2,415 results on '"Frye, Mark A."'
Search Results
2. Focal adhesion is associated with lithium response in bipolar disorder: evidence from a network-based multi-omics analysis
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Niemsiri, Vipavee, Rosenthal, Sara Brin, Nievergelt, Caroline M, Maihofer, Adam X, Marchetto, Maria C, Santos, Renata, Shekhtman, Tatyana, Alliey-Rodriguez, Ney, Anand, Amit, Balaraman, Yokesh, Berrettini, Wade H, Bertram, Holli, Burdick, Katherine E, Calabrese, Joseph R, Calkin, Cynthia V, Conroy, Carla, Coryell, William H, DeModena, Anna, Eyler, Lisa T, Feeder, Scott, Fisher, Carrie, Frazier, Nicole, Frye, Mark A, Gao, Keming, Garnham, Julie, Gershon, Elliot S, Goes, Fernando S, Goto, Toyomi, Harrington, Gloria J, Jakobsen, Petter, Kamali, Masoud, Kelly, Marisa, Leckband, Susan G, Lohoff, Falk W, McCarthy, Michael J, McInnis, Melvin G, Craig, David, Millett, Caitlin E, Mondimore, Francis, Morken, Gunnar, Nurnberger, John I, Donovan, Claire O’, Øedegaard, Ketil J, Ryan, Kelly, Schinagle, Martha, Shilling, Paul D, Slaney, Claire, Stapp, Emma K, Stautland, Andrea, Tarwater, Bruce, Zandi, Peter P, Alda, Martin, Fisch, Kathleen M, Gage, Fred H, and Kelsoe, John R
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Biomedical and Clinical Sciences ,Biological Psychology ,Clinical and Health Psychology ,Clinical Sciences ,Psychology ,Serious Mental Illness ,Genetics ,Mental Health ,Brain Disorders ,Human Genome ,Mental health ,Bipolar Disorder ,Humans ,Lithium ,Gene Regulatory Networks ,Focal Adhesions ,Transcriptome ,Genome-Wide Association Study ,Neurons ,Induced Pluripotent Stem Cells ,Pharmacogenetics ,Antimanic Agents ,Male ,Female ,Lithium Compounds ,Gene Expression Profiling ,Genomics ,Multiomics ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry ,Clinical sciences ,Biological psychology ,Clinical and health psychology - Abstract
Lithium (Li) is one of the most effective drugs for treating bipolar disorder (BD), however, there is presently no way to predict response to guide treatment. The aim of this study is to identify functional genes and pathways that distinguish BD Li responders (LR) from BD Li non-responders (NR). An initial Pharmacogenomics of Bipolar Disorder study (PGBD) GWAS of lithium response did not provide any significant results. As a result, we then employed network-based integrative analysis of transcriptomic and genomic data. In transcriptomic study of iPSC-derived neurons, 41 significantly differentially expressed (DE) genes were identified in LR vs NR regardless of lithium exposure. In the PGBD, post-GWAS gene prioritization using the GWA-boosting (GWAB) approach identified 1119 candidate genes. Following DE-derived network propagation, there was a highly significant overlap of genes between the top 500- and top 2000-proximal gene networks and the GWAB gene list (Phypergeometric = 1.28E-09 and 4.10E-18, respectively). Functional enrichment analyses of the top 500 proximal network genes identified focal adhesion and the extracellular matrix (ECM) as the most significant functions. Our findings suggest that the difference between LR and NR was a much greater effect than that of lithium. The direct impact of dysregulation of focal adhesion on axon guidance and neuronal circuits could underpin mechanisms of response to lithium, as well as underlying BD. It also highlights the power of integrative multi-omics analysis of transcriptomic and genomic profiling to gain molecular insights into lithium response in BD.
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- 2024
3. Association of polygenic score and the involvement of cholinergic and glutamatergic pathways with lithium treatment response in patients with bipolar disorder.
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Amare, Azmeraw, Thalamuthu, Anbupalam, Schubert, Klaus, Fullerton, Janice, Ahmed, Muktar, Hartmann, Simon, Papiol, Sergi, Heilbronner, Urs, Degenhardt, Franziska, Tekola-Ayele, Fasil, Hou, Liping, Hsu, Yi-Hsiang, Shekhtman, Tatyana, Adli, Mazda, Akula, Nirmala, Akiyama, Kazufumi, Ardau, Raffaella, Arias, Bárbara, Aubry, Jean-Michel, Hasler, Roland, Richard-Lepouriel, Hélène, Perroud, Nader, Backlund, Lena, Bhattacharjee, Abesh, Bellivier, Frank, Benabarre, Antonio, Bengesser, Susanne, Biernacka, Joanna, Birner, Armin, Marie-Claire, Cynthia, Cervantes, Pablo, Chen, Hsi-Chung, Chillotti, Caterina, Cichon, Sven, Cruceanu, Cristiana, Czerski, Piotr, Dalkner, Nina, Del Zompo, Maria, DePaulo, J, Étain, Bruno, Jamain, Stephane, Falkai, Peter, Forstner, Andreas, Frisen, Louise, Frye, Mark, Gard, Sébastien, Garnham, Julie, Goes, Fernando, Grigoroiu-Serbanescu, Maria, Fallgatter, Andreas, Stegmaier, Sophia, Ethofer, Thomas, Biere, Silvia, Petrova, Kristiyana, Schuster, Ceylan, Adorjan, Kristina, Budde, Monika, Heilbronner, Maria, Kalman, Janos, Kohshour, Mojtaba, Reich-Erkelenz, Daniela, Schaupp, Sabrina, Schulte, Eva, Senner, Fanny, Vogl, Thomas, Anghelescu, Ion-George, Arolt, Volker, Dannlowski, Udo, Dietrich, Detlef, Figge, Christian, Jäger, Markus, Lang, Fabian, Juckel, Georg, Konrad, Carsten, Reimer, Jens, Schmauß, Max, Schmitt, Andrea, Spitzer, Carsten, von Hagen, Martin, Wiltfang, Jens, Zimmermann, Jörg, Andlauer, Till, Fischer, Andre, Bermpohl, Felix, Ritter, Philipp, Matura, Silke, Gryaznova, Anna, Falkenberg, Irina, Yildiz, Cüneyt, Kircher, Tilo, Schmidt, Julia, Koch, Marius, Gade, Kathrin, Trost, Sarah, Haussleiter, Ida, Lambert, Martin, Rohenkohl, Anja, Kraft, Vivien, Grof, Paul, and Hashimoto, Ryota
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Bipolar Disorder ,Humans ,Female ,Male ,Multifactorial Inheritance ,Adult ,Middle Aged ,Lithium ,Treatment Outcome ,Bayes Theorem ,Genome-Wide Association Study ,Glutamic Acid ,Cohort Studies ,Lithium Compounds ,Acetylcholine ,Polymorphism ,Single Nucleotide ,Antimanic Agents - Abstract
Lithium is regarded as the first-line treatment for bipolar disorder (BD), a severe and disabling mental health disorder that affects about 1% of the population worldwide. Nevertheless, lithium is not consistently effective, with only 30% of patients showing a favorable response to treatment. To provide personalized treatment options for bipolar patients, it is essential to identify prediction biomarkers such as polygenic scores. In this study, we developed a polygenic score for lithium treatment response (Li+PGS) in patients with BD. To gain further insights into lithiums possible molecular mechanism of action, we performed a genome-wide gene-based analysis. Using polygenic score modeling, via methods incorporating Bayesian regression and continuous shrinkage priors, Li+PGS was developed in the International Consortium of Lithium Genetics cohort (ConLi+Gen: N = 2367) and replicated in the combined PsyCourse (N = 89) and BipoLife (N = 102) studies. The associations of Li+PGS and lithium treatment response - defined in a continuous ALDA scale and a categorical outcome (good response vs. poor response) were tested using regression models, each adjusted for the covariates: age, sex, and the first four genetic principal components. Statistical significance was determined at P
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- 2023
4. Exploring the genetics of lithium response in bipolar disorders
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Herrera-Rivero, Marisol, Adli, Mazda, Akiyama, Kazufumi, Akula, Nirmala, Amare, Azmeraw T., Ardau, Raffaella, Arias, Bárbara, Aubry, Jean-Michel, Backlund, Lena, Bellivier, Frank, Benabarre, Antonio, Bengesser, Susanne, Bhattacharjee, Abesh Kumar, Biernacka, Joanna M., Birner, Armin, Cearns, Micah, Cervantes, Pablo, Chen, Hsi-Chung, Chillotti, Caterina, Cichon, Sven, Clark, Scott R., Colom, Francesc, Cruceanu, Cristiana, Czerski, Piotr M., Dalkner, Nina, Degenhardt, Franziska, Del Zompo, Maria, DePaulo, J. Raymond, Etain, Bruno, Falkai, Peter, Ferensztajn-Rochowiak, Ewa, Forstner, Andreas J., Frank, Josef, Frisén, Louise, Frye, Mark A., Fullerton, Janice M., Gallo, Carla, Gard, Sébastien, Garnham, Julie S., Goes, Fernando S., Grigoroiu-Serbanescu, Maria, Grof, Paul, Hashimoto, Ryota, Hasler, Roland, Hauser, Joanna, Heilbronner, Urs, Herms, Stefan, Hoffmann, Per, Hou, Liping, Hsu, Yi-Hsiang, Jamain, Stephane, Jiménez, Esther, Kahn, Jean-Pierre, Kassem, Layla, Kato, Tadafumi, Kelsoe, John, Kittel-Schneider, Sarah, Kuo, Po-Hsiu, Kusumi, Ichiro, König, Barbara, Laje, Gonzalo, Landén, Mikael, Lavebratt, Catharina, Leboyer, Marion, Leckband, Susan G., Maj, Mario, Manchia, Mirko, Marie-Claire, Cynthia, Martinsson, Lina, McCarthy, Michael J., McElroy, Susan L., Millischer, Vincent, Mitjans, Marina, Mondimore, Francis M., Monteleone, Palmiero, Nievergelt, Caroline M., Novák, Tomas, Nöthen, Markus M., O’Donovan, Claire, Ozaki, Norio, Papiol, Sergi, Pfennig, Andrea, Pisanu, Claudia, Potash, James B., Reif, Andreas, Reininghaus, Eva, Richard-Lepouriel, Hélène, Roberts, Gloria, Rouleau, Guy A., Rybakowski, Janusz K., Schalling, Martin, Schofield, Peter R., Schubert, Klaus Oliver, Schulte, Eva C., Schweizer, Barbara W., Severino, Giovanni, Shekhtman, Tatyana, Shilling, Paul D., Shimoda, Katzutaka, Simhandl, Christian, Slaney, Claire M., Squassina, Alessio, Stamm, Thomas, Stopkova, Pavla, Streit, Fabian, Tekola-Ayele, Fasil, Thalamuthu, Anbupalam, Tortorella, Alfonso, Turecki, Gustavo, Veeh, Julia, Vieta, Eduard, Viswanath, Biju, Witt, Stephanie H., Zandi, Peter P., Alda, Martin, Bauer, Michael, McMahon, Francis J., Mitchell, Philip B., Rietschel, Marcella, Schulze, Thomas G., and Baune, Bernhard T.
