citationJing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Pearlson, G. D., Caprihan, A., Adalı, T., Kiehl, K. A., Liu, J., Yamamoto, J., & Calhoun, V. D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.055 · Cited by 260 · see citing works
Self-citationCalhoun, V. D., Adalı, T., Giuliani, N. R., Pekar, J. J., Kiehl, K. A., & Pearlson, G. D. (2005) · Human Brain Mapping · doi:10.1002/hbm.20166 · Cited by 259 · see citing works
Self-citationOptimized transmission of JPEG2000 streams over wireless channels
Thomos, N., Boulgouris, N. V., & Strintzis, M. G. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2005.860338 · Cited by 258 · see citing works
Steady State Responses: Electrophysiological Assessment of Sensory Function in Schizophrenia
Brenner, C. A., Krishnan, G. P., Vohs, J. L., Ahn, W., Hetrick, W. P., Morzorati, S. L., & O’Donnell, B. F. (2009) · Schizophrenia Bulletin · doi:10.1093/schbul/sbp091 · Cited by 232 · see citing works
Reductions in frontal, temporal and parietal volume associated with the onset of psychosis
Borgwardt, S., McGuire, P. K., Aston, J., Gschwandtner, U., Pflueger, M. O., Stieglitz, R. D., Radue, E. W., & Riecher‐Rössler, A. (2008) · Schizophrenia Research · doi:10.1016/j.schres.2008.08.007 · Cited by 230 · see citing works
Feature-Based Fusion of Medical Imaging Data
Calhoun, V. D., & Adalı, T. (2009) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2008.923773 · Cited by 222 · see citing works
Self-citationYang, H., Liu, J., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Pearlson, G. D., & Calhoun, V. D. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00192 · Cited by 193 · see citing works
Self-citationCombining structural and functional neuroimaging data for studying brain connectivity: A review
Rykhlevskaia, E. I., Gratton, G., & Fabiani, M. (2007) · Psychophysiology · doi:10.1111/j.1469-8986.2007.00621.x · Cited by 188 · see citing works
Negative symptoms in schizophrenia—A review
Mäkinen, J., Miettunen, J., Isohanni, M. K., & Koponen, H. (2008) · Nordic Journal of Psychiatry · doi:10.1080/08039480801959307 · Cited by 173 · see citing works
White matter abnormalities and brain activation in schizophrenia: A combined DTI and fMRI study
Schlösser, R. G. M., Nenadić, I., Wagner, G., Güllmar, D., von Consbruch, K., Köhler, S., Schultz, C. C., Koch, K., Fitzek, C., Matthews, P. M., et al. (2006) · Schizophrenia Research · doi:10.1016/j.schres.2006.09.007 · Cited by 151 · see citing works
Anatomic and Functional Variability: The Effects of Filter Size in Group fMRI Data Analysis
White, T. J. H., OʼLeary, D. S., Magnotta, V. A., Arndt, S. V., Flaum, M. A., & Andreasen, N. C. (2001) · NeuroImage · doi:10.1006/nimg.2000.0716 · Cited by 148 · see citing works
Self-citationSchröder, J., Essig, M., Baudendistel, K. T., Jahn, T., Gerdsen, I., Stockert, A., Schad, L. R., & Knopp, M. V. (1999) · NeuroImage · doi:10.1006/nimg.1998.0387 · Cited by 146 · see citing works
Wu, L., Eichele, T., & Calhoun, V. D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.053 · Cited by 125 · see citing works
Self-citationGlobal White Matter Abnormalities in Schizophrenia: A Multisite Diffusion Tensor Imaging Study
White, T. J. H., Magnotta, V. A., Bockholt, H. J., Williams, S., Wallace, S. R., Ehrlich, S., Mueller, B. A., Ho, B., Jung, R. E., Clark, V. P., et al. (2009) · Schizophrenia Bulletin · doi:10.1093/schbul/sbp088 · Cited by 120 · see citing works
Self-citationVoxel-based Morphometric Multisite Collaborative Study on Schizophrenia
Segall, J. M., Turner, J. A., van Erp, T. G. M., White, T. J. H., Bockholt, H. J., Gollub, R. L., Ho, B., Magnotta, V. A., Jung, R. E., McCarley, R. W., et al. (2008) · Schizophrenia Bulletin · doi:10.1093/schbul/sbn150 · Cited by 119 · see citing works
Self-citationJing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Adalı, T., Pearlson, G. D., & Calhoun, V. D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.026 · Cited by 118 · see citing works
Self-citationDemirci, O., Clark, V. P., Magnotta, V. A., Andreasen, N. C., Lauriello, J., Kiehl, K. A., Pearlson, G. D., & Calhoun, V. D. (2008) · Brain Imaging and Behavior · doi:10.1007/s11682-008-9028-1 · Cited by 107 · see citing works
