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Vike NL, Bari S, Stefanopoulos L, Lalvani S, Kim BW, Maglaveras N, Block M, Breiter HC, Katsaggelos AK. Predicting COVID-19 Vaccination Uptake Using a Small and Interpretable Set of Judgment and Demographic Variables: Cross-Sectional Cognitive Science Study. JMIR Public Health Surveill 2024; 10:e47979. [PMID: 38315620 PMCID: PMC10953811 DOI: 10.2196/47979] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 08/08/2023] [Accepted: 01/10/2024] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Despite COVID-19 vaccine mandates, many chose to forgo vaccination, raising questions about the psychology underlying how judgment affects these choices. Research shows that reward and aversion judgments are important for vaccination choice; however, no studies have integrated such cognitive science with machine learning to predict COVID-19 vaccine uptake. OBJECTIVE This study aims to determine the predictive power of a small but interpretable set of judgment variables using 3 machine learning algorithms to predict COVID-19 vaccine uptake and interpret what profile of judgment variables was important for prediction. METHODS We surveyed 3476 adults across the United States in December 2021. Participants answered demographic, COVID-19 vaccine uptake (ie, whether participants were fully vaccinated), and COVID-19 precaution questions. Participants also completed a picture-rating task using images from the International Affective Picture System. Images were rated on a Likert-type scale to calibrate the degree of liking and disliking. Ratings were computationally modeled using relative preference theory to produce a set of graphs for each participant (minimum R2>0.8). In total, 15 judgment features were extracted from these graphs, 2 being analogous to risk and loss aversion from behavioral economics. These judgment variables, along with demographics, were compared between those who were fully vaccinated and those who were not. In total, 3 machine learning approaches (random forest, balanced random forest [BRF], and logistic regression) were used to test how well judgment, demographic, and COVID-19 precaution variables predicted vaccine uptake. Mediation and moderation were implemented to assess statistical mechanisms underlying successful prediction. RESULTS Age, income, marital status, employment status, ethnicity, educational level, and sex differed by vaccine uptake (Wilcoxon rank sum and chi-square P<.001). Most judgment variables also differed by vaccine uptake (Wilcoxon rank sum P<.05). A similar area under the receiver operating characteristic curve (AUROC) was achieved by the 3 machine learning frameworks, although random forest and logistic regression produced specificities between 30% and 38% (vs 74.2% for BRF), indicating a lower performance in predicting unvaccinated participants. BRF achieved high precision (87.8%) and AUROC (79%) with moderate to high accuracy (70.8%) and balanced recall (69.6%) and specificity (74.2%). It should be noted that, for BRF, the negative predictive value was <50% despite good specificity. For BRF and random forest, 63% to 75% of the feature importance came from the 15 judgment variables. Furthermore, age, income, and educational level mediated relationships between judgment variables and vaccine uptake. CONCLUSIONS The findings demonstrate the underlying importance of judgment variables for vaccine choice and uptake, suggesting that vaccine education and messaging might target varying judgment profiles to improve uptake. These methods could also be used to aid vaccine rollouts and health care preparedness by providing location-specific details (eg, identifying areas that may experience low vaccination and high hospitalization).
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Affiliation(s)
- Nicole L Vike
- Department of Computer Science, University of Cincinnati, Cincinnati, OH, United States
| | - Sumra Bari
- Department of Computer Science, University of Cincinnati, Cincinnati, OH, United States
| | - Leandros Stefanopoulos
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States
- School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Shamal Lalvani
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States
| | - Byoung Woo Kim
- Department of Computer Science, University of Cincinnati, Cincinnati, OH, United States
| | - Nicos Maglaveras
- School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Martin Block
- Integrated Marketing Communications, Medill School, Northwestern University, Evanston, IL, United States
| | - Hans C Breiter
- Department of Computer Science, University of Cincinnati, Cincinnati, OH, United States
- Department of Psychiatry, Massachusetts General Hospital, Harvard School of Medicine, Boston, MA, United States
| | - Aggelos K Katsaggelos
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States
- Department of Computer Science, Northwestern University, Evanston, IL, United States
- Department of Radiology, Northwestern University, Evanston, IL, United States
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Vike NL, Bari S, Kim BW, Katsaggelos AK, Blood AJ, Breiter HC. Characterizing major depressive disorder and substance use disorder using heatmaps and variable interactions: The utility of operant behavior and brain structure relationships. PLoS One 2024; 19:e0299528. [PMID: 38466739 PMCID: PMC10927130 DOI: 10.1371/journal.pone.0299528] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 02/02/2023] [Accepted: 02/13/2024] [Indexed: 03/13/2024] Open
Abstract
BACKGROUND Rates of depression and addiction have risen drastically over the past decade, but the lack of integrative techniques remains a barrier to accurate diagnoses of these mental illnesses. Changes in reward/aversion behavior and corresponding brain structures have been identified in those with major depressive disorder (MDD) and cocaine-dependence polysubstance abuse disorder (CD). Assessment of statistical interactions between computational behavior and brain structure may quantitatively segregate MDD and CD. METHODS Here, 111 participants [40 controls (CTRL), 25 MDD, 46 CD] underwent structural brain MRI and completed an operant keypress task to produce computational judgment metrics. Three analyses were performed: (1) linear regression to evaluate groupwise (CTRL v. MDD v. CD) differences in structure-behavior associations, (2) qualitative and quantitative heatmap assessment of structure-behavior association patterns, and (3) the k-nearest neighbor machine learning approach using brain structure and keypress variable inputs to discriminate groups. RESULTS This study yielded three primary findings. First, CTRL, MDD, and CD participants had distinct structure-behavior linear relationships, with only 7.8% of associations overlapping between any two groups. Second, the three groups had statistically distinct slopes and qualitatively distinct association patterns. Third, a machine learning approach could discriminate between CTRL and CD, but not MDD participants. CONCLUSIONS These findings demonstrate that variable interactions between computational behavior and brain structure, and the patterns of these interactions, segregate MDD and CD. This work raises the hypothesis that analysis of interactions between operant tasks and structural neuroimaging might aide in the objective classification of MDD, CD and other mental health conditions.
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Affiliation(s)
- Nicole L. Vike
- Department of Computer Science, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Sumra Bari
- Department of Computer Science, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Byoung Woo Kim
- Department of Computer Science, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Aggelos K. Katsaggelos
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, Illinois, United States of America
- Department of Computer Science, Northwestern University, Evanston, Illinois, United States of America
- Department of Radiology, Northwestern University, Chicago, Illinois, United States of America
| | - Anne J. Blood
- Department of Psychiatry, Mood and Motor Control Laboratory (MAML), Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Psychiatry, Laboratory of Neuroimaging and Genetics, Massachusetts General Hospital and Harvard School of Medicine, Boston, Massachusetts, United States of America
| | - Hans C. Breiter
- Department of Computer Science, University of Cincinnati, Cincinnati, Ohio, United States of America
- Department of Psychiatry, Mood and Motor Control Laboratory (MAML), Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Psychiatry, Laboratory of Neuroimaging and Genetics, Massachusetts General Hospital and Harvard School of Medicine, Boston, Massachusetts, United States of America
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, Ohio, United States of America
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Funk AT, Hassan AAO, Brüggemann N, Sharma N, Breiter HC, Blood AJ, Waugh JL. In humans, striato-pallido-thalamic projections are largely segregated by their origin in either the striosome-like or matrix-like compartments. Front Neurosci 2023; 17:1178473. [PMID: 37954873 PMCID: PMC10634229 DOI: 10.3389/fnins.2023.1178473] [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] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 09/04/2023] [Indexed: 11/14/2023] Open
Abstract
Cortico-striato-thalamo-cortical (CSTC) loops are fundamental organizing units in mammalian brains. CSTCs process limbic, associative, and sensorimotor information in largely separated but interacting networks. CTSC loops pass through paired striatal compartments, striosome (aka patch) and matrix, segregated pools of medium spiny projection neurons with distinct embryologic origins, cortical/subcortical structural connectivity, susceptibility to injury, and roles in behaviors and diseases. Similarly, striatal dopamine modulates activity in striosome and matrix in opposite directions. Routing CSTCs through one compartment may be an anatomical basis for regulating discrete functions. We used differential structural connectivity, identified through probabilistic diffusion tractography, to distinguish the striatal compartments (striosome-like and matrix-like voxels) in living humans. We then mapped compartment-specific projections and quantified structural connectivity between each striatal compartment, the globus pallidus interna (GPi), and 20 thalamic nuclei in 221 healthy adults. We found that striosome-originating and matrix-originating streamlines were segregated within the GPi: striosome-like connectivity was significantly more rostral, ventral, and medial. Striato-pallido-thalamic streamline bundles that were seeded from striosome-like and matrix-like voxels transited spatially distinct portions of the white matter. Matrix-like streamlines were 5.7-fold more likely to reach the GPi, replicating animal tract-tracing studies. Striosome-like connectivity dominated in six thalamic nuclei (anteroventral, central lateral, laterodorsal, lateral posterior, mediodorsal-medial, and medial geniculate). Matrix-like connectivity dominated in seven thalamic nuclei (centromedian, parafascicular, pulvinar-anterior, pulvinar-lateral, ventral lateral-anterior, ventral lateral-posterior, ventral posterolateral). Though we mapped all thalamic nuclei independently, functionally-related nuclei were matched for compartment-level bias. We validated these results with prior thalamostriate tract tracing studies in non-human primates and other species; where reliable data was available, all agreed with our measures of structural connectivity. Matrix-like connectivity was lateralized (left > right hemisphere) in 18 thalamic nuclei, independent of handedness, diffusion protocol, sex, or whether the nucleus was striosome-dominated or matrix-dominated. Compartment-specific biases in striato-pallido-thalamic structural connectivity suggest that routing CSTC loops through striosome-like or matrix-like voxels is a fundamental mechanism for organizing and regulating brain networks. Our MRI-based assessments of striato-thalamic connectivity in humans match and extend the results of prior tract tracing studies in animals. Compartment-level characterization may improve localization of human neuropathologies and improve neurosurgical targeting in the GPi and thalamus.
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Affiliation(s)
- Adrian T. Funk
- Division of Pediatric Neurology, Department of Pediatrics, University of Texas Southwestern, Dallas, TX, United States
| | - Asim A. O. Hassan
- Department of Natural Sciences and Mathematics, University of Texas at Dallas, Richardson, TX, United States
| | - Norbert Brüggemann
- Department of Neurology and Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Nutan Sharma
- Department of Neurology, Massachusetts General Hospital, Harvard University, Boston, MA, United States
| | - Hans C. Breiter
- Laboratory of Neuroimaging and Genetics, Massachusetts General Hospital, Charlestown, MA, United States
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Anne J. Blood
- Laboratory of Neuroimaging and Genetics, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Psychiatry, Massachusetts General Hospital, Harvard University, Boston, MA, United States
- Mood and Motor Control Laboratory, Massachusetts General Hospital, Charlestown, MA, United States
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - Jeff L. Waugh
- Division of Pediatric Neurology, Department of Pediatrics, University of Texas Southwestern, Dallas, TX, United States
- Mood and Motor Control Laboratory, Massachusetts General Hospital, Charlestown, MA, United States
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
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Kuster JK, Levenstein JM, Waugh J, Multhaupt-Buell TJ, Lee MJ, Kim BW, Pagnacco G, Makhlouf ML, Sudarsky LR, Breiter HC, Sharma N, Blood AJ. Sustained activation in basal ganglia and cerebellum after repetitive movement in a non-task-specific dystonia. bioRxiv 2023:2023.03.19.533030. [PMID: 36993354 PMCID: PMC10055227 DOI: 10.1101/2023.03.19.533030] [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: 03/31/2023]
Abstract
We previously observed sustained fMRI BOLD signal in the basal ganglia in focal hand dystonia patients after a repetitive finger tapping task. Since this was observed in a task-specific dystonia, for which excessive task repetition may play a role in pathogenesis, in the current study we asked if this effect would be observed in a focal dystonia (cervical dystonia [CD]) that is not considered task-specific or thought to result from overuse. We evaluated fMRI BOLD signal time courses before, during, and after the finger tapping task in CD patients. We observed patient/control differences in post-tapping BOLD signal in left putamen and left cerebellum during the non-dominant (left) hand tapping condition, reflecting abnormally sustained BOLD signal in CD. BOLD signals in left putamen and cerebellum were also abnormally elevated in CD during tapping itself and escalated as tapping was repeated. There were no cerebellar differences in the previously studied FHD cohort, either during or after tapping. We conclude that some elements of pathogenesis and/or pathophysiology associated with motor task execution/repetition may not be limited to task-specific dystonias, but there may be regional differences in these effects across dystonias, associated with different types of motor control programs.
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Vike NL, Bari S, Stetsiv K, Woodward S, Lalvani S, Stefanopoulos L, Kim BW, Maglaveras N, Kastaggelos AK, Breiter HC. A history of high-risk and destructive behaviors predict COVID-19 infection: A preliminary study. JMIR Form Res 2022; 7:e40821. [PMID: 36888554 PMCID: PMC10148215 DOI: 10.2196/40821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 12/09/2022] [Accepted: 12/12/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic has heightened mental health concerns, but the temporal relationship between these conditions and SARS-CoV-2 infection has not yet been investigated. Specifically, psychological issues, violent behaviors, and substance abuse problems were reported higher during the COVID-19 pandemic when compared to pre-pandemic levels. However, it is unknown whether a pre-pandemic history of these conditions increase an individual's susceptibility for SARS-CoV-2. OBJECTIVE To better understand the psychological risks underlying COVID-19, it is important to investigate how destructive and risky behaviors (related to externalizing behaviors, substance use, and crime and violence) may increase a person's susceptibility to COVID-19. METHODS Here, we analyzed data from a survey of 366 adults across the United States (ages 18-70); this survey was administered between February and March of 2021. Participants were asked to complete the Global Appraisal of Individual Needs-Short Screener (GAIN-SS) questionnaire which indicates a history of high-risk and destructive behaviors and high likelihood of meeting diagnostic criteria. The GAIN-SS includes seven questions related to externalizing behaviors, eight related to substance use issues, and five related to crime and violence. Responses were given on a temporal scale of "0" (never a given behavior) to "4" (experienced a behavior in the past month). Participants were also asked if they ever tested positive for COVID-19 and/or if they ever received a clinical diagnosis of COVID-19. GAIN-SS responses were compared between those reporting and not reporting COVID-19 to deduce if those reporting COVID-19 experienced GAIN-SS behaviors more recently (Wilcoxon Rank Sum test, α=0.05). Three hypotheses surrounding the temporal relationships between the recency of GAIN-SS behaviors to COVID-19 infection were tested using proportions tests (α=0.05). GAIN-SS behaviors that significantly differed (proportions tests, α=0.05) between COVID-19 responses were included as independent variables in multivariable logistic regression (MVLR) models with iterative downsampling. This was performed to assess how well a history of GAIN-SS behaviors statistically discriminated between those reporting, and not reporting, COVID-19. RESULTS Those reporting COVID-19 more frequently indicated past GAIN-SS behaviors (Q<.05). Further, the proportion of those reporting COVID-19 was higher (Q<.05) in those also reporting a history of GAIN-SS behaviors; specifically, gambling and selling drugs were common across the three proportion tests. MVLR revealed that GAIN-SS behaviors, particularly gambling, selling drugs, and attention problems, accurately modeled self-reported COVID-19 with model accuracies ranging from 77.42-99.55% ± 4.49-5.86%. That is, those that exhibited destructive and high-risk behaviors prior to, and during, the pandemic could be discriminated from those that did not exhibit these behaviors when modeling self-reported COVID-19. CONCLUSIONS Together, this preliminary study provides insight into how a history of destructive and risky behaviors influence infection susceptibility - offering possible explanations for why some persons may be more susceptible to COVID-19, potentially in relation to reduced adherence to prevention guidelines or seeking vaccination. CLINICALTRIAL
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Affiliation(s)
- Nicole L Vike
- Department of Computer Science, University of Cincinnati, 2901 Woodside Drive, Cincinnati, US
| | - Sumra Bari
- Department of Computer Science, University of Cincinnati, 2901 Woodside Drive, Cincinnati, US
| | - Khrystyna Stetsiv
- Department of Computer Science, University of Cincinnati, 2901 Woodside Drive, Cincinnati, US
| | - Sean Woodward
- Department of Computer Science, University of Cincinnati, 2901 Woodside Drive, Cincinnati, US
| | - Shamal Lalvani
- Department of Electrical Engineering, Northwestern University, Evanston, US
| | - Leandros Stefanopoulos
- Department of Electrical Engineering, Northwestern University, Evanston, US.,Laboratory of Medical Informatics, Aristotle University of Thessaloniki, Thessaloniki, GR
| | - Byoung Woo Kim
- Department of Computer Science, University of Cincinnati, 2901 Woodside Drive, Cincinnati, US
| | - Nicos Maglaveras
- Laboratory of Medical Informatics, Aristotle University of Thessaloniki, Thessaloniki, GR
| | - Aggelos K Kastaggelos
- Department of Electrical Engineering, Northwestern University, Evanston, US.,Department of Computer Science, Northwestern University, Evanston, US.,Department of Radiology, Northwestern University, Evanston, US
| | - Hans C Breiter
- Department of Computer Science, University of Cincinnati, 2901 Woodside Drive, Cincinnati, US.,Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard School of Medicine, Boston, US
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Wu Y, Besson P, Azcona EA, Bandt SK, Parrish TB, Breiter HC, Katsaggelos AK. A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction. Sci Rep 2022; 12:17760. [PMID: 36273036 PMCID: PMC9588039 DOI: 10.1038/s41598-022-22313-x] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 10/12/2022] [Indexed: 01/19/2023] Open
Abstract
The relationship of human brain structure to cognitive function is complex, and how this relationship differs between childhood and adulthood is poorly understood. One strong hypothesis suggests the cognitive function of Fluid Intelligence (Gf) is dependent on prefrontal cortex and parietal cortex. In this work, we developed a novel graph convolutional neural networks (gCNNs) for the analysis of localized anatomic shape and prediction of Gf. Morphologic information of the cortical ribbons and subcortical structures was extracted from T1-weighted MRIs within two independent cohorts, the Adolescent Brain Cognitive Development Study (ABCD; age: 9.93 ± 0.62 years) of children and the Human Connectome Project (HCP; age: 28.81 ± 3.70 years). Prediction combining cortical and subcortical surfaces together yielded the highest accuracy of Gf for both ABCD (R = 0.314) and HCP datasets (R = 0.454), outperforming the state-of-the-art prediction of Gf from any other brain measures in the literature. Across both datasets, the morphology of the amygdala, hippocampus, and nucleus accumbens, along with temporal, parietal and cingulate cortex consistently drove the prediction of Gf, suggesting a significant reframing of the relationship between brain morphology and Gf to include systems involved with reward/aversion processing, judgment and decision-making, motivation, and emotion.
