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1. Psilocybin desynchronizes the human brain

Author

Siegel, Joshua S, Subramanian, Subha, Perry, Demetrius, Kay, Benjamin P, Gordon, Evan M, Laumann, Timothy O, Reneau, T Rick, Metcalf, Nicholas V, Chacko, Ravi V, Gratton, Caterina, Horan, Christine, Krimmel, Samuel R, Shimony, Joshua S, Schweiger, Julie A, Wong, Dean F, Bender, David A, Scheidter, Kristen M, Whiting, Forrest I, Padawer-Curry, Jonah A, Shinohara, Russell T, Chen, Yong, Moser, Julia, Yacoub, Essa, Nelson, Steven M, Vizioli, Luca, Fair, Damien A, Lenze, Eric J, Carhart-Harris, Robin, Raison, Charles L, Raichle, Marcus E, Snyder, Abraham Z, Nicol, Ginger E, and Dosenbach, Nico UF

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Psychology, Biomedical Imaging, Neurosciences, Clinical Research, 1.2 Psychological and socioeconomic processes, Neurological, Mental health, Adolescent, Adult, Female, Humans, Male, Middle Aged, Young Adult, Brain, Brain Mapping, Default Mode Network, Hallucinogens, Healthy Volunteers, Hippocampus, Magnetic Resonance Imaging, Methylphenidate, Nerve Net, Psilocybin, Space Perception, Time Perception, Ego, General Science & Technology
Abstract

A single dose of psilocybin, a psychedelic that acutely causes distortions of space-time perception and ego dissolution, produces rapid and persistent therapeutic effects in human clinical trials1-4. In animal models, psilocybin induces neuroplasticity in cortex and hippocampus5-8. It remains unclear how human brain network changes relate to subjective and lasting effects of psychedelics. Here we tracked individual-specific brain changes with longitudinal precision functional mapping (roughly 18 magnetic resonance imaging visits per participant). Healthy adults were tracked before, during and for 3 weeks after high-dose psilocybin (25 mg) and methylphenidate (40 mg), and brought back for an additional psilocybin dose 6-12 months later. Psilocybin massively disrupted functional connectivity (FC) in cortex and subcortex, acutely causing more than threefold greater change than methylphenidate. These FC changes were driven by brain desynchronization across spatial scales (areal, global), which dissolved network distinctions by reducing correlations within and anticorrelations between networks. Psilocybin-driven FC changes were strongest in the default mode network, which is connected to the anterior hippocampus and is thought to create our sense of space, time and self. Individual differences in FC changes were strongly linked to the subjective psychedelic experience. Performing a perceptual task reduced psilocybin-driven FC changes. Psilocybin caused persistent decrease in FC between the anterior hippocampus and default mode network, lasting for weeks. Persistent reduction of hippocampal-default mode network connectivity may represent a neuroanatomical and mechanistic correlate of the proplasticity and therapeutic effects of psychedelics.

Published
2024

3. Frontostriatal salience network expansion in individuals in depression

Author

Lynch, Charles J., Elbau, Immanuel G., Ng, Tommy, Ayaz, Aliza, Zhu, Shasha, Wolk, Danielle, Manfredi, Nicola, Johnson, Megan, Chang, Megan, Chou, Jolin, Summerville, Indira, Ho, Claire, Lueckel, Maximilian, Bukhari, Hussain, Buchanan, Derrick, Victoria, Lindsay W., Solomonov, Nili, Goldwaser, Eric, Moia, Stefano, Caballero-Gaudes, Cesar, Downar, Jonathan, Vila-Rodriguez, Fidel, Daskalakis, Zafiris J., Blumberger, Daniel M., Kay, Kendrick, Aloysi, Amy, Gordon, Evan M., Bhati, Mahendra T., Williams, Nolan, Power, Jonathan D., Zebley, Benjamin, Grosenick, Logan, Gunning, Faith M., and Liston, Conor

Published
2024
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4. 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

5. 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

6. A somato-cognitive action network alternates with effector regions in motor cortex.

Author

Gordon, Evan M, Chauvin, Roselyne J, Van, Andrew N, Rajesh, Aishwarya, Nielsen, Ashley, Newbold, Dillan J, Lynch, Charles J, Seider, Nicole A, Krimmel, Samuel R, Scheidter, Kristen M, Monk, Julia, Miller, Ryland L, Metoki, Athanasia, Montez, David F, Zheng, Annie, Elbau, Immanuel, Madison, Thomas, Nishino, Tomoyuki, Myers, Michael J, Kaplan, Sydney, Badke D'Andrea, Carolina, Demeter, Damion V, Feigelis, Matthew, Ramirez, Julian SB, Xu, Ting, Barch, Deanna M, Smyser, Christopher D, Rogers, Cynthia E, Zimmermann, Jan, Botteron, Kelly N, Pruett, John R, Willie, Jon T, Brunner, Peter, Shimony, Joshua S, Kay, Benjamin P, Marek, Scott, Norris, Scott A, Gratton, Caterina, Sylvester, Chad M, Power, Jonathan D, Liston, Conor, Greene, Deanna J, Roland, Jarod L, Petersen, Steven E, Raichle, Marcus E, Laumann, Timothy O, Fair, Damien A, and Dosenbach, Nico UF

