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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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Ensemble measurement of diffusion: novel beauty and evidence.

Chemphyschem : a European journal of chemical physics and physical chemistry

Chmelik C, Heinke L, Kortunov P, Li J, Olson D, Tzoulaki D, Weitkamp J, Kärger J.
PMID: 19750534
Chemphyschem. 2009 Oct 19;10(15):2623-7. doi: 10.1002/cphc.200900489.

Recording the evolution of concentration profiles in nanoporous materials opens a new field of diffusion research with particle ensembles. The technique is based on the complementary application of interference microscopy and IR micro-imaging. Combining the virtues of diffusion measurements...

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Chmelik C, Heinke L, Kortunov P, et al. Ensemble measurement of diffusion: novel beauty and evidence. Chemphyschem. 2009;10(15):2623-7doi: 10.1002/cphc.200900489.
Chmelik, C., Heinke, L., Kortunov, P., Li, J., Olson, D., Tzoulaki, D., Weitkamp, J., & Kärger, J. (2009). Ensemble measurement of diffusion: novel beauty and evidence. Chemphyschem : a European journal of chemical physics and physical chemistry, 10(15), 2623-7. https://doi.org/10.1002/cphc.200900489
Chmelik, Christian, et al. "Ensemble measurement of diffusion: novel beauty and evidence." Chemphyschem : a European journal of chemical physics and physical chemistry vol. 10,15 (2009): 2623-7. doi: https://doi.org/10.1002/cphc.200900489
Chmelik C, Heinke L, Kortunov P, Li J, Olson D, Tzoulaki D, Weitkamp J, Kärger J. Ensemble measurement of diffusion: novel beauty and evidence. Chemphyschem. 2009 Oct 19;10(15):2623-7. doi: 10.1002/cphc.200900489. PMID: 19750534.
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Subchronic exposure to phytoestrogens alone and in combination with diethylstilbestrol - pituitary tumor induction in Fischer 344 rats.

Nutrition & metabolism

Jeng YJ, Kochukov M, Nauduri D, Kaphalia BS, Watson CS.
PMID: 20459739
Nutr Metab (Lond). 2010 May 10;7:40. doi: 10.1186/1743-7075-7-40.

BACKGROUND: Subchronic administration of the potent pharmaceutical estrogen diethylstilbestrol (DES) to female Fischer 344 (F344) rats induces growth of large, hemorrhagic pituitaries that progress to tumors. Phytoestrogens (dietary plant estrogens) are hypothesized to be potential tumor inhibitors in tissues...

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Jeng YJ, Kochukov M, Nauduri D, et al. Subchronic exposure to phytoestrogens alone and in combination with diethylstilbestrol - pituitary tumor induction in Fischer 344 rats. Nutr Metab (Lond). 2010;7:40doi: 10.1186/1743-7075-7-40.
Jeng, Y. J., Kochukov, M., Nauduri, D., Kaphalia, B. S., & Watson, C. S. (2010). Subchronic exposure to phytoestrogens alone and in combination with diethylstilbestrol - pituitary tumor induction in Fischer 344 rats. Nutrition & metabolism, 740. https://doi.org/10.1186/1743-7075-7-40
Jeng, Yow-Jiun, et al. "Subchronic exposure to phytoestrogens alone and in combination with diethylstilbestrol - pituitary tumor induction in Fischer 344 rats." Nutrition & metabolism vol. 7 (2010): 40. doi: https://doi.org/10.1186/1743-7075-7-40
Jeng YJ, Kochukov M, Nauduri D, Kaphalia BS, Watson CS. Subchronic exposure to phytoestrogens alone and in combination with diethylstilbestrol - pituitary tumor induction in Fischer 344 rats. Nutr Metab (Lond). 2010 May 10;7:40. doi: 10.1186/1743-7075-7-40. PMID: 20459739; PMCID: PMC2881934.
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Concentration-dependent self-diffusion of liquids in nanopores: a nuclear magnetic resonance study.

The Journal of chemical physics

Valiullin R, Kortunov P, Körger J, Timoshenko V.
PMID: 15268215
J Chem Phys. 2004 Jun 22;120(24):11804-14. doi: 10.1063/1.1753572.

Nuclear magnetic resonance has been applied to study the details of molecular motion of low-molecular-weight polar and nonpolar organic liquids in nanoporous silicon crystals of straight cylindrical pore morphology at different pore loadings. Effective self-diffusion coefficients as obtained using...