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Affiliation(s)
- Yunan Wu
- Department of Electrical Computer Engineering, Northwestern University, Evanston, IL, USA.
| | - Pierre Besson
- grid.16753.360000 0001 2299 3507Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, IL USA
| | - Emanuel A. Azcona
- grid.16753.360000 0001 2299 3507Department of Electrical Computer Engineering, Northwestern University, Evanston, IL USA
| | - S. Kathleen Bandt
- grid.16753.360000 0001 2299 3507Department of Neurosurgery, Northwestern University, Feinberg School of Medicine, Chicago, IL USA
| | - Todd B. Parrish
- grid.16753.360000 0001 2299 3507Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, IL USA
| | - Hans C. Breiter
- grid.24827.3b0000 0001 2179 9593Departments of Computer Science and Biomedical Engineering, University of Cincinnati, Cincinnat, OH USA ,grid.32224.350000 0004 0386 9924Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard School of Medicine, Boston, MA USA
| | - Aggelos K. Katsaggelos
- grid.16753.360000 0001 2299 3507Department of Electrical Computer Engineering, Northwestern University, Evanston, IL USA ,grid.16753.360000 0001 2299 3507Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, IL USA ,grid.16753.360000 0001 2299 3507Department of Computer Science, Northwestern University, Evanston, IL USA
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Bari S, Vike NL, Stetsiv K, Woodward S, Lalvani S, Stefanopoulos L, Kim BW, Maglaveras N, Breiter HC, Katsaggelos AK. The Prevalence of Psychotic Symptoms, Violent Ideation, and Disruptive Behavior in a Population With SARS-CoV-2 Infection: Preliminary Study. JMIR Form Res 2022; 6:e36444. [PMID: 35763758 PMCID: PMC9384857 DOI: 10.2196/36444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 04/06/2022] [Accepted: 05/14/2022] [Indexed: 11/26/2022] Open
Abstract
Background The COVID-19 disease results from infection by the SARS-CoV-2 virus to produce a range of mild to severe physical, neurological, and mental health symptoms. The COVID-19 pandemic has indirectly caused significant emotional distress, triggering the emergence of mental health symptoms in individuals who were not previously affected or exacerbating symptoms in those with existing mental health conditions. Emotional distress and certain mental health conditions can lead to violent ideation and disruptive behavior, including aggression, threatening acts, deliberate harm toward other people or animals, and inattention to or noncompliance with education or workplace rules. Of the many mental health conditions that can be associated with violent ideation and disruptive behavior, psychosis can evidence greater vulnerability to unpredictable changes and being at a greater risk for them. Individuals with psychosis can also be more susceptible to contracting COVID-19 disease. Objective This study aimed to investigate whether violent ideation, disruptive behavior, or psychotic symptoms were more prevalent in a population with COVID-19 and did not precede the pandemic. Methods In this preliminary study, we analyzed questionnaire responses from a population sample (N=366), received between the end of February 2021 and the start of March 2021 (1 year into the COVID-19 pandemic), regarding COVID-19 illness, violent ideation, disruptive behavior, and psychotic symptoms. Using the Wilcoxon rank sum test followed by multiple comparisons correction, we compared the self-reported frequency of these variables for 3 time windows related to the past 1 month, past 1 month to 1 year, and >1 year ago among the distributions of people who answered whether they tested positive or were diagnosed with COVID-19 by a clinician. We also used multivariable logistic regression with iterative resampling to investigate the relationship between these variables occurring >1 year ago (ie, before the pandemic) and the likelihood of contracting COVID-19. Results We observed a significantly higher frequency of self-reported violent ideation, disruptive behavior, and psychotic symptoms, for all 3 time windows of people who tested positive or were diagnosed with COVID-19 by a clinician. Using multivariable logistic regression, we observed 72% to 94% model accuracy for an increased incidence of COVID-19 in participants who reported violent ideation, disruptive behavior, or psychotic symptoms >1 year ago. Conclusions This preliminary study found that people who reported a test or clinician diagnosis of COVID-19 also reported higher frequencies of violent ideation, disruptive behavior, or psychotic symptoms across multiple time windows, indicating that they were not likely to be the result of COVID-19. In parallel, participants who reported these behaviors >1 year ago (ie, before the pandemic) were more likely to be diagnosed with COVID-19, suggesting that violent ideation, disruptive behavior, in addition to psychotic symptoms, were associated with COVID-19 with an approximately 70% to 90% likelihood.
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Affiliation(s)
- Sumra Bari
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States
| | - Nicole L Vike
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States
| | - Khrystyna Stetsiv
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States
| | - Sean Woodward
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States
| | - Shamal Lalvani
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States
| | - Leandros Stefanopoulos
- Laboratory of Medical Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Byoung Woo Kim
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States
| | - Nicos Maglaveras
- Laboratory of Medical Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Hans C Breiter
- Laboratory of Neuroimaging and Genetics, Division of Psychiatric Neuroscience, Massachusetts General Hospital, Charlestown, MA, United States
| | - Aggelos K Katsaggelos
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States
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Vike NL, Bari S, Stetsiv K, Talavage TM, Nauman EA, Papa L, Slobounov S, Breiter HC, Cornelis MC. Metabolomic response to collegiate football participation: Pre- and Post-season analysis. Sci Rep 2022; 12:3091. [PMID: 35197541 PMCID: PMC8866500 DOI: 10.1038/s41598-022-07079-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 02/03/2022] [Indexed: 11/09/2022] Open
Abstract
Contact sports participation has been shown to have both beneficial and detrimental effects on health, however little is known about the metabolic sequelae of these effects. We aimed to identify metabolite alterations across a collegiate American football season. Serum was collected from 23 male collegiate football athletes before the athletic season (Pre) and after the last game (Post). Samples underwent nontargeted metabolomic profiling and 1131 metabolites were included for univariate, pathway enrichment, and multivariate analyses. Significant metabolites were assessed against head acceleration events (HAEs). 200 metabolites changed from Pre to Post (P < 0.05 and Q < 0.05); 160 had known identity and mapped to one of 57 pre-defined biological pathways. There was significant enrichment of metabolites belonging to five pathways (P < 0.05): xanthine, fatty acid (acyl choline), medium chain fatty acid, primary bile acid, and glycolysis, gluconeogenesis, and pyruvate metabolism. A set of 12 metabolites was sufficient to discriminate Pre from Post status, and changes in 64 of the 200 metabolites were also associated with HAEs (P < 0.05). In summary, the identified metabolites, and candidate pathways, argue there are metabolic consequences of both physical training and head impacts with football participation. These findings additionally identify a potential set of objective biomarkers of repetitive head injury.
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Affiliation(s)
- Nicole L Vike
- Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Sumra Bari
- Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Khrystyna Stetsiv
- Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Thomas M Talavage
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA
| | - Eric A Nauman
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA
- Department of Basic Medical Sciences, Purdue University, West Lafayette, IN, USA
| | - Linda Papa
- Department of Emergency Medicine, Orlando Regional Medical Center, Orlando, FL, USA
| | - Semyon Slobounov
- Department of Kinesiology, Pennsylvania State University, University Park, PA, USA.
| | - Hans C Breiter
- Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard School of Medicine, Boston, MA, USA
| | - Marilyn C Cornelis
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
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9
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Vike NL, Bari S, Stetsiv K, Walter A, Newman S, Kawata K, Bazarian JJ, Martinovich Z, Nauman EA, Talavage TM, Papa L, Slobounov SM, Breiter HC. A preliminary model of football-related neural stress that integrates metabolomics with transcriptomics and virtual reality. iScience 2022; 25:103483. [PMID: 35106455 PMCID: PMC8786649 DOI: 10.1016/j.isci.2021.103483] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 09/23/2021] [Accepted: 11/19/2021] [Indexed: 12/06/2022] Open
Abstract
Research suggests contact sports affect neurological health. This study used permutation-based mediation statistics to integrate measures of metabolomics, neuroinflammatory miRNAs, and virtual reality (VR)-based motor control to investigate multi-scale relationships across a season of collegiate American football. Fourteen significant mediations (six pre-season, eight across-season) were observed where metabolites always mediated the statistical relationship between miRNAs and VR-based motor control (pSobelperm≤ 0.05; total effect > 50%), suggesting a hypothesis that metabolites sit in the statistical pathway between transcriptome and behavior. Three results further supported a model of chronic neuroinflammation, consistent with mitochondrial dysfunction: (1) Mediating metabolites were consistently medium-to-long chain fatty acids, (2) tricarboxylic acid cycle metabolites decreased across-season, and (3) accumulated head acceleration events statistically moderated pre-season metabolite levels to directionally model post-season metabolite levels. These preliminary findings implicate potential mitochondrial dysfunction and highlight probable peripheral blood biomarkers underlying repetitive head impacts in otherwise healthy collegiate football athletes. Permutation-based mediation statistics can be applied to multi-scale biology problems Fatty acids were a critical link between elevated miRNAs and motor control HAEs interacted with pre-season metabolite levels to model post-season levels Together, our observations point to brain-related mitochondrial dysfunction
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Affiliation(s)
- Nicole L Vike
- Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Sumra Bari
- Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Khrystyna Stetsiv
- Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Alexa Walter
- Department of Kinesiology, Pennsylvania State University, University Park, PA 16801, USA
| | - Sharlene Newman
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
| | - Keisuke Kawata
- Department of Kinesiology, School of Public Health-Bloomington, Indiana University, Bloomington, IN 47405, USA.,Program in Neuroscience, College of Arts and Sciences, Indiana University, Bloomington, IN 47405, USA
| | - Jeffrey J Bazarian
- Department of Emergency Medicine, University of Rochester, Rochester, NY 14627, USA
| | - Zoran Martinovich
- Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Eric A Nauman
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA.,School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA.,Department of Basic Medical Sciences, Purdue University, West Lafayette, IN 47907, USA
| | - Thomas M Talavage
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA.,School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.,Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH 45221, USA
| | - Linda Papa
- Department of Emergency Medicine, Orlando Regional Medical Center, Orlando, FL 32806, USA
| | - Semyon M Slobounov
- Department of Kinesiology, Pennsylvania State University, University Park, PA 16801, USA
| | - Hans C Breiter
- Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.,Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard School of Medicine, Boston, MA 02114, USA
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10
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Gallagher VT, Murthy P, Stocks J, Vesci B, Mjaanes J, Chen Y, Breiter HC, LaBella C, Herrold AA, Reilly JL. Eye Movements Detect Differential Change after Participation in Male Collegiate Collision versus Non-Collision Sports. Neurotrauma Rep 2021; 2:440-452. [PMID: 34901940 PMCID: PMC8655805 DOI: 10.1089/neur.2021.0030] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Although neuroimaging studies of collision (COLL) sport athletes demonstrate alterations in brain structure and function from pre- to post-season, reliable tools to detect behavioral/cognitive change relevant to functional networks associated with participation in collision sports are lacking. This study evaluated the use of eye-movement testing to detect change in cognitive and sensorimotor processing among male club collegiate athletes after one season of participation in collision sports of variable exposure. We predicted that COLL (High Dose [hockey], n = 8; Low Dose [rugby], n = 9) would demonstrate longer reaction times (antisaccade and memory-guided saccade [MGS] latencies), increased inhibitory errors (antisaccade error rate), and poorer spatial working memory (MGS spatial accuracy) at post-season, relative to pre-season, whereas non-collision collegiate athletes (NON-COLL; n = 17) would remain stable. We also predicted that whereas eye-movement performance would detect pre- to post-season change, ImPACT (Immediate Post-Concussion Assessment and Cognitive Test) performance would remain stable. Our data showed that NON-COLL had shorter (improved performance) post- versus pre-season antisaccade and MGS latencies, whereas COLL groups showed stable, longer, or attenuated reduction in latency (ps ≤ 0.001). Groups did not differ in antisaccade error rate. On the MGS task, NON-COLL demonstrated improved spatial accuracy over time, whereas COLL groups showed reduced spatial accuracy (p < 0.05, uncorrected). No differential change was observed on ImPACT. This study provides preliminary evidence for eye-movement testing as a sensitive marker of subtle changes in attentional control and working memory resulting from participation in sports with varying levels of subconcussive exposure.
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Affiliation(s)
| | - Prianka Murthy
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jane Stocks
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Brian Vesci
- Department of Sports Medicine, Northwestern University, Evanston, Illinois, USA
| | - Jeffrey Mjaanes
- Department of Sports Medicine, Northwestern University, Evanston, Illinois, USA
| | - Yufen Chen
- Center for Translational Imaging, Northwestern University, Evanston, Illinois, USA
| | - Hans C Breiter
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Cynthia LaBella
- Division of Orthopedics and Sports Medicine, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Amy A Herrold
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - James L Reilly
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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11
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Waugh JL, Hassan A, Kuster JK, Levenstein JM, Warfield SK, Makris N, Brüggemann N, Sharma N, Breiter HC, Blood AJ. An MRI method for parcellating the human striatum into matrix and striosome compartments in vivo. Neuroimage 2021; 246:118714. [PMID: 34800665 PMCID: PMC9142299 DOI: 10.1016/j.neuroimage.2021.118714] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 11/02/2021] [Accepted: 11/05/2021] [Indexed: 11/19/2022] Open
Abstract
The mammalian striatum is comprised of intermingled tissue compartments, matrix and striosome. Though indistinguishable by routine histological techniques, matrix and striosome have distinct embryologic origins, afferent/efferent connections, surface protein expression, intra-striatal location, susceptibilities to injury, and functional roles in a range of animal behaviors. Distinguishing the compartments previously required post-mortem tissue and/or genetic manipulation; we aimed to identify matrix/striosome non-invasively in living humans. We used diffusion MRI (probabilistic tractography) to identify human striatal voxels with connectivity biased towards matrix-favoring or striosome-favoring regions (determined by prior animal tract-tracing studies). Segmented striatal compartments replicated the topological segregation and somatotopic organization identified in animal matrix/striosome studies. Of brain regions mapped in prior studies, our human brain data confirmed 93% of the compartment-selective structural connectivity demonstrated in animals. Test-retest assessment on repeat scans found a voxel classification error rate of 0.14%. Fractional anisotropy was significantly higher in matrix-like voxels, while mean diffusivity did not differ between the compartments. As mapped by the Talairach human brain atlas, 460 regions were significantly biased towards either matrix or striosome. Our method allows the study of striatal compartments in human health and disease, in vivo, for the first time.
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Affiliation(s)
- J L Waugh
- Division of Pediatric Neurology, Department of Pediatrics, University of Texas Southwestern, Dallas, TX, United States; Division of Child Neurology, University of Texas Southwestern, Dallas, TX, United States; Boston Children's Hospital, Harvard Medical School, Boston, MA, United States; Mood and Motor Control Laboratory, Boston, MA, United States; Martinos Center for Biomedical Imaging, United States; Massachusetts General Hospital, Charlestown, MA, United States.
| | - Aao Hassan
- Division of Pediatric Neurology, Department of Pediatrics, University of Texas Southwestern, Dallas, TX, United States
| | - J K Kuster
- Mood and Motor Control Laboratory, Boston, MA, United States; Laboratory of Neuroimaging and Genetics, United States; Martinos Center for Biomedical Imaging, United States; Rheumatology, Allergy and Immunology Section, Massachusetts General Hospital, Boston, MA, United States.
| | - J M Levenstein
- Mood and Motor Control Laboratory, Boston, MA, United States; Martinos Center for Biomedical Imaging, United States; Yale School of Medicine, New Haven, CN, United States; Wellcome Centre for Integrative Neuroimaging, National Institutes of Health, Bethesda, MD, United States.
| | - S K Warfield
- Department of Radiology, United States; Boston Children's Hospital, Harvard Medical School, Boston, MA, United States.
| | - N Makris
- Boston Children's Hospital, Harvard Medical School, Boston, MA, United States; Center for Morphometric Analysis, United States; Martinos Center for Biomedical Imaging, United States; Departments of Neurology and Psychiatry, Charlestown, MA, United States.
| | - N Brüggemann
- Department of Neurology, University of Oxford, Oxford, United Kingdom; Institute of Neurogenetics, University of Lübeck, Lübeck, Germany.
| | - N Sharma
- Boston Children's Hospital, Harvard Medical School, Boston, MA, United States; Massachusetts General Hospital, Charlestown, MA, United States.
| | - H C Breiter
- Laboratory of Neuroimaging and Genetics, United States; Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
| | - A J Blood
- Mood and Motor Control Laboratory, Boston, MA, United States; Laboratory of Neuroimaging and Genetics, United States; Martinos Center for Biomedical Imaging, United States; Departments of Neurology and Psychiatry, Charlestown, MA, United States.
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12
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Chen Y, Herrold AA, Gallagher V, Martinovich Z, Bari S, Vike NL, Vesci B, Mjaanes J, McCloskey LR, Reilly JL, Breiter HC. Preliminary Report: Localized Cerebral Blood Flow Mediates the Relationship between Progesterone and Perceived Stress Symptoms among Female Collegiate Club Athletes after Mild Traumatic Brain Injury. J Neurotrauma 2021; 38:1809-1820. [PMID: 33470158 PMCID: PMC8336258 DOI: 10.1089/neu.2020.7217] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Female athletes are under-studied in the field of concussion research, despite evidence of higher injury prevalence and longer recovery time. Hormonal fluctuations caused by the natural menstrual cycle (MC) or hormonal contraceptive (HC) use impact both post-injury symptoms and neuroimaging findings, but the relationships among hormone, symptoms, and brain-based measures have not been jointly considered in concussion studies. In this preliminary study, we compared cerebral blood flow (CBF) measured with arterial spin labeling between concussed female club athletes 3-10 days after mild traumatic brain injury (mTBI) and demographic, HC/MC matched controls (CON). We tested whether CBF statistically mediates the relationship between progesterone serum levels and post-injury symptoms, which may support a hypothesis for progesterone's role in neuroprotection. We found a significant three-way relationship among progesterone, CBF, and perceived stress score (PSS) in the left middle temporal gyrus for the mTBI group. Higher progesterone was associated with lower (more normative) PSS, as well as higher (more normative) CBF. CBF mediates 100% of the relationship between progesterone and PSS (Sobel p value = 0.017). These findings support a hypothesis for progesterone having a neuroprotective role after concussion and highlight the importance of controlling for the effects of sex hormones in future concussion studies.