Subjects
Foot, Hand, Mouth, Motor Cortex, Animals, Macaca, Humans, Magnetic Resonance Imaging, Brain Mapping, Cognition, Child, Infant, Infant, Newborn, Datasets as Topic, Pediatric, Neurosciences, 1.1 Normal biological development and functioning, Underpinning research, Neurological, General Science & Technology
Abstract

Motor cortex (M1) has been thought to form a continuous somatotopic homunculus extending down the precentral gyrus from foot to face representations1,2, despite evidence for concentric functional zones3 and maps of complex actions4. Here, using precision functional magnetic resonance imaging (fMRI) methods, we find that the classic homunculus is interrupted by regions with distinct connectivity, structure and function, alternating with effector-specific (foot, hand and mouth) areas. These inter-effector regions exhibit decreased cortical thickness and strong functional connectivity to each other, as well as to the cingulo-opercular network (CON), critical for action5 and physiological control6, arousal7, errors8 and pain9. This interdigitation of action control-linked and motor effector regions was verified in the three largest fMRI datasets. Macaque and pediatric (newborn, infant and child) precision fMRI suggested cross-species homologues and developmental precursors of the inter-effector system. A battery of motor and action fMRI tasks documented concentric effector somatotopies, separated by the CON-linked inter-effector regions. The inter-effectors lacked movement specificity and co-activated during action planning (coordination of hands and feet) and axial body movement (such as of the abdomen or eyebrows). These results, together with previous studies demonstrating stimulation-evoked complex actions4 and connectivity to internal organs10 such as the adrenal medulla, suggest that M1 is punctuated by a system for whole-body action planning, the somato-cognitive action network (SCAN). In M1, two parallel systems intertwine, forming an integrate-isolate pattern: effector-specific regions (foot, hand and mouth) for isolating fine motor control and the SCAN for integrating goals, physiology and body movement.

Published
2023

7. Resting-state cortical hubs in youth organize into four categories

Author

Demeter, Damion V, Gordon, Evan M, Nugiel, Tehila, Garza, AnnaCarolina, Larguinho, Tyler L, and Church, Jessica A

Subjects
Biological Sciences, Neurosciences, Clinical Research, Pediatric, Behavioral and Social Science, 1.1 Normal biological development and functioning, 2.1 Biological and endogenous factors, Neurological, Adult, Humans, Adolescent, Magnetic Resonance Imaging, Neural Pathways, Nerve Net, Brain, Brain Mapping, CP: Neuroscience, cortical hubs, executive functions, fMRI, functional connectivity, resting state, Biochemistry and Cell Biology, Medical Physiology, Biological sciences
Abstract

During childhood, neural systems supporting high-level cognitive processes undergo periods of rapid growth and refinement, which rely on the successful coordination of activation across the brain. Some coordination occurs via cortical hubs-brain regions that coactivate with functional networks other than their own. Adult cortical hubs map into three distinct profiles, but less is known about hub categories during development, when critical improvement in cognition occurs. We identify four distinct hub categories in a large youth sample (n = 567, ages 8.5-17.2), each exhibiting more diverse connectivity profiles than adults. Youth hubs integrating control-sensory processing split into two distinct categories (visual control and auditory/motor control), whereas adult hubs unite under one. This split suggests a need for segregating sensory stimuli while functional networks are experiencing rapid development. Functional coactivation strength for youth control-processing hubs are associated with task performance, suggesting a specialized role in routing sensory information to and from the brain's control system.

Published
2023

8. 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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9. Using synthetic MR images for distortion correction

Author

Montez, David F, Van, Andrew N, Miller, Ryland L, Seider, Nicole A, Marek, Scott, Zheng, Annie, Newbold, Dillan J, Scheidter, Kristen, Feczko, Eric, Perrone, Anders J, Miranda-Dominguez, Oscar, Earl, Eric A, Kay, Benjamin P, Jha, Abhinav K, Sotiras, Aristeidis, Laumann, Timothy O, Greene, Deanna J, Gordon, Evan M, Tisdall, M Dylan, van der Kouwe, Andre, Fair, Damien A, and Dosenbach, Nico UF