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- 2024
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5. Lithium response in bipolar disorder is associated with focal adhesion and PI3K-Akt networks: a multi-omics replication study
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Ou, Anna H., Rosenthal, Sara B., Adli, Mazda, Akiyama, Kazufumi, Akula, Nirmala, Alda, Martin, Amare, Azmeraw T., Ardau, Raffaella, Arias, Bárbara, Aubry, Jean-Michel, Backlund, Lena, Bauer, Michael, Baune, Bernhard T., Bellivier, Frank, Benabarre, Antonio, Bengesser, Susanne, Bhattacharjee, Abesh Kumar, Biernacka, Joanna M., Cervantes, Pablo, Chen, Guo-Bo, Chen, Hsi-Chung, Chillotti, Caterina, Cichon, Sven, Clark, Scott R., Colom, Francesc, Cousins, David A., Cruceanu, Cristiana, Czerski, Piotr M., Dantas, Clarissa R., Dayer, Alexandre, Del Zompo, Maria, Degenhardt, Franziska, DePaulo, J. Raymond, Étain, Bruno, Falkai, Peter, Fellendorf, Frederike Tabea, Ferensztajn-Rochowiak, Ewa, Forstner, Andreas J., Frisén, Louise, Frye, Mark A., Fullerton, Janice M., Gard, Sébastien, Garnham, Julie S., Goes, Fernando S., Grigoroiu-Serbanescu, Maria, Grof, Paul, Gruber, Oliver, Hashimoto, Ryota, Hauser, Joanna, Heilbronner, Urs, Herms, Stefan, Hoffmann, Per, Hofmann, Andrea, Hou, Liping, Jamain, Stephane, Jiménez, Esther, Kahn, Jean-Pierre, Kassem, Layla, Kato, Tadafumi, Kittel-Schneider, Sarah, König, Barbara, Kuo, Po-Hsiu, Kusumi, Ichiro, Lackner, Nina, Laje, Gonzalo, Landén, Mikael, Lavebratt, Catharina, Leboyer, Marion, Leckband, Susan G., Jaramillo, Carlos A. López, MacQueen, Glenda, Maj, Mario, Manchia, Mirko, Marie-Claire, Cynthia, Martinsson, Lina, Mattheisen, Manuel, McCarthy, Michael J., McElroy, Susan L., McMahon, Francis J., Mitchell, Philip B., Mitjans, Marina, Mondimore, Francis M., Monteleone, Palmiero, Nievergelt, Caroline M., Nöthen, Markus M., Novák, Tomas, Ösby, Urban, Ozaki, Norio, Papiol, Sergi, Perlis, Roy H., Pisanu, Claudia, Potash, James B., Pfennig, Andrea, Reich-Erkelenz, Daniela, Reif, Andreas, Reininghaus, Eva Z., Rietschel, Marcella, Rouleau, Guy A., Rybakowski, Janusz K., Schalling, Martin, Schofield, Peter R., Schubert, K. Oliver, Schulze, Thomas G., Schweizer, Barbara W., Seemüller, Florian, Severino, Giovanni, Shekhtman, Tatyana, Shilling, Paul D., Shimoda, Kazutaka, Simhandl, Christian, Slaney, Claire M., Squassina, Alessio, Stamm, Thomas, Stopkova, Pavla, Tighe, Sarah K., Tortorella, Alfonso, Turecki, Gustavo, Vieta, Eduard, Volkert, Julia, Witt, Stephanie, Wray, Naomi R., Wright, Adam, Young, L. Trevor, Zandi, Peter P., and Kelsoe, John R.
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- 2024
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6. Pharmacogenomic overlap between antidepressant treatment response in major depression & antidepressant associated treatment emergent mania in bipolar disorder
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Nuñez, Nicolas A., Coombes, Brandon J., Beaupre, Lindsay Melhuish, Ozerdem, Aysegul, Resendez, Manuel Gardea, Romo-Nava, Francisco, Bond, David J., Veldic, Marin, Singh, Balwinder, Moore, Katherine M., Betcher, Hannah K., Kung, Simon, Prieto, Miguel L., Fuentes, Manuel, Ercis, Mete, Miola, Alessandro, Sanchez Ruiz, Jorge A., Jenkins, Gregory, Batzler, Anthony, Leung, Jonathan G., Cuellar-Barboza, Alfredo, Tye, Susannah J., McElroy, Susan L., Biernacka, Joanna M., and Frye, Mark A.
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- 2024
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7. Effect of non-invasive spinal cord stimulation in unmedicated adults with major depressive disorder: a pilot randomized controlled trial and induced current flow pattern
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Romo-Nava, Francisco, Awosika, Oluwole O., Basu, Ishita, Blom, Thomas J., Welge, Jeffrey, Datta, Abhishek, Guillen, Alexander, Guerdjikova, Anna I., Fleck, David E., Georgiev, Georgi, Mori, Nicole, Patino, Luis R., DelBello, Melissa P., McNamara, Robert K., Buijs, Ruud M., Frye, Mark A., and McElroy, Susan L.
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- 2024
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8. Proprioception gates visual object fixation in flying flies.
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Rimniceanu, Martha, Currea, John, and Frye, Mark
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feature detection ,fly vision ,navigation ,optomotor ,Animals ,Cats ,Flight ,Animal ,Drosophila melanogaster ,Fixation ,Ocular ,Behavior ,Animal ,Proprioception - Abstract
Visual object tracking in animals as diverse as felines, frogs, and fish supports behaviors including predation, predator avoidance, and landscape navigation. Decades of experimental results show that a rigidly body-fixed tethered fly in a virtual reality visual flight simulator steers to follow the motion of a vertical bar, thereby fixating it on visual midline. This behavior likely reflects a desire to seek natural features such as plant stalks and has inspired algorithms for visual object tracking predicated on robust responses to bar velocity, particularly near visual midline. Using a modified flight simulator equipped with a magnetic pivot to allow frictionless turns about the yaw axis, we discovered that bar fixation as well as smooth steering responses to bar velocity are attenuated or eliminated in yaw-free conditions. Body-fixed Drosophila melanogaster respond to bar oscillation on a stationary ground with frequency-matched wing kinematics and fixate the bar on midline. Yaw-free flies respond to the same stimulus by ignoring the bar and maintaining their original heading. These differences are driven by proprioceptive signals, rather than visual signals, as artificially clamping a bar in the periphery of a yaw-free fly has no effect. When presented with a bar and ground oscillating at different frequencies, a yaw-free fly follows the frequency of the ground only, whereas a body-fixed fly robustly steers at the frequencies of both the bar and ground. Our findings support a model in which proprioceptive feedback promote active damping of high-gain optomotor responses to object motion.
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- 2023
9. Columnar neurons support saccadic bar tracking in Drosophila
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Frighetto, Giovanni and Frye, Mark A
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Biomedical and Clinical Sciences ,Neurosciences ,Eye Disease and Disorders of Vision ,1.1 Normal biological development and functioning ,Underpinning research ,Animals ,Drosophila ,Saccades ,Drosophila melanogaster ,Motion Perception ,Neurons ,vision ,sensory processing ,neural circuits ,flight behavior ,optomotor ,gaze stabilization ,D ,melanogaster ,D. melanogaster ,neuroscience ,Biochemistry and Cell Biology ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Tracking visual objects while maintaining stable gaze is complicated by the different computational requirements for figure-ground discrimination, and the distinct behaviors that these computations coordinate. Drosophila melanogaster uses smooth optomotor head and body movements to stabilize gaze, and impulsive saccades to pursue elongated vertical bars. Directionally selective motion detectors T4 and T5 cells provide inputs to large-field neurons in the lobula plate, which control optomotor gaze stabilization behavior. Here, we hypothesized that an anatomically parallel pathway represented by T3 cells, which provide inputs to the lobula, drives bar tracking body saccades. We combined physiological and behavioral experiments to show that T3 neurons respond omnidirectionally to the same visual stimuli that elicit bar tracking saccades, silencing T3 reduced the frequency of tracking saccades, and optogenetic manipulation of T3 acted on the saccade rate in a push-pull manner. Manipulating T3 did not affect smooth optomotor responses to large-field motion. Our results show that parallel neural pathways coordinate smooth gaze stabilization and saccadic bar tracking behavior during flight.
