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Ricard JA, Parker TC, Dhamala E, Kwasa J, Allsop A, Holmes AJ. Author Correction: Confronting racially exclusionary practices in the acquisition and analyses of neuroimaging data. Nat Neurosci 2023; 26:2251. [PMID: 37946051 DOI: 10.1038/s41593-023-01516-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Affiliation(s)
- J A Ricard
- Department of Psychology, Yale University, New Haven, CT, USA.
| | - T C Parker
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA.
| | - E Dhamala
- Department of Psychology, Yale University, New Haven, CT, USA
| | - J Kwasa
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA
| | - A Allsop
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - A J Holmes
- Department of Psychology, Yale University, New Haven, CT, USA
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
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Ricard JA, Labache L, Segal A, Dhamala E, Cocuzza CV, Jones G, Yip S, Chopra S, Holmes AJ. A shared spatial topography links the functional connectome correlates of cocaine use disorder and dopamine D 2/3 receptor densities. bioRxiv 2023:2023.11.17.567591. [PMID: 38045392 PMCID: PMC10690146 DOI: 10.1101/2023.11.17.567591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Background The biological mechanisms that contribute to cocaine and other substance use disorders involve an array of cortical and subcortical systems. Prior work on the development and maintenance of substance use has largely focused on cortico-striatal circuits, with relatively less attention on alterations within and across large-scale functional brain networks, and associated aspects of the dopamine system. The brain-wide pattern of temporal co-activation between distinct brain regions, referred to as the functional connectome, underpins individual differences in behavior. Critically, the functional connectome correlates of substance use and their specificity to dopamine receptor densities relative to other metabotropic receptors classes remains to be established. Methods We comprehensively characterized brain-wide differences in functional connectivity across multiple scales, including individual connections, regions, and networks in participants with cocaine use disorder (CUD; n=69) and healthy matched controls (n=62), Further, we studied the relationship between the observed functional connectivity signatures of CUD and the spatial distribution of a broad range of normative neurotransmitter receptor and transporter bindings as assessed through 18 different normative positron emission tomography (PET) maps. Results Our analyses identified a widespread profile of functional connectivity differences between individuals with CUD and matched healthy comparison participants (8.8% of total edges; 8,185 edges; p FWE =0.025). We largely find lower connectivity preferentially linking default network and subcortical regions, and higher within-network connectivity in the default network in participants with CUD. Furthermore, we find consistent and replicable associations between signatures of CUD and normative spatial density of dopamine D 2/3 receptors. Conclusions Our analyses revealed a widespread profile of altered connectivity in individuals with CUD that extends across the functional connectome and implicates multiple circuits. This profile is robustly coupled with normative dopamine D 2/3 receptors densities. Underscoring the translational potential of connectomic approaches for the study of in vivo brain functions, CUD- linked aspects of brain function were spatially coupled to disorder relevant neurotransmitter systems. Key Points Question: Are there group differences in whole brain functional connectivity between individuals with and without cocaine use disorder, and to what extent do these connectivity patterns relate to the spatial distribution of dopamine (D 2/3 ) receptor densities? Findings: The presence of cocaine use disorder is associated with brain-wide functional connectivity alterations that are spatially coupled to the density of dopamine (D 2/3 ) receptors. Meaning: A preferential and replicable link exists between the functional connectome correlates of cocaine use disorder and dopamine receptor densities across the brain.
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Dhamala E, Rong Ooi LQ, Chen J, Ricard JA, Berkeley E, Chopra S, Qu Y, Zhang XH, Lawhead C, Yeo BTT, Holmes AJ. Brain-Based Predictions of Psychiatric Illness-Linked Behaviors Across the Sexes. Biol Psychiatry 2023; 94:479-491. [PMID: 37031778 PMCID: PMC10524434 DOI: 10.1016/j.biopsych.2023.03.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 03/27/2023] [Accepted: 03/30/2023] [Indexed: 04/11/2023]
Abstract
BACKGROUND Individual differences in functional brain connectivity can be used to predict both the presence of psychiatric illness and variability in associated behaviors. However, despite evidence for sex differences in functional network connectivity and in the prevalence, presentation, and trajectory of psychiatric illnesses, the extent to which disorder-relevant aspects of network connectivity are shared or unique across the sexes remains to be determined. METHODS In this work, we used predictive modeling approaches to evaluate whether shared or unique functional connectivity correlates underlie the expression of psychiatric illness-linked behaviors in males and females in data from the Adolescent Brain Cognitive Development Study (N = 5260; 2571 females). RESULTS We demonstrate that functional connectivity profiles predict individual differences in externalizing behaviors in males and females but predict internalizing behaviors only in females. Furthermore, models trained to predict externalizing behaviors in males generalize to predict internalizing behaviors in females, and models trained to predict internalizing behaviors in females generalize to predict externalizing behaviors in males. Finally, the neurobiological correlates of many behaviors are largely shared within and across sexes: functional connections within and between heteromodal association networks, including default, limbic, control, and dorsal attention networks, are associated with internalizing and externalizing behaviors. CONCLUSIONS Taken together, these findings suggest that shared neurobiological patterns may manifest as distinct behaviors across the sexes. Based on these results, we recommend that both clinicians and researchers carefully consider how sex may influence the presentation of psychiatric illnesses, especially those along the internalizing-externalizing spectrum.
