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Neurophysiological Distinction between Schizophrenia and Schizoaffective Disorder.

Frontiers in human neuroscience

Mathalon DH, Hoffman RE, Watson TD, Miller RM, Roach BJ, Ford JM.
PMID: 20140266
Front Hum Neurosci. 2010 Jan 29;3:70. doi: 10.3389/neuro.09.070.2009. eCollection 2010.

Schizoaffective disorder (SA) is distinguished from schizophrenia (SZ) based on the presence of prominent mood symptoms over the illness course. Despite this clinical distinction, SA and SZ patients are often combined in research studies, in part because data supporting...

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Mathalon DH, Hoffman RE, Watson TD, et al. Neurophysiological Distinction between Schizophrenia and Schizoaffective Disorder. Front Hum Neurosci. 2010;3:70doi: 10.3389/neuro.09.070.2009.
Mathalon, D. H., Hoffman, R. E., Watson, T. D., Miller, R. M., Roach, B. J., & Ford, J. M. (2010). Neurophysiological Distinction between Schizophrenia and Schizoaffective Disorder. Frontiers in human neuroscience, 370. https://doi.org/10.3389/neuro.09.070.2009
Mathalon, Daniel H, et al. "Neurophysiological Distinction between Schizophrenia and Schizoaffective Disorder." Frontiers in human neuroscience vol. 3 (2010): 70. doi: https://doi.org/10.3389/neuro.09.070.2009
Mathalon DH, Hoffman RE, Watson TD, Miller RM, Roach BJ, Ford JM. Neurophysiological Distinction between Schizophrenia and Schizoaffective Disorder. Front Hum Neurosci. 2010 Jan 29;3:70. doi: 10.3389/neuro.09.070.2009. eCollection 2010. PMID: 20140266; PMCID: PMC2816168.
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Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia.

Frontiers in psychiatry

Gupta CN, Castro E, Rachkonda S, van Erp TGM, Potkin S, Ford JM, Mathalon D, Lee HJ, Mueller BA, Greve DN, Andreassen OA, Agartz I, Mayer AR, Stephen J, Jung RE, Bustillo J, Calhoun VD, Turner JA.
PMID: 29018368
Front Psychiatry. 2017 Sep 26;8:179. doi: 10.3389/fpsyt.2017.00179. eCollection 2017.

Clinical and cognitive symptoms domain-based subtyping in schizophrenia (Sz) has been critiqued due to the lack of neurobiological correlates and heterogeneity in symptom scores. We, therefore, present a novel data-driven framework using biclustered independent component analysis to detect subtypes...

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Gupta CN, Castro E, Rachkonda S, et al. Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia. Front Psychiatry. 2017;8:179doi: 10.3389/fpsyt.2017.00179.
Gupta, C. N., Castro, E., Rachkonda, S., van Erp, T. G. M., Potkin, S., Ford, J. M., Mathalon, D., Lee, H. J., Mueller, B. A., Greve, D. N., Andreassen, O. A., Agartz, I., Mayer, A. R., Stephen, J., Jung, R. E., Bustillo, J., Calhoun, V. D., & Turner, J. A. (2017). Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia. Frontiers in psychiatry, 8179. https://doi.org/10.3389/fpsyt.2017.00179
Gupta, Cota Navin, et al. "Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia." Frontiers in psychiatry vol. 8 (2017): 179. doi: https://doi.org/10.3389/fpsyt.2017.00179
Gupta CN, Castro E, Rachkonda S, van Erp TGM, Potkin S, Ford JM, Mathalon D, Lee HJ, Mueller BA, Greve DN, Andreassen OA, Agartz I, Mayer AR, Stephen J, Jung RE, Bustillo J, Calhoun VD, Turner JA. Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia. Front Psychiatry. 2017 Sep 26;8:179. doi: 10.3389/fpsyt.2017.00179. eCollection 2017. PMID: 29018368; PMCID: PMC5623192.
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Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium.