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- 2023
10. Predictors of functional impairment in bipolar disorder: Results from 13 cohorts from seven countries by the global bipolar cohort collaborative.
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Burdick, Katherine, Millett, Caitlin, Yocum, Anastasia, Altimus, Cara, Andreassen, Ole, Aubin, Valerie, Belzeaux, Raoul, Berk, Michael, Biernacka, Joanna, Blumberg, Hilary, Cleare, Anthony, Diaz-Byrd, Claudia, Dubertret, Caroline, Etain, Bruno, Lagerberg, Trine, Leboyer, Marion, Martinez-Aran, Anabel, McElroy, Susan, Mitchell, Philip, Olie, Emilie, Olorunfemi, Phebe, Passerieux, Christine, Peters, Amy, Pham, Daniel, Polosan, Mircea, Potter, Julia, Sajatovic, Martha, Samalin, Ludovic, Schwan, Raymund, Shanahan, Megan, Solé, Brisa, Strawbridge, Rebecca, Stuart, Amanda, Torres, Ivan, Ueland, Torrill, Vieta, Eduard, Williams, Lana, Wrobel, Anna, Yatham, Lakshmi, Young, Allan, Nierenberg, Andrew, McInnis, Melvin, Forester, Brent, Fullerton, Janice, Frye, Mark, Gard, Sébastien, Godin, Ophelia, Haffen, Emmanuel, Eyler, Lisa, and Klaus, Federica
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Humans ,Bipolar Disorder ,Prospective Studies ,Longitudinal Studies ,Affect ,Cohort Studies - Abstract
OBJECTIVES: Persistent functional impairment is common in bipolar disorder (BD) and is influenced by a number of demographic, clinical, and cognitive features. The goal of this project was to estimate and compare the influence of key factors on community function in multiple cohorts of well-characterized samples of individuals with BD. METHODS: Thirteen cohorts from 7 countries included n = 5882 individuals with BD across multiple sites. The statistical approach consisted of a systematic uniform application of analyses across sites. Each site performed a logistic regression analysis with empirically derived higher versus lower function as the dependent variable and selected clinical and demographic variables as predictors. RESULTS: We found high rates of functional impairment, ranging from 41 to 75%. Lower community functioning was associated with depressive symptoms in 10 of 12 of the cohorts that included this variable in the analysis. Lower levels of education, a greater number of prior mood episodes, the presence of a comorbid substance use disorder, and a greater total number of psychotropic medications were also associated with low functioning. CONCLUSIONS: The bipolar clinical research community is poised to work together to characterize the multi-dimensional contributors to impairment and address the barriers that impede patients complete recovery. We must also identify the core features which enable many to thrive and live successfully with BD. A large-scale, worldwide, prospective longitudinal study focused squarely on BD and its heterogeneous presentations will serve as a platform for discovery and promote major advances toward optimizing outcomes for every individual with this illness.
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- 2022
11. Pharmacogenomic testing for antidepressant treatment selection: lessons learned and roadmap forward
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Frye, Mark A. and Nemeroff, Charles B.
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- 2024
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12. The clinical characterization of the adult patient with bipolar disorder aimed at personalization of management
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McIntyre, Roger S, Alda, Martin, Baldessarini, Ross J, Bauer, Michael, Berk, Michael, Correll, Christoph U, Fagiolini, Andrea, Fountoulakis, Kostas, Frye, Mark A, Grunze, Heinz, Kessing, Lars V, Miklowitz, David J, Parker, Gordon, Post, Robert M, Swann, Alan C, Suppes, Trisha, Vieta, Eduard, Young, Allan, and Maj, Mario
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Health Services and Systems ,Health Sciences ,Clinical Research ,Serious Mental Illness ,Patient Safety ,Prevention ,Behavioral and Social Science ,Suicide ,Mental Health ,Brain Disorders ,Management of diseases and conditions ,7.3 Management and decision making ,7.1 Individual care needs ,Mental health ,Good Health and Well Being ,Bipolar disorder ,clinical characterization ,phenotyping ,subtypes ,mixed features ,cognition ,rapid cycling ,trauma ,comorbidity ,social determinants ,stigma ,stressors ,resilience ,bipolar I disorder ,bipolar II disorder ,mania ,depression ,personalization ,Clinical Sciences ,Psychiatry ,Clinical sciences ,Health services and systems - Abstract
Bipolar disorder is heterogeneous in phenomenology, illness trajectory, and response to treatment. Despite evidence for the efficacy of multimodal-ity interventions, the majority of persons affected by this disorder do not achieve and sustain full syndromal recovery. It is eagerly anticipated that combining datasets across various information sources (e.g., hierarchical "multi-omic" measures, electronic health records), analyzed using advanced computational methods (e.g., machine learning), will inform future diagnosis and treatment selection. In the interim, identifying clinically meaningful subgroups of persons with the disorder having differential response to specific treatments at point-of-care is an empirical priority. This paper endeavours to synthesize salient domains in the clinical characterization of the adult patient with bipolar disorder, with the overarching aim to improve health outcomes by informing patient management and treatment considerations. Extant data indicate that characterizing select domains in bipolar disorder provides actionable information and guides shared decision making. For example, it is robustly established that the presence of mixed features - especially during depressive episodes - and of physical and psychiatric comorbidities informs illness trajectory, response to treatment, and suicide risk. In addition, early environmental exposures (e.g., sexual and physical abuse, emotional neglect) are highly associated with more complicated illness presentations, inviting the need for developmentally-oriented and integrated treatment approaches. There have been significant advances in validating subtypes of bipolar disorder (e.g., bipolar I vs. II disorder), particularly in regard to pharmacological interventions. As with other severe mental disorders, social functioning, interpersonal/family relationships and internalized stigma are domains highly relevant to relapse risk, health outcomes, and quality of life. The elevated standardized mortality ratio for completed suicide and suicidal behaviour in bipolar disorder invites the need for characterization of this domain in all patients. The framework of this paper is to describe all the above salient domains, providing a synthesis of extant literature and recommendations for decision support tools and clinical metrics that can be implemented at point-of-care.
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- 2022
13. Divergent visual ecology of Drosophila species drives object-tracking strategies matched to landscape sparsity
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Rimniceanu, Martha, Limbania, Daniela, Wasserman, Sara M., and Frye, Mark A.
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- 2024
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14. Delays in bipolar depression treatment in primary care vs. integrated behavioral health and specialty care
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Park, Jin Hong, Breitinger, Scott A., Savitz, Samuel T., Gardea-Resendez, Manuel, Singh, Balwinder, Williams, Mark D., and Frye, Mark A.
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- 2025
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15. Reply to Sun: Dynamic and accessible pharmacogenomic results: a response to pharmacogenomic testing for antidepressant treatment selection
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Frye, Mark A. and Nemeroff, Charles B.
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- 2024
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16. Differential serum levels of CACNA1C, circadian rhythm and stress response molecules in subjects with bipolar disorder: Associations with genetic and clinical factors
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Allen, Obie, IV, Coombes, Brandon J., Pazdernik, Vanessa, Gisabella, Barbara, Hartley, Joshua, Biernacka, Joanna M., Frye, Mark A., Markota, Matej, and Pantazopoulos, Harry
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- 2024
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17. Association between exposure to antidepressants and stimulants and age at onset of mania or psychosis: A retrospective population-based cohort study
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Miola, Alessandro, Ercis, Mete, Pazdernik, Vanessa K., Fuentes Salgado, Manuel, Ortiz-Orendain, Javier, Gardea-Reséndez, Manuel, Gruhlke, Peggy M., Michel, Ian, Bostwick, J. Michael, McKean, Alastair J, Vande Voort, Jennifer L., Ozerdem, Aysegul, and Frye, Mark A.
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- 2024
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18. Using data processing to understand inconsistency in smartphone behavior among patients with serious mental illness: Results of a digital phenotyping biomarker study
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Langholm, Carsten, Breitinger, Scott, Gray, Lucy, Goes, Fernando, Walker, Alex, Xiong, Ashley, Stopel, Cindy, Zandi, Peter P., Frye, Mark A., and Torous, John
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- 2024
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19. Candidate gene polymorphisms and clinical implications of the use of psychostimulants in adults with mood or attentional deficit disorders: A systematic review
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Nuñez, Nicolas A., Jezzini-Martinez, Sofia, Ho, Ada Man-Choi, Gardea-Resendez, Manuel, Prokop, Larry J., Singh, Balwinder, Robledo-Atilano, Paola Margarita, Romo-Nava, Francisco, Veldic, Marin, McElroy, Susan L., Frye, Mark A., and Cuellar-Barboza, Alfredo B
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- 2024
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20. Change in neurocognitive functioning in patients with treatment-resistant depression with serial intravenous ketamine infusions: The Bio-K multicenter trial
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Singh, Balwinder, Parikh, Sagar V., Voort, Jennifer L. Vande, Pazdernik, Vanessa K., Achtyes, Eric D., Goes, Fernando S., Yocum, Anastasia K., Nykamp, Louis, Becerra, Alexis, Smart, LeAnn, Greden, John F., Bobo, William V., Frye, Mark A., Burdick, Katherine E., and Ryan, Kelly A.