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Affiliation(s)
- Yufen Chen
- Center for Translational Imaging, Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | | | - Virginia Gallagher
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Zoran Martinovich
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Sumra Bari
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Nicole L. Vike
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Brian Vesci
- Northwestern Health Services Sports Medicine, Northwestern University, Evanston, Illinois, USA
| | - Jeffrey Mjaanes
- Northwestern Health Services Sports Medicine, Northwestern University, Evanston, Illinois, USA
| | - Leanne R. McCloskey
- Department of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - James L. Reilly
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Hans C. Breiter
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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13
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Chen Y, Herrold AA, Walter AE, Reilly JL, Seidenberg PH, Nauman EA, Talavage T, Vandenbergh DJ, Slobounov SM, Breiter HC. Brain Perfusion Bridges Virtual-Reality Spatial Behavior to TPH2 Genotype for Head Acceleration Events. J Neurotrauma 2021; 38:1368-1376. [PMID: 33413020 DOI: 10.1089/neu.2020.7016] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Neuroimaging demonstrates that athletes of collision sports can suffer significant changes to their brain in the absence of concussion, attributable to head acceleration event (HAE) exposure. In a sample of 24 male Division I collegiate football players, we examine the relationships between tryptophan hydroxylase 2 (TPH2), a gene involved in neurovascular function, regional cerebral blood flow (rCBF) measured by arterial spin labeling, and virtual reality (VR) motor performance, both pre-season and across a single football season. For the pre-season, TPH2 T-carriers showed lower rCBF in two left hemisphere foci (fusiform gyrus/thalamus/hippocampus and cerebellum) in association with higher (better performance) VR Reaction Time, a dynamic measure of sensory-motor reactivity and efficiency of visual-spatial processing. For TPH2 CC homozygotes, higher pre-season rCBF in these foci was associated with better performance on VR Reaction Time. A similar relationship was observed across the season, where TPH2 T-carriers showed improved VR Reaction Time associated with decreases in rCBF in the right hippocampus/amygdala, left middle temporal lobe, and left insula/putamen/pallidum. In contrast, TPH2 CC homozygotes showed improved VR Reaction Time associated with increases in rCBF in the same three clusters. These findings show that TPH2 T-carriers have an abnormal relationship between rCBF and the efficiency of visual-spatial processing that is exacerbated after a season of high-impact sports in the absence of diagnosable concussion. Such gene-environment interactions associated with behavioral changes after exposure to repetitive HAEs have been unrecognized with current clinical analytical tools and warrant further investigation. Our results demonstrate the importance of considering neurovascular factors along with traumatic axonal injury to study long-term effects of repetitive HAEs.
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Affiliation(s)
- Yufen Chen
- Center for Translational Imaging, Department of Radiology, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Amy A Herrold
- Edward Hines Jr., VA Hospital, Research Service, Hines, Illinois, USA.,Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Alexa E Walter
- Department of Kinesiology, Pennsylvania State University, University Park, Pennsylvania, USA
| | - James L Reilly
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Peter H Seidenberg
- Departments of Orthopedics and Rehabilitation and Family and Community Medicine, College of Medicine, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Eric A Nauman
- School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA.,Department of Basic Medical Sciences, Purdue University, West Lafayette, Indiana, USA.,Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Thomas Talavage
- School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA.,Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA
| | - David J Vandenbergh
- Department of Biobehavioral Health, Pennsylvania State University, University Park, Pennsylvania, USA.,Penn State Neuroscience Institute, Pennsylvania State University, University Park, Pennsylvania, USA.,Molecular, Cellular, and Integrative Biosciences Program, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Semyon M Slobounov
- Department of Kinesiology, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Hans C Breiter
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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14
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Chen Y, Herrold AA, Martinovich Z, Bari S, Vike NL, Blood AJ, Walter AE, Harezlak J, Seidenberg PH, Bhomia M, Knollmann-Ritschel B, Stetsiv K, Reilly JL, Nauman EA, Talavage TM, Papa L, Slobounov S, Breiter HC. Brain Perfusion Mediates the Relationship Between miRNA Levels and Postural Control. Cereb Cortex Commun 2020; 1:tgaa078. [PMID: 34296137 PMCID: PMC8153038 DOI: 10.1093/texcom/tgaa078] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 09/09/2020] [Accepted: 10/04/2020] [Indexed: 12/13/2022] Open
Abstract
Transcriptomics, regional cerebral blood flow (rCBF), and a virtual reality-based spatial motor task were integrated using mediation analysis in a novel demonstration of “imaging omics.” Data collected in National Collegiate Athletic Association (NCAA) Division I football athletes cleared for play before in-season training showed significant relationships in 1) elevated levels of miR-30d and miR-92a to elevated putamen rCBF, 2) elevated putamen rCBF to compromised Balance scores, and 3) compromised Balance scores to elevated microRNA (miRNA) levels. rCBF acted as a consistent mediator variable (Sobel’s test P < 0.05) between abnormal miRNA levels and compromised Balance scores. Given the involvement of these miRNAs in inflammation and immune function and that vascular perfusion is a component of the inflammatory response, these findings support a chronic inflammatory model in these athletes with 11 years of average football exposure. rCBF, a systems biology measure, was necessary for miRNA to affect behavior.
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Affiliation(s)
- Yufen Chen
- Center for Translational Imaging, Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Amy A Herrold
- Edward Hines Jr., VA Hospital, Research Service, Hines, IL 60141, USA
| | - Zoran Martinovich
- Mental Health Services and Policy Program, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Sumra Bari
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Nicole L Vike
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Anne J Blood
- Mood and Motor Control Laboratory, Departments of Neurology and Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA
| | - Alexa E Walter
- Department of Kinesiology, Pennsylvania State University, University Park, PA 16802, USA
| | - Jaroslaw Harezlak
- Department of Epidemiology and Biostatistics, Indiana University, Bloomington, IN 47405, USA
| | - Peter H Seidenberg
- Departments of Orthopaedics & Rehabilitation and Family & Community Medicine, Penn State College of Medicine, Hershey, PA 17033, USA
| | - Manish Bhomia
- Department of Pathology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | | | - Khrystyna Stetsiv
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - James L Reilly
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Eric A Nauman
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA
| | - Thomas M Talavage
- School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA
| | - Linda Papa
- Department of Emergency Medicine, Orlando Regional Medical Center, Orlando, FL, USA
| | - Semyon Slobounov
- Department of Kinesiology, Pennsylvania State University, University Park, PA 16802, USA
| | - Hans C Breiter
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
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15
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Smith MJ, Alden EC, Herrold AA, Roberts A, Stern D, Jones J, Barnes A, O'Connor KP, Huestis MA, Breiter HC. Recent Self-Reported Cannabis Use Is Associated With the Biometrics of Delta-9-Tetrahydrocannabinol. J Stud Alcohol Drugs 2019; 79:441-446. [PMID: 29885152 DOI: 10.15288/jsad.2018.79.441] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE Research typically characterizes cannabis use by self-report of cannabis intake frequency. In an effort to better understand relationships between measures of cannabis use, we evaluated if Δ-9-tetrahydrocannabinol (THC) and metabolite concentrations (biometrics) were associated with a calibrated timeline followback (TLFB) assessment of cannabis use. METHOD Participants were 35 young adult male cannabis users who completed a calibrated TLFB measure of cannabis use over the past 30 days, including time of last use. The calibration required participants handling four plastic bags of a cannabis substitute (0.25, 0.5, 1.0, and 3.5 grams) to quantify cannabis consumed. Participants provided blood and urine samples for analysis of THC and metabolites, at two independent laboratories. Participants abstained from cannabis use on the day of sample collection. We tested Pearson correlations between the calibrated TLFB measures and cannabis biometrics. RESULTS Strong correlations were seen between urine and blood biometrics (all r > .73, all p < .001). TLFB measures of times of use and grams of cannabis consumed were significantly related to each biometric, including urine 11-nor-9-carboxy-Δ9-tetrahydrocannabinol (THCCOOH) and blood THC, 11-hydroxy-THC (11-OH-THC), THCCOOH, THCCOOH-glucuronide (times of use: r > .48-.61, all p < .05; grams: r > .40-.49, all p < .05). CONCLUSIONS This study extends prior work to show TLFB methods significantly relate to an extended array of cannabis biometrics. The calibration of cannabis intake in grams was associated with each biometric, although the simple TLFB measure of times of use produced the strongest relationships with all five biometrics. These findings suggest that combined self-report and biometric data together convey the complexity of cannabis use, but allow that either the use of calibrated TLFB measures or biometrics may be sufficient for assessment of cannabis use in research.
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Affiliation(s)
- Matthew J Smith
- School of Social Work, University of Michigan, Ann Arbor, Michigan.,Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Eva C Alden
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Amy A Herrold
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois.,Edward Hines Jr. Veterans Affairs Hospital, Research Service, Hines, Illinois
| | - Andrea Roberts
- Department of Psychology, University of Michigan, Ann Arbor, Michigan
| | - Dan Stern
- Department of Neuroscience, University of California-San Diego, La Jolla, California
| | - Joseph Jones
- United States Drug Testing Laboratories, Des Plaines, Illinois
| | - Allan Barnes
- Chemistry and Drug Metabolism, National Institute on Drug Abuse, Rockville, Maryland
| | - Kailyn P O'Connor
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Marilyn A Huestis
- Chemistry and Drug Metabolism, National Institute on Drug Abuse, Rockville, Maryland.,University of Maryland School of Medicine, Baltimore, Maryland
| | - Hans C Breiter
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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16
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Blood AJ, Kuster JK, Waugh JL, Levenstein JM, Multhaupt-Buell TJ, Sudarsky LR, Breiter HC, Sharma N. White Matter Changes in Cervical Dystonia Relate to Clinical Effectiveness of Botulinum Toxin Treatment. Front Neurol 2019; 10:265. [PMID: 31019484 PMCID: PMC6459077 DOI: 10.3389/fneur.2019.00265] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 02/27/2019] [Indexed: 12/27/2022] Open
Abstract
In a previous report showing white matter microstructural hemispheric asymmetries medial to the pallidum in focal dystonias, we showed preliminary evidence that this abnormality was reduced 4 weeks after botulinum toxin (BTX) injections. In the current study we report the completed treatment study in a full-size cohort of CD patients (n = 14). In addition to showing a shift toward normalization of the hemispheric asymmetry, we evaluated clinical relevance of these findings by relating white matter changes to degree of symptom improvement. We also evaluated whether the magnitude of the white matter asymmetry before treatment was related to severity, laterality, duration of dystonia, and/or number of previous BTX injections. Our results confirm the findings of our preliminary report: we observed significant fractional anisotropy (FA) changes medial to the pallidum 4 weeks after BTX in CD participants that were not observed in controls scanned at the same interval. There was a significant relationship between magnitude of hemispheric asymmetry and dystonia symptom improvement, as measured by percent reduction in dystonia scale scores. There was also a trend toward a relationship between magnitude of pre-injection white matter asymmetry and symptom severity, but not symptom laterality, disorder duration, or number of previous BTX injections. Post-hoc analyses suggested the FA changes at least partially reflected changes in pathophysiology, but a dissociation between patient perception of benefit from injections and FA changes suggested the changes did not reflect changes to the primary "driver" of the dystonia. In contrast, there were no changes or group differences in DTI diffusivity measures, suggesting the hemispheric asymmetry in CD does not reflect irreversible white matter tissue loss. These findings support the hypothesis that central nervous system white matter changes are involved in the mechanism by which BTX exerts clinical benefit.
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Affiliation(s)
- Anne J Blood
- Mood and Motor Control Laboratory, Massachusetts General Hospital (MGH), Charlestown, MA, United States.,Laboratory of Neuroimaging and Genetics, Massachusetts General Hospital, Charlestown, MA, United States.,Department of Neurology, Massachusetts General Hospital, Boston, MA, United States.,Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.,Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States.,Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - John K Kuster
- Mood and Motor Control Laboratory, Massachusetts General Hospital (MGH), Charlestown, MA, United States.,Laboratory of Neuroimaging and Genetics, Massachusetts General Hospital, Charlestown, MA, United States.,Department of Neurology, Massachusetts General Hospital, Boston, MA, United States.,Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.,Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - Jeff L Waugh
- Mood and Motor Control Laboratory, Massachusetts General Hospital (MGH), Charlestown, MA, United States.,Department of Neurology, Massachusetts General Hospital, Boston, MA, United States.,Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States.,Division of Child Neurology, Boston Children's Hospital, Boston, MA, United States.,Department of Neurology, Harvard Medical School, Boston, MA, United States
| | - Jacob M Levenstein
- Mood and Motor Control Laboratory, Massachusetts General Hospital (MGH), Charlestown, MA, United States.,Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.,Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | | | - Lewis R Sudarsky
- Department of Neurology, Harvard Medical School, Boston, MA, United States.,Department Neurology, Brigham and Women's Hospital, Boston, MA, United States
| | - Hans C Breiter
- Mood and Motor Control Laboratory, Massachusetts General Hospital (MGH), Charlestown, MA, United States.,Laboratory of Neuroimaging and Genetics, Massachusetts General Hospital, Charlestown, MA, United States.,Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.,Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States.,Department of Psychiatry, Harvard Medical School, Boston, MA, United States.,Department of Radiology, Massachusetts General Hospital, Boston, MA, United States.,Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Nutan Sharma
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States.,Department of Neurology, Harvard Medical School, Boston, MA, United States.,Department Neurology, Brigham and Women's Hospital, Boston, MA, United States
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17
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Walter A, Herrold AA, Gallagher VT, Lee R, Scaramuzzo M, Bream T, Seidenberg PH, Vandenbergh D, O'Connor K, Talavage TM, Nauman EA, Slobounov SM, Breiter HC. KIAA0319 Genotype Predicts the Number of Past Concussions in a Division I Football Team: A Pilot Study. J Neurotrauma 2019; 36:1115-1124. [DOI: 10.1089/neu.2017.5622] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Affiliation(s)
- Alexa Walter
- Department of Kinesiology, The Pennsylvania State University, University Park, Pennsylvania
- Concussion Neuroimaging Consortium, Florida State University, Florida; Harvard University, Massachusetts; Michigan State University, Michigan; Northwestern University, Illinois; Ohio State University, Ohio; Purdue University, Indiana; The Pennsylvania State University, Pennsylvania; University of Central Florida, Florida; University of Nebraska, Nebraska
| | - Amy A. Herrold
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Edward Hines Jr., VA Hospital, Hines, Illinois
- Concussion Neuroimaging Consortium, Florida State University, Florida; Harvard University, Massachusetts; Michigan State University, Michigan; Northwestern University, Illinois; Ohio State University, Ohio; Purdue University, Indiana; The Pennsylvania State University, Pennsylvania; University of Central Florida, Florida; University of Nebraska, Nebraska
| | - Virginia T. Gallagher
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Concussion Neuroimaging Consortium, Florida State University, Florida; Harvard University, Massachusetts; Michigan State University, Michigan; Northwestern University, Illinois; Ohio State University, Ohio; Purdue University, Indiana; The Pennsylvania State University, Pennsylvania; University of Central Florida, Florida; University of Nebraska, Nebraska
| | - Rosa Lee
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Concussion Neuroimaging Consortium, Florida State University, Florida; Harvard University, Massachusetts; Michigan State University, Michigan; Northwestern University, Illinois; Ohio State University, Ohio; Purdue University, Indiana; The Pennsylvania State University, Pennsylvania; University of Central Florida, Florida; University of Nebraska, Nebraska
| | - Madeleine Scaramuzzo
- Athletic Department, The Pennsylvania State University, University Park, Pennsylvania
| | - Tim Bream
- Athletic Department, The Pennsylvania State University, University Park, Pennsylvania
| | - Peter H. Seidenberg
- Athletic Department, The Pennsylvania State University, University Park, Pennsylvania
| | - David Vandenbergh
- Department of Biobehavioral Health, Molecular and Cellular Biosciences Program and Institute for the Neurosciences, The Pennsylvania State University, University Park, Pennsylvania
| | - Kailyn O'Connor
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Thomas M. Talavage
- School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana
- Concussion Neuroimaging Consortium, Florida State University, Florida; Harvard University, Massachusetts; Michigan State University, Michigan; Northwestern University, Illinois; Ohio State University, Ohio; Purdue University, Indiana; The Pennsylvania State University, Pennsylvania; University of Central Florida, Florida; University of Nebraska, Nebraska
| | - Eric A. Nauman
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana
- Concussion Neuroimaging Consortium, Florida State University, Florida; Harvard University, Massachusetts; Michigan State University, Michigan; Northwestern University, Illinois; Ohio State University, Ohio; Purdue University, Indiana; The Pennsylvania State University, Pennsylvania; University of Central Florida, Florida; University of Nebraska, Nebraska
| | - Semyon M. Slobounov
- Department of Kinesiology, The Pennsylvania State University, University Park, Pennsylvania
- Concussion Neuroimaging Consortium, Florida State University, Florida; Harvard University, Massachusetts; Michigan State University, Michigan; Northwestern University, Illinois; Ohio State University, Ohio; Purdue University, Indiana; The Pennsylvania State University, Pennsylvania; University of Central Florida, Florida; University of Nebraska, Nebraska
| | - Hans C. Breiter
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
- Concussion Neuroimaging Consortium, Florida State University, Florida; Harvard University, Massachusetts; Michigan State University, Michigan; Northwestern University, Illinois; Ohio State University, Ohio; Purdue University, Indiana; The Pennsylvania State University, Pennsylvania; University of Central Florida, Florida; University of Nebraska, Nebraska
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18
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Papa L, Slobounov SM, Breiter HC, Walter A, Bream T, Seidenberg P, Bailes JE, Bravo S, Johnson B, Kaufman D, Molfese DL, Talavage TM, Zhu DC, Knollmann-Ritschel B, Bhomia M. Elevations in MicroRNA Biomarkers in Serum Are Associated with Measures of Concussion, Neurocognitive Function, and Subconcussive Trauma over a Single National Collegiate Athletic Association Division I Season in Collegiate Football Players. J Neurotrauma 2018; 36:1343-1351. [PMID: 30343622 DOI: 10.1089/neu.2018.6072] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
This prospective controlled observational cohort study assessed the performance of a novel panel of serum microRNA (miRNA) biomarkers on indicators of concussion, subconcussive impacts, and neurocognitive function in collegiate football players over the playing season. Male collegiate student football athletes participating in a Division I Football Bowl Subdivision of the National Collegiate Athletic Association (NCAA) were enrolled. There were a total of 53 participants included in the study, 30 non-athlete control subjects and 23 male collegiate student football athletes. Neurocognitive assessments and blood samples were taken within the week before the athletic season began and within the week after the last game of the season and measured for a panel of pre-selected miRNA biomarkers. All the athletes had elevated levels of circulating miRNAs at the beginning of the season compared with control subjects (p < 0.001). Athletes with the lowest standard assessment of concussion (SAC) scores at the beginning of the season had the highest levels of miRNAs. The area under the curve (AUC) for predicting pre-season SAC scores were miR-195 (0.90), miR-20a (0.89), miR-151-5p (0.86), miR-505* (0.85), miR-9-3p (0.77), and miR-362-3p (0.76). In athletes with declining neurocognitive function over the season, concentrations of miRNAs increased over same period. There were significant negative correlations with miR-505* (p = 0.011), miR-30d (p = 0.007), miR-92 (p = 0.033), and (p = 0.008). The miRNAs correlating with balance problems were miR-505* (p = 0.007), miR-30d (p = 0.028), and miR-151-5p (p = 0.023). Those correlating with poor reaction times were miR-20a (0.043), miR-505* (p = 0.049), miR-30d (p = 0.031), miR-92 (p = 0.015), and miR-151-5p (p = 0.044). Select miRNAs were associated with baseline concussion assessments at the beginning of the season and with neurocognitive changes from pre to post-season in collegiate football players. Should these findings be replicated in a larger cohort of athletes, these markers could potentially serve as measures of neurocognitive status in athletes at risk for concussion and subconcussive injuries.
