Browsing by Author "Knodt, Annchen R"

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    Emotion Regulation and the Experience of Future Negative Mood: The Importance of Assessing Social Support.
    (Frontiers in Psychology, 2018-01) d'Arbeloff, Tracy C; Freedy, Katherine R; Knodt, Annchen R; Radtke, Spenser R; Brigidi, Bartholomew D; Hariri, Ahmad R
    Emotion regulation refers to the use of various strategies, such as cognitive reappraisal and expressive suppression, to help manage our negative experiences, emotions, and thoughts. Although such emotion regulation often occurs within broader social dynamics and interactions, little is known about how social contexts interact with specific regulation strategies to shape the experience of negative emotions. Using data from 544 young adult university students, we provide initial evidence that habitual use of cognitive reappraisal is associated with lower future experience of depression and anxiety primarily through higher perceived social support (PSS). In contrast, expressive suppression is associated with higher future depression and anxiety primarily through lower PSS. These patterns are consistent with the importance of interpersonal influences on emotion regulation and suggest that assessment of social support can help elucidate the mechanisms of successfully regulating negative mood.
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    Functional connectivity predicts the dispositional use of expressive suppression but not cognitive reappraisal.
    (Brain and behavior, 2020-02) Burr, Daisy A; d'Arbeloff, Tracy; Elliott, Maxwell L; Knodt, Annchen R; Brigidi, Bartholomew D; Hariri, Ahmad R
    INTRODUCTION:Previous research has identified specific brain regions associated with regulating emotion using common strategies such as expressive suppression and cognitive reappraisal. However, most research focuses on a priori regions and directs participants how to regulate, which may not reflect how people naturally regulate outside the laboratory. METHOD:Here, we used a data-driven approach to investigate how individual differences in distributed intrinsic functional brain connectivity predict emotion regulation tendency outside the laboratory. Specifically, we used connectome-based predictive modeling to extract functional connections in the brain significantly related to the dispositional use of suppression and reappraisal. These edges were then used in a predictive model and cross-validated in novel participants to identify a neural signature that reflects individual differences in the tendency to suppress and reappraise emotion. RESULTS:We found a significant neural signature for the dispositional use of suppression, but not reappraisal. Within this whole-brain signature, the intrinsic connectivity of the default mode network was most informative of suppression tendency. In addition, the predictive performance of this model was significant in males, but not females. CONCLUSION:These findings help inform how whole-brain networks of functional connectivity characterize how people tend to regulate emotion outside the laboratory.
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    General functional connectivity: Shared features of resting-state and task fMRI drive reliable and heritable individual differences in functional brain networks.
    (NeuroImage, 2019-04) Elliott, Maxwell L; Knodt, Annchen R; Cooke, Megan; Kim, M Justin; Melzer, Tracy R; Keenan, Ross; Ireland, David; Ramrakha, Sandhya; Poulton, Richie; Caspi, Avshalom; Moffitt, Terrie E; Hariri, Ahmad R
    Intrinsic connectivity, measured using resting-state fMRI, has emerged as a fundamental tool in the study of the human brain. However, due to practical limitations, many studies do not collect enough resting-state data to generate reliable measures of intrinsic connectivity necessary for studying individual differences. Here we present general functional connectivity (GFC) as a method for leveraging shared features across resting-state and task fMRI and demonstrate in the Human Connectome Project and the Dunedin Study that GFC offers better test-retest reliability than intrinsic connectivity estimated from the same amount of resting-state data alone. Furthermore, at equivalent scan lengths, GFC displayed higher estimates of heritability than resting-state functional connectivity. We also found that predictions of cognitive ability from GFC generalized across datasets, performing as well or better than resting-state or task data alone. Collectively, our work suggests that GFC can improve the reliability of intrinsic connectivity estimates in existing datasets and, subsequently, the opportunity to identify meaningful correlates of individual differences in behavior. Given that task and resting-state data are often collected together, many researchers can immediately derive more reliable measures of intrinsic connectivity through the adoption of GFC rather than solely using resting-state data. Moreover, by better capturing heritable variation in intrinsic connectivity, GFC represents a novel endophenotype with broad applications in clinical neuroscience and biomarker discovery.
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    Individual differences in regulatory focus predict neural response to reward.