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- 2024
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21. Sex differences in effectiveness and adverse effects of mood stabilizers and antipsychotics: A systematic review
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Ercis, Mete, Sanchez-Ruiz, Jorge A., Webb, Lauren M., Solares-Bravo, Melissa, Betcher, Hannah K., Moore, Katherine M., Frye, Mark A., Veldic, Marin, and Ozerdem, Aysegul
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- 2024
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22. Classifying and clustering mood disorder patients using smartphone data from a feasibility study
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Langholm, Carsten, Breitinger, Scott, Gray, Lucy, Goes, Fernando, Walker, Alex, Xiong, Ashley, Stopel, Cindy, Zandi, Peter, Frye, Mark A., and Torous, John
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- 2023
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23. Factors associated with suicide attempts in the antecedent illness trajectory of bipolar disorder and schizophrenia
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Miola, Alessandro, Gardea-Reséndez, Manuel, Ortiz-Orendain, Javier, Nunez, Nicolas A., Ercis, Mete, Coombes, Brandon J., Salgado, Manuel Fuentes, Gruhlke, Peggy M., Michel, Ian, Bostwick, J. Michael, McKean, Alastair J., Ozerdem, Aysegul, and Frye, Mark A.
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- 2023
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24. Exploratory study of ultraviolet B (UVB) radiation and age of onset of bipolar disorder
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Bauer, Michael, Glenn, Tasha, Achtyes, Eric D., Alda, Martin, Agaoglu, Esen, Altınbaş, Kürsat, Andreassen, Ole A., Angelopoulos, Elias, Ardau, Raffaella, Aydin, Memduha, Ayhan, Yavuz, Baethge, Christopher, Bauer, Rita, Baune, Bernhard T., Balaban, Ceylan, Becerra-Palars, Claudia, Behere, Aniruddh P., Behere, Prakash B., Belete, Habte, Belete, Tilahun, Belizario, Gabriel Okawa, Bellivier, Frank, Belmaker, Robert H., Benedetti, Francesco, Berk, Michael, Bersudsky, Yuly, Bicakci, Şule, Birabwa-Oketcho, Harriet, Bjella, Thomas D., Brady, Conan, Cabrera, Jorge, Cappucciati, Marco, Castro, Angela Marianne Paredes, Chen, Wei-Ling, Cheung, Eric Y. W., Chiesa, Silvia, Crowe, Marie, Cuomo, Alessandro, Dallaspezia, Sara, Del Zompo, Maria, Desai, Pratikkumar, Dodd, Seetal, Etain, Bruno, Fagiolini, Andrea, Fellendorf, Frederike T., Ferensztajn-Rochowiak, Ewa, Fiedorowicz, Jess G., Fountoulakis, Kostas N., Frye, Mark A., Geoffroy, Pierre A., Gitlin, Michael J., Gonzalez-Pinto, Ana, Gottlieb, John F., Grof, Paul, Haarman, Bartholomeus C. M., Harima, Hirohiko, Hasse-Sousa, Mathias, Henry, Chantal, Hoffding, Lone, Houenou, Josselin, Imbesi, Massimiliano, Isometsä, Erkki T., Ivkovic, Maja, Janno, Sven, Johnsen, Simon, Kapczinski, Flávio, Karakatsoulis, Gregory N., Kardell, Mathias, Kessing, Lars Vedel, Kim, Seong Jae, König, Barbara, Kot, Timur L., Koval, Michael, Kunz, Mauricio, Lafer, Beny, Landén, Mikael, Larsen, Erik R., Lenger, Melanie, Licht, Rasmus W., Lopez-Jaramillo, Carlos, MacKenzie, Alan, Madsen, Helle Østergaard, Madsen, Simone Alberte Kongstad A., Mahadevan, Jayant, Mahardika, Agustine, Manchia, Mirko, Marsh, Wendy, Martinez-Cengotitabengoa, Monica, Martini, Julia, Martiny, Klaus, Mashima, Yuki, McLoughlin, Declan M., Meesters, Ybe, Melle, Ingrid, Meza-Urzúa, Fátima, Mikolas, Pavol, Mok, Yee Ming, Monteith, Scott, Moorthy, Muthukumaran, Morken, Gunnar, Mosca, Enrica, Mozzhegorov, Anton A., Munoz, Rodrigo, Mythri, Starlin V., Nacef, Fethi, Nadella, Ravi K., Nakanotani, Takako, Nielsen, René Ernst, O’Donovan, Claire, Omrani, Adel, Osher, Yamima, Ouali, Uta, Pantovic-Stefanovic, Maja, Pariwatcharakul, Pornjira, Petite, Joanne, Petzold, Johannes, Pfennig, Andrea, Ruiz, Yolanda Pica, Pinna, Marco, Pompili, Maurizio, Porter, Richard J., Quiroz, Danilo, Rabelo-da-Ponte, Francisco Diego, Ramesar, Raj, Rasgon, Natalie, Ratta-apha, Woraphat, Ratzenhofer, Michaela, Redahan, Maria, Reddy, M. S., Reif, Andreas, Reininghaus, Eva Z., Richards, Jenny Gringer, Ritter, Philipp, Rybakowski, Janusz K., Sathyaputri, Leela, Scippa, Angela M., Simhandl, Christian, Smith, Daniel, Smith, José, Stackhouse, Jr, Paul W., Stein, Dan J., Stilwell, Kellen, Strejilevich, Sergio, Su, Kuan-Pin, Subramaniam, Mythily, Sulaiman, Ahmad Hatim, Suominen, Kirsi, Tanra, Andi J., Tatebayashi, Yoshitaka, Teh, Wen Lin, Tondo, Leonardo, Torrent, Carla, Tuinstra, Daniel, Uchida, Takahito, Vaaler, Arne E., Vieta, Eduard, Viswanath, Biju, Yoldi-Negrete, Maria, Yalcinkaya, Oguz Kaan, Young, Allan H., Zgueb, Yosra, and Whybrow, Peter C.
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- 2023
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25. Treatment-resistant depression patients with baseline suicidal ideation required more treatments to achieve therapeutic response with ketamine/esketamine
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Singh, Balwinder, Vande Voort, Jennifer L., Pazdernik, Vanessa K., Frye, Mark A., and Kung, Simon
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- 2024
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26. Clinical outcomes in the biomarkers of ketamine (Bio-K) study of open-label IV ketamine for refractory depression
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Parikh, Sagar V., Vande Voort, Jennifer L., Yocum, Anastasia K., Achtyes, Eric, Goes, Fernando S., Nykamp, Louis, Singh, Balwinder, Lopez-Vives, Daniela, Sera, Cortney E., Maixner, Daniel, Tarnal, Vijay, Severe, Jennifer, Bartek, Steven, Tye, Susannah J., Rico, Jose, Stoppel, Cynthia J., Becerra, Alexis, Smart, LeAnn, Miller, Christina R., Frye, Mark A., Greden, John F., and Bobo, William V.
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- 2024
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27. Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders.
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Blokland, Gabriëlla AM, Grove, Jakob, Chen, Chia-Yen, Cotsapas, Chris, Tobet, Stuart, Handa, Robert, Schizophrenia Working Group of the Psychiatric Genomics Consortium, St Clair, David, Lencz, Todd, Mowry, Bryan J, Periyasamy, Sathish, Cairns, Murray J, Tooney, Paul A, Wu, Jing Qin, Kelly, Brian, Kirov, George, Sullivan, Patrick F, Corvin, Aiden, Riley, Brien P, Esko, Tõnu, Milani, Lili, Jönsson, Erik G, Palotie, Aarno, Ehrenreich, Hannelore, Begemann, Martin, Steixner-Kumar, Agnes, Sham, Pak C, Iwata, Nakao, Weinberger, Daniel R, Gejman, Pablo V, Sanders, Alan R, Buxbaum, Joseph D, Rujescu, Dan, Giegling, Ina, Konte, Bettina, Hartmann, Annette M, Bramon, Elvira, Murray, Robin M, Pato, Michele T, Lee, Jimmy, Melle, Ingrid, Molden, Espen, Ophoff, Roel A, McQuillin, Andrew, Bass, Nicholas J, Adolfsson, Rolf, Malhotra, Anil K, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Martin, Nicholas G, Fullerton, Janice M, Mitchell, Philip B, Schofield, Peter R, Forstner, Andreas J, Degenhardt, Franziska, Schaupp, Sabrina, Comes, Ashley L, Kogevinas, Manolis, Guzman-Parra, José, Reif, Andreas, Streit, Fabian, Sirignano, Lea, Cichon, Sven, Grigoroiu-Serbanescu, Maria, Hauser, Joanna, Lissowska, Jolanta, Mayoral, Fermin, Müller-Myhsok, Bertram, Świątkowska, Beata, Schulze, Thomas G, Nöthen, Markus M, Rietschel, Marcella, Kelsoe, John, Leboyer, Marion, Jamain, Stéphane, Etain, Bruno, Bellivier, Frank, Vincent, John B, Alda, Martin, O'Donovan, Claire, Cervantes, Pablo, Biernacka, Joanna M, Frye, Mark, McElroy, Susan L, Scott, Laura J, Stahl, Eli A, Landén, Mikael, Hamshere, Marian L, Smeland, Olav B, Djurovic, Srdjan, Vaaler, Arne E, Andreassen, Ole A, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Baune, Bernhard T, Air, Tracy, Preisig, Martin, Uher, Rudolf, Levinson, Douglas F, Weissman, Myrna M, Potash, James B, and Shi, Jianxin
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Schizophrenia Working Group of the Psychiatric Genomics Consortium ,Bipolar Disorder Working Group of the Psychiatric Genomics Consortium ,Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium ,Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium ,iPSYCH ,Endothelial Cells ,Humans ,Genetic Predisposition to Disease ,Receptors ,Vascular Endothelial Growth Factor ,Sulfurtransferases ,Bipolar Disorder ,Depressive Disorder ,Major ,Psychotic Disorders ,Schizophrenia ,Sex Characteristics ,Polymorphism ,Single Nucleotide ,Female ,Male ,Genome-Wide Association Study ,Bipolar disorder ,Genome-wide association study ,Genotype-by-sex interaction ,Major depressive disorder ,Sex differences ,Serious Mental Illness ,Biotechnology ,Mental Health ,Genetics ,Human Genome ,Neurosciences ,Brain Disorders ,2.1 Biological and endogenous factors ,Aetiology ,Mental health ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry - Abstract
BackgroundSex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk.MethodsWe conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH.ResultsAcross disorders, genome-wide significant single nucleotide polymorphism-by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10-8), which interacts with sodium/potassium-transporting ATPase (adenosine triphosphatase) enzymes, implicating neuronal excitability. Three additional loci showed evidence (p < 1 × 10-6) for cross-disorder G×S interaction (rs7302529, p = 1.6 × 10-7; rs73033497, p = 8.8 × 10-7; rs7914279, p = 6.4 × 10-7), implicating various functions. Gene-based analyses identified G×S interaction across disorders (p = 8.97 × 10-7) with transcriptional inhibitor SLTM. Most significant in SCZ was a MOCOS gene locus (rs11665282, p = 1.5 × 10-7), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509, p = 1.1 × 10-7) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05).ConclusionsIn the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels.
