1
|
Giles MA, Cooper CM, Jha MK, Chin Fatt CR, Pizzagalli DA, Mayes TL, Webb CA, Greer TL, Etkin A, Trombello JM, Chase HW, Phillips ML, McInnis MG, Carmody T, Adams P, Parsey RV, McGrath PJ, Weissman M, Kurian BT, Fava M, Trivedi MH. Reward Behavior Disengagement, a Neuroeconomic Model-Based Objective Measure of Reward Pathology in Depression: Findings from the EMBARC Trial. Behav Sci (Basel) 2023; 13:619. [PMID: 37622759 PMCID: PMC10451479 DOI: 10.3390/bs13080619] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/28/2023] [Accepted: 07/21/2023] [Indexed: 08/26/2023] Open
Abstract
The probabilistic reward task (PRT) has identified reward learning impairments in those with major depressive disorder (MDD), as well as anhedonia-specific reward learning impairments. However, attempts to validate the anhedonia-specific impairments have produced inconsistent findings. Thus, we seek to determine whether the Reward Behavior Disengagement (RBD), our proposed economic augmentation of PRT, differs between MDD participants and controls, and whether there is a level at which RBD is high enough for depressed participants to be considered objectively disengaged. Data were gathered as part of the Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study, a double-blind, placebo-controlled clinical trial of antidepressant response. Participants included 195 individuals with moderate to severe MDD (Quick Inventory of Depressive Symptomatology (QIDS-SR) score ≥ 15), not in treatment for depression, and with complete PRT data. Healthy controls (n = 40) had no history of psychiatric illness, a QIDS-SR score < 8, and complete PRT data. Participants with MDD were treated with sertraline or placebo for 8 weeks (stage I of the EMBARC trial). RBD was applied to PRT data using discriminant analysis, and classified MDD participants as reward task engaged (n = 137) or reward task disengaged (n = 58), relative to controls. Reward task engaged/disengaged groups were compared on sociodemographic features, reward-behavior, and sertraline/placebo response (Hamilton Depression Rating Scale scores). Reward task disengaged MDD participants responded only to sertraline, whereas those who were reward task engaged responded to sertraline and placebo (F(1293) = 4.33, p = 0.038). Reward task engaged/disengaged groups did not differ otherwise. RBD was predictive of reward impairment in depressed patients and may have clinical utility in identifying patients who will benefit from antidepressants.
Collapse
Affiliation(s)
- Michael A. Giles
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Crystal M. Cooper
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA (T.L.G.)
- Jane and John Justin Neurosciences Center, Cook Children’s Health Care System, Fort Worth, TX 76104, USA
| | - Manish K. Jha
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA (T.L.G.)
| | - Cherise R. Chin Fatt
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA (T.L.G.)
| | - Diego A. Pizzagalli
- Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
- McLean Hospital, Belmont, MA 02478, USA
| | - Taryn L. Mayes
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA (T.L.G.)
| | - Christian A. Webb
- Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
- McLean Hospital, Belmont, MA 02478, USA
| | - Tracy L. Greer
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA (T.L.G.)
- Department of Psychology, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Amit Etkin
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Joseph M. Trombello
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA (T.L.G.)
| | - Henry W. Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Mary L. Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Melvin G. McInnis
- Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA
| | - Thomas Carmody
- Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Phillip Adams
- Department of Psychiatry, Columbia University, New York, NY 10032, USA
| | - Ramin V. Parsey
- Department of Psychiatry and Behavioral Health, Stony Brook University Renaissance School of Medicine, Stony Brook, NY 11794, USA
| | | | - Myrna Weissman
- Department of Psychiatry, Columbia University, New York, NY 10032, USA
| | - Benji T. Kurian
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Maurizio Fava
- Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
- Massachusetts General Hospital, Boston, MA 02114, USA
| | - Madhukar H. Trivedi
- Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute and Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA (T.L.G.)
| |
Collapse
|
2
|
Berl MM, Koop JI, Ailion A, Bearden DJ, Boyer K, Cooper CM, Decrow AM, Duong PH, Espe-Pfeifer P, Gabriel M, Hodges E, Marshall DF, McNally KA, Molnar AE, Olsen EK, Ono KE, Patrick KE, Paul BM, Romain J, Sepeta LN, Stilp RLH, Wilkening GN, Zaccariello M, Zelko F, Perry MS. Leveraging expertise and optimizing clinical research: Initial success of a pediatric epilepsy surgery collaborative. Epilepsia 2023. [PMID: 36897767 DOI: 10.1111/epi.17579] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 03/05/2023] [Accepted: 03/08/2023] [Indexed: 03/11/2023]
Abstract
OBJECTIVE Improve data-driven research to inform clinical decision-making with pediatric epilepsy surgery patients by expanding the Pediatric Epilepsy Research Consortium Epilepsy Surgery (PERC-Surgery) Workgroup to include neuropsychological data. This article reports on the process and initial success of this effort and characterizes the cognitive functioning of the largest multi-site pediatric epilepsy surgery cohort in the United States. METHODS Pediatric neuropsychologists from 18 institutions completed surveys regarding neuropsychological practice and the impact of involvement in the collaborative. Neuropsychological data were entered through an online database. Descriptive analyses examined the survey responses and cognitive functioning of the cohort. Statistical analyses examined which patients were evaluated and if composite scores differed by domain, demographics, measures used, or epilepsy characteristics. RESULTS Positive impact of participation was evident by attendance, survey responses, and the neuropsychological data entry of 534 presurgical epilepsy patients. This cohort, ages 6 months to 21 years, were majority White and non-Hispanic, and more likely to have private insurance. Mean intelligence quotient (IQ) scores were below to low average, with weaknesses in working memory and processing speed. Full-scale IQ (FSIQ) was lowest for patients with younger age at seizure onset, daily seizures, and magnetic resonance imaging (MRI) abnormalities. SIGNIFICANCE We established a collaborative network and fundamental infrastructure to address questions outlined by the Epilepsy Research Benchmarks. There is a wide range in the age and IQ of patients considered for pediatric epilepsy surgery, yet it appears that social determinants of health impact access to care. Consistent with other national cohorts, this US cohort has a downward shift in IQ associated with seizure severity.
Collapse
Affiliation(s)
- Madison M Berl
- Department of Neuropsychology, Departments of Psychiatry and Behavioral Sciences, Children's Research Institute, Children's National Hospital, George Washington University, Washington, DC, USA
| | - Jennifer I Koop
- Pediatric Neuropsychology, Children's Wisconsin, Medical College of Wisconsin Department of Neurology, Milwaukee, Wisconsin, USA
| | - Alyssa Ailion
- Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Donald J Bearden
- Children's Healthcare of Atlanta, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Katrina Boyer
- Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Crystal M Cooper
- Neurosciences Center, Cook Children's Medical Center, Jane and John Justin Institute for Mind Health, Fort Worth, Texas, USA
| | - Amanda M Decrow
- Division of Pediatric Psychology and Neuropsychology, Atrium Health Levine Children's Hospital, Charlotte, North Carolina, USA
| | - Priscilla H Duong
- Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Patricia Espe-Pfeifer
- Department of Psychiatry & Pediatrics, University of Iowa Hospitals and Clinics, Ames, Iowa, USA
| | - Marsha Gabriel
- Neurosciences Center, Cook Children's Medical Center, Jane and John Justin Institute for Mind Health, Fort Worth, Texas, USA
| | - Elise Hodges
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
| | - David F Marshall
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
| | - Kelly A McNally
- Department of Pediatric Psychology and Neuropsychology, Department of Pediatrics, Nationwide Children's Hospital, The Ohio State University, Columbus, Ohio, USA
| | - Andrew E Molnar
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Emily K Olsen
- Department of Pediatric Psychology, Oregon Health and Science University, Portland, Oregon, USA
| | - Kim E Ono
- Children's Healthcare of Atlanta, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Kristina E Patrick
- Department of Neurology, Department of Neurosciences, Seattle Children's Hospital, University of Washington, Seattle, Washington, United States
| | - Brianna M Paul
- Department of Neurology, University of California San Francisco, San Francisco, California, USA
| | | | - Leigh N Sepeta
- Department of Neuropsychology, Departments of Psychiatry and Behavioral Sciences, Children's Research Institute, Children's National Hospital, George Washington University, Washington, DC, USA
| | - Rebecca L H Stilp
- Department of Pediatric Neurosurgery, Norton Neuroscience Institute, Louisville, Kentucky, USA
| | - Greta N Wilkening
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Michael Zaccariello
- Department of Psychiatry and Psychology, Division of Neurocognitive Disorders, Mayo Clinic, Rochester, Minnesota, USA
| | - Frank Zelko
- Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - M Scott Perry
- Neurosciences Center, Cook Children's Medical Center, Jane and John Justin Institute for Mind Health, Fort Worth, Texas, USA
| | | |
Collapse
|
3
|
Kaiser RH, Chase HW, Phillips ML, Deckersbach T, Parsey RV, Fava M, McGrath PJ, Weissman M, Oquendo MA, McInnis MG, Carmody T, Cooper CM, Trivedi MH, Pizzagalli DA. Dynamic Resting-State Network Biomarkers of Antidepressant Treatment Response. Biol Psychiatry 2022; 92:533-542. [PMID: 35680431 PMCID: PMC10640874 DOI: 10.1016/j.biopsych.2022.03.020] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 03/02/2022] [Accepted: 03/23/2022] [Indexed: 12/26/2022]
Abstract
BACKGROUND Delivery of effective antidepressant treatment has been hampered by a lack of objective tools for predicting or monitoring treatment response. This study aimed to address this gap by testing novel dynamic resting-state functional network markers of antidepressant response. METHODS The Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study randomized adults with major depressive disorder to 8 weeks of either sertraline or placebo, and depression severity was evaluated longitudinally. Participants completed resting-state neuroimaging pretreatment and again after 1 week of treatment (n = 259 eligible for analyses). Coactivation pattern analyses identified recurrent whole-brain states of spatial coactivation, and computed time spent in each state for each participant was the main dynamic measure. Multilevel modeling estimated the associations between pretreatment network dynamics and sertraline response and between early (pretreatment to 1 week) changes in network dynamics and sertraline response. RESULTS Dynamic network markers of early sertraline response included increased time in network states consistent with canonical default and salience networks, together with decreased time in network states characterized by coactivation of cingulate and ventral limbic or temporal regions. The effect of sertraline on depression recovery was mediated by these dynamic network changes. In contrast, early changes in dynamic functioning of corticolimbic and frontoinsular-default networks were related to patterns of symptom recovery common across treatment groups. CONCLUSIONS Dynamic resting-state markers of early antidepressant response or general recovery may assist development of clinical tools for monitoring and predicting effective intervention.
Collapse
Affiliation(s)
- Roselinde H Kaiser
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado; Institute of Cognitive Science, University of Colorado Boulder, Boulder, Colorado; Renée Crown Wellness Institute, University of Colorado Boulder, Boulder, Colorado.
| | - Henry W Chase
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Thilo Deckersbach
- Department of Psychiatry, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts
| | - Ramin V Parsey
- Department of Psychiatry, Stony Brook University, Stony Brook, New York
| | - Maurizio Fava
- Department of Psychiatry, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts
| | - Patrick J McGrath
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Vagelos College of Physicians and Surgeons, New York, New York
| | - Myrna Weissman
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Vagelos College of Physicians and Surgeons, New York, New York
| | - Maria A Oquendo
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - Thomas Carmody
- Department of Psychiatry, University of Texas, Southwestern Medical Center, Dallas, Texas
| | - Crystal M Cooper
- Department of Psychiatry, University of Texas, Southwestern Medical Center, Dallas, Texas
| | - Madhukar H Trivedi
- Department of Psychiatry, University of Texas, Southwestern Medical Center, Dallas, Texas
| | - Diego A Pizzagalli
- Department of Psychiatry, Harvard Medical School and McLean Hospital, Boston, Massachusetts
| |
Collapse
|
4
|
Ang YS, Bruder GE, Keilp JG, Rutherford A, Alschuler DM, Pechtel P, Webb CA, Carmody T, Fava M, Cusin C, McGrath PJ, Weissman M, Parsey R, Oquendo MA, McInnis MG, Cooper CM, Deldin P, Trivedi MH, Pizzagalli DA. Exploration of baseline and early changes in neurocognitive characteristics as predictors of treatment response to bupropion, sertraline, and placebo in the EMBARC clinical trial. Psychol Med 2022; 52:2441-2449. [PMID: 33213541 PMCID: PMC7613805 DOI: 10.1017/s0033291720004286] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Treatment for major depressive disorder (MDD) is imprecise and often involves trial-and-error to determine the most effective approach. To facilitate optimal treatment selection and inform timely adjustment, the current study investigated whether neurocognitive variables could predict an antidepressant response in a treatment-specific manner. METHODS In the two-stage Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC) trial, outpatients with non-psychotic recurrent MDD were first randomized to an 8-week course of sertraline selective serotonin reuptake inhibitor or placebo. Behavioral measures of reward responsiveness, cognitive control, verbal fluency, psychomotor, and cognitive processing speeds were collected at baseline and week 1. Treatment responders then continued on another 8-week course of the same medication, whereas non-responders to sertraline or placebo were crossed-over under double-blinded conditions to bupropion noradrenaline/dopamine reuptake inhibitor or sertraline, respectively. Hamilton Rating for Depression scores were also assessed at baseline, weeks 8, and 16. RESULTS Greater improvements in psychomotor and cognitive processing speeds within the first week, as well as better pretreatment performance in these domains, were specifically associated with higher likelihood of response to placebo. Moreover, better reward responsiveness, poorer cognitive control and greater verbal fluency were associated with greater likelihood of response to bupropion in patients who previously failed to respond to sertraline. CONCLUSION These exploratory results warrant further scrutiny, but demonstrate that quick and non-invasive behavioral tests may have substantial clinical value in predicting antidepressant treatment response.
