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Gray Matter Abnormalities in Idiopathic Parkinson's Disease: Evaluation by Diffusional Kurtosis Imaging and Neurite Orientation Dispersion and Density Imaging.

Human brain mapping

Kamagata K, Zalesky A, Hatano T, Ueda R, Di Biase MA, Okuzumi A, Shimoji K, Hori M, Caeyenberghs K, Pantelis C, Hattori N, Aoki S.
PMID: 28470878
Hum Brain Mapp. 2017 Jul;38(7):3704-3722. doi: 10.1002/hbm.23628. Epub 2017 May 04.

Mapping gray matter (GM) pathology in Parkinson's disease (PD) with conventional MRI is challenging, and the need for more sensitive brain imaging techniques is essential to facilitate early diagnosis and assessment of disease severity. GM microstructure was assessed with...

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Kamagata K, Zalesky A, Hatano T, et al. Gray Matter Abnormalities in Idiopathic Parkinson's Disease: Evaluation by Diffusional Kurtosis Imaging and Neurite Orientation Dispersion and Density Imaging. Hum Brain Mapp. 2017;38(7):3704-3722doi: 10.1002/hbm.23628.
Kamagata, K., Zalesky, A., Hatano, T., Ueda, R., Di Biase, M. A., Okuzumi, A., Shimoji, K., Hori, M., Caeyenberghs, K., Pantelis, C., Hattori, N., & Aoki, S. (2017). Gray Matter Abnormalities in Idiopathic Parkinson's Disease: Evaluation by Diffusional Kurtosis Imaging and Neurite Orientation Dispersion and Density Imaging. Human brain mapping, 38(7), 3704-3722. https://doi.org/10.1002/hbm.23628
Kamagata, Koji, et al. "Gray Matter Abnormalities in Idiopathic Parkinson's Disease: Evaluation by Diffusional Kurtosis Imaging and Neurite Orientation Dispersion and Density Imaging." Human brain mapping vol. 38,7 (2017): 3704-3722. doi: https://doi.org/10.1002/hbm.23628
Kamagata K, Zalesky A, Hatano T, Ueda R, Di Biase MA, Okuzumi A, Shimoji K, Hori M, Caeyenberghs K, Pantelis C, Hattori N, Aoki S. Gray Matter Abnormalities in Idiopathic Parkinson's Disease: Evaluation by Diffusional Kurtosis Imaging and Neurite Orientation Dispersion and Density Imaging. Hum Brain Mapp. 2017 Jul;38(7):3704-3722. doi: 10.1002/hbm.23628. Epub 2017 May 04. PMID: 28470878; PMCID: PMC6867088.
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An in situ cell to study phase transitions in individual aerosol particles on a substrate using scanning transmission x-ray microspectroscopy.

The Review of scientific instruments

Huthwelker T, Zelenay V, Birrer M, Krepelova A, Raabe J, Tzvetkov G, Vernooij MG, Ammann M.
PMID: 21133477
Rev Sci Instrum. 2010 Nov;81(11):113706. doi: 10.1063/1.3494604.

A new in situ cell to study phase transitions and chemical processes on individual aerosol particles in the x-ray transmission microscope at the PolLux beamline of the Swiss light source has been built. The cell is machined from stainless...

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Huthwelker T, Zelenay V, Birrer M, et al. An in situ cell to study phase transitions in individual aerosol particles on a substrate using scanning transmission x-ray microspectroscopy. Rev Sci Instrum. 2010;81(11):113706doi: 10.1063/1.3494604.
Huthwelker, T., Zelenay, V., Birrer, M., Krepelova, A., Raabe, J., Tzvetkov, G., Vernooij, M. G., & Ammann, M. (2010). An in situ cell to study phase transitions in individual aerosol particles on a substrate using scanning transmission x-ray microspectroscopy. The Review of scientific instruments, 81(11), 113706. https://doi.org/10.1063/1.3494604
Huthwelker, T, et al. "An in situ cell to study phase transitions in individual aerosol particles on a substrate using scanning transmission x-ray microspectroscopy." The Review of scientific instruments vol. 81,11 (2010): 113706. doi: https://doi.org/10.1063/1.3494604
Huthwelker T, Zelenay V, Birrer M, Krepelova A, Raabe J, Tzvetkov G, Vernooij MG, Ammann M. An in situ cell to study phase transitions in individual aerosol particles on a substrate using scanning transmission x-ray microspectroscopy. Rev Sci Instrum. 2010 Nov;81(11):113706. doi: 10.1063/1.3494604. PMID: 21133477.
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Network scaling effects in graph analytic studies of human resting-state FMRI data.