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- 2022
28. Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes
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Kshatriya, Bhavani Singh Agnikula, Nunez, Nicolas A, Resendez, Manuel Gardea, Ryu, Euijung, Coombes, Brandon J, Fu, Sunyang, Frye, Mark A, Biernacka, Joanna M, and Wang, Yanshan
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence ,Computer Science - Information Retrieval - Abstract
Major depressive disorder (MDD) is a prevalent psychiatric disorder that is associated with significant healthcare burden worldwide. Phenotyping of MDD can help early diagnosis and consequently may have significant advantages in patient management. In prior research MDD phenotypes have been extracted from structured Electronic Health Records (EHR) or using Electroencephalographic (EEG) data with traditional machine learning models to predict MDD phenotypes. However, MDD phenotypic information is also documented in free-text EHR data, such as clinical notes. While clinical notes may provide more accurate phenotyping information, natural language processing (NLP) algorithms must be developed to abstract such information. Recent advancements in NLP resulted in state-of-the-art neural language models, such as Bidirectional Encoder Representations for Transformers (BERT) model, which is a transformer-based model that can be pre-trained from a corpus of unsupervised text data and then fine-tuned on specific tasks. However, such neural language models have been underutilized in clinical NLP tasks due to the lack of large training datasets. In the literature, researchers have utilized the distant supervision paradigm to train machine learning models on clinical text classification tasks to mitigate the issue of lacking annotated training data. It is still unknown whether the paradigm is effective for neural language models. In this paper, we propose to leverage the neural language models in a distant supervision paradigm to identify MDD phenotypes from clinical notes. The experimental results indicate that our proposed approach is effective in identifying MDD phenotypes and that the Bio- Clinical BERT, a specific BERT model for clinical data, achieved the best performance in comparison with conventional machine learning models.
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- 2021
29. Characterisation of age and polarity at onset in bipolar disorder.
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Kalman, Janos L, Olde Loohuis, Loes M, Vreeker, Annabel, McQuillin, Andrew, Stahl, Eli A, Ruderfer, Douglas, Grigoroiu-Serbanescu, Maria, Panagiotaropoulou, Georgia, Ripke, Stephan, Bigdeli, Tim B, Stein, Frederike, Meller, Tina, Meinert, Susanne, Pelin, Helena, Streit, Fabian, Papiol, Sergi, Adams, Mark J, Adolfsson, Rolf, Adorjan, Kristina, Agartz, Ingrid, Aminoff, Sofie R, Anderson-Schmidt, Heike, Andreassen, Ole A, Ardau, Raffaella, Aubry, Jean-Michel, Balaban, Ceylan, Bass, Nicholas, Baune, Bernhard T, Bellivier, Frank, Benabarre, Antoni, Bengesser, Susanne, Berrettini, Wade H, Boks, Marco P, Bromet, Evelyn J, Brosch, Katharina, Budde, Monika, Byerley, William, Cervantes, Pablo, Chillotti, Catina, Cichon, Sven, Clark, Scott R, Comes, Ashley L, Corvin, Aiden, Coryell, William, Craddock, Nick, Craig, David W, Croarkin, Paul E, Cruceanu, Cristiana, Czerski, Piotr M, Dalkner, Nina, Dannlowski, Udo, Degenhardt, Franziska, Del Zompo, Maria, DePaulo, J Raymond, Djurovic, Srdjan, Edenberg, Howard J, Eissa, Mariam Al, Elvsåshagen, Torbjørn, Etain, Bruno, Fanous, Ayman H, Fellendorf, Frederike, Fiorentino, Alessia, Forstner, Andreas J, Frye, Mark A, Fullerton, Janice M, Gade, Katrin, Garnham, Julie, Gershon, Elliot, Gill, Michael, Goes, Fernando S, Gordon-Smith, Katherine, Grof, Paul, Guzman-Parra, Jose, Hahn, Tim, Hasler, Roland, Heilbronner, Maria, Heilbronner, Urs, Jamain, Stephane, Jimenez, Esther, Jones, Ian, Jones, Lisa, Jonsson, Lina, Kahn, Rene S, Kelsoe, John R, Kennedy, James L, Kircher, Tilo, Kirov, George, Kittel-Schneider, Sarah, Klöhn-Saghatolislam, Farah, Knowles, James A, Kranz, Thorsten M, Lagerberg, Trine Vik, Landen, Mikael, Lawson, William B, Leboyer, Marion, Li, Qingqin S, Maj, Mario, Malaspina, Dolores, Manchia, Mirko, and Mayoral, Fermin
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Psychiatric Genomics Consortium (PGC) Bipolar Disorder Working Group ,International Consortium on Lithium Genetics ,Colombia-US Cross Disorder Collaboration in Psychiatric Genetics ,Humans ,Bipolar Disorder ,Depressive Disorder ,Major ,Age of Onset ,Multifactorial Inheritance ,Genome-Wide Association Study ,Autism Spectrum Disorder ,Bipolar disorder ,GWAS ,age at onset ,polarity at onset ,polygenic score ,Genetics ,Mental Health ,Prevention ,Brain Disorders ,Serious Mental Illness ,2.1 Biological and endogenous factors ,Aetiology ,Mental health ,Good Health and Well Being ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry - Abstract
BackgroundStudying phenotypic and genetic characteristics of age at onset (AAO) and polarity at onset (PAO) in bipolar disorder can provide new insights into disease pathology and facilitate the development of screening tools.AimsTo examine the genetic architecture of AAO and PAO and their association with bipolar disorder disease characteristics.MethodGenome-wide association studies (GWASs) and polygenic score (PGS) analyses of AAO (n = 12 977) and PAO (n = 6773) were conducted in patients with bipolar disorder from 34 cohorts and a replication sample (n = 2237). The association of onset with disease characteristics was investigated in two of these cohorts.ResultsEarlier AAO was associated with a higher probability of psychotic symptoms, suicidality, lower educational attainment, not living together and fewer episodes. Depressive onset correlated with suicidality and manic onset correlated with delusions and manic episodes. Systematic differences in AAO between cohorts and continents of origin were observed. This was also reflected in single-nucleotide variant-based heritability estimates, with higher heritabilities for stricter onset definitions. Increased PGS for autism spectrum disorder (β = -0.34 years, s.e. = 0.08), major depression (β = -0.34 years, s.e. = 0.08), schizophrenia (β = -0.39 years, s.e. = 0.08), and educational attainment (β = -0.31 years, s.e. = 0.08) were associated with an earlier AAO. The AAO GWAS identified one significant locus, but this finding did not replicate. Neither GWAS nor PGS analyses yielded significant associations with PAO.ConclusionsAAO and PAO are associated with indicators of bipolar disorder severity. Individuals with an earlier onset show an increased polygenic liability for a broad spectrum of psychiatric traits. Systematic differences in AAO across cohorts, continents and phenotype definitions introduce significant heterogeneity, affecting analyses.
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- 2021
30. Antidepressants that increase mitochondrial energetics may elevate risk of treatment-emergent mania
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Gardea-Resendez, Manuel, Coombes, Brandon J., Veldic, Marin, Tye, Susannah J., Romo-Nava, Francisco, Ozerdem, Aysegul, Prieto, Miguel L., Cuellar-Barboza, Alfredo, Nunez, Nicolas A., Singh, Balwinder, Pendegraft, Richard S., Miola, Alessandro, McElroy, Susan L., Biernacka, Joanna M., Morava, Eva, Kozicz, Tamas, and Frye, Mark A.