Self-citationParietal lobe volume deficits in schizophrenia spectrum disorders
Zhou, S.-Y., Suzuki, M., Takahashi, T., Hagino, H., Kawasaki, Y., Matsui, M., Seto, H., & Kurachi, M. (2006) · Schizophrenia Research · doi:10.1016/j.schres.2006.08.032 · Cited by 102 · see citing works
A CCA+ICA based model for multi-task brain imaging data fusion and its application to schizophrenia
Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Adalı, T., Pearlson, G. D., Yang, H., Sponheim, S. R., White, T. J. H., & Calhoun, V. D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.069 · Cited by 95 · see citing works
Self-citationCalhoun, V. D., Kiehl, K. A., Liddle, P. F., & Pearlson, G. D. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.01.011 · Cited by 91 · see citing works
Self-citationSpatial Working Memoryand Planning Ability: Contrasts between Schizophreniaand Bipolar i Disorder
Badcock, J. C., Michie, P. T., & Rock, D. J. (2005) · Cortex · doi:10.1016/s0010-9452(08)70294-6 · Cited by 79 · see citing works
Hamilton, L. S., Altshuler, L. L., Townsend, J. D., Bookheimer, S. Y., Phillips, O. R., Fischer, J., Woods, R. P., Mazziotta, J. C., Toga, A. W., Nuechterlein, K. H., et al. (2009) · Human Brain Mapping · doi:10.1002/hbm.20820 · Cited by 76 · see citing works
Càmara, E., Rodríguez‐Fornells, A., & Münte, T. F. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.0111-10.2010 · Cited by 76 · see citing works
Effect of age at onset of schizophrenia on white matter abnormalities
Kyriakopoulos, M., Pérez‐Iglesias, R., Woolley, J. B., Kanaan, R., Vyas, N. S., Barker, G. J., Frangou, S., & McGuire, P. K. (2009) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.108.055376 · Cited by 76 · see citing works
A Selective Review of Multimodal Fusion Methods in Schizophrenia
Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Yu, Q., He, H., Pearlson, G. D., & Calhoun, V. D. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00027 · Cited by 70 · see citing works
Self-citationChen, K., Reiman, E. M., Huan, Z., Caselli, R. J., Bandy, D. J., Ayutyanont, N., & Alexander, G. E. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.053 · Cited by 69 · see citing works
Lin, F., McIntosh, A. R., Agnew, J., Eden, G. F., Zeffiro, T. A., & Belliveau, J. W. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00333-1 · Cited by 61 · see citing works
Kim, D. I., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Rachakonda, S., White, T. J. H., Manoach, D. S., Clark, V. P., Ho, B., Schulz, S. C., & Calhoun, V. D. (2010) · Neuroinformatics · doi:10.1007/s12021-010-9077-7 · Cited by 60 · see citing works
Self-citationMapping of Functional Areas in the Human Cortex Based on Connectivity through Association Fibers
Hua, K., Oishi, K., Zhang, J., Wakana, S., Yoshioka, T., Zhang, W., Akhter, K., Li, X., Huang, H., Jiang, H., et al. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn215 · Cited by 60 · see citing works
Lewis, D. A. (2000) · The Neuroscientist · doi:10.1177/107385840000600311 · Cited by 58 · see citing works
A feature-based approach to combine functional MRI, structural MRI and EEG brain imaging data
Calhoun, V. D., Adalı, T., & Liu, J. (2006) · doi:10.1109/iembs.2006.259810 · Cited by 57 · see citing works
Self-citationMeda, S. A., Jagannathan, K., Gelernter, J. E., Calhoun, V. D., Liu, J., Stevens, M. C. G., & Pearlson, G. D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.11.052 · Cited by 52 · see citing works
Self-citationWolf, D. H., Turetsky, B. I., Loughead, J., Elliott, M. A., Pratiwadi, R., Gur, R. E., & Gur, R. C. (2008) · Brain Imaging and Behavior · doi:10.1007/s11682-008-9022-7 · Cited by 52 · see citing works
Fusion of fMRI, sMRI, and EEG data using canonical correlation analysis
Correa, N. M., Li, Y., Adalı, T., & Calhoun, V. D. (2009) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2009.4959601 · Cited by 51 · see citing works
Self-citationMichael, A. M., Baum, S. A., White, T. J. H., Demirci, O., Andreasen, N. C., Segall, J. M., Jung, R. E., Pearlson, G. D., Clark, V. P., Gollub, R. L., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.08.056 · Cited by 50 · see citing works
