Optimal digital filters for analyzing the mid-latency auditory P50 event-related potential in patients with Alzheimer’s disease

Liljander, Sara; Holm, Anu; Keski-Säntti, Petra; Partanen, Juhani

doi:10.1016/j.jneumeth.2016.03.013

Cited by 3 publications

(2 citation statements)

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“…Issues with differences in the baseline can be avoided by using stringent high-pass filtering, eliminating both the beat frequency and the longer latency portion of the auditory ERP (cf. Chang, Gavin, & Davies, 2012), but such filters have been shown to lead to significant distortions of the P1 waveform and can even shift low-frequency information from the N1 range into the P1 response (Liljander, Holm, Keski-Säntti, & Partanen, 2016;Tanner, Morgan-Short, & Luck, 2015). While filtering as such is not optimal to eliminate potential confounds in the baseline, here, for the attenuating effects of expectations on both P1 and N1, such a confound is unlikely.…”

Section: Discussionmentioning

confidence: 95%

Beat-based and Memory-based Temporal Expectations in Rhythm: Similar Perceptual Effects, Different Underlying Mechanisms

Bouwer

Honing

Slagter

2020

Journal of Cognitive Neuroscience

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Predicting the timing of incoming information allows the brain to optimize information processing in dynamic environments. Behaviorally, temporal expectations have been shown to facilitate processing of events at expected time points, such as sounds that coincide with the beat in musical rhythm. Yet, temporal expectations can develop based on different forms of structure in the environment, not just the regularity afforded by a musical beat. Little is still known about how different types of temporal expectations are neurally implemented and affect performance. Here, we orthogonally manipulated the periodicity and predictability of rhythmic sequences to examine the mechanisms underlying beat-based and memory-based temporal expectations, respectively. Behaviorally and using EEG, we looked at the effects of beat-based and memory-based expectations on auditory processing when rhythms were task-relevant or task-irrelevant. At expected time points, both beat-based and memory-based expectations facilitated target detection and led to attenuation of P1 and N1 responses, even when expectations were task-irrelevant (unattended). For beat-based expectations, we additionally found reduced target detection and enhanced N1 responses for events at unexpected time points (e.g., off-beat), regardless of the presence of memory-based expectations or task relevance. This latter finding supports the notion that periodicity selectively induces rhythmic fluctuations in neural excitability and furthermore indicates that, although beat-based and memory-based expectations may similarly affect auditory processing of expected events, their underlying neural mechanisms may be different.

show abstract

Section: Discussionmentioning

confidence: 95%

Beat-based and Memory-based Temporal Expectations in Rhythm: Similar Perceptual Effects, Different Underlying Mechanisms

Bouwer

Honing

Slagter

2020

Journal of Cognitive Neuroscience

View full text Add to dashboard Cite

show abstract

“…Issues with differences in the baseline can be avoided by using stringent high-pass filtering, eliminating both the beat frequency and the longer-latency portion of the auditory ERP (cf. Chang, Gavin, & Davies, 2012), but such filters have been shown to lead to significant distortions of the P1 waveform, and can even shift low-frequency information from the N1 range into the P1 response (Liljander, Holm, Keski-Säntti, & Partanen, 2016; Tanner, Morgan-Short, & Luck, 2015). While filtering as such is not optimal to eliminate potential confounds in the baseline, here, for the attenuating effects of expectations on both P1 and N1, such a confound is unlikely.…”

Section: Discussionmentioning

confidence: 99%

Beat-based and memory-based temporal expectations in rhythm: similar perceptual effects, different underlying mechanisms

Bouwer

Honing

Slagter

2019

Preprint

View full text Add to dashboard Cite

Predicting the timing of incoming information allows the brain to optimize information processing in dynamic environments. Behaviorally, temporal expectations have been shown to facilitate processing of events at expected time points, such as sounds that coincide with the beat in musical rhythm. Yet, temporal expectations can develop based on different forms of structure in the environment, not just the regularity afforded by a musical beat. Little is still known about how different types of temporal expectations are neurally implemented and affect performance. Here, we orthogonally manipulated the periodicity and predictability of rhythmic sequences to examine the mechanisms underlying beat-based and memory-based temporal expectations, respectively. Behaviorally and using EEG, we looked at the effects of beat-based and memory-based expectations on auditory processing when rhythms were task relevant or task irrelevant. At expected time points, both beat-based and memory-based expectations facilitated target detection and led to attenuation of P1 and N1 responses, even when expectations were task-irrelevant (unattended). For beat-based expectations, we additionally found reduced target detection and enhanced N1 responses for events at unexpected time points (e.g., off-beat), regardless of the presence of memory-based expectations or task relevance. This latter finding supports the notion that periodicity selectively induces rhythmic fluctuations in neural excitability and furthermore indicates that while beat-based and memory-based expectations may similarly affect auditory processing of expected events, their underlying neural mechanisms may be different.

show abstract

Auditory N100 gating in patients with schizophrenia: A systematic meta-analysis

Rosburg

2018

Clinical Neurophysiology

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Optimal digital filters for analyzing the mid-latency auditory P50 event-related potential in patients with Alzheimer’s disease

Abstract: Filtering broadband signals, such as ERP signals, necessary results in time-domain distortions. However, by adjusting the filter parameters carefully according to the components of interest, it is possible to minimize filter artifacts and obtain more easily interpretable ERP waveforms.

Cited by 3 publications

References 44 publications

Beat-based and Memory-based Temporal Expectations in Rhythm: Similar Perceptual Effects, Different Underlying Mechanisms

Beat-based and Memory-based Temporal Expectations in Rhythm: Similar Perceptual Effects, Different Underlying Mechanisms

Beat-based and memory-based temporal expectations in rhythm: similar perceptual effects, different underlying mechanisms

Auditory N100 gating in patients with schizophrenia: A systematic meta-analysis

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