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- 2023
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31. Comparison of Demographic and Clinical Features of Bipolar Disorder in Persons of African and European Ancestry
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Taylor-Desir, Monica J., Balls-Berry, Joyce E., McElroy, Susan L., Bond, David J., Vallender, Eric J., Ladner, Mark, Coombes, Brandon J., Jackson, Linsey, Arceo, Danielle, Caples, Felicia V., Colby, Colin, Patten, Christi A., Biernacka, Joanna M., and Frye, Mark A.
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- 2023
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32. Circadian rhythms in bipolar disorder patient-derived neurons predict lithium response: preliminary studies
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Mishra, Himanshu K, Ying, Noelle M, Luis, Angelica, Wei, Heather, Nguyen, Metta, Nakhla, Timothy, Vandenburgh, Sara, Alda, Martin, Berrettini, Wade H, Brennand, Kristen J, Calabrese, Joseph R, Coryell, William H, Frye, Mark A, Gage, Fred H, Gershon, Elliot S, McInnis, Melvin G, Nievergelt, Caroline M, Nurnberger, John I, Shilling, Paul D, Oedegaard, Ketil J, Zandi, Peter P, Kelsoe, John R, Welsh, David K, and McCarthy, Michael J
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Depression ,Sleep Research ,Bipolar Disorder ,Mental Health ,Serious Mental Illness ,Neurosciences ,Brain Disorders ,Mental health ,Circadian Rhythm ,Humans ,Lithium ,Lithium Compounds ,Neurons ,Pharmacogenomics of Bipolar Disorder Study ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry - Abstract
Bipolar disorder (BD) is a neuropsychiatric illness defined by recurrent episodes of mania/hypomania, depression and circadian rhythm abnormalities. Lithium is an effective drug for BD, but 30-40% of patients fail to respond adequately to treatment. Previous work has demonstrated that lithium affects the expression of "clock genes" and that lithium responders (Li-R) can be distinguished from non-responders (Li-NR) by differences in circadian rhythms. However, circadian rhythms have not been evaluated in BD patient neurons from Li-R and Li-NR. We used induced pluripotent stem cells (iPSCs) to culture neuronal precursor cells (NPC) and glutamatergic neurons from BD patients characterized for lithium responsiveness and matched controls. We identified strong circadian rhythms in Per2-luc expression in NPCs and neurons from controls and Li-R, but NPC rhythms in Li-R had a shorter circadian period. Li-NR rhythms were low amplitude and profoundly weakened. In NPCs and neurons, expression of PER2 was higher in both BD groups compared to controls. In neurons, PER2 protein levels were higher in BD than controls, especially in Li-NR samples. In single cells, NPC and neuron rhythms in both BD groups were desynchronized compared to controls. Lithium lengthened period in Li-R and control neurons but failed to alter rhythms in Li-NR. In contrast, temperature entrainment increased amplitude across all groups, and partly restored rhythms in Li-NR neurons. We conclude that neuronal circadian rhythm abnormalities are present in BD and most pronounced in Li-NR. Rhythm deficits in BD may be partly reversible through stimulation of entrainment pathways.
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- 2021
33. Fly Feature Detectors Show Contrast Invariance, Omni-Directionality, Velocity Constancy, and Octopaminergic Loss of Background Motion Suppression
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Staedele, Carola, Keles, Mehmet, Mongeau, Jean-Michel, and Frye, Mark Arthur
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object vision ,visual processing ,feature detection ,neuromodulation ,lobula columnar neuron - Published
- 2021
34. Double blind randomized controlled trial of deep brain stimulation for obsessive-compulsive disorder: Clinical trial design.
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McLaughlin, Nicole CR, Dougherty, Darin D, Eskandar, Emad, Ward, Herbert, Foote, Kelly D, Malone, Donald A, Machado, Andre, Wong, William, Sedrak, Mark, Goodman, Wayne, Kopell, Brian H, Issa, Fuad, Shields, Donald C, Abulseoud, Osama A, Lee, Kendall, Frye, Mark A, Widge, Alik S, Deckersbach, Thilo, Okun, Michael S, Bowers, Dawn, Bauer, Russell M, Mason, Dana, Kubu, Cynthia S, Bernstein, Ivan, Lapidus, Kyle, Rosenthal, David L, Jenkins, Robert L, Read, Cynthia, Malloy, Paul F, Salloway, Stephen, Strong, David R, Jones, Richard N, Rasmussen, Steven A, and Greenberg, Benjamin D
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Deep brain stimulation ,Neurosurgery ,Obsessive-compulsive disorder ,Psychiatry - Abstract
Obsessive-compulsive disorder (OCD), a leading cause of disability, affects ~1-2% of the population, and can be distressing and disabling. About 1/3 of individuals demonstrate poor responsiveness to conventional treatments. A small proportion of these individuals may be deep brain stimulation (DBS) candidates. Candidacy is assessed through a multidisciplinary process including assessment of illness severity, chronicity, and functional impact. Optimization failure, despite multiple treatments, is critical during screening. Few patients nationwide are eligible for OCD DBS and thus a multi-center approach was necessary to obtain adequate sample size. The study was conducted over a six-year period and was a NIH-funded, eight-center sham-controlled trial of DBS targeting the ventral capsule/ventral striatum (VC/VS) region. There were 269 individuals who initially contacted the sites, in order to achieve 27 participants enrolled. Study enrollment required extensive review for eligibility, which was overseen by an independent advisory board. Disabling OCD had to be persistent for ≥5 years despite exhaustive medication and behavioral treatment. The final cohort was derived from a detailed consent process that included consent monitoring. Mean illness duration was 27.2 years. OCD symptom subtypes and psychiatric comorbidities varied, but all had severe disability with impaired quality of life and functioning. Participants were randomized to receive sham or active DBS for three months. Following this period, all participants received active DBS. Treatment assignment was masked to participants and raters and assessments were blinded. The final sample was consistent in demographic characteristics and clinical features when compared to other contemporary published prospective studies of OCD DBS. We report the clinical trial design, methods, and general demographics of this OCD DBS sample.
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- 2021
35. A genome-wide association study of antidepressant-induced mania
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Zai, Clement C., Squassina, Alessio, Tiwari, Arun K., Pisanu, Claudia, Pinna, Marco, Pinna, Federica, Meloni, Anna, Paribello, Pasquale, Carpiniello, Bernardo, Tondo, Leonardo, Frye, Mark A., Biernacka, Joanna M., Coombes, Brandon J., Kennedy, James L., and Manchia, Mirko
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- 2023
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36. Antecedents to first episode psychosis and mania: Comparing the initial prodromes of schizophrenia and bipolar disorder in a retrospective population cohort
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Ortiz-Orendain, Javier, Gardea-Resendez, Manuel, Castiello-de Obeso, Santiago, Golebiowski, Raphael, Coombes, Brandon, Gruhlke, Peggy M., Michel, Ian, Bostwick, J. Michael, Morgan, Robert J., Ozerdem, Aysegul, Frye, Mark A., and McKean, Alastair J.
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- 2023
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37. Alterations in acylcarnitines, amines, and lipids inform about the mechanism of action of citalopram/escitalopram in major depression
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MahmoudianDehkordi, Siamak, Ahmed, Ahmed T, Bhattacharyya, Sudeepa, Han, Xianlin, Baillie, Rebecca A, Arnold, Matthias, Skime, Michelle K, John-Williams, Lisa St, Moseley, M Arthur, Thompson, J Will, Louie, Gregory, Riva-Posse, Patricio, Craighead, W Edward, McDonald, William, Krishnan, Ranga, Rush, A John, Frye, Mark A, Dunlop, Boadie W, Weinshilboum, Richard M, and Kaddurah-Daouk, Rima
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Depression ,Brain Disorders ,Mental Health ,6.1 Pharmaceuticals ,Evaluation of treatments and therapeutic interventions ,Mental health ,Amines ,Antidepressive Agents ,Carnitine ,Citalopram ,Depressive Disorder ,Major ,Humans ,Lipids ,Selective Serotonin Reuptake Inhibitors ,Mood Disorders Precision Medicine Consortium ,Clinical Sciences ,Public Health and Health Services ,Psychology - Abstract
Selective serotonin reuptake inhibitors (SSRIs) are the first-line treatment for major depressive disorder (MDD), yet their mechanisms of action are not fully understood and their therapeutic benefit varies among individuals. We used a targeted metabolomics approach utilizing a panel of 180 metabolites to gain insights into mechanisms of action and response to citalopram/escitalopram. Plasma samples from 136 participants with MDD enrolled into the Mayo Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomic Study (PGRN-AMPS) were profiled at baseline and after 8 weeks of treatment. After treatment, we saw increased levels of short-chain acylcarnitines and decreased levels of medium-chain and long-chain acylcarnitines, suggesting an SSRI effect on β-oxidation and mitochondrial function. Amines-including arginine, proline, and methionine sulfoxide-were upregulated while serotonin and sarcosine were downregulated, suggesting an SSRI effect on urea cycle, one-carbon metabolism, and serotonin uptake. Eighteen lipids within the phosphatidylcholine (PC aa and ae) classes were upregulated. Changes in several lipid and amine levels correlated with changes in 17-item Hamilton Rating Scale for Depression scores (HRSD17). Differences in metabolic profiles at baseline and post-treatment were noted between participants who remitted (HRSD17 ≤ 7) and those who gained no meaningful benefits (
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- 2021
38. Odour boosts visual object approach in flies
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Cheng, Karen Y and Frye, Mark A
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Zoology ,Biological Sciences ,Eye Disease and Disorders of Vision ,Animals ,Drosophila melanogaster ,Flight ,Animal ,Odorants ,Visual Perception ,feature detection ,olfaction ,multisensory ,insect flight ,Drosophila ,Evolutionary Biology ,Biological sciences - Abstract
Multisensory integration is synergistic-input from one sensory modality might modulate the behavioural response to another. Work in flies has shown that a small visual object presented in the periphery elicits innate aversive steering responses in flight, likely representing an approaching threat. Object aversion is switched to approach when paired with a plume of food odour. The 'open-loop' design of prior work facilitated the observation of changing valence. How does odour influence visual object responses when an animal has naturally active control over its visual experience? In this study, we use closed-loop feedback conditions, in which a fly's steering effort is coupled to the angular velocity of the visual stimulus, to confirm that flies steer toward or 'fixate' a long vertical stripe on the visual midline. They tend either to steer away from or 'antifixate' a small object or to disengage active visual control, which manifests as uncontrolled object 'spinning' within this experimental paradigm. Adding a plume of apple cider vinegar decreases the probability of both antifixation and spinning, while increasing the probability of frontal fixation for objects of any size, including a normally typically aversive small object.