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical and Health Psychology, Neurosciences, Psychology, Biomedical Imaging, Pediatric, Bioengineering, Adult, Humans, Child, Adolescent, Image Processing, Computer-Assisted, Algorithms, Magnetic Resonance Imaging, Echo-Planar Imaging, Brain, Artifacts, fMRI, EPI, Distortion correction, Field map, Registration, Clinical Sciences, Cognitive Sciences, Biological psychology, Clinical and health psychology
Abstract

Functional MRI (fMRI) data acquired using echo-planar imaging (EPI) are highly distorted by magnetic field inhomogeneities. Distortion and differences in image contrast between EPI and T1-weighted and T2-weighted (T1w/T2w) images makes their alignment a challenge. Typically, field map data are used to correct EPI distortions. Alignments achieved with field maps can vary greatly and depends on the quality of field map data. However, many public datasets lack field map data entirely. Additionally, reliable field map data is often difficult to acquire in high-motion pediatric or developmental cohorts. To address this, we developed Synth, a software package for distortion correction and cross-modal image registration that does not require field map data. Synth combines information from T1w and T2w anatomical images to construct an idealized undistorted synthetic image with similar contrast properties to EPI data. This synthetic image acts as an effective reference for individual-specific distortion correction. Using pediatric (ABCD: Adolescent Brain Cognitive Development) and adult (MSC: Midnight Scan Club; HCP: Human Connectome Project) data, we demonstrate that Synth performs comparably to field map distortion correction approaches, and often outperforms them. Field map-less distortion correction with Synth allows accurate and precise registration of fMRI data with missing or corrupted field map information.

Published
2023

10. 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

13. Accuracy and reliability of diffusion imaging models.

Author

Seider, Nicole A, Adeyemo, Babatunde, Miller, Ryland, Newbold, Dillan J, Hampton, Jacqueline M, Scheidter, Kristen M, Rutlin, Jerrel, Laumann, Timothy O, Roland, Jarod L, Montez, David F, Van, Andrew N, Zheng, Annie, Marek, Scott, Kay, Benjamin P, Bretthorst, G Larry, Schlaggar, Bradley L, Greene, Deanna J, Wang, Yong, Petersen, Steven E, Barch, Deanna M, Gordon, Evan M, Snyder, Abraham Z, Shimony, Joshua S, and Dosenbach, Nico UF

Subjects
Brain, Humans, Diffusion Magnetic Resonance Imaging, Bayes Theorem, Reproducibility of Results, Diffusion, Algorithms, Diffusion Tensor Imaging, Brain Disorders, Biomedical Imaging, Bioengineering, Neurosciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
Abstract

Diffusion imaging aims to non-invasively characterize the anatomy and integrity of the brain's white matter fibers. We evaluated the accuracy and reliability of commonly used diffusion imaging methods as a function of data quantity and analysis method, using both simulations and highly sampled individual-specific data (927-1442 diffusion weighted images [DWIs] per individual). Diffusion imaging methods that allow for crossing fibers (FSL's BedpostX [BPX], DSI Studio's Constant Solid Angle Q-Ball Imaging [CSA-QBI], MRtrix3's Constrained Spherical Deconvolution [CSD]) estimated excess fibers when insufficient data were present and/or when the data did not match the model priors. To reduce such overfitting, we developed a novel Bayesian Multi-tensor Model-selection (BaMM) method and applied it to the popular ball-and-stick model used in BedpostX within the FSL software package. BaMM was robust to overfitting and showed high reliability and the relatively best crossing-fiber accuracy with increasing amounts of diffusion data. Thus, sufficient data and an overfitting resistant analysis method enhance precision diffusion imaging. For potential clinical applications of diffusion imaging, such as neurosurgical planning and deep brain stimulation (DBS), the quantities of data required to achieve diffusion imaging reliability are lower than those needed for functional MRI.

Published
2022

14. Parallel hippocampal-parietal circuits for self- and goal-oriented processing

Author

Zheng, Annie, Montez, David F, Marek, Scott, Gilmore, Adrian W, Newbold, Dillan J, Laumann, Timothy O, Kay, Benjamin P, Seider, Nicole A, Van, Andrew N, Hampton, Jacqueline M, Alexopoulos, Dimitrios, Schlaggar, Bradley L, Sylvester, Chad M, Greene, Deanna J, Shimony, Joshua S, Nelson, Steven M, Wig, Gagan S, Gratton, Caterina, McDermott, Kathleen B, Raichle, Marcus E, Gordon, Evan M, and Dosenbach, Nico UF

Subjects
Neurosciences, Mental Health, Clinical Research, Behavioral and Social Science, Mental health, Adult, Brain Mapping, Databases, Factual, Female, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Memory, Episodic, Nerve Net, Neural Pathways, Parietal Lobe, Task Performance and Analysis, Young Adult, hippocampus, functional connectivity, brain networks, individual variability, resting state
Abstract