Frontiers in systems neuroscience

Fornito A, Zalesky A, Bullmore ET.
PMID: 20592949
Front Syst Neurosci. 2010 Jun 17;4:22. doi: 10.3389/fnsys.2010.00022. eCollection 2010.

Graph analysis has become an increasingly popular tool for characterizing topological properties of brain connectivity networks. Within this approach, the brain is modeled as a graph comprising N nodes connected by M edges. In functional magnetic resonance imaging (fMRI)...

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Fornito A, Zalesky A, Bullmore ET. Network scaling effects in graph analytic studies of human resting-state FMRI data. Front Syst Neurosci. 2010;4:22doi: 10.3389/fnsys.2010.00022.
Fornito, A., Zalesky, A., & Bullmore, E. T. (2010). Network scaling effects in graph analytic studies of human resting-state FMRI data. Frontiers in systems neuroscience, 422. https://doi.org/10.3389/fnsys.2010.00022
Fornito, Alex, et al. "Network scaling effects in graph analytic studies of human resting-state FMRI data." Frontiers in systems neuroscience vol. 4 (2010): 22. doi: https://doi.org/10.3389/fnsys.2010.00022
Fornito A, Zalesky A, Bullmore ET. Network scaling effects in graph analytic studies of human resting-state FMRI data. Front Syst Neurosci. 2010 Jun 17;4:22. doi: 10.3389/fnsys.2010.00022. eCollection 2010. PMID: 20592949; PMCID: PMC2893703.
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Dissecting peripheral superior cerebellar artery aneurysms: Report of two cases and review of the literature.

Surgical neurology international

Nussbaum ES, Defillo A, Zelensky A, Stoller R, Nussbaum L.
PMID: 21697986
Surg Neurol Int. 2011;2:69. doi: 10.4103/2152-7806.81731. Epub 2011 May 28.

BACKGROUND: Only a limited number of dissecting aneurysms of the peripheral cerebellar arteries have been previously described, and very few of these cases involve the superior cerebellar artery (SCA). Due to the rarity of these lesions, there is little...

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Nussbaum ES, Defillo A, Zelensky A, et al. Dissecting peripheral superior cerebellar artery aneurysms: Report of two cases and review of the literature. Surg Neurol Int. 2011;2:69doi: 10.4103/2152-7806.81731.
Nussbaum, E. S., Defillo, A., Zelensky, A., Stoller, R., & Nussbaum, L. (2011). Dissecting peripheral superior cerebellar artery aneurysms: Report of two cases and review of the literature. Surgical neurology international, 269. https://doi.org/10.4103/2152-7806.81731
Nussbaum, Eric S, et al. "Dissecting peripheral superior cerebellar artery aneurysms: Report of two cases and review of the literature." Surgical neurology international vol. 2 (2011): 69. doi: https://doi.org/10.4103/2152-7806.81731
Nussbaum ES, Defillo A, Zelensky A, Stoller R, Nussbaum L. Dissecting peripheral superior cerebellar artery aneurysms: Report of two cases and review of the literature. Surg Neurol Int. 2011;2:69. doi: 10.4103/2152-7806.81731. Epub 2011 May 28. PMID: 21697986; PMCID: PMC3115274.
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HCS road: an enterprise system for integrated HCS data management and analysis.

