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Dissertation Source Tags
  • #Misophonia
  • EEG
  • EEG analysis
  • Alpha band
  • generalized learning
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Dv Comment
  • i have always found this suspect, because while it could explain the expanding of triggers, it does not explain why the first trigger form. and specifically, why  do the first trigger that form tend to be the same kinds of orofacial sounds
  • > “omplementing this notion, Kumar et al. (2021) theorized that other non-orofacial sounds may come to elicit adverse emotional reactions in individuals with Misophonia via associative learning, in which both an initial “trigger” cue is presented with a non-associated cue (”
Dv Data Tags #Data/reading-notes
Dv Initial Source Misophonia MOC
Dv Status #status/reviewed
Dv Limitations • the preliminary nature of the evolving sample. • limited sample size. • limited power to detect c-varying other personality traits (i. e neuroticism). • average scores on MSS below 9.55, below the recommended threshold meaning that majority of sample were not misophonic. •measurement of miso restricted to MSS, questionable validity and limited features compared to things like the duke scale.
Dv Future Directions • indices of other physiological processes involved in classical conditioning might indicate generalization where this study failed to do so. • all-or-nothing may work for simple tones, but future research needs to look at more naturalistic auditory cues.
Dv Relevance • a good example of EEG used on misophonia, particularly for looking at generalized learning via alpha-band power reduction • they found more pronounced reductions in parieto-occipital EEG alpha band power for self reported Misophonics. this could be a good place to start as a EEG target for the dissertation project
Dv Key Term > “Generalization learning is an extension of simple differential aversive conditioning that allows for the assessment of how generalizable a conditioned response is to stimuli that are similar to a CS+ (Dunsmoor and Paz, 2015; Dymond et al., 2015; Struyf et al., 2015; Jasnow et al., 2017). In this process, a neutral stimulus is paired with a US, creating a CS+. In addition, other stimuli varying in physical similarity along a continuum (e.g., some closely resembling the CS+, while others may appear completely different) are presented but never paired with a US.”
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The Relationship Between Self-Reported Misophonia Symptoms and Auditory Aversive Generalization Leaning: A Preliminary Report

Status:: #status/reviewed


Metadata


Abstract

Misophonia is characterized by excessive aversive reactions to specific “trigger” sounds. Although this disorder is increasingly recognized in the literature, its etiological mechanisms and maintaining factors are currently unclear. Several etiological models propose a role of Pavlovian conditioning, an associative learning process heavily researched in similar fear and anxiety-related disorders. In addition, generalization of learned associations has been noted as a potential causal or contributory factor. Building upon this framework, we hypothesized that Misophonia symptoms arise as a consequence of overgeneralized associative learning, in which aversive responses to a noxious event also occur in response to similar events. Alternatively, heightened discrimination between conditioned threat and safety cues may be present in participants high in Misophonia symptoms, as predicted by associative learning models of Misophonia. This preliminary report (n = 34) examines auditory generalization learning using self-reported behavioral (i.e., valence and arousal ratings) and EEG alpha power reduction. Participants listened to three sine tones differing in pitch, with one pitch (i.e., CS+) paired with an aversive loud white noise blast, prompting aversive Pavlovian generalization learning. We assessed the extent to which overgeneralization versus heightened discrimination learning is associated with self-reported Misophonia symptoms, by comparing aversive responses to the CS+ and other tones similar in pitch. Behaviorally, all participants learned the contingencies between CS+ and noxious noise, with individuals endorsing elevated Misophonia showing heightened aversive sensitivity to all stimuli, regardless of conditioning and independent of hyperacusis status. Across participants, parieto-occipital EEG alpha-band power reduction was most pronounced in response to the CS+ tone, and this difference was greater in those with self-reported Misophonia symptoms. The current preliminary findings do not support the notion that overgeneralization is a feature of self-reported emotional experience in Misophonia, but that heightened sensitivity and discrimination learning may be present at the neural level.