The hippocampus is critically important for a diverse range of cognitive processes, such as episodic memory, prospective memory, affective processing, and spatial navigation. Using individual-specific precision functional mapping of resting-state functional MRI data, we found the anterior hippocampus (head and body) to be preferentially functionally connected to the default mode network (DMN), as expected. The hippocampal tail, however, was strongly preferentially functionally connected to the parietal memory network (PMN), which supports goal-oriented cognition and stimulus recognition. This anterior-posterior dichotomy of resting-state functional connectivity was well-matched by differences in task deactivations and anatomical segmentations of the hippocampus. Task deactivations were localized to the hippocampal head and body (DMN), relatively sparing the tail (PMN). The functional dichotomization of the hippocampus into anterior DMN-connected and posterior PMN-connected parcels suggests parallel but distinct circuits between the hippocampus and medial parietal cortex for self- versus goal-oriented processing.

Published
2021

15. 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

16. Altered white matter microstructural organization in posttraumatic stress disorder across 3047 adults: results from the PGC-ENIGMA PTSD consortium

Author

Dennis, Emily L, Disner, Seth G, Fani, Negar, Salminen, Lauren E, Logue, Mark, Clarke, Emily K, Haswell, Courtney C, Averill, Christopher L, Baugh, Lee A, Bomyea, Jessica, Bruce, Steven E, Cha, Jiook, Choi, Kyle, Davenport, Nicholas D, Densmore, Maria, du Plessis, Stefan, Forster, Gina L, Frijling, Jessie L, Gonenc, Atilla, Gruber, Staci, Grupe, Daniel W, Guenette, Jeffrey P, Hayes, Jasmeet, Hofmann, David, Ipser, Jonathan, Jovanovic, Tanja, Kelly, Sinead, Kennis, Mitzy, Kinzel, Philipp, Koch, Saskia BJ, Koerte, Inga, Koopowitz, Sheri, Korgaonkar, Mayuresh, Krystal, John, Lebois, Lauren AM, Li, Gen, Magnotta, Vincent A, Manthey, Antje, May, Geoff J, Menefee, Deleene S, Nawijn, Laura, Nelson, Steven M, Neufeld, Richard WJ, Nitschke, Jack B, O’Doherty, Daniel, Peverill, Matthew, Ressler, Kerry J, Roos, Annerine, Sheridan, Margaret A, Sierk, Anika, Simmons, Alan, Simons, Raluca M, Simons, Jeffrey S, Stevens, Jennifer, Suarez-Jimenez, Benjamin, Sullivan, Danielle R, Théberge, Jean, Tran, Jana K, van den Heuvel, Leigh, van der Werff, Steven JA, van Rooij, Sanne JH, van Zuiden, Mirjam, Velez, Carmen, Verfaellie, Mieke, Vermeiren, Robert RJM, Wade, Benjamin SC, Wager, Tor, Walter, Henrik, Winternitz, Sherry, Wolff, Jonathan, York, Gerald, Zhu, Ye, Zhu, Xi, Abdallah, Chadi G, Bryant, Richard, Daniels, Judith K, Davidson, Richard J, Fercho, Kelene A, Franz, Carol, Geuze, Elbert, Gordon, Evan M, Kaufman, Milissa L, Kremen, William S, Lagopoulos, Jim, Lanius, Ruth A, Lyons, Michael J, McCauley, Stephen R, McGlinchey, Regina, McLaughlin, Katie A, Milberg, William, Neria, Yuval, Olff, Miranda, Seedat, Soraya, Shenton, Martha, Sponheim, Scott R, Stein, Dan J, Stein, Murray B, Straube, Thomas, Tate, David F, and van der Wee, Nic JA

Subjects
Biological Psychology, Psychology, Post-Traumatic Stress Disorder (PTSD), Clinical Research, Mental Illness, Biomedical Imaging, Physical Injury - Accidents and Adverse Effects, Neurosciences, Behavioral and Social Science, Brain Disorders, Mental Health, Anxiety Disorders, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Adolescent, Adult, Aged, Aged, 80 and over, Anisotropy, Brain, Diffusion Tensor Imaging, Female, Humans, Male, Middle Aged, Stress Disorders, Post-Traumatic, White Matter, Young Adult, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

A growing number of studies have examined alterations in white matter organization in people with posttraumatic stress disorder (PTSD) using diffusion MRI (dMRI), but the results have been mixed which may be partially due to relatively small sample sizes among studies. Altered structural connectivity may be both a neurobiological vulnerability for, and a result of, PTSD. In an effort to find reliable effects, we present a multi-cohort analysis of dMRI metrics across 3047 individuals from 28 cohorts currently participating in the PGC-ENIGMA PTSD working group (a joint partnership between the Psychiatric Genomics Consortium and the Enhancing NeuroImaging Genetics through Meta-Analysis consortium). Comparing regional white matter metrics across the full brain in 1426 individuals with PTSD and 1621 controls (2174 males/873 females) between ages 18-83, 92% of whom were trauma-exposed, we report associations between PTSD and disrupted white matter organization measured by lower fractional anisotropy (FA) in the tapetum region of the corpus callosum (Cohen's d = -0.11, p = 0.0055). The tapetum connects the left and right hippocampus, for which structure and function have been consistently implicated in PTSD. Results were consistent even after accounting for the effects of multiple potentially confounding variables: childhood trauma exposure, comorbid depression, history of traumatic brain injury, current alcohol abuse or dependence, and current use of psychotropic medications. Our results show that PTSD may be associated with alterations in the broader hippocampal network.

