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Search results (40)

« Back to Publications

Expectation Modulates Hedonic Experiences and Midbrain Responses to Sweet Flavor.

Mainetto E. et al, (2026), J Neurosci, 46

Characterizing the Pleiotropic Architecture of Impulsivity and Its Links to Psychopathology and Neurodevelopment.

Mallard TT. et al, (2026), Am J Psychiatry, 183, 31 - 47

Eating disorder symptoms are associated with altered reinforcement learning in the general population

Westwater ML. et al, (2025)

The joint estimation of uncertainty and its relationship with psychotic-like traits and psychometric schizotypy.

Gibbs-Dean T. et al, (2025), Npj Ment Health Res, 4

Functional Connectome Correlates of Laterality Preferences: Insights into Hand, Foot, and Eye Dominance across the Lifespan.

Tejavibulya L. et al, (2025), eNeuro, 12

Trends in self-citation rates in high-impact neurology, neuroscience, and psychiatry journals.

Rosenblatt M. et al, (2025), Elife, 12

Expectation modulates the hedonic experiences of and midbrain responses to sweet flavour

Mainetto E. et al, (2025)

Brain handedness associations depend on how and when handedness is measured.

Tejavibulya L. et al, (2025), Sci Rep, 15

Overlooked features lead to divergent neurobiological interpretations of brain-based machine learning biomarkers

Adkinson BD. et al, (2025)

BrainEffeX: A Web App for Exploring fMRI Effect Sizes.

Shearer H. et al, (2025), Apert Neuro, 5

Power and reproducibility in the external validation of brain-phenotype predictions.

Rosenblatt M. et al, (2024), Nat Hum Behav, 8, 2018 - 2033

Sociodemographic correlates of parent and youth-reported eating disorder symptoms in the Adolescent Brain Cognitive Development Study

Makowski C. et al, (2023)

Altered Brain Dynamics Across Bipolar Disorder and Schizophrenia During Rest and Task Switching Revealed by Overlapping Brain States.

Ye J. et al, (2023), Biol Psychiatry, 94, 580 - 590

Assessing a multivariate model of brain-mediated genetic influences on disordered eating in the ABCD cohort

Westwater ML. et al, (2023), Nature Mental Health, 1, 573 - 585

Connectome-based machine learning models are vulnerable to subtle data manipulations.

Rosenblatt M. et al, (2023), Patterns (N Y), 4

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