Facebook pixelReexamination of “Release-From-Pi” Phenomena: Recall Accuracy Does Not Recover After a Semantic Switch
Go to home page

Reexamination of “Release-From-Pi” Phenomena: Recall Accuracy Does Not Recover After a Semantic Switch

A diverse group of teenage students (college or high school) are holding school books and smiling to the camera.

Memory

Nicholas A. Hubbard, Travis P. Weaver, Monrow P. Turner and Bart Rypma

Read full research article

Overview

Prior research has consistently demonstrated that word recall decreases over successive trials of similar words (proactive interference). A way to improve subsequent memory is by using words that are semantically different from previous trials or have different meanings. This is thought to overcome the proactive interference seen in semantically similar trials. To further assess this phenomenon, participants in this study completed trials of stimulus words to recall – subsequent trials of words that had different meanings, and then an additional trial of had words with meanings the same as the first trial. The accuracy of these trials was assessed to see if proactive interference was reduced or increased throughout these trials of varied semantics. These research findings show that recall accuracy actually decreased in all trials, demonstrating that proactive interference was maintained.
Figure 2. Results from Experiment 1. (A) Participants received three trials of animal triads then one triad of furniture words. (B) Participants received three trials of fruit triads and then either one profession word triad (distal shift) or one vegetable word triad (proximal shift). Points represent mean recall accuracy, error bars represent 1 SEM.

Figure 2. Results from Experiment 1. (A) Participants received three trials of animal triads then one triad of furniture words. (B) Participants received three trials of fruit triads and then either one profession word triad (distal shift) or one vegetable word triad (proximal shift). Points represent mean recall accuracy, error bars represent 1 SEM.

Share this article


Bart Rypma, PhD

Principal Investigator Professor, Behavioral and Brain Sciences at UT Dallas Meadows Foundation Endowed Chair in Behavioral and Brain Sciences Director, Sammons BrainHealth Imaging Center


Related Information

Baseline Cerebral Metabolism Predicts Fatigue and Cognition in Multiple Sclerosis Patients

MRI technology permits non-invasive monitoring of brain oxygen metabolism, a measurement shown to be predictive of fatigue and cognitive dysfunction, common effects of multiple sclerosis.

Cognitive Training Improves Brain Blood Flow, Cognition in Those With Bipolar Disorder

A new study from Center for BrainHealth at UT Dallas shows that strategy-based reasoning training may improve brain health in those with bipolar disorder.