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A Method for Automated Cortical Surface Registration and Labeling.

Biomedical image registration, ... proceedings. WBIR (Workshop : 2006- )

Joshi AA, Shattuck DW, Leahy RM.
PMID: 26213720
Biomed Image Regist Proc. 2012 Jul;7359:180-189. doi: 10.1007/978-3-642-31340-0_19.

Registration and delineation of anatomical features in MRI of the human brain play an important role in the investigation of brain development and disease. Accurate, automatic and computationally efficient cortical surface registration and delineation of surface-based landmarks, including regions...

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Joshi AA, Shattuck DW, Leahy RM. A Method for Automated Cortical Surface Registration and Labeling. Biomed Image Regist Proc. 2012;7359:180-189doi: 10.1007/978-3-642-31340-0_19.
Joshi, A. A., Shattuck, D. W., & Leahy, R. M. (2012). A Method for Automated Cortical Surface Registration and Labeling. Biomedical image registration, ... proceedings. WBIR (Workshop : 2006- ), 7359180-189. https://doi.org/10.1007/978-3-642-31340-0_19
Joshi, Anand A, et al. "A Method for Automated Cortical Surface Registration and Labeling." Biomedical image registration, ... proceedings. WBIR (Workshop : 2006- ) vol. 7359 (2012): 180-189. doi: https://doi.org/10.1007/978-3-642-31340-0_19
Joshi AA, Shattuck DW, Leahy RM. A Method for Automated Cortical Surface Registration and Labeling. Biomed Image Regist Proc. 2012 Jul;7359:180-189. doi: 10.1007/978-3-642-31340-0_19. PMID: 26213720; PMCID: PMC4511281.
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Information-Theoretic Characterization of Blood Panel Predictors for Brain Atrophy and Cognitive Decline in the Elderly.

Proceedings. IEEE International Symposium on Biomedical Imaging

Madsen SK, Ver Steeg G, Mezher A, Jahanshad N, Nir TM, Hua X, Gutman BA, Galstyan A, Thompson PM.
PMID: 26413208
Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:980-984. doi: 10.1109/ISBI.2015.7164035.

Cognitive decline in old age is tightly linked with brain atrophy, causing significant burden. It is critical to identify which biomarkers are most predictive of cognitive decline and brain atrophy in the elderly. In 566 older adults from the...

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Madsen SK, Ver Steeg G, Mezher A, et al. Information-Theoretic Characterization of Blood Panel Predictors for Brain Atrophy and Cognitive Decline in the Elderly. Proc IEEE Int Symp Biomed Imaging. 2015;2015:980-984doi: 10.1109/ISBI.2015.7164035.
Madsen, S. K., Ver Steeg, G., Mezher, A., Jahanshad, N., Nir, T. M., Hua, X., Gutman, B. A., Galstyan, A., Thompson, P. M. (2015). Information-Theoretic Characterization of Blood Panel Predictors for Brain Atrophy and Cognitive Decline in the Elderly. Proceedings. IEEE International Symposium on Biomedical Imaging, 2015980-984. https://doi.org/10.1109/ISBI.2015.7164035
Madsen, Sarah K, et al. "Information-Theoretic Characterization of Blood Panel Predictors for Brain Atrophy and Cognitive Decline in the Elderly." Proceedings. IEEE International Symposium on Biomedical Imaging vol. 2015 (2015): 980-984. doi: https://doi.org/10.1109/ISBI.2015.7164035
Madsen SK, Ver Steeg G, Mezher A, Jahanshad N, Nir TM, Hua X, Gutman BA, Galstyan A, Thompson PM. Information-Theoretic Characterization of Blood Panel Predictors for Brain Atrophy and Cognitive Decline in the Elderly. Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:980-984. doi: 10.1109/ISBI.2015.7164035. PMID: 26413208; PMCID: PMC4578218.
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AUTOMATED MULTI-ATLAS LABELING OF THE FORNIX AND ITS INTEGRITY IN ALZHEIMER'S DISEASE.

Proceedings. IEEE International Symposium on Biomedical Imaging

Jin Y, Shi Y, Zhan L, Thompson PM.
PMID: 26413203
Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:140-143. doi: 10.1109/ISBI.2015.7163835.

Alzheimer's disease is the most common form of dementia. Diffusion imaging provides information on white matter integrity not available with standard MRI, revealing additional information on how Alzheimer's disease affects the brain. Here we implemented and tested a multi-atlas...

