Search Results - "Pedersen, Mads L."

Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorder by Pedersen, Mads L, Ironside, Maria, Amemori, Ken-Ichi, McGrath, Callie L, Kang, Min S, Graybiel, Ann M, Pizzagalli, Diego A, Frank, Michael J

“…Adaptive behavior requires balancing approach and avoidance based on the rewarding and aversive consequences of actions. Imbalances in this evaluation are…”
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The Role of the Dorsal–Lateral Prefrontal Cortex in Reward Sensitivity During Approach–Avoidance Conflict by Rolle, Camarin E, Pedersen, Mads L, Johnson, Noriah, Amemori, Ken-ichi, Ironside, Maria, Graybiel, Ann M, Pizzagalli, Diego A, Etkin, Amit

“…Abstract Approach–Avoidance conflict (AAC) arises from decisions with embedded positive and negative outcomes, such that approaching leads to reward and…”
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Associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9–11 by Fernandez-Cabello, Sara, Alnæs, Dag, van der Meer, Dennis, Dahl, Andreas, Holm, Madelene, Kjelkenes, Rikka, Maximov, Ivan I., Norbom, Linn B., Pedersen, Mads L., Voldsbekk, Irene, Andreassen, Ole A., Westlye, Lars T.

“…Psychiatric disorders are highly heritable and polygenic, and many have their peak onset in late childhood and adolescence, a period of tremendous changes…”
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Associations between everyday activities and arterial spin labeling‐derived cerebral blood flow: A longitudinal study in community‐dwelling elderly volunteers by Sanders, Anne‐Marthe, Richard, Geneviève, Kolskår, Knut, Ulrichsen, Kristine M., Alnæs, Dag, Beck, Dani, Dørum, Erlend S., Engvig, Andreas, Lund, Martina Jonette, Nordhøy, Wibeke, Pedersen, Mads L., Rokicki, Jaroslav, Nordvik, Jan Egil, Westlye, Lars T.

“…Cerebral blood flow (CBF) is critical for brain metabolism and function. Age‐related changes in CBF are associated with increased risk of neurocognitive…”
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Adipose tissue distribution from body MRI is associated with cross-sectional and longitudinal brain age in adults by Beck, Dani, de Lange, Ann-Marie G., Alnæs, Dag, Maximov, Ivan I., Pedersen, Mads L., Leinhard, Olof Dahlqvist, Linge, Jennifer, Simon, Rozalyn, Richard, Geneviève, Ulrichsen, Kristine M., Dørum, Erlend S., Kolskår, Knut K., Sanders, Anne-Marthe, Winterton, Adriano, Gurholt, Tiril P., Kaufmann, Tobias, Steen, Nils Eiel, Nordvik, Jan Egil, Andreassen, Ole A., Westlye, Lars T.

“…•There is an intimate body-brain connection in ageing, and obesity is a key risk factor for poor cardiometabolic health and neurodegenerative conditions.•We…”
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Exploring the associations between physical activity level, cognitive performance, and response to computerized cognitive training among chronic stroke patients by Sanders, Anne‐Marthe, Richard, Geneviève, Kolskår, Knut, Ulrichsen, Kristine M., Alnæs, Dag, Dørum, Erlend S., Ihle‐Hansen, Hege, Pedersen, Mads L., Nordvik, Jan Egil, Westlye, Lars T.

“…Background Post‐stroke attentional and working memory deficits are common and represent relevant predictors of long‐term functional recovery and outcome. The…”
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Increased default-mode variability is related to reduced task-performance and is evident in adults with ADHD by Mowinckel, Athanasia M, Alnæs, Dag, Pedersen, Mads L, Ziegler, Sigurd, Fredriksen, Mats, Kaufmann, Tobias, Sonuga-Barke, Edmund, Endestad, Tor, Westlye, Lars T, Biele, Guido

“…Insufficient suppression and connectivity of the default mode network (DMN) is a potential mediator of cognitive dysfunctions across various disorders,…”
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Associations between abdominal adipose tissue, reproductive span, and brain characteristics in post-menopausal women by Schindler, Louise S., Subramaniapillai, Sivaniya, Barth, Claudia, van der Meer, Dennis, Pedersen, Mads L., Kaufmann, Tobias, Maximov, Ivan I., Linge, Jennifer, Leinhard, Olof Dahlqvist, Beck, Dani, Gurholt, Tiril P., Voldsbekk, Irene, Suri, Sana, Ebmeier, Klaus P., Draganski, Bogdan, Andreassen, Ole A., Westlye, Lars T., de Lange, Ann-Marie G.