Collapse
Affiliation(s)
- Yuen-Siang Ang
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts, USA
| | - Gerard E. Bruder
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Vagelos College of Physicians and Surgeons, New York, USA
| | - John G. Keilp
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Vagelos College of Physicians and Surgeons, New York, USA
| | - Ashleigh Rutherford
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts, USA
| | - Daniel M. Alschuler
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Vagelos College of Physicians and Surgeons, New York, USA
| | - Pia Pechtel
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts, USA
| | - Christian A. Webb
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts, USA
| | - Thomas Carmody
- Department of Psychiatry, University of Texas, Southwestern Medical Center, Dallas, Texas, USA
| | - Maurizio Fava
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Cristina Cusin
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Patrick J. McGrath
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Vagelos College of Physicians and Surgeons, New York, USA
| | - Myrna Weissman
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Vagelos College of Physicians and Surgeons, New York, USA
| | - Ramin Parsey
- Department of Psychiatry, Stony Brook University, Stony Brook, New York, USA
| | - Maria A. Oquendo
- Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Melvin G. McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
| | - Crystal M. Cooper
- Department of Psychiatry, University of Texas, Southwestern Medical Center, Dallas, Texas, USA
| | - Patricia Deldin
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
| | - Madhukar H. Trivedi
- Department of Psychiatry, University of Texas, Southwestern Medical Center, Dallas, Texas, USA
| | - Diego A. Pizzagalli
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts, USA
- McLean Imaging Center, McLean Hospital, Belmont, Massachusetts, USA
| |
Collapse
|
5
|
Trombello JM, Cooper CM, Fatt CC, Grannemann BD, Carmody TJ, Jha MK, Mayes TL, Greer TL, Yezhuvath U, Aslan S, Pizzagalli DA, Weissman MM, Webb CA, Dillon DG, McGrath PJ, Fava M, Parsey RV, McInnis MG, Etkin A, Trivedi MH. Neural substrates of emotional conflict with anxiety in major depressive disorder: Findings from the Establishing Moderators and biosignatures of Antidepressant Response in Clinical Care (EMBARC) randomized controlled trial. J Psychiatr Res 2022; 149:243-251. [PMID: 35290819 PMCID: PMC9746288 DOI: 10.1016/j.jpsychires.2022.03.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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] [Received: 11/05/2021] [Revised: 02/16/2022] [Accepted: 03/07/2022] [Indexed: 12/16/2022]
Abstract
BACKGROUND The brain circuitry of depression and anxiety/fear is well-established, involving regions such as the limbic system and prefrontal cortex. We expand prior literature by examining the extent to which four discrete factors of anxiety (immediate state anxiety, physiological/panic, neuroticism/worry, and agitation/restlessness) among depressed outpatients are associated with differential responses during reactivity to and regulation of emotional conflict. METHODS A total of 172 subjects diagnosed with major depressive disorder underwent functional magnetic resonance imaging while performing an Emotional Stroop Task. Two main contrasts were examined using whole brain voxel wise analyses: emotional reactivity and emotion regulation. We also evaluated the association of these contrasts with the four aforementioned anxiety factors. RESULTS During emotional reactivity, participants with higher immediate state anxiety showed potentiated activation in the rolandic operculum and insula, while individuals with higher levels of physiological/panic demonstrated decreased activation in the posterior cingulate. No significant results emerged for any of the four factors on emotion regulation. When re-analyzing these statistically-significant brain regions through analyses of a subsample with (n = 92) and without (n = 80) a current anxiety disorder, no significant associations occurred among those without an anxiety disorder. Among those with an anxiety disorder, results were similar to the full sample, except the posterior cingulate was associated with the neuroticism/worry factor. CONCLUSIONS Divergent patterns of task-related brain activation across four discrete anxiety factors could be used to inform treatment decisions and target specific aspects of anxiety that involve intrinsic processing to attenuate overactive responses to emotional stimuli.
Collapse
Affiliation(s)
- Joseph M. Trombello
- Department of Psychiatry, Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas, TX, USA,Janssen Research & Development, LLC, Titusville, NJ, USA
| | - Crystal M. Cooper
- Department of Psychiatry, Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas, TX, USA,Neuroscience Research, Cook Children’s Medical Center, Fort Worth, TX, USA
| | - Cherise Chin Fatt
- Department of Psychiatry, Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Bruce D. Grannemann
- Department of Psychiatry, Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Thomas J. Carmody
- Department of Psychiatry, Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas, TX, USA,Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Manish K. Jha
- Department of Psychiatry, Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Taryn L. Mayes
- Department of Psychiatry, Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Tracy L. Greer
- Department of Psychiatry, Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas, TX, USA,Department of Psychology, The University of Texas at Arlington, Arlington, TX, USA
| | | | - Sina Aslan
- Department of Psychiatry, Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas, TX, USA,Advance MRI LLC, Frisco, TX, USA
| | - Diego A. Pizzagalli
- Harvard Medical School, McLean Hospital, Department of Psychiatry, Boston, MA, USA
| | - Myrna M. Weissman
- Columbia University, Department of Psychiatry, New York, NY, USA,New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Christian A. Webb
- Harvard Medical School, McLean Hospital, Department of Psychiatry, Boston, MA, USA
| | - Daniel G. Dillon
- Harvard Medical School, McLean Hospital, Department of Psychiatry, Boston, MA, USA
| | - Patrick J. McGrath
- Columbia University, Department of Psychiatry, New York, NY, USA,New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Maurizio Fava
- Massachusetts General Hospital, Department of Psychiatry, Boston, MA, USA
| | - Ramin V. Parsey
- Stony Brook University, Department of Psychiatry, Stony Brook, NY, USA
| | - Melvin G. McInnis
- University of Michigan, Department of Psychiatry, Ann Arbor, MI, USA
| | - Amit Etkin
- Stanford University School of Medicine, Department of Psychiatry, Palo Alto, CA, USA
| | - Madhukar H. Trivedi
- Department of Psychiatry, Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas, TX, USA,Corresponding author. Center for Depression Research and Clinical Care, Peter O’Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, USA. (M.H. Trivedi)
| |
Collapse
|
6
|
Chin Fatt CR, Cooper CM, Jha MK, Minhajuddin A, Rush AJ, Trombello JM, Fava M, McInnis M, Weissman M, Trivedi MH. Differential response to SSRI versus Placebo and distinct neural signatures among data-driven subgroups of patients with major depressive disorder. J Affect Disord 2021; 282:602-610. [PMID: 33445082 DOI: 10.1016/j.jad.2020.12.102] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 11/19/2020] [Accepted: 12/24/2020] [Indexed: 11/19/2022]
Abstract
OBJECTIVE To identify data-driven subgroups in Major Depressive Disorder (MDD) in order to elucidate underlying neural correlates and determine if these subgroups have utility in predicting response to antidepressant versus placebo. METHODS Using 27 clinical measures at baseline of Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care for Depression (EMBARC) study, participants with MDD (n=244) were sub grouped using principal component (PC) analysis. Baseline-to-week-8 changes in depression severity with sertraline versus placebo were compared in these subgroups. Resting-state functional connectivity of these subgroups were compared to those of healthy controls (n=38). RESULTS Eight subgroups were identified from four PCs: (PC1) severity of depression-associated symptoms, (PC2) sub-threshold mania and anhedonia, (PC3) childhood trauma, medical comorbidities, and sexual dysfunction, and (PC4) personality traits of openness and agreeableness. Participants with high childhood trauma experienced greater improvement with sertraline (Cohen's d=0.87), whereas those with either higher levels of subthreshold hypomanic symptoms (Cohen's d=0.67) or with lower levels of agreeableness and openness experienced greater improvement with placebo (Cohen's d=0.71). Participants with high childhood trauma had greater connectivity between salience and dorsal attention networks, whereas those with higher levels of subthreshold hypomanic symptoms and lower levels of agreeableness and openness had greater connectivity within limbic network and that of visual network with hippocampus and dorsal attention network. CONCLUSION Assessing history of childhood trauma, presence of subthreshold hypomanic symptoms and personality traits may help to identify subgroups of patients with MDD who respond differentially to sertraline or placebo and have distinct neural signatures.
Collapse
Affiliation(s)
- Cherise R Chin Fatt
- The University of Texas Southwestern Medical Center, Department of Psychiatry, Center for Depression Research and Clinical Care, Department of Psychiatry, 5323 Harry Hines Blvd., Dallas, TX, USA
| | - Crystal M Cooper
- The University of Texas Southwestern Medical Center, Department of Psychiatry, Center for Depression Research and Clinical Care, Department of Psychiatry, 5323 Harry Hines Blvd., Dallas, TX, USA
| | - Manish K Jha
- The University of Texas Southwestern Medical Center, Department of Psychiatry, Center for Depression Research and Clinical Care, Department of Psychiatry, 5323 Harry Hines Blvd., Dallas, TX, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place. Box 1230. New York, NY, 10029, USA
| | - Abu Minhajuddin
- The University of Texas Southwestern Medical Center, Department of Psychiatry, Center for Depression Research and Clinical Care, Department of Psychiatry, 5323 Harry Hines Blvd., Dallas, TX, USA
| | - A John Rush
- Department of Psychiatry and Behavioral Sciences, Duke-National University of Singapore, Singapore, 169857; Department of Psychiatry, Duke University Medical School, Durham, NC, USA; Department of Psychiatry, Texas Tech University, Health Science Center, Permian Basin, Midland, TX, USA
| | - Joseph M Trombello
- The University of Texas Southwestern Medical Center, Department of Psychiatry, Center for Depression Research and Clinical Care, Department of Psychiatry, 5323 Harry Hines Blvd., Dallas, TX, USA
| | - Maurizio Fava
- Department of Psychiatry, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02144, USA
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan School of Medicine, 4250 Plymouth Road, Ann Arbor, MI 48109-2700, USA
| | - Myrna Weissman
- New York State Psychiatric Institute & Department of Psychiatry, College of Physicians and Surgeons of Columbia University, 1051 Riverside Drive, New York, NY 10032, USA
| | - Madhukar H Trivedi
- The University of Texas Southwestern Medical Center, Department of Psychiatry, Center for Depression Research and Clinical Care, Department of Psychiatry, 5323 Harry Hines Blvd., Dallas, TX, USA.
| |
Collapse
|
7
|
Ang YS, Kaiser R, Deckersbach T, Almeida J, Phillips ML, Chase HW, Webb CA, Parsey R, Fava M, McGrath P, Weissman M, Adams P, Deldin P, Oquendo MA, McInnis MG, Carmody T, Bruder G, Cooper CM, Fatt CRC, Trivedi MH, Pizzagalli DA. Pretreatment Reward Sensitivity and Frontostriatal Resting-State Functional Connectivity Are Associated With Response to Bupropion After Sertraline Nonresponse. Biol Psychiatry 2020; 88:657-667. [PMID: 32507389 PMCID: PMC7529779 DOI: 10.1016/j.biopsych.2020.04.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [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] [Received: 12/02/2019] [Revised: 03/24/2020] [Accepted: 04/13/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Standard guidelines recommend selective serotonin reuptake inhibitors as first-line antidepressants for adults with major depressive disorder, but success is limited and patients who fail to benefit are often switched to non-selective serotonin reuptake inhibitor agents. This study investigated whether brain- and behavior-based markers of reward processing might be associated with response to bupropion after sertraline nonresponse. METHODS In a two-stage, double-blinded clinical trial, 296 participants were randomized to receive 8 weeks of sertraline or placebo in stage 1. Individuals who responded continued on another 8-week course of the same intervention in stage 2, while sertraline and placebo nonresponders crossed over to bupropion and sertraline, respectively. Data from 241 participants were analyzed. The stage 2 sample comprised 87 patients with major depressive disorder who switched medication and 38 healthy control subjects. A total of 116 participants with major depressive disorder treated with sertraline in stage 1 served as an independent replication sample. The probabilistic reward task and resting-state functional magnetic resonance imaging were administered at baseline. RESULTS Greater pretreatment reward sensitivity and higher resting-state functional connectivity between bilateral nucleus accumbens and rostral anterior cingulate cortex were associated with positive response to bupropion but not sertraline. Null findings for sertraline were replicated in the stage 1 sample. CONCLUSIONS Pretreatment reward sensitivity and frontostriatal connectivity may identify patients likely to benefit from bupropion following selective serotonin reuptake inhibitor failures. Results call for a prospective replication based on these biomarkers to advance clinical care.
Collapse
Affiliation(s)
- Yuen-Siang Ang
- Department of Psychiatry, Harvard Medical School, Boston, 25 Shattuck Street, Boston, MA 02115,Center for Depression, Anxiety and Stress Research, McLean Hospital, 115 Mill Street, Belmont, MA 02478
| | - Roselinde Kaiser
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO 80302
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114
| | - Jorge Almeida
- Department of Psychiatry, University of Texas at Austin, Dell Medical School, 1601 Trinity St., Austin, TX 78712
| | - Mary L. Phillips
- Department of Psychiatry, University of Pittsburgh, 3811 O’Hara St, Pittsburgh, PA 15213
| | - Henry W. Chase
- Department of Psychiatry, University of Pittsburgh, 3811 O’Hara St, Pittsburgh, PA 15213
| | - Christian A. Webb
- Department of Psychiatry, Harvard Medical School, Boston, 25 Shattuck Street, Boston, MA 02115,Center for Depression, Anxiety and Stress Research, McLean Hospital, 115 Mill Street, Belmont, MA 02478
| | - Ramin Parsey
- Department of Psychiatry, Stony Brook University, Stony Brook, 100 Nicolls Road, Stony Brook, NY 11794
| | - Maurizio Fava
- Department of Psychiatry, Harvard Medical School, Boston, 25 Shattuck Street, Boston, MA 02115,Department of Psychiatry, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114
| | - Patrick McGrath
- New York State Psychiatric Institute & Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, 1051 Riverside Drive, New York, NY 10032
| | - Myrna Weissman
- New York State Psychiatric Institute & Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, 1051 Riverside Drive, New York, NY 10032
| | - Phil Adams
- New York State Psychiatric Institute & Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, 1051 Riverside Drive, New York, NY 10032
| | - Patricia Deldin
- Department of Psychiatry, University of Michigan, 500 S State Street, Ann Arbor, MI 48109
| | - Maria A. Oquendo
- Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, 3400 Civic Center Blvd, Philadelphia, PA 19104
| | - Melvin G. McInnis
- Department of Psychiatry, University of Michigan, 500 S State Street, Ann Arbor, MI 48109
| | - Thomas Carmody
- Department of Psychiatry, University of Texas, Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Gerard Bruder
- New York State Psychiatric Institute & Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, 1051 Riverside Drive, New York, NY 10032
| | - Crystal M. Cooper
- Department of Psychiatry, University of Texas, Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Cherise R. Chin Fatt
- Department of Psychiatry, University of Texas, Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Madhukar H. Trivedi
- Department of Psychiatry, University of Texas, Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Diego A. Pizzagalli
- Department of Psychiatry, Harvard Medical School, Boston, 25 Shattuck Street, Boston, MA 02115,Center for Depression, Anxiety and Stress Research, McLean Hospital, 115 Mill Street, Belmont, MA 02478
| |
Collapse
|
8
|
Medeiros GC, Rush AJ, Jha M, Carmody T, Furman JL, Czysz AH, Trombello JM, Cooper CM, Trivedi MH. Positive and negative valence systems in major depression have distinct clinical features, response to antidepressants, and relationships with immunomarkers. Depress Anxiety 2020; 37:771-783. [PMID: 32187776 PMCID: PMC9900948 DOI: 10.1002/da.23006] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [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: 05/29/2019] [Revised: 12/11/2019] [Accepted: 02/24/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Heterogeneity in major depressive disorder (MDD) is well recognized but not well understood. Core depressive features are reward and emotional symptoms, which reflect dysfunctions in the positive valence (PV) and negative valence (NV) systems, respectively. This study assessed whether PV and NV systems (based on selected symptoms) were associated with different clinical features, antidepressant response, and levels of immunomarkers in adults with MDD. METHODS These analyses used data from combining medications to enhance depression outcomes study (N = 665; n = 166 for immunomarkers). PV and NV symptom scores were extracted from the clinician-rated 30-item Inventory of Depressive Symptomatology. Correlational analyses were conducted. RESULTS PV and NV symptom scores were substantially associated with different clinical features. PV symptoms (impaired motivation, impaired energy, and anhedonia) were independently associated with female gender (p < .001), older age (p = .012), and higher cognitive and physical impairment (p < .001) according to the 7-item Cognitive and Physical Functioning Questionnaire. Conversely, NV symptoms (anxiety and interpersonal sensitivity) were independently associated with younger age (p = .013), more anxious comorbidities (p = .001 for generalized anxiety disorder and p = .002 for social phobia) and other commonly associated noncriterion symptoms (p < .001). Overall, PV symptoms were more responsive to antidepressants than NV symptoms (p < .0001; Cohen's d = .455). A PV symptom score was positively correlated with the concentration of three proinflammatory and one anti-inflammatory factor. In contrast, an NV symptom score was negatively associated with only one proinflammatory immunomarker. CONCLUSIONS PV and NV system functions appear to be reflected in selected clinical symptoms that differentially relate to other clinical features, treatment outcomes, and immunological function.
