Prediction of successful memory encoding based on single-trial rhinal and hippocampal phase information

Höhne, Marlene; Jahanbekam, Amirhossein; Bauckhage, Christian; Axmacher, Nikolai; Fell, Juergen

doi:10.1016/j.neuroimage.2016.06.021

Cited by 20 publications

(27 citation statements)

References 29 publications

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“…Although this Running Head: The role of meaning in visual memory pg. 13 upper bound of decoding accuracy is rather low, this is expected given noisy single-trial EEG data and well-matched perceptual stimuli, in line with previous studies that have tried to decode subsequent memory or task performance in general using single-trial EEG activity (e.g., Höhne et al, 2016;Leydecker et al, 2014;Noh et al, 2014).…”

Section: Decoding Resultssupporting

confidence: 80%

The role of meaning in visual memory: Face-selective brain activity predicts memory for ambiguous face stimuli

Brady

Alvarez

Stoermer

2018

Preprint

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How people process images is known to affect memory for those images, but these effects have typically been studied using explicit task instructions to vary encoding. Here, we investigate the effects of intrinsic variation in processing on subsequent memory, testing whether recognizing an ambiguous stimulus as meaningful (as a face vs. as shape blobs) predicts subsequent visual memory even when matching the perceptual features and the encoding strategy between subsequently remembered and subsequently forgotten items. We show that single trial EEG activity can predict whether participants will subsequently remember an ambiguous Mooney face image (e.g., an image that will sometimes be seen as a face and sometimes not be seen as a face). In addition, we show that a classifier trained only to discriminate between whether participants perceive a face vs. non-face can generalize to predict whether an ambiguous image is subsequently remembered. Furthermore, when we examine the N170, an ERP index of face processing, we find that images that elicit larger N170s are more likely to be remembered than those that elicit smaller N170s, even when the exact same image elicited larger or smaller N170s across participants. Thus, images processed as meaningful -in this case as a face-during encoding are better remembered than identical images that are not processed as a face. This provides strong evidence that understanding the meaning of a stimulus during encoding plays a critical role in visual memory. Significance StatementIs visual memory inherently visual or does meaning and other conceptual information necessarily play a role even in memory for detailed visual information? Here we show that it's easier to remember an image when it's processed in a meaningful way --as indexed by the amount of category-specific brain activity it elicits. In particular, we use single-trial EEG activity to predict whether an image will be subsequently remembered, and show that the main driver of this prediction ability is whether or not an image is seen as meaningful or non-meaningful. This shows that the extent to which an image is processed as meaningful can be used to predict subsequent memory even when controlling for perceptual factors and encoding strategies that typically differ across images.

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Section: Decoding Resultssupporting

confidence: 80%

The role of meaning in visual memory: Face-selective brain activity predicts memory for ambiguous face stimuli

Brady

Alvarez

Stoermer

2018

Preprint

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“…Features were selected from the poststimulus interval between 0 and 2000 ms (please note that features were also chosen from the prestimulus range in Höhne et al . ()). For each patient, a set of training (60%), validation (20%) and test trials (20%) was randomly chosen.…”

Section: Methodsmentioning

confidence: 94%

“…To answer these questions, we reanalysed EEG signals recorded from the hippocampus and rhinal cortex of 27 presurgical epilepsy patients (13 female, 20–61 years, mean age 40.6) while they performed a continuous word recognition task (see Höhne et al ., ). The ERP waveforms, power spectra and inter‐trial phase locking findings for these data were reported in Fell et al .…”

Section: Methodsmentioning

confidence: 97%

“…Recently, we have found evidence for this hypothesis by evaluating whether single‐trial rhinal and hippocampal phase values are predictive for successful memory formation (Höhne et al ., ). Applying machine learning techniques, for the majority of investigated subjects (23 of 27) above‐chance prediction was possible based on only three single‐trial phase values: one rhinal phase, one hippocampal phase and one rhinal–hippocampal phase difference.…”

Section: Introductionmentioning

confidence: 97%

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Prediction of memory formation based on absolute electroencephalographic phases in rhinal cortex and hippocampus outperforms prediction based on stimulus‐related phase shifts

Derner

Jahanbekam

Bauckhage

et al. 2018

Eur J of Neuroscience

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Absolute (i.e. measured) rhinal and hippocampal phase values are predictive for memory formation. It has been an open question, whether the capability of mediotemporal structures to react to stimulus presentation with phase shifts may be similarly indicative of successful memory formation. We analysed data from 27 epilepsy patients implanted with depth electrodes in the hippocampus and entorhinal cortex, who performed a continuous word recognition task. Electroencephalographic phase information related to the first presentation of repeatedly presented words was used for prediction of subsequent remembering vs. forgetting applying a support vector machine. The capability to predict successful memory formation based on stimulus-related phase shifts was compared to that based on absolute phase values. Average hippocampal phase shifts were larger and rhinal phase shifts were more accumulated for later remembered compared to forgotten trials. Nevertheless, prediction based on absolute phase values clearly outperformed phase shifts and there was no significant increase in prediction accuracies when combining both measures. Our findings indicate that absolute rhinal and hippocampal phases and not stimulus-related phase shifts are most relevant for successful memory formation. Absolute phases possibly affect memory formation via influencing neural membrane potentials and thereby controlling the timing of neural firing.

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“…Moreover, successful remembering relies on the precise reinstatement of oscillatory encoding patterns, both in terms of topography and spectral composition (Manning et al 2011; Jafarpour et al 2014; Yaffe et al 2014; Waldhauser et al 2016). An additional determinant of successful memorization is the coordination of oscillatory activity between cortical regions (Weiss and Rappelsberger 2000; Fell et al 2001; Summerfield and Mangels 2005a, 2005b; Burke et al 2013; Watrous et al 2013; Höhne et al 2016). This approach has been extended to assess simultaneous electrophysiological interactions among large numbers of interconnected regions.…”

Section: Introductionmentioning

confidence: 99%

Distributed alpha networks underlie individual differences in memory performance

Cox

Schapiro

Stickgold

2016

Preprint

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Episodic memory, our ability to remember specific events, varies considerably across individuals. However, little is known about the neural basis of this variability. To address this issue, we investigated the role of distributed networks of oscillatory activity, as measured through electroencephalography (EEG). We observed that individual differences in alpha network structure reliably predict individual memory capacity. Specifically, individuals whose network profiles during encoding were most different from their resting state networks exhibited greatest subsequent memory performance, suggesting that optimal information processing requires substantial shifts in large-scale oscillatory organization. Furthermore, these results were not observed in circumscribed topographical regions or individual connections, indicating that distributed network approaches were more sensitive to functional processes than more conventional methods. These findings uncover a physiological correlate of individual differences in episodic memory and demonstrate the utility of multivariate EEG techniques to uncover brain-behavior correlates.

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Prediction of successful memory encoding based on single-trial rhinal and hippocampal phase information

Cited by 20 publications

References 29 publications

The role of meaning in visual memory: Face-selective brain activity predicts memory for ambiguous face stimuli

The role of meaning in visual memory: Face-selective brain activity predicts memory for ambiguous face stimuli

Prediction of memory formation based on absolute electroencephalographic phases in rhinal cortex and hippocampus outperforms prediction based on stimulus‐related phase shifts

Distributed alpha networks underlie individual differences in memory performance

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