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Valiullin R, Kortunov P, Körger J, et al. Concentration-dependent self-diffusion of liquids in nanopores: a nuclear magnetic resonance study. J Chem Phys. 2004;120(24):11804-14doi: 10.1063/1.1753572.
Valiullin, R., Kortunov, P., Körger, J., & Timoshenko, V. (2004). Concentration-dependent self-diffusion of liquids in nanopores: a nuclear magnetic resonance study. The Journal of chemical physics, 120(24), 11804-14. https://doi.org/10.1063/1.1753572
Valiullin, Rustem, et al. "Concentration-dependent self-diffusion of liquids in nanopores: a nuclear magnetic resonance study." The Journal of chemical physics vol. 120,24 (2004): 11804-14. doi: https://doi.org/10.1063/1.1753572
Valiullin R, Kortunov P, Körger J, Timoshenko V. Concentration-dependent self-diffusion of liquids in nanopores: a nuclear magnetic resonance study. J Chem Phys. 2004 Jun 22;120(24):11804-14. doi: 10.1063/1.1753572. PMID: 15268215.
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Genetic analysis of cortical thickness and fractional anisotropy of water diffusion in the brain.

Frontiers in neuroscience

Kochunov P, Glahn DC, Nichols TE, Winkler AM, Hong EL, Holcomb HH, Stein JL, Thompson PM, Curran JE, Carless MA, Olvera RL, Johnson MP, Cole SA, Kochunov V, Kent J, Blangero J.
PMID: 22028680
Front Neurosci. 2011 Oct 19;5:120. doi: 10.3389/fnins.2011.00120. eCollection 2011.

OBJECTIVES: The thickness of the brain's cortical gray matter (GM) and the fractional anisotropy (FA) of the cerebral white matter (WM) each follow an inverted U-shape trajectory with age. The two measures are positively correlated and may be modulated...

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Kochunov P, Glahn DC, Nichols TE, et al. Genetic analysis of cortical thickness and fractional anisotropy of water diffusion in the brain. Front Neurosci. 2011;5:120doi: 10.3389/fnins.2011.00120.
Kochunov, P., Glahn, D. C., Nichols, T. E., Winkler, A. M., Hong, E. L., Holcomb, H. H., Stein, J. L., Thompson, P. M., Curran, J. E., Carless, M. A., Olvera, R. L., Johnson, M. P., Cole, S. A., Kochunov, V., Kent, J., & Blangero, J. (2011). Genetic analysis of cortical thickness and fractional anisotropy of water diffusion in the brain. Frontiers in neuroscience, 5120. https://doi.org/10.3389/fnins.2011.00120
Kochunov, Peter, et al. "Genetic analysis of cortical thickness and fractional anisotropy of water diffusion in the brain." Frontiers in neuroscience vol. 5 (2011): 120. doi: https://doi.org/10.3389/fnins.2011.00120
Kochunov P, Glahn DC, Nichols TE, Winkler AM, Hong EL, Holcomb HH, Stein JL, Thompson PM, Curran JE, Carless MA, Olvera RL, Johnson MP, Cole SA, Kochunov V, Kent J, Blangero J. Genetic analysis of cortical thickness and fractional anisotropy of water diffusion in the brain. Front Neurosci. 2011 Oct 19;5:120. doi: 10.3389/fnins.2011.00120. eCollection 2011. PMID: 22028680; PMCID: PMC3199541.
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P-selectin Expression Tracks Cerebral Atrophy in Mexican-Americans.

Frontiers in genetics

Kochunov P, Glahn DC, Hong LE, Lancaster J, Curran JE, Johnson MP, Winkler AM, Holcomb HH, Kent JW, Mitchell B, Kochunov V, Olvera RL, Cole SA, Dyer TD, Moses EK, Goring H, Almasy L, Duggirala R, Blangero J.
PMID: 22558002
Front Genet. 2012 May 01;3:65. doi: 10.3389/fgene.2012.00065. eCollection 2012.

BACKGROUND AND PURPOSE: We hypothesized that the P-selectin (SELP) gene, localized to a region on chromosome 1q24, pleiotropically contributes to increased blood pressure and cerebral atrophy. We tested this hypothesis by performing genetic correlation analyses for 13 mRNA gene...