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Article Review table

Background/Purpose Background-
• many theories of misophonia suggest role of classical conditioning and generalized learning
• although past work has looked at both autonomic and neural responses to naturalistic auditory stim on Misophonics, there has not been any work into how aversive learning contributes to sounds becoming triggers.
• it is unknown if Misophonics show overgeneralized responses similar to those seen in fear/anxiety disorders

Purpose-

• see the extent to which auditory sinewave tone paired with a US (i. e CS+) influenced ratings/EEG indices of attentional processing compared to other GS along a generalization continuum.
• test the hypothesis that misophonia symptoms are the result of overgeneralized associative learning for aversive responses.
• assess the presence of heightened discrimination of threat and safety cues for Misophonics, as predicted by associative learning models of misophonia.
• assess the mechanisms underlying aversive generalized learning in Misophonics

Participants/samples • 34 adults' recruited online and paid 20% per hour or class credit.
• 21 Female
• mean age = 19.85 m SE age = 0.29
Measures measures-
• Misophonia symptom scale (MSS) (subscale of MQ)
• Misophonia Questionnaire (MQ)
• scales for OCD, fear, anxiety, and depression spectrum.
• Self- Assessment Manikin Measures- (SAM) (Fig 2 A, 2 B)
• loudness discomfort level testing (LDL)
• changes in parietal alpha-band power (EEG)

Procedures • Auditory aversive generalization task.
• Three sine-wave tones:
• 320 Hz (CS+; paired with white noise US).
• 541 Hz (GS1).
• 914 Hz (GS2).
• Habituation phase (no US).
• Acquisition phase (CS+ paired 100% with loud white noise).
• 240 total trials.
• SAM ratings collected early and late in each phase.
• EEG recorded throughout.
Results • the CS+ elicited strongest negative and arousing ratings from self reports primarily in acquisition phase.
• found evidence that Misophonia symptoms are associated with stronger negative/arousing ratings for sine-wave tones regardless of pitch or the phase (habituation/acquisition) presented
• MSS scores showed strong positive correlation with all-or-nothing learning pattern at P-O alpha locations, indicating more pronounced disciminate learning, though found no evidence of generalization learning
• found alpha-band power reduction had pronounced activity pattern best fit by all-or-nothing learning modal across all subjects at predicted parieto-occipital.

Behavioral conditioning
• CS+ rated more negative and more arousing than GS1 and GS2. • GS1 and GS2 did not differ. • Effects present during acquisition, not habituation.

MSS effects (behavioral)
• Higher MSS associated with more negative valence ratings across all stimuli and phases.
• Higher MSS associated with greater arousal ratings across all stimuli and phases. • No MSS × Pitch interactions. • No evidence of behavioral overgeneralization. • LDL covariate: • Not significant for valence. • Significant for arousal.

Learning model fits (behavioral)
• All-or-nothing model best fit valence and arousal data.• Effect driven by acquisition phase.• MSS did not predict model fit strength.
Alpha-band power
• Tone onset produced parieto-occipital alpha power reduction.• Greater alpha reduction for CS+ during acquisition. • Alpha change scores consistent with all-or-nothing discrimination.• Neural discrimination stronger in individuals with higher MSS. • No evidence of neural overgeneralization. • Findings suggest enhanced discrimination (sharpened tuning at neural level).
Discussion/Limits Conclusion-

• found alpha-band power reduction had pronounced activity pattern best fit by all-or-nothing learning modal across all subjects at predicted parieto-occipital.
• found the most support for the all-or-nothing discrimination learning model, and very little evidence for the other two models
• The authors conclude that self-reported misophonia symptoms are not characterized by behavioral overgeneralization.
• The data support enhanced discrimination learning at the neural level in individuals with higher misophonia symptoms.
• The authors conclude that misophonia may involve heightened sensitivity and attentional engagement to conditioned threat cues.
• The findings indicate dissociation between behavioral self-report and neural indices.
• The data support associative learning frameworks but do not support overgeneralization accounts

Limitations:: • the preliminary nature of the evolving sample.
• limited sample size.
• limited power to detect c-varying other personality traits (i. e neuroticism).
• average scores on MSS below 9.55, below the recommended threshold meaning that majority of sample were not misophonic.
•measurement of miso restricted to MSS, questionable validity and limited features compared to things like the duke scale.
Future Directions:: • indices of other physiological processes involved in classical conditioning might indicate generalization where this study failed to do so.
• all-or-nothing may work for simple tones, but future research needs to look at more naturalistic auditory cues.
Relevance:: • a good example of EEG used on misophonia, particularly for looking at generalized learning via alpha-band power reduction
• they found more pronounced reductions in parieto-occipital EEG alpha band power for self reported Misophonics. this could be a good place to start as a EEG target for the dissertation project
Statistics:: • MSS range 0–20; M = 9.55.
• Valence: Pitch effect; Phase effect; Pitch × Phase interaction; MSS main effect; LDL NS.
• Arousal: Pitch effect; Phase effect; Pitch × Phase interaction; MSS main effect; LDL significant.
• Model fits (valence): Model effect; Phase effect; Model × Phase; MSS NS.
• Model fits (arousal): Model effect; Phase effect; Model × Phase; MSS NS.
• Alpha power: Pitch effect (acquisition–habituation difference).
• Behavioral data best fit by all-or-nothing model.
• MSS correlated with overall valence and arousal; not with model type.