    (Soc Neurosci, 2016-04-30) Scult, Matthew A; Knodt, Annchen R; Hanson, Jamie L; Ryoo, Minyoung; Adcock, R Alison; Hariri, Ahmad R; Strauman, Timothy J
    Although goal pursuit is related to both functioning of the brain's reward circuits and psychological factors, the literatures surrounding these concepts have often been separate. Here, we use the psychological construct of regulatory focus to investigate individual differences in neural response to reward. Regulatory focus theory proposes two motivational orientations for personal goal pursuit: (1) promotion, associated with sensitivity to potential gain, and (2) prevention, associated with sensitivity to potential loss. The monetary incentive delay task was used to manipulate reward circuit function, along with instructional framing corresponding to promotion and prevention in a within-subject design. We observed that the more promotion oriented an individual was, the lower their ventral striatum response to gain cues. Follow-up analyses revealed that greater promotion orientation was associated with decreased ventral striatum response even to no-value cues, suggesting that promotion orientation may be associated with relatively hypoactive reward system function. The findings are also likely to represent an interaction between the cognitive and motivational characteristics of the promotion system with the task demands. Prevention orientation did not correlate with ventral striatum response to gain cues, supporting the discriminant validity of regulatory focus theory. The results highlight a dynamic association between individual differences in self-regulation and reward system function.
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    Self-rated amygdala activity: an auto-biological index of affective distress.
    (Personality neuroscience, 2019-01) MacDuffie, Katherine E; Knodt, Annchen R; Radtke, Spenser R; Strauman, Timothy J; Hariri, Ahmad R
    Auto-biological beliefs-beliefs about one's own biology-are an understudied component of personal identity. Research participants who are led to believe they are biologically vulnerable to affective disorders report more symptoms and less ability to control their mood; however, little is known about the impact of self-originating beliefs about risk for psychopathology, and whether such beliefs correspond to empirically derived estimates of actual vulnerability. Participants in a neuroimaging study (n = 1256) completed self-report measures of affective symptoms, perceived stress, and neuroticism, and an emotional face processing task in the scanner designed to elicit threat responses from the amygdala. A subsample (n = 63) additionally rated their own perceived neural response to threat (i.e., amygdala activity) compared to peers. Self-ratings of neural threat response were uncorrelated with actual threat-related amygdala activity measured via BOLD fMRI. However, self-ratings predicted subjective distress across a variety of self-report measures. In contrast, in the full sample, threat-related amygdala activity was uncorrelated with self-report measures of affective distress. These findings suggest that beliefs about one's own biological threat response-while unrelated to measured neural activation-may be informative indicators of psychological functioning.
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    The genetic architecture of the human cerebral cortex.