Journal of biomolecular screening

Jackson D, Lenard M, Zelensky A, Shaikh M, Scharpf JV, Shaginaw R, Nawade M, Agler M, Cloutier NJ, Fennell M, Guo Q, Wardwell-Swanson J, Zhao D, Zhu Y, Miller C, Gill J.
PMID: 20639503
J Biomol Screen. 2010 Aug;15(7):882-91. doi: 10.1177/1087057110374233. Epub 2010 Jul 16.

The effective analysis and interpretation of high-content screening (HCS) data requires joining results to information on experimental treatments and controls, normalizing data, and selecting hits or fitting concentration-response curves. HCS data have unique requirements that are not supported by...

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Jackson D, Lenard M, Zelensky A, et al. HCS road: an enterprise system for integrated HCS data management and analysis. J Biomol Screen. 2010;15(7):882-91doi: 10.1177/1087057110374233.
Jackson, D., Lenard, M., Zelensky, A., Shaikh, M., Scharpf, J. V., Shaginaw, R., Nawade, M., Agler, M., Cloutier, N. J., Fennell, M., Guo, Q., Wardwell-Swanson, J., Zhao, D., Zhu, Y., Miller, C., & Gill, J. (2010). HCS road: an enterprise system for integrated HCS data management and analysis. Journal of biomolecular screening, 15(7), 882-91. https://doi.org/10.1177/1087057110374233
Jackson, Donald, et al. "HCS road: an enterprise system for integrated HCS data management and analysis." Journal of biomolecular screening vol. 15,7 (2010): 882-91. doi: https://doi.org/10.1177/1087057110374233
Jackson D, Lenard M, Zelensky A, Shaikh M, Scharpf JV, Shaginaw R, Nawade M, Agler M, Cloutier NJ, Fennell M, Guo Q, Wardwell-Swanson J, Zhao D, Zhu Y, Miller C, Gill J. HCS road: an enterprise system for integrated HCS data management and analysis. J Biomol Screen. 2010 Aug;15(7):882-91. doi: 10.1177/1087057110374233. Epub 2010 Jul 16. PMID: 20639503.
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White matter changes in psychosis risk relate to development and are not impacted by the transition to psychosis.

Molecular psychiatry

Di Biase MA, Cetin-Karayumak S, Lyall AE, Zalesky A, Cho KIK, Zhang F, Kubicki M, Rathi Y, Lyons MG, Bouix S, Billah T, Anticevic A, Schleifer C, Adkinson BD, Ji JL, Tamayo Z, Addington J, Bearden CE, Cornblatt BA, Keshavan MS, Mathalon DH, McGlashan TH, Perkins DO, Cadenhead KS, Tsuang MT, Woods SW, Stone WS, Shenton ME, Cannon TD, Pasternak O.
PMID: 34024906
Mol Psychiatry. 2021 Nov;26(11):6833-6844. doi: 10.1038/s41380-021-01128-8. Epub 2021 May 24.

Subtle alterations in white matter microstructure are observed in youth at clinical high risk (CHR) for psychosis. However, the timing of these changes and their relationships to the emergence of psychosis remain unclear. Here, we track the evolution of...

