Author response: Sensory prediction errors in the human midbrain signal identity violations independent of perceptual distance

Suarez, Javier A; Howard, James D.; Schoenbaum, Geoffrey; Kahnt, Thorsten

doi:10.7554/elife.43962.032

Cited by 2 publications

(1 citation statement)

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“…Midbrain and basal forebrain contain dopaminergic and cholinergic neurons, respectively, suggesting that (i) dopaminergic midbrain neurons might signal PEs unrelated to reward and (ii) cholinergic neuron activity in the basal forebrain might reflect PEs about probabilities and may thus relate to "expected uncertainty" (204). Although a subsequent pharmacological study in human volunteers using the same paradigm did not support this notion (205), the finding that midbrain activity may reflect rewardunrelated prediction errors has since been replicated in several animal (206,207) and human studies (208).…”

Section: Tapas In Actionmentioning

confidence: 99%

TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry

et al. 2021

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Psychiatry faces fundamental challenges with regard to mechanistically guided differential diagnosis, as well as prediction of clinical trajectories and treatment response of individual patients. This has motivated the genesis of two closely intertwined fields: (i) Translational Neuromodeling (TN), which develops “computational assays” for inferring patient-specific disease processes from neuroimaging, electrophysiological, and behavioral data; and (ii) Computational Psychiatry (CP), with the goal of incorporating computational assays into clinical decision making in everyday practice. In order to serve as objective and reliable tools for clinical routine, computational assays require end-to-end pipelines from raw data (input) to clinically useful information (output). While these are yet to be established in clinical practice, individual components of this general end-to-end pipeline are being developed and made openly available for community use. In this paper, we present the Translational Algorithms for Psychiatry-Advancing Science (TAPAS) software package, an open-source collection of building blocks for computational assays in psychiatry. Collectively, the tools in TAPAS presently cover several important aspects of the desired end-to-end pipeline, including: (i) tailored experimental designs and optimization of measurement strategy prior to data acquisition, (ii) quality control during data acquisition, and (iii) artifact correction, statistical inference, and clinical application after data acquisition. Here, we review the different tools within TAPAS and illustrate how these may help provide a deeper understanding of neural and cognitive mechanisms of disease, with the ultimate goal of establishing automatized pipelines for predictions about individual patients. We hope that the openly available tools in TAPAS will contribute to the further development of TN/CP and facilitate the translation of advances in computational neuroscience into clinically relevant computational assays.

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Section: Tapas In Actionmentioning

confidence: 99%

TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry

et al. 2021

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Neural Mechanisms Underlying Expectation-Guided Decision-Making

Kahnt

2022

Front. Behav. Neurosci.

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This study was funded by Dr. Rüdiger Seitz, via the Volkswagen Foundation, Siemens Healthineers, and the Betz Foundation. The author was supported by the Intramural Research Program at the National Institute on Drug Abuse, and the expressed opinions are the author's own and do not reflect the view of the NIH/DHHS. Siemens Healthineers was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication. ACKNOWLEDGMENTSThe author thanks the members of the Kahnt Lab who have performed the work summarized here.

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Author response: Sensory prediction errors in the human midbrain signal identity violations independent of perceptual distance

Cited by 2 publications

References 0 publications

TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry

TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry

Neural Mechanisms Underlying Expectation-Guided Decision-Making

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