    (Science (New York, N.Y.), 2020-03) Grasby, Katrina L; Jahanshad, Neda; Painter, Jodie N; Colodro-Conde, Lucía; Bralten, Janita; Hibar, Derrek P; Lind, Penelope A; Pizzagalli, Fabrizio; Ching, Christopher RK; McMahon, Mary Agnes B; Shatokhina, Natalia; Zsembik, Leo CP; Thomopoulos, Sophia I; Zhu, Alyssa H; Strike, Lachlan T; Agartz, Ingrid; Alhusaini, Saud; Almeida, Marcio AA; Alnæs, Dag; Amlien, Inge K; Andersson, Micael; Ard, Tyler; Armstrong, Nicola J; Ashley-Koch, Allison; Atkins, Joshua R; Bernard, Manon; Brouwer, Rachel M; Buimer, Elizabeth EL; Bülow, Robin; Bürger, Christian; Cannon, Dara M; Chakravarty, Mallar; Chen, Qiang; Cheung, Joshua W; Couvy-Duchesne, Baptiste; Dale, Anders M; Dalvie, Shareefa; de Araujo, Tânia K; de Zubicaray, Greig I; de Zwarte, Sonja MC; den Braber, Anouk; Doan, Nhat Trung; Dohm, Katharina; Ehrlich, Stefan; Engelbrecht, Hannah-Ruth; Erk, Susanne; Fan, Chun Chieh; Fedko, Iryna O; Foley, Sonya F; Ford, Judith M; Fukunaga, Masaki; Garrett, Melanie E; Ge, Tian; Giddaluru, Sudheer; Goldman, Aaron L; Green, Melissa J; Groenewold, Nynke A; Grotegerd, Dominik; Gurholt, Tiril P; Gutman, Boris A; Hansell, Narelle K; Harris, Mathew A; Harrison, Marc B; Haswell, Courtney C; Hauser, Michael; Herms, Stefan; Heslenfeld, Dirk J; Ho, New Fei; Hoehn, David; Hoffmann, Per; Holleran, Laurena; Hoogman, Martine; Hottenga, Jouke-Jan; Ikeda, Masashi; Janowitz, Deborah; Jansen, Iris E; Jia, Tianye; Jockwitz, Christiane; Kanai, Ryota; Karama, Sherif; Kasperaviciute, Dalia; Kaufmann, Tobias; Kelly, Sinead; Kikuchi, Masataka; Klein, Marieke; Knapp, Michael; Knodt, Annchen R; Krämer, Bernd; Lam, Max; Lancaster, Thomas M; Lee, Phil H; Lett, Tristram A; Lewis, Lindsay B; Lopes-Cendes, Iscia; Luciano, Michelle; Macciardi, Fabio; Marquand, Andre F; Mathias, Samuel R; Melzer, Tracy R; Milaneschi, Yuri; Mirza-Schreiber, Nazanin; Moreira, Jose CV; Mühleisen, Thomas W; Müller-Myhsok, Bertram; Najt, Pablo; Nakahara, Soichiro; Nho, Kwangsik; Olde Loohuis, Loes M; Orfanos, Dimitri Papadopoulos; Pearson, John F; Pitcher, Toni L; Pütz, Benno; Quidé, Yann; Ragothaman, Anjanibhargavi; Rashid, Faisal M; Reay, William R; Redlich, Ronny; Reinbold, Céline S; Repple, Jonathan; Richard, Geneviève; Riedel, Brandalyn C; Risacher, Shannon L; Rocha, Cristiane S; Mota, Nina Roth; Salminen, Lauren; Saremi, Arvin; Saykin, Andrew J; Schlag, Fenja; Schmaal, Lianne; Schofield, Peter R; Secolin, Rodrigo; Shapland, Chin Yang; Shen, Li; Shin, Jean; Shumskaya, Elena; Sønderby, Ida E; Sprooten, Emma; Tansey, Katherine E; Teumer, Alexander; Thalamuthu, Anbupalam; Tordesillas-Gutiérrez, Diana; Turner, Jessica A; Uhlmann, Anne; Vallerga, Costanza Ludovica; van der Meer, Dennis; van Donkelaar, Marjolein MJ; van Eijk, Liza; van Erp, Theo GM; van Haren, Neeltje EM; van Rooij, Daan; van Tol, Marie-José; Veldink, Jan H; Verhoef, Ellen; Walton, Esther; Wang, Mingyuan; Wang, Yunpeng; Wardlaw, Joanna M; Wen, Wei; Westlye, Lars T; Whelan, Christopher D; Witt, Stephanie H; Wittfeld, Katharina; Wolf, Christiane; Wolfers, Thomas; Wu, Jing Qin; Yasuda, Clarissa L; Zaremba, Dario; Zhang, Zuo; Zwiers, Marcel P; Artiges, Eric; Assareh, Amelia A; Ayesa-Arriola, Rosa; Belger, Aysenil; Brandt, Christine L; Brown, Gregory G; Cichon, Sven; Curran, Joanne E; Davies, Gareth E; Degenhardt, Franziska; Dennis, Michelle F; Dietsche, Bruno; Djurovic, Srdjan; Doherty, Colin P; Espiritu, Ryan; Garijo, Daniel; Gil, Yolanda; Gowland, Penny A; Green, Robert C; Häusler, Alexander N; Heindel, Walter; Ho, Beng-Choon; Hoffmann, Wolfgang U; Holsboer, Florian; Homuth, Georg; Hosten, Norbert; Jack, Clifford R; Jang, MiHyun; Jansen, Andreas; Kimbrel, Nathan A; Kolskår, Knut; Koops, Sanne; Krug, Axel; Lim, Kelvin O; Luykx, Jurjen J; Mathalon, Daniel H; Mather, Karen A; Mattay, Venkata S; Matthews, Sarah; Mayoral Van Son, Jaqueline; McEwen, Sarah C; Melle, Ingrid; Morris, Derek W; Mueller, Bryon A; Nauck, Matthias; Nordvik, Jan E; Nöthen, Markus M; O'Leary, Daniel S; Opel, Nils; Martinot, Marie-Laure Paillère; Pike, G Bruce; Preda, Adrian; Quinlan, Erin B; Rasser, Paul E; Ratnakar, Varun; Reppermund, Simone; Steen, Vidar M; Tooney, Paul A; Torres, Fábio R; Veltman, Dick J; Voyvodic, James T; Whelan, Robert; White, Tonya; Yamamori, Hidenaga; Adams, Hieab HH; Bis, Joshua C; Debette, Stephanie; Decarli, Charles; Fornage, Myriam; Gudnason, Vilmundur; Hofer, Edith; Ikram, M Arfan; Launer, Lenore; Longstreth, WT; Lopez, Oscar