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1. Smaller total and subregional cerebellar volumes in posttraumatic stress disorder: a mega-analysis by the ENIGMA-PGC PTSD workgroup

Author

Huggins, Ashley A, Baird, C Lexi, Briggs, Melvin, Laskowitz, Sarah, Hussain, Ahmed, Fouda, Samar, Haswell, Courtney, Sun, Delin, Salminen, Lauren E, Jahanshad, Neda, Thomopoulos, Sophia I, Veltman, Dick J, Frijling, Jessie L, Olff, Miranda, van Zuiden, Mirjam, Koch, Saskia BJ, Nawjin, Laura, Wang, Li, Zhu, Ye, Li, Gen, Stein, Dan J, Ipser, Jonathan, Seedat, Soraya, du Plessis, Stefan, van den Heuvel, Leigh L, Suarez-Jimenez, Benjamin, Zhu, Xi, Kim, Yoojean, He, Xiaofu, Zilcha-Mano, Sigal, Lazarov, Amit, Neria, Yuval, Stevens, Jennifer S, Ressler, Kerry J, Jovanovic, Tanja, van Rooij, Sanne JH, Fani, Negar, Hudson, Anna R, Mueller, Sven C, Sierk, Anika, Manthey, Antje, Walter, Henrik, Daniels, Judith K, Schmahl, Christian, Herzog, Julia I, Říha, Pavel, Rektor, Ivan, Lebois, Lauren AM, Kaufman, Milissa L, Olson, Elizabeth A, Baker, Justin T, Rosso, Isabelle M, King, Anthony P, Liberzon, Isreal, Angstadt, Mike, Davenport, Nicholas D, Sponheim, Scott R, Disner, Seth G, Straube, Thomas, Hofmann, David, Qi, Rongfeng, Lu, Guang Ming, Baugh, Lee A, Forster, Gina L, Simons, Raluca M, Simons, Jeffrey S, Magnotta, Vincent A, Fercho, Kelene A, Maron-Katz, Adi, Etkin, Amit, Cotton, Andrew S, O’Leary, Erin N, Xie, Hong, Wang, Xin, Quidé, Yann, El-Hage, Wissam, Lissek, Shmuel, Berg, Hannah, Bruce, Steven, Cisler, Josh, Ross, Marisa, Herringa, Ryan J, Grupe, Daniel W, Nitschke, Jack B, Davidson, Richard J, Larson, Christine L, deRoon-Cassini, Terri A, Tomas, Carissa W, Fitzgerald, Jacklynn M, Blackford, Jennifer Urbano, Olatunji, Bunmi O, Kremen, William S, Lyons, Michael J, Franz, Carol E, Gordon, Evan M, May, Geoffrey, Nelson, Steven M, Abdallah, Chadi G, Levy, Ifat, and Harpaz-Rotem, Ilan

Subjects
Clinical and Health Psychology, Psychology, Mind and Body, Mental Illness, Anxiety Disorders, Neurosciences, Brain Disorders, Post-Traumatic Stress Disorder (PTSD), Behavioral and Social Science, Mental Health, Mental health, Humans, Stress Disorders, Post-Traumatic, Cerebellum, Female, Male, Adult, Magnetic Resonance Imaging, Middle Aged, White Matter, Gray Matter, Organ Size, Deep Learning, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Although the cerebellum contributes to higher-order cognitive and emotional functions relevant to posttraumatic stress disorder (PTSD), prior research on cerebellar volume in PTSD is scant, particularly when considering subregions that differentially map on to motor, cognitive, and affective functions. In a sample of 4215 adults (PTSD n = 1642; Control n = 2573) across 40 sites from the ENIGMA-PGC PTSD working group, we employed a new state-of-the-art deep-learning based approach for automatic cerebellar parcellation to obtain volumetric estimates for the total cerebellum and 28 subregions. Linear mixed effects models controlling for age, gender, intracranial volume, and site were used to compare cerebellum volumes in PTSD compared to healthy controls (88% trauma-exposed). PTSD was associated with significant grey and white matter reductions of the cerebellum. Compared to controls, people with PTSD demonstrated smaller total cerebellum volume, as well as reduced volume in subregions primarily within the posterior lobe (lobule VIIB, crus II), vermis (VI, VIII), flocculonodular lobe (lobule X), and corpus medullare (all p-FDR

Published
2024

2. Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium.

Author

Zhu, Xi, Kim, Yoojean, Ravid, Orren, He, Xiaofu, Suarez-Jimenez, Benjamin, Zilcha-Mano, Sigal, Lazarov, Amit, Lee, Seonjoo, Abdallah, Chadi, Angstadt, Michael, Averill, Christopher, Baird, C, Baugh, Lee, Blackford, Jennifer, Bomyea, Jessica, Bruce, Steven, Bryant, Richard, Cao, Zhihong, Choi, Kyle, Cisler, Josh, Cotton, Andrew, Daniels, Judith, Davenport, Nicholas, Davidson, Richard, DeBellis, Michael, Dennis, Emily, Densmore, Maria, deRoon-Cassini, Terri, Disner, Seth, Hage, Wissam, Etkin, Amit, Fani, Negar, Fercho, Kelene, Fitzgerald, Jacklynn, Forster, Gina, Frijling, Jessie, Geuze, Elbert, Gonenc, Atilla, Gordon, Evan, Gruber, Staci, Grupe, Daniel, Guenette, Jeffrey, Haswell, Courtney, Herringa, Ryan, Herzog, Julia, Hofmann, David, Hosseini, Bobak, Hudson, Anna, Huggins, Ashley, Ipser, Jonathan, Jahanshad, Neda, Jia-Richards, Meilin, Jovanovic, Tanja, Kaufman, Milissa, Kennis, Mitzy, King, Anthony, Kinzel, Philipp, Koch, Saskia, Koerte, Inga, Koopowitz, Sheri, Korgaonkar, Mayuresh, Krystal, John, Lanius, Ruth, Larson, Christine, Lebois, Lauren, Li, Gen, Liberzon, Israel, Lu, Guang, Luo, Yifeng, Magnotta, Vincent, Manthey, Antje, Maron-Katz, Adi, May, Geoffery, McLaughlin, Katie, Mueller, Sven, Nawijn, Laura, Nelson, Steven, Neufeld, Richard, Nitschke, Jack, OLeary, Erin, Olatunji, Bunmi, Olff, Miranda, Peverill, Matthew, Phan, K, Qi, Rongfeng, Quidé, Yann, Rektor, Ivan, Ressler, Kerry, Riha, Pavel, Ross, Marisa, Rosso, Isabelle, Salminen, Lauren, Sambrook, Kelly, Schmahl, Christian, Shenton, Martha, Sheridan, Margaret, Shih, Chiahao, Sicorello, Maurizio, Sierk, Anika, and van Rooij, Sanne

Subjects
Classification, Deep learning, Machine learning, Multimodal MRI, Posttraumatic stress disorder, Humans, Stress Disorders, Post-Traumatic, Reproducibility of Results, Big Data, Neuroimaging, Magnetic Resonance Imaging, Brain
Abstract

BACKGROUND: Recent advances in data-driven computational approaches have been helpful in devising tools to objectively diagnose psychiatric disorders. However, current machine learning studies limited to small homogeneous samples, different methodologies, and different imaging collection protocols, limit the ability to directly compare and generalize their results. Here we aimed to classify individuals with PTSD versus controls and assess the generalizability using a large heterogeneous brain datasets from the ENIGMA-PGC PTSD Working group. METHODS: We analyzed brain MRI data from 3,477 structural-MRI; 2,495 resting state-fMRI; and 1,952 diffusion-MRI. First, we identified the brain features that best distinguish individuals with PTSD from controls using traditional machine learning methods. Second, we assessed the utility of the denoising variational autoencoder (DVAE) and evaluated its classification performance. Third, we assessed the generalizability and reproducibility of both models using leave-one-site-out cross-validation procedure for each modality. RESULTS: We found lower performance in classifying PTSD vs. controls with data from over 20 sites (60 % test AUC for s-MRI, 59 % for rs-fMRI and 56 % for d-MRI), as compared to other studies run on single-site data. The performance increased when classifying PTSD from HC without trauma history in each modality (75 % AUC). The classification performance remained intact when applying the DVAE framework, which reduced the number of features. Finally, we found that the DVAE framework achieved better generalization to unseen datasets compared with the traditional machine learning frameworks, albeit performance was slightly above chance. CONCLUSION: These results have the potential to provide a baseline classification performance for PTSD when using large scale neuroimaging datasets. Our findings show that the control group used can heavily affect classification performance. The DVAE framework provided better generalizability for the multi-site data. This may be more significant in clinical practice since the neuroimaging-based diagnostic DVAE classification models are much less site-specific, rendering them more generalizable.

