scholarly journals Phasic arousal suppresses biases in mice and humans across domains of decision-making

2018 ◽  
Author(s):  
J. W. de Gee ◽  
K. Tsetsos ◽  
L. Schwabe ◽  
A.E. Urai ◽  
D. A. McCormick ◽  
...  
Keyword(s):  
Decision Making ◽  
Behavioral Effects ◽  
Evoked Responses ◽  
High Arousal ◽  
Decision Bias ◽  
Evidence Accumulation ◽  
Relevant Evidence ◽  
Sound Detection ◽  
The Impact ◽  
Over Time

Decisions are often made by accumulating ambiguous evidence over time. The brain’s arousal systems are activated during such decisions. In previous work in humans, we showed that evoked responses of arousal centers during decisions are reported by rapid dilations of the pupil, and predict a suppression of biases in the accumulation of decision-relevant evidence (de Gee et al. 2017). Here, we show that this arousal-related suppression in decision bias acts on both conservative and liberal biases, and generalizes across species (humans / mice), sensory systems (visual / auditory), and domains of decision-making (perceptual / memory-based). In challenging sound-detection tasks, the impact of spontaneous or experimentally induced choice biases was reduced under high arousal. Similar bias suppression occurred when evidence was drawn from memory. All these behavioral effects were explained by reduced evidence accumulation biases. Our results pinpoint a general principle of the interplay between phasic arousal and decision-making.

scholarly journals Pupil-linked phasic arousal predicts a reduction of choice bias across species and decision domains

eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Jan Willem de Gee ◽  
Konstantinos Tsetsos ◽  
Lars Schwabe ◽  
Anne E Urai ◽  
David McCormick ◽  
...  
Keyword(s):  
Decision Making ◽  
Behavioral Effects ◽  
Evoked Responses ◽  
Decision Bias ◽  
Evidence Accumulation ◽  
Relevant Evidence ◽  
Sound Detection ◽  
Choice Bias ◽  
The Impact ◽  
Over Time

Decisions are often made by accumulating ambiguous evidence over time. The brain’s arousal systems are activated during such decisions. In previous work in humans, we found that evoked responses of arousal systems during decisions are reported by rapid dilations of the pupil and track a suppression of biases in the accumulation of decision-relevant evidence (de Gee et al., 2017). Here, we show that this arousal-related suppression in decision bias acts on both conservative and liberal biases, and generalizes from humans to mice, and from perceptual to memory-based decisions. In challenging sound-detection tasks, the impact of spontaneous or experimentally induced choice biases was reduced under high phasic arousal. Similar bias suppression occurred when evidence was drawn from memory. All of these behavioral effects were explained by reduced evidence accumulation biases. Our results point to a general principle of interplay between phasic arousal and decision-making.

scholarly journals QOLP-03. MEASURING CHANGE IN HEALTH-RELATED QUALITY OF LIFE: THE ADDED VALUE OF ANALYSIS ON THE INDIVIDUAL PATIENT LEVEL IN GLIOMA PATIENTS IN CLINICAL DECISION MAKING

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi197-vi198 ◽  
Author(s):  
Marijke Coomans ◽  
Martin Taphoorn ◽  
Neil Aaronson ◽  
Brigitta Baumert ◽  
Martin van den Bent ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Scale Item ◽  
Individual Patient Level ◽  
Patient Level ◽  
Related Quality ◽  
The Individual ◽  
The Impact ◽  
Over Time

Abstract BACKGROUND: Health-related quality of life (HRQoL) is an important outcome in glioma research, reflecting the impact of disease and treatment on a patient’s functioning and wellbeing. Data on changes in HRQoL scores provide important information for clinical decision-making, but different analytical methods may lead to different interpretations of the impact of treatment on HRQoL. This study aimed to study whether different methods to evaluate change in HRQoL result in different interpretations. Methods: HRQoL and sociodemographical/clinical data from 15 randomized clinical trials were combined. Change in HRQoL scores was analyzed: (1)at the group level, comparing mean changes in scale/item scores between treatment arms over time, (2)at the patient level per scale/item by calculating the percentage of patients that deteriorated, improved or remained stable on a scale/item per scale/item, and (3)at the individual patient level combining all scales/items. Results: Data were available for 3727 patients. At the group scale/item level (method 1), only the item ‘hair loss’ showed a significant and clinically relevant change (i.e. ≥10 points) over time, whereas change scores on the other scales/items showed a statistically significant change only (all p< .001, range in change score:0.1–6.2). Analyses on the patient level per scale (method 2) indicated that, while a large proportion of patients had stable HRQoL over time (range:27–84%), many patients deteriorated (range:6–43%) or improved (range:8–32%) on a specific scale/item. At the individual patient level (method 3), the majority of patients (86%) showed both deterioration and improvement, while only 1% of the patients remained stable on all scales. Conclusion: Different analytical methods of changes in HRQoL result in distinct interpretations of treatment effects, all of which may be relevant for clinical decision-making. Additional information about the joint impact of treatment on all outcomes may help patients and physicians to make the best treatment decision.