Published
2021

17. Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium

Author

Suarez-Jimenez, Benjamin, Lazarov, Amit, Zhu, Xi, Zilcha-Mano, Sigal, Kim, Yoojean, Marino, Claire E., Rjabtsenkov, Pavel, Bavdekar, Shreya Y., Pine, Daniel S., Bar-Haim, Yair, Larson, Christine L., Huggins, Ashley A., Terri deRoon-Cassini, Tomas, Carissa, Fitzgerald, Jacklynn, Kennis, Mitzy, Varkevisser, Tim, Geuze, Elbert, Quidé, Yann, El Hage, Wissam, Wang, Xin, O’Leary, Erin N., Cotton, Andrew S., Xie, Hong, Shih, Chiahao, Disner, Seth G., Davenport, Nicholas D., Sponheim, Scott R., Koch, Saskia B.J., Frijling, Jessie L., Nawijn, Laura, van Zuiden, Mirjam, Olff, Miranda, Veltman, Dick J., Gordon, Evan M., May, Geoffery, Nelson, Steven M., Jia-Richards, Meilin, Neria, Yuval, and Morey, Rajendra A.

Published
2024
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19. Toxic metals and essential elements contents in commercially available fruit juices and other non-alcoholic beverages from the United States

Author

Godebo, Tewodros Rango, Stoner, Hannah, Pechilis, Madeline, Taylor-Arnold, Hadley, Ashmead, Julia, Claman, Leah, Guest, Liam, Consolati, Will, DiMatteo, Oona, Johnson, Madison, Cowden, Kalista, Shaferman, Danny, Gordon, Evan, Dillman, Hayden, Phan, Nati, Tegegn, Aaron, Garrido, Sandra Vazquez, and Heard, Eames

Published
2023
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20. Using synthetic MR images for distortion correction

Author

Montez, David F., Van, Andrew N., Miller, Ryland L., Seider, Nicole A., Marek, Scott, Zheng, Annie, Newbold, Dillan J., Scheidter, Kristen, Feczko, Eric, Perrone, Anders J., Miranda-Dominguez, Oscar, Earl, Eric A., Kay, Benjamin P., Jha, Abhinav K., Sotiras, Aristeidis, Laumann, Timothy O., Greene, Deanna J., Gordon, Evan M., Tisdall, M. Dylan, van der Kouwe, Andre, Fair, Damien A., and Dosenbach, Nico U.F.

Published
2023
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21. Remodeling of the Cortical Structural Connectome in Posttraumatic Stress Disorder: Results From the ENIGMA-PGC Posttraumatic Stress Disorder Consortium

Author

Sun, Delin, Rakesh, Gopalkumar, Clarke-Rubright, Emily K., Haswell, Courtney C., Logue, Mark W., O’Leary, Erin N., Cotton, Andrew S., Xie, Hong, Dennis, Emily L., Jahanshad, Neda, Salminen, Lauren E., Thomopoulos, Sophia I., Rashid, Faisal M., 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 B., Bomyea, Jessica, Koerte, Inga, Choi, Kyle, van der Werff, Steven J.A., Vermeiren, Robert R.J.M., Herzog, Julia I., 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 R., Peverill, Matthew, Sambrook, Kelly, Gordon, Evan, Baugh, Lee A., Forster, Gina, Simons, Raluca M., Simons, Jeffrey S., Magnotta, Vincent A., Maron-Katz, Adi, du Plessis, Stefan, Disner, Seth G., Davenport, Nicholas D., Grupe, Dan, Nitschke, Jack B., 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 E., 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, K. 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., and Morey, Rajendra A.

Published
2022
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22. Accuracy and reliability of diffusion imaging models

Author

Seider, Nicole A., Adeyemo, Babatunde, Miller, Ryland, Newbold, Dillan J., Hampton, Jacqueline M., Scheidter, Kristen M., Rutlin, Jerrel, Laumann, Timothy O., Roland, Jarod L., Montez, David F., Van, Andrew N., Zheng, Annie, Marek, Scott, Kay, Benjamin P., Bretthorst, G. Larry, Schlaggar, Bradley L., Greene, Deanna J., Wang, Yong, Petersen, Steven E., Barch, Deanna M., Gordon, Evan M., Snyder, Abraham Z., Shimony, Joshua S., and Dosenbach, Nico U.F.