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Affiliation(s)
- Linda Papa
- 1 Department of Emergency Medicine, Orlando Regional Medical Center, Orlando, Florida.,2 Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Semyon M Slobounov
- 3 Department of Kinesiology, Pennsylvania State University, University Park, Pennsylvania
| | - Hans C Breiter
- 4 Department of Psychiatry and Behavioral Sciences, Warren Wright Adolescent Center, Northwestern University, Chicago, Illinois
| | - Alexa Walter
- 3 Department of Kinesiology, Pennsylvania State University, University Park, Pennsylvania
| | - Tim Bream
- 5 Athletic Department, Pennsylvania State University, University Park, Pennsylvania
| | - Peter Seidenberg
- 6 Department of Orthopaedics and Rehabilitation, Penn State College of Medicine, University Park, Pennsylvania.,7 Department of Family and Community Medicine, Penn State College of Medicine, University Park, Pennsylvania
| | - Julian E Bailes
- 8 Department of Neurosurgery, Northshore University Health System, University of Chicago Pritzker School of Medicine, Chicago, Illinois
| | | | - Brian Johnson
- 3 Department of Kinesiology, Pennsylvania State University, University Park, Pennsylvania
| | - David Kaufman
- 10 Department of Neurology and Ophthalmology, Michigan State University, East Lansing, Michigan
| | - Dennis L Molfese
- 11 Department of Psychology, University of Nebraska-Lincoln, Lincoln, Nebraska
| | - Thomas M Talavage
- 12 School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana
| | - David C Zhu
- 13 Department of Radiology and Psychology, Michigan State University, East Lansing, Michigan
| | | | - Manish Bhomia
- 14 Department of Pathology, Uniformed Services University of the Health Sciences, Bethesda, Maryland
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19
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Blood AJ, Waugh JL, Münte TF, Heldmann M, Domingo A, Klein C, Breiter HC, Lee LV, Rosales RL, Brüggemann N. Increased insula-putamen connectivity in X-linked dystonia-parkinsonism. Neuroimage Clin 2017. [PMID: 29527488 PMCID: PMC5842648 DOI: 10.1016/j.nicl.2017.10.025] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Preliminary evidence from postmortem studies of X-linked dystonia-parkinsonism (XDP) suggests tissue loss may occur first and/or most severely in the striatal striosome compartment, followed later by cell loss in the matrix compartment. However, little is known about how this relates to pathogenesis and pathophysiology. While MRI cannot visualize these striatal compartments directly in humans, differences in relative gradients of afferent cortical connectivity across compartments (weighted toward paralimbic versus sensorimotor cortex, respectively) can be used to infer potential selective loss in vivo. In the current study we evaluated relative connectivity of paralimbic versus sensorimotor cortex with the caudate and putamen in 17 individuals with XDP and 17 matched controls. Although caudate and putamen volumes were reduced in XDP, there were no significant reductions in either “matrix-weighted”, or “striosome-weighted” connectivity. In fact, paralimbic connectivity with the putamen was elevated, rather than reduced, in XDP. This was driven most strongly by elevated putamen connectivity with the anterior insula. There was no relationship of these findings to disease duration or striatal volume, suggesting insula and/or paralimbic connectivity in XDP may develop abnormally and/or increase in the years before symptom onset. Previous work suggested striosomes might degenerate preferentially in early XDP. We developed a DTI tractography method to assess striosome and matrix integrity. Striosomal afferents to putamen were elevated in XDP, despite reduced putamen volume. Connectivity was particularly elevated from the insula (two to three-fold). Striosome connectivity strength was not associated with disease duration.
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Affiliation(s)
- Anne J Blood
- Mood and Motor Control Laboratory, Massachusetts General Hospital (MGH), Charlestown, MA, USA; Laboratory of Neuroimaging and Genetics, MGH, Charlestown, MA, USA; Depts. of Neurology, MGH, Boston, MA, USA; Psychiatry, MGH, Boston, MA, USA; Martinos Center for Biomedical Imaging, Dept. of Radiology, MGH, Charlestown, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Jeff L Waugh
- Mood and Motor Control Laboratory, Massachusetts General Hospital (MGH), Charlestown, MA, USA; Depts. of Neurology, MGH, Boston, MA, USA; Martinos Center for Biomedical Imaging, Dept. of Radiology, MGH, Charlestown, MA, USA; Division of Child Neurology, Boston Children's Hospital, USA; Harvard Medical School, Boston, MA, USA
| | - Thomas F Münte
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - Marcus Heldmann
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - Aloysius Domingo
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Christine Klein
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Hans C Breiter
- Mood and Motor Control Laboratory, Massachusetts General Hospital (MGH), Charlestown, MA, USA; Laboratory of Neuroimaging and Genetics, MGH, Charlestown, MA, USA; Psychiatry, MGH, Boston, MA, USA; Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Lillian V Lee
- XDP Study Group, Philippine Children's Medical Center, Quezon City, Philippines
| | - Raymond L Rosales
- XDP Study Group, Philippine Children's Medical Center, Quezon City, Philippines; Department of Neurology and Psychiatry, Faculty of Medicine and Surgery, University of Santo Tomas, Manila, Philippines
| | - Norbert Brüggemann
- Department of Neurology, University of Lübeck, Lübeck, Germany; Institute of Neurogenetics, University of Lübeck, Lübeck, Germany.
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20
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Livengood SL, Sheppard JP, Kim BW, Malthouse EC, Bourne JE, Barlow AE, Lee MJ, Marin V, O'Connor KP, Csernansky JG, Block MP, Blood AJ, Breiter HC. Keypress-Based Musical Preference Is Both Individual and Lawful. Front Neurosci 2017; 11:136. [PMID: 28512395 PMCID: PMC5412065 DOI: 10.3389/fnins.2017.00136] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Accepted: 03/06/2017] [Indexed: 11/13/2022] Open
Abstract
Musical preference is highly individualized and is an area of active study to develop methods for its quantification. Recently, preference-based behavior, associated with activity in brain reward circuitry, has been shown to follow lawful, quantifiable patterns, despite broad variation across individuals. These patterns, observed using a keypress paradigm with visual stimuli, form the basis for relative preference theory (RPT). Here, we sought to determine if such patterns extend to non-visual domains (i.e., audition) and dynamic stimuli, potentially providing a method to supplement psychometric, physiological, and neuroimaging approaches to preference quantification. For this study, we adapted our keypress paradigm to two sets of stimuli consisting of seventeenth to twenty-first century western art music (Classical) and twentieth to twenty-first century jazz and popular music (Popular). We studied a pilot sample and then a separate primary experimental sample with this paradigm, and used iterative mathematical modeling to determine if RPT relationships were observed with high R2 fits. We further assessed the extent of heterogeneity in the rank ordering of keypress-based responses across subjects. As expected, individual rank orderings of preferences were quite heterogeneous, yet we observed mathematical patterns fitting these data similar to those observed previously with visual stimuli. These patterns in music preference were recurrent across two cohorts and two stimulus sets, and scaled between individual and group data, adhering to the requirements for lawfulness. Our findings suggest a general neuroscience framework that predicts human approach/avoidance behavior, while also allowing for individual differences and the broad diversity of human choices; the resulting framework may offer novel approaches to advancing music neuroscience, or its applications to medicine and recommendation systems.
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Affiliation(s)
- Sherri L Livengood
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern UniversityChicago, IL, USA.,Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA
| | - John P Sheppard
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern UniversityChicago, IL, USA.,Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA.,David Geffen School of Medicine, University of California, Los AngelesLos Angeles, CA, USA
| | - Byoung W Kim
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern UniversityChicago, IL, USA.,Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA.,Northwestern University and Massachusetts General Hospital Phenotype Genotype Project in Addiction and Mood DisordersBoston, MA, USA
| | - Edward C Malthouse
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA.,Medill Integrated Marketing Communications, Northwestern UniversityEvanston, IL, USA
| | - Janet E Bourne
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA.,Music Department, Bates CollegeLewiston, ME, USA
| | - Anne E Barlow
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA.,KV 265, The Communication of Science through ArtWillow Springs, IL, USA
| | - Myung J Lee
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern UniversityChicago, IL, USA.,Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA.,Northwestern University and Massachusetts General Hospital Phenotype Genotype Project in Addiction and Mood DisordersBoston, MA, USA
| | - Veronica Marin
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern UniversityChicago, IL, USA
| | - Kailyn P O'Connor
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern UniversityChicago, IL, USA
| | - John G Csernansky
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern UniversityChicago, IL, USA
| | - Martin P Block
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA.,Medill Integrated Marketing Communications, Northwestern UniversityEvanston, IL, USA
| | - Anne J Blood
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA.,Northwestern University and Massachusetts General Hospital Phenotype Genotype Project in Addiction and Mood DisordersBoston, MA, USA.,Mood and Motor Control Laboratory, Department of Psychiatry, Massachusetts General HospitalBoston, MA, USA.,Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General HospitalBoston, MA, USA.,Department of Neurology, Massachusetts General HospitalBoston, MA, USA
| | - Hans C Breiter
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern UniversityChicago, IL, USA.,Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA.,Northwestern University and Massachusetts General Hospital Phenotype Genotype Project in Addiction and Mood DisordersBoston, MA, USA.,Mood and Motor Control Laboratory, Department of Psychiatry, Massachusetts General HospitalBoston, MA, USA.,Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General HospitalBoston, MA, USA
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21
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Slobounov SM, Walter A, Breiter HC, Zhu DC, Bai X, Bream T, Seidenberg P, Mao X, Johnson B, Talavage TM. The effect of repetitive subconcussive collisions on brain integrity in collegiate football players over a single football season: A multi-modal neuroimaging study. Neuroimage Clin 2017; 14:708-718. [PMID: 28393012 PMCID: PMC5377433 DOI: 10.1016/j.nicl.2017.03.006] [Citation(s) in RCA: 106] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 03/17/2017] [Accepted: 03/19/2017] [Indexed: 01/14/2023]
Abstract
The cumulative effect of repetitive subconcussive collisions on the structural and functional integrity of the brain remains largely unknown. Athletes in collision sports, like football, experience a large number of impacts across a single season of play. The majority of these impacts, however, are generally overlooked, and their long-term consequences remain poorly understood. This study sought to examine the effects of repetitive collisions across a single competitive season in NCAA Football Bowl Subdivision athletes using advanced neuroimaging approaches. Players were evaluated before and after the season using multiple MRI sequences, including T1-weighted imaging, diffusion tensor imaging (DTI), arterial spin labeling (ASL), resting-state functional MRI (rs-fMRI), and susceptibility weighted imaging (SWI). While no significant differences were found between pre- and post-season for DTI metrics or cortical volumes, seed-based analysis of rs-fMRI revealed significant (p < 0.05) changes in functional connections to right isthmus of the cingulate cortex (ICC), left ICC, and left hippocampus. ASL data revealed significant (p < 0.05) increases in global cerebral blood flow (CBF), with a specific regional increase in right postcentral gyrus. SWI data revealed that 44% of the players exhibited outlier rates (p < 0.05) of regional decreases in SWI signal. Of key interest, athletes in whom changes in rs-fMRI, CBF and SWI were observed were more likely to have experienced high G impacts on a daily basis. These findings are indicative of potential pathophysiological changes in brain integrity arising from only a single season of participation in the NCAA Football Bowl Subdivision, even in the absence of clinical symptoms or a diagnosis of concussion. Whether these changes reflect compensatory adaptation to cumulative head impacts or more lasting alteration of brain integrity remains to be further explored.
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Affiliation(s)
- Semyon M. Slobounov
- Concussion Neuroimaging Consortium, Department of Kinesiology, The Pennsylvania State University, University Park, PA 16802, United States
| | - Alexa Walter
- Department of Kinesiology, The Pennsylvania State University, University Park, PA 16802, United States
- Corresponding author: 25 Recreation Hall University Park, PA 16802, United States.25 Recreation Hall University ParkPA16802United States
| | - Hans C. Breiter
- Concussion Neuroimaging Consortium, Department of Psychiatry and Behavioral Sciences, Northwestern University, Evanston, IL 60208, United States
| | - David C. Zhu
- Concussion Neuroimaging Consortium, Department of Radiology and Psychology, Michigan State University, East Lansing, MI 48824, United States
| | - Xiaoxiao Bai
- Social, Life, and Engineering Sciences Imaging Center, The Pennsylvania State University, University Park, PA 16802, United States
| | - Tim Bream
- Athletic Department, The Pennsylvania State University, University Park, PA 16802, United States
| | - Peter Seidenberg
- Athletic Department, The Pennsylvania State University, University Park, PA 16802, United States
| | - Xianglun Mao
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, United States
| | - Brian Johnson
- Department of Kinesiology, The Pennsylvania State University, University Park, PA 16802, United States
| | - Thomas M. Talavage
- Concussion Neuroimaging Consortium, School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, United States
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22
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Viswanathan V, Sheppard JP, Kim BW, Plantz CL, Ying H, Lee MJ, Raman K, Mulhern FJ, Block MP, Calder B, Lee S, Mortensen DT, Blood AJ, Breiter HC. A Quantitative Relationship between Signal Detection in Attention and Approach/Avoidance Behavior. Front Psychol 2017; 8:122. [PMID: 28270776 PMCID: PMC5318395 DOI: 10.3389/fpsyg.2017.00122] [Citation(s) in RCA: 5] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Accepted: 01/17/2017] [Indexed: 11/13/2022] Open
Abstract
This study examines how the domains of reward and attention, which are often studied as independent processes, in fact interact at a systems level. We operationalize divided attention with a continuous performance task and variables from signal detection theory (SDT), and reward/aversion with a keypress task measuring approach/avoidance in the framework of relative preference theory (RPT). Independent experiments with the same subjects showed a significant association between one SDT and two RPT variables, visualized as a three-dimensional structure. Holding one of these three variables constant, further showed a significant relationship between a loss aversion-like metric from the approach/avoidance task, and the response bias observed during the divided attention task. These results indicate that a more liberal response bias under signal detection (i.e., a higher tolerance for noise, resulting in a greater proportion of false alarms) is associated with higher "loss aversion." Furthermore, our functional model suggests a mechanism for processing constraints with divided attention and reward/aversion. Together, our results argue for a systematic relationship between divided attention and reward/aversion processing in humans.
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Affiliation(s)
- Vijay Viswanathan
- Medill Integrated Marketing Communications, Northwestern UniversityEvanston, IL, USA; Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA
| | - John P Sheppard
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA; Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of MedicineChicago, IL, USA
| | - Byoung W Kim
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA; Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of MedicineChicago, IL, USA; Laboratory of Neuroimaging and Genetics, and Mood and Motor Control Laboratory, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical SchoolBoston, MA, USA; MGH Center for Translational Research in Prescription Drug Abuse, Department of Anesthesia, Massachusetts General Hospital and Harvard Medical SchoolBoston, MA, USA; Northwestern University and Massachusetts General Hospital Phenotype Genotype Project in Addiction and Mood DisordersChicago, IL, USA
| | - Christopher L Plantz
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign Urbana, IL, USA
| | - Hao Ying
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA; Department of Electrical Engineering, Wayne State UniversityDetroit, MI, USA
| | - Myung J Lee
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA; Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of MedicineChicago, IL, USA; Laboratory of Neuroimaging and Genetics, and Mood and Motor Control Laboratory, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical SchoolBoston, MA, USA; MGH Center for Translational Research in Prescription Drug Abuse, Department of Anesthesia, Massachusetts General Hospital and Harvard Medical SchoolBoston, MA, USA; Northwestern University and Massachusetts General Hospital Phenotype Genotype Project in Addiction and Mood DisordersChicago, IL, USA
| | - Kalyan Raman
- Medill Integrated Marketing Communications, Northwestern UniversityEvanston, IL, USA; Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA
| | - Frank J Mulhern
- Medill Integrated Marketing Communications, Northwestern UniversityEvanston, IL, USA; Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA
| | - Martin P Block
- Medill Integrated Marketing Communications, Northwestern UniversityEvanston, IL, USA; Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA
| | - Bobby Calder
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA; Department of Marketing, Kellogg School of Management, Northwestern UniversityEvanston, IL, USA
| | - Sang Lee
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA; Laboratory of Neuroimaging and Genetics, and Mood and Motor Control Laboratory, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical SchoolBoston, MA, USA; MGH Center for Translational Research in Prescription Drug Abuse, Department of Anesthesia, Massachusetts General Hospital and Harvard Medical SchoolBoston, MA, USA; Northwestern University and Massachusetts General Hospital Phenotype Genotype Project in Addiction and Mood DisordersChicago, IL, USA
| | - Dale T Mortensen
- Department of Economics, Northwestern University College of Arts and Sciences Evanston, IL, USA
| | - Anne J Blood
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA; Laboratory of Neuroimaging and Genetics, and Mood and Motor Control Laboratory, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical SchoolBoston, MA, USA; MGH Center for Translational Research in Prescription Drug Abuse, Department of Anesthesia, Massachusetts General Hospital and Harvard Medical SchoolBoston, MA, USA; Northwestern University and Massachusetts General Hospital Phenotype Genotype Project in Addiction and Mood DisordersChicago, IL, USA
| | - Hans C Breiter
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern UniversityEvanston, IL, USA; Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of MedicineChicago, IL, USA; Laboratory of Neuroimaging and Genetics, and Mood and Motor Control Laboratory, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical SchoolBoston, MA, USA; MGH Center for Translational Research in Prescription Drug Abuse, Department of Anesthesia, Massachusetts General Hospital and Harvard Medical SchoolBoston, MA, USA; Northwestern University and Massachusetts General Hospital Phenotype Genotype Project in Addiction and Mood DisordersChicago, IL, USA
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Waugh JL, Kuster JK, Levenstein JM, Makris N, Multhaupt-Buell TJ, Sudarsky LR, Breiter HC, Sharma N, Blood AJ. Thalamic Volume Is Reduced in Cervical and Laryngeal Dystonias. PLoS One 2016; 11:e0155302. [PMID: 27171035 PMCID: PMC4865047 DOI: 10.1371/journal.pone.0155302] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Accepted: 04/27/2016] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Dystonia, a debilitating movement disorder characterized by abnormal fixed positions and/or twisting postures, is associated with dysfunction of motor control networks. While gross brain lesions can produce secondary dystonias, advanced neuroimaging techniques have been required to identify network abnormalities in primary dystonias. Prior neuroimaging studies have provided valuable insights into the pathophysiology of dystonia, but few directly assessed the gross volume of motor control regions, and to our knowledge, none identified abnormalities common to multiple types of idiopathic focal dystonia. METHODS We used two gross volumetric segmentation techniques and one voxelwise volumetric technique (voxel based morphometry, VBM) to compare regional volume between matched healthy controls and patients with idiopathic primary focal dystonia (cervical, n = 17, laryngeal, n = 7). We used (1) automated gross volume measures of eight motor control regions using the FreeSurfer analysis package; (2) blinded, anatomist-supervised manual segmentation of the whole thalamus (also gross volume); and (3) voxel based morphometry, which measures local T1-weighted signal intensity and estimates gray matter density or volume at the level of single voxels, for both whole-brain and thalamus. RESULTS Using both automated and manual gross volumetry, we found a significant volume decrease only in the thalamus in two focal dystonias. Decreases in whole-thalamic volume were independent of head and brain size, laterality of symptoms, and duration. VBM measures did not differ between dystonia and control groups in any motor control region. CONCLUSIONS Reduced thalamic gross volume, detected in two independent analyses, suggests a common anatomical abnormality in cervical dystonia and spasmodic dysphonia. Defining the structural underpinnings of dystonia may require such complementary approaches.