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Kochunov P, Glahn DC, Hong LE, et al. P-selectin Expression Tracks Cerebral Atrophy in Mexican-Americans. Front Genet. 2012;3:65doi: 10.3389/fgene.2012.00065.
Kochunov, P., Glahn, D. C., Hong, L. E., Lancaster, J., Curran, J. E., Johnson, M. P., Winkler, A. M., Holcomb, H. H., Kent, J. W., Mitchell, B., Kochunov, V., Olvera, R. L., Cole, S. A., Dyer, T. D., Moses, E. K., Goring, H., Almasy, L., Duggirala, R., & Blangero, J. (2012). P-selectin Expression Tracks Cerebral Atrophy in Mexican-Americans. Frontiers in genetics, 365. https://doi.org/10.3389/fgene.2012.00065
Kochunov, P, et al. "P-selectin Expression Tracks Cerebral Atrophy in Mexican-Americans." Frontiers in genetics vol. 3 (2012): 65. doi: https://doi.org/10.3389/fgene.2012.00065
Kochunov P, Glahn DC, Hong LE, Lancaster J, Curran JE, Johnson MP, Winkler AM, Holcomb HH, Kent JW, Mitchell B, Kochunov V, Olvera RL, Cole SA, Dyer TD, Moses EK, Goring H, Almasy L, Duggirala R, Blangero J. P-selectin Expression Tracks Cerebral Atrophy in Mexican-Americans. Front Genet. 2012 May 01;3:65. doi: 10.3389/fgene.2012.00065. eCollection 2012. PMID: 22558002; PMCID: PMC3340599.
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Accurate spectroscopic models for methane polyads derived from a potential energy surface using high-order contact transformations.

The journal of physical chemistry. A

Tyuterev V, Tashkun S, Rey M, Kochanov R, Nikitin A, Delahaye T.
PMID: 24131356
J Phys Chem A. 2013 Dec 19;117(50):13779-805. doi: 10.1021/jp408116j. Epub 2013 Nov 27.

A new spectroscopic model is developed for theoretical predictions of vibration-rotation line positions and line intensities of the methane molecule. Resonance coupling parameters of the effective polyad Hamiltionians were obtained via high-order contact transformations (CT) from ab initio potential...

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Tyuterev V, Tashkun S, Rey M, et al. Accurate spectroscopic models for methane polyads derived from a potential energy surface using high-order contact transformations. J Phys Chem A. 2013;117(50):13779-805doi: 10.1021/jp408116j.
Tyuterev, V., Tashkun, S., Rey, M., Kochanov, R., Nikitin, A., & Delahaye, T. (2013). Accurate spectroscopic models for methane polyads derived from a potential energy surface using high-order contact transformations. The journal of physical chemistry. A, 117(50), 13779-805. https://doi.org/10.1021/jp408116j
Tyuterev, Vladimir, et al. "Accurate spectroscopic models for methane polyads derived from a potential energy surface using high-order contact transformations." The journal of physical chemistry. A vol. 117,50 (2013): 13779-805. doi: https://doi.org/10.1021/jp408116j
Tyuterev V, Tashkun S, Rey M, Kochanov R, Nikitin A, Delahaye T. Accurate spectroscopic models for methane polyads derived from a potential energy surface using high-order contact transformations. J Phys Chem A. 2013 Dec 19;117(50):13779-805. doi: 10.1021/jp408116j. Epub 2013 Nov 27. PMID: 24131356.
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Acute nicotine administration effects on fractional anisotropy of cerebral white matter and associated attention performance.

Frontiers in pharmacology

Kochunov P, Du X, Moran LV, Sampath H, Wijtenburg SA, Yang Y, Rowland LM, Stein EA, Hong LE.
PMID: 24065920
Front Pharmacol. 2013 Sep 18;4:117. doi: 10.3389/fphar.2013.00117. eCollection 2013.

INTRODUCTION: Nicotinic acetylcholine receptors are present in the cerebral white matter (WM). We hypothesized that WM response to nicotine can be detected by diffusion tensor imaging (DTI); and that such responses may be associated with nicotine-led cognitive enhancement in...