“…•Menopause involves decreased oestrogen and higher risk of obesity, which can impact brain health.•Body composition, oestrogen exposure, and brain health…”
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Brain disconnectome mapping derived from white matter lesions and serum neurofilament light levels in multiple sclerosis: A longitudinal multicenter study by Rise, Henning H., Brune, Synne, Chien, Claudia, Berge, Tone, Bos, Steffan D., Andorrà, Magí, Valdeolivas, Irene Pulido, Beyer, Mona K., Sowa, Piotr, Scheel, Michael, Brandt, Alexander U., Asseyer, Susanna, Blennow, Kaj, Pedersen, Mads L., Zetterberg, Henrik, de Schotten, Michel Thiebaut, Cellerino, Maria, Uccelli, Antonio, Paul, Friedemann, Villoslada, Pablo, Harbo, Hanne F., Westlye, Lars T., Høgestøl, Einar A.

“…•Individual disconnectome maps generated using a template of 7T MRI data.•Disconnectome maps conceptualize distal brain network aberrations.•Using lesions maps…”
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Modelling ADHD: A review of ADHD theories through their predictions for computational models of decision-making and reinforcement learning by Ziegler, Sigurd, Pedersen, Mads L., Mowinckel, Athanasia M., Biele, Guido

“…•The review analyses core neurobiological theories of ADHD.•Derives their predictions for computational models of decision-making and learning.•Reviews current…”
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Beyond Drift Diffusion Models: Fitting a Broad Class of Decision and Reinforcement Learning Models with HDDM by Fengler, Alexander, Bera, Krishn, Pedersen, Mads L, Frank, Michael J

“…Computational modeling has become a central aspect of research in the cognitive neurosciences. As the field matures, it is increasingly important to move…”
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Cardiometabolic risk factors associated with brain age and accelerate brain ageing by Beck, Dani, Lange, Ann‐Marie G., Pedersen, Mads L., Alnæs, Dag, Maximov, Ivan I., Voldsbekk, Irene, Richard, Geneviève, Sanders, Anne‐Marthe, Ulrichsen, Kristine M., Dørum, Erlend S., Kolskår, Knut K., Høgestøl, Einar A., Steen, Nils Eiel, Djurovic, Srdjan, Andreassen, Ole A., Nordvik, Jan E., Kaufmann, Tobias, Westlye, Lars T.

“…The structure and integrity of the ageing brain is interchangeably linked to physical health, and cardiometabolic risk factors (CMRs) are associated with…”
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Simultaneous Hierarchical Bayesian Parameter Estimation for Reinforcement Learning and Drift Diffusion Models: a Tutorial and Links to Neural Data by Pedersen, Mads L., Frank, Michael J.

“…Cognitive models have been instrumental for generating insights into the brain processes underlying learning and decision making. In reinforcement learning it…”
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Dissecting the cognitive phenotype of post‐stroke fatigue using computerized assessment and computational modeling of sustained attention by Ulrichsen, Kristine M., Alnæs, Dag, Kolskår, Knut K., Richard, Geneviève, Sanders, Anne‐Marthe, Dørum, Erlend S., Ihle‐Hansen, Hege, Pedersen, Mads L., Tornås, Sveinung, Nordvik, Jan E., Westlye, Lars T.