Molecular psychiatry

van Erp TG, Hibar DP, Rasmussen JM, Glahn DC, Pearlson GD, Andreassen OA, Agartz I, Westlye LT, Haukvik UK, Dale AM, Melle I, Hartberg CB, Gruber O, Kraemer B, Zilles D, Donohoe G, Kelly S, McDonald C, Morris DW, Cannon DM, Corvin A, Machielsen MW, Koenders L, de Haan L, Veltman DJ, Satterthwaite TD, Wolf DH, Gur RC, Gur RE, Potkin SG, Mathalon DH, Mueller BA, Preda A, Macciardi F, Ehrlich S, Walton E, Hass J, Calhoun VD, Bockholt HJ, Sponheim SR, Shoemaker JM, van Haren NE, Pol HE, Ophoff RA, Kahn RS, Roiz-Santiañez R, Crespo-Facorro B, Wang L, Alpert KI, Jönsson EG, Dimitrova R, Bois C, Whalley HC, McIntosh AM, Lawrie SM, Hashimoto R, Thompson PM, Turner JA.
PMID: 26283641
Mol Psychiatry. 2016 Apr;21(4):585. doi: 10.1038/mp.2015.118. Epub 2015 Aug 18.

No abstract available.

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van Erp TG, Hibar DP, Rasmussen JM, et al. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Mol Psychiatry. 2015;21(4):585doi: 10.1038/mp.2015.118.
van Erp, T. G., Hibar, D. P., Rasmussen, J. M., Glahn, D. C., Pearlson, G. D., Andreassen, O. A., Agartz, I., Westlye, L. T., Haukvik, U. K., Dale, A. M., Melle, I., Hartberg, C. B., Gruber, O., Kraemer, B., Zilles, D., Donohoe, G., Kelly, S., McDonald, C., Morris, D. W., Cannon, D. M., Corvin, A., Machielsen, M. W., Koenders, L., de Haan, L., Veltman, D. J., Satterthwaite, T. D., Wolf, D. H., Gur, R. C., Gur, R. E., Potkin, S. G., Mathalon, D. H., Mueller, B. A., Preda, A., Macciardi, F., Ehrlich, S., Walton, E., Hass, J., Calhoun, V. D., Bockholt, H. J., Sponheim, S. R., Shoemaker, J. M., van Haren, N. E., Pol, H. E., Ophoff, R. A., Kahn, R. S., Roiz-Santiañez, R., Crespo-Facorro, B., Wang, L., Alpert, K. I., Jönsson, E. G., Dimitrova, R., Bois, C., Whalley, H. C., McIntosh, A. M., Lawrie, S. M., Hashimoto, R., Thompson, P. M., & Turner, J. A. (2016). Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Molecular psychiatry, 21(4), 585. https://doi.org/10.1038/mp.2015.118
van Erp, T G M, et al. "Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium." Molecular psychiatry vol. 21,4 (2016): 585. doi: https://doi.org/10.1038/mp.2015.118
van Erp TG, Hibar DP, Rasmussen JM, Glahn DC, Pearlson GD, Andreassen OA, Agartz I, Westlye LT, Haukvik UK, Dale AM, Melle I, Hartberg CB, Gruber O, Kraemer B, Zilles D, Donohoe G, Kelly S, McDonald C, Morris DW, Cannon DM, Corvin A, Machielsen MW, Koenders L, de Haan L, Veltman DJ, Satterthwaite TD, Wolf DH, Gur RC, Gur RE, Potkin SG, Mathalon DH, Mueller BA, Preda A, Macciardi F, Ehrlich S, Walton E, Hass J, Calhoun VD, Bockholt HJ, Sponheim SR, Shoemaker JM, van Haren NE, Pol HE, Ophoff RA, Kahn RS, Roiz-Santiañez R, Crespo-Facorro B, Wang L, Alpert KI, Jönsson EG, Dimitrova R, Bois C, Whalley HC, McIntosh AM, Lawrie SM, Hashimoto R, Thompson PM, Turner JA. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Mol Psychiatry. 2016 Apr;21(4):585. doi: 10.1038/mp.2015.118. Epub 2015 Aug 18. PMID: 26283641; PMCID: PMC5751698.
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Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia.