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Di Biase MA, Cetin-Karayumak S, Lyall AE, et al. White matter changes in psychosis risk relate to development and are not impacted by the transition to psychosis. Mol Psychiatry. 2021;26(11):6833-6844doi: 10.1038/s41380-021-01128-8.
Di Biase, M. A., Cetin-Karayumak, S., Lyall, A. E., Zalesky, A., Cho, K. I. K., Zhang, F., Kubicki, M., Rathi, Y., Lyons, M. G., Bouix, S., Billah, T., Anticevic, A., Schleifer, C., Adkinson, B. D., Ji, J. L., Tamayo, Z., Addington, J., Bearden, C. E., Cornblatt, B. A., Keshavan, M. S., Mathalon, D. H., McGlashan, T. H., Perkins, D. O., Cadenhead, K. S., Tsuang, M. T., Woods, S. W., Stone, W. S., Shenton, M. E., Cannon, T. D., & Pasternak, O. (2021). White matter changes in psychosis risk relate to development and are not impacted by the transition to psychosis. Molecular psychiatry, 26(11), 6833-6844. https://doi.org/10.1038/s41380-021-01128-8
Di Biase, Maria A, et al. "White matter changes in psychosis risk relate to development and are not impacted by the transition to psychosis." Molecular psychiatry vol. 26,11 (2021): 6833-6844. doi: https://doi.org/10.1038/s41380-021-01128-8
Di Biase MA, Cetin-Karayumak S, Lyall AE, Zalesky A, Cho KIK, Zhang F, Kubicki M, Rathi Y, Lyons MG, Bouix S, Billah T, Anticevic A, Schleifer C, Adkinson BD, Ji JL, Tamayo Z, Addington J, Bearden CE, Cornblatt BA, Keshavan MS, Mathalon DH, McGlashan TH, Perkins DO, Cadenhead KS, Tsuang MT, Woods SW, Stone WS, Shenton ME, Cannon TD, Pasternak O. White matter changes in psychosis risk relate to development and are not impacted by the transition to psychosis. Mol Psychiatry. 2021 Nov;26(11):6833-6844. doi: 10.1038/s41380-021-01128-8. Epub 2021 May 24. PMID: 34024906; PMCID: PMC8611104.
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White matter changes in psychosis risk relate to development and are not impacted by the transition to psychosis.

Molecular psychiatry

Di Biase MA, Cetin-Karayumak S, Lyall AE, Zalesky A, Cho KIK, Zhang F, Kubicki M, Rathi Y, Lyons MG, Bouix S, Billah T, Anticevic A, Schleifer C, Adkinson BD, Ji JL, Tamayo Z, Addington J, Bearden CE, Cornblatt BA, Keshavan MS, Mathalon DH, McGlashan TH, Perkins DO, Cadenhead KS, Tsuang MT, Woods SW, Stone WS, Shenton ME, Cannon TD, Pasternak O.
PMID: 34024906
Mol Psychiatry. 2021 Nov;26(11):6833-6844. doi: 10.1038/s41380-021-01128-8. Epub 2021 May 24.

Subtle alterations in white matter microstructure are observed in youth at clinical high risk (CHR) for psychosis. However, the timing of these changes and their relationships to the emergence of psychosis remain unclear. Here, we track the evolution of...

Cite
Di Biase MA, Cetin-Karayumak S, Lyall AE, et al. White matter changes in psychosis risk relate to development and are not impacted by the transition to psychosis. Mol Psychiatry. 2021;26(11):6833-6844doi: 10.1038/s41380-021-01128-8.
Di Biase, M. A., Cetin-Karayumak, S., Lyall, A. E., Zalesky, A., Cho, K. I. K., Zhang, F., Kubicki, M., Rathi, Y., Lyons, M. G., Bouix, S., Billah, T., Anticevic, A., Schleifer, C., Adkinson, B. D., Ji, J. L., Tamayo, Z., Addington, J., Bearden, C. E., Cornblatt, B. A., Keshavan, M. S., Mathalon, D. H., McGlashan, T. H., Perkins, D. O., Cadenhead, K. S., Tsuang, M. T., Woods, S. W., Stone, W. S., Shenton, M. E., Cannon, T. D., & Pasternak, O. (2021). White matter changes in psychosis risk relate to development and are not impacted by the transition to psychosis. Molecular psychiatry, 26(11), 6833-6844. https://doi.org/10.1038/s41380-021-01128-8
Di Biase, Maria A, et al. "White matter changes in psychosis risk relate to development and are not impacted by the transition to psychosis." Molecular psychiatry vol. 26,11 (2021): 6833-6844. doi: https://doi.org/10.1038/s41380-021-01128-8
Di Biase MA, Cetin-Karayumak S, Lyall AE, Zalesky A, Cho KIK, Zhang F, Kubicki M, Rathi Y, Lyons MG, Bouix S, Billah T, Anticevic A, Schleifer C, Adkinson BD, Ji JL, Tamayo Z, Addington J, Bearden CE, Cornblatt BA, Keshavan MS, Mathalon DH, McGlashan TH, Perkins DO, Cadenhead KS, Tsuang MT, Woods SW, Stone WS, Shenton ME, Cannon TD, Pasternak O. White matter changes in psychosis risk relate to development and are not impacted by the transition to psychosis. Mol Psychiatry. 2021 Nov;26(11):6833-6844. doi: 10.1038/s41380-021-01128-8. Epub 2021 May 24. PMID: 34024906; PMCID: PMC8611104.
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White Matter Alterations Between Brain Network Hubs Underlie Processing Speed Impairment in Patients With Schizophrenia.