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- 2021
39. Contributions of circadian clock genes to cell survival in fibroblast models of lithium-responsive bipolar disorder
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Mishra, Himanshu K., Wei, Heather, Rohr, Kayla E., Ko, Insu, Nievergelt, Caroline M., Maihofer, Adam X., Shilling, Paul D., Alda, Martin, Berrettini, Wade H., Brennand, Kristen J., Calabrese, Joseph R., Coryell, William H., Frye, Mark, Gage, Fred, Gershon, Elliot, McInnis, Melvin G., Nurnberger, John, Oedegaard, Ketil J., Zandi, Peter P., Kelsoe, John R., and McCarthy, Michael J.
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- 2023
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40. Insulin resistance in bipolar disorder: A systematic review of illness course and clinical correlates
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Miola, Alessandro, Alvarez-Villalobos, Neri A., Ruiz-Hernandez, Fernando Gerardo, De Filippis, Eleanna, Veldic, Marin, Prieto, Miguel L., Singh, Balwinder, Sanchez Ruiz, Jorge A., Nunez, Nicolas A., Resendez, Manuel Gardea, Romo-Nava, Francisco, McElroy, Susan L., Ozerdem, Aysegul, Biernacka, Joanna M., Frye, Mark A., and Cuellar-Barboza, Alfredo B.
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- 2023
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41. Prevalence and outcomes of rapid cycling bipolar disorder: Mixed method systematic meta-review
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Miola, Alessandro, Fountoulakis, Konstantinos N., Baldessarini, Ross J., Veldic, Marin, Solmi, Marco, Rasgon, Natalie, Ozerdem, Aysegul, Perugi, Giulio, Frye, Mark A., and Preti, Antonio
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- 2023
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42. Clinical characterization of patients with bipolar disorder and a history of asthma: An exploratory study
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Romo-Nava, Francisco, Blom, Thomas, Cuellar-Barboza, Alfredo B., Barrera, Francisco J., Miola, Alessandro, Mori, Nicole N., Prieto, Miguel L., Veldic, Marin, Singh, Balwinder, Gardea-Resendez, Manuel, Nunez, Nicolas A., Ozerdem, Aysegul, Biernacka, Joanna M., Frye, Mark A., and McElroy, Susan L.
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- 2023
- Full Text
- View/download PDF
43. A visual pathway for skylight polarization processing in Drosophila
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Hardcastle, Ben J, Omoto, Jaison J, Kandimalla, Pratyush, Nguyen, Bao-Chau M, Keleş, Mehmet F, Boyd, Natalie K, Hartenstein, Volker, and Frye, Mark A
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Biological Sciences ,Biomedical and Clinical Sciences ,Neurosciences ,Genetics ,Eye Disease and Disorders of Vision ,Underpinning research ,1.1 Normal biological development and functioning ,Neurological ,Animals ,Brain ,Drosophila melanogaster ,Female ,Neurons ,Optic Lobe ,Nonmammalian ,Orientation ,Spatial ,Ultraviolet Rays ,Visual Pathways ,D. melanogaster ,central complex ,circuits ,navigation ,neuroscience ,polarized light ,two-photon calcium imaging ,vision ,Biochemistry and Cell Biology ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Many insects use patterns of polarized light in the sky to orient and navigate. Here, we functionally characterize neural circuitry in the fruit fly, Drosophila melanogaster, that conveys polarized light signals from the eye to the central complex, a brain region essential for the fly's sense of direction. Neurons tuned to the angle of polarization of ultraviolet light are found throughout the anterior visual pathway, connecting the optic lobes with the central complex via the anterior optic tubercle and bulb, in a homologous organization to the 'sky compass' pathways described in other insects. We detail how a consistent, map-like organization of neural tunings in the peripheral visual system is transformed into a reduced representation suited to flexible processing in the central brain. This study identifies computational motifs of the transformation, enabling mechanistic comparisons of multisensory integration and central processing for navigation in the brains of insects.
- Published
- 2021
44. Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients
- Author
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Schubert, Klaus Oliver, Thalamuthu, Anbupalam, Amare, Azmeraw T, Frank, Joseph, Streit, Fabian, Adl, Mazda, Akula, Nirmala, Akiyama, Kazufumi, Ardau, Raffaella, Arias, Bárbara, Aubry, Jean-Michel, Backlund, Lena, Bhattacharjee, Abesh Kumar, Bellivier, Frank, Benabarre, Antonio, Bengesser, Susanne, Biernacka, Joanna M, Birner, Armin, Marie-Claire, Cynthia, Cearns, Micah, Cervantes, Pablo, Chen, Hsi-Chung, Chillotti, Caterina, Cichon, Sven, Clark, Scott R, Cruceanu, Cristiana, Czerski, Piotr M, Dalkner, Nina, Dayer, Alexandre, Degenhardt, Franziska, Del Zompo, Maria, DePaulo, J Raymond, Étain, Bruno, Falkai, Peter, Forstner, Andreas J, Frisen, Louise, Frye, Mark A, Fullerton, Janice M, Gard, Sébastien, Garnham, Julie S, Goes, Fernando S, Grigoroiu-Serbanescu, Maria, Grof, Paul, Hashimoto, Ryota, Hauser, Joanna, Heilbronner, Urs, Herms, Stefan, Hoffmann, Per, Hou, Liping, Hsu, Yi-Hsiang, Jamain, Stephane, Jiménez, Esther, Kahn, Jean-Pierre, Kassem, Layla, Kuo, Po-Hsiu, Kato, Tadafumi, Kelsoe, John, Kittel-Schneider, Sarah, Ferensztajn-Rochowiak, Ewa, König, Barbara, Kusumi, Ichiro, Laje, Gonzalo, Landén, Mikael, Lavebratt, Catharina, Leboyer, Marion, Leckband, Susan G, Maj, Mario, Manchia, Mirko, Martinsson, Lina, McCarthy, Michael J, McElroy, Susan, Colom, Francesc, Mitjans, Marina, Mondimore, Francis M, Monteleone, Palmiero, Nievergelt, Caroline M, Nöthen, Markus M, Novák, Tomas, O’Donovan, Claire, Ozaki, Norio, Ösby, Urban, Papiol, Sergi, Pfennig, Andrea, Pisanu, Claudia, Potash, James B, Reif, Andreas, Reininghaus, Eva, Rouleau, Guy A, Rybakowski, Janusz K, Schalling, Martin, Schofield, Peter R, Schweizer, Barbara W, Severino, Giovanni, Shekhtman, Tatyana, Shilling, Paul D, Shimoda, Katzutaka, Simhandl, Christian, Slaney, Claire M, Squassina, Alessio, and Stamm, Thomas
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Biological Psychology ,Pharmacology and Pharmaceutical Sciences ,Biomedical and Clinical Sciences ,Psychology ,Serious Mental Illness ,Mental Health ,Brain Disorders ,Schizophrenia ,Bipolar Disorder ,Aetiology ,2.1 Biological and endogenous factors ,Mental health ,Good Health and Well Being ,Depression ,Depressive Disorder ,Major ,Genetic Predisposition to Disease ,Humans ,Lithium ,Multifactorial Inheritance ,Risk Factors ,Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium ,Clinical Sciences ,Public Health and Health Services ,Clinical sciences ,Neurosciences ,Biological psychology - Abstract
Lithium is the gold standard therapy for Bipolar Disorder (BD) but its effectiveness differs widely between individuals. The molecular mechanisms underlying treatment response heterogeneity are not well understood, and personalized treatment in BD remains elusive. Genetic analyses of the lithium treatment response phenotype may generate novel molecular insights into lithium's therapeutic mechanisms and lead to testable hypotheses to improve BD management and outcomes. We used fixed effect meta-analysis techniques to develop meta-analytic polygenic risk scores (MET-PRS) from combinations of highly correlated psychiatric traits, namely schizophrenia (SCZ), major depression (MD) and bipolar disorder (BD). We compared the effects of cross-disorder MET-PRS and single genetic trait PRS on lithium response. For the PRS analyses, we included clinical data on lithium treatment response and genetic information for n = 2283 BD cases from the International Consortium on Lithium Genetics (ConLi+Gen; www.ConLiGen.org ). Higher SCZ and MD PRSs were associated with poorer lithium treatment response whereas BD-PRS had no association with treatment outcome. The combined MET2-PRS comprising of SCZ and MD variants (MET2-PRS) and a model using SCZ and MD-PRS sequentially improved response prediction, compared to single-disorder PRS or to a combined score using all three traits (MET3-PRS). Patients in the highest decile for MET2-PRS loading had 2.5 times higher odds of being classified as poor responders than patients with the lowest decile MET2-PRS scores. An exploratory functional pathway analysis of top MET2-PRS variants was conducted. Findings may inform the development of future testing strategies for personalized lithium prescribing in BD.