L; Mazoyer, Bernard; Mosley, Thomas H; Roshchupkin, Gennady V; Satizabal, Claudia L; Schmidt, Reinhold; Seshadri, Sudha; Yang, Qiong; Alzheimer’s Disease Neuroimaging Initiative; CHARGE Consortium; EPIGEN Consortium; IMAGEN Consortium; SYS Consortium; Parkinson’s Progression Markers Initiative; Alvim, Marina KM; Ames, David; Anderson, Tim J; Andreassen, Ole A; Arias-Vasquez, Alejandro; Bastin, Mark E; Baune, Bernhard T; Beckham, Jean C; Blangero, John; Boomsma, Dorret I; Brodaty, Henry; Brunner, Han G; Buckner, Randy L; Buitelaar, Jan K; Bustillo, Juan R; Cahn, Wiepke; Cairns, Murray J; Calhoun, Vince; Carr, Vaughan J; Caseras, Xavier; Caspers, Svenja; Cavalleri, Gianpiero L; Cendes, Fernando; Corvin, Aiden; Crespo-Facorro, Benedicto; Dalrymple-Alford, John C; Dannlowski, Udo; de Geus, Eco JC; Deary, Ian J; Delanty, Norman; Depondt, Chantal; Desrivières, Sylvane; Donohoe, Gary; Espeseth, Thomas; Fernández, Guillén; Fisher, Simon E; Flor, Herta; Forstner, Andreas J; Francks, Clyde; Franke, Barbara; Glahn, David C; Gollub, Randy L; Grabe, Hans J; Gruber, Oliver; Håberg, Asta K; Hariri, Ahmad R; Hartman, Catharina A; Hashimoto, Ryota; Heinz, Andreas; Henskens, Frans A; Hillegers, Manon HJ; Hoekstra, Pieter J; Holmes, Avram J; Hong, L Elliot; Hopkins, William D; Hulshoff Pol, Hilleke E; Jernigan, Terry L; Jönsson, Erik G; Kahn, René S; Kennedy, Martin A; Kircher, Tilo TJ; Kochunov, Peter; Kwok, John BJ; Le Hellard, Stephanie; Loughland, Carmel M; Martin, Nicholas G; Martinot, Jean-Luc; McDonald, Colm; McMahon, Katie L; Meyer-Lindenberg, Andreas; Michie, Patricia T; Morey, Rajendra A; Mowry, Bryan; Nyberg, Lars; Oosterlaan, Jaap; Ophoff, Roel A; Pantelis, Christos; Paus, Tomas; Pausova, Zdenka; Penninx, Brenda WJH; Polderman, Tinca JC; Posthuma, Danielle; Rietschel, Marcella; Roffman, Joshua L; Rowland, Laura M; Sachdev, Perminder S; Sämann, Philipp G; Schall, Ulrich; Schumann, Gunter; Scott, Rodney J; Sim, Kang; Sisodiya, Sanjay M; Smoller, Jordan W; Sommer, Iris E; St Pourcain, Beate; Stein, Dan J; Toga, Arthur W; Trollor, Julian N; Van der Wee, Nic JA; van 't Ent, Dennis; Völzke, Henry; Walter, Henrik; Weber, Bernd; Weinberger, Daniel R; Wright, Margaret J; Zhou, Juan; Stein, Jason L; Thompson, Paul M; Medland, Sarah E; Enhancing NeuroImaging Genetics through Meta-Analysis Consortium (ENIGMA)—Genetics working group
    The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.
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    What Is the Test-Retest Reliability of Common Task-Functional MRI Measures? New Empirical Evidence and a Meta-Analysis.
    (Psychological science, 2020-07) Elliott, Maxwell L; Knodt, Annchen R; Ireland, David; Morris, Meriwether L; Poulton, Richie; Ramrakha, Sandhya; Sison, Maria L; Moffitt, Terrie E; Caspi, Avshalom; Hariri, Ahmad R
    Identifying brain biomarkers of disease risk is a growing priority in neuroscience. The ability to identify meaningful biomarkers is limited by measurement reliability; unreliable measures are unsuitable for predicting clinical outcomes. Measuring brain activity using task functional MRI (fMRI) is a major focus of biomarker development; however, the reliability of task fMRI has not been systematically evaluated. We present converging evidence demonstrating poor reliability of task-fMRI measures. First, a meta-analysis of 90 experiments (N = 1,008) revealed poor overall reliability-mean intraclass correlation coefficient (ICC) = .397. Second, the test-retest reliabilities of activity in a priori regions of interest across 11 common fMRI tasks collected by the Human Connectome Project (N = 45) and the Dunedin Study (N = 20) were poor (ICCs = .067-.485). Collectively, these findings demonstrate that common task-fMRI measures are not currently suitable for brain biomarker discovery or for individual-differences research. We review how this state of affairs came to be and highlight avenues for improving task-fMRI reliability.