Peter J. Mucha
14 Papers
Peter J. Mucha is an academic researcher. The author has contributed to research in topics: Medicine & Cognition. The author has an hindex of 1, co-authored 4 publications.
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Papers
Mindful attention promotes control of brain network dynamics for self-regulation and discontinues the past from the present
Dale Zhou,Yoona Kang,Dani Cosme,Mia Jovanova,Xiaosong He,Arun S. Mahadevan,Jeesung Ahn,Ovidia Stanoi,Julia K. Brynildsen,Nicole Cooper,Eli J. Cornblath,Linden Parkes,Peter J. Mucha,Kevin N. Ochsner,David M. Lydon-Staley,Emily B. Falk,Danielle S. Bassett +16 more
TL;DR: In this paper , a randomized controlled study of alcohol consumption, the authors found that a brain network's dynamic shape predicts individuals' future alcohol consumption and explains otherwise elusive components of mindful experience, such as being present.
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Altered neural flexibility in children with attention-deficit/hyperactivity disorder
TL;DR: In this article , the authors applied multilayer community detection to resting-state fMRI data in 180 children with ADHD and 180 typically developing children (TDC) to identify alterations in dynamic brain reconfiguration in children with Attention Deficit/Hyperactivity disorder.
Psychological distance intervention reminders reduce alcohol consumption frequency in daily life
Mia Jovanova,Dani Cosme,Bruce P. Doré,Yoon Ji Kang,Ovidia Stanoi,Nicole Cooper,Chelsea Helion,Silicia Lomax,Amanda L. McGowan,Zachary Boyd,Danielle S. Bassett,Peter J. Mucha,Kevin N. Ochsner,David M. Lydon-Staley,Emily B. Falk +14 more
TL;DR: It is found that smartphone-based mindfulness and perspective-taking interventions, aimed to create psychological distance, can change behavior, which requires repeated reminders which can be delivered via smartphones.
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Sequential stacking link prediction algorithms for temporal networks
Xie He,Amirhossein Ghasemian,Eun Lee,Aaron Clauset,Peter J. Mucha +4 more
TL;DR: This sequential stacking link prediction method uses 41 static network features that avoid detailed feature engineering choices and is capable of learning a highly accurate predictive distribution of future connections from historical data.
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Within-Person Temporal Associations Among Self-Reported Physical Activity, Sleep, and Well-Being in College Students
Amanda L. McGowan,Zachary M. Boyd,Yoona Kang,Logan Bennett,Peter J. Mucha,Kevin N. Ochsner,Danielle S. Bassett,Emily B. Falk,David M. Lydon-Staley +8 more
TL;DR: In this paper , the authors examined day-to-day temporal and contemporaneous dynamics using multilevel vector autoregressive models that consider the network of wellness together, and found that higher physical activity on a given day predicted an increase of happiness the next day.
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