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Jin Y, Shi Y, Zhan L, et al. AUTOMATED MULTI-ATLAS LABELING OF THE FORNIX AND ITS INTEGRITY IN ALZHEIMER'S DISEASE. Proc IEEE Int Symp Biomed Imaging. 2015;2015:140-143doi: 10.1109/ISBI.2015.7163835.
Jin, Y., Shi, Y., Zhan, L., Thompson, P. M. (2015). AUTOMATED MULTI-ATLAS LABELING OF THE FORNIX AND ITS INTEGRITY IN ALZHEIMER'S DISEASE. Proceedings. IEEE International Symposium on Biomedical Imaging, 2015140-143. https://doi.org/10.1109/ISBI.2015.7163835
Jin, Yan, et al. "AUTOMATED MULTI-ATLAS LABELING OF THE FORNIX AND ITS INTEGRITY IN ALZHEIMER'S DISEASE." Proceedings. IEEE International Symposium on Biomedical Imaging vol. 2015 (2015): 140-143. doi: https://doi.org/10.1109/ISBI.2015.7163835
Jin Y, Shi Y, Zhan L, Thompson PM. AUTOMATED MULTI-ATLAS LABELING OF THE FORNIX AND ITS INTEGRITY IN ALZHEIMER'S DISEASE. Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:140-143. doi: 10.1109/ISBI.2015.7163835. PMID: 26413203; PMCID: PMC4578317.
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A Transformation Similarity Constraint for Groupwise Nonlinear Registration in Longitudinal Neuro Imaging Studies.

Proceedings of SPIE--the International Society for Optical Engineering

Fleishman GM, Gutman BA, Fletcher PT, Thompson P.
PMID: 25914796
Proc SPIE Int Soc Opt Eng. 2015 Mar 20;9413. doi: 10.1117/12.2080841.

Patients with Alzheimer's disease and other brain disorders often show a similar spatial distribution of volume change throughout the brain over time,

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Fleishman GM, Gutman BA, Fletcher PT, et al. A Transformation Similarity Constraint for Groupwise Nonlinear Registration in Longitudinal Neuro Imaging Studies. Proc SPIE Int Soc Opt Eng. 2015;9413doi: 10.1117/12.2080841.
Fleishman, G. M., Gutman, B. A., Fletcher, P. T., & Thompson, P. (2015). A Transformation Similarity Constraint for Groupwise Nonlinear Registration in Longitudinal Neuro Imaging Studies. Proceedings of SPIE--the International Society for Optical Engineering, 9413. https://doi.org/10.1117/12.2080841
Fleishman, Greg M, et al. "A Transformation Similarity Constraint for Groupwise Nonlinear Registration in Longitudinal Neuro Imaging Studies." Proceedings of SPIE--the International Society for Optical Engineering vol. 9413 (2015). doi: https://doi.org/10.1117/12.2080841
Fleishman GM, Gutman BA, Fletcher PT, Thompson P. A Transformation Similarity Constraint for Groupwise Nonlinear Registration in Longitudinal Neuro Imaging Studies. Proc SPIE Int Soc Opt Eng. 2015 Mar 20;9413. doi: 10.1117/12.2080841. PMID: 25914796; PMCID: PMC4406356.
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Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines.

Journal of medical imaging (Bellingham, Wash.)

Koran ME, Thornton-Wells TA, Jahanshad N, Glahn DC, Thompson PM, Blangero J, Nichols TE, Kochunov P, Landman BA.
PMID: 25558465
J Med Imaging (Bellingham). 2014 Jun 27;1(1):014005. doi: 10.1117/1.JMI.1.1.014005.

Imaging genetics is an emerging methodological field that combines genetic information with medical imaging-derived metrics to understand how genetic factors impact observable phenotypes. In order for a trait to be a reasonable phenotype in an imaging genetics study, it...

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Koran ME, Thornton-Wells TA, Jahanshad N, et al. Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines. J Med Imaging (Bellingham). 2014;1(1):014005doi: 10.1117/1.JMI.1.1.014005.
Koran, M. E., Thornton-Wells, T. A., Jahanshad, N., Glahn, D. C., Thompson, P. M., Blangero, J., Nichols, T. E., Kochunov, P., & Landman, B. A. (2014). Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines. Journal of medical imaging (Bellingham, Wash.), 1(1), 014005. https://doi.org/10.1117/1.JMI.1.1.014005
Koran, Mary Ellen, et al. "Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines." Journal of medical imaging (Bellingham, Wash.) vol. 1,1 (2014): 014005. doi: https://doi.org/10.1117/1.JMI.1.1.014005
Koran ME, Thornton-Wells TA, Jahanshad N, Glahn DC, Thompson PM, Blangero J, Nichols TE, Kochunov P, Landman BA. Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines. J Med Imaging (Bellingham). 2014 Jun 27;1(1):014005. doi: 10.1117/1.JMI.1.1.014005. PMID: 25558465; PMCID: PMC4281883.
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Cluster-based co-saliency detection.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Fu H, Cao X, Tu Z.
PMID: 23629857
IEEE Trans Image Process. 2013 Oct;22(10):3766-78. doi: 10.1109/TIP.2013.2260166. Epub 2013 Apr 25.

