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Embedded Temporal Patterns in the Feedback Signal Differentially Predict VTA Neurofeedback-Mediated Learning to Self-Regulate Motivation

Publication ,  Conference
Hakimi, S; MacInnes, JJ; Dickerson, KC; McDonald, K; Adcock, RA
Published in: Neuropsychopharmacology
2020

Duke Scholars

Published In

Neuropsychopharmacology

EISSN

1740-634X

ISSN

0893-133X

Publication Date

2020

Volume

45

Issue

SUPPL 1

Start / End Page

378 / 379

Related Subject Headings

  • Psychiatry
  • 17 Psychology and Cognitive Sciences
  • 11 Medical and Health Sciences
 

Citation

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ICMJE
MLA
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Hakimi, S., MacInnes, J. J., Dickerson, K. C., McDonald, K., & Adcock, R. A. (2020). Embedded Temporal Patterns in the Feedback Signal Differentially Predict VTA Neurofeedback-Mediated Learning to Self-Regulate Motivation. In Neuropsychopharmacology (Vol. 45, pp. 378–379).
Hakimi, Shabnam, Jeffrey J. MacInnes, Kathryn C. Dickerson, Kelsey McDonald, and R Alison Adcock. “Embedded Temporal Patterns in the Feedback Signal Differentially Predict VTA Neurofeedback-Mediated Learning to Self-Regulate Motivation.” In Neuropsychopharmacology, 45:378–79, 2020.
Hakimi S, MacInnes JJ, Dickerson KC, McDonald K, Adcock RA. Embedded Temporal Patterns in the Feedback Signal Differentially Predict VTA Neurofeedback-Mediated Learning to Self-Regulate Motivation. In: Neuropsychopharmacology. 2020. p. 378–9.
Hakimi, Shabnam, et al. “Embedded Temporal Patterns in the Feedback Signal Differentially Predict VTA Neurofeedback-Mediated Learning to Self-Regulate Motivation.” Neuropsychopharmacology, vol. 45, no. SUPPL 1, 2020, pp. 378–79.
Hakimi S, MacInnes JJ, Dickerson KC, McDonald K, Adcock RA. Embedded Temporal Patterns in the Feedback Signal Differentially Predict VTA Neurofeedback-Mediated Learning to Self-Regulate Motivation. Neuropsychopharmacology. 2020. p. 378–379.

Published In

Neuropsychopharmacology

EISSN

1740-634X

ISSN

0893-133X

Publication Date

2020

Volume

45

Issue

SUPPL 1

Start / End Page

378 / 379

Related Subject Headings

  • Psychiatry
  • 17 Psychology and Cognitive Sciences
  • 11 Medical and Health Sciences