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Affiliation(s)
- Jeff L. Waugh
- Mood and Motor Control Laboratory, Massachusetts General Hospital, Charlestown, MA, United States of America
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States of America
- Division of Child Neurology, Boston Children’s Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
- Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, United States of America
- * E-mail:
| | - John K. Kuster
- Mood and Motor Control Laboratory, Massachusetts General Hospital, Charlestown, MA, United States of America
- Laboratory of Neuroimaging and Genetics, Massachusetts General Hospital, Charlestown, MA, United States of America
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States of America
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States of America
- Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, United States of America
| | - Jacob M. Levenstein
- Mood and Motor Control Laboratory, Massachusetts General Hospital, Charlestown, MA, United States of America
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States of America
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States of America
- Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, United States of America
| | - Nikos Makris
- Center for Morphometric Analysis, Massachusetts General Hospital, Charlestown, MA, United States of America
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States of America
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
- Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, United States of America
| | | | - Lewis R. Sudarsky
- Department of Neurology, Brigham and Women’s Hospital, Boston MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
| | - Hans C. Breiter
- Mood and Motor Control Laboratory, Massachusetts General Hospital, Charlestown, MA, United States of America
- Laboratory of Neuroimaging and Genetics, Massachusetts General Hospital, Charlestown, MA, United States of America
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
- Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, United States of America
| | - Nutan Sharma
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States of America
- Department of Neurology, Brigham and Women’s Hospital, Boston MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
| | - Anne J. Blood
- Mood and Motor Control Laboratory, Massachusetts General Hospital, Charlestown, MA, United States of America
- Laboratory of Neuroimaging and Genetics, Massachusetts General Hospital, Charlestown, MA, United States of America
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States of America
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
- Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, United States of America
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Gilman JM, Lee S, Kuster JK, Lee MJ, Kim BW, van der Kouwe A, Blood AJ, Breiter HC. Variable activation in striatal subregions across components of a social influence task in young adult cannabis users. Brain Behav 2016; 6:e00459. [PMID: 27257518 PMCID: PMC4873656 DOI: 10.1002/brb3.459] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2015] [Revised: 01/27/2016] [Accepted: 02/28/2016] [Indexed: 01/28/2023] Open
Abstract
INTRODUCTION Decades of research have demonstrated the importance of social influence in initiation and maintenance of drug use, but little is known about neural mechanisms underlying social influence in young adults who use recreational drugs. METHODS To better understand whether the neural and/or behavioral response to social influence differs in young adults using illicit drugs, 20 marijuana-using young adults (MJ) aged 18-25, and 20 controls (CON) performed a decision-making task in the context of social influence, while they underwent functional magnetic resonance imaging scans. A priori analyses focused on the nucleus accumbens (NAc), with post hoc analyses in the rest of the striatum. In this task, participants could choose to either follow or go against group influence. RESULTS When subjects applied social information to response choice selection (independent of following or going against group influence), we observed activation in the middle striatum (caudate), in the MJ group only, that extended ventrally into the NAc. MJ users but not CON showed greater activation in the NAc but not the caudate while making choices congruent with group influence as opposed to choices going against group influence. Activation in the NAc when following social influence was associated with amount of drug use reported. In contrast, during the feedback phase of the task we observed significant NAc activation in both MJ and CON, along with dorsal caudate activation only in MJ participants. This NAc activation did not correlate with drug use. CONCLUSIONS This study shows that MJ users, but not CON, show differential brain activation across striatal subregions when applying social information to make a decision, following versus going against a group of peers, or receiving positive feedback. The current work suggests that differential neural sensitivity to social influence in regions such as the striatum may contribute to the development and/or maintenance of marijuana use.
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Affiliation(s)
- Jodi M Gilman
- Laboratory of Neuroimaging and Genetics Department of Psychiatry Massachusetts General Hospital (MGH) Charlestown Massachusetts 02129; Athinoula A. Martinos Center in Biomedical Imaging Department of Radiology Massachusetts General Hospital Charlestown Massachusetts 02129; Harvard Medical School Boston Massachusetts 02115
| | - Sang Lee
- Laboratory of Neuroimaging and Genetics Department of Psychiatry Massachusetts General Hospital (MGH) Charlestown Massachusetts 02129
| | - John K Kuster
- Laboratory of Neuroimaging and Genetics Department of Psychiatry Massachusetts General Hospital (MGH) Charlestown Massachusetts 02129; Mood and Motor Control Laboratory Massachusetts General Hospital Charlestown Massachusetts 02129
| | - Myung Joo Lee
- Laboratory of Neuroimaging and Genetics Department of Psychiatry Massachusetts General Hospital (MGH) Charlestown Massachusetts 02129; Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences Northwestern University Feinberg School of Medicine Chicago Illinois 06011
| | - Byoung Woo Kim
- Laboratory of Neuroimaging and Genetics Department of Psychiatry Massachusetts General Hospital (MGH) Charlestown Massachusetts 02129; Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences Northwestern University Feinberg School of Medicine Chicago Illinois 06011
| | - Andre van der Kouwe
- Athinoula A. Martinos Center in Biomedical Imaging Department of Radiology Massachusetts General Hospital Charlestown Massachusetts 02129; Harvard Medical School Boston Massachusetts 02115; Laboratory for Computational Neuroimaging Department of Radiology Massachusetts General Hospital Charlestown Massachusetts 02129
| | - Anne J Blood
- Laboratory of Neuroimaging and Genetics Department of Psychiatry Massachusetts General Hospital (MGH) Charlestown Massachusetts 02129; Athinoula A. Martinos Center in Biomedical Imaging Department of Radiology Massachusetts General Hospital Charlestown Massachusetts 02129; Harvard Medical School Boston Massachusetts 02115; Mood and Motor Control Laboratory Massachusetts General Hospital Charlestown Massachusetts 02129
| | - Hans C Breiter
- Laboratory of Neuroimaging and Genetics Department of Psychiatry Massachusetts General Hospital (MGH) Charlestown Massachusetts 02129; Athinoula A. Martinos Center in Biomedical Imaging Department of Radiology Massachusetts General Hospital Charlestown Massachusetts 02129; Harvard Medical School Boston Massachusetts 02115; Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences Northwestern University Feinberg School of Medicine Chicago Illinois 06011; Mood and Motor Control Laboratory Massachusetts General Hospital Charlestown Massachusetts 02129
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Herrold AA, Sander AM, Wilson KV, Scimeca LM, Cobia DJ, Breiter HC. Dual Diagnosis of Traumatic Brain Injury and Alcohol Use Disorder: Characterizing Clinical and Neurobiological Underpinnings. Curr Addict Rep 2015. [DOI: 10.1007/s40429-015-0078-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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26
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Lee S, Lee MJ, Kim BW, Gilman JM, Kuster JK, Blood AJ, Kuhnen CM, Breiter HC. The Commonality of Loss Aversion across Procedures and Stimuli. PLoS One 2015; 10:e0135216. [PMID: 26394306 PMCID: PMC4579072 DOI: 10.1371/journal.pone.0135216] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2014] [Accepted: 07/20/2015] [Indexed: 11/27/2022] Open
Abstract
Individuals tend to give losses approximately 2-fold the weight that they give gains. Such approximations of loss aversion (LA) are almost always measured in the stimulus domain of money, rather than objects or pictures. Recent work on preference-based decision-making with a schedule-less keypress task (relative preference theory, RPT) has provided a mathematical formulation for LA similar to that in prospect theory (PT), but makes no parametric assumptions in the computation of LA, uses a variable tied to communication theory (i.e., the Shannon entropy or information), and works readily with non-monetary stimuli. We evaluated if these distinct frameworks described similar LA in healthy subjects, and found that LA during the anticipation phase of the PT-based task correlated significantly with LA related to the RPT-based task. Given the ease with which non-monetary stimuli can be used on the Internet, or in animal studies, these findings open an extensive range of applications for the study of loss aversion. Furthermore, the emergence of methodology that can be used to measure preference for both social stimuli and money brings a common framework to the evaluation of preference in both social psychology and behavioral economics.
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Affiliation(s)
- Sang Lee
- Warren Wright Adolescent Center, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
- Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital (MGH) and Harvard Medical School (HMS), Boston, MA, United States of America
- Massachusetts General Hospital and Northwestern University Phenotype Genotype Project in Addiction and Mood Disorders
| | - Myung J. Lee
- Warren Wright Adolescent Center, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
- Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital (MGH) and Harvard Medical School (HMS), Boston, MA, United States of America
- Massachusetts General Hospital and Northwestern University Phenotype Genotype Project in Addiction and Mood Disorders
| | - Byoung W. Kim
- Warren Wright Adolescent Center, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
- Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital (MGH) and Harvard Medical School (HMS), Boston, MA, United States of America
- Massachusetts General Hospital and Northwestern University Phenotype Genotype Project in Addiction and Mood Disorders
| | - Jodi M. Gilman
- Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital (MGH) and Harvard Medical School (HMS), Boston, MA, United States of America
- Massachusetts General Hospital and Northwestern University Phenotype Genotype Project in Addiction and Mood Disorders
| | - John K. Kuster
- Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital (MGH) and Harvard Medical School (HMS), Boston, MA, United States of America
- Mood and Motor Control Laboratory, MGH and HMS, Boston, MA, United States of America
- Massachusetts General Hospital and Northwestern University Phenotype Genotype Project in Addiction and Mood Disorders
| | - Anne J. Blood
- Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital (MGH) and Harvard Medical School (HMS), Boston, MA, United States of America
- Mood and Motor Control Laboratory, MGH and HMS, Boston, MA, United States of America
- Massachusetts General Hospital and Northwestern University Phenotype Genotype Project in Addiction and Mood Disorders
| | - Camelia M. Kuhnen
- Kenan-Flagler Business School, University of North Carolina, Chapel Hill, NC, United States of America
| | - Hans C. Breiter
- Warren Wright Adolescent Center, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
- Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital (MGH) and Harvard Medical School (HMS), Boston, MA, United States of America
- Mood and Motor Control Laboratory, MGH and HMS, Boston, MA, United States of America
- Massachusetts General Hospital and Northwestern University Phenotype Genotype Project in Addiction and Mood Disorders
- * E-mail:
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Viswanathan V, Lee S, Gilman JM, Kim BW, Lee N, Chamberlain L, Livengood SL, Raman K, Lee MJ, Kuster J, Stern DB, Calder B, Mulhern FJ, Blood AJ, Breiter HC. Age-related striatal BOLD changes without changes in behavioral loss aversion. Front Hum Neurosci 2015; 9:176. [PMID: 25983682 PMCID: PMC4415398 DOI: 10.3389/fnhum.2015.00176] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2014] [Accepted: 03/15/2015] [Indexed: 12/21/2022] Open
Abstract
Loss aversion (LA), the idea that negative valuations have a higher psychological impact than positive ones, is considered an important variable in consumer research. The literature on aging and behavior suggests older individuals may show more LA, although it is not clear if this is an effect of aging in general (as in the continuum from age 20 and 50 years), or of the state of older age (e.g., past age 65 years). We also have not yet identified the potential biological effects of aging on the neural processing of LA. In the current study we used a cohort of subjects with a 30 year range of ages, and performed whole brain functional MRI (fMRI) to examine the ventral striatum/nucleus accumbens (VS/NAc) response during a passive viewing of affective faces with model-based fMRI analysis incorporating behavioral data from a validated approach/avoidance task with the same stimuli. Our a priori focus on the VS/NAc was based on (1) the VS/NAc being a central region for reward/aversion processing; (2) its activation to both positive and negative stimuli; (3) its reported involvement with tracking LA. LA from approach/avoidance to affective faces showed excellent fidelity to published measures of LA. Imaging results were then compared to the behavioral measure of LA using the same affective faces. Although there was no relationship between age and LA, we observed increasing neural differential sensitivity (NDS) of the VS/NAc to avoidance responses (negative valuations) relative to approach responses (positive valuations) with increasing age. These findings suggest that a central region for reward/aversion processing changes with age, and may require more activation to produce the same LA behavior as in younger individuals, consistent with the idea of neural efficiency observed with high IQ individuals showing less brain activation to complete the same task.
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Affiliation(s)
- Vijay Viswanathan
- Medill Integrated Marketing Communications, Northwestern University Evanston, IL, USA ; Applied Neuromarketing Consortium: Northwestern University, Wayne State University, University of Michigan, Loughborough University School of Business and Economics (UK) and Massachusetts General Hospital/Harvard University Chicago, IL, USA
| | - Sang Lee
- Mood and Motor Control Laboratory or Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital Boston, MA, USA ; Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Science, Northwestern University Feinberg School of Medicine Chicago, IL, USA ; Northwestern University and Massachusetts General Hospital Phenotype Genotype Project in Addiction and Mood Disorders Chicago, IL, USA
| | - Jodi M Gilman
- Mood and Motor Control Laboratory or Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital Boston, MA, USA
| | - Byoung Woo Kim
- Applied Neuromarketing Consortium: Northwestern University, Wayne State University, University of Michigan, Loughborough University School of Business and Economics (UK) and Massachusetts General Hospital/Harvard University Chicago, IL, USA ; Mood and Motor Control Laboratory or Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital Boston, MA, USA ; Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Science, Northwestern University Feinberg School of Medicine Chicago, IL, USA ; Northwestern University and Massachusetts General Hospital Phenotype Genotype Project in Addiction and Mood Disorders Chicago, IL, USA
| | - Nick Lee
- Applied Neuromarketing Consortium: Northwestern University, Wayne State University, University of Michigan, Loughborough University School of Business and Economics (UK) and Massachusetts General Hospital/Harvard University Chicago, IL, USA ; Marketing Group, Aston Business School Birmingham, UK
| | - Laura Chamberlain
- Applied Neuromarketing Consortium: Northwestern University, Wayne State University, University of Michigan, Loughborough University School of Business and Economics (UK) and Massachusetts General Hospital/Harvard University Chicago, IL, USA ; Marketing Group, Aston Business School Birmingham, UK
| | - Sherri L Livengood
- Applied Neuromarketing Consortium: Northwestern University, Wayne State University, University of Michigan, Loughborough University School of Business and Economics (UK) and Massachusetts General Hospital/Harvard University Chicago, IL, USA ; Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Science, Northwestern University Feinberg School of Medicine Chicago, IL, USA
| | - Kalyan Raman
- Medill Integrated Marketing Communications, Northwestern University Evanston, IL, USA ; Applied Neuromarketing Consortium: Northwestern University, Wayne State University, University of Michigan, Loughborough University School of Business and Economics (UK) and Massachusetts General Hospital/Harvard University Chicago, IL, USA ; Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Science, Northwestern University Feinberg School of Medicine Chicago, IL, USA ; Department of Marketing, Kellogg School of Management, Northwestern University Evanston, IL, USA
| | - Myung Joo Lee
- Applied Neuromarketing Consortium: Northwestern University, Wayne State University, University of Michigan, Loughborough University School of Business and Economics (UK) and Massachusetts General Hospital/Harvard University Chicago, IL, USA ; Mood and Motor Control Laboratory or Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital Boston, MA, USA ; Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Science, Northwestern University Feinberg School of Medicine Chicago, IL, USA ; Northwestern University and Massachusetts General Hospital Phenotype Genotype Project in Addiction and Mood Disorders Chicago, IL, USA
| | - Jake Kuster
- Mood and Motor Control Laboratory or Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital Boston, MA, USA ; Northwestern University and Massachusetts General Hospital Phenotype Genotype Project in Addiction and Mood Disorders Chicago, IL, USA
| | - Daniel B Stern
- Applied Neuromarketing Consortium: Northwestern University, Wayne State University, University of Michigan, Loughborough University School of Business and Economics (UK) and Massachusetts General Hospital/Harvard University Chicago, IL, USA ; Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Science, Northwestern University Feinberg School of Medicine Chicago, IL, USA
| | - Bobby Calder
- Applied Neuromarketing Consortium: Northwestern University, Wayne State University, University of Michigan, Loughborough University School of Business and Economics (UK) and Massachusetts General Hospital/Harvard University Chicago, IL, USA ; Department of Marketing, Kellogg School of Management, Northwestern University Evanston, IL, USA
| | - Frank J Mulhern
- Medill Integrated Marketing Communications, Northwestern University Evanston, IL, USA ; Applied Neuromarketing Consortium: Northwestern University, Wayne State University, University of Michigan, Loughborough University School of Business and Economics (UK) and Massachusetts General Hospital/Harvard University Chicago, IL, USA
| | - Anne J Blood
- Applied Neuromarketing Consortium: Northwestern University, Wayne State University, University of Michigan, Loughborough University School of Business and Economics (UK) and Massachusetts General Hospital/Harvard University Chicago, IL, USA ; Mood and Motor Control Laboratory or Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital Boston, MA, USA ; Northwestern University and Massachusetts General Hospital Phenotype Genotype Project in Addiction and Mood Disorders Chicago, IL, USA
| | - Hans C Breiter
- Applied Neuromarketing Consortium: Northwestern University, Wayne State University, University of Michigan, Loughborough University School of Business and Economics (UK) and Massachusetts General Hospital/Harvard University Chicago, IL, USA ; Mood and Motor Control Laboratory or Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital Boston, MA, USA ; Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Science, Northwestern University Feinberg School of Medicine Chicago, IL, USA ; Northwestern University and Massachusetts General Hospital Phenotype Genotype Project in Addiction and Mood Disorders Chicago, IL, USA
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Smith MJ, Cobia DJ, Reilly JL, Gilman JM, Roberts AG, Alpert KI, Wang L, Breiter HC, Csernansky JG. Cannabis-related episodic memory deficits and hippocampal morphological differences in healthy individuals and schizophrenia subjects. Hippocampus 2015; 25:1042-51. [PMID: 25760303 DOI: 10.1002/hipo.22427] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2014] [Revised: 01/22/2015] [Accepted: 01/22/2015] [Indexed: 11/07/2022]
Abstract
Cannabis use has been associated with episodic memory (EM) impairments and abnormal hippocampus morphology among both healthy individuals and schizophrenia subjects. Considering the hippocampus' role in EM, research is needed to evaluate the relationship between cannabis-related hippocampal morphology and EM among healthy and clinical groups. We examined differences in hippocampus morphology between control and schizophrenia subjects with and without a past (not current) cannabis use disorder (CUD). Subjects group-matched on demographics included 44 healthy controls (CON), 10 subjects with a CUD history (CON-CUD), 28 schizophrenia subjects with no history of substance use disorders (SCZ), and 15 schizophrenia subjects with a CUD history (SCZ-CUD). Large-deformation, high-dimensional brain mapping with MRI produced surface-based representations of the hippocampus that were compared across all four groups and correlated with EM and CUD history. Surface maps of the hippocampus were generated to visualize morphological differences. CON-CUD and SCZ-CUD were characterized by distinct cannabis-related hippocampal shape differences and parametric deficits in EM performance. Shape differences observed in CON-CUD were associated with poorer EM performance, while shape differences observed in SCZ-CUD were associated with a longer duration of CUD and shorter duration of CUD remission. A past history of CUD may be associated with notable differences in hippocampal morphology and EM impairments among adults with and without schizophrenia. Although the results may be compatible with a causal hypothesis, we must consider that the observed cannabis-related shape differences in the hippocampus could also be explained as biomarkers of a neurobiological susceptibility to poor memory or the effects of cannabis.