Self-citationExtracting Intrinsic Functional Networks with Feature-Based Group Independent Component Analysis
Calhoun, V. D., & Allen, E. A. (2012) · Psychometrika · doi:10.1007/s11336-012-9291-3 · Cited by 50 · see citing works
Self-citationPremkumar, P., Fannon, D. G., Kuipers, E., Cooke, M. A., Simmons, A., & Kumari, V. (2008) · Behavioural Brain Research · doi:10.1016/j.bbr.2008.05.012 · Cited by 47 · see citing works
Effective connectivity analysis of fMRI and MEG data collected under identical paradigms
Plis, S., Weisend, M. P., Damaraju, E., Eichele, T., Mayer, A., Clark, V. P., Lane, T. D. R., & Calhoun, V. D. (2011) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2011.04.011 · Cited by 47 · see citing works
Self-citationFrontal lobe volumes in schizophrenia: Effects of stage and duration of illness
Premkumar, P., Kumari, V., Corr, P., & SHARMA, T. (2006) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2006.05.009 · Cited by 36 · see citing works
Is there a neuropathology of schizophrenia?
Stevens, J. R., & Casanova, M. F. (1988) · Biological Psychiatry · doi:10.1016/0006-3223(88)90268-5 · Cited by 35 · see citing works
Impaired inter-hemispheric facilitatory connectivity in schizophrenia
Ribolsi, M., Mori, F., Magni, V., Codecà, C., Kusayanagi, H., Monteleone, F., Rubino, I. A., Siracusano, A., Bernardi, G., Centonze, D., et al. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.08.013 · Cited by 19 · see citing works
Pathologie des Thalamus und Schizophrenie - Ein Überblick
Dános, P. (2004) · Fortschritte der Neurologie · Psychiatrie · doi:10.1055/s-2004-818399 · Cited by 14 · see citing works
Flagged first, then by citations
1 of the 71 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects
Lahat, D., Adali, T., & Jutten, C. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2460697 · Cited by 1,296 · see citing works
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
Arbabshirani, M. R., Plis, S., Sui, J., & Calhoun, V. D. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.079 · Cited by 912 · see citing works
Self-citationCalhoun, V. D., & Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T. (2016) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2015.12.005 · Cited by 451 · see citing works
Self-citationMachine learning in major depression: from classification to treatment outcome prediction
Gao, S., Calhoun, V. D., & Sui, J. (2018) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.13048 · Cited by 370 · see citing works
Self-citationGollub, R. L., Shoemaker, J. M., King, M. D., White, T. J. H., Ehrlich, S., Sponheim, S. R., Clark, V. P., Turner, J. A., Mueller, B. A., Magnotta, V. A., et al. (2013) · Neuroinformatics · doi:10.1007/s12021-013-9184-3 · Cited by 212 · see citing works
Self-citationA technical review of canonical correlation analysis for neuroscience applications
Zhuang, X., Yang, Z., & Cordes, D. (2020) · Human Brain Mapping · doi:10.1002/hbm.25090 · Cited by 210 · see citing works
Lynch, C. J., Gunning, F. M., & Liston, C. M. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.01.012 · Cited by 181 · see citing works
In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia
Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Pearlson, G. D., Du, Y., Yu, Q., Jones, T. R., Chen, J., Jiang, T., Bustillo, J., & Calhoun, V. D. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.02.017 · Cited by 181 · see citing works
Self-citationPTSD-related neuroimaging abnormalities in brain function, structure, and biochemistry
Harnett, N. G., Goodman, A. M., & Knight, D. C. (2020) · Experimental Neurology · doi:10.1016/j.expneurol.2020.113331 · Cited by 185 · see citing works
Towards a brain‐based predictome of mental illness
Rashid, B., & Calhoun, V. D. (2020) · Human Brain Mapping · doi:10.1002/hbm.25013 · Cited by 160 · see citing works
Self-citationSui, J., Huster, R., Yu, Q., Segall, J. M., & Calhoun, V. D. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.044 · Cited by 162 · see citing works