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Kochunov P, Du X, Moran LV, et al. Acute nicotine administration effects on fractional anisotropy of cerebral white matter and associated attention performance. Front Pharmacol. 2013;4:117doi: 10.3389/fphar.2013.00117.
Kochunov, P., Du, X., Moran, L. V., Sampath, H., Wijtenburg, S. A., Yang, Y., Rowland, L. M., Stein, E. A., & Hong, L. E. (2013). Acute nicotine administration effects on fractional anisotropy of cerebral white matter and associated attention performance. Frontiers in pharmacology, 4117. https://doi.org/10.3389/fphar.2013.00117
Kochunov, Peter, et al. "Acute nicotine administration effects on fractional anisotropy of cerebral white matter and associated attention performance." Frontiers in pharmacology vol. 4 (2013): 117. doi: https://doi.org/10.3389/fphar.2013.00117
Kochunov P, Du X, Moran LV, Sampath H, Wijtenburg SA, Yang Y, Rowland LM, Stein EA, Hong LE. Acute nicotine administration effects on fractional anisotropy of cerebral white matter and associated attention performance. Front Pharmacol. 2013 Sep 18;4:117. doi: 10.3389/fphar.2013.00117. eCollection 2013. PMID: 24065920; PMCID: PMC3776159.
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The ENIGMA-Epilepsy working group: Mapping disease from large data sets.

Human brain mapping

Sisodiya SM, Whelan CD, Hatton SN, Huynh K, Altmann A, Ryten M, Vezzani A, Caligiuri ME, Labate A, Gambardella A, Ives-Deliperi V, Meletti S, Munsell BC, Bonilha L, Tondelli M, Rebsamen M, Rummel C, Vaudano AE, Wiest R, Balachandra AR, Bargalló N, Bartolini E, Bernasconi A, Bernasconi N, Bernhardt B, Caldairou B, Carr SJA, Cavalleri GL, Cendes F, Concha L, Desmond PM, Domin M, Duncan JS, Focke NK, Guerrini R, Hamandi K, Jackson GD, Jahanshad N, Kälviäinen R, Keller SS, Kochunov P, Kowalczyk MA, Kreilkamp BAK, Kwan P, Lariviere S, Lenge M, Lopez SM, Martin P, Mascalchi M, Moreira JCV, Morita-Sherman ME, Pardoe HR, Pariente JC, Raviteja K, Rocha CS, Rodríguez-Cruces R, Seeck M, Semmelroch MKHG, Sinclair B, Soltanian-Zadeh H, Stein DJ, Striano P, Taylor PN, Thomas RH, Thomopoulos SI, Velakoulis D, Vivash L, Weber B, Yasuda CL, Zhang J, Thompson PM, McDonald CR.
PMID: 32468614
Hum Brain Mapp. 2020 May 29; doi: 10.1002/hbm.25037. Epub 2020 May 29.

Epilepsy is a common and serious neurological disorder, with many different constituent conditions characterized by their electro clinical, imaging, and genetic features. MRI has been fundamental in advancing our understanding of brain processes in the epilepsies. Smaller-scale studies have...