scholarly journals Catecholamine Modulation of Evidence Accumulation during Perceptual Decision Formation: A Randomized Trial

2019 ◽  
Vol 31 (7) ◽  
pp. 1044-1053 ◽  
Author(s):  
Gerard M. Loughnane ◽  
Méadhbh B. Brosnan ◽  
Jessica J. M. Barnes ◽  
Angela Dean ◽  
Sanjay L. Nandam ◽  
...  
Keyword(s):  
Decision Making ◽  
Behavioral Effect ◽  
Oddball Paradigm ◽  
Perceptual Decision Making ◽  
Neural Basis ◽  
Perceptual Decision ◽  
Evidence Accumulation ◽  
Double Blinded ◽  
The Impact ◽  
Catecholamine Levels

Recent behavioral modeling and pupillometry studies suggest that neuromodulatory arousal systems play a role in regulating decision formation but neurophysiological support for these observations is lacking. We employed a randomized, double-blinded, placebo-controlled, crossover design to probe the impact of pharmacological enhancement of catecholamine levels on perceptual decision-making. Catecholamine levels were manipulated using the clinically relevant drugs methylphenidate and atomoxetine, and their effects were compared with those of citalopram and placebo. Participants performed a classic EEG oddball paradigm that elicits the P3b, a centro-parietal potential that has been shown to trace evidence accumulation, under each of the four drug conditions. We found that methylphenidate and atomoxetine administration shortened RTs to the oddball targets. The neural basis of this behavioral effect was an earlier P3b peak latency, driven specifically by an increase in its buildup rate without any change in its time of onset or peak amplitude. This study provides neurophysiological evidence for the catecholaminergic enhancement of a discrete aspect of human decision-making, that is, evidence accumulation. Our results also support theoretical accounts suggesting that catecholamines may enhance cognition via increases in neural gain.

scholarly journals Dissecting the impact of depression on decision-making

2019 ◽  
Vol 50 (10) ◽  
pp. 1613-1622 ◽  
Author(s):  
Victoria M. Lawlor ◽  
Christian A. Webb ◽  
Thomas V. Wiecki ◽  
Michael J. Frank ◽  
Madhukar Trivedi ◽  
...  
Keyword(s):  
Decision Making ◽  
Cognitive Deficits ◽  
Response Times ◽  
Major Depressive ◽  
Evidence Accumulation ◽  
Two Samples ◽  
Sensorimotor Deficit ◽  
The Impact ◽  
To Receive ◽  
Trial Participants

AbstractBackgroundCognitive deficits in depressed adults may reflect impaired decision-making. To investigate this possibility, we analyzed data from unmedicated adults with Major Depressive Disorder (MDD) and healthy controls as they performed a probabilistic reward task. The Hierarchical Drift Diffusion Model (HDDM) was used to quantify decision-making mechanisms recruited by the task, to determine if any such mechanism was disrupted by depression.MethodsData came from two samples (Study 1: 258 MDD, 36 controls; Study 2: 23 MDD, 25 controls). On each trial, participants indicated which of two similar stimuli was presented; correct identifications were rewarded. Quantile-probability plots and the HDDM quantified the impact of MDD on response times (RT), speed of evidence accumulation (drift rate), and the width of decision thresholds, among other parameters.ResultsRTs were more positively skewed in depressed v. healthy adults, and the HDDM revealed that drift rates were reduced—and decision thresholds were wider—in the MDD groups. This pattern suggests that depressed adults accumulated the evidence needed to make decisions more slowly than controls did.ConclusionsDepressed adults responded slower than controls in both studies, and poorer performance led the MDD group to receive fewer rewards than controls in Study 1. These results did not reflect a sensorimotor deficit but were instead due to sluggish evidence accumulation. Thus, slowed decision-making—not slowed perception or response execution—caused the performance deficit in MDD. If these results generalize to other tasks, they may help explain the broad cognitive deficits seen in depression.