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Affiliation(s)
- Matthew J Smith
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Warren Wright Adolescent Center, Chicago, Illinois
| | - Derin J Cobia
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Warren Wright Adolescent Center, Chicago, Illinois
| | - James L Reilly
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Warren Wright Adolescent Center, Chicago, Illinois
| | - Jodi M Gilman
- Center for Addiction Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Andrea G Roberts
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Warren Wright Adolescent Center, Chicago, Illinois
| | - Kathryn I Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Hans C Breiter
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Warren Wright Adolescent Center, Chicago, Illinois
| | - John G Csernansky
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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Breiter HC, Block M, Blood AJ, Calder B, Chamberlain L, Lee N, Livengood S, Mulhern FJ, Raman K, Schultz D, Stern DB, Viswanathan V, Zhang FZ. Redefining neuromarketing as an integrated science of influence. Front Hum Neurosci 2015; 8:1073. [PMID: 25709573 PMCID: PMC4325919 DOI: 10.3389/fnhum.2014.01073] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2014] [Accepted: 12/29/2014] [Indexed: 11/13/2022] Open
Abstract
Multiple transformative forces target marketing, many of which derive from new technologies that allow us to sample thinking in real time (i.e., brain imaging), or to look at large aggregations of decisions (i.e., big data). There has been an inclination to refer to the intersection of these technologies with the general topic of marketing as "neuromarketing". There has not been a serious effort to frame neuromarketing, which is the goal of this paper. Neuromarketing can be compared to neuroeconomics, wherein neuroeconomics is generally focused on how individuals make "choices", and represent distributions of choices. Neuromarketing, in contrast, focuses on how a distribution of choices can be shifted or "influenced", which can occur at multiple "scales" of behavior (e.g., individual, group, or market/society). Given influence can affect choice through many cognitive modalities, and not just that of valuation of choice options, a science of influence also implies a need to develop a model of cognitive function integrating attention, memory, and reward/aversion function. The paper concludes with a brief description of three domains of neuromarketing application for studying influence, and their caveats.
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Affiliation(s)
- Hans C Breiter
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Science, Northwestern University Feinberg School of Medicine Chicago, IL, USA ; Mood and Motor Control Laboratory or Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital Boston, MA, USA ; Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA
| | - Martin Block
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA ; Medill Integrated Marketing Communications, Northwestern University Evanston, IL, USA
| | - Anne J Blood
- Mood and Motor Control Laboratory or Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital Boston, MA, USA ; Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA
| | - Bobby Calder
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA ; Department of Marketing, Kellogg School of Management, Northwestern University Evanston, IL, USA
| | - Laura Chamberlain
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA ; Aston Business School Birmingham, UK
| | - Nick Lee
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA ; School of Business and Economics, Loughborough University Leicestershire, UK
| | - Sherri Livengood
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Science, Northwestern University Feinberg School of Medicine Chicago, IL, USA ; Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA
| | - Frank J Mulhern
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA ; Medill Integrated Marketing Communications, Northwestern University Evanston, IL, USA
| | - Kalyan Raman
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Science, Northwestern University Feinberg School of Medicine Chicago, IL, USA ; Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA ; Medill Integrated Marketing Communications, Northwestern University Evanston, IL, USA
| | - Don Schultz
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA ; Medill Integrated Marketing Communications, Northwestern University Evanston, IL, USA
| | - Daniel B Stern
- Warren Wright Adolescent Center, Department of Psychiatry and Behavioral Science, Northwestern University Feinberg School of Medicine Chicago, IL, USA ; Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA
| | - Vijay Viswanathan
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA ; Medill Integrated Marketing Communications, Northwestern University Evanston, IL, USA
| | - Fengqing Zoe Zhang
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA ; Department of Statistics, Northwestern University Evanston, IL, USA ; Department of Psychology, Drexel University Philadelphia, PA, USA
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Smith MJ, Schroeder MP, Abram SV, Goldman MB, Parrish TB, Wang X, Derntl B, Habel U, Decety J, Reilly JL, Csernansky JG, Breiter HC. Alterations in brain activation during cognitive empathy are related to social functioning in schizophrenia. Schizophr Bull 2015; 41:211-22. [PMID: 24583906 PMCID: PMC4266286 DOI: 10.1093/schbul/sbu023] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Impaired cognitive empathy (ie, understanding the emotional experiences of others) is associated with poor social functioning in schizophrenia. However, it is unclear whether the neural activity underlying cognitive empathy relates to social functioning. This study examined the neural activation supporting cognitive empathy performance and whether empathy-related activation during correctly performed trials was associated with self-reported cognitive empathy and measures of social functioning. Thirty schizophrenia outpatients and 24 controls completed a cognitive empathy paradigm during functional magnetic resonance imaging. Neural activity corresponding to correct judgments about the expected emotional expression in a social interaction was compared in schizophrenia subjects relative to control subjects. Participants also completed a self-report measure of empathy and 2 social functioning measures (social competence and social attainment). Schizophrenia subjects demonstrated significantly lower accuracy in task performance and were characterized by hypoactivation in empathy-related frontal, temporal, and parietal regions as well as hyperactivation in occipital regions compared with control subjects during accurate cognitive empathy trials. A cluster with peak activation in the supplementary motor area (SMA) extending to the anterior midcingulate cortex (aMCC) correlated with social competence and social attainment in schizophrenia subjects but not controls. These results suggest that neural correlates of cognitive empathy may be promising targets for interventions aiming to improve social functioning and that brain activation in the SMA/aMCC region could be used as a biomarker for monitoring treatment response.
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Affiliation(s)
- Matthew J. Smith
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL; ,Department of Psychiatry, Warren Wright Adolescent Center at Stone Institute of Psychiatry, Northwestern Memorial Hospital, Chicago, IL; ,*To whom correspondence should be addressed; Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 710 N. Lakeshore Dr, Abbott Hall 13th floor, Chicago, IL 60611, US; tel: 1-312-503-2542, fax: 1-312-503-0527, e-mail:
| | - Matthew P. Schroeder
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | | | - Morris B. Goldman
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Todd B. Parrish
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Xue Wang
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Birgit Derntl
- Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University (Germany), Aachen, Germany
| | - Ute Habel
- Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University (Germany), Aachen, Germany
| | - Jean Decety
- Department of Psychology, University of Chicago, Chicago, IL; ,Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL
| | - James L. Reilly
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL; ,Department of Psychiatry, Warren Wright Adolescent Center at Stone Institute of Psychiatry, Northwestern Memorial Hospital, Chicago, IL; , These authors shared senior authorship
| | - John G. Csernansky
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL; , These authors shared senior authorship
| | - Hans C. Breiter
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL; ,Department of Psychiatry, Warren Wright Adolescent Center at Stone Institute of Psychiatry, Northwestern Memorial Hospital, Chicago, IL; , These authors shared senior authorship
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31
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Block M, Stern DB, Raman K, Lee S, Carey J, Humphreys AA, Mulhern F, Calder B, Schultz D, Rudick CN, Blood AJ, Breiter HC. The relationship between self-report of depression and media usage. Front Hum Neurosci 2014; 8:712. [PMID: 25309388 PMCID: PMC4162355 DOI: 10.3389/fnhum.2014.00712] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2014] [Accepted: 08/26/2014] [Indexed: 11/18/2022] Open
Abstract
Depression is a debilitating condition that adversely affects many aspects of a person's life and general health. Earlier work has supported the idea that there may be a relationship between the use of certain media and depression. In this study, we tested if self-report of depression (SRD), which is not a clinically based diagnosis, was associated with increased internet, television, and social media usage by using data collected in the Media Behavior and Influence Study (MBIS) database (N = 19,776 subjects). We further assessed the relationship of demographic variables to this association. These analyses found that SRD rates were in the range of published rates of clinically diagnosed major depression. It found that those who tended to use more media also tended to be more depressed, and that segmentation of SRD subjects was weighted toward internet and television usage, which was not the case with non-SRD subjects, who were segmented along social media use. This study found that those who have suffered either economic or physical life setbacks are orders of magnitude more likely to be depressed, even without disproportionately high levels of media use. However, among those that have suffered major life setbacks, high media users—particularly television watchers—were even more likely to report experiencing depression, which suggests that these effects were not just due to individuals having more time for media consumption. These findings provide an example of how Big Data can be used for medical and mental health research, helping to elucidate issues not traditionally tested in the fields of psychiatry or experimental psychology.
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Affiliation(s)
- Martin Block
- Medill Integrated Marketing Communications, Northwestern University Evanston, IL, USA ; Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA
| | - Daniel B Stern
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA ; Department of Psychiatry and Behavioral Science, Warren Wright Adolescent Center, Northwestern University Feinberg School of Medicine Chicago, IL, USA
| | - Kalyan Raman
- Medill Integrated Marketing Communications, Northwestern University Evanston, IL, USA ; Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA
| | - Sang Lee
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA ; Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital Boston, MA, USA
| | - Jim Carey
- Medill Integrated Marketing Communications, Northwestern University Evanston, IL, USA ; Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA
| | - Ashlee A Humphreys
- Medill Integrated Marketing Communications, Northwestern University Evanston, IL, USA ; Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA
| | - Frank Mulhern
- Medill Integrated Marketing Communications, Northwestern University Evanston, IL, USA ; Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA
| | - Bobby Calder
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA ; Department of Marketing, Kellogg School of Management, Northwestern University Evanston, IL, USA
| | - Don Schultz
- Medill Integrated Marketing Communications, Northwestern University Evanston, IL, USA ; Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA
| | - Charles N Rudick
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA ; Department of Urology, Northwestern University Feinberg School of Medicine Chicago, IL, USA
| | - Anne J Blood
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA ; Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital Boston, MA, USA ; Mood and Motor Control Laboratory, Department of Psychiatry, Massachusetts General Hospital Boston, MA, USA
| | - Hans C Breiter
- Applied Neuromarketing Consortium, Medill, Kellogg, and Feinberg Schools, Northwestern University Evanston, IL, USA ; Department of Psychiatry and Behavioral Science, Warren Wright Adolescent Center, Northwestern University Feinberg School of Medicine Chicago, IL, USA ; Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital Boston, MA, USA ; Mood and Motor Control Laboratory, Department of Psychiatry, Massachusetts General Hospital Boston, MA, USA
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32
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Lim G, Kim H, McCabe MF, Chou CW, Wang S, Chen LL, Marota JJA, Blood A, Breiter HC, Mao J. A leptin-mediated central mechanism in analgesia-enhanced opioid reward in rats. J Neurosci 2014; 34:9779-88. [PMID: 25031415 PMCID: PMC4099551 DOI: 10.1523/jneurosci.0386-14.2014] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2014] [Revised: 05/22/2014] [Accepted: 06/11/2014] [Indexed: 01/08/2023] Open
Abstract
Opioid analgesics are commonly used in chronic pain management despite a potential risk of rewarding. However, it remains unclear whether opioid analgesia would enhance the opioid rewarding effect thereby contributing to opioid rewarding. Utilizing a rat paradigm of conditioned place preference (CPP) combined with ankle monoarthritis as a condition of persistent nociception, we showed that analgesia induced by either morphine or the nonsteroid anti-inflammatory drug ibuprofen increased CPP scores in arthritic rats, suggesting that analgesia itself had a rewarding effect. However, arthritic rats exhibited a significantly higher CPP score in response to morphine than ibuprofen. Thus, the rewarding effect of morphine was enhanced in the presence of persistent nociception, producing a phenomenon of analgesia-enhanced opioid reward. At the cellular level, administration of morphine activated a cascade of leptin expression, glial activation, and dopamine receptor upregulation in the nucleus accumbens (NAc), while administration of ibuprofen decreased glial activation with no effect on leptin expression in the NAc. Furthermore, the morphine rewarding effect was blocked in leptin deficient ob/ob mice or by neutralizing leptin or interleukin-1β in the NAc without diminishing morphine analgesia. The data indicate that systemic opioid can activate a leptin-mediated central mechanism in the NAc that led to the enhanced opioid rewarding effect. These findings provide evidence for an interaction between opioid analgesia and opioid rewarding, which may have implications in clinical opioid dose escalation in chronic pain management.
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Affiliation(s)
- Grewo Lim
- Massachusetts General Hospital, Center for Translational Pain Research, Departments of Anesthesia, Critical Care, and Pain Medicine
| | - Hyangin Kim
- Massachusetts General Hospital, Center for Translational Pain Research, Departments of Anesthesia, Critical Care, and Pain Medicine
| | - Michael F McCabe
- Massachusetts General Hospital, Center for Translational Pain Research, Departments of Anesthesia, Critical Care, and Pain Medicine
| | - Chiu-Wen Chou
- Massachusetts General Hospital, Center for Translational Pain Research, Departments of Anesthesia, Critical Care, and Pain Medicine
| | - Shuxing Wang
- Massachusetts General Hospital, Center for Translational Pain Research, Departments of Anesthesia, Critical Care, and Pain Medicine
| | - Lucy L Chen
- Massachusetts General Hospital, Center for Translational Pain Research, Departments of Anesthesia, Critical Care, and Pain Medicine
| | - John J A Marota
- Massachusetts General Hospital, Center for Translational Pain Research, Departments of Anesthesia, Critical Care, and Pain Medicine
| | | | - Hans C Breiter
- Psychiatry and Radiology, Harvard Medical School, Boston, Massachusetts 02114
| | - Jianren Mao
- Massachusetts General Hospital, Center for Translational Pain Research, Departments of Anesthesia, Critical Care, and Pain Medicine,
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33
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Stoeckel LE, Garrison KA, Ghosh S, Wighton P, Hanlon CA, Gilman JM, Greer S, Turk-Browne NB, deBettencourt MT, Scheinost D, Craddock C, Thompson T, Calderon V, Bauer CC, George M, Breiter HC, Whitfield-Gabrieli S, Gabrieli JD, LaConte SM, Hirshberg L, Brewer JA, Hampson M, Van Der Kouwe A, Mackey S, Evins AE. Optimizing real time fMRI neurofeedback for therapeutic discovery and development. Neuroimage Clin 2014; 5:245-55. [PMID: 25161891 PMCID: PMC4141981 DOI: 10.1016/j.nicl.2014.07.002] [Citation(s) in RCA: 112] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2014] [Revised: 06/20/2014] [Accepted: 07/05/2014] [Indexed: 11/06/2022]
Abstract
While reducing the burden of brain disorders remains a top priority of organizations like the World Health Organization and National Institutes of Health, the development of novel, safe and effective treatments for brain disorders has been slow. In this paper, we describe the state of the science for an emerging technology, real time functional magnetic resonance imaging (rtfMRI) neurofeedback, in clinical neurotherapeutics. We review the scientific potential of rtfMRI and outline research strategies to optimize the development and application of rtfMRI neurofeedback as a next generation therapeutic tool. We propose that rtfMRI can be used to address a broad range of clinical problems by improving our understanding of brain–behavior relationships in order to develop more specific and effective interventions for individuals with brain disorders. We focus on the use of rtfMRI neurofeedback as a clinical neurotherapeutic tool to drive plasticity in brain function, cognition, and behavior. Our overall goal is for rtfMRI to advance personalized assessment and intervention approaches to enhance resilience and reduce morbidity by correcting maladaptive patterns of brain function in those with brain disorders. Guidelines are proposed for studies of rtfMRI neurofeedback for clinical therapeutics. Evidence-based guidelines are needed for clinical trials of rtfMRI neurofeedback. These guidelines will shape the design of future clinical trials.