Frontiers in psychiatry

Gupta CN, Castro E, Rachkonda S, van Erp TGM, Potkin S, Ford JM, Mathalon D, Lee HJ, Mueller BA, Greve DN, Andreassen OA, Agartz I, Mayer AR, Stephen J, Jung RE, Bustillo J, Calhoun VD, Turner JA.
PMID: 29018368
Front Psychiatry. 2017 Sep 26;8:179. doi: 10.3389/fpsyt.2017.00179. eCollection 2017.

Clinical and cognitive symptoms domain-based subtyping in schizophrenia (Sz) has been critiqued due to the lack of neurobiological correlates and heterogeneity in symptom scores. We, therefore, present a novel data-driven framework using biclustered independent component analysis to detect subtypes...

Cite
Gupta CN, Castro E, Rachkonda S, et al. Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia. Front Psychiatry. 2017;8:179doi: 10.3389/fpsyt.2017.00179.
Gupta, C. N., Castro, E., Rachkonda, S., van Erp, T. G. M., Potkin, S., Ford, J. M., Mathalon, D., Lee, H. J., Mueller, B. A., Greve, D. N., Andreassen, O. A., Agartz, I., Mayer, A. R., Stephen, J., Jung, R. E., Bustillo, J., Calhoun, V. D., & Turner, J. A. (2017). Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia. Frontiers in psychiatry, 8179. https://doi.org/10.3389/fpsyt.2017.00179
Gupta, Cota Navin, et al. "Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia." Frontiers in psychiatry vol. 8 (2017): 179. doi: https://doi.org/10.3389/fpsyt.2017.00179
Gupta CN, Castro E, Rachkonda S, van Erp TGM, Potkin S, Ford JM, Mathalon D, Lee HJ, Mueller BA, Greve DN, Andreassen OA, Agartz I, Mayer AR, Stephen J, Jung RE, Bustillo J, Calhoun VD, Turner JA. Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia. Front Psychiatry. 2017 Sep 26;8:179. doi: 10.3389/fpsyt.2017.00179. eCollection 2017. PMID: 29018368; PMCID: PMC5623192.
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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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Anatomical and fMRI-network comparison of multiple DLPFC targeting strategies for repetitive transcranial magnetic stimulation treatment of depression.

Brain stimulation

Cardenas VA, Bhat JV, Horwege AM, Ehrlich TJ, Lavacot J, Mathalon DH, Glover GH, Roach BJ, Badran BW, Forman SD, George MS, Thase ME, Yesavage JA, Yurgelun-Todd D, Rosen AC.
PMID: 34767967
Brain Stimul. 2021 Nov 10;15(1):63-72. doi: 10.1016/j.brs.2021.11.008. Epub 2021 Nov 10.

BACKGROUND: The efficacy of repetitive transcranial magnetic stimulation (rTMS) for depression may vary depending on the subregion stimulated within the dorsolateral prefrontal cortex (DLPFC). Clinical TMS typically uses scalp-based landmarks for DLPFC targeting, rather than individualized MRI guidance.OBJECTIVE: In...

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Cardenas VA, Bhat JV, Horwege AM, et al. Anatomical and fMRI-network comparison of multiple DLPFC targeting strategies for repetitive transcranial magnetic stimulation treatment of depression. Brain Stimul. 2021;15(1):63-72doi: 10.1016/j.brs.2021.11.008.
Cardenas, V. A., Bhat, J. V., Horwege, A. M., Ehrlich, T. J., Lavacot, J., Mathalon, D. H., Glover, G. H., Roach, B. J., Badran, B. W., Forman, S. D., George, M. S., Thase, M. E., Yesavage, J. A., Yurgelun-Todd, D., & Rosen, A. C. (2021). Anatomical and fMRI-network comparison of multiple DLPFC targeting strategies for repetitive transcranial magnetic stimulation treatment of depression. Brain stimulation, 15(1), 63-72. https://doi.org/10.1016/j.brs.2021.11.008
Cardenas, V A, et al. "Anatomical and fMRI-network comparison of multiple DLPFC targeting strategies for repetitive transcranial magnetic stimulation treatment of depression." Brain stimulation vol. 15,1 (2021): 63-72. doi: https://doi.org/10.1016/j.brs.2021.11.008
Cardenas VA, Bhat JV, Horwege AM, Ehrlich TJ, Lavacot J, Mathalon DH, Glover GH, Roach BJ, Badran BW, Forman SD, George MS, Thase ME, Yesavage JA, Yurgelun-Todd D, Rosen AC. Anatomical and fMRI-network comparison of multiple DLPFC targeting strategies for repetitive transcranial magnetic stimulation treatment of depression. Brain Stimul. 2021 Nov 10;15(1):63-72. doi: 10.1016/j.brs.2021.11.008. Epub 2021 Nov 10. PMID: 34767967.
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North American Prodrome Longitudinal Study (NAPLS 3): Methods and baseline description.