Published
2022
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23. Cingulo-opercular control network and disused motor circuits joined in standby mode

Author

Newbold, Dillan J., Gordon, Evan M., Laumann, Timothy O., Seider, Nicole A., Montez, David F., Gross, Sarah J., Zheng, Annie, Nielsen, Ashley N., Hoyt, Catherine R., Hampton, Jacqueline M., Ortega, Mario, Adeyemo, Babatunde, Miller, Derek B., Van, Andrew N., Marek, Scott, Schlaggar, Bradley L., Carter, Alexandre R., Kay, Benjamin P., Greene, Deanna J., Raichle, Marcus E., Petersen, Steven E., Snyder, Abraham Z., and Dosenbach, Nico U. F.

Published
2021

24. Engaging dystonia networks with subthalamic stimulation.

Author

Butenko, Konstantin, primary, Neudorfer, Clemens, additional, Dembek, Till A., additional, Hollunder, Barbara, additional, Meyer, Garance M., additional, Li, Ningfei, additional, Oxenford, Simon, additional, Bahners, Bahne H., additional, Al-Fatly, Bassam, additional, Lofredi, Roxanne, additional, Gordon, Evan M., additional, Dosenbach, Nico U.F., additional, Ganos, Christos, additional, Hallett, Mark, additional, Starr, Philip A., additional, Ostrem, Jill L., additional, Wu, Yiwen, additional, Zhang, ChenCheng, additional, Fox, Michael D., additional, and Horn, Andreas, additional

Published
2024
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26. Individual-specific functional connectivity of the amygdala : A substrate for precision psychiatry

Author

Sylvester, Chad M., Yu, Qiongru, Srivastava, A. Benjamin, Marek, Scott, Zheng, Annie, Alexopoulos, Dimitrios, Smyser, Christopher D., Shimony, Joshua S., Ortega, Mario, Dierker, Donna L., Patel, Gaurav H., Nelson, Steven M., Gilmore, Adrian W., McDermott, Kathleen B., Berg, Jeffrey J., Drysdale, Andrew T., Perino, Michael T., Snyder, Abraham Z., Raut, Ryan V., Laumann, Timothy O., Gordon, Evan M., Barch, Deanna M., Rogers, Cynthia E., Greene, Deanna J., Raichle, Marcus E., and Dosenbach, Nico U. F.

Published
2020

29. H-1B and H-2B Visas in Crisis: Assessing the Shortage and Its Impact on Immigrant Workers.

Author

Garcia, Charina, Gordon, Evan, Jacobson, Michelle, and Siddiqi, Humaa

Subjects
Immigration policy -- Laws, regulations and rules, Migrant labor -- Laws, regulations and rules, Emigration and immigration law -- Evaluation, Fraud -- Laws, regulations and rules, Alien labor -- Laws, regulations and rules, Government regulation
Abstract

In the wake of the Biden administration's findings of unprecedented levels of fraudulent H-1B registrations, the news surrounding this year's H-1B process has left many applicants anxious, as their dreams [...]

Published
2023

31. Plasticity and Spontaneous Activity Pulses in Disused Human Brain Circuits

Author

Newbold, Dillan J., Laumann, Timothy O., Hoyt, Catherine R., Hampton, Jacqueline M., Montez, David F., Raut, Ryan V., Ortega, Mario, Mitra, Anish, Nielsen, Ashley N., Miller, Derek B., Adeyemo, Babatunde, Nguyen, Annie L., Scheidter, Kristen M., Tanenbaum, Aaron B., Van, Andrew N., Marek, Scott, Schlaggar, Bradley L., Carter, Alexandre R., Greene, Deanna J., Gordon, Evan M., Raichle, Marcus E., Petersen, Steven E., Snyder, Abraham Z., and Dosenbach, Nico U.F.

Published
2020
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33. Integrative and Network-Specific Connectivity of the Basal Ganglia and Thalamus Defined in Individuals

Author

Greene, Deanna J., Marek, Scott, Gordon, Evan M., Siegel, Joshua S., Gratton, Caterina, Laumann, Timothy O., Gilmore, Adrian W., Berg, Jeffrey J., Nguyen, Annie L., Dierker, Donna, Van, Andrew N., Ortega, Mario, Newbold, Dillan J., Hampton, Jacqueline M., Nielsen, Ashley N., McDermott, Kathleen B., Roland, Jarod L., Norris, Scott A., Nelson, Steven M., Snyder, Abraham Z., Schlaggar, Bradley L., Petersen, Steven E., and Dosenbach, Nico U.F.