Schizophrenia bulletin open

Klauser P, Cropley VL, Baumann PS, Lv J, Steullet P, Dwir D, Alemán-Gómez Y, Bach Cuadra M, Cuenod M, Do KQ, Conus P, Pantelis C, Fornito A, Van Rheenen TE, Zalesky A.
PMID: 34901867
Schizophr Bull Open. 2021 Jul 17;2(1):sgab033. doi: 10.1093/schizbullopen/sgab033. eCollection 2021 Jan.

Processing speed (PS) impairment is one of the most severe and common cognitive deficits in schizophrenia. Previous studies have reported correlations between PS and white matter diffusion properties, including fractional anisotropy (FA), in several fiber bundles in schizophrenia, suggesting...

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Klauser P, Cropley VL, Baumann PS, et al. White Matter Alterations Between Brain Network Hubs Underlie Processing Speed Impairment in Patients With Schizophrenia. Schizophr Bull Open. 2021;2(1):sgab033doi: 10.1093/schizbullopen/sgab033.
Klauser, P., Cropley, V. L., Baumann, P. S., Lv, J., Steullet, P., Dwir, D., Alemán-Gómez, Y., Bach Cuadra, M., Cuenod, M., Do, K. Q., Conus, P., Pantelis, C., Fornito, A., Van Rheenen, T. E., & Zalesky, A. (2021). White Matter Alterations Between Brain Network Hubs Underlie Processing Speed Impairment in Patients With Schizophrenia. Schizophrenia bulletin open, 2(1), sgab033. https://doi.org/10.1093/schizbullopen/sgab033
Klauser, Paul, et al. "White Matter Alterations Between Brain Network Hubs Underlie Processing Speed Impairment in Patients With Schizophrenia." Schizophrenia bulletin open vol. 2,1 (2021): sgab033. doi: https://doi.org/10.1093/schizbullopen/sgab033
Klauser P, Cropley VL, Baumann PS, Lv J, Steullet P, Dwir D, Alemán-Gómez Y, Bach Cuadra M, Cuenod M, Do KQ, Conus P, Pantelis C, Fornito A, Van Rheenen TE, Zalesky A. White Matter Alterations Between Brain Network Hubs Underlie Processing Speed Impairment in Patients With Schizophrenia. Schizophr Bull Open. 2021 Jul 17;2(1):sgab033. doi: 10.1093/schizbullopen/sgab033. eCollection 2021 Jan. PMID: 34901867; PMCID: PMC8650074.
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Functional Magnetic Resonance Imaging-Guided Personalization of Transcranial Magnetic Stimulation Treatment for Depression.

JAMA psychiatry

Cash RFH, Cocchi L, Lv J, Fitzgerald PB, Zalesky A.
PMID: 33237320
JAMA Psychiatry. 2021 Mar 01;78(3):337-339. doi: 10.1001/jamapsychiatry.2020.3794.

No abstract available.