Schizophrenia research

Addington J, Liu L, Brummitt K, Bearden CE, Cadenhead KS, Cornblatt BA, Keshavan M, Mathalon DH, McGlashan TH, Perkins DO, Seidman LJ, Stone W, Tsuang MT, Walker EF, Woods SW, Cannon TD.
PMID: 32317224
Schizophr Res. 2020 Apr 18; doi: 10.1016/j.schres.2020.04.010. Epub 2020 Apr 18.

The North American Prodrome Longitudinal Study (NAPLS) is a consortium of nine programs focusing on youth at clinical high risk (CHR) for psychosis. Funded by the National Institute of Mental Health (NIMH), the sites are located at Emory University,...

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Addington J, Liu L, Brummitt K, et al. North American Prodrome Longitudinal Study (NAPLS 3): Methods and baseline description. Schizophr Res. 2020;doi: 10.1016/j.schres.2020.04.010.
Addington, J., Liu, L., Brummitt, K., Bearden, C. E., Cadenhead, K. S., Cornblatt, B. A., Keshavan, M., Mathalon, D. H., McGlashan, T. H., Perkins, D. O., Seidman, L. J., Stone, W., Tsuang, M. T., Walker, E. F., Woods, S. W., & Cannon, T. D. (2020). North American Prodrome Longitudinal Study (NAPLS 3): Methods and baseline description. Schizophrenia research, . https://doi.org/10.1016/j.schres.2020.04.010
Addington, Jean, et al. "North American Prodrome Longitudinal Study (NAPLS 3): Methods and baseline description." Schizophrenia research vol. (2020). doi: https://doi.org/10.1016/j.schres.2020.04.010
Addington J, Liu L, Brummitt K, Bearden CE, Cadenhead KS, Cornblatt BA, Keshavan M, Mathalon DH, McGlashan TH, Perkins DO, Seidman LJ, Stone W, Tsuang MT, Walker EF, Woods SW, Cannon TD. North American Prodrome Longitudinal Study (NAPLS 3): Methods and baseline description. Schizophr Res. 2020 Apr 18; doi: 10.1016/j.schres.2020.04.010. Epub 2020 Apr 18. PMID: 32317224; PMCID: PMC7572535.
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Association between residential instability at individual and area levels and future psychosis in adolescents at clinical high risk from the North American Prodrome Longitudinal Study (NAPLS) consortium.

Schizophrenia research

Ku BS, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Compton MT, Cornblatt BA, Keshavan M, Mathalon DH, Perkins DO, Stone WS, Tsuang MT, Walker EF, Woods SW, Druss BG.
PMID: 34673386
Schizophr Res. 2021 Dec;238:137-144. doi: 10.1016/j.schres.2021.09.025. Epub 2021 Oct 19.

OBJECTIVE: Accumulating evidence supports an association between residential instability and increased risk for psychosis, but the association between residential instability and conversion to psychosis among adolescents at clinical high risk (CHR) is unclear. In this study, we determined whether...