Published
2020
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34. Proceedings of the 11th Annual Deep Brain Stimulation Think Tank: pushing the forefront of neuromodulation with functional network mapping, biomarkers for adaptive DBS, bioethical dilemmas, AI-guided neuromodulation, and translational advancements

Author

Johnson, Kara A., primary, Dosenbach, Nico U. F., additional, Gordon, Evan M., additional, Welle, Cristin G., additional, Wilkins, Kevin B., additional, Bronte-Stewart, Helen M., additional, Voon, Valerie, additional, Morishita, Takashi, additional, Sakai, Yuki, additional, Merner, Amanda R., additional, Lázaro-Muñoz, Gabriel, additional, Williamson, Theresa, additional, Horn, Andreas, additional, Gilron, Ro'ee, additional, O'Keeffe, Jonathan, additional, Gittis, Aryn H., additional, Neumann, Wolf-Julian, additional, Little, Simon, additional, Provenza, Nicole R., additional, Sheth, Sameer A., additional, Fasano, Alfonso, additional, Holt-Becker, Abbey B., additional, Raike, Robert S., additional, Moore, Lisa, additional, Pathak, Yagna J., additional, Greene, David, additional, Marceglia, Sara, additional, Krinke, Lothar, additional, Tan, Huiling, additional, Bergman, Hagai, additional, Pötter-Nerger, Monika, additional, Sun, Bomin, additional, Cabrera, Laura Y., additional, McIntyre, Cameron C., additional, Harel, Noam, additional, Mayberg, Helen S., additional, Krystal, Andrew D., additional, Pouratian, Nader, additional, Starr, Philip A., additional, Foote, Kelly D., additional, Okun, Michael S., additional, and Wong, Joshua K., additional

Published
2024
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35. MRI economics: Balancing sample size and scan duration in brain wide association studies

Author

Ooi, Leon Qi Rong, primary, Orban, Csaba, additional, Nichols, Thomas, additional, Zhang, Shaoshi, additional, Tan, Trevor Wei Kiat, additional, Kong, Ru, additional, Marek, Scott, additional, Dosenbach, Nico U.F., additional, Laumann, Timothy O, additional, Gordon, Evan M, additional, Zhou, Juan Helen, additional, Bzdok, Danilo, additional, Eickhoff, Simon B, additional, Holmes, Avram J, additional, and Yeo, B.T. Thomas, additional

Published
2024
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36. Trait-like variants in human functional brain networks

Author

Seitzman, Benjamin A., Gratton, Caterina, Laumann, Timothy O., Gordon, Evan M., Adeyemo, Babatunde, Dworetsky, Ally, Kraus, Brian T., Gilmore, Adrian W., Berg, Jeffrey J., Ortega, Mario, Nguyen, Annie, Greene, Deanna J., McDermott, Kathleen B., Nelson, Steven M., Lessov-Schlaggar, Christina N., Schlaggar, Bradley L., Dosenbach, Nico U. F., and Petersen, Steven E.

Published
2019

38. 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

39. Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium

Author

MGGZ, Brain, Suarez-Jimenez, Benjamin, Lazarov, Amit, Zhu, Xi, Zilcha-Mano, Sigal, Kim, Yoojean, Marino, Claire E., Rjabtsenkov, Pavel, Bavdekar, Shreya Y., Pine, Daniel S., Bar-Haim, Yair, Larson, Christine L., Huggins, Ashley A., Terri deRoon-Cassini, deRoon-Cassini, Tomas, Carissa, Fitzgerald, Jacklynn, Kennis, Mitzy, Varkevisser, Tim, Geuze, Elbert, Quidé, Yann, El Hage, Wissam, Wang, Xin, O'Leary, Erin N., Cotton, Andrew S., Xie, Hong, Shih, Chiahao, Disner, Seth G., Davenport, Nicholas D., Sponheim, Scott R., Koch, Saskia B.J., Frijling, Jessie L., Nawijn, Laura, van Zuiden, Mirjam, Olff, Miranda, Veltman, Dick J., Gordon, Evan M., May, Geoffery, Nelson, Steven M., Jia-Richards, Meilin, Neria, Yuval, Morey, Rajendra A., MGGZ, Brain, Suarez-Jimenez, Benjamin, Lazarov, Amit, Zhu, Xi, Zilcha-Mano, Sigal, Kim, Yoojean, Marino, Claire E., Rjabtsenkov, Pavel, Bavdekar, Shreya Y., Pine, Daniel S., Bar-Haim, Yair, Larson, Christine L., Huggins, Ashley A., Terri deRoon-Cassini, deRoon-Cassini, Tomas, Carissa, Fitzgerald, Jacklynn, Kennis, Mitzy, Varkevisser, Tim, Geuze, Elbert, Quidé, Yann, El Hage, Wissam, Wang, Xin, O'Leary, Erin N., Cotton, Andrew S., Xie, Hong, Shih, Chiahao, Disner, Seth G., Davenport, Nicholas D., Sponheim, Scott R., Koch, Saskia B.J., Frijling, Jessie L., Nawijn, Laura, van Zuiden, Mirjam, Olff, Miranda, Veltman, Dick J., Gordon, Evan M., May, Geoffery, Nelson, Steven M., Jia-Richards, Meilin, Neria, Yuval, and Morey, Rajendra A.