“…Post‐stroke fatigue (PSF) is prevalent among stroke patients, but its mechanisms are poorly understood. Many patients with PSF experience cognitive…”
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A 10-Year Longitudinal Study of Brain Cortical Thickness in People with First-Episode Psychosis Using Normative Models by Berthet, Pierre, Haatveit, Beathe C, Kjelkenes, Rikka, Worker, Amanda, Kia, Seyed Mostafa, Wolfers, Thomas, Rutherford, Saige, Alnaes, Dag, Dinga, Richard, Pedersen, Mads L, Dahl, Andreas, Fernandez-Cabello, Sara, Dazzan, Paola, Agartz, Ingrid, Nesvåg, Ragnar, Ueland, Torill, Andreassen, Ole A, Simonsen, Carmen, Westlye, Lars T, Melle, Ingrid, Marquand, Andre

“…Clinical forecasting models have potential to optimize treatment and improve outcomes in psychosis, but predicting long-term outcomes is challenging and…”
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Intact responses to non-drug rewards in long-term opioid maintenance treatment by Eikemo, Marie, Lobmaier, Philipp P, Pedersen, Mads L, Kunøe, Nikolaj, Matziorinis, Anna Maria, Leknes, Siri, Sarfi, Monica

“…Disruption of non-drug reward processing in addiction could stem from long-term drug use, addiction-related psychosocial stress, or a combination of these. It…”
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Identifying multimodal signatures underlying the somatic comorbidity of psychosis: the COMMITMENT roadmap by Schwarz, Emanuel, Alnæs, Dag, Andreassen, Ole A., Cao, Han, Chen, Junfang, Degenhardt, Franziska, Doncevic, Daria, Dwyer, Dominic, Eils, Roland, Erdmann, Jeanette, Herrmann, Carl, Hofmann-Apitius, Martin, Kaufmann, Tobias, Koutsouleris, Nikolaos, Kodamullil, Alpha T., Khuntia, Adyasha, Mucha, Sören, Nöthen, Markus M., Paul, Riya, Pedersen, Mads L., Quintero, Andres, Schunkert, Heribert, Sharma, Ashwini, Tost, Heike, Westlye, Lars T., Zhang, Youcheng, Meyer-Lindenberg, Andreas

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Cardiometabolic risk factors associated with brain age and accelerated brain ageing by Beck, Dani, de Lange, Ann‐Marie G., Pedersen, Mads L., Alnæs, Dag, Maximov, Ivan I., Voldsbekk, Irene, Richard, Geneviève, Sanders, Anne‐Marthe, Ulrichsen, Kristine M., Dørum, Erlend S., Kolskår, Knut K., Høgestøl, Einar A., Steen, Nils Eiel, Djurovic, Srdjan, Andreassen, Ole A., Nordvik, Jan E., Kaufmann, Tobias, Westlye, Lars T.

“…Abstract The structure and integrity of the ageing brain is interchangeably linked to physical health, and cardiometabolic risk factors (CMRs) are associated…”
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Computational Modeling of the n-Back Task in the ABCD Study: Associations of Drift Diffusion Model Parameters to Polygenic Scores of Mental Disorders and Cardiometabolic Diseases by Pedersen, Mads L., Alnæs, Dag, van der Meer, Dennis, Fernandez-Cabello, Sara, Berthet, Pierre, Dahl, Andreas, Kjelkenes, Rikka, Schwarz, Emanuel, Thompson, Wesley K., Barch, Deanna M., Andreassen, Ole A., Westlye, Lars T.

“…Cognitive dysfunction is common in mental disorders and represents a potential risk factor in childhood. The nature and extent of associations between…”
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Assessing the Longitudinal Associations Between Decision-Making Processes and Attention Problems in Early Adolescence by Wiker, Thea, Pedersen, Mads L, Ferschmann, Lia, Beck, Dani, Norbom, Linn B, Dahl, Andreas, von Soest, Tilmann, Agartz, Ingrid, Andreassen, Ole A, Moberget, Torgeir, Westlye, Lars T, Huster, Rene J, Tamnes, Christian K

“…Cognitive functions and psychopathology develop in parallel in childhood and adolescence, but the temporal dynamics of their associations are poorly…”
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