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Ku BS, Addington J, Bearden CE, et al. Association between residential instability at individual and area levels and future psychosis in adolescents at clinical high risk from the North American Prodrome Longitudinal Study (NAPLS) consortium. Schizophr Res. 2021;238:137-144doi: 10.1016/j.schres.2021.09.025.
Ku, B. S., Addington, J., Bearden, C. E., Cadenhead, K. S., Cannon, T. D., Compton, M. T., Cornblatt, B. A., Keshavan, M., Mathalon, D. H., Perkins, D. O., Stone, W. S., Tsuang, M. T., Walker, E. F., Woods, S. W., & Druss, B. G. (2021). Association between residential instability at individual and area levels and future psychosis in adolescents at clinical high risk from the North American Prodrome Longitudinal Study (NAPLS) consortium. Schizophrenia research, 238137-144. https://doi.org/10.1016/j.schres.2021.09.025
Ku, Benson S, et al. "Association between residential instability at individual and area levels and future psychosis in adolescents at clinical high risk from the North American Prodrome Longitudinal Study (NAPLS) consortium." Schizophrenia research vol. 238 (2021): 137-144. doi: https://doi.org/10.1016/j.schres.2021.09.025
Ku BS, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Compton MT, Cornblatt BA, Keshavan M, Mathalon DH, Perkins DO, Stone WS, Tsuang MT, Walker EF, Woods SW, Druss BG. Association between residential instability at individual and area levels and future psychosis in adolescents at clinical high risk from the North American Prodrome Longitudinal Study (NAPLS) consortium. Schizophr Res. 2021 Dec;238:137-144. doi: 10.1016/j.schres.2021.09.025. Epub 2021 Oct 19. PMID: 34673386.
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Impaired Potentiation of Theta Oscillations During a Visual Cortical Plasticity Paradigm in Individuals With Schizophrenia.

Frontiers in psychiatry

Hamilton HK, Roach BJ, Cavus I, Teyler TJ, Clapp WC, Ford JM, Tarakci E, Krystal JH, Mathalon DH.
PMID: 33391054
Front Psychiatry. 2020 Dec 16;11:590567. doi: 10.3389/fpsyt.2020.590567. eCollection 2020.

Long-term potentiation (LTP) is a form of experience-dependent synaptic plasticity mediated by glutamatergic transmission at N-methyl-D-aspartate receptors (NMDARs). Impaired neuroplasticity has been implicated in the pathophysiology of schizophrenia, possibly due to underlying NMDAR hypofunction. Analogous to the high frequency...

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Hamilton HK, Roach BJ, Cavus I, et al. Impaired Potentiation of Theta Oscillations During a Visual Cortical Plasticity Paradigm in Individuals With Schizophrenia. Front Psychiatry. 2020;11:590567doi: 10.3389/fpsyt.2020.590567.
Hamilton, H. K., Roach, B. J., Cavus, I., Teyler, T. J., Clapp, W. C., Ford, J. M., Tarakci, E., Krystal, J. H., & Mathalon, D. H. (2020). Impaired Potentiation of Theta Oscillations During a Visual Cortical Plasticity Paradigm in Individuals With Schizophrenia. Frontiers in psychiatry, 11590567. https://doi.org/10.3389/fpsyt.2020.590567
Hamilton, Holly K, et al. "Impaired Potentiation of Theta Oscillations During a Visual Cortical Plasticity Paradigm in Individuals With Schizophrenia." Frontiers in psychiatry vol. 11 (2020): 590567. doi: https://doi.org/10.3389/fpsyt.2020.590567
Hamilton HK, Roach BJ, Cavus I, Teyler TJ, Clapp WC, Ford JM, Tarakci E, Krystal JH, Mathalon DH. Impaired Potentiation of Theta Oscillations During a Visual Cortical Plasticity Paradigm in Individuals With Schizophrenia. Front Psychiatry. 2020 Dec 16;11:590567. doi: 10.3389/fpsyt.2020.590567. eCollection 2020. PMID: 33391054; PMCID: PMC7772351.
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Thalamic dysconnectivity in the psychosis risk syndrome and early illness schizophrenia.

Psychological medicine

Fryer SL, Ferri JM, Roach BJ, Loewy RL, Stuart BK, Anticevic A, Ford JM, Mathalon DH.
PMID: 33719985
Psychol Med. 2021 Mar 15;1-9. doi: 10.1017/S0033291720004882. Epub 2021 Mar 15.

