• Replay bursts in humans coincide with activation of the default mode and parietal alpha networks 

      External author(s) only (2020-12)
      Replay in humans coincides with activity in specific resting brain networks Clusters of heightened default mode and alpha activity are linked to replay bursts These networks are characterized by highly synchronized ...
    • Shared and separate patterns in brain morphometry across transdiagnostic dimensions 

      McCutcheon, Robert A; Cipriani, Andrea (2023-01)
      Determining similarities and differences in brain structure across psychiatric disorders is important to determine if psychiatric taxonomy is reflected in distinct brain structural changes. As previous neuroimaging ...
    • Stimulating human prefrontal cortex increases reward learning 

      Browning, Michael (2021-01)
      Work in computational psychiatry suggests that mood disorders may stem from aberrant reinforcement learning processes. Specifically, it is proposed that depressed individuals believe that negative events are more informative ...
    • Study Protocol: The Heart and Brain Study 

      External author(s) only (2021-03)
      Background: It is well-established that what is good for the heart is good for the brain. Vascular factors such as hypertension, diabetes, and high cholesterol, and genetic factors such as the apolipoprotein E4 allele ...
    • The tempos of Performance 

      External author(s) only (2019-06)
      Human performance fluctuates over time. Rather than random, the complex time course of variation reflects, among other factors, influences from regular periodic processes operating at multiple time scales. In this review, ...
    • Transient spectral events in resting state MEG predict individual task responses 

      External author(s) only (2020-07)
      Even in response to simple tasks such as hand movement, human brain activity shows remarkable inter-subject variability. Recently, it has been shown that individual spatial variability in fMRI task responses can be ...