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Cash RFH, Cocchi L, Lv J, et al. Functional Magnetic Resonance Imaging-Guided Personalization of Transcranial Magnetic Stimulation Treatment for Depression. JAMA Psychiatry. 2021;78(3):337-339doi: 10.1001/jamapsychiatry.2020.3794.
Cash, R. F. H., Cocchi, L., Lv, J., Fitzgerald, P. B., & Zalesky, A. (2021). Functional Magnetic Resonance Imaging-Guided Personalization of Transcranial Magnetic Stimulation Treatment for Depression. JAMA psychiatry, 78(3), 337-339. https://doi.org/10.1001/jamapsychiatry.2020.3794
Cash, Robin F H, et al. "Functional Magnetic Resonance Imaging-Guided Personalization of Transcranial Magnetic Stimulation Treatment for Depression." JAMA psychiatry vol. 78,3 (2021): 337-339. doi: https://doi.org/10.1001/jamapsychiatry.2020.3794
Cash RFH, Cocchi L, Lv J, Fitzgerald PB, Zalesky A. Functional Magnetic Resonance Imaging-Guided Personalization of Transcranial Magnetic Stimulation Treatment for Depression. JAMA Psychiatry. 2021 Mar 01;78(3):337-339. doi: 10.1001/jamapsychiatry.2020.3794. PMID: 33237320; PMCID: PMC7689561.
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Brain stimulation and brain lesions converge on common causal circuits in neuropsychiatric disease.

Nature human behaviour

Siddiqi SH, Schaper FLWVJ, Horn A, Hsu J, Padmanabhan JL, Brodtmann A, Cash RFH, Corbetta M, Choi KS, Dougherty DD, Egorova N, Fitzgerald PB, George MS, Gozzi SA, Irmen F, Kuhn AA, Johnson KA, Naidech AM, Pascual-Leone A, Phan TG, Rouhl RPW, Taylor SF, Voss JL, Zalesky A, Grafman JH, Mayberg HS, Fox MD.
PMID: 34239076
Nat Hum Behav. 2021 Dec;5(12):1707-1716. doi: 10.1038/s41562-021-01161-1. Epub 2021 Jul 08.

Damage to specific brain circuits can cause specific neuropsychiatric symptoms. Therapeutic stimulation to these same circuits may modulate these symptoms. To determine whether these circuits converge, we studied depression severity after brain lesions (n = 461, five datasets), transcranial...

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Siddiqi SH, Schaper FLWVJ, Horn A, et al. Brain stimulation and brain lesions converge on common causal circuits in neuropsychiatric disease. Nat Hum Behav. 2021;5(12):1707-1716doi: 10.1038/s41562-021-01161-1.
Siddiqi, S. H., Schaper, F. L. W. V. J., Horn, A., Hsu, J., Padmanabhan, J. L., Brodtmann, A., Cash, R. F. H., Corbetta, M., Choi, K. S., Dougherty, D. D., Egorova, N., Fitzgerald, P. B., George, M. S., Gozzi, S. A., Irmen, F., Kuhn, A. A., Johnson, K. A., Naidech, A. M., Pascual-Leone, A., Phan, T. G., Rouhl, R. P. W., Taylor, S. F., Voss, J. L., Zalesky, A., Grafman, J. H., Mayberg, H. S., & Fox, M. D. (2021). Brain stimulation and brain lesions converge on common causal circuits in neuropsychiatric disease. Nature human behaviour, 5(12), 1707-1716. https://doi.org/10.1038/s41562-021-01161-1
Siddiqi, Shan H, et al. "Brain stimulation and brain lesions converge on common causal circuits in neuropsychiatric disease." Nature human behaviour vol. 5,12 (2021): 1707-1716. doi: https://doi.org/10.1038/s41562-021-01161-1
Siddiqi SH, Schaper FLWVJ, Horn A, Hsu J, Padmanabhan JL, Brodtmann A, Cash RFH, Corbetta M, Choi KS, Dougherty DD, Egorova N, Fitzgerald PB, George MS, Gozzi SA, Irmen F, Kuhn AA, Johnson KA, Naidech AM, Pascual-Leone A, Phan TG, Rouhl RPW, Taylor SF, Voss JL, Zalesky A, Grafman JH, Mayberg HS, Fox MD. Brain stimulation and brain lesions converge on common causal circuits in neuropsychiatric disease. Nat Hum Behav. 2021 Dec;5(12):1707-1716. doi: 10.1038/s41562-021-01161-1. Epub 2021 Jul 08. PMID: 34239076.
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Synchronization lag in post stroke: relation to motor function and structural connectivity.