BACKGROUND: Schizophrenia (SZ) is associated with thalamic dysconnectivity. Compared to healthy controls (HCs), individuals with SZ have hyperconnectivity with sensory regions, and hypoconnectivity with cerebellar, thalamic, and prefrontal regions. Despite replication of this pattern in chronically ill individuals, less...

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Fryer SL, Ferri JM, Roach BJ, et al. Thalamic dysconnectivity in the psychosis risk syndrome and early illness schizophrenia. Psychol Med. 2021;1-9doi: 10.1017/S0033291720004882.
Fryer, S. L., Ferri, J. M., Roach, B. J., Loewy, R. L., Stuart, B. K., Anticevic, A., Ford, J. M., & Mathalon, D. H. (2021). Thalamic dysconnectivity in the psychosis risk syndrome and early illness schizophrenia. Psychological medicine, 1-9. https://doi.org/10.1017/S0033291720004882
Fryer, Susanna L, et al. "Thalamic dysconnectivity in the psychosis risk syndrome and early illness schizophrenia." Psychological medicine vol. (2021): 1-9. doi: https://doi.org/10.1017/S0033291720004882
Fryer SL, Ferri JM, Roach BJ, Loewy RL, Stuart BK, Anticevic A, Ford JM, Mathalon DH. Thalamic dysconnectivity in the psychosis risk syndrome and early illness schizophrenia. Psychol Med. 2021 Mar 15;1-9. doi: 10.1017/S0033291720004882. Epub 2021 Mar 15. PMID: 33719985.
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Weighted average of shared trajectory: A new estimator for dynamic functional connectivity efficiently estimates both rapid and slow changes over time.

Journal of neuroscience methods

Faghiri A, Iraji A, Damaraju E, Belger A, Ford J, Mathalon D, Mcewen S, Mueller B, Pearlson G, Preda A, Turner J, Vaidya JG, Van Erp TGM, Calhoun VD.
PMID: 31978489
J Neurosci Methods. 2020 Jan 21;334:108600. doi: 10.1016/j.jneumeth.2020.108600. Epub 2020 Jan 21.

BACKGROUND: Dynamic functional network connectivity (dFNC) of the brain has attracted considerable attention recently. Many approaches have been suggested to study dFNC with sliding window Pearson correlation (SWPC) being the most well-known. SWPC needs a relatively large sample size...

Cite
Faghiri A, Iraji A, Damaraju E, et al. Weighted average of shared trajectory: A new estimator for dynamic functional connectivity efficiently estimates both rapid and slow changes over time. J Neurosci Methods. 2020;334:108600doi: 10.1016/j.jneumeth.2020.108600.
Faghiri, A., Iraji, A., Damaraju, E., Belger, A., Ford, J., Mathalon, D., Mcewen, S., Mueller, B., Pearlson, G., Preda, A., Turner, J., Vaidya, J. G., Van Erp, T. G. M., & Calhoun, V. D. (2020). Weighted average of shared trajectory: A new estimator for dynamic functional connectivity efficiently estimates both rapid and slow changes over time. Journal of neuroscience methods, 334108600. https://doi.org/10.1016/j.jneumeth.2020.108600
Faghiri, Ashkan, et al. "Weighted average of shared trajectory: A new estimator for dynamic functional connectivity efficiently estimates both rapid and slow changes over time." Journal of neuroscience methods vol. 334 (2020): 108600. doi: https://doi.org/10.1016/j.jneumeth.2020.108600
Faghiri A, Iraji A, Damaraju E, Belger A, Ford J, Mathalon D, Mcewen S, Mueller B, Pearlson G, Preda A, Turner J, Vaidya JG, Van Erp TGM, Calhoun VD. Weighted average of shared trajectory: A new estimator for dynamic functional connectivity efficiently estimates both rapid and slow changes over time. J Neurosci Methods. 2020 Jan 21;334:108600. doi: 10.1016/j.jneumeth.2020.108600. Epub 2020 Jan 21. PMID: 31978489; PMCID: PMC7371494.
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