Published
2023

4. Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods

Author

Yang, Jin, Huggins, Ashley A., Sun, Delin, Baird, C. Lexi, Haswell, Courtney C., Frijling, Jessie L., Olff, Miranda, van Zuiden, Mirjam, Koch, Saskia B. J., Nawijn, Laura, Veltman, Dick J., Suarez-Jimenez, Benjamin, Zhu, Xi, Neria, Yuval, Hudson, Anna R., Mueller, Sven C., Baker, Justin T., Lebois, Lauren A. M., Kaufman, Milissa L., Qi, Rongfeng, Lu, Guang Ming, Říha, Pavel, Rektor, Ivan, Dennis, Emily L., Ching, Christopher R. K., Thomopoulos, Sophia I., Salminen, Lauren E., Jahanshad, Neda, Thompson, Paul M., Stein, Dan J., Koopowitz, Sheri M., Ipser, Jonathan C., Seedat, Soraya, du Plessis, Stefan, van den Heuvel, Leigh L., Wang, Li, Zhu, Ye, Li, Gen, Sierk, Anika, Manthey, Antje, Walter, Henrik, Daniels, Judith K., Schmahl, Christian, Herzog, Julia I., Liberzon, Israel, King, Anthony, Angstadt, Mike, Davenport, Nicholas D., Sponheim, Scott R., Disner, Seth G., Straube, Thomas, Hofmann, David, Grupe, Daniel W., Nitschke, Jack B., Davidson, Richard J., Larson, Christine L., deRoon-Cassini, Terri A., Blackford, Jennifer U., Olatunji, Bunmi O., Gordon, Evan M., May, Geoffrey, Nelson, Steven M., Abdallah, Chadi G., Levy, Ifat, Harpaz-Rotem, Ilan, Krystal, John H., Morey, Rajendra A., and Sotiras, Aristeidis

Published
2024
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5. A comparison of methods to harmonize cortical thickness measurements across scanners and sites

Author

Sun, Delin, Rakesh, Gopalkumar, Haswell, Courtney C, Logue, Mark, Baird, C Lexi, O'Leary, Erin N, Cotton, Andrew S, Xie, Hong, Tamburrino, Marijo, Chen, Tian, Dennis, Emily L, Jahanshad, Neda, Salminen, Lauren E, Thomopoulos, Sophia I, Rashid, Faisal, Ching, Christopher RK, Koch, Saskia BJ, Frijling, Jessie L, Nawijn, Laura, van Zuiden, Mirjam, Zhu, Xi, Suarez-Jimenez, Benjamin, Sierk, Anika, Walter, Henrik, Manthey, Antje, Stevens, Jennifer S, Fani, Negar, van Rooij, Sanne JH, Stein, Murray, Bomyea, Jessica, Koerte, Inga K, Choi, Kyle, van der Werff, Steven JA, Vermeiren, Robert RJM, Herzog, Julia, Lebois, Lauren AM, Baker, Justin T, Olson, Elizabeth A, Straube, Thomas, Korgaonkar, Mayuresh S, Andrew, Elpiniki, Zhu, Ye, Li, Gen, Ipser, Jonathan, Hudson, Anna R, Peverill, Matthew, Sambrook, Kelly, Gordon, Evan, Baugh, Lee, Forster, Gina, Simons, Raluca M, Simons, Jeffrey S, Magnotta, Vincent, Maron-Katz, Adi, du Plessis, Stefan, Disner, Seth G, Davenport, Nicholas, Grupe, Daniel W, Nitschke, Jack B, deRoon-Cassini, Terri A, Fitzgerald, Jacklynn M, Krystal, John H, Levy, Ifat, Olff, Miranda, Veltman, Dick J, Wang, Li, Neria, Yuval, De Bellis, Michael D, Jovanovic, Tanja, Daniels, Judith K, Shenton, Martha, van de Wee, Nic JA, Schmahl, Christian, Kaufman, Milissa L, Rosso, Isabelle M, Sponheim, Scott R, Hofmann, David Bernd, Bryant, Richard A, Fercho, Kelene A, Stein, Dan J, Mueller, Sven C, Hosseini, Bobak, Phan, K Luan, McLaughlin, Katie A, Davidson, Richard J, Larson, Christine L, May, Geoffrey, Nelson, Steven M, Abdallah, Chadi G, Gomaa, Hassaan, Etkin, Amit, Seedat, Soraya, Harpaz-Rotem, Ilan, Liberzon, Israel, van Erp, Theo GM, Quidé, Yann, Wang, Xin, Thompson, Paul M, and Morey, Rajendra A

Subjects
Good Health and Well Being, Adolescent, Adult, Aged, Aged, 80 and over, Case-Control Studies, Child, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neuroimaging, Stress Disorders, Post-Traumatic, Young Adult, Data Harmonization, Scanner Effects, Site Effects, Cortical Thickness, ComBat, ComBat-GAM, Linear Mixed-Effects Model, General Additive Model, PTSD, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
Abstract

Results of neuroimaging datasets aggregated from multiple sites may be biased by site-specific profiles in participants' demographic and clinical characteristics, as well as MRI acquisition protocols and scanning platforms. We compared the impact of four different harmonization methods on results obtained from analyses of cortical thickness data: (1) linear mixed-effects model (LME) that models site-specific random intercepts (LMEINT), (2) LME that models both site-specific random intercepts and age-related random slopes (LMEINT+SLP), (3) ComBat, and (4) ComBat with a generalized additive model (ComBat-GAM). Our test case for comparing harmonization methods was cortical thickness data aggregated from 29 sites, which included 1,340 cases with posttraumatic stress disorder (PTSD) (6.2-81.8 years old) and 2,057 trauma-exposed controls without PTSD (6.3-85.2 years old). We found that, compared to the other data harmonization methods, data processed with ComBat-GAM was more sensitive to the detection of significant case-control differences (Χ2(3) = 63.704, p < 0.001) as well as case-control differences in age-related cortical thinning (Χ2(3) = 12.082, p = 0.007). Both ComBat and ComBat-GAM outperformed LME methods in detecting sex differences (Χ2(3) = 9.114, p = 0.028) in regional cortical thickness. ComBat-GAM also led to stronger estimates of age-related declines in cortical thickness (corrected p-values < 0.001), stronger estimates of case-related cortical thickness reduction (corrected p-values < 0.001), weaker estimates of age-related declines in cortical thickness in cases than controls (corrected p-values < 0.001), stronger estimates of cortical thickness reduction in females than males (corrected p-values < 0.001), and stronger estimates of cortical thickness reduction in females relative to males in cases than controls (corrected p-values < 0.001). Our results support the use of ComBat-GAM to minimize confounds and increase statistical power when harmonizing data with non-linear effects, and the use of either ComBat or ComBat-GAM for harmonizing data with linear effects.

