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Kamila E. Sip

Researcher at Icahn School of Medicine at Mount Sinai

Publications -  9
Citations -  457

Kamila E. Sip is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Deception & Framing effect. The author has an hindex of 9, co-authored 9 publications receiving 412 citations. Previous affiliations of Kamila E. Sip include Rutgers University & Aarhus University Hospital.

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Detecting deception: the scope and limits

TL;DR: With the increasing interest in the neuroimaging of deception and its commercial application, there is a need to pay more attention to methodology and paradigms.
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The production and detection of deception in an interactive game.

TL;DR: This experiment tests how people produce and detect deception while playing a computerized version of the dice game, Meyer, and suggests that the activity in BA10 is associated with the development of high-level executive strategies involved in both types of claim, while the premotor and parietal activity is associatedwith the need to select which particular claim to make.
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What if I Get Busted? Deception, Choice, and Decision-Making in Social Interaction

TL;DR: The results show that participants were slower to give honest responses than to give deceptive responses when they knew more about the display and could use this knowledge for their own benefit, suggesting the decision to deceive is affected by the potential risk of social confrontation rather than the claim itself.
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Social closeness and feedback modulate susceptibility to the framing effect

TL;DR: Social closeness is highlighted as an important factor in understanding the impact of SFB on neural mechanisms of decision-making and the level of closeness with feedback provider (friend, confederate) and the framing effect was observed in both experiments.
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Functional Connectivity with Distinct Neural Networks Tracks Fluctuations in Gain/Loss Framing Susceptibility

TL;DR: As framing susceptibility increased, the MPFC increased connectivity with DMN; in contrast, temporal‐parietal junction decreased connectivity with the ECN, highlighting how functional connectivity patterns with distinct neural networks contribute to idiosyncratic behavioral changes.