Priming and statistical learning in right brain damaged patients

Shaqiri, Albulena; Anderson, Britt

doi:10.1016/j.neuropsychologia.2013.09.024

Cited by 26 publications

(18 citation statements)

References 45 publications

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“…Together with the topography of connections that correlated (negatively) with statistical learning, this suggests that the inhibition of the left, in particular parietal, sites is beneficial for statistical memory. This is in line with studies showing that the right hemisphere is important for statistical learning (Roser et al, 2011;Shaqiri and Anderson, 2013;Janacsek et al, 2015).…”

Section: Discussionsupporting

confidence: 92%

Similarity of brain activity patterns during learning and subsequent resting state predicts memory consolidation

Zavecz

Janacsek

Simor

et al. 2020

Preprint

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Long-term memory depends on memory consolidation that seems to rely on learning-induced changes in the brain activity. Here, we introduced a novel approach analyzing continuous EEG data to study learning-induced changes as well as trait-like characteristics in brain activity underlying consolidation. Thirty-one healthy young adults performed a learning task and their performance was retested after a short (~1h) delay, that enabled us to investigate the consolidation of serial-order and probability information simultaneously. EEG was recorded during a pre- and post-learning rest period and during learning. To investigate the brain activity associated with consolidation performance, we quantified similarities in EEG functional connectivity of learning and pre-learning rest (baseline similarity) as well as learning and post-learning rest (post-learning similarity). While comparable patterns of these two could indicate trait-like similarities, changes in similarity from baseline to post-learning could indicate learning-induced changes, possibly spontaneous reactivation. Individuals with higher learning-induced changes in alpha frequency connectivity (8.5-9.5 Hz) showed better consolidation of serial-order information. This effect was stronger for more distant channels, highlighting the role of long-range centro-parietal networks underlying the consolidation of serial-order information. The consolidation of probability information was associated with learning-induced changes in delta frequency connectivity (2.5-3 Hz) and seemed to be dependent on more local, short-range connections. Beyond these associations with learning-induced changes, we also found substantial overlap between the baseline and post-learning similarity and their associations with consolidation performance, indicating that stable (trait-like) differences in functional connectivity networks may also be crucial for memory consolidation.

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Section: Discussionsupporting

confidence: 92%

Similarity of brain activity patterns during learning and subsequent resting state predicts memory consolidation

Zavecz

Janacsek

Simor

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…It is not possible to draw firm conclusions about the underlying neural mechanisms from the fact that the manipulation of prior probabilities exerted maximum effects at electrode F4 (i.e., right-lateralized). There exist some hints that the right cerebral hemisphere might be dominant for statistical processing in general (Anderson, 2008;Danckert, Stöttinger, Quehl, & Anderson, 2012;Roser, Fiser, Aslin, & Gazzaniga, 2011;Shaqiri & Anderson, 2013).…”

Section: The P3a Component In the Urn-ball Taskmentioning

confidence: 99%

P300 amplitude variations, prior probabilities, and likelihoods: A Bayesian ERP study

Kopp

Seer

Lange

et al. 2016

Cogn Affect Behav Neurosci

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The capability of the human brain for Bayesian inference was assessed by manipulating probabilistic contingencies in an urn-ball task. Event-related potentials (ERPs) were recorded in response to stimuli that differed in their relative frequency of occurrence (.18 to .82). A veraged ERPs with sufficient signal-to-noise ratio (relative frequency of occurrence > .5) were used for further analysis. Research hypotheses about relationships between probabilistic contingencies and ERP amplitude variations were formalized as (in-)-equality constrained hypotheses. Conducting Bayesian model comparisons, we found that manipulations of prior probabilities and likelihoods were associated with separately modifiable and distinct ERP responses. P3a amplitudes were sensitive to the degree of prior certainty such that higher prior probabilities were related to larger frontally distributed P3a waves. P3b amplitudes were sensitive to the degree of likelihood certainty such that lower likelihoods were associated with larger parietally distributed P3b waves. These ERP data suggest that these antecedents of Bayesian inference (prior probabilities and likelihoods) are coded by the human brain.

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“…We initiated these experiments with several expectations: based on our prior probability learning work (Shaqiri and Anderson, 2013), we expected the presence of neglect to interact with statistical learning deficits. Therefore, we partitioned our right brain damaged (RBD) participants into subgroups with (+N) and without (−N) neglect.…”

Section: Introductionmentioning

confidence: 99%

Statistical Learning Impairments as a Consequence of Stroke

Shaqiri

Danckert

Burnett

et al. 2018

Front. Hum. Neurosci.

Self Cite

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Statistical learning is the implicit learning of the contingencies between sequential stimuli, typically from mere exposure. It is present from infancy onward, and plays a role in functions from language learning to selective attention. Despite these observations, there are few data on whether statistical learning capacity changes with age or after brain injury. In order to examine how brain injury affects the ability to learn and update statistical representations, we had young control and healthy elder participants, as well as participants with either left or right brain injury, perform an auditory statistical learning task. Participants listened to two languages with made-up words that were defined by the transition probability between syllables. Following passive listening, learning was assessed with a two-alternative forced choice test for the most familiar word. As in previous studies, we found that young controls have a learning capacity limitation for statistical learning; a second language is less well learned than the first, and this statistical learning capacity limit is attenuated with age. Additionally, we found that brain damaged patients, whether with left or right hemispheric damage, showed impaired statistical learning. This impairment was not explained by aphasia or cognitive deficits. As statistical learning is a critical skill for daily life, a better appreciation of the nature of this impairment will improve our understanding of the cognitive effects of brain injury and could lead to new rehabilitation strategies.

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Priming and statistical learning in right brain damaged patients

Cited by 26 publications

References 45 publications

Similarity of brain activity patterns during learning and subsequent resting state predicts memory consolidation

Similarity of brain activity patterns during learning and subsequent resting state predicts memory consolidation

P300 amplitude variations, prior probabilities, and likelihoods: A Bayesian ERP study

Statistical Learning Impairments as a Consequence of Stroke

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