Published
2022

6. Cortical volume abnormalities in posttraumatic stress disorder: an ENIGMA-psychiatric genomics consortium PTSD workgroup mega-analysis

Author

Wang, Xin, Xie, Hong, Chen, Tian, Cotton, Andrew S, Salminen, Lauren E, Logue, Mark W, Clarke-Rubright, Emily K, Wall, John, Dennis, Emily L, O’Leary, Brian M, Abdallah, Chadi G, Andrew, Elpiniki, Baugh, Lee A, Bomyea, Jessica, Bruce, Steven E, Bryant, Richard, Choi, Kyle, Daniels, Judith K, Davenport, Nicholas D, Davidson, Richard J, DeBellis, Michael, deRoon-Cassini, Terri, Disner, Seth G, Fani, Negar, Fercho, Kelene A, Fitzgerald, Jacklynn, Forster, Gina L, Frijling, Jessie L, Geuze, Elbert, Gomaa, Hassaan, Gordon, Evan M, Grupe, Dan, Harpaz-Rotem, Ilan, Haswell, Courtney C, Herzog, Julia I, Hofmann, David, Hollifield, Michael, Hosseini, Bobak, Hudson, Anna R, Ipser, Jonathan, Jahanshad, Neda, Jovanovic, Tanja, Kaufman, Milissa L, King, Anthony P, Koch, Saskia BJ, Koerte, Inga K, Korgaonkar, Mayuresh S, Krystal, John H, Larson, Christine, Lebois, Lauren AM, Levy, Ifat, Li, Gen, Magnotta, Vincent A, Manthey, Antje, May, Geoffrey, McLaughlin, Katie A, Mueller, Sven C, Nawijn, Laura, Nelson, Steven M, Neria, Yuval, Nitschke, Jack B, Olff, Miranda, Olson, Elizabeth A, Peverill, Matthew, Phan, K Luan, Rashid, Faisal M, Ressler, Kerry, Rosso, Isabelle M, Sambrook, Kelly, Schmahl, Christian, Shenton, Martha E, Sierk, Anika, Simons, Jeffrey S, Simons, Raluca M, Sponheim, Scott R, Stein, Murray B, Stein, Dan J, Stevens, Jennifer S, Straube, Thomas, Suarez-Jimenez, Benjamin, Tamburrino, Marijo, Thomopoulos, Sophia I, van der Wee, Nic JA, van der Werff, Steven JA, van Erp, Theo GM, van Rooij, Sanne JH, van Zuiden, Mirjam, Varkevisser, Tim, Veltman, Dick J, Vermeiren, Robert RJM, Walter, Henrik, Wang, Li, Zhu, Ye, Zhu, Xi, Thompson, Paul M, Morey, Rajendra A, and Liberzon, Israel

Subjects
Clinical Research, Behavioral and Social Science, Mental Health, Post-Traumatic Stress Disorder (PTSD), Neurosciences, Brain Disorders, Mental health, Cerebral Cortex, Genomics, Humans, Magnetic Resonance Imaging, Stress Disorders, Post-Traumatic, Temporal Lobe, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

Studies of posttraumatic stress disorder (PTSD) report volume abnormalities in multiple regions of the cerebral cortex. However, findings for many regions, particularly regions outside commonly studied emotion-related prefrontal, insular, and limbic regions, are inconsistent and tentative. Also, few studies address the possibility that PTSD abnormalities may be confounded by comorbid depression. A mega-analysis investigating all cortical regions in a large sample of PTSD and control subjects can potentially provide new insight into these issues. Given this perspective, our group aggregated regional volumes data of 68 cortical regions across both hemispheres from 1379 PTSD patients to 2192 controls without PTSD after data were processed by 32 international laboratories using ENIGMA standardized procedures. We examined whether regional cortical volumes were different in PTSD vs. controls, were associated with posttraumatic stress symptom (PTSS) severity, or were affected by comorbid depression. Volumes of left and right lateral orbitofrontal gyri (LOFG), left superior temporal gyrus, and right insular, lingual and superior parietal gyri were significantly smaller, on average, in PTSD patients than controls (standardized coefficients = -0.111 to -0.068, FDR corrected P values

Published
2021

9. Emergence of a High-Plasticity Cell State during Lung Cancer Evolution

Author

Marjanovic, Nemanja Despot, Hofree, Matan, Chan, Jason E., Canner, David, Wu, Katherine, Trakala, Marianna, Hartmann, Griffin G., Smith, Olivia C., Kim, Jonathan Y., Evans, Kelly Victoria, Hudson, Anna, Ashenberg, Orr, Porter, Caroline B.M., Bejnood, Alborz, Subramanian, Ayshwarya, Pitter, Kenneth, Yan, Yan, Delorey, Toni, Phillips, Devan R., Shah, Nisargbhai, Chaudhary, Ojasvi, Tsankov, Alexander, Hollmann, Travis, Rekhtman, Natasha, Massion, Pierre P., Poirier, John T., Mazutis, Linas, Li, Ruifang, Lee, Joo-Hyeon, Amon, Angelika, Rudin, Charles M., Jacks, Tyler, Regev, Aviv, and Tammela, Tuomas

Published
2020
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10. Antiretroviral Drug Repositioning for Glioblastoma

Author

Rivas, Sarah R., primary, Mendez Valdez, Mynor J., additional, Chandar, Jay S., additional, Desgraves, Jelisah F., additional, Lu, Victor M., additional, Ampie, Leo, additional, Singh, Eric B., additional, Seetharam, Deepa, additional, Ramsoomair, Christian K., additional, Hudson, Anna, additional, Ingle, Shreya M., additional, Govindarajan, Vaidya, additional, Doucet-O’Hare, Tara T., additional, DeMarino, Catherine, additional, Heiss, John D., additional, Nath, Avindra, additional, and Shah, Ashish H., additional

Published
2024
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11. Smaller total and subregional cerebellar volumes in posttraumatic stress disorder:a mega-analysis by the ENIGMA-PGC PTSD workgroup