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Affiliation(s)
- Elvisha Dhamala
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, New York; Department of Psychology, Yale University, New Haven, Connecticut; Kavli Institute for Neuroscience, Yale University, New Haven, Connecticut.
| | - Leon Qi Rong Ooi
- Centre for Sleep and Cognition and Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore; Integrative Sciences and Engineering Programme, National University of Singapore, Singapore
| | - Jianzhong Chen
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore; N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore; Integrative Sciences and Engineering Programme, National University of Singapore, Singapore
| | - Jocelyn A Ricard
- Department of Psychology, Yale University, New Haven, Connecticut
| | | | - Sidhant Chopra
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Yueyue Qu
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Xi-Han Zhang
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Connor Lawhead
- Department of Psychology, Yale University, New Haven, Connecticut
| | - B T Thomas Yeo
- Centre for Sleep and Cognition and Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore; Integrative Sciences and Engineering Programme, National University of Singapore, Singapore; Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
| | - Avram J Holmes
- Department of Psychology, Yale University, New Haven, Connecticut; Kavli Institute for Neuroscience, Yale University, New Haven, Connecticut; Department of Psychiatry, Yale University, New Haven, Connecticut; Wu Tsai Institute, Yale University, New Haven, Connecticut; Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, New Jersey.
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Ricard JA, Parker TC, Dhamala E, Kwasa J, Allsop A, Holmes AJ. Confronting racially exclusionary practices in the acquisition and analyses of neuroimaging data. Nat Neurosci 2023; 26:4-11. [PMID: 36564545 DOI: 10.1038/s41593-022-01218-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 10/26/2022] [Indexed: 12/24/2022]
Abstract
Across the brain sciences, institutions and individuals have begun to actively acknowledge and address the presence of racism, bias, and associated barriers to inclusivity within our community. However, even with these recent calls to action, limited attention has been directed to inequities in the research methods and analytic approaches we use. The very process of science, including how we recruit, the methodologies we utilize and the analyses we conduct, can have marked downstream effects on the equity and generalizability of scientific discoveries across the global population. Despite our best intentions, the use of field-standard approaches can inadvertently exclude participants from engaging in research and yield biased brain-behavior relationships. To address these pressing issues, we discuss actionable ways and important questions to move the fields of neuroscience and psychology forward in designing better studies to address the history of exclusionary practices in human brain mapping.
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Affiliation(s)
- J A Ricard
- Department of Psychology, Yale University, New Haven, CT, USA.
| | - T C Parker
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA.
| | - E Dhamala
- Department of Psychology, Yale University, New Haven, CT, USA
| | - J Kwasa
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA
| | - A Allsop
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - A J Holmes
- Department of Psychology, Yale University, New Haven, CT, USA
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
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Abstract
INTRODUCTION 3,4-Methylenedioxymethamphetamine (MDMA/"ecstasy") is an empathogen that can give rise to increased pleasure and empathy and may effectively treat post-traumatic stress disorder. Although prior research has demonstrated associations between ecstasy use and favorable mental health outcomes, the associations between ecstasy and physical health have largely been unexplored. Thus, the goal of this study was to examine the associations between ecstasy use and physical health in a population-based survey sample. METHOD This study utilized data from the National Survey on Drug Use and Health (2005-2018), a yearly survey that collects information on substance use and health outcomes in a nationally representative sample of U.S. adults. We used multinomial, ordered, and logistic regression models to test the associations between lifetime ecstasy use and various markers of physical health (self-reported body mass index, overall health, past year heart condition and/or cancer, past year heart disease, past year hypertension, and past year diabetes), controlling for a range of potential confounders. RESULTS Lifetime ecstasy use was associated with significantly lower risk of self-reported overweightness and obesity (adjusted relative risk ratio range: 0.55-0.88) and lower odds of self-reported past year heart condition and/or cancer (adjusted odds ratio (aOR): 0.67), hypertension (aOR: 0.85), and diabetes (aOR: 0.58). Ecstasy use was also associated with significantly higher odds of better self-reported overall health (aOR: 1.18). CONCLUSION Ecstasy shares protective associations with various physical health markers. Future longitudinal studies and clinical trials are needed to more rigorously test these associations.