Self-citationA review of multivariate analyses in imaging genetics
Liu, J., & Calhoun, V. D. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00029 · Cited by 124 · see citing works
Self-citationJing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., He, H., Yu, Q., Chen, J., Rogers, J. C., Pearlson, G. D., Mayer, A. R., Bustillo, J., Cañive, J. M., & Calhoun, V. D. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00235 · Cited by 122 · see citing works
Self-citationAdalı, T., Levin‐Schwartz, Y., & Calhoun, V. D. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2461624 · Cited by 111 · see citing works
Self-citationMeng, X., Jiang, R., Lin, D., Bustillo, J., Jones, T., Chen, J., Yu, Q., Du, Y., Zhang, Y., Jiang, T., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.026 · Cited by 106 · see citing works
Self-citationMultimodal Data Fusion Using Source Separation: Application to Medical Imaging
Adalı, T., Levin‐Schwartz, Y., & Calhoun, V. D. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2461601 · Cited by 105 · see citing works
Self-citationQi, S., Calhoun, V. D., van Erp, T. G. M., Bustillo, J., Damaraju, E., Turner, J. A., Du, Y., Yang, J., Chen, J., Yu, Q., et al. (2018) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2725306 · Cited by 99 · see citing works
Self-citationTensor Analysis and Fusion of Multimodal Brain Images
Karahan, E., Rojas-López, P. A., Bringas-Vega, M. L., Valdes-Hernandez, P. A., & Valdes-Sosa, P. A. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2455028 · Cited by 87 · see citing works
He, H., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Du, Y., Yu, Q., Lin, D., Drevets, W. C., Savitz, J. B., Yang, J., Victor, T. A., & Calhoun, V. D. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1451-x · Cited by 90 · see citing works
Self-citationHirjak, D., Rogers, J. P., Wolf, R. C., Kubera, K. M., Fritze, S., Wilson, J. E., Sambataro, F., Fricchione, G. L., Meyer‐Lindenberg, A., Ungvari, G. S., et al. (2024) · Nature Reviews Disease Primers · doi:10.1038/s41572-024-00534-w · Cited by 89 · see citing works
Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data
Dähne, S., Bieszmann, F., Samek, W., Haufe, S., Goltz, D., Gundlach, C., Villringer, A., Fazli, S., & Müller, K. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2425807 · Cited by 88 · see citing works
Cabral, C., Kambeitz‐Ilankovic, L., Kambeitz, J. P., Calhoun, V. D., Dwyer, D., von Saldern, S., Urquijo, M. F., Falkai, P., & Koutsouleris, N. (2016) · Schizophrenia Bulletin · doi:10.1093/schbul/sbw053 · Cited by 88 · see citing works
Self-citationItahashi, T., Yamada, T., Nakamura, M., Watanabe, H., Yamagata, B., Jimbo, D., Shioda, S., Kuroda, M., Toriizuka, K., Kato, N., et al. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.11.019 · Cited by 89 · see citing works
Hirjak, D., Rashidi, M., Kubera, K. M., Northoff, G., Fritze, S., Schmitgen, M. M., Sambataro, F., Calhoun, V. D., & Wolf, R. C. (2019) · Schizophrenia Bulletin · doi:10.1093/schbul/sbz042 · Cited by 84 · see citing works
Self-citationTeipel, S. J., the EDSD study group, Grothe, M. J., Filippi, M., Fellgiebel, A., Dyrba, M., Frisoni, G. B., Meindl, T., Bokde, A. L. W., Hampel, H., et al. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-131829 · Cited by 82 · see citing works
Individual classification of Alzheimer's disease with diffusion magnetic resonance imaging
Schouten, T. M., Koini, M., de Vos, F., Seiler, S., de Rooij, M., Lechner, A., Schmidt, R., van den Heuvel, M. P., van der Grond, J., & Rombouts, S. A. R. B. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.025 · Cited by 80 · see citing works
Multimodal Neuroimaging: Basic Concepts and Classification of Neuropsychiatric Diseases
Tülay, E. E., Metin, B., Tarhan, N., & Arıkan, M. K. (2018) · Clinical EEG and Neuroscience · doi:10.1177/1550059418782093 · Cited by 78 · see citing works
Age‐related structural and functional variations in 5,967 individuals across the adult lifespan
Luo, N., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Abrol, A., Lin, D., Chen, J., Vergara, V. M., Fu, Z., Du, Y., Damaraju, E., Xu, Y. J., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24905 · Cited by 74 · see citing works