Collapse
Affiliation(s)
- Gustavo C. Medeiros
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - A. John Rush
- Duke-National University of Singapore, Singapore,Department of Psychiatry, Duke University Medical School, Durham, NC, USA,Department of Psychiatry, Texas Tech Health Science Center, Permian Basin, TX, USA
| | - Manish Jha
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA,Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Thomas Carmody
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jennifer L. Furman
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Andrew H. Czysz
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Joseph M. Trombello
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Crystal M. Cooper
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Madhukar H. Trivedi
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| |
Collapse
|
9
|
Cooper CM, Chin Fatt CR, Liu P, Grannemann BD, Carmody T, Almeida JRC, Deckersbach T, Fava M, Kurian BT, Malchow AL, McGrath PJ, McInnis M, Oquendo MA, Parsey RV, Bartlett E, Weissman M, Phillips ML, Lu H, Trivedi MH. Discovery and replication of cerebral blood flow differences in major depressive disorder. Mol Psychiatry 2020; 25:1500-1510. [PMID: 31388104 DOI: 10.1038/s41380-019-0464-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [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] [Received: 10/16/2017] [Revised: 03/06/2019] [Accepted: 03/26/2019] [Indexed: 01/08/2023]
Abstract
Major depressive disorder (MDD) is a serious, heterogeneous disorder accompanied by brain-related changes, many of which are still to be discovered or refined. Arterial spin labeling (ASL) is a neuroimaging technique used to measure cerebral blood flow (CBF; perfusion) to understand brain function and detect differences among groups. CBF differences have been detected in MDD, and may reveal biosignatures of disease-state. The current work aimed to discover and replicate differences in CBF between MDD participants and healthy controls (HC) as part of the EMBARC study. Participants underwent neuroimaging at baseline, prior to starting study medication, to investigate biosignatures in MDD. Relative CBF (rCBF) was calculated and compared between 106 MDD and 36 HC EMBARC participants (whole-brain Discovery); and 58 MDD EMBARC participants and 58 HC from the DLBS study (region-of-interest Replication). Both analyses revealed reduced rCBF in the right parahippocampus, thalamus, fusiform and middle temporal gyri, as well as the left and right insula, for those with MDD relative to HC. Both samples also revealed increased rCBF in MDD relative to HC in both the left and right inferior parietal lobule, including the supramarginal and angular gyri. Cingulate and prefrontal regions did not fully replicate. Lastly, significant associations were detected between rCBF in replicated regions and clinical measures of MDD chronicity. These results (1) provide reliable evidence for ASL in detecting differences in perfusion for multiple brain regions thought to be important in MDD, and (2) highlight the potential role of using perfusion as a biosignature of MDD.
Collapse
Affiliation(s)
- Crystal M Cooper
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Cherise R Chin Fatt
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Peiying Liu
- Department of Radiology, Johns Hopkins University, Baltimore, MD, USA
| | - Bruce D Grannemann
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Thomas Carmody
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jorge R C Almeida
- Department of Psychiatry, Dell Medical School, University of Texas Austin, Austin, TX, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Maurizio Fava
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Benji T Kurian
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Ashley L Malchow
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Patrick J McGrath
- Department of Psychiatry, Columbia University, New York State Psychiatric Institute, New York, NY, USA
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Maria A Oquendo
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ramin V Parsey
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Elizabeth Bartlett
- Department of Psychiatry, Columbia University, New York State Psychiatric Institute, New York, NY, USA
| | - Myrna Weissman
- Department of Psychiatry, Columbia University, New York State Psychiatric Institute, New York, NY, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Hanzhang Lu
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Radiology, Johns Hopkins University, Baltimore, MD, USA
| | - Madhukar H Trivedi
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
| |
Collapse
|
10
|
Chin Fatt CR, Jha MK, Cooper CM, Fonzo G, South C, Grannemann B, Carmody T, Greer TL, Kurian B, Fava M, McGrath PJ, Adams P, McInnis M, Parsey RV, Weissman M, Phillips ML, Etkin A, Trivedi MH. Effect of Intrinsic Patterns of Functional Brain Connectivity in Moderating Antidepressant Treatment Response in Major Depression. Am J Psychiatry 2020; 177:143-154. [PMID: 31537090 DOI: 10.1176/appi.ajp.2019.18070870] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [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: 11/30/2022]
Abstract
OBJECTIVE Major depressive disorder is associated with aberrant resting-state functional connectivity across multiple brain networks supporting emotion processing, executive function, and reward processing. The purpose of this study was to determine whether patterns of resting-state connectivity between brain regions predict differential outcome to antidepressant medication (sertraline) compared with placebo. METHODS Participants in the Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study underwent structural and resting-state functional MRI at baseline. Participants were then randomly assigned to receive either sertraline or placebo treatment for 8 weeks (N=279). A region of interest-based approach was utilized to compute functional connectivity between brain regions. Linear mixed-model intent-to-treat analyses were used to identify brain regions that moderated (i.e., differentially predicted) outcomes between the sertraline and placebo arms. RESULTS Prediction of response to sertraline involved several within- and between-network connectivity patterns. In general, higher connectivity within the default mode network predicted better outcomes specifically for sertraline, as did greater between-network connectivity of the default mode and executive control networks. In contrast, both placebo and sertraline outcomes were predicted (in opposite directions) by between-network hippocampal connectivity. CONCLUSIONS This study identified specific functional network-based moderators of treatment outcome involving brain networks known to be affected by major depression. Specifically, functional connectivity patterns of brain regions between and within networks appear to play an important role in identifying a favorable response for a drug treatment for major depressive disorder.
Collapse
Affiliation(s)
- Cherise R Chin Fatt
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Manish K Jha
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Crystal M Cooper
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Gregory Fonzo
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Charles South
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Bruce Grannemann
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Thomas Carmody
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Tracy L Greer
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Benji Kurian
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Maurizio Fava
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Patrick J McGrath
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Phillip Adams
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Melvin McInnis
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Ramin V Parsey
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Myrna Weissman
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Mary L Phillips
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Amit Etkin
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| | - Madhukar H Trivedi
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Chin Fatt, Jha, Cooper, South, Grannemann, Carmody, Greer, Kurian, Trivedi); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York (Jha); Department of Psychiatry and Behavioral Sciences and Stanford Neurosciences Institute, Stanford University, Stanford, Calif. (Fonzo, Etkin); Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif. (Fonzo, Etkin); Department of Psychiatry, Massachusetts General Hospital, Boston (Fava); New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York (McGrath, Adams, Weissman); Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor (McInnis); Department of Psychiatry and Behavioral Science and Department of Radiology, Stony Brook University, Stony Brook, N.Y. (Parsey); and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Phillips)
| |
Collapse
|
11
|
Zhang Y, Shumlak U, Nelson BA, Golingo RP, Weber TR, Stepanov AD, Claveau EL, Forbes EG, Draper ZT, Mitrani JM, McLean HS, Tummel KK, Higginson DP, Cooper CM. Sustained Neutron Production from a Sheared-Flow Stabilized Z Pinch. Phys Rev Lett 2019; 122:135001. [PMID: 31012637 DOI: 10.1103/physrevlett.122.135001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 02/02/2019] [Indexed: 06/09/2023]
Abstract
The sheared-flow stabilized Z pinch has demonstrated long-lived plasmas with fusion-relevant parameters. We present the first experimental results demonstrating sustained, quasi-steady-state neutron production from the fusion Z-pinch experiment, operated with a mixture of 20% deuterium/80% hydrogen by pressure. Neutron emissions lasting approximately 5 μs are reproducibly observed with pinch currents of approximately 200 kA during an approximately 16 μs period of plasma quiescence. The average neutron yield is estimated to be (1.25±0.45)×10^{5} neutrons/pulse and scales with the square of the deuterium concentration. Coincident with the neutron signal, plasma temperatures of 1-2 keV and densities of approximately 10^{17} cm^{-3} with 0.3 cm pinch radii are measured with fully integrated diagnostics.
Collapse
Affiliation(s)
- Y Zhang
- Aerospace & Energetics Research Program, University of Washington, Seattle, Washington 98195, USA
| | - U Shumlak
- Aerospace & Energetics Research Program, University of Washington, Seattle, Washington 98195, USA
| | - B A Nelson
- Aerospace & Energetics Research Program, University of Washington, Seattle, Washington 98195, USA
| | - R P Golingo
- Aerospace & Energetics Research Program, University of Washington, Seattle, Washington 98195, USA
| | - T R Weber
- Aerospace & Energetics Research Program, University of Washington, Seattle, Washington 98195, USA
| | - A D Stepanov
- Aerospace & Energetics Research Program, University of Washington, Seattle, Washington 98195, USA
| | - E L Claveau
- Aerospace & Energetics Research Program, University of Washington, Seattle, Washington 98195, USA
| | - E G Forbes
- Aerospace & Energetics Research Program, University of Washington, Seattle, Washington 98195, USA
| | - Z T Draper
- Aerospace & Energetics Research Program, University of Washington, Seattle, Washington 98195, USA
| | - J M Mitrani
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - H S McLean
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - K K Tummel
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - D P Higginson
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - C M Cooper
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| |
Collapse
|
12
|
Cooper CM, Chin Fatt CR, Jha M, Fonzo GA, Grannemann BD, Carmody T, Ali A, Aslan S, Almeida JR, Deckersbach T, Fava M, Kurian BT, McGrath PJ, McInnis M, Parsey RV, Weissman M, Phillips ML, Lu H, Etkin A, Trivedi MH. Cerebral Blood Perfusion Predicts Response to Sertraline versus Placebo for Major Depressive Disorder in the EMBARC Trial. EClinicalMedicine 2019; 10:32-41. [PMID: 31193824 PMCID: PMC6543260 DOI: 10.1016/j.eclinm.2019.04.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 04/10/2019] [Accepted: 04/11/2019] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Major Depressive Disorder (MDD) has been associated with brain-related changes. However, biomarkers have yet to be defined that could "accurately" identify antidepressant-responsive patterns and reduce the trial-and-error process in treatment selection. Cerebral blood perfusion, as measured by Arterial Spin Labelling (ASL), has been used to understand resting-state brain function, detect abnormalities in MDD, and could serve as a marker for treatment selection. As part of a larger trial to identify predictors of treatment outcome, the current investigation aimed to identify perfusion predictors of treatment response in MDD. METHODS For this secondary analysis, participants include 231 individuals with MDD from the EMBARC study, a randomised, placebo-controlled trial investigating clinical, behavioural, and biological predictors of antidepressant response. Participants received sertraline (n = 114) or placebo (n = 117) and response was monitored for 8 weeks. Pre-treatment neuroimaging was completed, including ASL. A whole-brain, voxel-wise linear mixed-effects model was conducted to identify brain regions in which perfusion levels differentially predict (moderate) treatment response. Clinical effectiveness of perfusion moderators was investigated by composite moderator analysis and remission rates. Composite moderator analysis combined the effect of individual perfusion moderators and identified which contribute to sertraline or placebo as the "preferred" treatment. Remission rates were calculated for participants "accurately" treated based on the composite moderator (lucky) versus "inaccurately" treated (unlucky). FINDINGS Perfusion levels in multiple brain regions differentially predicted improvement with sertraline over placebo. Of these regions, perfusion in the putamen and anterior insula, inferior temporal gyrus, fusiform, parahippocampus, inferior parietal lobule, and orbital frontal gyrus contributed to sertraline response. Remission rates increased from 37% for all those who received sertraline to 53% for those who were lucky to have received it and sertraline was their perfusion-preferred treatment. INTERPRETATION This large study showed that perfusion patterns in brain regions involved with reward, salience, affective, and default mode processing moderate treatment response favouring sertraline over placebo. Accurately matching patients with defined perfusion patterns could significantly increase remission rates. FUNDING National Institute of Mental Health, the Hersh Foundation, and the Center for Depression Research and Clinical Care, Peter O'Donnell Brain Institute at UT Southwestern Medical Center.Trial Registration.Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care for Depression (EMARC) Registration Number: NCT01407094 (https://clinicaltrials.gov/ct2/show/NCT01407094).
Collapse
Affiliation(s)
- Crystal M. Cooper
- Department of Psychiatry, University of Texas Southwestern Medical Center, United States of America
| | - Cherise R. Chin Fatt
- Department of Psychiatry, University of Texas Southwestern Medical Center, United States of America
| | - Manish Jha
- Department of Psychiatry, University of Texas Southwestern Medical Center, United States of America
| | - Gregory A. Fonzo
- Department of Psychiatry and behavioural Sciences, Stanford University School of Medicine, United States of America
- Stanford Neurosciences Institute, Stanford University, United States of America
- Sierra Pacific Mental Illness, Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, United States of America
| | - Bruce D. Grannemann
- Department of Psychiatry, University of Texas Southwestern Medical Center, United States of America
| | - Thomas Carmody
- Department of Psychiatry, University of Texas Southwestern Medical Center, United States of America
| | - Aasia Ali
- Department of Psychiatry, University of Texas Southwestern Medical Center, United States of America
| | - Sina Aslan
- Department of Psychiatry, University of Texas Southwestern Medical Center, United States of America
- Advance MRI, LLC, United States of America
| | - Jorge R.C. Almeida
- Department of Psychiatry, University of Texas Austin, United States of America
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, United States of America
| | - Maurizio Fava
- Department of Psychiatry, Massachusetts General Hospital, United States of America
| | - Benji T. Kurian
- Department of Psychiatry, University of Texas Southwestern Medical Center, United States of America
| | - Patrick J. McGrath
- Department of Psychiatry, Columbia University, New York State Psychiatric Institute, United States of America
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan School of Medicine, United States of America
| | - Ramin V. Parsey
- Departments of Psychiatry, Stony Brook University, United States of America
| | - Myrna Weissman
- Department of Psychiatry, Columbia University, New York State Psychiatric Institute, United States of America
| | - Mary L. Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, United States of America
| | - Hanzhang Lu
- Department of Psychiatry, University of Texas Southwestern Medical Center, United States of America
- Department of Radiology, Johns Hopkins University, United States of America
| | - Amit Etkin
- Department of Psychiatry and behavioural Sciences, Stanford University School of Medicine, United States of America
- Stanford Neurosciences Institute, Stanford University, United States of America
- Sierra Pacific Mental Illness, Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Healthcare System, United States of America
| | - Madhukar H. Trivedi
- Department of Psychiatry, University of Texas Southwestern Medical Center, United States of America
| |
Collapse
|
13
|
Bartlett EA, DeLorenzo C, Sharma P, Yang J, Zhang M, Petkova E, Weissman M, McGrath PJ, Fava M, Ogden RT, Kurian BT, Malchow A, Cooper CM, Trombello JM, McInnis M, Adams P, Oquendo MA, Pizzagalli DA, Trivedi M, Parsey RV. Pretreatment and early-treatment cortical thickness is associated with SSRI treatment response in major depressive disorder. Neuropsychopharmacology 2018; 43:2221-2230. [PMID: 29955151 PMCID: PMC6135779 DOI: 10.1038/s41386-018-0122-9] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [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] [Received: 01/16/2018] [Revised: 05/30/2018] [Accepted: 06/11/2018] [Indexed: 12/19/2022]
Abstract
To date, there are no biomarkers for major depressive disorder (MDD) treatment response in clinical use. Such biomarkers could allow for individualized treatment selection, reducing time spent on ineffective treatments and the burden of MDD. In search of such a biomarker, multisite pretreatment and early-treatment (1 week into treatment) structural magnetic resonance (MR) images were acquired from 184 patients with MDD randomized to an 8-week trial of the selective serotonin reuptake inhibitor (SSRI) sertraline or placebo. This study represents a large, multisite, placebo-controlled effort to examine the association between pretreatment differences or early-treatment changes in cortical thickness and treatment-specific outcomes. For standardization, a novel, robust site harmonization procedure was applied to structural measures in a priori regions (rostral and caudal anterior cingulate, lateral orbitofrontal, rostral middle frontal, and hippocampus), chosen based on previously published reports. Pretreatment cortical thickness or volume did not significantly associate with SSRI response. Thickening of the rostral anterior cingulate cortex in the first week of treatment was associated with better 8-week responses to SSRI (p = 0.010). These findings indicate that frontal lobe structural alterations in the first week of treatment may be associated with long-term treatment efficacy. While these associational findings may help to elucidate the specific neural targets of SSRIs, the predictive accuracy of pretreatment or early-treatment structural alterations in classifying treatment remitters from nonremitters was limited to 63.9%. Therefore, in this large sample of adults with MDD, structural MR imaging measures were not found to be clinically translatable biomarkers of treatment response to SSRI or placebo.