Author

Huggins, Ashley A., Baird, C. Lexi, Briggs, Melvin, Laskowitz, Sarah, Hussain, Ahmed, Fouda, Samar, Haswell, Courtney, Sun, Delin, Salminen, Lauren E., Jahanshad, Neda, Thomopoulos, Sophia I., Veltman, Dick J., Frijling, Jessie L., Olff, Miranda, van Zuiden, Mirjam, Koch, Saskia B.J., Nawjin, Laura, Wang, Li, Zhu, Ye, Li, Gen, Stein, Dan J., Ipser, Jonathan, Seedat, Soraya, du Plessis, Stefan, van den Heuvel, Leigh L., Suarez-Jimenez, Benjamin, Zhu, Xi, Kim, Yoojean, He, Xiaofu, Zilcha-Mano, Sigal, Lazarov, Amit, Neria, Yuval, Stevens, Jennifer S., Ressler, Kerry J., Jovanovic, Tanja, van Rooij, Sanne J.H., Fani, Negar, Hudson, Anna R., Mueller, Sven C., Sierk, Anika, Manthey, Antje, Walter, Henrik, Daniels, Judith K., Schmahl, Christian, Herzog, Julia I., Říha, Pavel, Rektor, Ivan, Lebois, Lauren A.M., Kaufman, Milissa L., Olson, Elizabeth A., Baker, Justin T., Rosso, Isabelle M., King, Anthony P., Liberzon, Isreal, Angstadt, Mike, Davenport, Nicholas D., Sponheim, Scott R., Disner, Seth G., Straube, Thomas, Hofmann, David, Qi, Rongfeng, Lu, Guang Ming, Baugh, Lee A., Forster, Gina L., Simons, Raluca M., Simons, Jeffrey S., Magnotta, Vincent A., Fercho, Kelene A., Maron-Katz, Adi, Etkin, Amit, Cotton, Andrew S., O’Leary, Erin N., Xie, Hong, Wang, Xin, Quidé, Yann, El-Hage, Wissam, Lissek, Shmuel, Berg, Hannah, Bruce, Steven, Cisler, Josh, Ross, Marisa, Herringa, Ryan J., Grupe, Daniel W., Nitschke, Jack B., Davidson, Richard J., Larson, Christine L., deRoon-Cassini, Terri A., Tomas, Carissa W., Fitzgerald, Jacklynn M., Blackford, Jennifer Urbano, Olatunji, Bunmi O., Kremen, William S., Lyons, Michael J., Franz, Carol E., Gordon, Evan M., May, Geoffrey, Nelson, Steven M., Abdallah, Chadi G., Levy, Ifat, Harpaz-Rotem, Ilan, Krystal, John H., Dennis, Emily L., Tate, David F., Cifu, David X., Walker, William C., Wilde, Elizabeth A., Harding, Ian H., Kerestes, Rebecca, Thompson, Paul M., Morey, Rajendra, Huggins, Ashley A., Baird, C. Lexi, Briggs, Melvin, Laskowitz, Sarah, Hussain, Ahmed, Fouda, Samar, Haswell, Courtney, Sun, Delin, Salminen, Lauren E., Jahanshad, Neda, Thomopoulos, Sophia I., Veltman, Dick J., Frijling, Jessie L., Olff, Miranda, van Zuiden, Mirjam, Koch, Saskia B.J., Nawjin, Laura, Wang, Li, Zhu, Ye, Li, Gen, Stein, Dan J., Ipser, Jonathan, Seedat, Soraya, du Plessis, Stefan, van den Heuvel, Leigh L., Suarez-Jimenez, Benjamin, Zhu, Xi, Kim, Yoojean, He, Xiaofu, Zilcha-Mano, Sigal, Lazarov, Amit, Neria, Yuval, Stevens, Jennifer S., Ressler, Kerry J., Jovanovic, Tanja, van Rooij, Sanne J.H., Fani, Negar, Hudson, Anna R., Mueller, Sven C., Sierk, Anika, Manthey, Antje, Walter, Henrik, Daniels, Judith K., Schmahl, Christian, Herzog, Julia I., Říha, Pavel, Rektor, Ivan, Lebois, Lauren A.M., Kaufman, Milissa L., Olson, Elizabeth A., Baker, Justin T., Rosso, Isabelle M., King, Anthony P., Liberzon, Isreal, Angstadt, Mike, Davenport, Nicholas D., Sponheim, Scott R., Disner, Seth G., Straube, Thomas, Hofmann, David, Qi, Rongfeng, Lu, Guang Ming, Baugh, Lee A., Forster, Gina L., Simons, Raluca M., Simons, Jeffrey S., Magnotta, Vincent A., Fercho, Kelene A., Maron-Katz, Adi, Etkin, Amit, Cotton, Andrew S., O’Leary, Erin N., Xie, Hong, Wang, Xin, Quidé, Yann, El-Hage, Wissam, Lissek, Shmuel, Berg, Hannah, Bruce, Steven, Cisler, Josh, Ross, Marisa, Herringa, Ryan J., Grupe, Daniel W., Nitschke, Jack B., Davidson, Richard J., Larson, Christine L., deRoon-Cassini, Terri A., Tomas, Carissa W., Fitzgerald, Jacklynn M., Blackford, Jennifer Urbano, Olatunji, Bunmi O., Kremen, William S., Lyons, Michael J., Franz, Carol E., Gordon, Evan M., May, Geoffrey, Nelson, Steven M., Abdallah, Chadi G., Levy, Ifat, Harpaz-Rotem, Ilan, Krystal, John H., Dennis, Emily L., Tate, David F., Cifu, David X., Walker, William C., Wilde, Elizabeth A., Harding, Ian H., Kerestes, Rebecca, Thompson, Paul M., and Morey, Rajendra

Abstract

Although the cerebellum contributes to higher-order cognitive and emotional functions relevant to posttraumatic stress disorder (PTSD), prior research on cerebellar volume in PTSD is scant, particularly when considering subregions that differentially map on to motor, cognitive, and affective functions. In a sample of 4215 adults (PTSD n = 1642; Control n = 2573) across 40 sites from the ENIGMA-PGC PTSD working group, we employed a new state-of-the-art deep-learning based approach for automatic cerebellar parcellation to obtain volumetric estimates for the total cerebellum and 28 subregions. Linear mixed effects models controlling for age, gender, intracranial volume, and site were used to compare cerebellum volumes in PTSD compared to healthy controls (88% trauma-exposed). PTSD was associated with significant grey and white matter reductions of the cerebellum. Compared to controls, people with PTSD demonstrated smaller total cerebellum volume, as well as reduced volume in subregions primarily within the posterior lobe (lobule VIIB, crus II), vermis (VI, VIII), flocculonodular lobe (lobule X), and corpus medullare (all p -FDR < 0.05). Effects of PTSD on volume were consistent, and generally more robust, when examining symptom severity rather than diagnostic status. These findings implicate regionally specific cerebellar volumetric differences in the pathophysiology of PTSD. The cerebellum appears to play an important role in higher-order cognitive and emotional processes, far beyond its historical association with vestibulomotor function. Further examination of the cerebellum in trauma-related psychopathology will help to clarify how cerebellar structure and function may disrupt cognitive and affective processes at the center of translational models for PTSD.

Published
2024

13. Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods

Author

Yang, Jin, primary, Huggins, Ashley A., additional, Sun, Delin, additional, Baird, C. Lexi, additional, Haswell, Courtney C., additional, Frijling, Jessie L., additional, Olff, Miranda, additional, van Zuiden, Mirjam, additional, Koch, Saskia B. J., additional, Nawijn, Laura, additional, Veltman, Dick J., additional, Suarez-Jimenez, Benjamin, additional, Zhu, Xi, additional, Neria, Yuval, additional, Hudson, Anna R., additional, Mueller, Sven C., additional, Baker, Justin T., additional, Lebois, Lauren A. M., additional, Kaufman, Milissa L., additional, Qi, Rongfeng, additional, Lu, Guang Ming, additional, Říha, Pavel, additional, Rektor, Ivan, additional, Dennis, Emily L., additional, Ching, Christopher R. K., additional, Thomopoulos, Sophia I., additional, Salminen, Lauren E., additional, Jahanshad, Neda, additional, Thompson, Paul M., additional, Stein, Dan J., additional, Koopowitz, Sheri M., additional, Ipser, Jonathan C., additional, Seedat, Soraya, additional, du Plessis, Stefan, additional, van den Heuvel, Leigh L., additional, Wang, Li, additional, Zhu, Ye, additional, Li, Gen, additional, Sierk, Anika, additional, Manthey, Antje, additional, Walter, Henrik, additional, Daniels, Judith K., additional, Schmahl, Christian, additional, Herzog, Julia I., additional, Liberzon, Israel, additional, King, Anthony, additional, Angstadt, Mike, additional, Davenport, Nicholas D., additional, Sponheim, Scott R., additional, Disner, Seth G., additional, Straube, Thomas, additional, Hofmann, David, additional, Grupe, Daniel W., additional, Nitschke, Jack B., additional, Davidson, Richard J., additional, Larson, Christine L., additional, deRoon-Cassini, Terri A., additional, Blackford, Jennifer U., additional, Olatunji, Bunmi O., additional, Gordon, Evan M., additional, May, Geoffrey, additional, Nelson, Steven M., additional, Abdallah, Chadi G., additional, Levy, Ifat, additional, Harpaz-Rotem, Ilan, additional, Krystal, John H., additional, Morey, Rajendra A., additional, and Sotiras, Aristeidis, additional

Published
2023
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14. Neuroimaging-Based Classification of PTSD Using Data-Driven Computational Approaches: A Multisite Big Data Study from the ENIGMA-PGC PTSD Consortium