Self-citationJing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Castro, E., He, H., Bridwell, D. A., Du, Y., Pearlson, G. D., Jiang, T., & Calhoun, V. D. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6944473 · Cited by 62 · see citing works
Self-citationMohammadi-Nejad, A.-R., Hossein-Zadeh, G.-A., & Soltanian-Zadeh, H. (2017) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2681966 · Cited by 56 · see citing works
Data-driven multimodal fusion: approaches and applications in psychiatric research
Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Zhi, D., & Calhoun, V. D. (2023) · Psychoradiology · doi:10.1093/psyrad/kkad026 · Cited by 55 · see citing works
Self-citationLinked 4-Way Multimodal Brain Differences in Schizophrenia in a Large Chinese Han Population
Liu, S., Wang, H., Song, M., Lv, L., Cui, Y., Liu, Y., Fan, L.-Z., Zuo, N.-M., Xu, K.-B., Du, Y.-H., et al. (2019) · Schizophrenia bulletin · doi:10.1093/schbul/sby045 · Cited by 50 · see citing works
Self-citationThe Developmental Chronnecto-Genomics (Dev-CoG) Study: A Multimodal Study on the Developing Brain
Stephen, J., Solis, I., Janowich, J., Stern, M., Frenzel, Eastman, J. A., Mills, M. S., Embury, C. M., Coolidge, N., Heinrichs-Graham, E., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117438 · Cited by 46 · see citing works
Self-citationZhu, J., Wang, C., Qian, Y., Cai, H., Zhang, S., Zhang, C., Zhao, W., Zhang, T., Zhang, B., Chen, J., et al. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2021.110468 · Cited by 50 · see citing works
Cociu, B. A., Das, S., Billeci, L., Jamal, W., Maharatna, K., Calderoni, S., Narzisi, A., & Muratori, F. (2017) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2017.2680408 · Cited by 49 · see citing works
Multimodal Fusion of Brain Imaging Data: Methods and Applications
Luo, N., Shi, W., Yang, Z., Song, M., & Jiang, T. (2024) · Machine Intelligence Research · doi:10.1007/s11633-023-1442-8 · Cited by 48 · see citing works
Brain mechanisms underlying catatonia: A systematic review
Cattarinussi, G., Gugliotta, A. A., Hirjak, D., Wolf, R. C., & Sambataro, F. (2022) · Schizophrenia Research · doi:10.1016/j.schres.2022.11.002 · Cited by 45 · see citing works
Lin, S., Vavasour, I. M., Kosaka, B., Li, D. K. B., Traboulsee, A. L., MacKay, A. L., & McKeown, M. J. (2018) · Human Brain Mapping · doi:10.1002/hbm.24343 · Cited by 42 · see citing works
Multimodal Integration of Brain Images for MRI-Based Diagnosis in Schizophrenia
Salvador, R. M., Canales-Rodríguez, E. J., Guerrero‐Pedraza, A., Sarró, S., Tordesillas‐Gutiérrez, D., Maristany, T., Crespo‐Facorro, B., McKenna, P. J., & Pomarol‐Clotet, E. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01203 · Cited by 43 · see citing works
Multivariate brain-behaviour associations in psychiatric disorders
Vieira, S., Bolton, T. A. W., Schöttner, M., Baecker, L., Marquand, A. F., Mechelli, A., & Hagmann, P. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02954-4 · Cited by 42 · see citing works
Calhoun, V. D. (2018) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2018.20.2/vcalhoun · Cited by 42 · see citing works
Self-citationMultimodal neural correlates of cognitive control in the Human Connectome Project
Lerman-Sinkoff, D. B., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Rachakonda, S., Kandala, S., Calhoun, V. D., & Barch, D. M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.081 · Cited by 42 · see citing works
Self-citationKaczkurkin, A., Moore, T. M., Sotiras, A., Xia, C., Shinohara, R., & Satterthwaite, T. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.12.015 · Cited by 43 · see citing works
Challenges in Multimodal Data Fusion
Lahat, D., Adalı, T., & Christian Jutten, B. (2014) · Cited by 39 · see citing works
Schizophrenia Shows Disrupted Links between Brain Volume and Dynamic Functional Connectivity
Abrol, A., Rashid, B., Rachakonda, S., Damaraju, E., & Calhoun, V. D. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00624 · Cited by 36 · see citing works
