A Review on Emotion-Enhanced Recognition Memory: Response Bias and Context Caused by Emotional Stimuli

The current study aims to present the main lines of the topic by compiling the literature on the effect of emotion on recognition memory and address some considerations for future studies by highlighting the attention-grabbing points related to emotion-memory interaction. A growing body of literature has demonstrated that emotional stimuli are better remembered than their neutral equivalents. Based on these common findings, research in the relevant literature is reviewed in detail regarding various approaches that define and explain emotion; and the effect of emotional dimensions, which are defined within the framework of different approaches, on recognition memory is mentioned. Empirical studies are also reviewed by including the findings on the response biases that emotion might cause. On the other hand, the factor affecting memory performance is not solely due to emotional stimuli' dimensions. Instead, memory performance might be positively affected by the context of emotional stimuli. Additionally, how emotional memory is studied in a controlled laboratory setting is discussed. Within this context, emotional databases developed to investigate emotion-memory interaction and databases designed for research to be carried out in Turkey are discussed. To sum up, within the scope of the current review, it is concluded that future studies on emotion and recognition memory interaction should take response bias caused by emotion, emotional context, and type of emotional stimuli into account to reach more consistent results. Keywords: Emotion, recognition memory, response bias, context, databases

Combining patient reported outcomes and EHR data to understand population level treatment needs: correcting for selection bias in the migraine signature study

Background Electronic health records (EHR) data can be used to understand population level quality of care especially when supplemented with patient reported data. However, survey non-response can result in biased population estimates. As a case study, we demonstrate that EHR and survey data can be combined to estimate primary care population prescription treatment status for migraine stratified by migraine disability, without and with adjustment for survey non-response bias. We selected disability as it is associated with survey participation and patterns of prescribing for migraine. Methods A stratified random sample of Sutter Health adult primary care (PC) patients completed a digital survey about headache, migraine, and migraine related disability. The survey data from respondents with migraine were combined with their EHR data to estimate the proportion who had prescription orders for acute or preventive migraine treatments. Separate proportions were also estimated for those with mild disability (denoted “mild migraine”) versus moderate to severe disability (denoted mod-severe migraine) without and with correction, using the inverse propensity weighting method, for non-response bias. We hypothesized that correction for non-response bias would result in smaller differences in proportions who had a treatment order by migraine disability status. Results The response rate among 28,268 patients was 8.2%. Among survey respondents, 37.2% had an acute treatment order and 16.8% had a preventive treatment order. The response bias corrected proportions were 26.2% and 11.6%, respectively, and these estimates did not differ from the total source population estimates (i.e., 26.4% for acute treatments, 12.0% for preventive treatments), validating the correction method. Acute treatment orders proportions were 32.3% for mild migraine versus 37.3% for mod-severe migraine and preventive treatment order proportions were 12.0% for mild migraine and 17.7% for mod-severe migraine. The response bias corrected proportions for acute treatments were 24.8% for mild migraine and 26.6% for mod-severe migraine and the proportions for preventive treatment were 8.1% for mild migraine and 12.0% for mod-severe migraine. Conclusions In this study, we combined survey data with EHR data to better understand treatment needs among patients diagnosed with migraine. Migraine-related disability is directly related to preventive treatment orders but less so for acute treatments. Estimates of treatment status by self-reported disability status were substantially over-estimated among those with moderate to severe migraine-related disability without correction for non-response bias.

A Narrative Literature Review of Bias in Collecting Patient Reported Outcomes Measures (PROMs)

There is a growing interest in the collection and use of patient reported outcomes because they not only provide clinicians with crucial information, but can also be used for economic evaluation and enable public health decisions. During the collection phase of PROMs, there are several factors that can potentially bias the analysis of PROM data. It is crucial that the collected data are reliable and comparable. The aim of this paper was to analyze the type of bias that have already been taken into consideration in the literature. A literature review was conducted by the authors searching on PubMed database, after the selection process, 24 studies were included in this review, mostly regarding orthopedics. Seven types of bias were identified: Non-response bias, collection method related bias, fatigue bias, timing bias, language bias, proxy response bias, and recall bias. Regarding fatigue bias and timing bias, only one study was found; for non-response bias, collection mode related bias, and recall bias, no agreement was found between studies. For these reasons, further research on this subject is needed in order to assess each bias type in relation to each medical specialty, and therefore find correction methods for reliable and comparable data for analysis.

Pupillary evidence reveals the influence of positive thoughts on brightness perception

Our visual experience often varies based on momentary thoughts and feelings. For example,when positive thoughts are invoked, visual objects may appear brighter. However, it remainsunclear whether this phenomenological experience is driven by a genuine top-down modulation of brightness perception or by a mere response bias. To investigate this issue, here we use pupillometry as a more objective measure of perceived brightness. We asked participants to judge the brightness level of an iso-luminant gray color patch after evaluating the valence of a positive or negative word. We found that the gray color patch elicited greater pupillary light reflex and more frequent “bright” responses after observers had evaluated the valence of a positive word. As pupillary light reflex is unlikely driven by voluntary control or response bias, these results suggest that positive concepts can genuinely modulate brightness perception.