Co-saliency is used to discover the common saliency on the multiple images, which is a relatively underexplored area. In this paper, we introduce a new cluster-based algorithm for co-saliency detection. Global correspondence between the multiple images is implicitly learned...

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Fu H, Cao X, Tu Z. Cluster-based co-saliency detection. IEEE Trans Image Process. 2013;22(10):3766-78doi: 10.1109/TIP.2013.2260166.
Fu, H., Cao, X., & Tu, Z. (2013). Cluster-based co-saliency detection. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 22(10), 3766-78. https://doi.org/10.1109/TIP.2013.2260166
Fu, Huazhu, et al. "Cluster-based co-saliency detection." IEEE transactions on image processing : a publication of the IEEE Signal Processing Society vol. 22,10 (2013): 3766-78. doi: https://doi.org/10.1109/TIP.2013.2260166
Fu H, Cao X, Tu Z. Cluster-based co-saliency detection. IEEE Trans Image Process. 2013 Oct;22(10):3766-78. doi: 10.1109/TIP.2013.2260166. Epub 2013 Apr 25. PMID: 23629857; PMCID: PMC3785793.
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Corrigendum: Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images.

Frontiers in aging neuroscience

Guo S, Lai C, Wu C, Cen G.
PMID: 28900396
Front Aging Neurosci. 2017 Sep 05;9:293. doi: 10.3389/fnagi.2017.00293. eCollection 2017.

[This corrects the article on p. 146 in vol. 9, PMID: 28572766.].

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Guo S, Lai C, Wu C, et al. Corrigendum: Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images. Front Aging Neurosci. 2017;9:293doi: 10.3389/fnagi.2017.00293.
Guo, S., Lai, C., Wu, C., Cen, G. (2017). Corrigendum: Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images. Frontiers in aging neuroscience, 9293. https://doi.org/10.3389/fnagi.2017.00293
Guo, Shengwen, et al. "Corrigendum: Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images." Frontiers in aging neuroscience vol. 9 (2017): 293. doi: https://doi.org/10.3389/fnagi.2017.00293
Guo S, Lai C, Wu C, Cen G. Corrigendum: Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images. Front Aging Neurosci. 2017 Sep 05;9:293. doi: 10.3389/fnagi.2017.00293. eCollection 2017. PMID: 28900396; PMCID: PMC5591847.
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DETECTING FEATURES OF EPILEPTOGENESIS IN EEG AFTER TBI USING UNSUPERVISED DIFFUSION COMPONENT ANALYSIS.

Discrete and continuous dynamical systems. Series B

Duncan D, Vespa P, Toga AW.
PMID: 30369835
Discrete Continuous Dyn Syst Ser B. 2018 Jan;23(1):161-172. doi: 10.3934/dcdsb.2018010.

Epilepsy is among the most common serious disabling disorders of the brain, and the global burden of epilepsy exerts a tremendous cost to society. Most people with epilepsy have acquired forms, and the development of antiepileptogenic interventions could potentially...

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Duncan D, Vespa P, Toga AW. DETECTING FEATURES OF EPILEPTOGENESIS IN EEG AFTER TBI USING UNSUPERVISED DIFFUSION COMPONENT ANALYSIS. Discrete Continuous Dyn Syst Ser B. 2018;23(1):161-172doi: 10.3934/dcdsb.2018010.
Duncan, D., Vespa, P., & Toga, A. W. (2018). DETECTING FEATURES OF EPILEPTOGENESIS IN EEG AFTER TBI USING UNSUPERVISED DIFFUSION COMPONENT ANALYSIS. Discrete and continuous dynamical systems. Series B, 23(1), 161-172. https://doi.org/10.3934/dcdsb.2018010
Duncan, Dominique, et al. "DETECTING FEATURES OF EPILEPTOGENESIS IN EEG AFTER TBI USING UNSUPERVISED DIFFUSION COMPONENT ANALYSIS." Discrete and continuous dynamical systems. Series B vol. 23,1 (2018): 161-172. doi: https://doi.org/10.3934/dcdsb.2018010
Duncan D, Vespa P, Toga AW. DETECTING FEATURES OF EPILEPTOGENESIS IN EEG AFTER TBI USING UNSUPERVISED DIFFUSION COMPONENT ANALYSIS. Discrete Continuous Dyn Syst Ser B. 2018 Jan;23(1):161-172. doi: 10.3934/dcdsb.2018010. PMID: 30369835; PMCID: PMC6200402.
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​​​​​​​Politics: Don't put US-Cuban research at risk.