Collapse
Affiliation(s)
- Elizabeth A. Bartlett
- 0000 0001 2216 9681grid.36425.36Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY USA
| | - Christine DeLorenzo
- 0000 0001 2216 9681grid.36425.36Department of Psychiatry, Stony Brook University, Stony Brook, NY USA
| | - Priya Sharma
- 0000 0001 2216 9681grid.36425.36Department of Psychiatry, Stony Brook University, Stony Brook, NY USA
| | - Jie Yang
- 0000 0001 2216 9681grid.36425.36Department of Family, Population, and Preventive Medicine, Stony Brook University, Stony Brook, NY USA
| | - Mengru Zhang
- 0000 0001 2216 9681grid.36425.36Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY USA
| | - Eva Petkova
- 0000 0001 2109 4251grid.240324.3Department of Child & Adolescent Psychiatry, Department of Population Health, New York University Langone Medical Center, NY, NY USA
| | - Myrna Weissman
- 0000000419368729grid.21729.3fDepartment of Psychiatry, Columbia University College of Physicians & Surgeons and New York State Psychiatric Institute, NY, NY USA
| | - Patrick J. McGrath
- 0000000419368729grid.21729.3fDepartment of Psychiatry, Columbia University College of Physicians & Surgeons and New York State Psychiatric Institute, NY, NY USA
| | - Maurizio Fava
- 0000 0004 0386 9924grid.32224.35Department of Psychiatry, Massachusetts General Hospital, Boston, MA USA
| | - R. Todd Ogden
- 0000000419368729grid.21729.3fDepartment of Biostatistics, Columbia University, NY, NY USA
| | - Benji T. Kurian
- 0000 0000 9482 7121grid.267313.2Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX USA
| | - Ashley Malchow
- 0000 0000 9482 7121grid.267313.2Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX USA
| | - Crystal M. Cooper
- 0000 0000 9482 7121grid.267313.2Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX USA
| | - Joseph M. Trombello
- 0000 0000 9482 7121grid.267313.2Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX USA
| | - Melvin McInnis
- 0000000086837370grid.214458.eDepartment of Psychiatry, University of Michigan, Ann Arbor, MI USA
| | - Phillip Adams
- 0000000419368729grid.21729.3fDepartment of Psychiatry, Columbia University College of Physicians & Surgeons and New York State Psychiatric Institute, NY, NY USA
| | - Maria A. Oquendo
- 0000 0004 1936 8972grid.25879.31Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA
| | - Diego A. Pizzagalli
- 000000041936754Xgrid.38142.3cDepartment of Psychiatry, Harvard Medical School, Boston, MA USA
| | - Madhukar Trivedi
- 0000 0000 9482 7121grid.267313.2Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX USA
| | - Ramin V. Parsey
- 0000 0001 2216 9681grid.36425.36Department of Psychiatry, Stony Brook University, Stony Brook, NY USA
| |
Collapse
|
14
|
Yang J, Zhang M, Ahn H, Zhang Q, Jin TB, Li I, Nemesure M, Joshi N, Jiang H, Miller JM, Ogden RT, Petkova E, Milak MS, Sublette ME, Sullivan GM, Trivedi MH, Weissman M, McGrath PJ, Fava M, Kurian BT, Pizzagalli DA, Cooper CM, McInnis M, Oquendo MA, Mann JJ, Parsey RV, DeLorenzo C. Development and evaluation of a multimodal marker of major depressive disorder. Hum Brain Mapp 2018; 39:4420-4439. [PMID: 30113112 DOI: 10.1002/hbm.24282] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 05/16/2018] [Accepted: 06/04/2018] [Indexed: 12/30/2022] Open
Abstract
This study aimed to identify biomarkers of major depressive disorder (MDD), by relating neuroimage-derived measures to binary (MDD/control), ordinal (severe MDD/mild MDD/control), or continuous (depression severity) outcomes. To address MDD heterogeneity, factors (severity of psychic depression, motivation, anxiety, psychosis, and sleep disturbance) were also used as outcomes. A multisite, multimodal imaging (diffusion MRI [dMRI] and structural MRI [sMRI]) cohort (52 controls and 147 MDD patients) and several modeling techniques-penalized logistic regression, random forest, and support vector machine (SVM)-were used. An additional cohort (25 controls and 83 MDD patients) was used for validation. The optimally performing classifier (SVM) had a 26.0% misclassification rate (binary), 52.2 ± 1.69% accuracy (ordinal) and r = .36 correlation coefficient (p < .001, continuous). Using SVM, R2 values for prediction of any MDD factors were <10%. Binary classification in the external data set resulted in 87.95% sensitivity and 32.00% specificity. Though observed classification rates are too low for clinical utility, four image-based features contributed to accuracy across all models and analyses-two dMRI-based measures (average fractional anisotropy in the right cuneus and left insula) and two sMRI-based measures (asymmetry in the volume of the pars triangularis and the cerebellum) and may serve as a priori regions for future analyses. The poor accuracy of classification and predictive results found here reflects current equivocal findings and sheds light on challenges of using these modalities for MDD biomarker identification. Further, this study suggests a paradigm (e.g., multiple classifier evaluation with external validation) for future studies to avoid nongeneralizable results.
Collapse
Affiliation(s)
- Jie Yang
- Department of Family, Population and Preventive Medicine, Stony Brook University, New York, New York
| | - Mengru Zhang
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, New York
| | - Hongshik Ahn
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, New York
| | - Qing Zhang
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, New York
| | - Tony B Jin
- Department of Psychiatry, Stony Brook University, New York, New York
| | - Ien Li
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey
| | - Matthew Nemesure
- Integrative Neuroscience Program, Binghamton University, Binghamton, New York
| | - Nandita Joshi
- Department of Electrical and Computer Engineering, Stony Brook University, New York, New York
| | - Haoran Jiang
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, New York
| | - Jeffrey M Miller
- Department of Psychiatry, Columbia University, New York, New York
| | | | - Eva Petkova
- Department of Child & Adolescent Psychiatry, Department of Population Health, New York University, New York, New York
| | - Matthew S Milak
- Department of Psychiatry, Columbia University, New York, New York
| | | | - Gregory M Sullivan
- Chief Medical Officer, Clinical Research and Development program, Tonix Pharmaceuticals, Inc., New York, New York
| | - Madhukar H Trivedi
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Myrna Weissman
- Department of Psychiatry, Columbia University, New York, New York
| | | | - Maurizio Fava
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Benji T Kurian
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | | | - Crystal M Cooper
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - Maria A Oquendo
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Joseph John Mann
- Department of Psychiatry, Columbia University, New York, New York
| | - Ramin V Parsey
- Department of Psychiatry, Stony Brook University, New York, New York
| | | |
Collapse
|
15
|
Trombello JM, Pizzagalli DA, Weissman MM, Grannemann BD, Cooper CM, Greer TL, Malchow AL, Jha M, Carmody TJ, Kurian BT, Webb CA, Dillon DG, McGrath PJ, Bruder G, Fava M, Parsey RV, McInnis MG, Adams P, Trivedi MH. Characterizing anxiety subtypes and the relationship to behavioral phenotyping in major depression: Results from the EMBARC study. J Psychiatr Res 2018; 102:207-215. [PMID: 29689518 PMCID: PMC6097520 DOI: 10.1016/j.jpsychires.2018.04.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [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] [Received: 10/05/2017] [Revised: 03/29/2018] [Accepted: 04/05/2018] [Indexed: 01/05/2023]
Abstract
The current study aimed to characterize the multifaceted nature of anxiety in patients with major depression by evaluating distinct anxiety factors. We then related these derived anxiety factors to performance on a Flanker Task of cognitive control, in order to further validate these factors. Data were collected from 195 patients with nonpsychotic chronic or recurrent major depression or dysthymic disorder. At baseline, participants completed self-report measures of anxiety, depression, and other related symptoms (mania, suicidality) and clinicians administered a structured diagnostic interview and the Hamilton Rating Scale for Depression, including anxiety/somatization items. Four discrete factors (State Anxiety, Panic, Neuroticism/Worry, and Restlessness/Agitation) emerged, with high degrees of internal consistency. Discriminant and convergent validity analyses also yielded findings in the expected direction. Furthermore, the neuroticism/worry factor was associated with Flanker Task interference, such that individuals higher on neuroticism/worry responded more incorrectly (yet faster) to incongruent vs. congruent trials whereas individuals higher on the fear/panic factor responded more slowly, with no accuracy effect, to the Flanker Task stimuli. These results parse anxiety into four distinct factors that encompass physiological, psychological, and cognitive components of anxiety. While state anxiety, panic and neuroticism/worry are related to existing measures of anxiety, the Restlessness/Agitation factor appears to be a unique measure of general anxious arousal. Furthermore, two factors were independently validated through the Flanker Task. These results suggest that these anxiety domains have distinct behavioral profiles and could have differential responses to distinct treatments.
Collapse
Affiliation(s)
- Joseph M. Trombello
- The University of Texas Southwestern Medical Center, Department of Psychiatry, Center for Depression Research and Clinical Care, Department of Psychiatry, Dallas, TX, USA
| | - Diego A. Pizzagalli
- Harvard Medical School – McLean Hospital, Department of Psychiatry, Boston, MA, USA
| | - Myrna M. Weissman
- Columbia University, Department of Psychiatry, New York, NY, USA, New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Bruce D. Grannemann
- The University of Texas Southwestern Medical Center, Department of Psychiatry, Center for Depression Research and Clinical Care, Department of Psychiatry, Dallas, TX, USA
| | - Crystal M. Cooper
- The University of Texas Southwestern Medical Center, Department of Psychiatry, Center for Depression Research and Clinical Care, Department of Psychiatry, Dallas, TX, USA
| | - Tracy L. Greer
- The University of Texas Southwestern Medical Center, Department of Psychiatry, Center for Depression Research and Clinical Care, Department of Psychiatry, Dallas, TX, USA
| | - Ashley L. Malchow
- The University of Texas Southwestern Medical Center, Department of Psychiatry, Center for Depression Research and Clinical Care, Department of Psychiatry, Dallas, TX, USA
| | - Manish Jha
- The University of Texas Southwestern Medical Center, Department of Psychiatry, Center for Depression Research and Clinical Care, Department of Psychiatry, Dallas, TX, USA
| | - Thomas J. Carmody
- The University of Texas Southwestern Medical Center, Department of Psychiatry, Center for Depression Research and Clinical Care, Department of Psychiatry, Dallas, TX, USA
| | - Benji T. Kurian
- The University of Texas Southwestern Medical Center, Department of Psychiatry, Center for Depression Research and Clinical Care, Department of Psychiatry, Dallas, TX, USA
| | - Christian A. Webb
- Harvard Medical School – McLean Hospital, Department of Psychiatry, Boston, MA, USA
| | - Daniel G. Dillon
- Harvard Medical School – McLean Hospital, Department of Psychiatry, Boston, MA, USA
| | - Patrick J. McGrath
- Columbia University, Department of Psychiatry, New York, NY, USA, New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Gerard Bruder
- Columbia University, Department of Psychiatry, New York, NY, USA, New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Maurizio Fava
- Massachusetts General Hospital, Department of Psychiatry, Boston, MA, USA
| | - Ramin V. Parsey
- Stony Brook University, Department of Psychiatry, Stony Brook, NY, USA
| | - Melvin G. McInnis
- University of Michigan, Department of Psychiatry, Ann Arbor, MI, USA
| | - Phil Adams
- New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Madhukar H. Trivedi
- The University of Texas Southwestern Medical Center, Department of Psychiatry, Center for Depression Research and Clinical Care, Department of Psychiatry, Dallas, TX, USA
| |
Collapse
|
16
|
Almeida JRC, Greenberg T, Lu H, Chase HW, Fournier JC, Cooper CM, Deckersbach T, Adams P, Carmody T, Fava M, Kurian B, McGrath PJ, McInnis MG, Oquendo MA, Parsey R, Weissman M, Trivedi M, Phillips ML. Test-retest reliability of cerebral blood flow in healthy individuals using arterial spin labeling: Findings from the EMBARC study. Magn Reson Imaging 2017; 45:26-33. [PMID: 28888770 DOI: 10.1016/j.mri.2017.09.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Revised: 03/17/2017] [Accepted: 09/01/2017] [Indexed: 12/20/2022]
Abstract
INTRODUCTION Previous investigations of test-retest reliability of cerebral blood flow (CBF) at rest measured with pseudo-continuous Arterial Spin Labeling (pCASL) demonstrated good reliability, but are limited by the use of similar scanner platforms. In the present study we examined test-retest reliability of CBF in regions implicated in emotion and the default mode network. MATERIAL AND METHODS We measured absolute and relative CBF at rest in thirty-one healthy subjects in two scan sessions, one week apart, at four different sites and three different scan platforms. We derived CBF from pCASL images with an automated algorithm and calculated intra-class correlation coefficients (ICCs) across sessions for regions of interest. In addition, we investigated site effects. RESULTS For both absolute and relative CBF measures, ICCs were good to excellent (i.e. >0.6) in most brain regions, with highest values observed for the subgenual anterior cingulate cortex and ventral striatum. A leave-one-site-out cross validation analysis did not show a significant effect for site on whole brain CBF and there was no proportional bias across sites. However, a significant site effect was present in the repeated measures ANOVA. CONCLUSIONS The high test-retest reliability of CBF measured with pCASL in a range of brain regions implicated in emotion and salience processing, emotion regulation, and the default mode network, which have been previously linked to depression symptomatology supports its use in studies that aim to identify neuroimaging biomarkers of treatment response.
Collapse
Affiliation(s)
- Jorge R C Almeida
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA; Department of Psychiatry, Brown University School of Medicine, Providence, RI 02906, USA; Departments of Psychiatry, Dell Medical School, University of Texas at Austin, Austin, TX 78712, USA.
| | - Tsafrir Greenberg
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Hanzhang Lu
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
| | - Henry W Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Jay C Fournier
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Crystal M Cooper
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Phil Adams
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
| | - Thomas Carmody
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
| | - Maurizio Fava
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Benji Kurian
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
| | - Patrick J McGrath
- Department of Psychiatry, Columbia University College of Physicians and Surgeons and the New York State Psychiatric Institute, New York, NY 10032, USA
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA
| | - Maria A Oquendo
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-3309, USA
| | - Ramin Parsey
- Departments of Psychiatry & Radiology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Myrna Weissman
- Department of Psychiatry, Columbia University College of Physicians and Surgeons and the New York State Psychiatric Institute, New York, NY 10032, USA
| | - Madhukar Trivedi
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| |
Collapse
|
17
|
Paz-Soldan C, Cooper CM, Aleynikov P, Pace DC, Eidietis NW, Brennan DP, Granetz RS, Hollmann EM, Liu C, Lvovskiy A, Moyer RA, Shiraki D. Spatiotemporal Evolution of Runaway Electron Momentum Distributions in Tokamaks. Phys Rev Lett 2017; 118:255002. [PMID: 28696735 DOI: 10.1103/physrevlett.118.255002] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Indexed: 06/07/2023]
Abstract
Novel spatial, temporal, and energetically resolved measurements of bremsstrahlung hard-x-ray (HXR) emission from runaway electron (RE) populations in tokamaks reveal nonmonotonic RE distribution functions whose properties depend on the interplay of electric field acceleration with collisional and synchrotron damping. Measurements are consistent with theoretical predictions of momentum-space attractors that accumulate runaway electrons. RE distribution functions are measured to shift to a higher energy when the synchrotron force is reduced by decreasing the toroidal magnetic field strength. Increasing the collisional damping by increasing the electron density (at a fixed magnetic and electric field) reduces the energy of the nonmonotonic feature and reduces the HXR growth rate at all energies. Higher-energy HXR growth rates extrapolate to zero at the expected threshold electric field for RE sustainment, while low-energy REs are anomalously lost. The compilation of HXR emission from different sight lines into the plasma yields energy and pitch-angle-resolved RE distributions and demonstrates increasing pitch-angle and radial gradients with energy.