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Sisodiya SM, Whelan CD, Hatton SN, et al. The ENIGMA-Epilepsy working group: Mapping disease from large data sets. Hum Brain Mapp. 2020;doi: 10.1002/hbm.25037.
Sisodiya, S. M., Whelan, C. D., Hatton, S. N., Huynh, K., Altmann, A., Ryten, M., Vezzani, A., Caligiuri, M. E., Labate, A., Gambardella, A., Ives-Deliperi, V., Meletti, S., Munsell, B. C., Bonilha, L., Tondelli, M., Rebsamen, M., Rummel, C., Vaudano, A. E., Wiest, R., Balachandra, A. R., Bargalló, N., Bartolini, E., Bernasconi, A., Bernasconi, N., Bernhardt, B., Caldairou, B., Carr, S. J. A., Cavalleri, G. L., Cendes, F., Concha, L., Desmond, P. M., Domin, M., Duncan, J. S., Focke, N. K., Guerrini, R., Hamandi, K., Jackson, G. D., Jahanshad, N., Kälviäinen, R., Keller, S. S., Kochunov, P., Kowalczyk, M. A., Kreilkamp, B. A. K., Kwan, P., Lariviere, S., Lenge, M., Lopez, S. M., Martin, P., Mascalchi, M., Moreira, J. C. V., Morita-Sherman, M. E., Pardoe, H. R., Pariente, J. C., Raviteja, K., Rocha, C. S., Rodríguez-Cruces, R., Seeck, M., Semmelroch, M. K. H. G., Sinclair, B., Soltanian-Zadeh, H., Stein, D. J., Striano, P., Taylor, P. N., Thomas, R. H., Thomopoulos, S. I., Velakoulis, D., Vivash, L., Weber, B., Yasuda, C. L., Zhang, J., Thompson, P. M., McDonald, C. R. (2020). The ENIGMA-Epilepsy working group: Mapping disease from large data sets. Human brain mapping, . https://doi.org/10.1002/hbm.25037
Sisodiya, Sanjay M, et al. "The ENIGMA-Epilepsy working group: Mapping disease from large data sets." Human brain mapping vol. (2020). doi: https://doi.org/10.1002/hbm.25037
Sisodiya SM, Whelan CD, Hatton SN, Huynh K, Altmann A, Ryten M, Vezzani A, Caligiuri ME, Labate A, Gambardella A, Ives-Deliperi V, Meletti S, Munsell BC, Bonilha L, Tondelli M, Rebsamen M, Rummel C, Vaudano AE, Wiest R, Balachandra AR, Bargalló N, Bartolini E, Bernasconi A, Bernasconi N, Bernhardt B, Caldairou B, Carr SJA, Cavalleri GL, Cendes F, Concha L, Desmond PM, Domin M, Duncan JS, Focke NK, Guerrini R, Hamandi K, Jackson GD, Jahanshad N, Kälviäinen R, Keller SS, Kochunov P, Kowalczyk MA, Kreilkamp BAK, Kwan P, Lariviere S, Lenge M, Lopez SM, Martin P, Mascalchi M, Moreira JCV, Morita-Sherman ME, Pardoe HR, Pariente JC, Raviteja K, Rocha CS, Rodríguez-Cruces R, Seeck M, Semmelroch MKHG, Sinclair B, Soltanian-Zadeh H, Stein DJ, Striano P, Taylor PN, Thomas RH, Thomopoulos SI, Velakoulis D, Vivash L, Weber B, Yasuda CL, Zhang J, Thompson PM, McDonald CR. The ENIGMA-Epilepsy working group: Mapping disease from large data sets. Hum Brain Mapp. 2020 May 29; doi: 10.1002/hbm.25037. Epub 2020 May 29. PMID: 32468614.
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Hippocampus and cognitive domain deficits in treatment-resistant schizophrenia: A comparison with matched treatment-responsive patients and healthy controls.

Psychiatry research. Neuroimaging

Huang J, Zhu Y, Fan F, Chen S, Hong Y, Cui Y, Luo X, Tan S, Wang Z, Shang L, Yuan Y, Zhang J, Yang F, Li CR, Rowland LM, Kochunov P, Zhang F, Hong LE, Tan Y.
PMID: 32062167
Psychiatry Res Neuroimaging. 2020 Feb 04;297:111043. doi: 10.1016/j.pscychresns.2020.111043. Epub 2020 Feb 04.

Some patients with schizophrenia do not respond to pharmacotherapy. More severe cognitive dysfunctions have been associated with treatment-resistant schizophrenia (TRS). This study examines cognitive functions and hippocampal volumes in 43 patients with TRS and compared them to 43 treatment-responsive...

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Huang J, Zhu Y, Fan F, et al. Hippocampus and cognitive domain deficits in treatment-resistant schizophrenia: A comparison with matched treatment-responsive patients and healthy controls. Psychiatry Res Neuroimaging. 2020;297:111043doi: 10.1016/j.pscychresns.2020.111043.
Huang, J., Zhu, Y., Fan, F., Chen, S., Hong, Y., Cui, Y., Luo, X., Tan, S., Wang, Z., Shang, L., Yuan, Y., Zhang, J., Yang, F., Li, C. R., Rowland, L. M., Kochunov, P., Zhang, F., Hong, L. E., & Tan, Y. (2020). Hippocampus and cognitive domain deficits in treatment-resistant schizophrenia: A comparison with matched treatment-responsive patients and healthy controls. Psychiatry research. Neuroimaging, 297111043. https://doi.org/10.1016/j.pscychresns.2020.111043
Huang, Junchao, et al. "Hippocampus and cognitive domain deficits in treatment-resistant schizophrenia: A comparison with matched treatment-responsive patients and healthy controls." Psychiatry research. Neuroimaging vol. 297 (2020): 111043. doi: https://doi.org/10.1016/j.pscychresns.2020.111043
Huang J, Zhu Y, Fan F, Chen S, Hong Y, Cui Y, Luo X, Tan S, Wang Z, Shang L, Yuan Y, Zhang J, Yang F, Li CR, Rowland LM, Kochunov P, Zhang F, Hong LE, Tan Y. Hippocampus and cognitive domain deficits in treatment-resistant schizophrenia: A comparison with matched treatment-responsive patients and healthy controls. Psychiatry Res Neuroimaging. 2020 Feb 04;297:111043. doi: 10.1016/j.pscychresns.2020.111043. Epub 2020 Feb 04. PMID: 32062167; PMCID: PMC7490244.
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White matter alterations and the conversion to psychosis: A combined diffusion tensor imaging and glutamate .