Nature

Van Horn JD.
PMID: 29168838
Nature. 2017 Nov 23;551(7681):440. doi: 10.1038/d41586-017-07230-8.

No abstract available.

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Van Horn JD. ​​​​​​​Politics: Don't put US-Cuban research at risk. Nature. 2017;551(7681):440doi: 10.1038/d41586-017-07230-8.
Van Horn, J. D. (2017). ​​​​​​​Politics: Don't put US-Cuban research at risk. Nature, 551(7681), 440. https://doi.org/10.1038/d41586-017-07230-8
Van Horn, John D. "​​​​​​​Politics: Don't put US-Cuban research at risk." Nature vol. 551,7681 (2017): 440. doi: https://doi.org/10.1038/d41586-017-07230-8
Van Horn JD. ​​​​​​​Politics: Don't put US-Cuban research at risk. Nature. 2017 Nov 23;551(7681):440. doi: 10.1038/d41586-017-07230-8. PMID: 29168838; PMCID: PMC6551600.
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Nonparenchymal fluid is the source of increased mean diffusivity in preclinical Alzheimer's disease.

Alzheimer's & dementia (Amsterdam, Netherlands)

Sepehrband F, Cabeen RP, Barisano G, Sheikh-Bahaei N, Choupan J, Law M, Toga AW.
PMID: 31049392
Alzheimers Dement (Amst). 2019 Apr 22;11:348-354. doi: 10.1016/j.dadm.2019.03.002. eCollection 2019 Dec.

INTRODUCTION: Although increased mean diffusivity of the white matter has been repeatedly linked to Alzheimer's disease pathology, the underlying mechanism is not known.METHODS: Here, we used ADNI-3 multishell diffusion magnetic resonance imaging data to separate the diffusion signal of...

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Sepehrband F, Cabeen RP, Barisano G, et al. Nonparenchymal fluid is the source of increased mean diffusivity in preclinical Alzheimer's disease. Alzheimers Dement (Amst). 2019;11:348-354doi: 10.1016/j.dadm.2019.03.002.
Sepehrband, F., Cabeen, R. P., Barisano, G., Sheikh-Bahaei, N., Choupan, J., Law, M., & Toga, A. W. (2019). Nonparenchymal fluid is the source of increased mean diffusivity in preclinical Alzheimer's disease. Alzheimer's & dementia (Amsterdam, Netherlands), 11348-354. https://doi.org/10.1016/j.dadm.2019.03.002
Sepehrband, Farshid, et al. "Nonparenchymal fluid is the source of increased mean diffusivity in preclinical Alzheimer's disease." Alzheimer's & dementia (Amsterdam, Netherlands) vol. 11 (2019): 348-354. doi: https://doi.org/10.1016/j.dadm.2019.03.002
Sepehrband F, Cabeen RP, Barisano G, Sheikh-Bahaei N, Choupan J, Law M, Toga AW. Nonparenchymal fluid is the source of increased mean diffusivity in preclinical Alzheimer's disease. Alzheimers Dement (Amst). 2019 Apr 22;11:348-354. doi: 10.1016/j.dadm.2019.03.002. eCollection 2019 Dec. PMID: 31049392; PMCID: PMC6479267.
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Translating ENIGMA schizophrenia findings using the regional vulnerability index: Association with cognition, symptoms, and disease trajectory.

Human brain mapping

Kochunov P, Fan F, Ryan MC, Hatch KS, Tan S, Jahanshad N, Thompson PM, van Erp TGM, Turner JA, Chen S, Du X, Adhikari B, Bruce H, Hare S, Goldwaser E, Kvarta M, Huang J, Tong J, Cui Y, Cao B, Tan Y, Hong LE.
PMID: 32463560
Hum Brain Mapp. 2022 Jan;43(1):566-575. doi: 10.1002/hbm.25045. Epub 2020 May 28.

Patients with schizophrenia have patterns of brain deficits including reduced cortical thickness, subcortical gray matter volumes, and cerebral white matter integrity. We proposed the regional vulnerability index (RVI) to translate the results of Enhancing Neuro Imaging Genetics Meta-Analysis studies...

