Anticipation boosts forgetting of voluntarily suppressed memories

Hanslmayr, Simon; Leipold, Philipp; Bäuml, Karl‐Heinz T.

doi:10.1080/09658210903476548

Cited by 45 publications

(53 citation statements)

References 17 publications

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“…Thus, direct suppression yielded little evidence of retrieval-related activity, whereas thought substitution did. Similar electrophysiological and behavioral effects of direct suppression have been found by others ( Hanslmayr, Leipold, Pastötter, & Bäuml, 2009 ;Hanslmayr, Leipold, & Bauml, 2010 ) .…”

Section: Direct Suppression Can Induce Negative Control Effectssupporting

confidence: 69%

“…More recently, Anderson, Reinholz, Kuhl, and Mayr (2011) found 84%, 81%, 79%, and 76% across the same levels of repetition for younger adults. Similar parametric functions have been found by others ( Joormann et al, 2009 ;Kim, Yi, Yang, & Lee, 2007 ;Hanslmayr, Leipold, & Bauml, 2010 ;Joormann, Hertel, Brozovich, & Gotlib, 2005 ;Lambert et al, 2010 ;Lee, Lee, & Tsai, 2007 ) . Similar patterns are found on the Same and the Independent Probe tests (Fig.…”

Section: Negative Control Effects Build With Repetitionsupporting

confidence: 66%

“…Despite the evidence for control over conscious recollection manifest in the modulation of the parietal EM effect, the modulation of this component does not predict negative control effects (Bergstrom et al, 2007 ;Hanslmayr et al, 2010 ) . Other electrophysiological effects have been successfully related to inhibition, however, at least in the context of direct suppression.…”

Section: Electrophsyiological Indices Of Retrieval Suppressionmentioning

confidence: 99%

“…Studies have used face-word pairs (Depue, Banich, & Curran, 2006 ;Hanslmayr et al, 2010 ;Hanslmayr et al, 2009 ) , word-face and word-place pairs (Detre, Natarajan, & Norman 2010 ;Huddleston & Anderson, in preparation ) , word-line-drawing pairs (Kim & Yi, 2008 ) , and face-scene pairs (Depue et al, 2006 ;Depue, Curran, & Banich, 2007 ;Depue, Banich, Burgess, Willcut, & Ruzic, 2010 ). For example, in a study by Depue et al ( 2007 ) , participants studied pairs composed of faces and complex scenes varying widely in content, and were trained on these pairs until they could recognize the scene that went with each face.…”

Section: Generalizes To Non-verbal Materialsmentioning

confidence: 99%

“…For example, Hanslmayr et al ( 2010 ) asked participants to learn face-word associations and then perform the Think/No-Think task. In the preparation group, each Respond and Suppress trial was preceded by a 1-second task cross that was either colored red (Suppress) or green (Respond) to warn participants of the nature of the upcoming trial.…”

Section: Advance Warning Enlarges the Effectmentioning

confidence: 99%

See 4 more Smart Citations

Towards a Cognitive and Neurobiological Model of Motivated Forgetting

Anderson

Huddleston

2011

Nebraska Symposium on Motivation

151

149

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Historically, research on forgetting has been dominated by the assumption that forgetting is passive, refl ecting decay, interference, and changes in context. This emphasis arises from the pervasive assumption that forgetting is a negative outcome. Here, we present a functional view of forgetting in which the fate of experience in memory is determined as much by motivational forces that dictate the focus of attention as it is by passive factors. A central tool of motivated forgetting is retrieval suppression, a process whereby people shut down episodic retrieval to control awareness. We review behavioral, neurobiological, and clinical research and show that retrieval suppression leads us to forget suppressed experiences. We discuss key questions necessary to address to develop this model, relationships to other forgetting phenomena, and the implications of this research for understanding recovered memories. This work provides a foundation for understanding how motivational forces infl uence what we remember of life experience.

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Section: Direct Suppression Can Induce Negative Control Effectssupporting

confidence: 69%

Section: Negative Control Effects Build With Repetitionsupporting

confidence: 66%

Section: Electrophsyiological Indices Of Retrieval Suppressionmentioning

confidence: 99%

Section: Generalizes To Non-verbal Materialsmentioning

confidence: 99%

Section: Advance Warning Enlarges the Effectmentioning

confidence: 99%

See 3 more Smart Citations

Towards a Cognitive and Neurobiological Model of Motivated Forgetting

Anderson

Huddleston

2011

Nebraska Symposium on Motivation

151

149

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Meta‐analytic evidence shows no relationship between task‐based and self‐report measures of thought control

Göbel

Hensel

Schultheiss

et al. 2022

Applied Cognitive Psychology

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We meta‐analytically examined correlations between task‐based and self‐report thought control measures as well as potential moderators. Results of a frequentist meta‐analysis indicate that the two measures do not overlap, r = .07, 95% CI [−0.01;0.15] (k = 20; N = 1194); subgroup analyses for different self‐report measures r = .12; 95% CI [−0.06;0.30] and r = .03, 95% CI [−0.05;0.11], respectively. Additionally, we found no evidence for the presence of moderators. To further test whether the identified effect size is more consistent with a null effect or the assumption of a positive association, robust Bayesian meta‐analyses were conducted. We did not obtain sufficiently strong evidence to decide for or against a null effect. In sum, our findings suggest that task‐based and self‐report thought control measures might capture different psychological processes and thus call for more research on the different underlying processes and constructs they measure.

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Blocking of irrelevant memories by posterior alpha activity boosts memory encoding

Park

Lee

Kang

et al. 2014

Human Brain Mapping

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In our daily lives, we are confronted with a large amount of information. Because only a small fraction can be encoded in long-term memory, the brain must rely on powerful mechanisms to filter out irrelevant information. To understand the neuronal mechanisms underlying the gating of information into long-term memory, we employed a paradigm where the encoding was directed by a "Remember" or a "No-Remember" cue. We found that posterior alpha activity increased prior to the "No-Remember" stimuli, whereas it decreased prior to the "Remember" stimuli. The sources were localized in the parietal cortex included in the dorsal attention network. Subjects with a larger cue-modulation of the alpha activity had better memory for the to-be-remembered items. Interestingly, alpha activity reflecting successful inhibition following the "No-Remember" cue was observed in the frontal midline structures suggesting preparatory inhibition was mediated by anterior parts of the dorsal attention network. During the presentation of the memory items, there was more gamma activity for the "Remember" compared to the "No-Remember" items in the same regions. Importantly, the anticipatory alpha power during cue predicted the gamma power during item. Our findings suggest that top-down controlled alpha activity reflects attentional inhibition of sensory processing in the dorsal attention network, which then finally gates information to long-term memory. This gating is achieved by inhibiting the processing of visual information reflected by neuronal synchronization in the gamma band. In conclusion, the functional architecture revealed by region-specific changes in the alpha activity reflects attentional modulation which has consequences for long-term memory encoding.

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Anticipation boosts forgetting of voluntarily suppressed memories

Cited by 45 publications

References 17 publications

Towards a Cognitive and Neurobiological Model of Motivated Forgetting

Towards a Cognitive and Neurobiological Model of Motivated Forgetting

Meta‐analytic evidence shows no relationship between task‐based and self‐report measures of thought control

Blocking of irrelevant memories by posterior alpha activity boosts memory encoding

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