Collapse
Affiliation(s)
- C Paz-Soldan
- General Atomics, San Diego, California 92186, USA
| | - C M Cooper
- Oak Ridge Associated Universities, Oak Ridge, Tennessee 37831, USA
| | - P Aleynikov
- Max-Planck Institute for Plasma Physics, Greifswald, Germany
| | - D C Pace
- General Atomics, San Diego, California 92186, USA
| | - N W Eidietis
- General Atomics, San Diego, California 92186, USA
| | - D P Brennan
- Princeton University, Princeton, New Jersey 05764, USA
| | - R S Granetz
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - E M Hollmann
- University of California-San Diego, La Jolla, California 92093, USA
| | - C Liu
- Princeton University, Princeton, New Jersey 05764, USA
| | - A Lvovskiy
- Oak Ridge Associated Universities, Oak Ridge, Tennessee 37831, USA
| | - R A Moyer
- University of California-San Diego, La Jolla, California 92093, USA
| | - D Shiraki
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| |
Collapse
|
18
|
Cooper CM, Pace DC, Paz-Soldan C, Commaux N, Eidietis NW, Hollmann EM, Shiraki D. Applying the new gamma ray imager diagnostic to measurements of runaway electron Bremsstrahlung radiation in the DIII-D Tokamak (invited). Rev Sci Instrum 2016; 87:11E602. [PMID: 27910457 DOI: 10.1063/1.4961288] [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] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
A new gamma ray imager (GRI) is developed to probe the electron distribution function with 2D spatial resolution during runaway electron (RE) experiments at the DIII-D tokamak. The diagnostic is sensitive to 0.5-100 MeV gamma rays, allowing characterization of the RE distribution function evolution during RE growth and dissipation. The GRI consists of a lead "pinhole camera" mounted on the DIII-D midplane with 123 honeycombed tangential chords 20 cm wide that span the vessel interior. Up to 30 bismuth germanate (BGO) scintillation detectors capture RE bremsstrahlung radiation for Pulse Height Analysis (PHA) capable of discriminating up to 20 000 pulses per second. Digital signal processing routines combining shaping filters are performed during PHA to reject noise and record gamma ray energy. The GRI setup and PHA algorithms will be described and initial data from experiments will be presented. A synthetic diagnostic is developed to generate the gamma ray spectrum of a GRI channel given the plasma information and a prescribed distribution function. Magnetic reconstructions of the plasma are used to calculate the angle between every GRI sightline and orient and discriminate gamma rays emitted by a field-aligned RE distribution function.
Collapse
Affiliation(s)
- C M Cooper
- Oak Ridge Associated Universities, Oak Ridge, Tennessee 37830, USA
| | - D C Pace
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - C Paz-Soldan
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - N Commaux
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, USA
| | - N W Eidietis
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - E M Hollmann
- University of California, San Diego, La Jolla, California 92093-0533, USA
| | - D Shiraki
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, USA
| |
Collapse
|
19
|
Cooper CM, Briggs RW, Farris EA, Bartlett J, Haley RW, Odegard TN. Memory and functional brain differences in a national sample of U.S. veterans with Gulf War Illness. Psychiatry Res Neuroimaging 2016; 250:33-41. [PMID: 27017423 DOI: 10.1016/j.pscychresns.2016.03.004] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Revised: 01/29/2016] [Accepted: 03/12/2016] [Indexed: 01/07/2023]
Abstract
Roughly 26-32% of U. S. veterans who served in the 1991 Persian Gulf War report suffering from chronic health problems. Memory complaints are regularly reported by ill Gulf War veterans (GWV), but limited data verify their complaints. This study investigated episodic memory and brain function in a nationally representative sample of GWV, using a face-name memory task and functional magnetic resonance imaging during encoding. A syndrome classification system was used to subdivide ill GWV into the three major Gulf War Illness syndrome types, "impaired cognition" (GWV-1), "confusion ataxia" (GWV-2), and "central pain" (GWV-3). Memory and brain function of ill GWV were contrasted to deployed and nondeployed well GWV controls (GWV-C). Ill GWV exhibited impaired memory function relative to GWV-C but the patterns of functional brain differences varied. Brain activation differentiated the GWV-C from the ill GWV. The different syndrome types also differed from one another in several brain regions. Additionally, the current study was the first to observe differences in brain function between deployed and nondeployed GWV-C. These results provide (1) evidence of memory impairment in ill GWV and differentiate the syndrome types at a functional neurobiological level, and (2) the role of deployment in the war on brain function.
Collapse
Affiliation(s)
- Crystal M Cooper
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
| | - Richard W Briggs
- Department of Aging and Geriatric Research, University of Florida, Gainesville, FL, USA
| | - Emily A Farris
- Department of Psychology, University of Texas Permian Basin, Odessa, TX, USA
| | - James Bartlett
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA
| | - Robert W Haley
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Timothy N Odegard
- Department of Psychology, Middle Tennessee State University, Murfreesboro, TN, USA
| |
Collapse
|
20
|
Pace DC, Cooper CM, Taussig D, Eidietis NW, Hollmann EM, Riso V, Van Zeeland MA, Watkins M. Gamma ray imager on the DIII-D tokamak. Rev Sci Instrum 2016; 87:043507. [PMID: 27131674 DOI: 10.1063/1.4945566] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2016] [Accepted: 03/24/2016] [Indexed: 06/05/2023]
Abstract
A gamma ray camera is built for the DIII-D tokamak [J. Luxon, Nucl. Fusion 42, 614 (2002)] that provides spatial localization and energy resolution of gamma flux by combining a lead pinhole camera with custom-built detectors and optimized viewing geometry. This diagnostic system is installed on the outer midplane of the tokamak such that its 123 collimated sightlines extend across the tokamak radius while also covering most of the vertical extent of the plasma volume. A set of 30 bismuth germanate detectors can be secured in any of the available sightlines, allowing for customizable coverage in experiments with runaway electrons in the energy range of 1-60 MeV. Commissioning of the gamma ray imager includes the quantification of electromagnetic noise sources in the tokamak machine hall and a measurement of the energy spectrum of background gamma radiation. First measurements of gamma rays coming from the plasma provide a suitable testbed for implementing pulse height analysis that provides the energy of detected gamma photons.
Collapse
Affiliation(s)
- D C Pace
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - C M Cooper
- Oak Ridge Associated Universities, Oak Ridge, Tennessee 37830, USA
| | - D Taussig
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - N W Eidietis
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - E M Hollmann
- University of California-San Diego, 9500 Gilman Dr., La Jolla, California 92093-0417, USA
| | - V Riso
- State University of New York-Buffalo, 12 Capen Hall, Buffalo, New York 14260-1660, USA
| | - M A Van Zeeland
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - M Watkins
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| |
Collapse
|
21
|
Webb CA, Dillon DG, Pechtel P, Goer FK, Murray L, Huys QJM, Fava M, McGrath PJ, Weissman M, Parsey R, Kurian BT, Adams P, Weyandt S, Trombello JM, Grannemann B, Cooper CM, Deldin P, Tenke C, Trivedi M, Bruder G, Pizzagalli DA. Neural Correlates of Three Promising Endophenotypes of Depression: Evidence from the EMBARC Study. Neuropsychopharmacology 2016; 41:454-63. [PMID: 26068725 PMCID: PMC5130121 DOI: 10.1038/npp.2015.165] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [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] [Received: 02/16/2015] [Revised: 04/24/2015] [Accepted: 05/27/2015] [Indexed: 11/09/2022]
Abstract
Major depressive disorder (MDD) is clinically, and likely pathophysiologically, heterogeneous. A potentially fruitful approach to parsing this heterogeneity is to focus on promising endophenotypes. Guided by the NIMH Research Domain Criteria initiative, we used source localization of scalp-recorded EEG resting data to examine the neural correlates of three emerging endophenotypes of depression: neuroticism, blunted reward learning, and cognitive control deficits. Data were drawn from the ongoing multi-site EMBARC study. We estimated intracranial current density for standard EEG frequency bands in 82 unmedicated adults with MDD, using Low-Resolution Brain Electromagnetic Tomography. Region-of-interest and whole-brain analyses tested associations between resting state EEG current density and endophenotypes of interest. Neuroticism was associated with increased resting gamma (36.5-44 Hz) current density in the ventral (subgenual) anterior cingulate cortex (ACC) and orbitofrontal cortex (OFC). In contrast, reduced cognitive control correlated with decreased gamma activity in the left dorsolateral prefrontal cortex (dlPFC), decreased theta (6.5-8 Hz) and alpha2 (10.5-12 Hz) activity in the dorsal ACC, and increased alpha2 activity in the right dlPFC. Finally, blunted reward learning correlated with lower OFC and left dlPFC gamma activity. Computational modeling of trial-by-trial reinforcement learning further indicated that lower OFC gamma activity was linked to reduced reward sensitivity. Three putative endophenotypes of depression were found to have partially dissociable resting intracranial EEG correlates, reflecting different underlying neural dysfunctions. Overall, these findings highlight the need to parse the heterogeneity of MDD by focusing on promising endophenotypes linked to specific pathophysiological abnormalities.
Collapse
Affiliation(s)
- Christian A Webb
- Department of Psychiatry, Harvard Medical School and McLean Hospital, Belmont, MA, USA
| | - Daniel G Dillon
- Department of Psychiatry, Harvard Medical School and McLean Hospital, Belmont, MA, USA
| | - Pia Pechtel
- Department of Psychiatry, Harvard Medical School and McLean Hospital, Belmont, MA, USA
| | - Franziska K Goer
- Department of Psychiatry, Harvard Medical School and McLean Hospital, Belmont, MA, USA
| | - Laura Murray
- Department of Psychiatry, Harvard Medical School and McLean Hospital, Belmont, MA, USA
| | - Quentin JM Huys
- Centre for Addiction Disorders, Department of Psychiatry, Psychotherapy and Psychosomatics, Hospital of Psychiatry, University of Zurich, Switzerland,Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and Swiss Federal Institute of Technology (ETH) Zurich, Switzerland
| | - Maurizio Fava
- Clinical Research Program, Massachusetts General Hospital, Boston, MA, USA
| | - Patrick J McGrath
- Department of Psychiatry, New York State Psychiatric Institute, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Myrna Weissman
- Department of Psychiatry, New York State Psychiatric Institute, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Ramin Parsey
- Department of Psychiatry and Behavioral Science, Stony Brook University, Stony Brook, NY, USA
| | - Benji T Kurian
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Phillip Adams
- Department of Psychiatry, New York State Psychiatric Institute, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Sarah Weyandt
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Joseph M Trombello
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Bruce Grannemann
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Crystal M Cooper
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Patricia Deldin
- Department of Psychiatry, University of Michigan Health System, Ann Arbor, MI, USA
| | - Craig Tenke
- Department of Psychiatry, New York State Psychiatric Institute, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Madhukar Trivedi
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Gerard Bruder
- Department of Psychiatry, New York State Psychiatric Institute, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Diego A Pizzagalli
- Department of Psychiatry, Harvard Medical School and McLean Hospital, Belmont, MA, USA,Center for Depression, Anxiety, and Stress Research, McLean Hospital, Harvard Medical School, 115 Mill Street, Belmont, MA 02478, USA, Tel: +1 617 855 4230, Fax: +1 617 855 4230, E-mail:
| |
Collapse
|
22
|
Olvet DM, Delaparte L, Yeh F, DeLorenzo C, McGrath PJ, Weissman MM, Adams P, Fava M, Deckersbach T, McInnis MG, Carmody TJ, Cooper CM, Kurian BT, Lu H, Toups MS, Trivedi MH, Parsey RV. A COMPREHENSIVE EXAMINATION OF WHITE MATTER TRACTS AND CONNECTOMETRY IN MAJOR DEPRESSIVE DISORDER. Depress Anxiety 2016; 33:56-65. [PMID: 26477532 PMCID: PMC4701622 DOI: 10.1002/da.22445] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [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: 05/19/2015] [Revised: 09/04/2015] [Accepted: 09/21/2015] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is a debilitating disorder characterized by widespread brain abnormalities. The literature is mixed as to whether or not white matter abnormalities are associated with MDD. This study sought to examine fractional anisotropy (FA) in white matter tracts in individuals with MDD using diffusion tensor imaging (DTI). METHODS 139 participants with MDD and 39 healthy controls (HC) in a multisite study were included. DTI scans were acquired in 64 directions and FA was determined in the brain using four methods: region of interest (ROI), tract-based spatial statistics (TBSS), and diffusion tractography. Diffusion connectometry was used to identify white matter pathways associated with MDD. RESULTS There were no significant differences when comparing FA in MDD and HC groups using any method. In the MDD group, there was a significant relationship between depression severity and FA in the right medial orbitofrontal cortex, and between age of onset of MDD and FA in the right caudal anterior cingulate cortex using the ROI method. There was a significant relationship between age of onset and connectivity in the thalamocortical radiation, inferior longitudinal fasciculus, and cerebellar tracts using diffusion connectometry. CONCLUSIONS The lack of group differences in FA and connectometry analysis may result from the clinically heterogenous nature of MDD. However, the relationship between FA and depression severity may suggest a state biomarker of depression that should be investigated as a potential indicator of response. Age of onset may also be a significant clinical feature to pursue when studying white matter tracts.