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Kochunov P, Fan F, Ryan MC, et al. Translating ENIGMA schizophrenia findings using the regional vulnerability index: Association with cognition, symptoms, and disease trajectory. Hum Brain Mapp. 2020;43(1):566-575doi: 10.1002/hbm.25045.
Kochunov, P., Fan, F., Ryan, M. C., Hatch, K. S., Tan, S., Jahanshad, N., Thompson, P. M., van Erp, T. G. M., Turner, J. A., Chen, S., Du, X., Adhikari, B., Bruce, H., Hare, S., Goldwaser, E., Kvarta, M., Huang, J., Tong, J., Cui, Y., Cao, B., Tan, Y., & Hong, L. E. (2022). Translating ENIGMA schizophrenia findings using the regional vulnerability index: Association with cognition, symptoms, and disease trajectory. Human brain mapping, 43(1), 566-575. https://doi.org/10.1002/hbm.25045
Kochunov, Peter, et al. "Translating ENIGMA schizophrenia findings using the regional vulnerability index: Association with cognition, symptoms, and disease trajectory." Human brain mapping vol. 43,1 (2022): 566-575. doi: https://doi.org/10.1002/hbm.25045
Kochunov P, Fan F, Ryan MC, Hatch KS, Tan S, Jahanshad N, Thompson PM, van Erp TGM, Turner JA, Chen S, Du X, Adhikari B, Bruce H, Hare S, Goldwaser E, Kvarta M, Huang J, Tong J, Cui Y, Cao B, Tan Y, Hong LE. Translating ENIGMA schizophrenia findings using the regional vulnerability index: Association with cognition, symptoms, and disease trajectory. Hum Brain Mapp. 2022 Jan;43(1):566-575. doi: 10.1002/hbm.25045. Epub 2020 May 28. PMID: 32463560.
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ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research.

Human brain mapping

Kochunov P, Hong LE, Dennis EL, Morey RA, Tate DF, Wilde EA, Logue M, Kelly S, Donohoe G, Favre P, Houenou J, Ching CRK, Holleran L, Andreassen OA, van Velzen LS, Schmaal L, Villalón-Reina JE, Bearden CE, Piras F, Spalletta G, van den Heuvel OA, Veltman DJ, Stein DJ, Ryan MC, Tan Y, van Erp TGM, Turner JA, Haddad L, Nir TM, Glahn DC, Thompson PM, Jahanshad N.
PMID: 32301246
Hum Brain Mapp. 2022 Jan;43(1):194-206. doi: 10.1002/hbm.24998. Epub 2020 Apr 16.

The ENIGMA-DTI (diffusion tensor imaging) workgroup supports analyses that examine the effects of psychiatric, neurological, and developmental disorders on the white matter pathways of the human brain, as well as the effects of normal variation and its genetic associations....

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Kochunov P, Hong LE, Dennis EL, et al. ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research. Hum Brain Mapp. 2020;43(1):194-206doi: 10.1002/hbm.24998.
Kochunov, P., Hong, L. E., Dennis, E. L., Morey, R. A., Tate, D. F., Wilde, E. A., Logue, M., Kelly, S., Donohoe, G., Favre, P., Houenou, J., Ching, C. R. K., Holleran, L., Andreassen, O. A., van Velzen, L. S., Schmaal, L., Villalón-Reina, J. E., Bearden, C. E., Piras, F., Spalletta, G., van den Heuvel, O. A., Veltman, D. J., Stein, D. J., Ryan, M. C., Tan, Y., van Erp, T. G. M., Turner, J. A., Haddad, L., Nir, T. M., Glahn, D. C., Thompson, P. M., & Jahanshad, N. (2022). ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research. Human brain mapping, 43(1), 194-206. https://doi.org/10.1002/hbm.24998
Kochunov, Peter, et al. "ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research." Human brain mapping vol. 43,1 (2022): 194-206. doi: https://doi.org/10.1002/hbm.24998
Kochunov P, Hong LE, Dennis EL, Morey RA, Tate DF, Wilde EA, Logue M, Kelly S, Donohoe G, Favre P, Houenou J, Ching CRK, Holleran L, Andreassen OA, van Velzen LS, Schmaal L, Villalón-Reina JE, Bearden CE, Piras F, Spalletta G, van den Heuvel OA, Veltman DJ, Stein DJ, Ryan MC, Tan Y, van Erp TGM, Turner JA, Haddad L, Nir TM, Glahn DC, Thompson PM, Jahanshad N. ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research. Hum Brain Mapp. 2022 Jan;43(1):194-206. doi: 10.1002/hbm.24998. Epub 2020 Apr 16. PMID: 32301246; PMCID: PMC8675425.
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