Network neuroscience (Cambridge, Mass.)

Wang X, Seguin C, Zalesky A, Wong WW, Chu WC, Tong RK.
PMID: 31637341
Netw Neurosci. 2019 Sep 01;3(4):1121-1140. doi: 10.1162/netn_a_00105. eCollection 2019.

Stroke is characterized by delays in the resting-state hemodynamic response, resulting in synchronization lag in neural activity between brain regions. However, the structural basis of this lag remains unclear. In this study, we used resting-state functional MRI (rs-fMRI) to...

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Wang X, Seguin C, Zalesky A, et al. Synchronization lag in post stroke: relation to motor function and structural connectivity. Netw Neurosci. 2019;3(4):1121-1140doi: 10.1162/netn_a_00105.
Wang, X., Seguin, C., Zalesky, A., Wong, W. W., Chu, W. C., & Tong, R. K. (2019). Synchronization lag in post stroke: relation to motor function and structural connectivity. Network neuroscience (Cambridge, Mass.), 3(4), 1121-1140. https://doi.org/10.1162/netn_a_00105
Wang, Xin, et al. "Synchronization lag in post stroke: relation to motor function and structural connectivity." Network neuroscience (Cambridge, Mass.) vol. 3,4 (2019): 1121-1140. doi: https://doi.org/10.1162/netn_a_00105
Wang X, Seguin C, Zalesky A, Wong WW, Chu WC, Tong RK. Synchronization lag in post stroke: relation to motor function and structural connectivity. Netw Neurosci. 2019 Sep 01;3(4):1121-1140. doi: 10.1162/netn_a_00105. eCollection 2019. PMID: 31637341; PMCID: PMC6777982.
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Predicting individual improvement in schizophrenia symptom severity at 1-year follow-up: Comparison of connectomic, structural, and clinical predictors.

Human brain mapping

Kottaram A, Johnston LA, Tian Y, Ganella EP, Laskaris L, Cocchi L, McGorry P, Pantelis C, Kotagiri R, Cropley V, Zalesky A.
PMID: 32469448
Hum Brain Mapp. 2020 Aug 15;41(12):3342-3357. doi: 10.1002/hbm.25020. Epub 2020 May 29.

In a machine learning setting, this study aims to compare the prognostic utility of connectomic, brain structural, and clinical/demographic predictors of individual change in symptom severity in individuals with schizophrenia. Symptom severity at baseline and 1-year follow-up was assessed...

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Kottaram A, Johnston LA, Tian Y, et al. Predicting individual improvement in schizophrenia symptom severity at 1-year follow-up: Comparison of connectomic, structural, and clinical predictors. Hum Brain Mapp. 2020;41(12):3342-3357doi: 10.1002/hbm.25020.
Kottaram, A., Johnston, L. A., Tian, Y., Ganella, E. P., Laskaris, L., Cocchi, L., McGorry, P., Pantelis, C., Kotagiri, R., Cropley, V., & Zalesky, A. (2020). Predicting individual improvement in schizophrenia symptom severity at 1-year follow-up: Comparison of connectomic, structural, and clinical predictors. Human brain mapping, 41(12), 3342-3357. https://doi.org/10.1002/hbm.25020
Kottaram, Akhil, et al. "Predicting individual improvement in schizophrenia symptom severity at 1-year follow-up: Comparison of connectomic, structural, and clinical predictors." Human brain mapping vol. 41,12 (2020): 3342-3357. doi: https://doi.org/10.1002/hbm.25020
Kottaram A, Johnston LA, Tian Y, Ganella EP, Laskaris L, Cocchi L, McGorry P, Pantelis C, Kotagiri R, Cropley V, Zalesky A. Predicting individual improvement in schizophrenia symptom severity at 1-year follow-up: Comparison of connectomic, structural, and clinical predictors. Hum Brain Mapp. 2020 Aug 15;41(12):3342-3357. doi: 10.1002/hbm.25020. Epub 2020 May 29. PMID: 32469448; PMCID: PMC7375115.
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Showing 1 to 12 of 81 entries