Collapse
Affiliation(s)
- Doreen M. Olvet
- Department of PsychiatryStony Brook UniversityStony BrookNew York
| | - Lauren Delaparte
- Department of PsychologyStony Brook UniversityStony BrookNew York
| | - Fang‐Cheng Yeh
- Department of PsychologyCarnegie Mellon University, PittsburghPittsburgh
| | | | - Patrick J. McGrath
- Department of Psychiatry, New York State Psychiatric InstituteColumbia University College of Physicians and Surgeons, New YorkNew York
| | - Myrna M. Weissman
- Department of Psychiatry, New York State Psychiatric InstituteColumbia University College of Physicians and Surgeons, New YorkNew York
| | - Phillip Adams
- Department of Psychiatry, New York State Psychiatric InstituteColumbia University College of Physicians and Surgeons, New YorkNew York
| | - Maurizio Fava
- Department of PsychiatryMassachusetts General Hospital, BostonMassachusetts
| | - Thilo Deckersbach
- Department of PsychiatryMassachusetts General Hospital, BostonMassachusetts
| | - Melvin G. McInnis
- Department of PsychiatryUniversity of Michigan School of Medicine, Ann ArborMichigan
| | - Thomas J. Carmody
- Department of PsychiatryUniversity of Texas Southwestern Medical CenterDallasTexas
| | - Crystal M. Cooper
- Department of PsychiatryUniversity of Texas Southwestern Medical CenterDallasTexas
| | - Benji T. Kurian
- Department of PsychiatryUniversity of Texas Southwestern Medical CenterDallasTexas
| | - Hanzhang Lu
- Department of PsychiatryUniversity of Texas Southwestern Medical CenterDallasTexas
| | - Marisa S. Toups
- Department of PsychiatryUniversity of Texas Southwestern Medical CenterDallasTexas
| | - Madhukar H. Trivedi
- Department of PsychiatryUniversity of Texas Southwestern Medical CenterDallasTexas
| | - Ramin V. Parsey
- Department of PsychiatryStony Brook UniversityStony BrookNew York,Department of RadiologyStony Brook UniversityStony BrookNew York
| |
Collapse
|
23
|
Chau MM, Kong DCM, van Hal SJ, Urbancic K, Trubiano JA, Cassumbhoy M, Wilkes J, Cooper CM, Roberts JA, Marriott DJE, Worth LJ. Consensus guidelines for optimising antifungal drug delivery and monitoring to avoid toxicity and improve outcomes in patients with haematological malignancy, 2014. Intern Med J 2015; 44:1364-88. [PMID: 25482746 DOI: 10.1111/imj.12600] [Citation(s) in RCA: 83] [Impact Index Per Article: 9.2] [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: 11/26/2022]
Abstract
Antifungal agents may be associated with significant toxicity or drug interactions leading to sub-therapeutic antifungal drug concentrations and poorer clinical outcomes for patients with haematological malignancy. These risks may be minimised by clinical assessment, laboratory monitoring, avoidance of particular drug combinations and dose modification. Specific measures, such as the optimal timing of oral drug administration in relation to meals, use of pre-hydration and electrolyte supplementation may also be required. Therapeutic drug monitoring (TDM) of antifungal agents is warranted, especially where non-compliance, non-linear pharmacokinetics, inadequate absorption, a narrow therapeutic window, suspected drug interaction or unexpected toxicity are encountered. Recommended indications for voriconazole and posaconazole TDM in the clinical management of haematology patients are provided. With emerging knowledge regarding the impact of pharmacogenomics upon metabolism of azole agents (particularly voriconazole), potential applications of pharmacogenomic evaluation to clinical practice are proposed.
Collapse
Affiliation(s)
- M M Chau
- Pharmacy Department, The Royal Melbourne Hospital, Melbourne Health, Parkville, Victoria
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
24
|
Moore MT, Kröger R, Locke MA, Lizotte RE, Testa S, Cooper CM. Diazinon and permethrin mitigation across a grass-wetland buffer. Bull Environ Contam Toxicol 2014; 93:574-579. [PMID: 25145638 DOI: 10.1007/s00128-014-1357-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2014] [Accepted: 08/08/2014] [Indexed: 06/03/2023]
Abstract
Vegetated buffers of different designs are often used as edge-of-field treatment practices to remove pesticides that may be entrained in agricultural runoff. However, buffer system efficacy in pesticide runoff mitigation varies widely due to a multitude of factors including, but not limited to, pesticide chemistry, vegetation composition, and hydrology. Two experimental systems, a control (no vegetation) and a grass-wetland buffer system, were evaluated for their ability to retain diazinon and permethrin associated with a simulated storm runoff. The two systems were equally inefficient at retaining diazinon (mean 9.6 % retention for control and buffer). Grass-wetland buffers retained 83 % and 85 % of cis- and trans-permethrin masses, respectively, while the control only retained 39 % and 44 % of cis- and trans-permethrin masses, respectively. Half-distances (the distance required to decrease pesticide concentration by one-half) for both permethrin isomers were 26 %-30 % shorter in grass buffers (22-23 m) than in the control (32 m). The current study demonstrates treatment efficacy was a function of pesticide properties with the more strongly sorbing permethrin retained to a greater degree. The study also demonstrates challenges in remediating multiple pesticides with a single management practice. By using suites of management practices, especially those employing vegetation, better mitigation of pesticide impacts may be accomplished.
Collapse
Affiliation(s)
- M T Moore
- Water Quality and Ecology Research Unit, USDA-ARS National Sedimentation Laboratory, PO Box 1157, Oxford, MS, 38655, USA,
| | | | | | | | | | | |
Collapse
|
25
|
Fiello M, Mikell AT, Moore MT, Cooper CM. Variability in the characterization of total coliforms, fecal coliforms and Escherichia coli in recreational water supplies of north Mississippi, USA. Bull Environ Contam Toxicol 2014; 93:133-137. [PMID: 24952738 DOI: 10.1007/s00128-014-1299-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2013] [Accepted: 05/13/2014] [Indexed: 06/03/2023]
Abstract
The fecal coliform, Escherichia coli, is a historical organism for the detection of fecal pollution in water supplies. The presence of E. coli indicates a potential contamination of the water supply by other more hazardous human pathogens. In order to accurately determine the presence and degree of fecal contamination, it is important that standard methods approved by the US Environmental Protection Agency are designed to determine the presence of E. coli in a water supply, and distinguish E. coli from other coliform bacteria (e.g. Citrobacter, Klebsiella and Enterobacter). These genera of bacteria are present not only in fecal matter, but also in soil and runoff water and are not good indicators of fecal contamination. There is also ambiguity in determining a positive result for fecal coliforms on M-FC filters by a blue colony. When all variations of blue, including light blue or glossy blue, were examined, confirmation methods agreed with the positive M-FC result less often than when colonies that the technician would merely call "blue", with no descriptors, were examined. Approximately 48 % of M-FC positive colonies were found to be E. coli with 4 methylumbelliferyl-β-D-glucuronide (MUG), and only 23 % of samples producing a positive result on M-FC media were found to be E. coli using API-20E test strips and current API-20E profiles. The majority of other M-FC blue colonies were found to be Klebsiella or were unidentifiable with current API-20E profiles. Two positive M-FC colonies were found to be Kluyvera with API-20E, both of which cleaved MUG and produced fluorescence under UV light, a characteristic used to differentiate E. coli from other fecal coliforms.
Collapse
Affiliation(s)
- M Fiello
- University of Southern Mississippi Gulf Coast Research Laboratory, 703 East Beach Drive, Ocean Springs, MS, 39564, USA,
| | | | | | | |
Collapse
|
26
|
Cooper CM, Yan Y, Xu W, Tsuyuki D, Hamedani MK, Davie JR, Leygue E. Abstract P5-11-08: SRA/SRAP contributes to TGF-b1 induced cell motility in cancer cells. Cancer Res 2013. [DOI: 10.1158/0008-5472.sabcs13-p5-11-08] [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] [Indexed: 11/16/2022]
Abstract
Abstract
The steroid receptor RNA activator gene (SRA1) is a particularly intriguing genetic system in that both the corresponding RNA (SRA) and protein (SRAP) have been proven to be functional. Accumulated evidence overall suggests that both molecules act as distinct co-regulators of transcription, housed in ribonucleo-protein complexes able to positively or negatively regulate the activity of multiple transcription factors including -but not limited to- several nuclear receptors, MyoD and DAX-1.
A role for SRA/SRAP deregulation during breast tumorigenesis has been suggested. Indeed, not only do these molecules regulate the activity of both Estrogen Receptors, these major players in breast cancer etiology, but it has also been shown that SRA RNA is more highly expressed in breast tumors than in normal tissue, and that high levels of SRAP correlated to poorer survival in specific subsets of breast cancer patients.
In order to identify the genes and pathways regulated by SRA/SRAP, we performed deep sequencing of transcriptomes from MDA-MB-231 cells depleted of these molecules following RNA interference. The expression of 149 genes was consistently and significantly altered in four independent experiments comparing control RNAi vs SRA RNAi. Interestingly, cluster analysis using Ingenuity software defined a subset of genes (23 out of 149) directly associated with cell movement. Among them figured TGFBR1 (ALK5), a cell surface receptor-kinase mediating TGF-b signalling and a known promoter of cell motility in breast cancer cells.
We have now confirmed by quantitative PCR analysis a 40% decrease, upon SRA/SRAP depletion, of TGFBR1 mRNA expression in MDA-MB-231 cells as well as in other breast (MCF7, T5) and non-breast (Hela) cancer cell lines. Consistent with this decrease a drop to 60% of the basal TGFBR1 protein expression is seen by Western blot when MDA-MB-231 cells are depleted of SRA/SRAP. Western blot analyses also revealed that phosphorylation of several SMAD molecules, downstream effectors of TGFBR1 activation by TGF-β1, is impaired in the absence of SRA/SRAP in both MDA-MB-231 and Hela cells. This suggests that SRA/SRAP could potentially regulate TGF beta induced cell motility.
Using migration cell assays, we have now confirmed that upon TGF-β1 treatment for 6 hours, SRA/SRAP depleted cells had a significant decrease in migration as compared to control cells. Accordingly, live cell migration assays generated by a time-lapse videomicroscopy system, showed an increased track length and speed in both Hela and 231 cells over-expressed SRAP upon 10 h TGF-β1 treatment.
Taken together, these data suggest a cross-talk between SRA/SRAP and TGF-β signalling and induced cell motility.
Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P5-11-08.
Collapse
Affiliation(s)
- CM Cooper
- Manitoba Institute of Cell Biology, Cancercare Manitoba, Winnipeg, MB, Canada; Biochemistry and Medical Genetics University of Manitoba, Winnipeg, MB, Canada; Manitoba Institute of Child Health, Winnipeg, MB, Canada
| | - Y Yan
- Manitoba Institute of Cell Biology, Cancercare Manitoba, Winnipeg, MB, Canada; Biochemistry and Medical Genetics University of Manitoba, Winnipeg, MB, Canada; Manitoba Institute of Child Health, Winnipeg, MB, Canada
| | - W Xu
- Manitoba Institute of Cell Biology, Cancercare Manitoba, Winnipeg, MB, Canada; Biochemistry and Medical Genetics University of Manitoba, Winnipeg, MB, Canada; Manitoba Institute of Child Health, Winnipeg, MB, Canada
| | - D Tsuyuki
- Manitoba Institute of Cell Biology, Cancercare Manitoba, Winnipeg, MB, Canada; Biochemistry and Medical Genetics University of Manitoba, Winnipeg, MB, Canada; Manitoba Institute of Child Health, Winnipeg, MB, Canada
| | - MK Hamedani
- Manitoba Institute of Cell Biology, Cancercare Manitoba, Winnipeg, MB, Canada; Biochemistry and Medical Genetics University of Manitoba, Winnipeg, MB, Canada; Manitoba Institute of Child Health, Winnipeg, MB, Canada
| | - JR Davie
- Manitoba Institute of Cell Biology, Cancercare Manitoba, Winnipeg, MB, Canada; Biochemistry and Medical Genetics University of Manitoba, Winnipeg, MB, Canada; Manitoba Institute of Child Health, Winnipeg, MB, Canada
| | - E Leygue
- Manitoba Institute of Cell Biology, Cancercare Manitoba, Winnipeg, MB, Canada; Biochemistry and Medical Genetics University of Manitoba, Winnipeg, MB, Canada; Manitoba Institute of Child Health, Winnipeg, MB, Canada
| |
Collapse
|
27
|
Khalzov IV, Cooper CM, Forest CB. Fast dynamos in spherical boundary-driven flows. Phys Rev Lett 2013; 111:125001. [PMID: 24093266 DOI: 10.1103/physrevlett.111.125001] [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] [Subscribe] [Scholar Register] [Received: 05/10/2013] [Indexed: 06/02/2023]
Abstract
We numerically demonstrate the feasibility of kinematic fast dynamos for a class of time-periodic axisymmetric flows of conducting fluid confined inside a sphere. The novelty of our work is in considering the realistic flows, which are self-consistently determined from the Navier-Stokes equation with specified boundary driving. Such flows can be achieved in a new plasma experiment, whose spherical boundary is capable of differential driving of plasma flows in the azimuthal direction. We show that magnetic fields are self-excited over a range of flow parameters such as amplitude and frequency of flow oscillations, fluid Reynolds (Re) and magnetic Reynolds (Rm) numbers. In the limit of large Rm, the growth rates of the excited magnetic fields are of the order of the advective time scales and practically independent of Rm, which is an indication of the fast dynamo.
Collapse
Affiliation(s)
- I V Khalzov
- Center for Magnetic Self Organization in Laboratory and Astrophysical Plasmas, University of Wisconsin-Madison, 1150 University Avenue, Madison, Wisconsin 53706, USA
| | | | | |
Collapse
|
28
|
Abstract
Roughly 26-32% of US veterans, who served in the first Gulf War, report suffering from chronic health problems ( Golomb, 2008 , Proceedings of the National Academies of Science, 105, 4295). The present study investigated the memory deficits reported by these ill Gulf War veterans (GWV) using a face-name associative memory paradigm administered during functional magnetic resonance imaging (fMRI). The fMRI data confirmed memory performance on the memory task to be related to the amount of activation in the left hippocampus observed during the study. In addition, ill-GWV demonstrated decreased memory performance relative to unaffected GWV on this memory test, providing evidence of memory deficits using an objective measure of memory.
Collapse
Affiliation(s)
- Timothy N Odegard
- Department of Psychology, University Texas Arlington, Arlington, TX 76019-0528, USA.
| | | | | | | | | | | |
Collapse
|
29
|
Cooper CM, Gekelman W. Termination of a magnetized plasma on a neutral gas: the end of the plasma. Phys Rev Lett 2013; 110:265001. [PMID: 23848883 DOI: 10.1103/physrevlett.110.265001] [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] [Subscribe] [Scholar Register] [Received: 02/01/2013] [Indexed: 06/02/2023]
Abstract
Experiments are performed at the Enormous Toroidal Plasma Device at UCLA to study the neutral boundary layer (NBL) between a magnetized plasma and a neutral gas along the direction of a confining magnetic field. This is the first experiment to measure plasma termination within a neutral gas without the presence of a wall or obstacle. A magnetized, current-free helium plasma created by a lanthanum hexaboride (LaB6) cathode terminates entirely within a neutral helium gas. The plasma is weakly ionized (ne/nn∼1%) and collisional λn≪Lplasma}. The NBL occurs where the plasma pressure equilibrates with the neutral gas pressure, consistent with a pressure balance model. It is characterized by a field-aligned ambipolar electric field, developing self-consistently to maintain a current-free termination of the plasma on the neutral gas. Probes are inserted into the plasma to measure the plasma density, flow, temperature, current, and potential. These measurements confirm the presence of the ambipolar field and the pressure equilibration model of the NBL.
Collapse
Affiliation(s)
- C M Cooper
- University of California, Los Angeles, Los Angeles, California 90024, USA
| | | |
Collapse
|
30
|
Abstract
Age-related declines in associative memory are proposed to result from deficits in older adults' ability to recollect the past. The present experiment investigated the ability of older adults to compensate for deficits in recollecting the past by using plausibility. Participants studied a list of word pairs that shared category or rhyme relations. To measure the processes used during the recognition memory test, participants provided self-reported explanations for their memory judgements. Older adults relied primarily on plausibility, and the younger adults relied on both plausibility and recollection. Older adults experienced both positive and negative consequences as a result of using a knowledge-based strategy to compensate for their decreased ability to recollect the past. Specifically, they were just as capable as younger adults at recognising previously studied items and correctly rejecting distractors that were inconsistent with the rule provided at study. However, they falsely recognised distractors that were consistent with that rule more often than younger adults.