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- 2021
45. The Association Between Thyroid Stimulating Hormone and Depression: A Historical Cohort Study
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Kumar, Rakesh, LeMahieu, Allison M., Stan, Marius N., Seshadri, Ashok, Ozerdem, Aysegul, Pazdernik, Vanessa K., Haynes, Tara L., Daugherty, David H., III, Sundaresh, Vishnu, Veldic, Marin, Croarkin, Paul E., Frye, Mark A., and Singh, Balwinder
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- 2023
- Full Text
- View/download PDF
46. Pharmacotherapy exposure as a marker of disease complexity in bipolar disorder: Associations with clinical & genetic risk factors
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Sanchez Ruiz, Jorge A., Coombes, Brandon J., Pendegraft, Richard S., Ozerdem, Aysegul, McElroy, Susan L., Cuellar-Barboza, Alfredo B., Prieto, Miguel L., Frye, Mark A., Winham, Stacey J., and Biernacka, Joanna M.
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- 2023
- Full Text
- View/download PDF
47. The association between lithium use and neurocognitive performance in patients with bipolar disorder
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Burdick, Katherine E, Millett, Caitlin E, Russo, Manuela, Alda, Martin, Alliey-Rodriguez, Ney, Anand, Amit, Balaraman, Yokesh, Berrettini, Wade, Bertram, Holli, Calabrese, Joseph R, Calkin, Cynthia, Conroy, Carla, Coryell, William, DeModena, Anna, Feeder, Scott, Fisher, Carrie, Frazier, Nicole, Frye, Mark, Gao, Keming, Garnham, Julie, Gershon, Elliot S, Glazer, Kara, Goes, Fernando S, Goto, Toyomi, Harrington, Gloria J, Jakobsen, Petter, Kamali, Masoud, Kelly, Marisa, Leckband, Susan, Løberg, Else Marie, Lohoff, Falk W, Maihofer, Adam X, McCarthy, Michael J, McInnis, Melvin, Morken, Gunnar, Nievergelt, Caroline M, Nurnberger, John, Oedegaard, Ketil J, Ortiz, Abigail, Ritchey, Megan, Ryan, Kelly, Schinagle, Martha, Schwebel, Candice, Shaw, Martha, Shilling, Paul, Slaney, Claire, Stapp, Emma, Tarwater, Bruce, Zandi, Peter, and Kelsoe, John R
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Biological Psychology ,Biomedical and Clinical Sciences ,Psychology ,Mental Health ,Serious Mental Illness ,Brain Disorders ,Behavioral and Social Science ,Clinical Research ,Bipolar Disorder ,Clinical Trials and Supportive Activities ,Mental health ,Cognition ,Cross-Sectional Studies ,Humans ,Lithium ,Neuropsychological Tests ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry ,Neurosciences ,Biological psychology - Abstract
Lithium remains the gold standard for the treatment of bipolar disorder (BD); however, its use has declined over the years mainly due to the side effects and the subjective experience of cognitive numbness reported by patients. In the present study, we aim to methodically test the effects of lithium on neurocognitive functioning in the largest single cohort (n = 262) of BD patients reported to date by harnessing the power of a multi-site, ongoing clinical trial of lithium monotherapy. At the cross-sectional level, multivariate analysis of covariance (MANCOVA) was conducted to examine potential group differences across neurocognitive tests [California Verbal Learning Test (CVLT trials 1-5,CVLT delayed recall), Wechsler Digit Symbol, Trail-making Test parts A and B (TMT-A; TMT-B), and a global cognition index]. At the longitudinal level, on a subset of patients (n = 88) who achieved mood stabilization with lithium monotherapy, we explored the effect of lithium treatment across time on neurocognitive functioning. There were no differences at baseline between BD patients that were taking lithium compared with those that were not. At follow-up a significant neurocognitive improvement in the global cognitive index score [F = 31.69; p
- Published
- 2020
48. Non-canonical Receptive Field Properties and Neuromodulation of Feature-Detecting Neurons in Flies
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Städele, Carola, Keleş, Mehmet F, Mongeau, Jean-Michel, and Frye, Mark A
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Biological Sciences ,Biomedical and Clinical Sciences ,Neurosciences ,Eye Disease and Disorders of Vision ,1.1 Normal biological development and functioning ,Underpinning research ,Animals ,Drosophila melanogaster ,Female ,Motion Perception ,Neurons ,Photic Stimulation ,Visual Pathways ,lobula columnar neurons ,motion vision ,object vision ,octopamine ,visual processing ,visual projection neurons ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Developmental Biology ,Biological sciences ,Biomedical and clinical sciences ,Psychology - Abstract
Several fundamental aspects of motion vision circuitry are prevalent across flies and mice. Both taxa segregate ON and OFF signals. For any given spatial pattern, motion detectors in both taxa are tuned to speed, selective for one of four cardinal directions, and modulated by catecholamine neurotransmitters. These similarities represent conserved, canonical properties of the functional circuits and computational algorithms for motion vision. Less is known about feature detectors, including how receptive field properties differ from the motion pathway or whether they are under neuromodulatory control to impart functional plasticity for the detection of salient objects from a moving background. Here, we investigated 19 types of putative feature selective lobula columnar (LC) neurons in the optic lobe of the fruit fly Drosophila melanogaster to characterize divergent properties of feature selection. We identified LC12 and LC15 as feature detectors. LC15 encodes moving bars, whereas LC12 is selective for the motion of discrete objects, mostly independent of size. Neither is selective for contrast polarity, speed, or direction, highlighting key differences in the underlying algorithms for feature detection and motion vision. We show that the onset of background motion suppresses object responses by LC12 and LC15. Surprisingly, the application of octopamine, which is released during flight, reverses the suppressive influence of background motion, rendering both LCs able to track moving objects superimposed against background motion. Our results provide a comparative framework for the function and modulation of feature detectors and new insights into the underlying neuronal mechanisms involved in visual feature detection.
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- 2020
49. Fly eyes are not still: a motion illusion in Drosophila flight supports parallel visual processing.
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Salem, Wael, Cellini, Benjamin, Frye, Mark A, and Mongeau, Jean-Michel
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Control ,Feedback ,Motion vision ,Saccade ,Stability ,Physiology ,Biological Sciences ,Medical and Health Sciences - Abstract
Most animals shift gaze by a 'fixate and saccade' strategy, where the fixation phase stabilizes background motion. A logical prerequisite for robust detection and tracking of moving foreground objects, therefore, is to suppress the perception of background motion. In a virtual reality magnetic tether system enabling free yaw movement, Drosophila implemented a fixate and saccade strategy in the presence of a static panorama. When the spatial wavelength of a vertical grating was below the Nyquist wavelength of the compound eyes, flies drifted continuously and gaze could not be maintained at a single location. Because the drift occurs from a motionless stimulus - thus any perceived motion stimuli are generated by the fly itself - it is illusory, driven by perceptual aliasing. Notably, the drift speed was significantly faster than under a uniform panorama, suggesting perceptual enhancement as a result of aliasing. Under the same visual conditions in a rigid-tether paradigm, wing steering responses to the unresolvable static panorama were not distinguishable from those to a resolvable static pattern, suggesting visual aliasing is induced by ego motion. We hypothesized that obstructing the control of gaze fixation also disrupts detection and tracking of objects. Using the illusory motion stimulus, we show that magnetically tethered Drosophila track objects robustly in flight even when gaze is not fixated as flies continuously drift. Taken together, our study provides further support for parallel visual motion processing and reveals the critical influence of body motion on visuomotor processing. Motion illusions can reveal important shared principles of information processing across taxa.
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- 2020
50. Inhibitory Interactions and Columnar Inputs to an Object Motion Detector in Drosophila
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Keleş, Mehmet F, Hardcastle, Ben J, Städele, Carola, Xiao, Qi, and Frye, Mark A
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Biological Sciences ,Eye Disease and Disorders of Vision ,Neurosciences ,1.1 Normal biological development and functioning ,Underpinning research ,Animals ,Drosophila ,Drosophila melanogaster ,Motion Perception ,feature detection ,motion vision ,vision ,visual circuits ,Biochemistry and Cell Biology ,Medical Physiology ,Biological sciences - Abstract
The direction-selective T4/T5 cells innervate optic-flow processing projection neurons in the lobula plate of the fly that mediate the visual control of locomotion. In the lobula, visual projection neurons coordinate complex behavioral responses to visual features, however, the input circuitry and computations that bestow their feature-detecting properties are less clear. Here, we study a highly specialized small object motion detector, LC11, and demonstrate that its responses are suppressed by local background motion. We show that LC11 expresses GABA-A receptors that serve to sculpt responses to small objects but are not responsible for the rejection of background motion. Instead, LC11 is innervated by columnar T2 and T3 neurons that are themselves highly sensitive to small static or moving objects, insensitive to wide-field motion and, unlike T4/T5, respond to both ON and OFF luminance steps.
- Published
- 2020
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