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Parker TC, Ricard JA. Structural racism in neuroimaging: perspectives and solutions. Lancet Psychiatry 2022; 9:e22. [PMID: 35430005 DOI: 10.1016/s2215-0366(22)00079-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 03/02/2022] [Accepted: 03/03/2022] [Indexed: 10/18/2022]
Affiliation(s)
- Termara C Parker
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA.
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Jones G, Ricard JA, Lipson J, Nock MK. Associations between classic psychedelics and opioid use disorder in a nationally-representative U.S. adult sample. Sci Rep 2022; 12:4099. [PMID: 35393455 PMCID: PMC8990065 DOI: 10.1038/s41598-022-08085-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 03/02/2022] [Indexed: 02/06/2023] Open
Abstract
Opioid use disorder (OUD) is a major source of morbidity and mortality in the U.S. and there is a pressing need to identify additional treatments for the disorder. Classic psychedelics (psilocybin, peyote, mescaline, LSD) have been linked to the alleviation of various substance use disorders and may hold promise as potential treatments for OUD. The aim of this study was to assess whether the aforementioned classic psychedelic substances conferred lowered odds of OUD. Furthermore, this study aimed to replicate and extend findings from Pisano et al. (2017) who found classic psychedelic use to be linked to lowered odds of OUD in a nationally representative sample. We used recent data from the National Survey on Drug Use and Health (2015–2019) (N = 214,505) and multivariable logistic regression to test whether lifetime use (yes/no) of classic psychedelics was associated with lowered odds of OUD. Lifetime psilocybin use was associated with lowered odds of OUD (aOR: 0.70; 95% CI [0.60, 0.83]). No other substances, including other classic psychedelics, were associated with lowered odds of OUD. Additionally, sensitivity analyses revealed psilocybin use to be associated with lowered odds of seven of the 11 DSM-IV criteria for OUD (aOR range: 0.66–0.83). Future clinical trials and longitudinal studies are needed to determine whether these associations are causal.
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Affiliation(s)
- Grant Jones
- Department of Psychology, Harvard University, 33 Kirkland St, Cambridge, MA, 02138, USA.
| | | | - Joshua Lipson
- Teachers College, Columbia University, New York, USA
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Williams JR, Meyer MR, Ricard JA, Sen R, Young CC, Feroze AH, Greil ME, Barros G, Durfy S, Hanak B, Morton RP, Temkin NR, Barber JK, Mac Donald CL, Chesnut RM. Re-examining decompressive craniectomy medial margin distance from midline as a metric for calculating the risk of post-traumatic hydrocephalus. J Clin Neurosci 2021; 87:125-131. [PMID: 33863519 DOI: 10.1016/j.jocn.2021.02.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 12/14/2020] [Accepted: 02/25/2021] [Indexed: 10/21/2022]
Abstract
Decompressive craniectomy (DC) is a life-saving procedure in severe traumatic brain injury, but is associated with higher rates of post-traumatic hydrocephalus (PTH). The relationship between the medial craniectomy margin's proximity to midline and frequency of developing PTH is controversial. The primary study objective was to determine whether average medial craniectomy margin distance from midline was closer to midline in patients who developed PTH after DC for severe TBI compared to patients that did not. The secondary objective was to determine if a threshold distance from midline could be identified, at which the risk of developing PTH increased if the DC was performed closer to midline than this threshold. A retrospective review was performed of 380 patients undergoing DC at a single institution between March 2004 and November 2014. Clinical, operative and demographic variables were collected, including age, sex, DC parameters and occurrence of PTH. Statistical analysis compared mean axial craniectomy margin distance from midline in patients with versus without PTH. Distances from midline were tested as potential thresholds. No significant difference was identified in mean axial craniectomy margin distance from midline in patients developing PTH compared with patients with no PTH (n = 24, 12.8 mm versus n = 356, 16.6 mm respectively, p = 0.086). No significant cutoff distance from midline was identified (n = 212, p = 0.201). This study, the largest to date, was unable to identify a threshold with sufficient discrimination to support clinical recommendations in terms of DC margins with regard to midline, including thresholds reportedly significant in previously published research.