Schizophrenia research

León-Ortiz P, Reyes-Madrigal F, Kochunov P, Gómez-Cruz G, Moncada-Habib T, Malacara M, Mora-Durán R, Rowland LM, de la Fuente-Sandoval C.
PMID: 32595100
Schizophr Res. 2020 Jun 25; doi: 10.1016/j.schres.2020.06.006. Epub 2020 Jun 25.

INTRODUCTION: Widespread white matter abnormalities and alterations in glutamate levels have been reported in patients with schizophrenia. We hypothesized that alterations in white matter integrity and glutamate levels in individuals at clinical high risk (CHR) for psychosis are associated...

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León-Ortiz P, Reyes-Madrigal F, Kochunov P, et al. White matter alterations and the conversion to psychosis: A combined diffusion tensor imaging and glutamate . Schizophr Res. 2020;doi: 10.1016/j.schres.2020.06.006.
León-Ortiz, P., Reyes-Madrigal, F., Kochunov, P., Gómez-Cruz, G., Moncada-Habib, T., Malacara, M., Mora-Durán, R., Rowland, L. M., & de la Fuente-Sandoval, C. (2020). White matter alterations and the conversion to psychosis: A combined diffusion tensor imaging and glutamate . Schizophrenia research, . https://doi.org/10.1016/j.schres.2020.06.006
León-Ortiz, Pablo, et al. "White matter alterations and the conversion to psychosis: A combined diffusion tensor imaging and glutamate ." Schizophrenia research vol. (2020). doi: https://doi.org/10.1016/j.schres.2020.06.006
León-Ortiz P, Reyes-Madrigal F, Kochunov P, Gómez-Cruz G, Moncada-Habib T, Malacara M, Mora-Durán R, Rowland LM, de la Fuente-Sandoval C. White matter alterations and the conversion to psychosis: A combined diffusion tensor imaging and glutamate . Schizophr Res. 2020 Jun 25; doi: 10.1016/j.schres.2020.06.006. Epub 2020 Jun 25. PMID: 32595100.
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Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

Kochunov P, Ma Y, Hatch KS, Schmaal L, Jahanshad N, Thompson PM, Adhikari BM, Bruce H, Chiappelli J, Van der Vaart A, Goldwaser EL, Sotiras A, Ma T, Chen S, Nichols TE, Hong LE.
PMID: 34890143
Pac Symp Biocomput. 2022;27:133-143.

Big Data neuroimaging collaborations including Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) integrated worldwide data to identify regional brain deficits in major depressive disorder (MDD). We evaluated the sensitivity of translating ENIGMA-defined MDD deficit patterns to the individual level....

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Kochunov P, Ma Y, Hatch KS, et al. Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product. Pac Symp Biocomput. 2022;27:133-143
Kochunov, P., Ma, Y., Hatch, K. S., Schmaal, L., Jahanshad, N., Thompson, P. M., Adhikari, B. M., Bruce, H., Chiappelli, J., Van der Vaart, A., Goldwaser, E. L., Sotiras, A., Ma, T., Chen, S., Nichols, T. E., & Hong, L. E. (2022). Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 27133-143.
Kochunov, Peter, et al. "Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product." Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing vol. 27 (2022): 133-143.
Kochunov P, Ma Y, Hatch KS, Schmaal L, Jahanshad N, Thompson PM, Adhikari BM, Bruce H, Chiappelli J, Van der Vaart A, Goldwaser EL, Sotiras A, Ma T, Chen S, Nichols TE, Hong LE. Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product. Pac Symp Biocomput. 2022;27:133-143. PMID: 34890143; PMCID: PMC8719281.
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Showing 1 to 12 of 109 entries