Author

Zhu, Xi, primary, Kim, Yoojean, additional, Ravid, Orren, additional, He, Xiaofu, additional, Suarez-Jimenez, Benjamin, additional, Zilcha-Mano, Sigal, additional, Lazarov, Amit, additional, Lee, Seonjoo, additional, Abdallah, Chadi G., additional, Angstadt, Michael, additional, Averill, Christopher L., additional, Baird, C. Lexi, additional, Baugh, Lee A., additional, Blackford, Jennifer U., additional, Bomyea, Jessica, additional, Bruce, Steven E., additional, Bryant, Richard A., additional, Cao, Zhihong, additional, Choi, Kyle, additional, Cisler, Josh, additional, Cotton, Andrew S., additional, Daniels, Judith K., additional, Davenport, Nicholas D., additional, Davidson, Richard J., additional, DeBellis, Michael D., additional, Dennis, Emily L., additional, Densmore, Maria, additional, deRoon-Cassini, Terri, additional, Disner, Seth G., additional, Hage, Wissam El, additional, Etkin, Amit, additional, Fani, Negar, additional, Fercho, Kelene A., additional, Fitzgerald, Jacklynn, additional, Forster, Gina L., additional, Frijling, Jessie L., additional, Geuze, Elbert, additional, Gonenc, Atilla, additional, Gordon, Evan M., additional, Gruber, Staci, additional, Grupe, Daniel W, additional, Guenette, Jeffrey P., additional, Haswell, Courtney C., additional, Herringa, Ryan J., additional, Herzog, Julia, additional, Hofmann, David Bernd, additional, Hosseini, Bobak, additional, Hudson, Anna R., additional, Huggins, Ashley A., additional, Ipser, Jonathan C., additional, Jahanshad, Neda, additional, Jia-Richards, Meilin, additional, Jovanovic, Tanja, additional, Kaufman, Milissa L., additional, Kennis, Mitzy, additional, King, Anthony, additional, Kinzel, Philipp, additional, Koch, Saskia B.J., additional, Koerte, Inga K., additional, Koopowitz, Sheri M., additional, Korgaonkar, Mayuresh S., additional, Krystal, John H., additional, Lanius, Ruth, additional, Larson, Christine L., additional, Lebois, Lauren A.M., additional, Li, Gen, additional, Liberzon, Israel, additional, Lu, Guang Ming, additional, Luo, Yifeng, additional, Magnotta, Vincent A., additional, Manthey, Antje, additional, Maron-Katz, Adi, additional, May, Geoffery, additional, McLaughlin, Katie, additional, Mueller, Sven C., additional, Nawijn, Laura, additional, Nelson, Steven M., additional, Neufeld, Richard W.J., additional, Nitschke, Jack B, additional, O'Leary, Erin M., additional, Olatunji, Bunmi O., additional, Olff, Miranda, additional, Peverill, Matthew, additional, Phan, K. Luan, additional, Qi, Rongfeng, additional, Quidé, Yann, additional, Rektor, Ivan, additional, Ressler, Kerry, additional, Riha, Pavel, additional, Ross, Marisa, additional, Rosso, Isabelle M., additional, Salminen, Lauren E., additional, Sambrook, Kelly, additional, Schmahl, Christian, additional, Shenton, Martha E., additional, Sheridan, Margaret, additional, Shih, Chiahao, additional, Sicorello, Maurizio, additional, Sierk, Anika, additional, Simmons, Alan N., additional, Simons, Raluca M., additional, Simons, Jeffrey S., additional, Sponheim, Scott R., additional, Stein, Murray B., additional, Stein, Dan J., additional, Stevens, Jennifer S., additional, Straube, Thomas, additional, Sun, Delin, additional, Théberge, Jean, additional, Thompson, Paul M., additional, Thomopoulos, Sophia I., additional, van der Wee, Nic J.A., additional, van der Werff, Steven J.A., additional, van Erp, Theo G.M., additional, van Rooij, Sanne J.H., additional, van Zuiden, Mirjam, additional, Varkevisser, Tim, additional, Veltman, Dick J., additional, Vermeiren, Robert R.J.M., additional, Walter, Henrik, additional, Wang, Li, additional, Wang, Xin, additional, Weis, Carissa, additional, Winternitz, Sherry, additional, Xie, Hong, additional, Zhu, Ye, additional, Wall, Melanie, additional, Neria, Yuval, additional, and Morey, Rajendra A., additional

Published
2023
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18. Thinking versus feeling: How interoception and cognition influence emotion recognition in behavioural-variant frontotemporal dementia, Alzheimers disease, and Parkinsons disease

Author

Hazelton, Jessica L., Fittipaldi, Sol, Fraile-Vazquez, Matias, Sourty, Marion, Legaz, Agustina, Hudson, Anna L., Cordero, Indira Garcia, Salamone, Paula, Yoris, Adrian, Ibanez, Agustin, Piguet, Olivier, Kumfor, Fiona, Hazelton, Jessica L., Fittipaldi, Sol, Fraile-Vazquez, Matias, Sourty, Marion, Legaz, Agustina, Hudson, Anna L., Cordero, Indira Garcia, Salamone, Paula, Yoris, Adrian, Ibanez, Agustin, Piguet, Olivier, and Kumfor, Fiona

Abstract

Disease-specific mechanisms underlying emotion recognition difficulties in behavioural -variant frontotemporal dementia (bvFTD), Alzheimers disease (AD), and Parkinsons dis-ease (PD) are unknown. Interoceptive accuracy, accurately detecting internal cues (e.g., ones heart beating), and cognitive abilities are candidate mechanisms underlying emotion recognition.One hundred and sixty-eight participants (52 bvFTD; 41 AD; 24 PD; 51 controls) were recruited. Emotion recognition was measured via the Facial Affect Selection Task or the Mini-Social and Emotional Assessment Emotion Recognition Task. Interoception was assessed with a heartbeat detection task. Participants pressed a button each time they: 1) felt their heartbeat (Interoception); or 2) heard a recorded heartbeat (Exteroception-con-trol). Cognition was measured via the Addenbrookes Cognitive Examination-III or the Montreal Cognitive Assessment. Voxel-based morphometry analyses identified neural correlates associated with emotion recognition and interoceptive accuracy. All patient groups showed worse emotion recognition and cognition than controls (all Ps < .008). Only the bvFTD showed worse interoceptive accuracy than controls (P < .001). Regression analyses revealed that in bvFTD worse interoceptive accuracy predicted worse emotion recognition (P = .008). Whereas worse cognition predicted worse emotion recogni-tion overall (P < .001). Neuroimaging analyses revealed that the insula, orbitofrontal cortex, and amygdala were involved in emotion recognition and interoceptive accuracy in bvFTD. Here, we provide evidence for disease-specific mechanisms for emotion recognition difficulties. In bvFTD, emotion recognition impairment is driven by inaccurate perception of the internal milieu. Whereas, in AD and PD, cognitive impairment likely underlies emotion recognition deficits. The current study furthers our theoretical understanding of emotion and highlights the need for targeted interventions. (c, Funding Agencies|ForeFront; National Health and Medical Research Council (NHMRC) [GNT1037746]; Australian Research Council grant [DP170101815]; Takeda [CW2680521]; CONICET; FONCYT-PICT [2017-1818, 2017-1820]; ANID/FONDECYT [1,210,195, 1,210,176, 1,220,995]; ANID/FONDAP [15,150,012]; ANID/PIA/ANILLOS [ACT210096]; Multi-Partner Consortium to Expand Dementia Research in Latin America (ReDLat) - National Institutes of Aging of the National Institutes of Health [R01AG057234]; Alzheimers Association grant [SG-20-725707-ReDLat]; Rainwater Foundation; Global Brain Health Institute; NHMRC Senior Research Fellowship [GNT1103258]; NHMRC Career Development Fellowship [GNT1158762]

Published
2023
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19. Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium

Author

MGGZ, Brain, Zhu, Xi, Kim, Yoojean, Ravid, Orren, He, Xiaofu, Suarez-Jimenez, Benjamin, Zilcha-Mano, Sigal, Lazarov, Amit, Lee, Seonjoo, Abdallah, Chadi G., Angstadt, Michael, Averill, Christopher L., Baird, C. Lexi, Baugh, Lee A., Blackford, Jennifer U., Bomyea, Jessica, Bruce, Steven E., Bryant, Richard A., Cao, Zhihong, Choi, Kyle, Cisler, Josh, Cotton, Andrew S., Daniels, Judith K., Davenport, Nicholas D., Davidson, Richard J., DeBellis, Michael D., Dennis, Emily L., Densmore, Maria, deRoon-Cassini, Terri, Disner, Seth G., Hage, Wissam El, Etkin, Amit, Fani, Negar, Fercho, Kelene A., Fitzgerald, Jacklynn, Forster, Gina L., Frijling, Jessie L., Geuze, Elbert, Gonenc, Atilla, Gordon, Evan M., Gruber, Staci, Grupe, Daniel W., Guenette, Jeffrey P., Haswell, Courtney C., Herringa, Ryan J., Herzog, Julia, Hofmann, David Bernd, Hosseini, Bobak, Hudson, Anna R., Huggins, Ashley A., Ipser, Jonathan C., Jahanshad, Neda, Jia-Richards, Meilin, Jovanovic, Tanja, Kaufman, Milissa L., Kennis, Mitzy, King, Anthony, Kinzel, Philipp, Koch, Saskia B.J., Koerte, Inga K., Koopowitz, Sheri M., Korgaonkar, Mayuresh S., Krystal, John H., Lanius, Ruth, Larson, Christine L., Lebois, Lauren A.M., Li, Gen, Liberzon, Israel, Lu, Guang Ming, Luo, Yifeng, Magnotta, Vincent A., Manthey, Antje, Maron-Katz, Adi, May, Geoffery, McLaughlin, Katie, Mueller, Sven C., Nawijn, Laura, Nelson, Steven M., Neufeld, Richard W.J., Nitschke, Jack B., O'Leary, Erin M., Olatunji, Bunmi O., Olff, Miranda, Peverill, Matthew, Phan, K. Luan, Qi, Rongfeng, Quidé, Yann, Rektor, Ivan, Ressler, Kerry, Riha, Pavel, Ross, Marisa, Rosso, Isabelle M., Salminen, Lauren E., Sambrook, Kelly, Schmahl, Christian, Shenton, Martha E., Sheridan, Margaret, Shih, Chiahao, Sicorello, Maurizio, Sierk, Anika, Simmons, Alan N., Simons, Raluca M., Simons, Jeffrey S., Sponheim, Scott R., Stein, Murray B., Stein, Dan J., Stevens, Jennifer S., Straube, Thomas, Sun, Delin, Théberge, Jean, Thompson, Paul M., Thomopoulos, Sophia I., van der Wee, Nic J.A., van der Werff, Steven J.A., van Erp, Theo G.M., van Rooij, Sanne J.H., van Zuiden, Mirjam, Varkevisser, Tim, Veltman, Dick J., Vermeiren, Robert R.J.M., Walter, Henrik, Wang, Li, Wang, Xin, Weis, Carissa, Winternitz, Sherry, Xie, Hong, Zhu, Ye, Wall, Melanie, Neria, Yuval, Morey, Rajendra A., MGGZ, Brain, Zhu, Xi, Kim, Yoojean, Ravid, Orren, He, Xiaofu, Suarez-Jimenez, Benjamin, Zilcha-Mano, Sigal, Lazarov, Amit, Lee, Seonjoo, Abdallah, Chadi G., Angstadt, Michael, Averill, Christopher L., Baird, C. Lexi, Baugh, Lee A., Blackford, Jennifer U., Bomyea, Jessica, Bruce, Steven E., Bryant, Richard A., Cao, Zhihong, Choi, Kyle, Cisler, Josh, Cotton, Andrew S., Daniels, Judith K., Davenport, Nicholas D., Davidson, Richard J., DeBellis, Michael D., Dennis, Emily L., Densmore, Maria, deRoon-Cassini, Terri, Disner, Seth G., Hage, Wissam El, Etkin, Amit, Fani, Negar, Fercho, Kelene A., Fitzgerald, Jacklynn, Forster, Gina L., Frijling, Jessie L., Geuze, Elbert, Gonenc, Atilla, Gordon, Evan M., Gruber, Staci, Grupe, Daniel W., Guenette, Jeffrey P., Haswell, Courtney C., Herringa, Ryan J., Herzog, Julia, Hofmann, David Bernd, Hosseini, Bobak, Hudson, Anna R., Huggins, Ashley A., Ipser, Jonathan C., Jahanshad, Neda, Jia-Richards, Meilin, Jovanovic, Tanja, Kaufman, Milissa L., Kennis, Mitzy, King, Anthony, Kinzel, Philipp, Koch, Saskia B.J., Koerte, Inga K., Koopowitz, Sheri M., Korgaonkar, Mayuresh S., Krystal, John H., Lanius, Ruth, Larson, Christine L., Lebois, Lauren A.M., Li, Gen, Liberzon, Israel, Lu, Guang Ming, Luo, Yifeng, Magnotta, Vincent A., Manthey, Antje, Maron-Katz, Adi, May, Geoffery, McLaughlin, Katie, Mueller, Sven C., Nawijn, Laura, Nelson, Steven M., Neufeld, Richard W.J., Nitschke, Jack B., O'Leary, Erin M., Olatunji, Bunmi O., Olff, Miranda, Peverill, Matthew, Phan, K. Luan, Qi, Rongfeng, Quidé, Yann, Rektor, Ivan, Ressler, Kerry, Riha, Pavel, Ross, Marisa, Rosso, Isabelle M., Salminen, Lauren E., Sambrook, Kelly, Schmahl, Christian, Shenton, Martha E., Sheridan, Margaret, Shih, Chiahao, Sicorello, Maurizio, Sierk, Anika, Simmons, Alan N., Simons, Raluca M., Simons, Jeffrey S., Sponheim, Scott R., Stein, Murray B., Stein, Dan J., Stevens, Jennifer S., Straube, Thomas, Sun, Delin, Théberge, Jean, Thompson, Paul M., Thomopoulos, Sophia I., van der Wee, Nic J.A., van der Werff, Steven J.A., van Erp, Theo G.M., van Rooij, Sanne J.H., van Zuiden, Mirjam, Varkevisser, Tim, Veltman, Dick J., Vermeiren, Robert R.J.M., Walter, Henrik, Wang, Li, Wang, Xin, Weis, Carissa, Winternitz, Sherry, Xie, Hong, Zhu, Ye, Wall, Melanie, Neria, Yuval, and Morey, Rajendra A.

Published
2023

22. Remodeling of the Cortical Structural Connectome in Posttraumatic Stress Disorder: Results from the ENIGMA-PGC PTSD Consortium

Author

Sun, Delin, Rakesh, Gopalkumar, Clarke-Rubright, Emily K, Haswell, Courtney C, Logue, Mark, O'Leary, Erin N, Cotton, Andrew S, Xie, Hong, Dennis, Emily L, Jahanshad, Neda, Salminen, Lauren E, Thomopoulos, Sophia I, Rashid, Faisal, Ching, Christopher R K, Koch, Saskia B J, Frijling, Jessie L, Nawijn, Laura, van Zuiden, Mirjam, Zhu, Xi, Suarez-Jimenez, Benjamin, Sierk, Anika, Walter, Henrik, Manthey, Antje, Stevens, Jennifer S, Fani, Negar, van Rooij, Sanne J H, Stein, Murray, Bomyea, Jessica, Koerte, Inga, Choi, Kyle, van de Werff, Steven J A, Vermeiren, Robert R J M, Herzog, Julia, Lebois, Lauren A M, Baker, Justin T, Ressler, Kerry J, Olson, Elizabeth A, Straube, Thomas, Korgaonkar, Mayuresh S, Andrew, Elpiniki, Zhu, Ye, Li, Gen, Ipser, Jonathan, Hudson, Anna, Peverill, Matthew, Sambrook, Kelly, Gordon, Evan, Baugh, Lee, Forster, Gina, Simons, Raluca, Simons, Jeffrey, Magnotta, Vincent, Maron-Katz, Adi, du Plessis, Stefan, Disner, Seth, Davenport, Nicholas, Grupe, Dan, Nitschke, Jack, deRoon-Cassini, Terri A, Fitzgerald, Jacklynn, Krystal, John H, Levy, Ifat, Olff, Miranda, Veltman, Dick J, Wang, Li, Neria, Yuval, De Bellis, Michael D, Jovanovic, Tanja, Daniels, Judith K, Shenton, Martha, van de Wee, Nic J A, Schmahl, Christian, Kaufman, Milissa L, Rosso, Isabelle M, Sponheim, Scott R, Hofmann, David Bernd, Bryant, Richard A, Fercho, Kelene A, Stein, Dan J, Mueller, Sven C, Phan, Luan, McLaughlin, Katie A, Davidson, Richard J, Larson, Christine, May, Geoffrey, Nelson, Steven M, Abdallah, Chadi G, Gomaa, Hassaan, Etkin, Amit, Seedat, Soraya, Harpaz-Rotem, Ilan, Liberzon, Israel, Wang, Xin, Thompson, Paul M, Morey, Rajendra A, and Clinical Psychology and Experimental Psychopathology