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Affiliation(s)
- John R Williams
- Department of Neurological Surgery, University of Washington, 325 Ninth Ave, Box 359924, Seattle, WA 98104, USA.
| | - Michael R Meyer
- Department of Neurological Surgery, University of Washington, 325 Ninth Ave, Box 359924, Seattle, WA 98104, USA
| | - Jocelyn A Ricard
- University of Minnesota, 3 Morrill Hall, 100 Church St. S.E, Minneapolis, MN 55455, USA
| | - Rajeev Sen
- Department of Neurological Surgery, University of Washington, 325 Ninth Ave, Box 359924, Seattle, WA 98104, USA
| | - Christopher C Young
- Department of Neurological Surgery, University of Washington, 325 Ninth Ave, Box 359924, Seattle, WA 98104, USA
| | - Abdullah H Feroze
- Department of Neurosurgery, Loma Linda University Health, 11234 Anderson St., Suite 2562B, Loma Linda, CA 92354, USA
| | - Madeline E Greil
- Department of Neurological Surgery, University of Washington, 325 Ninth Ave, Box 359924, Seattle, WA 98104, USA
| | - Guilherme Barros
- Department of Neurological Surgery, University of Washington, 325 Ninth Ave, Box 359924, Seattle, WA 98104, USA
| | - Sharon Durfy
- Department of Neurological Surgery, University of Washington, 325 Ninth Ave, Box 359924, Seattle, WA 98104, USA
| | - Brian Hanak
- Department of Neurological Surgery, University of Washington, 325 Ninth Ave, Box 359924, Seattle, WA 98104, USA
| | - Ryan P Morton
- Department of Neurosurgery, University of Texas Health San Antonio, 7703 Floyd Curl Drive, MC 7843, San Antonio, TX 78229, USA
| | - Nancy R Temkin
- Department of Neurological Surgery, University of Washington, 325 Ninth Ave, Box 359924, Seattle, WA 98104, USA
| | - Jason K Barber
- Department of Neurological Surgery, University of Washington, 325 Ninth Ave, Box 359924, Seattle, WA 98104, USA
| | - Christine L Mac Donald
- Department of Neurological Surgery, University of Washington, 325 Ninth Ave, Box 359924, Seattle, WA 98104, USA
| | - Randall M Chesnut
- Department of Neurological Surgery, University of Washington, 325 Ninth Ave, Box 359924, Seattle, WA 98104, USA
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Ricard JA, Charles R, Tommee CG, Yohe S, Bell WR, Flanagan ME. Epstein Virus Barr-Positive Diffuse Large B-Cell Lymphoma Associated with Hemophagocytic Lymphohistiocytosis. J Neuropathol Exp Neurol 2021; 79:915-920. [PMID: 32647871 DOI: 10.1093/jnen/nlaa061] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Revised: 08/25/2019] [Accepted: 06/04/2020] [Indexed: 11/15/2022] Open
Abstract
Hemophagocytic lymphohistiocytosis (HLH) is a rare and often fatal disease if not diagnosed and treated promptly. HLH can be due to genetic factors or infections, malignancies and collagen-associated vascular diseases. Malignancy-associated HLH is not only more common in the setting of T/NK-cell lymphomas, but may also rarely be seen in the setting of B-cell lymphoma. Here, we describe a unique case of a patient who initially was diagnosed with HLH secondary to Epstein Barr virus (EBV) infection and subsequently developed EBV-positive diffuse large B-cell lymphoma affecting the brain. This case highlights the spectrum of findings associated with EBV infections and the challenges in diagnosing underlying diseases associated with HLH.
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Affiliation(s)
- Jocelyn A Ricard
- From the Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - River Charles
- From the Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Carolina Gil Tommee
- From the Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Sophia Yohe
- From the Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - W Robert Bell
- From the Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Margaret E Flanagan
- From the Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
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