Self-citationXu, X., Lin, L., Sun, S., & Wu, S. (2023) · Reviews in the Neurosciences · doi:10.1515/revneuro-2022-0122 · Cited by 37 · see citing works
Fusion of Medical Sensors Using Adaptive Cloud Model in Local Laplacian Pyramid Domain
Li, W., Du, J., Zhao, Z., & Long, J. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2869432 · Cited by 36 · see citing works
Qu, G., Zhou, Z., Calhoun, V. D., Zhang, A., & Wang, Y. (2025) · Medical Image Analysis · doi:10.1016/j.media.2025.103570 · Cited by 35 · see citing works
Self-citationLevin‐Schwartz, Y., Calhoun, V. D., & Adalı, T. (2017) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2678483 · Cited by 35 · see citing works
Self-citationHirjak, D., Rashidi, M., Fritze, S., Bertolino, A. L., Geiger, L. S., Zang, Z., Kubera, K. M., Schmitgen, M. M., Sambataro, F., Calhoun, V. D., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24755 · Cited by 35 · see citing works
Self-citationOuyang, X., Chen, K., Yao, L., Hu, B., Wu, X., Ye, Q., & Guo, X. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.06.031 · Cited by 35 · see citing works
Lottman, K. K., White, D. M., Kraguljac, N. V., Reid, M. A., Calhoun, V. D., Catao, F., & Lahti, A. C. (2018) · Human Brain Mapping · doi:10.1002/hbm.23906 · Cited by 34 · see citing works
Self-citationStructural mediation of human brain activity revealed by white-matter interpolation of fMRI
Tarun, A., Behjat, H., Bolton, T. A. W., Abramian, D., & Ville, D. V. D. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116718 · Cited by 32 · see citing works
How can neuroimaging facilitate the diagnosis and stratification of patients with psychosis?
Kempton, M. J., & McGuire, P. K. (2014) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2014.07.006 · Cited by 31 · see citing works
Hirjak, D., Meyer‐Lindenberg, A., Sambataro, F., Fritze, S., Kukovic, J., Kubera, K. M., & Wolf, R. C. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2021.110370 · Cited by 30 · see citing works
Stout, D. M., Buchsbaum, M. S., Spadoni, A. D., Risbrough, V. B., Strigo, I. A., Matthews, S. C., & Simmons, A. N. (2018) · Neurobiology of Stress · doi:10.1016/j.ynstr.2018.09.006 · Cited by 30 · see citing works
Adaptive Multimodal Neuroimage Integration for Major Depression Disorder Detection
Wang, Q., Li, L., Qiao, L., & Liu, M. (2022) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2022.856175 · Cited by 27 · see citing works
Crespi, C., Galandra, C., Manera, M. R., Basso, G., Poggi, P., & Canessa, N. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02479 · Cited by 27 · see citing works
fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review
Huang, S., Shao, W., Wang, M., & Zhang, D. (2021) · Machine Intelligence Research · doi:10.1007/s11633-020-1263-y · Cited by 27 · see citing works
Multi-modal intermediate integrative methods in neuropsychiatric disorders: A review
Wang, Y., Tang, S., Ma, R., Zamit, I., Wei, Y., & Pan, Y. (2022) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.11.008 · Cited by 26 · see citing works
Levin‐Schwartz, Y., Song, Y., Schreier, P. J., Calhoun, V. D., & Adalı, T. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.058 · Cited by 26 · see citing works
Self-citationIn search of multimodal brain alterations in Alzheimer's and Binswanger's disease
Fu, Z., Iraji, A., Caprihan, A., Adair, J. C., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Rosenberg, G. A., & Calhoun, V. D. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101937 · Cited by 25 · see citing works
Self-citationLuttenbacher, I., Phillips, A., Kazemi, R., Hadipour, A. L., Sanghvi, I., Martínez-Agosto, J. A., & Adamson, M. M. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.12.042 · Cited by 26 · see citing works
Konukoğlu, E., Coutu, J., Salat, D. H., & Fischl, B. R. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.038 · Cited by 24 · see citing works
Initiative, A. D. N., Viswanath, S. E., Tiwari, P., Lee, G., & Madabhushi, A. (2017) · BMC Medical Imaging · doi:10.1186/s12880-016-0172-6 · Cited by 24 · see citing works
Calamante, F., Smith, R. E., Liang, X., Zalesky, A., & Connelly, A. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1431-1 · Cited by 25 · see citing works