Collapse
Affiliation(s)
- Crystal M Cooper
- Department of Psychology, University of Texas-Arlington, Arlington, TX 76019-0528, USA.
| | | |
Collapse
|
31
|
Cooper CM, Odegard TN. Attention and the acquisition of new knowledge: their effects on older adults' associative memory deficit. Psychol Aging 2011; 26:890-9. [PMID: 21639643 DOI: 10.1037/a0023628] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [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
Older adults experience a selective associative memory deficit by demonstrating intact item memory relative to impaired associative memory when compared with younger adults. Age-related deficits in associative memory have been suggested to arise from declines in attentional resources, and the role of attention during encoding and retrieval in associative memory for words and their spatial locations was investigated in the current experiment. Additionally, the tendency of younger and older adults to use knowledge acquired during encoding to improve their associative memory judgments through a strategic associative memory process was also investigated. Younger and older adults studied a list of words with each word belonging to one of four categories, which followed one of four mathematical probability structures for their presentation. Older adults exhibited intact item memory and impaired associative memory relative to full attention younger adults. In addition, both older and younger adults demonstrated an ability to engage in strategic associative memory, by learning and later using the probability structure introduced at study to guide their associative memory judgments. In contrast, dividing the attention of younger adults during encoding impaired item memory, associative memory and strategic associative memory, whereas dividing attention at retrieval did not result in similar deficits. These data add to a growing body of literature demonstrating older adults to exhibit a selective associative memory deficit that is not simulated by dividing the attention of younger adults at encoding or retrieval. Furthermore, younger and older adults maintain the ability to use new knowledge to guide their associative judgments.
Collapse
Affiliation(s)
- Crystal M Cooper
- Department of Psychology, University of Texas Arlington, TX 76019-0528, USA.
| | | |
Collapse
|
32
|
Abstract
A new 18x18 cm(2) active area lanthanum hexaboride (LaB(6)) plasma source for use in a dc discharge has been developed at UCLA. The cathode consists of four tiled LaB(6) pieces indirectly heated to electron emission (1750 degrees C) by a graphite heater. A molybdenum mesh anode 33 cm in front of the LaB(6) accelerates the electrons, ionizing a fill gas to create a 20x20 cm(2) nearly square plasma. The source is run in pulsed operation with the anode biased up to +400 V dc with respect to the cathode for up to 100 ms at a 1 Hz repetition rate. Both the cathode and anode "float" electrically with respect to the chamber walls. The source is placed in a toroidal chamber 2 m wide and 3 m tall with a major radius of 5 m. Toroidal and vertical magnetic fields confine the current-free plasma which follows the field in a helix. The plasma starts on the bottom of the machine and spirals around it up to four times (120 m) and can be configured to terminate either on the top wall or on the neutral gas itself. The source typically operates with a discharge current up to 250 A in helium making plasmas with T(e)<30 eV, T(i)<16 eV, and n(e)<3x10(13) cm(-3) in a background field of 100 G<B(o)<320 G, giving a magnetized plasma with 0.1<beta<1.
Collapse
Affiliation(s)
- C M Cooper
- University of California, Los Angeles, California 90095, USA
| | | | | | | |
Collapse
|
33
|
Moore MT, Kröger R, Locke MA, Cullum RF, Steinriede RW, Testa S, Lizotte RE, Bryant CT, Cooper CM. Nutrient mitigation capacity in Mississippi Delta, USA drainage ditches. Environ Pollut 2010; 158:175-184. [PMID: 19656598 DOI: 10.1016/j.envpol.2009.07.024] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2009] [Revised: 06/02/2009] [Accepted: 07/17/2009] [Indexed: 05/28/2023]
Abstract
Eutrophication and hypoxia within aquatic systems are a serious international concern. Various management practices have been proposed to help alleviate nutrient loads transported to the Gulf of Mexico and other high-profile aquatic systems. The current study examined the nutrient mitigation capacity of a vegetated (V) and non-vegetated (NV) agricultural drainage ditch of similar size and landform in the Mississippi Delta. While no statistically significant differences in ammonium, nitrate, or dissolved inorganic phosphorus mitigation between the two ditches existed, there were significant differences in total inorganic phosphorus percent load reductions (V: 36% +/- 4; NV: 71% +/- 4). However, both agricultural drainage ditches were able to mitigate nutrients, thus reducing the load reaching downstream aquatic receiving systems. Further studies examining ecosystem dynamics within drainage ditches such as sediment and plant nutrient partitioning, as well as microbial processes involved, are needed to provide a better understanding of natural nutrient variability, seasonality and flux.
Collapse
Affiliation(s)
- M T Moore
- USDA-Agricultural Research Service National Sedimentation Laboratory, Water Quality and Ecology Research Unit, PO Box 1157, Oxford, MS 38655, USA.
| | | | | | | | | | | | | | | | | |
Collapse
|
34
|
|
35
|
Moore MT, Kröger R, Cooper CM, Smith S. Ability of four emergent macrophytes to remediate permethrin in mesocosm experiments. Arch Environ Contam Toxicol 2009; 57:282-288. [PMID: 19458989 DOI: 10.1007/s00244-009-9334-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2009] [Accepted: 04/28/2009] [Indexed: 05/27/2023]
Abstract
Increased focus is being placed on the ability of native vegetation to mitigate potential harmful effects of agricultural runoff, especially pyrethroid insecticides. Replicate 379 L Rubbermaid tubs (1.25 m [l] x 0.6 m [w] x 0.8 m [h]) were planted with individual species of cutgrass (Leersia oryzoides), cattails (Typha latifolia), bur-reed (Sparganium americanum), and powdery alligator-flag (Thalia dealbata), all common wetland macrophytes found in the Mississippi Delta, USA, agricultural region. Permethrin-enriched water (target concentration, 5 microg L(-1)) was pumped in at a 4-h hydraulic retention time at one end of the tub and discharged at the far end. Water samples were collected from discharge at 1-h intervals for 12 h and analyzed for permethrin concentrations. Permethrin removal rates were compared for the four different plant treatments and nonvegetated sediment-water controls. Results indicated that no particular single plant species was more effective at removing permethrin in water relative to unplanted controls. Overall mass reductions (from inflow to outflow) for cis-permethrin ranged from 67% +/- 6% in T. latifolia to 71% +/- 2% in L. oryzoides. The trans-permethrin overall mass reductions ranged from 76% +/- 4% in S. americanum to 82% +/- 2% in the unplanted control. Sediment and plant samples collected at the study conclusion indicated that 77%-95% of measured permethrin mass was associated with sediment for mesocosms planted with L. oryzoides, T. latifolia, and T. dealbata. Conversely, mesocosms planted with S. americanum had 83% of measured mass associated with the plant material. Specific plant-pesticide retention studies can lead to improved planning for best management practices and remediation techniques such as constructed wetlands and vegetated agricultural drainage ditches.
Collapse
Affiliation(s)
- M T Moore
- USDA-ARS National Sedimentation Laboratory, P.O. Box 1157, Oxford, MS 38655, USA.
| | | | | | | |
Collapse
|
36
|
Moore MT, Cooper CM, Smith S, Cullum RF, Knight SS, Locke MA, Bennett ER. Mitigation of two pyrethroid insecticides in a Mississippi Delta constructed wetland. Environ Pollut 2009; 157:250-6. [PMID: 18789833 DOI: 10.1016/j.envpol.2008.07.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2008] [Revised: 07/01/2008] [Accepted: 07/09/2008] [Indexed: 05/06/2023]
Abstract
Constructed wetlands are a suggested best management practice to help mitigate agricultural runoff before entering receiving aquatic ecosystems. A constructed wetland system (180 m x 30 m), comprising a sediment retention basin and two treatment cells, was used to determine the fate and transport of simulated runoff containing the pyrethroid insecticides lambda-cyhalothrin and cyfluthrin, as well as suspended sediment. Wetland water, sediment, and plant samples were collected spatially and temporally over 55 d. Results showed 49 and 76% of the study's measured lambda-cyhalothrin and cyfluthrin masses were associated with vegetation, respectively. Based on conservative effects concentrations for invertebrates and regression analyses of maximum observed wetland aqueous concentrations, a wetland length of 215 m x 30 m width would be required to adequately mitigate 1% pesticide runoff from a 14 ha contributing area. Results of this experiment can be used to model future design specifications for constructed wetland mitigation of pyrethroid insecticides.
Collapse
Affiliation(s)
- M T Moore
- USDA Agricultural Research Service National Sedimentation Laboratory, Water Quality and Ecology Research Unit, PO Box 1157, 598 McElroy Drive, Oxford, MS 38655, USA.
| | | | | | | | | | | | | |
Collapse
|
37
|
Stephens WW, Moore MT, Farris JL, Bouldin JL, Cooper CM. Considerations for assessments of wadable drainage systems in the agriculturally dominated deltas of Arkansas and Mississippi. Arch Environ Contam Toxicol 2008; 55:432-441. [PMID: 18305980 DOI: 10.1007/s00244-008-9136-3] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2007] [Accepted: 01/21/2008] [Indexed: 05/26/2023]
Abstract
The watershed approach, currently used to assess regional streams in the United States, emphasizes least-disturbed reference conditions. Consideration of extensive wadable drainage systems found in Arkansas and Mississippi deltas challenges concepts of disturbance within a landscape of historic agricultural land use. Seventeen wadable drainage ditch sites in Arkansas and Mississippi deltas were characterized using water quality parameters and rapid bioassessment protocols. In all, 19 fish and 105 macroinvertebrate taxa were identified. Macroinvertebrate assemblages were dominated by coleopteran, dipteran, and hemipteran taxa at most drainage sites. Predominance of mobile, early colonists in ditches limits applicability of some metrics for assessment of stream integrity beyond prevalent conditions of ephemeral water quantity and habitat maintenance. This study provides evidence of considerable variability of physical characteristics, water quality, and fish and invertebrate metrics in wadable drainage systems. It indicates a disparity in usefulness of the watershed approach, emphasizing least-disturbed reference conditions, in assessing ecological integrity for a region with ditches as dominant landscape features.
Collapse
Affiliation(s)
- W W Stephens
- ENSR, 4888 Loop Central Drive, Suite 600, Houston, TX 77081-2214, USA
| | | | | | | | | |
Collapse
|
38
|
Moore MT, Denton DL, Cooper CM, Wrysinski J, Miller JL, Reece K, Crane D, Robins P. Mitigation assessment of vegetated drainage ditches for collecting irrigation runoff in California. J Environ Qual 2008; 37:486-493. [PMID: 18268312 DOI: 10.2134/jeq2007.0172] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Widespread contamination of California water bodies by the organophosphate insecticides diazinon and chlorpyrifos is well documented. While their usage has decreased over the last few years, a concomitant increase in pyrethroid usage (e.g., permethrin) (replacement insecticides) has occurred. Vegetated agricultural drainage ditches (VADD) have been proposed as a potential economical and environmentally efficient management practice to mitigate the effects of pesticides in irrigation and storm runoff. Three ditches were constructed in Yolo County, California for a field trial. A U-shaped vegetated ditch, a V-shaped vegetated ditch, and a V-shaped unvegetated ditch were each amended for 8 h with a mixture of diazinon, permethrin, and suspended sediment simulating an irrigation runoff event. Water, sediment, and plant samples were collected spatially and temporally and analyzed for diazinon and permethrin concentrations. Pesticide half-lives were similar between ditches and pesticides, ranging from 2.4 to 6.4 h. Differences in half-distances (distance required to reduce initial pesticide concentration by 50%) among pesticides and ditches were present, indicating importance of vegetation in mitigation. Cis-permethrin half-distances in V ditches ranged from 22 m (V-vegetated) to 50 m (V-unvegetated). Half-distances for trans-permethrin were similar, ranging from 21 m (V-vegetated) to 55 m (V-unvegetated). Diazinon half-distances demonstrated the greatest differences (55 m for V-vegetated and 158 m for V-unvegetated). Such economical and environmentally successful management practices will offer farmers, ranchers, and landowners a viable alternative to more conventional (and sometimes expensive) practices.
Collapse
Affiliation(s)
- M T Moore
- USDA Agricultural Research Service, National Sedimentation Lab, Oxford, MS 38655, USA.
| | | | | | | | | | | | | | | |
Collapse
|
39
|
Kröger R, Holland MM, Moore MT, Cooper CM. Agricultural drainage ditches mitigate phosphorus loads as a function of hydrological variability. J Environ Qual 2008; 37:107-113. [PMID: 18178883 DOI: 10.2134/jeq2006.0505] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Phosphorus (P) loading from nonpoint sources, such as agricultural landscapes, contributes to downstream aquatic ecosystem degradation. Specifically, within the Mississippi watershed, enriched runoff contributions have far-reaching consequences for coastal water eutrophication and Gulf of Mexico hypoxia. Through storm events, the P mitigation capacity of agricultural drainage ditches under no-till cotton was determined for natural and variable rainfall conditions in north Mississippi. Over 2 yr, two experimental ditches were sampled monthly for total inorganic P concentrations in baseflow and on an event-driven basis for stormflows. Phosphorus concentrations, Manning's equations with a range of roughness coefficients for changes in vegetative densities within the ditches, and discharge volumes from Natural Resources Conservation Service dimensionless hydrographs combined to determine ranges in maximum and outflow storm P loads from the farms. Baseflow regressions and percentage reductions with P concentrations illustrated that the ditches alternated between being a sink and source for dissolved inorganic P and particulate P concentrations throughout the year. Storm event loads resulted in 5.5% of the annual applied fertilizer to be transported into the drainage ditches. The ditches annually reduced 43.92 +/- 3.12% of the maximum inorganic effluent P load before receiving waters. Agricultural drainage ditches exhibited a fair potential for P mitigation and thus warrant future work on controlled drainage to improve mitigation capacity.
Collapse
Affiliation(s)
- R Kröger
- University of Mississippi Field Station and Center for Water and Wetland Resources, 15 CR 2078, Abbeville, MS 38601, USA.
| | | | | | | |
Collapse
|
40
|
Kröger R, Holland MM, Moore MT, Cooper CM. Hydrological variability and agricultural drainage ditch inorganic nitrogen reduction capacity. J Environ Qual 2007; 36:1646-1652. [PMID: 17940264 DOI: 10.2134/jeq2006.0506] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
The application of inorganic nitrogen fertilizers on agricultural landscapes has the potential to generate concerns of environmental degradation at fine to coarse scales across the catchment and landscape. Inorganic nitrogen species (NO3*, NO2*, and NH3) are typically associated with subsurface flow processes; however, surface runoff from rainfall events in no-till agriculture with inorganic surface fertilizers might contribute to downstream eutrophication. Inorganic nitrogen reduction capacity of agricultural drainage ditches under no-till cotton was determined under natural, variable rainfall conditions in northern Mississippi. Monthly grab baseflow samples and storm-generated flow samples were variably sampled temporally within two experimental farm ditches over 2 yr. Inorganic nitrogen concentrations, in conjunction with Manning's equation and Natural Resources Conservation Service dimensionless hydrographs, provided individual water volumes per storm event and thus maximum effluent and outflow nitrogen loads. Base and stormflow regression results indicate drainage ditches reducing NO3* and NH3 over the length of the ditch for growing and dormant seasons. Overall, maximum storm loads of dissolved inorganic nitrogen (DIN) from the farm over the 2-yr sampling period accounted for 2.2% of the initial fertilizer application, of which 1.1% left the ditch (0.84 kg ha(-1) yr(-1)) (a 57% ditch reduction of DIN load over 2 yr). Long-term sampling incorporating data on application and loss of fertilizers and farm management will provide critical information for farmers and scientists on the potential of economic gains and downstream ecosystem eutrophication, respectively.