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Affiliation(s)
- L E Stoeckel
- Massachusetts General Hospital, Department of Psychiatry, USA ; Harvard Medical School, USA ; Athinoula A. Martinos Center, USA ; McGovern Institute for Brain Research, Massachusetts Institute of Technology, USA
| | - K A Garrison
- Yale University School of Medicine, Department of Psychiatry, USA
| | - S Ghosh
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, USA
| | - P Wighton
- Athinoula A. Martinos Center, USA ; Massachusetts General Hospital, Department of Radiology, USA
| | - C A Hanlon
- Department of Psychiatry, Medical University of South Carolina, USA
| | - J M Gilman
- Massachusetts General Hospital, Department of Psychiatry, USA ; Harvard Medical School, USA ; Athinoula A. Martinos Center, USA
| | - S Greer
- Department of Neuroscience, University of California, Berkeley, USA
| | | | | | - D Scheinost
- Department of Diagnostic Radiology, Yale University School of Medicine, USA
| | | | - T Thompson
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, USA
| | - V Calderon
- Massachusetts General Hospital, Department of Psychiatry, USA
| | - C C Bauer
- Universidad Nacional Autonoma de Mexico, Instituto de Neurobiologia, Mexico
| | - M George
- Department of Psychiatry, Medical University of South Carolina, USA
| | - H C Breiter
- Massachusetts General Hospital, Department of Psychiatry, USA ; Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, USA
| | - S Whitfield-Gabrieli
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, USA
| | - J D Gabrieli
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, USA
| | - S M LaConte
- School of Biomedical Engineering and Sciences, Virginia Tech, USA ; Virginia Tech Carilion Research Institute, USA
| | - L Hirshberg
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, USA
| | - J A Brewer
- Yale University School of Medicine, Department of Psychiatry, USA ; Department of Medicine and Psychiatry, University of Massachusetts Medical School, USA
| | - M Hampson
- Department of Diagnostic Radiology, Yale University School of Medicine, USA
| | - A Van Der Kouwe
- Athinoula A. Martinos Center, USA ; Massachusetts General Hospital, Department of Radiology, USA
| | - S Mackey
- Department of Anesthesia, Stanford University School of Medicine, USA
| | - A E Evins
- Massachusetts General Hospital, Department of Psychiatry, USA ; Harvard Medical School, USA
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34
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Smith MJ, Horan WP, Cobia DJ, Karpouzian TM, Fox JM, Reilly JL, Breiter HC. Performance-based empathy mediates the influence of working memory on social competence in schizophrenia. Schizophr Bull 2014; 40:824-34. [PMID: 23770935 PMCID: PMC4059427 DOI: 10.1093/schbul/sbt084] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Empathic deficits have been linked to poor functioning in schizophrenia, but this work is mostly limited to self-report data. This study examined whether performance-based empathy measures account for incremental variance in social competence and social attainment above and beyond self-reported empathy, neurocognition, and clinical symptoms. Given the importance of working memory in theoretical models of empathy and in the prediction of functioning in schizophrenia, we also examined whether empathy mediates the relationship between working memory and functioning. Sixty outpatients and 45 healthy controls were compared on performance-based measures of 3 key components of empathic responding, including facial affect perception, emotional empathy (affective responsiveness), and cognitive empathy (emotional perspective-taking). Participants also completed measures of self-reported empathy, neurocognition, clinical symptoms, and social competence and attainment. Patients demonstrated lower accuracy than controls across the 3 performance-based empathy measures. Among patients, these measures showed minimal relations to self-reported empathy but significantly correlated with working memory and other neurocognitive functions as well as symptom levels. Furthermore, cognitive empathy explained significant incremental variance in social competence (∆R (2) = .07, P < .05) and was found to mediate the relation between working memory and social competence. Performance-based measures of empathy were sensitive to functionally relevant disturbances in schizophrenia. Working memory deficits appear to have an important effect on these disruptions in empathy. Empathy is emerging as a promising new area for social cognitive research and for novel recovery-oriented treatment development.
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Affiliation(s)
- Matthew J. Smith
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL;,*To whom correspondence should be addressed; Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 446 E. Ontario, Suite 7-100, Chicago, IL 60611, US; tel: 1-312-503-2542, fax: 1-312-503-0527, e-mail:
| | - William P. Horan
- Department of Psychaitry & Biobehavioral Sciences, Geffen School of Medicine at University of California at Los Angeles, Los Angeles, CA;,VA Greater Los Angeles Healthcare System, VISN22 MIRECC, Los Angeles, CA
| | - Derin J. Cobia
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Tatiana M. Karpouzian
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Jaclyn M. Fox
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - James L. Reilly
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Hans C. Breiter
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL;,Warren Wright Adolescent Center, Northwestern University Feinberg School of Medicine, Chicago, IL
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35
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Smith MJ, Cobia DJ, Wang L, Alpert KI, Cronenwett WJ, Goldman MB, Mamah D, Barch DM, Breiter HC, Csernansky JG. Cannabis-related working memory deficits and associated subcortical morphological differences in healthy individuals and schizophrenia subjects. Schizophr Bull 2014; 40:287-99. [PMID: 24342821 PMCID: PMC3932091 DOI: 10.1093/schbul/sbt176] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Cannabis use is associated with working memory (WM) impairments; however, the relationship between cannabis use and WM neural circuitry is unclear. We examined whether a cannabis use disorder (CUD) was associated with differences in brain morphology between control subjects with and without a CUD and between schizophrenia subjects with and without a CUD, and whether these differences related to WM and CUD history. Subjects group-matched on demographics included 44 healthy controls, 10 subjects with a CUD history, 28 schizophrenia subjects with no history of substance use disorders, and 15 schizophrenia subjects with a CUD history. Large-deformation high-dimensional brain mapping with magnetic resonance imaging was used to obtain surface-based representations of the striatum, globus pallidus, and thalamus, compared across groups, and correlated with WM and CUD history. Surface maps were generated to visualize morphological differences. There were significant cannabis-related parametric decreases in WM across groups. Similar cannabis-related shape differences were observed in the striatum, globus pallidus, and thalamus in controls and schizophrenia subjects. Cannabis-related striatal and thalamic shape differences correlated with poorer WM and younger age of CUD onset in both groups. Schizophrenia subjects demonstrated cannabis-related neuroanatomical differences that were consistent and exaggerated compared with cannabis-related differences found in controls. The cross-sectional results suggest that both CUD groups were characterized by WM deficits and subcortical neuroanatomical differences. Future longitudinal studies could help determine whether cannabis use contributes to these observed shape differences or whether they are biomarkers of a vulnerability to the effects of cannabis that predate its misuse.
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Affiliation(s)
- Matthew J. Smith
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL;,*To whom correspondence should be addressed; Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 710 N. Lake Shore Drive, 13th Floor, Abbott Hall, Chicago, IL 60611, US; tel: 1-312-503-2542, fax: 1-312-503-0527, e-mail:
| | - Derin J. Cobia
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL;,Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Kathryn I. Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Will J. Cronenwett
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Morris B. Goldman
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Daniel Mamah
- Department of Psychiatry, Washington University, St Louis, MO
| | | | - Hans C. Breiter
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL;,Warren Wright Adolescent Center, Northwestern University Feinberg School of Medicine, Chicago, IL,Denotes shared senior authorship on this article
| | - John G. Csernansky
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL;,Denotes shared senior authorship on this article
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36
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Morgenstern J, Naqvi NH, Debellis R, Breiter HC. The contributions of cognitive neuroscience and neuroimaging to understanding mechanisms of behavior change in addiction. Psychol Addict Behav 2013; 27:336-50. [PMID: 23586452 DOI: 10.1037/a0032435] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
In the last decade, there has been an upsurge of interest in understanding the mechanisms of behavior change (MOBC) and effective behavioral interventions as a strategy to improve addiction-treatment efficacy. However, there remains considerable uncertainty about how treatment research should proceed to address the MOBC issue. In this article, we argue that limitations in the underlying models of addiction that inform behavioral treatment pose an obstacle to elucidating MOBC. We consider how advances in the cognitive neuroscience of addiction offer an alternative conceptual and methodological approach to studying the psychological processes that characterize addiction, and how such advances could inform treatment process research. In addition, we review neuroimaging studies that have tested aspects of neurocognitive theories as a strategy to inform addiction therapies and discuss future directions for transdisciplinary collaborations across cognitive neuroscience and MOBC research.
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Affiliation(s)
- Jon Morgenstern
- Department of Psychiatry, Columbia University, New York, NY 10027, USA.
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37
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Seidman LJ, Meyer EC, Giuliano AJ, Breiter HC, Goldstein JM, Kremen WS, Thermenos HW, Toomey R, Stone WS, Tsuang MT, Faraone SV. Auditory working memory impairments in individuals at familial high risk for schizophrenia. Neuropsychology 2012; 26:288-303. [PMID: 22563872 DOI: 10.1037/a0027970] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVES The search for predictors of schizophrenia has accelerated with a growing focus on early intervention and prevention of psychotic illness. Studying nonpsychotic relatives of individuals with schizophrenia enables identification of markers of vulnerability for the illness independent of confounds associated with psychosis. The goal of these studies was to develop new auditory continuous performance tests (ACPTs) and evaluate their effects in individuals with schizophrenia and their relatives. METHODS We carried out two studies of auditory vigilance with tasks involving working memory (WM) and interference control with increasing levels of cognitive load to discern the information-processing vulnerabilities in a sample of schizophrenia patients, and two samples of nonpsychotic relatives of individuals with schizophrenia and controls. Study 1 assessed adults (mean age = 41), and Study 2 assessed teenagers and young adults age 13-25 (M = 19). RESULTS Patients with schizophrenia were impaired on all five versions of the ACPTs, whereas relatives were impaired only on WM tasks, particularly the two interference tasks that maximize cognitive load. Across all groups, the interference tasks were more difficult to perform than the other tasks. Schizophrenia patients performed worse than relatives, who performed worse than controls. For patients, the effect sizes were large (Cohen's d = 1.5), whereas for relatives they were moderate (d = ~0.40-0.50). There was no age by group interaction in the relatives-control comparison except for participants <31 years of age. CONCLUSIONS Novel WM tasks that manipulate cognitive load and interference control index an important component of the vulnerability to schizophrenia.
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Affiliation(s)
| | - Eric C Meyer
- Department of Psychiatry and Behavioral Science, Texas A&M Health Science Center, College of Medicine
| | | | | | | | - William S Kremen
- Department of Psychiatry, Center for Behavior Genomics, University of California
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38
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Blood AJ, Kuster JK, Woodman SC, Kirlic N, Makhlouf ML, Multhaupt-Buell TJ, Makris N, Parent M, Sudarsky LR, Sjalander G, Breiter H, Breiter HC, Sharma N. Evidence for altered basal ganglia-brainstem connections in cervical dystonia. PLoS One 2012; 7:e31654. [PMID: 22384048 PMCID: PMC3285161 DOI: 10.1371/journal.pone.0031654] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2011] [Accepted: 01/16/2012] [Indexed: 11/18/2022] Open
Abstract
Background There has been increasing interest in the interaction of the basal ganglia with the cerebellum and the brainstem in motor control and movement disorders. In addition, it has been suggested that these subcortical connections with the basal ganglia may help to coordinate a network of regions involved in mediating posture and stabilization. While studies in animal models support a role for this circuitry in the pathophysiology of the movement disorder dystonia, thus far, there is only indirect evidence for this in humans with dystonia. Methodology/Principal Findings In the current study we investigated probabilistic diffusion tractography in DYT1-negative patients with cervical dystonia and matched healthy control subjects, with the goal of showing that patients exhibit altered microstructure in the connectivity between the pallidum and brainstem. The brainstem regions investigated included nuclei that are known to exhibit strong connections with the cerebellum. We observed large clusters of tractography differences in patients relative to healthy controls, between the pallidum and the brainstem. Tractography was decreased in the left hemisphere and increased in the right hemisphere in patients, suggesting a potential basis for the left/right white matter asymmetry we previously observed in focal dystonia patients. Conclusions/Significance These findings support the hypothesis that connections between the basal ganglia and brainstem play a role in the pathophysiology of dystonia.
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Affiliation(s)
- Anne J Blood
- Mood and Motor Control Laboratory, Massachusetts General Hospital, Charlestown, Massachusetts, United States of America.
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Blood AJ, Iosifescu DV, Makris N, Perlis RH, Kennedy DN, Dougherty DD, Kim BW, Lee MJ, Wu S, Lee S, Calhoun J, Hodge SM, Fava M, Rosen BR, Smoller JW, Gasic GP, Breiter HC. Microstructural abnormalities in subcortical reward circuitry of subjects with major depressive disorder. PLoS One 2010; 5:e13945. [PMID: 21124764 PMCID: PMC2993928 DOI: 10.1371/journal.pone.0013945] [Citation(s) in RCA: 104] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2010] [Accepted: 09/16/2010] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Previous studies of major depressive disorder (MDD) have focused on abnormalities in the prefrontal cortex and medial temporal regions. There has been little investigation in MDD of midbrain and subcortical regions central to reward/aversion function, such as the ventral tegmental area/substantia nigra (VTA/SN), and medial forebrain bundle (MFB). METHODOLOGY/PRINCIPAL FINDINGS We investigated the microstructural integrity of this circuitry using diffusion tensor imaging (DTI) in 22 MDD subjects and compared them with 22 matched healthy control subjects. Fractional anisotropy (FA) values were increased in the right VT and reduced in dorsolateral prefrontal white matter in MDD subjects. Follow-up analysis suggested two distinct subgroups of MDD patients, which exhibited non-overlapping abnormalities in reward/aversion circuitry. The MDD subgroup with abnormal FA values in VT exhibited significantly greater trait anxiety than the subgroup with normal FA values in VT, but the subgroups did not differ in levels of anhedonia, sadness, or overall depression severity. CONCLUSIONS/SIGNIFICANCE These findings suggest that MDD may be associated with abnormal microstructure in brain reward/aversion regions, and that there may be at least two subtypes of microstructural abnormalities which each impact core symptoms of depression.
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Affiliation(s)
- Anne J. Blood
- Depression Clinic and Research Program, Mood and Motor Control Laboratory, Addiction Research Program, Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Motivation and Emotion Neuroscience Collaboration (MENC) and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Dan V. Iosifescu
- Depression Clinic and Research Program, Mood and Motor Control Laboratory, Addiction Research Program, Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Mount Sinai School of Medicine, New York, New York, United States of America
| | - Nikos Makris
- Depression Clinic and Research Program, Mood and Motor Control Laboratory, Addiction Research Program, Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Center for Morphometric Analysis and Center for Integrative Informatics, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Roy H. Perlis
- Depression Clinic and Research Program, Mood and Motor Control Laboratory, Addiction Research Program, Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Psychiatric and Neurodevelopmental Genetics Unit and Center for Human Genetic Research, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - David N. Kennedy
- Center for Morphometric Analysis and Center for Integrative Informatics, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Darin D. Dougherty
- Depression Clinic and Research Program, Mood and Motor Control Laboratory, Addiction Research Program, Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Byoung Woo Kim
- Depression Clinic and Research Program, Mood and Motor Control Laboratory, Addiction Research Program, Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Motivation and Emotion Neuroscience Collaboration (MENC) and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Myung Joo Lee
- Depression Clinic and Research Program, Mood and Motor Control Laboratory, Addiction Research Program, Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Motivation and Emotion Neuroscience Collaboration (MENC) and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Shirley Wu
- Depression Clinic and Research Program, Mood and Motor Control Laboratory, Addiction Research Program, Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Sang Lee
- Depression Clinic and Research Program, Mood and Motor Control Laboratory, Addiction Research Program, Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Motivation and Emotion Neuroscience Collaboration (MENC) and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jesse Calhoun
- Depression Clinic and Research Program, Mood and Motor Control Laboratory, Addiction Research Program, Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Motivation and Emotion Neuroscience Collaboration (MENC) and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Steven M. Hodge
- Depression Clinic and Research Program, Mood and Motor Control Laboratory, Addiction Research Program, Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Motivation and Emotion Neuroscience Collaboration (MENC) and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Center for Morphometric Analysis and Center for Integrative Informatics, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Maurizio Fava
- Depression Clinic and Research Program, Mood and Motor Control Laboratory, Addiction Research Program, Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Psychiatric and Neurodevelopmental Genetics Unit and Center for Human Genetic Research, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Bruce R. Rosen
- Motivation and Emotion Neuroscience Collaboration (MENC) and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jordan W. Smoller
- Depression Clinic and Research Program, Mood and Motor Control Laboratory, Addiction Research Program, Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Psychiatric and Neurodevelopmental Genetics Unit and Center for Human Genetic Research, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Gregory P. Gasic
- Depression Clinic and Research Program, Mood and Motor Control Laboratory, Addiction Research Program, Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Motivation and Emotion Neuroscience Collaboration (MENC) and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Hans C. Breiter
- Depression Clinic and Research Program, Mood and Motor Control Laboratory, Addiction Research Program, Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Motivation and Emotion Neuroscience Collaboration (MENC) and Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
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Kim BW, Kennedy DN, Lehár J, Lee MJ, Blood AJ, Lee S, Perlis RH, Smoller JW, Morris R, Fava M, Breiter HC. Recurrent, robust and scalable patterns underlie human approach and avoidance. PLoS One 2010; 5:e10613. [PMID: 20532247 PMCID: PMC2879576 DOI: 10.1371/journal.pone.0010613] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2010] [Accepted: 04/08/2010] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Approach and avoidance behavior provide a means for assessing the rewarding or aversive value of stimuli, and can be quantified by a keypress procedure whereby subjects work to increase (approach), decrease (avoid), or do nothing about time of exposure to a rewarding/aversive stimulus. To investigate whether approach/avoidance behavior might be governed by quantitative principles that meet engineering criteria for lawfulness and that encode known features of reward/aversion function, we evaluated whether keypress responses toward pictures with potential motivational value produced any regular patterns, such as a trade-off between approach and avoidance, or recurrent lawful patterns as observed with prospect theory. METHODOLOGY/PRINCIPAL FINDINGS Three sets of experiments employed this task with beautiful face images, a standardized set of affective photographs, and pictures of food during controlled states of hunger and satiety. An iterative modeling approach to data identified multiple law-like patterns, based on variables grounded in the individual. These patterns were consistent across stimulus types, robust to noise, describable by a simple power law, and scalable between individuals and groups. Patterns included: (i) a preference trade-off counterbalancing approach and avoidance, (ii) a value function linking preference intensity to uncertainty about preference, and (iii) a saturation function linking preference intensity to its standard deviation, thereby setting limits to both. CONCLUSIONS/SIGNIFICANCE These law-like patterns were compatible with critical features of prospect theory, the matching law, and alliesthesia. Furthermore, they appeared consistent with both mean-variance and expected utility approaches to the assessment of risk. Ordering of responses across categories of stimuli demonstrated three properties thought to be relevant for preference-based choice, suggesting these patterns might be grouped together as a relative preference theory. Since variables in these patterns have been associated with reward circuitry structure and function, they may provide a method for quantitative phenotyping of normative and pathological function (e.g., psychiatric illness).