Notes

key terms and concepts:

my questions

my comments

misc. notes

limits: -

all-or-nothing learning-
learning where subject respond selectively to CS+ but do not differentially respond to generalization stim despite their similar physical characteristics.
learning of this pattern effectively identify and differentiate stim based on specific attributes from other stim with similar properties.

methods goals, and hyps

Hyps-
• (H1: ) predicted Misophonics would rate CS+ tone as more aversive/ arousing + EEG signals reflecting more attentional processing for CS+ vs the non-CS + tones during acquisition regardless of individual misophonia severity.
• (H2: ) expected larger change in depend variables b/w habituation/acquisition phases for the CS+ CS other GS used.
• (H3A: ) subjects endorsing greater misophonia symptoms (score on MSS) would show overgeneralized responses across stim gradient (Fig 1 A)
• (H3B:) alt hype that a sharpened tuning response pattern ( Fig 1 B) across DV for subjects with higher MSS scores, indicating suppression of the most similar GS resulting in sharpening in sensory systems
• (H3C:) all or nothing discrimination learning model (fig 1 C). the CS+ on it's own would elicit heightened responses in DV with little/no diff in response to other GS. '
• (H4:) subjects with stronger miso symptoms exhibit larger responses change scores for the CS+ from the habituation to acquisition phases compared to subjects with less misophonic symptoms. [would suggest Misophonics more likely to have adverse/arousing reactions and greater attentional processing to auditory stim that have acquired adverse attributes. ]

etiology of trigger cues

misc. info
Dozier model
generalized learning model

EEG data

misc. info

Figures

../../../attachments/Pasted image 20221001120344.png
FIGURE 1 | Hypothesized learning model response patterns. (A) Generalization, with the GS1 eliciting a greater response than the GS2. (B) Sharpening, in which GS1 has a decreased response compared to the GS2. (C) All-or-Nothing, where the GS 1 and GS 2 display similarly decreased responses relative to the CS+.

../../../attachments/Pasted image 20221001121604.png
FIGURE 2 | Self-Assessment Manikin (SAM) presented to during the early and late stages of both the habituation and acquisition phases in the auditory aversive generalization task. (A) Measures of valence quantified by pixel number (i.e., 1–1,920) corresponding with participants’ mouse click on an x-axis of the monitor’s length. (B) Measures of arousal were similarly represented by pixel number corresponding with participants’ mouse clicks.

../../../attachments/Pasted image 20221001121744.png
FIGURE 3 | Trial flow of the auditory aversive generalization task. (A) The habituation phase presented a tone (each pitch) without any white noise US pairings. (B) The acquisition phase presented a tone (each pitch) with the lowest pitch being paired with the white noise US.

Measures Miso MeasuresLDL'sHabituation pahse trial after Trial 10 and trial 90Acquisition phase1st and 3rd trials = booster trials

contextual statement

In a 2022 study, Ward attempted to determine whether self-reported Misophonia symptoms are associated with auditory aversive generalization learning by conditioning 34 undergraduate participants to a CS+ tone paired with white noise and comparing behavioral (valence/arousal) and EEG parietal alpha-band power responses across CS+ and generalization stimuli, using the Misophonia Symptom Scale to quantify symptom severity.

summary statement

In a 2022 study, Ward et al. examined whether Misophonia symptoms relate to overgeneralized versus discriminative aversive learning by pairing one of three sine-wave tone pitches with a loud noise US and measuring self-reported valence/arousal and parietal alpha-band power across habituation and acquisition phases. They found that an all-or-nothing discrimination model best fit both behavioral and alpha-power data overall, and that higher MSS scores were associated with more pronounced all-or-nothing discrimination learning in alpha-band power, while affective ratings (valence/arousal) were elevated with MSS regardless of conditioning. From this they concluded that Misophonia is not characterized by overgeneralized aversive learning, but instead may involve heightened discrimination and general aversive/defensive sensitivity to auditory stimuli.

Zettlekasten

Ward 2022 findings of heighted sensitivity to conditioned cues and enhanced discrimination learning in Misophonia