Sensorimotor Neuroscience in Mental Disorders: Progress, Perspectives and Challenges
Hirjak, D., Meyer‐Lindenberg, A., Sambataro, F., & Wolf, R. C. (2021) · Schizophrenia Bulletin · doi:10.1093/schbul/sbab053 · Cited by 20 · see citing works
Liang, L., Chen, Z., Wei, Y., Tang, F., Nong, X., Li, C., Yu, B., Duan, G., Su, J., Mai, W., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102874 · Cited by 20 · see citing works
Joint SVD-Hyperalignment for multi-subject FMRI data alignment
Chen, P.-H., Guntupalli, J. S., Haxby, J. V., & Ramadge, P. J. (2014) · Machine learning for signal processing ... · doi:10.1109/mlsp.2014.6958912 · Cited by 18 · see citing works
Wang, M., Huang, T., Fang, J., Calhoun, V. D., & Wang, Y. (2019) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2019.2899568 · Cited by 18 · see citing works
Self-citationAkhonda, M. A. B. S., Gabrielson, B., Bhinge, S., Calhoun, V. D., & Adalı, T. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2021.109214 · Cited by 17 · see citing works
Self-citationParekh, P., Gozi, A., Reddi, V. S. K., Saini, J. S., & John, J. P. (2021) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-021-01345-w · Cited by 15 · see citing works
Hybrid brain model accurately predict human procrastination behavior
Chen, Z., Zhang, R., Xie, J., Liu, P., Zhang, C., Zhao, J. L., Laplante, J. P., & Feng, T. (2022) · Cognitive Neurodynamics · doi:10.1007/s11571-021-09765-z · Cited by 15 · see citing works
Du, Y., Ju, N., Xing, Y., Li, B., & Calhoun, V. D. (2024) · Schizophrenia Bulletin · doi:10.1093/schbul/sbae110 · Cited by 15 · see citing works
Self-citationMultimodal fusion analysis of structural connectivity and gray matter morphology in migraine
Planchuelo‐Gómez, Á., García‐Azorín, D., Peral, Á. L. G., Aja‐Fernández, S., Rodríguez, M., & de Luis-Garcı́a, R. (2020) · Human Brain Mapping · doi:10.1002/hbm.25267 · Cited by 14 · see citing works
Henemann, G. M., Schmitgen, M. M., Wolf, N. D., Hirjak, D., Kubera, K. M., Sambataro, F., Bach, P., Koenig, J., & Wolf, R. C. (2023) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2023.111593 · Cited by 14 · see citing works
Teipel, S. J., Ehlers, I., Erbe, A., Holzmann, C., Lau, E., Hauenstein, K., & Berger, C. (2014) · Journal of Neuroimaging · doi:10.1111/jon.12178 · Cited by 14 · see citing works
Cheng, W., Luo, N., Zhang, Y., Zhang, X., Tan, H. Y., Zhang, D., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Yue, W., & Yan, H. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab117 · Cited by 13 · see citing works
Local Discriminant Hyperalignment for multi-subject fMRI data alignmentPreprint
Yousefnezhad, M., & Zhang, D. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/092247 · Cited by 13 · see citing works
DeRamus, T. P., Wu, L., Qi, S., Iraji, A., Silva, R. F., Du, Y., Pearlson, G. D., Mayer, A. R., Bustillo, J., Stromberg, S. F., et al. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103056 · Cited by 12 · see citing works
Self-citationDistributed information-based clustering of heterogeneous sensor data
Chen, J., & Schizas, I. D. (2016) · Signal Processing · doi:10.1016/j.sigpro.2015.12.017 · Cited by 12 · see citing works
Supervised Hyperalignment for Multisubject fMRI Data Alignment
Yousefnezhad, M., Selvitella, A., Han, L., & Zhang, D. (2020) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2020.2965981 · Cited by 11 · see citing works
Liang, W., Zhou, B., Miao, Z., Liu, X., & Liu, S. (2024) · Nutrients · doi:10.3390/nu16132073 · Cited by 10 · see citing works
Li, Y., Xie, S., Liu, B., Song, M., Chen, Y., Li, P., Lü, L., Lv, L., Wang, H., Yan, H., et al. (2016) · Translational Psychiatry · doi:10.1038/tp.2015.202 · Cited by 10 · see citing works
Movement Symmetry Assessment by Bilateral Motion Data Fusion
Ren, P., Hu, S., Zhen-feng, H., Wang, Q., Yao, S., Gao, Z., Jin, J., Bringas-Vega, M. L., Yao, D., Biswal, B. B., et al. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2829749 · Cited by 9 · see citing works
Ge, Y., Zheng, W., Li, Y., Dou, W., Ren, S., Chen, Z., & Wang, Z. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.799251 · Cited by 9 · see citing works