Abstract

BACKGROUND: Posttraumatic stress disorder (PTSD) is accompanied by disrupted cortical neuroanatomy. We investigated alteration in covariance of structural networks associated with PTSD in regions that demonstrate the case-control differences in cortical thickness (CT) and surface area (SA). METHODS: Neuroimaging and clinical data were aggregated from 29 research sites in >1,300 PTSD cases and >2,000 trauma-exposed controls (age 6.2-85.2 years) by the ENIGMA-PGC PTSD working group. Cortical regions in the network were rank-ordered by effect size of PTSD-related cortical differences in CT and SA. The top-n (n = 2 to 148) regions with the largest effect size for PTSD > non-PTSD formed hypertrophic networks, the largest effect size for PTSD < non-PTSD formed atrophic networks, and the smallest effect size of between-group differences formed stable networks. The mean structural covariance (SC) of a given n-region network was the average of all positive pairwise correlations and was compared to the mean SC of 5,000 randomly generated n-region networks. RESULTS: Patients with PTSD, relative to non-PTSD controls, exhibited lower mean SC in CT-based and SA-based atrophic networks. Comorbid depression, sex and age modulated covariance differences of PTSD-related structural networks. CONCLUSIONS: Covariance of structural networks based on CT and cortical SA are affected by PTSD and further modulated by comorbid depression, sex, and age. The structural covariance networks that are perturbed in PTSD comport with converging evidence from resting state functional connectivity networks and networks impacted by inflammatory processes, and stress hormones in PTSD.

Published
2022

23. A comparison of methods to harmonize cortical thickness measurements across scanners and sites

Author

Sun, Delin, primary, Rakesh, Gopalkumar, additional, Haswell, Courtney C., additional, Logue, Mark, additional, Baird, C. Lexi, additional, O'Leary, Erin N., additional, Cotton, Andrew S., additional, Xie, Hong, additional, Tamburrino, Marijo, additional, Chen, Tian, additional, Dennis, Emily L., additional, Jahanshad, Neda, additional, Salminen, Lauren E., additional, Thomopoulos, Sophia I., additional, Rashid, Faisal, additional, Ching, Christopher R.K., additional, Koch, Saskia B.J., additional, Frijling, Jessie L., additional, Nawijn, Laura, additional, van Zuiden, Mirjam, additional, Zhu, Xi, additional, Suarez-Jimenez, Benjamin, additional, Sierk, Anika, additional, Walter, Henrik, additional, Manthey, Antje, additional, Stevens, Jennifer S., additional, Fani, Negar, additional, van Rooij, Sanne J.H., additional, Stein, Murray, additional, Bomyea, Jessica, additional, Koerte, Inga K., additional, Choi, Kyle, additional, van der Werff, Steven J.A., additional, Vermeiren, Robert R.J.M., additional, Herzog, Julia, additional, Lebois, Lauren A.M., additional, Baker, Justin T., additional, Olson, Elizabeth A., additional, Straube, Thomas, additional, Korgaonkar, Mayuresh S., additional, Andrew, Elpiniki, additional, Zhu, Ye, additional, Li, Gen, additional, Ipser, Jonathan, additional, Hudson, Anna R., additional, Peverill, Matthew, additional, Sambrook, Kelly, additional, Gordon, Evan, additional, Baugh, Lee, additional, Forster, Gina, additional, Simons, Raluca M., additional, Simons, Jeffrey S., additional, Magnotta, Vincent, additional, Maron-Katz, Adi, additional, du Plessis, Stefan, additional, Disner, Seth G., additional, Davenport, Nicholas, additional, Grupe, Daniel W., additional, Nitschke, Jack B., additional, deRoon-Cassini, Terri A., additional, Fitzgerald, Jacklynn M., additional, Krystal, John H., additional, Levy, Ifat, additional, Olff, Miranda, additional, Veltman, Dick J., additional, Wang, Li, additional, Neria, Yuval, additional, De Bellis, Michael D., additional, Jovanovic, Tanja, additional, Daniels, Judith K., additional, Shenton, Martha, additional, van de Wee, Nic J.A., additional, Schmahl, Christian, additional, Kaufman, Milissa L., additional, Rosso, Isabelle M., additional, Sponheim, Scott R., additional, Hofmann, David Bernd, additional, Bryant, Richard A., additional, Fercho, Kelene A., additional, Stein, Dan J., additional, Mueller, Sven C., additional, Hosseini, Bobak, additional, Phan, K. Luan, additional, McLaughlin, Katie A., additional, Davidson, Richard J., additional, Larson, Christine L., additional, May, Geoffrey, additional, Nelson, Steven M., additional, Abdallah, Chadi G., additional, Gomaa, Hassaan, additional, Etkin, Amit, additional, Seedat, Soraya, additional, Harpaz-Rotem, Ilan, additional, Liberzon, Israel, additional, van Erp, Theo G.M., additional, Quidé, Yann, additional, Wang, Xin, additional, Thompson, Paul M., additional, and Morey, Rajendra A., additional

Published
2022
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25. Systematic comparison of pancreatic ductal adenocarcinoma models identifies a conserved highly plastic basal cell state

Author

Pitter, Kenneth L., primary, Grbovic-Huezo, Olivera, additional, Joost, Simon, additional, Singhal, Anupriya, additional, Blum, Melissa, additional, Wu, Katherine, additional, Holm, Matilda, additional, Ferrena, Alexander, additional, Bhutkar, Arjun, additional, Hudson, Anna, additional, Lecomte, Nicolas, additional, de Stanchina, Elisa, additional, Chaligne, Ronan, additional, Iacobuzio-Donahue, Christine A., additional, Pe'er, Dana, additional, and Tammela, Tuomas, additional

Published
2022
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28. Qummut Qukiria! : Art, Culture, and Sovereingty Across Inuit Nunaat and Sápmi : Mobilizing the Circumpolar North

Author

Hudson, Anna, Igloliorte, Heather, Lundström, Jan-Erik, Skåden, Sigbjørn, Partridge, Taqralik, Gaski, Harald, Guttorm, Gunvor, Idivuoma, Ingá Elisá Påve, Laugrand, Frédéric, Bergh, Sissel M., Hudson, Anna, Igloliorte, Heather, Lundström, Jan-Erik, Skåden, Sigbjørn, Partridge, Taqralik, Gaski, Harald, Guttorm, Gunvor, Idivuoma, Ingá Elisá Påve, Laugrand, Frédéric, and Bergh, Sissel M.