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Affiliation(s)
- Byoung Woo Kim
- Motivation and Emotion Neuroscience Collaboration (MENC), Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - David N. Kennedy
- Center for Morphometric Analysis, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Joseph Lehár
- Department of Bioinformatics, Boston University, Boston, Massachusetts, United States of America
| | - Myung Joo Lee
- Motivation and Emotion Neuroscience Collaboration (MENC), Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Anne J. Blood
- Motivation and Emotion Neuroscience Collaboration (MENC), Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Mood and Motor Control Laboratory, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Sang Lee
- Motivation and Emotion Neuroscience Collaboration (MENC), Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Roy H. Perlis
- Depression Clinic and Research Program, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Psychiatric and Neurodevelopmental Genetics Unit of the Center for Human Genetic Research, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jordan W. Smoller
- Psychiatric and Neurodevelopmental Genetics Unit of the Center for Human Genetic Research, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Robert Morris
- Motivation and Emotion Neuroscience Collaboration (MENC), Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Maurizio Fava
- Depression Clinic and Research Program, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Hans C. Breiter
- Motivation and Emotion Neuroscience Collaboration (MENC), Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Mood and Motor Control Laboratory, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
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Bohland JW, Wu C, Barbas H, Bokil H, Bota M, Breiter HC, Cline HT, Doyle JC, Freed PJ, Greenspan RJ, Haber SN, Hawrylycz M, Herrera DG, Hilgetag CC, Huang ZJ, Jones A, Jones EG, Karten HJ, Kleinfeld D, Kötter R, Lester HA, Lin JM, Mensh BD, Mikula S, Panksepp J, Price JL, Safdieh J, Saper CB, Schiff ND, Schmahmann JD, Stillman BW, Svoboda K, Swanson LW, Toga AW, Van Essen DC, Watson JD, Mitra PP. A proposal for a coordinated effort for the determination of brainwide neuroanatomical connectivity in model organisms at a mesoscopic scale. PLoS Comput Biol 2009; 5:e1000334. [PMID: 19325892 PMCID: PMC2655718 DOI: 10.1371/journal.pcbi.1000334] [Citation(s) in RCA: 220] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
In this era of complete genomes, our knowledge of neuroanatomical circuitry remains surprisingly sparse. Such knowledge is critical, however, for both basic and clinical research into brain function. Here we advocate for a concerted effort to fill this gap, through systematic, experimental mapping of neural circuits at a mesoscopic scale of resolution suitable for comprehensive, brainwide coverage, using injections of tracers or viral vectors. We detail the scientific and medical rationale and briefly review existing knowledge and experimental techniques. We define a set of desiderata, including brainwide coverage; validated and extensible experimental techniques suitable for standardization and automation; centralized, open-access data repository; compatibility with existing resources; and tractability with current informatics technology. We discuss a hypothetical but tractable plan for mouse, additional efforts for the macaque, and technique development for human. We estimate that the mouse connectivity project could be completed within five years with a comparatively modest budget.
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Affiliation(s)
- Jason W Bohland
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA.
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Wrase J, Makris N, Braus DF, Mann K, Smolka MN, Kennedy DN, Caviness VS, Hodge SM, Tang L, Albaugh M, Ziegler DA, Davis OC, Kissling C, Schumann G, Breiter HC, Heinz A. Amygdala volume associated with alcohol abuse relapse and craving. Am J Psychiatry 2008; 165:1179-84. [PMID: 18593776 DOI: 10.1176/appi.ajp.2008.07121877] [Citation(s) in RCA: 164] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Amygdala volume has been associated with drug craving in cocaine addicts, and amygdala volume reduction is observed in some alcohol-dependent subjects. This study sought an association in alcohol-dependent subjects between volumes of reward-related brain regions, alcohol craving, and the risk of relapse. METHOD Besides alcohol craving, the authors assessed amygdala, hippocampus, and ventral striatum volumes in 51 alcohol-dependent subjects and 52 age- and education-matched healthy comparison subjects after detoxification. After imaging and clinical assessment, patients were followed for 6 months and alcohol intake was recorded. RESULTS Alcohol-dependent subjects showed reduced amygdala, hippocampus, and ventral striatum volumes and reported stronger craving in relation to healthy comparison subjects. However, only amygdala volume and craving differentiated between subsequent relapsers and abstainers. A significant decrease of amygdala volume in alcohol-dependent subjects was associated with increased alcohol craving before imaging and an increased alcohol intake during the 6-month follow-up period. CONCLUSIONS These findings suggest a relationship between amygdala volume reduction, alcohol craving, and prospective relapse into alcohol consumption.
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Affiliation(s)
- Jana Wrase
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Charité Campus Mitte, Charitéplatz 1, 10117 Berlin, Germany
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Perlis RH, Holt DJ, Smoller JW, Blood AJ, Lee S, Kim BW, Lee MJ, Sun M, Makris N, Kennedy DK, Rooney K, Dougherty DD, Hoge R, Rosenbaum JF, Fava M, Gusella J, Gasic GP, Breiter HC. Association of a polymorphism near CREB1 with differential aversion processing in the insula of healthy participants. ACTA ACUST UNITED AC 2008; 65:882-92. [PMID: 18678793 DOI: 10.1001/archgenpsychiatry.2008.3] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
CONTEXT Previous functional neuroimaging studies have identified a network of brain regions that process aversive stimuli, including anger. A polymorphism near the cyclic adenosine monophosphate response element binding protein gene (CREB1) has recently been associated with greater self-reported effort at anger control as well as risk for antidepressant treatment-emergent suicidality in men with major depressive disorder, but its functional effects have not been studied. OBJECTIVE To determine whether this genetic variant is associated with altered brain processing of and behavioral avoidance responses to angry facial expressions. DESIGN AND PARTICIPANTS A total of 28 white participants (mean age, 29.2 years; 13 women) were screened using the Structured Clinical Interview for DSM-IV to exclude any lifetime Axis I psychiatric disorder and were genotyped for rs4675690, a single-nucleotide polymorphism near CREB1. MAIN OUTCOME MEASURES Blood oxygenation level-dependent signal by functional magnetic resonance imaging in the amygdala, insula, anterior cingulate, and orbitofrontal cortex during passive viewing of photographs of faces with emotional expressions. To measure approach and avoidance responses to anger, an off-line key-press task that traded effort for viewing time assessed valuation of angry faces compared with other expressions. RESULTS The CREB1-linked single-nucleotide polymorphism was associated with significant differential activation in an extended neural network responding to angry and other facial expressions. The CREB1-associated insular activation was coincident with activation associated with behavioral avoidance of angry faces. CONCLUSIONS A polymorphism near CREB1 is associated with responsiveness to angry faces in a brain network implicated in processing aversion. Coincident activation in the left insula is further associated with behavioral avoidance of these stimuli.
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Affiliation(s)
- Roy H Perlis
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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Makris N, Oscar-Berman M, Kim S, Hodge SM, Kennedy DN, Caviness VS, Marinkovic K, Breiter HC, Gasic GP, Harris GJ. Decreased volume of the brain reward system in alcoholism. Biol Psychiatry 2008; 64:192-202. [PMID: 18374900 PMCID: PMC2572710 DOI: 10.1016/j.biopsych.2008.01.018] [Citation(s) in RCA: 297] [Impact Index Per Article: 18.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2007] [Revised: 12/26/2007] [Accepted: 01/16/2008] [Indexed: 12/31/2022]
Abstract
BACKGROUND Reinforcement of behavioral responses involves a complex cerebral circuit engaging specific neuronal networks that are modulated by cortical oversight systems affiliated with emotion, memory, judgment, and decision making (collectively referred to in this study as the "extended reward and oversight system" or "reward network"). We examined whether reward-network brain volumes are reduced in alcoholics and how volumes of subcomponents within this system are correlated with memory and drinking history. METHODS Morphometric analysis was performed on magnetic resonance brain scans in 21 abstinent long-term chronic alcoholic men and 21 healthy control men, group-matched on age, verbal IQ, and education. We derived volumes of total brain and volumes of cortical and subcortical reward-related structures including the dorsolateral-prefrontal, orbitofrontal, cingulate cortices, and the insula, as well as the amygdala, hippocampus, nucleus accumbens septi (NAc), and ventral diencephalon. RESULTS Morphometric analyses of reward-related regions revealed decreased total reward-network volume in alcoholic subjects. Volume reduction was most pronounced in right dorsolateral-prefrontal cortex, right anterior insula, and right NAc, as well as left amygdala. In alcoholics, NAc and anterior insula volumes increased with length of abstinence, and total reward-network and amygdala volumes correlated positively with memory scores. CONCLUSIONS The observation of decreased reward-network volume suggests that alcoholism is associated with alterations in this neural reward system. These structural reward system deficits and their correlation with memory scores elucidate underlying structural-functional relationships between alcoholism and emotional and cognitive processes.
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Affiliation(s)
- Nikos Makris
- Athinoula A. Martinos Center, Harvard Medical School Departments of Neurology, Psychiatry and Radiology Services, Center for Morphometric Analysis, Massachusetts General Hospital, Boston, MA 02129,VA Healthcare System, Boston Campus, and Boston University School of Medicine, Departments of Psychiatry, Neurology, and Anatomy & Neurobiology, Boston, MA 02118
| | - Marlene Oscar-Berman
- VA Healthcare System, Boston Campus, and Boston University School of Medicine, Departments of Psychiatry, Neurology, and Anatomy & Neurobiology, Boston, MA 02118
| | - Sharon Kim
- Athinoula A. Martinos Center, Harvard Medical School Departments of Neurology, Psychiatry and Radiology Services, Center for Morphometric Analysis, Massachusetts General Hospital, Boston, MA 02129,Radiology Computer Aided Diagnostics Laboratory, Department of Radiology, Massachusetts General Hospital, Boston, MA 02114
| | - Steven M. Hodge
- Athinoula A. Martinos Center, Harvard Medical School Departments of Neurology, Psychiatry and Radiology Services, Center for Morphometric Analysis, Massachusetts General Hospital, Boston, MA 02129,Radiology Computer Aided Diagnostics Laboratory, Department of Radiology, Massachusetts General Hospital, Boston, MA 02114
| | - David N. Kennedy
- Athinoula A. Martinos Center, Harvard Medical School Departments of Neurology, Psychiatry and Radiology Services, Center for Morphometric Analysis, Massachusetts General Hospital, Boston, MA 02129
| | - Verne S. Caviness
- Athinoula A. Martinos Center, Harvard Medical School Departments of Neurology, Psychiatry and Radiology Services, Center for Morphometric Analysis, Massachusetts General Hospital, Boston, MA 02129
| | - Ksenija Marinkovic
- Athinoula A. Martinos Center, Harvard Medical School Departments of Neurology, Psychiatry and Radiology Services, Center for Morphometric Analysis, Massachusetts General Hospital, Boston, MA 02129
| | - Hans C. Breiter
- Athinoula A. Martinos Center, Harvard Medical School Departments of Neurology, Psychiatry and Radiology Services, Center for Morphometric Analysis, Massachusetts General Hospital, Boston, MA 02129
| | - Gregory P. Gasic
- Athinoula A. Martinos Center, Harvard Medical School Departments of Neurology, Psychiatry and Radiology Services, Center for Morphometric Analysis, Massachusetts General Hospital, Boston, MA 02129
| | - Gordon J. Harris
- Radiology Computer Aided Diagnostics Laboratory, Department of Radiology, Massachusetts General Hospital, Boston, MA 02114
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Goldstein JM, Jerram M, Poldrack R, Anagnoson R, Breiter HC, Makris N, Goodman JM, Tsuang MT, Seidman LJ. Sex differences in prefrontal cortical brain activity during fMRI of auditory verbal working memory. Neuropsychology 2005; 19:509-19. [PMID: 16060826 DOI: 10.1037/0894-4105.19.4.509] [Citation(s) in RCA: 114] [Impact Index Per Article: 6.0] [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] [Indexed: 11/08/2022] Open
Abstract
Functional imaging studies of sex effects in working memory (WMEM) are few, despite significant normal sex differences in brain regions implicated in WMEM. This functional MRI (fMRI) study tested for sex effects in an auditory verbal WMEM task in prefrontal, parietal, cingulate, and insula regions. Fourteen healthy, right-handed community subjects were comparable between the sexes, including on WMEM performance. Per statistical parametric mapping, women exhibited greater signal intensity changes in middle, inferior, and orbital prefrontal cortices than men (corrected for multiple comparisons). A test of mixed-sex groups, comparable on performance, showed no significant differences in the hypothesized regions, providing evidence for discriminant validity for significant sex differences. The findings suggest that combining men and women in fMRI studies of cognition may obscure or bias results.
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Affiliation(s)
- Jill M Goldstein
- Department of Psychiatry, Harvard Medical School, Boston, MA 02120, USA.
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Strauss MM, Makris N, Aharon I, Vangel MG, Goodman J, Kennedy DN, Gasic GP, Breiter HC. fMRI of sensitization to angry faces. Neuroimage 2005; 26:389-413. [PMID: 15907298 DOI: 10.1016/j.neuroimage.2005.01.053] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2004] [Revised: 01/22/2005] [Accepted: 01/28/2005] [Indexed: 11/15/2022] Open
Abstract
This study examined what is communicated by facial expressions of anger and mapped the neural substrates, evaluating the motivational salience of these stimuli. During functional magnetic resonance imaging, angry and neutral faces were presented to human subjects. Across experimental runs, signal adaptation was observed. Whereas fearful faces have reproducibly evoked response habituation in amygdala and prefrontal cortex, angry faces evoked sensitization in the insula, cingulate, thalamus, basal ganglia, and hippocampus. Complementary offline rating and keypress experiments determined an aversive rank ordering of angry, fearful, neutral, and happy faces and revealed behavioral sensitization to the angry faces. Subjects rated angry faces, in contrast to other face categories such as fear, as significantly more likely to directly inflict harm. Furthermore, they rated angry faces as significantly less likely to produce positive emotional outcomes than the other face categories. Together these data argue that angry faces, a directly aversive stimulus, produce a sensitization response.
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Affiliation(s)
- M M Strauss
- Motivation and Emotion Neuroscience Collaboration, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, 02129, USA.
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Makris N, Gasic GP, Seidman LJ, Goldstein JM, Gastfriend DR, Elman I, Albaugh MD, Hodge SM, Ziegler DA, Sheahan FS, Caviness VS, Tsuang MT, Kennedy DN, Hyman SE, Rosen BR, Breiter HC. Decreased absolute amygdala volume in cocaine addicts. Neuron 2005; 44:729-40. [PMID: 15541319 DOI: 10.1016/j.neuron.2004.10.027] [Citation(s) in RCA: 121] [Impact Index Per Article: 6.4] [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: 05/12/2004] [Revised: 08/26/2004] [Accepted: 09/28/2004] [Indexed: 11/19/2022]
Abstract
The amygdala is instrumental to a set of brain processes that lead to cocaine consumption, including those that mediate reward and drug craving. This study examined the volumes of the amygdala and hippocampus in cocaine-addicted subjects and matched healthy controls and determined that the amygdala but not the hippocampus was significantly reduced in volume. The right-left amygdala asymmetry in control subjects was absent in the cocaine addicts. Topological analysis of amygdala isosurfaces (population averages) revealed that the isosurface of the cocaine-dependent group undercut the anterior and superior surfaces of the control group, implicating a difference in the corticomedial and basolateral nuclei. In cocaine addicts, amygdala volume did not correlate with any measure of cocaine use. The amygdala symmetry coefficient did correlate with baseline but not cocaine-primed craving. These findings argue for a condition that predisposes the individual to cocaine dependence by affecting the amygdala, or a primary event early in the course of cocaine use.
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Affiliation(s)
- Nikos Makris
- Motivation and Emotion Neuroscience Collaboration, Department of Radiology, Harvard Medical School, Boston, MA 02129, USA
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48
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Huang-Hellinger FR, Breiter HC, McCormack G, Cohen MS, Kwong KK, Sutton JP, Savoy RL, Weisskoff RM, Davis TL, Baker JR, Belliveau JW, Rosen BR. Simultaneous functional magnetic resonance imaging and electrophysiological recording. Hum Brain Mapp 2004. [DOI: 10.1002/hbm.460030103] [Citation(s) in RCA: 92] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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Atri A, Sherman S, Norman KA, Kirchhoff BA, Nicolas MM, Greicius MD, Cramer SC, Breiter HC, Hasselmo ME, Stern CE. Blockade of Central Cholinergic Receptors Impairs New Learning and Increases Proactive Interference in a Word Paired-Associate Memory Task. Behav Neurosci 2004; 118:223-36. [PMID: 14979800 DOI: 10.1037/0735-7044.118.1.223] [Citation(s) in RCA: 113] [Impact Index Per Article: 5.7] [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] [Indexed: 11/08/2022]
Abstract
Experimental data and computational models suggest that blockade of muscarinic cholinergic receptors impairs paired-associate learning and increases proactive interference (E. DeRosa & M. E. Hasselmo, 2000; M. E. Hasselmo & J. M. Bower, 1993). The results presented here provide evidence in humans supporting these hypotheses. Young healthy subjects first learned baseline word pairs (A-B) and, after a delay, learned additional overlapping (A-C) and nonoverlapping (D-E) word pairs. As predicted, when compared with subjects who received the active placebo glycopyrrolate (4 microg/kg) and subjects who were not injected, those who received scopolamine (8 microg/kg) showed (a) overall impairment in new word paired-associate learning, but no impairment in cued recall of previously learned associates; and (b) greater impairment in learning overlapping (A-C) compared with nonoverlapping (D-E) paired associates.
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Affiliation(s)
- Alireza Atri
- Boston University, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts 02215, USA
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50
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Elman I, Lukas SE, Karlsgodt KH, Gasic GP, Breiter HC. Acute cortisol administration triggers craving in individuals with cocaine dependence. Psychopharmacol Bull 2003; 37:84-9. [PMID: 14608241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/27/2023]
Abstract
Stress is often mentioned as a factor in the development of drug abuse. Twelve cocaine dependent individuals were administered a stress hormone, cortisol, along with cocaine and saline via intravenous boluses, in a double-blind, counterbalanced fashion. Self-reports of mood states were collected prior to, during, and 20 minutes after each bolus was administered. Cortisol produced significant increases in craving while cocaine significantly elevated all subjective ratings (ie, craving, high, rush, and low). These pilot data suggest that cortisol can induce a state that is associated with drug abuse.
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Affiliation(s)
- Igor Elman
- Behavioral Psychopharmacology Research Laboratory, Harvard Medical School/McLean Hospital, Belmont, MA 02478, USA.
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