Simultaneous non-Gaussian component analysis (SING) for data integration in neuroimaging
Risk, B. B., & Gaynanova, I. (2021) · The Annals of Applied Statistics · doi:10.1214/21-aoas1466 · Cited by 9 · see citing works
Jarret, J., Boré, A., Bedetti, C., Descoteaux, M., & Brambati, S. M. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2021.109435 · Cited by 9 · see citing works
Dai, P., Shi, Y., Zhou, X., Xiong, T., Luo, J., Chen, Q., Liao, S., Huang, Z., & Yi, X. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.10.006 · Cited by 8 · see citing works
Grecucci, A., Monachesi, B., & Messina, I. (2024) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsae018 · Cited by 8 · see citing works
Discriminating VCID subgroups: A diffusion MRI multi-model fusion approach
Raja, R., Caprihan, A., Rosenberg, G., Rachakonda, S., & Calhoun, V. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108598 · Cited by 6 · see citing works
Self-citationYao, C., Hu, N., Cao, H., Tang, B., Zhang, W., Xiao, Y., Zhao, Y., Gong, Q., & Lui, S. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.737179 · Cited by 8 · see citing works
Geenjaar, E., Lewis, N., Fedorov, A., Wu, L., Ford, J. M., Preda, A., Plis, S., & Calhoun, V. D. (2023) · Human Brain Mapping · doi:10.1002/hbm.26479 · Cited by 8 · see citing works
Self-citationPeters, R. M., Gjini, K., Templin, T., & Boutros, N. N. (2014) · Psychiatry Research · doi:10.1016/j.psychres.2014.02.020 · Cited by 8 · see citing works
Vacca, S., Suri, J. S., & Saba, L. (2023) · International Journal of Neuroscience · doi:10.1080/00207454.2023.2292958 · Cited by 7 · see citing works
Meade, C. S., Li, X., Towe, S. L., Bell, R. P., Calhoun, V. D., & Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T. (2021) · BMC Neuroscience · doi:10.1186/s12868-021-00654-z · Cited by 6 · see citing works
Self-citationVerner, E., Petropoulos, H., Baker, B. T., Bockholt, H. J., Fries, J. F., Bohsali, A. A., Raja, R., Trinh, D. H., & Calhoun, V. D. (2022) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.6855 · Cited by 6 · see citing works
Self-citationKong, L., Zhang, Y., Wu, X.-M., Wang, X., Wu, H., Li, S., Chu, M., Wang, Y., Lui, S. S. Y., Lv, Q., et al. (2024) · Schizophrenia · doi:10.1038/s41537-023-00408-2 · Cited by 6 · see citing works
Wei, L., Xu, X., Su, Y., Lan, M., Wang, S., & Zhong, S. (2024) · Human Brain Mapping · doi:10.1002/hbm.70017 · Cited by 6 · see citing works
Jia, C., Akhonda, M. A. B. S., Levin‐Schwartz, Y., Long, Q., Calhoun, V. D., & Adalı, T. (2021) · Applied Sciences · doi:10.3390/app11188382 · Cited by 6 · see citing works
Self-citation
- Authors
- Sui, J., He, H., Pearlson, G. D., Adali, T., Kiehl, K. A., Yu, Q., Clark, V. P., Castro, E., White, T., Mueller, B. A., Ho, B. C., Andreasen, N. C., & Calhoun, V. D.
- Affiliations
- Mind Research Network (US)
- Yale University (US)
- University of Minnesota (US)
- University of Iowa (US)
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2013-02
- Volume
- 66
- Pages
- 119-132
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3897558
- OpenAlex
- W2128042129
- Semantic Scholar
- 00f4386941282969de8ee224e46b80c6e021e5ba
- Cited by
- 143
- References
- 71
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 15 · 2023: 14 · 2022: 9 · 2021: 16 · 2020: 9 · 2019: 11 · 2018: 9 · 2017: 14 · 2016: 14 · 2015: 7 · 2014: 9 · 2013: 4 · 2012: 1
- FWCI
- 3.44
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- Funders
- National Institutes of Health (R01EB 006841, R01EB 005846, R01MH072681-01, R01MH43775, R01MH074797, R01MH077945)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Physical Sciences › Mathematics › Computational Mathematics › Tensor decomposition and applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- schizophrenia, anterior thalamic radiation, forceps minor, fractional anisotropy, disease duration, gray matter volume, white matter disruption, thalamus
- MeSH terms
- Brain, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Schizophrenia, Anisotropy, Diffusion Tensor Imaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