Published
2022

29. Emergence of a High-Plasticity Cell State during Lung Cancer Evolution

Author

Marjanovic, Nemanja Despot, Hofree, Matan, Chan, Jason E., Canner, David, Wu, Katherine, Trakala, Marianna, Hartmann, Griffin G., Smith, Olivia C., Kim, Jonathan Y., Evans, Kelly Victoria, Hudson, Anna, Ashenberg, Orr, Porter, Caroline B.M., Bejnood, Alborz, Subramanian, Ayshwarya, Pitter, Kenneth, Yan, Yan, Delorey, Toni, Phillips, Devan R., Shah, Nisargbhai, Chaudhary, Ojasvi, Tsankov, Alexander, Hollmann, Travis, Rekhtman, Natasha, Massion, Pierre P., Poirier, John T., Mazutis, Linas, Li, Ruifang, Lee, Joo-Hyeon, Amon, Angelika, Rudin, Charles M., Jacks, Tyler, Regev, Aviv, Tammela, Tuomas, Marjanovic, Nemanja Despot, Hofree, Matan, Chan, Jason E., Canner, David, Wu, Katherine, Trakala, Marianna, Hartmann, Griffin G., Smith, Olivia C., Kim, Jonathan Y., Evans, Kelly Victoria, Hudson, Anna, Ashenberg, Orr, Porter, Caroline B.M., Bejnood, Alborz, Subramanian, Ayshwarya, Pitter, Kenneth, Yan, Yan, Delorey, Toni, Phillips, Devan R., Shah, Nisargbhai, Chaudhary, Ojasvi, Tsankov, Alexander, Hollmann, Travis, Rekhtman, Natasha, Massion, Pierre P., Poirier, John T., Mazutis, Linas, Li, Ruifang, Lee, Joo-Hyeon, Amon, Angelika, Rudin, Charles M., Jacks, Tyler, Regev, Aviv, and Tammela, Tuomas

Abstract

Tumor evolution from a single cell into a malignant, heterogeneous tissue remains poorly understood. Here, we profile single-cell transcriptomes of genetically engineered mouse lung tumors at seven stages, from pre-neoplastic hyperplasia to adenocarcinoma. The diversity of transcriptional states increases over time and is reproducible across tumors and mice. Cancer cells progressively adopt alternate lineage identities, computationally predicted to be mediated through a common transitional, high-plasticity cell state (HPCS). Accordingly, HPCS cells prospectively isolated from mouse tumors and human patient-derived xenografts display high capacity for differentiation and proliferation. The HPCS program is associated with poor survival across human cancers and demonstrates chemoresistance in mice. Our study reveals a central principle underpinning intra-tumoral heterogeneity and motivates therapeutic targeting of the HPCS. Cellular states capable of promoting tumor progression and resisting therapies exist in heterogeneous tumors. Marjanovic et al. discover that a high-plasticity cell state common to mouse and human lung tumors drives cellular heterogeneity, is highly tumorigenic and drug resistant, and associates with poor patient prognosis.

Published
2022

31. Affordable IgY-based antiviral prophylaxis for resource-limited settings to address epidemic and pandemic risks

Author

Chen, Carrie J, primary, Hudson, Anna F, additional, Jia, Allison S, additional, Kunchur, Caitlin R, additional, Song, Andrew J, additional, Tran, Edward, additional, Fisher, Chris J, additional, Zanchi, Davide, additional, Lee, Lucia, additional, Kargotich, Stephen, additional, Romeo, Mary, additional, Koperniku, Ana, additional, Pamnani, Ravinder D, additional, and Mochly-Rosen, Daria, additional

Published
2022
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33. Supplementary Table 1 -JAP.docx

Author

Epiu, Isabella, Gandevia, Simon, Boswell-Ruys, Claire, Basha, Chanelle, Archer, Sean, Butler, Jane E., and L. Hudson, Anna

Abstract

Outline of baseline characteristics of participants.

Published
2021
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36. Movement of the ribs in supine humans for small and large changes in lung volume

Author

Luu, Billy L., McDonald, Rhys J., Bolsterlee, Bart, Heroux, Martin E., Butler, Jane E., Hudson, Anna L., Luu, Billy L., McDonald, Rhys J., Bolsterlee, Bart, Heroux, Martin E., Butler, Jane E., and Hudson, Anna L.

Abstract

An object-tracking algorithm was used on computed tomography (CT) images of the thorax from six healthy participants and nine participants with chronic obstructive pulmonary disease (COPD) to describe the movement of the ribs between the static lung volumes of functional residual capacity (FRC) and total lung capacity (TLC). The continuous motion of the ribs during tidal breathing was also described using four-dimensional CT datasets from seven participants with thoracic esophageal malignancies. Rib motion was defined relative to a local joint coordinate system where rotations about the axes that predominantly affected the anteroposterior and transverse diameters of the rib cage were referred to as pump-handle and bucket-handle movements, respectively. Between TLC and FRC, pump-handle movements were 1.8 times larger in healthy participants than in participants with COPD, in line with their 1.6 times larger inspiratory capacities. However, when rib motion was normalized to the change in lung volume, pump-handle movements were similar for healthy participants and participants with COPD. We found no differences in bucket-handle movements between participant groups before and after normalization. Pump-handle movement was the dominant rib motion between FRC and TLC, on average four times greater than bucket-handle movement in healthy participants. For expiratory tidal volume, pump-handle movements were 20% smaller than bucket-handle movements. When normalized to tidal volume and compared with inspiratory capacity, pump-handle movements were smaller and bucket-handle movements were larger during tidal breathing. The findings suggest that the pump-handle and bucket-handle components of rib motion vary for small and large changes in lung volume.

Published
2021

44. The neural control of breathing in health and respiratory impairment

Author

Butler, Jane, Neuroscience Research Australia, Faculty of Medicine, UNSW, Hudson, Anna, Neuroscience Research Australia, Faculty of Medicine, UNSW, Gandevia, Simon, Neuroscience Research Australia, Faculty of Medicine, UNSW, Nguyen, David, Medical Sciences, Faculty of Medicine, UNSW, Butler, Jane, Neuroscience Research Australia, Faculty of Medicine, UNSW, Hudson, Anna, Neuroscience Research Australia, Faculty of Medicine, UNSW, Gandevia, Simon, Neuroscience Research Australia, Faculty of Medicine, UNSW, and Nguyen, David, Medical Sciences, Faculty of Medicine, UNSW

Abstract

The inspiratory muscles, such as the diaphragm, receive descending neural inputs from the medulla and sensorimotor cortex. In response to increased respiratory demand or in the presence of respiratory impairment, the neural control of the inspiratory muscles adapts to meet ventilatory requirements. This thesis addresses the neural control of inspiration in health, healthy ageing and chronic tetraplegia. In the first two chapters of results, single motor unit electromyographic recordings of the costal diaphragm were performed in healthy people aged 23-80 years (Chapter 2) and in chronic tetraplegia (Chapter 3) during quiet breathing. The findings show that diaphragm motor unit discharge frequencies during quiet breathing do not change in healthy ageing but are increased in chronic tetraplegia. Diaphragm motor unit action potentials are larger in size in both healthy ageing and chronic tetraplegia, although more so in the latter group, which suggests motor unit remodelling. The difference between the two groups reflects the greater severity of respiratory motor impairment in chronic tetraplegia. Furthermore, ageing-related changes in diaphragm motor unit size were observed in middle age. The sensorimotor cortex is recruited during quiet breathing in certain conditions of respiratory impairment but not in healthy, younger people. In Chapter 4, electroencephalographic recordings were made from participants with chronic tetraplegia during quiet breathing. The results show that the sensorimotor cortex is not recruited which suggests that other sources of neural control, likely the medulla, generate the increase in diaphragm motor unit output during quiet breathing. In Chapter 5, electromyographic recordings were made from healthy people to investigate the simultaneous control of the costal and crural portions of the diaphragm with increased drive to breathe. Here, regardless of whether the source of increased drive is voluntary or involuntary, the costal portion of the di

Published
2020

49. ERS statement on respiratory muscle testing at rest and during exercise

Author

Laveneziana, Pierantonio, primary, Albuquerque, Andre, additional, Aliverti, Andrea, additional, Babb, Tony, additional, Barreiro, Esther, additional, Dres, Martin, additional, Dubé, Bruno-Pierre, additional, Fauroux, Brigitte, additional, Gea, Joaquim, additional, Guenette, Jordan A., additional, Hudson, Anna L., additional, Kabitz, Hans-Joachim, additional, Laghi, Franco, additional, Langer, Daniel, additional, Luo, Yuan-Ming, additional, Neder, J. Alberto, additional, O'Donnell, Denis, additional, Polkey, Michael I., additional, Rabinovich, Roberto A., additional, Rossi, Andrea, additional, Series, Frédéric, additional, Similowski, Thomas, additional, Spengler, Christina, additional, Vogiatzis, Ioannis, additional, and Verges, Samuel, additional

Published
2019
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