Published
2024

44. Functional parcellation of the neonatal cortical surface

Author

Myers, Michael J, primary, Labonte, Alyssa K, additional, Gordon, Evan M, additional, Laumann, Timothy O, additional, Tu, Jiaxin C, additional, Wheelock, Muriah D, additional, Nielsen, Ashley N, additional, Schwarzlose, Rebecca F, additional, Camacho, M Catalina, additional, Alexopoulos, Dimitrios, additional, Warner, Barbara B, additional, Raghuraman, Nandini, additional, Luby, Joan L, additional, Barch, Deanna M, additional, Fair, Damien A, additional, Petersen, Steven E, additional, Rogers, Cynthia E, additional, Smyser, Christopher D, additional, and Sylvester, Chad M, additional

Published
2024
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45. Disuse-Driven Plasticity in the Human Thalamus and Putamen

Author

Chauvin, Roselyne J., primary, Newbold, Dillan J., additional, Ashley, Ashley N., additional, Miller, Ryland L., additional, Krimmel, Samuel R., additional, Metoki, Athanasia, additional, Wang, Anxu, additional, Wan, Andrew N., additional, Montez, David F., additional, Marek, Scott, additional, Suljic, Vahdeta, additional, Baden, Noah J., additional, Ramirez-Perez, Nadeshka, additional, Scheidter, Kristen M., additional, Monk, Julia S., additional, Whiting, Forrest I., additional, Adeyemo, Babatunde, additional, Snyder, Abraham Z., additional, Kay, Benjamin P., additional, Raichle, Marcus E., additional, Laumann, Timothy O., additional, Gordon, Evan M., additional, and Dosenbach, Nico U.F., additional

Published
2024
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46. Framewise multi-echo distortion correction for superior functional MRI

Author

Van, Andrew N., primary, Montez, David F., additional, Laumann, Timothy O., additional, Suljic, Vahdeta, additional, Madison, Thomas, additional, Baden, Noah J., additional, Ramirez-Perez, Nadeshka, additional, Scheidter, Kristen M., additional, Monk, Julia S., additional, Whiting, Forrest I., additional, Adeyemo, Babatunde, additional, Chauvin, Roselyne J., additional, Krimmel, Samuel R., additional, Metoki, Athanasia, additional, Rajesh, Aishwarya, additional, Roland, Jarod L., additional, Salo, Taylor, additional, Wang, Anxu, additional, Weldon, Kimberly B, additional, Sotiras, Aristeidis, additional, Shimony, Joshua S., additional, Kay, Benjamin P., additional, Nelson, Steven M., additional, Tervo-Clemmens, Brenden, additional, Marek, Scott A., additional, Vizioli, Luca, additional, Yacoub, Essa, additional, Satterthwaite, Theodore D., additional, Gordon, Evan M., additional, Fair, Damien A., additional, Tisdall, Dylan, additional, and Dosenbach, Nico U.F., additional

Published
2023
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47. 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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48. Functional parcellation of the neonatal brain

Author

Myers, Michael J, primary, Labonte, Alyssa K, additional, Gordon, Evan M, additional, Laumann, Timothy O, additional, Tu, Jiaxin Cindy, additional, Wheelock, Muriah D, additional, Nielsen, Ashley N, additional, Schwarzlose, Rebecca, additional, Camacho, M Catalina, additional, Warner, Barbara B, additional, Raghuraman, Nandini, additional, Luby, Joan L, additional, Barch, Deanna M, additional, Fair, Damien A, additional, Petersen, Steve E, additional, Rogers, Cynthia E, additional, Smyser, Christopher D, additional, and Sylvester, Chad M, additional

Published
2023
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49. Disuse-driven plasticity in the human thalamus and putamen

Author

Chauvin, Roselyne J., primary, Newbold, Dillan J., additional, Nielsen, Ashley N., additional, Miller, Ryland L., additional, Krimmel, Samuel R., additional, Metoki, Athanasia, additional, Wang, Anxu, additional, Van, Andrew N., additional, Montez, David F., additional, Suljic, Vahdeta, additional, Baden, Noah J., additional, Ramirez-Perez, Nadeshka, additional, Scheidter, Kristen M., additional, Monk, Julia S., additional, Whiting, Forrest I., additional, Adeyemo, Babatunde, additional, Kay, Benjamin P., additional, Laumann, Timothy O., additional, Gordon, Evan M., additional, and Dosenbach, Nico U.F., additional

Published
2023
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