Collapse
Affiliation(s)
- R Kröger
- Dep. of Biology, University of Mississippi, University, MS 38677, USA.
| | | | | | | |
Collapse
|
41
|
|
42
|
Bouldin JL, Farris JL, Moore MT, Smith S, Cooper CM. Assessment of diazinon toxicity in sediment and water of constructed wetlands using deployed Corbicula fluminea and laboratory testing. Arch Environ Contam Toxicol 2007; 53:174-82. [PMID: 17549545 DOI: 10.1007/s00244-006-0180-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2006] [Accepted: 02/11/2007] [Indexed: 05/15/2023]
Abstract
Constructed wetlands for mitigation of nonpoint agricultural runoff have been assessed for their ability to decrease potential toxicity from associated contaminants. After a simulated runoff event, constructed wetlands positioned in series were used to measure the effects of the organophosphate insecticide diazinon. Water, sediment, and plant samples from five sites were analyzed for diazinon concentrations from 0.5 hours to 26 days; peak concentrations were measured in sediment after 0.5 hours (268.7 microg/kg) and in water and plant tissue after 3 hours (121.71 microg/L and 300.7 microg/kg, respectively). Cholinesterase activity and changes in shell growth were measured from Corbicula fluminea deployed at corresponding sites. Water collected after 9 hours from all wetland sites contained diazinon concentrations sufficient to cause toxicity to Ceriodaphnia dubia, but not to Pimephales promelas. C. dubia survival was decreased in water sampled through 7 days from the site nearest runoff introduction, whereas C. fluminea deployed at this same site experienced 100% mortality after 26 days. Clams from lower sites survived wetland conditions, but growth and ChE activity were significantly decreased lower than that of clams from a control site. C. dubia exposed to water from these sites continued to have decreased survival throughout the 26-day sampling. Sediment sampled from 48 hours through 14 days at the lowest wetland site decreased the laboratory survival of Chironomus dilutus, and sediment from upper sites elicited an effect only on day 26. Although wetland concentrations of aqueous diazinon were decreased lower than toxic thresholds after 26 days, decreased ChE activity in deployed clams provided evidence of residual diazinon effects to deployed organisms.
Collapse
Affiliation(s)
- J L Bouldin
- Ecotoxicology Research Facililty, Arkansas State University, PO Box 847, State University, AR, USA.
| | | | | | | | | |
Collapse
|
43
|
Moore MT, Lizotte RE, Knight SS, Smith S, Cooper CM. Assessment of pesticide contamination in three Mississippi Delta oxbow lakes using Hyalella azteca. Chemosphere 2007; 67:2184-91. [PMID: 17258272 DOI: 10.1016/j.chemosphere.2006.12.026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2006] [Revised: 11/27/2006] [Accepted: 12/08/2006] [Indexed: 05/11/2023]
Abstract
Three oxbow lakes in northwestern Mississippi, USA, an area of intensive agriculture, were assessed for biological impairment from historic and current-use pesticide contamination using the amphipod, Hyalella azteca. Surface water and sediment samples from three sites in each lake were collected from Deep Hollow, Beasley, and Thighman Lakes from September 2000 to February 2001. Samples were analyzed for 17 historic and current-use pesticides and selected metabolites. Ten-day H. azteca survival and growth (as length and dry weight) were measured to determine the degree of biological impairment. Maximum number of detectable pesticides in surface water from Deep Hollow, Beasley and Thighman Lakes was 10, 11, and 17, respectively. Maximum number of detectable pesticides in lake sediments was 17, 17, and 15, respectively. Bioassay results indicated no observable survival effects on H. azteca exposed to surface water or sediment from any lake examined and no growth impairment in animals exposed to lake sediments. However, growth was significantly impaired in surface water exposures from Deep Hollow Lake (2 sites) and Beasley Lake (1 site). Statistically significant relationships between growth impairment (length) and cyanazine, methyl parathion, lambda-cyhalothrin, chlorfenapyr, and pp'DDE surface water concentrations in Deep Hollow Lake as well as trifluralin, atrazine, and methyl parathion in Beasley Lake were observed. Although pesticide frequency and concentrations were typically greater in sediment than surface water, bioassay results indicated decreased availability of these pesticides in sediment due to the presence of clay and organic carbon. Growth impairment observed in surface water exposures was likely due to complex interaction of pesticide mixtures that were present.
Collapse
Affiliation(s)
- M T Moore
- USDA-ARS National Sedimentation Laboratory, P.O. Box 1157, Oxford, MS 38655, United States.
| | | | | | | | | |
Collapse
|
44
|
Bouldin JL, Farris JL, Moore MT, Smith S, Cooper CM. Hydroponic uptake of atrazine and lambda-cyhalothrin in Juncus effusus and Ludwigia peploides. Chemosphere 2006; 65:1049-57. [PMID: 16709423 DOI: 10.1016/j.chemosphere.2006.03.031] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2005] [Revised: 03/02/2006] [Accepted: 03/18/2006] [Indexed: 05/09/2023]
Abstract
Phytoremediation encompasses an array of plant-associated processes known to mitigate contaminants from soil, sediment, and water. Modification of pesticides associated with agricultural runoff includes processes directly associated with aquatic macrophytes in addition to changes in soil geochemistry and associated rhizospheric degradation. Remediation attributes of two vegetative species common to agricultural drainages in the Mississippi Delta, USA, were assessed using atrazine and lambda-cyhalothrin. Concentrations used in 8-d hydroponic exposures were calculated using recommended field applications and a 5% runoff model from a 0.65-cm rainfall event on a 2.02-ha field. While greater atrazine uptake was measured in Juncus effusus, greater lambda-cyhalothrin uptake occurred in Ludwigia peploides. Maximum pesticide uptake was reached within 48h for each exposure and subsequent translocation of pesticides to upper plant biomass occurred in macrophytes exposed to atrazine. Sequestration of 98.2% of lambda-cyhalothrin in roots of L. peploides was measured after 8d. Translocation of lambda-cyhalothrin in J. effusus resulted in 25.4% of pesticide uptake partitioned to upper plant biomass. These individual macrophyte remediation studies measured species- and pesticide-specific uptake rates, indicating that seasonality of pesticide applications and macrophyte emergence might interact strongly to enhance mitigation capabilities in edge-of-field conveyance structures.
Collapse
Affiliation(s)
- J L Bouldin
- Arkansas State University, Environmental Sciences Program, Jonesboro, AR 72467, USA.
| | | | | | | | | |
Collapse
|
45
|
Moore MT, Bennett ER, Cooper CM, Smith S, Farris JL, Drouillard KG, Schulz R. Influence of vegetation in mitigation of methyl parathion runoff. Environ Pollut 2006; 142:288-94. [PMID: 16314013 DOI: 10.1016/j.envpol.2005.10.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2005] [Revised: 08/11/2005] [Accepted: 10/03/2005] [Indexed: 05/05/2023]
Abstract
A pesticide runoff event was simulated on two 10 m x 50 m constructed wetlands (one non-vegetated, one vegetated) to evaluate the fate of methyl parathion (MeP) (Penncap-M). Water, sediment, and plant samples were collected at five sites downstream of the inflow for 120 d. Semi-permeable membrane devices (SPMDs) were deployed at each wetland outflow to determine exiting pesticide load. MeP was detected in water at all locations of the non-vegetated wetland (50 m), 30 min post-exposure. MeP was detected 20 m from the vegetated wetland inflow 30 min post-exposure, while after 10d it was detected only at 10 m. MeP was measured only in SPMDs deployed in non-vegetated wetland cells, suggesting detectable levels were not present near the vegetated wetland outflow. Furthermore, mass balance calculations indicated vegetated wetlands were more effective in reducing aqueous loadings of MeP introduced into the wetland systems. This demonstrates the importance of vegetation as sorption sites for pesticides in constructed wetlands.
Collapse
Affiliation(s)
- M T Moore
- USDA Agricultural Research Service National Sedimentation Laboratory, P.O. Box 1157, 598 McElroy Drive, Oxford, MS 38655, USA.
| | | | | | | | | | | | | |
Collapse
|
46
|
Bouldin JL, Farris JL, Moore MT, Smith S, Stephens WW, Cooper CM. Evaluated fate and effects of atrazine and lambda-cyhalothrin in vegetated and unvegetated microcosms. Environ Toxicol 2005; 20:487-98. [PMID: 16161102 DOI: 10.1002/tox.20137] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Contaminants such as nutrients, metals, and pesticides can interact with constructed wetlands and existing drainage ditches used as agricultural best-management practices. Our research has shown that the presence of macrophytes and a hydrologic regime aid in the transfer and transformation of pesticides associated with agricultural runoff. This study consisted of application of both atrazine (triazine herbicide) and lambda-cyhalothrin (pyrethroid insecticide) to vegetated and unvegetated microcosms in order to measure the fate and effects of pesticides applied at suggested field application rates. Exposures focused on monocultures of Ludwigia peploides (water primrose) and Juncus effusus (soft rush). Pesticide sorption was evident through concentrations of atrazine and lambda-cyhalothrin in plant tissue as high as 2461.4 and 86.50 microg/kg, respectively. Toxicity was measured in water from unvegetated microcosms for 28 days and in Chironomus tentans (midge larvae) exposed to sediment collected from 3 h to 56 days in microcosms receiving the pesticide combination. The comparative survival of test organisms in this study suggests that effective mitigation of pesticides from runoff can depend on the macrophyte contact and vegetative attributes associated with ditches.
Collapse
Affiliation(s)
- J L Bouldin
- Arkansas State University, Environmental Sciences Program, Jonesboro, Arkansas, USA.
| | | | | | | | | | | |
Collapse
|
47
|
Bouldin JL, Farris JL, Moore MT, Cooper CM. Vegetative and structural characteristics of agricultural drainages in the Mississippi Delta landscapes. Environ Pollut 2004; 132:403-411. [PMID: 15325456 DOI: 10.1016/j.envpol.2004.05.026] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2004] [Accepted: 05/21/2004] [Indexed: 05/24/2023]
Abstract
Agricultural drainage ditches in the Mississippi Alluvial Delta landscape vary from edge-of-field waterways to sizeable drainages. Ditch attributes vary with size, location and maintenance and may aid in mitigation of contaminants from agricultural fields. The goal of this study was to better understand how vegetative characteristics affect water quality in conveyance structures in the context of ditch class and surrounding land use. Characterization of 36 agricultural ditches included presence of riparian buffer strips, water depth, surrounding land use, vegetative cover, and associated aqueous physicochemical parameters. Vegetation was assessed quantitatively, obtaining stem counts in a sub-sample of ditch sites, using random quadrat method. Physical features varied with ditch size and vegetative diversity was higher in larger structures. Polygonum sp. was the dominant bed vegetation and was ubiquitous among site sizes. Macrophytes varied from aquatic to upland species, and included Leersia sp. and upland grasses (Poaceae family) in all drainage size classes. Percent cover of bed and bank varied from 0 to 100% and 70 to 100%, respectively, and highest nutrient values were measured in sites with no buffer strips. These conveyance structures and surrounding buffer zones are being ranked for their ability to reduce excess nutrients, suspended solids, and pesticides associated with runoff.
Collapse
Affiliation(s)
- J L Bouldin
- Environmental Sciences Program, Arkansas State University, PO Box 847, State University, AR 72467, USA.
| | | | | | | |
Collapse
|
48
|
Milam CD, Bouldin JL, Farris JL, Schulz R, Moore MT, Bennett ER, Cooper CM, Smith S. Evaluating acute toxicity of methyl parathion application in constructed wetland mesocosms. Environ Toxicol 2004; 19:471-479. [PMID: 15352263 DOI: 10.1002/tox.20052] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Wetland ecosystems have reduced ambient levels of various organic and metallic compounds, although their effectiveness on agricultural pesticides is not well documented. Five stations within each of two 10 x 50 m constructed wetlands (two vegetated, two nonvegetated) were selected to measure the fate and effects of methyl parathion (MeP). Following a simulated storm event (0.64 cm of rainfall), aqueous, sediment, and plant samples were collected and analyzed spatially (5, 10, 20, and 40 m from the inlet) and temporally (after 3-10 days) for MeP concentrations and for the impact of those concentrations on the aquatic fauna. Aqueous toxicity to fish decreased spatially and temporally in the vegetated mesocosm. Pimephales promelas survival was significantly reduced, to 68%, at the 10-m station of the nonvegetated wetlands (3 h postapplication), with pesticide concentrations averaging 9.6 microg MeP/L. Ceriodaphnia in both the vegetated and nonvegetated wetlands was sensitive (i.e., a significant acute response to MeP occurred) to pesticide concentrations through 10 days postapplication. Mean MeP concentrations in water ranged from 0.5 to 15.4 microg/L and from 0.1 to 27.0 microg/L in the vegetated and nonvegetated wetlands, respectively. Hyalella azteca aqueous tests resulted in significant mortality in the 5-m vegetated segment 10 days after exposure to MeP (2.2 microg/L). Solid-phase (10-day) sediment toxicity tests showed no significant reduction in Chironomus tentans survival or growth, except for the sediments sampled 3 h postapplication in the nonvegetated wetland (65% survival). Thereafter, midge survival averaged >87% in sediments sampled from both wetlands. These data suggest that wetlands play a significant role in mitigating the effect of MeP exposure in sensitive aquatic biota.
Collapse
Affiliation(s)
- C D Milam
- EA Engineering, Science and Technology, Inc., 15 Loveton Circle, Sparks, Maryland 21152, USA.
| | | | | | | | | | | | | | | |
Collapse
|
49
|
Bouldin JL, Milam CD, Farris JL, Moore MT, Smith S, Cooper CM. Evaluating toxicity of Asana XL (esfenvalerate) amendments in agricultural ditch mesocosms. Chemosphere 2004; 56:677-683. [PMID: 15234164 DOI: 10.1016/j.chemosphere.2004.04.033] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2003] [Revised: 02/18/2004] [Accepted: 04/20/2004] [Indexed: 05/24/2023]
Abstract
Agricultural ditches primarily serve to remove and store excess water associated with irrigation and storm events. The ability of these ecosystems to mitigate potential contaminants is not well understood. Five sites along a 650-m agricultural ditch located in the Mississippi Delta Management Systems Evaluation Area (MDMSEA) were used to measure fate and effects of an esfenvalerate (insecticide) exposure. Following a 0.64-cm simulated storm event, samples were collected from water and sediments and analyzed spatially from five sites and temporally from 0.5 h to 56 d. Results of aqueous toxicity bioassays indicated that lethality progressed downstream throughout all sampling intervals, while sediment toxicity bioassays only elicited biological responses at the point of pesticide application to the ditch (0 m). Significant reductions in survival of Ceriodaphnia dubia and Pimephales promelas in water were measured at the 0-, 20-, and 80-m sites following application. Ten-day solid phase sediment testing of Chironomus tentans indicated persistent toxicity only at the point of application (0 m) and throughout 56 d (mean=14.4% survival). No lethality or significant reduction in midge growth was measured for remaining downstream sites. These measurements were used to evaluate the potential of agricultural ditches to reduce potential deleterious effects of contaminants in agricultural drainage systems that precede receiving streams.
Collapse
Affiliation(s)
- J L Bouldin
- Department of Environmental Sciences, Arkansas State University, P.O. Box 847, State University, AR 72467, USA.
| | | | | | | | | | | |
Collapse
|
50
|
Moore MT, Lizotte RE, Cooper CM, Smith S, Knight SS. Survival and growth of Hyalella azteca exposed to three Mississippi oxbow lake sediments. Bull Environ Contam Toxicol 2004; 72:777-783. [PMID: 15199993 DOI: 10.1007/s00128-004-0312-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Affiliation(s)
- M T Moore
- USDA-ARS National Sedimentation Laboratory, Post Office Box 1157, Oxford, MS 38655, USA
| | | | | | | | | |
Collapse
|