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Prasanta Pal

Researcher at University of Massachusetts Medical School

Publications -  25
Citations -  526

Prasanta Pal is an academic researcher from University of Massachusetts Medical School. The author has contributed to research in topics: Speckle pattern & Animal fat. The author has an hindex of 12, co-authored 22 publications receiving 425 citations. Previous affiliations of Prasanta Pal include University of Calcutta & Yale University.

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Journal ArticleDOI

Craving to Quit: A Randomized Controlled Trial of Smartphone App-Based Mindfulness Training for Smoking Cessation.

TL;DR: Findings provide preliminary evidence that smartphone app-based mindfulness training with experience sampling may lessen the association between craving and smoking, an effect that did not lead to reduced smoking abstinence rates compared with control but may be meaningful to support quitting and prevent relapse in the longer-term.
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Arjunolic acid, a triterpenoid saponin, ameliorates arsenic-induced cyto-toxicity in hepatocytes.

TL;DR: Experimental results suggest that AA protects arsenic-induced cytotoxicity in murine hepatocytes, and the cytoprotective activity of AA was found to be comparable to that of a known antioxidant, vitamin C.
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Source-space EEG neurofeedback links subjective experience with brain activity during effortless awareness meditation

TL;DR: The findings support the feasibility of using EEG neurofeedback to link an objective measure of brain activity with the subjective experience of effortless awareness, and suggest potential utility of this paradigm as a tool for meditation training.
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A randomized controlled trial of smartphone-based mindfulness training for smoking cessation: a study protocol

TL;DR: This is the first intervention study to evaluate smartphone-based delivery of mindfulness training for smoking cessation, and it is suggested that such an intervention may provide treatment in-hand, in real-world contexts, to help individuals quit smoking.
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Meditation is associated with increased brain network integration.

TL;DR: Results show that alpha band functional network topology is better integrated in experienced meditators than in novices during meditation, which provides the rationale to investigate the temporal relation between measures of functional connectivity network integration and meditation quality, for example using neurophenomenology experiments.