scholarly journals OS7.2 Measuring change in health-related quality of life: the added value of analysis on the individual patient level in glioma patients in clinical decision making

2019 ◽  
Vol 21 (Supplement_3) ◽  
pp. iii14-iii14
Author(s):  
M Coomans ◽  
M J B Taphoorn ◽  
N Aaronson ◽  
B G Baumert ◽  
M van den Bent ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Scale Item ◽  
Individual Patient Level ◽  
Patient Level ◽  
Related Quality ◽  
The Individual ◽  
The Impact ◽  
Over Time

Abstract BACKGROUND Health-related quality of life (HRQoL) is often used as an outcome in glioma research, reflecting the impact of disease and treatment on a patient’s functioning and wellbeing. Data on changes in HRQoL scores may provide important information for clinical decision-making, but different analytical methods may lead to different interpretations of the impact of treatment on HRQoL. This study aimed to examine three different methods to evaluate change in HRQoL, and to study whether these methods result in different interpretations. MATERIAL AND METHODS HRQoL and sociodemographical/clinical data from 15 randomized clinical trials were combined. Change in HRQoL scores was analyzed in three ways: (1) at the group level, comparing mean changes in scale/item scores between treatment arms over time, (2) at the patient level per scale/item by calculating the percentage of patients that deteriorated, improved or remained stable on a scale/item per scale/item, and (3) at the individual patient level combining all scales/items. RESULTS Baseline and first follow-up HRQoL data were available for 3727 patients. At the group scale/item level (method 1), only the item ‘hair loss’ showed a significant and clinically relevant change (i.e. ≥10 points) over time, whereas change scores on the other scales/items showed a statistically significant change only (all p<.001, range in change score: 0.1–6.2). Analyses on the patient level per scale (method 2) indicated that, while a large proportion of patients had stable HRQoL over time (range 27–84%), many patients deteriorated (range: 6–43%) or improved (range: 8–32%) on a specific scale/item. At the individual patient level (method 3), the majority of patients (86%) showed both deterioration and improvement, while only 1% of the patients remained stable on all scales. Clustering on clinical characteristics (WHO performance status, sex, tumor type, type of resection, newly diagnosed versus recurrent tumor and age) did not identify subgroups of patients with a specific pattern of change in their HRQoL score. CONCLUSION Different analytical methods of changes in HRQoL result in distinct interpretations of treatment effects, all of which may be relevant for clinical decision-making. Additional information about the joint impact of treatment on all outcomes, showing that most patients experience both deterioration and improvement, may help patients and physicians to make the best treatment decision.

scholarly journals Strategy-dependent effects of working-memory limitations on human perceptual decision-making

2021 ◽  
Author(s):  
Kyra Schapiro ◽  
Kresimir Josic ◽  
Zachary Kilpatrick ◽  
Joshua I Gold
Keyword(s):  
Decision Making ◽  
Working Memory ◽  
Decision Variable ◽  
Perceptual Decision Making ◽  
Perceptual Decision ◽  
Human Psychophysics ◽  
Decision Variables ◽  
The Impact ◽  
The Brain ◽  
Over Time

Deliberative decisions based on an accumulation of evidence over time depend on working memory, and working memory has limitations, but how these limitations affect deliberative decision-making is not understood. We used human psychophysics to assess the impact of working-memory limitations on the fidelity of a continuous decision variable. Participants decided the average location of multiple visual targets. This computed, continuous decision variable degraded with time and capacity in a manner that depended critically on the strategy used to form the decision variable. This dependence reflected whether the decision variable was computed either: 1) immediately upon observing the evidence, and thus stored as a single value in memory; or 2) at the time of the report, and thus stored as multiple values in memory. These results provide important constraints on how the brain computes and maintains temporally dynamic decision variables.

scholarly journals Regulation of evidence accumulation by pupil-linked arousal processes

2018 ◽  
Author(s):  
Waitsang Keung ◽  
Todd A. Hagen ◽  
Robert C. Wilson
Keyword(s):  
Decision Making ◽  
Individual Differences ◽  
Large Body ◽  
Order Effects ◽  
Auditory Information ◽  
Perceptual Decision Making ◽  
Pupil Response ◽  
Evidence Accumulation ◽  
Integration Kernel ◽  
Over Time

AbstractIntegrating evidence over time is crucial for effective decision making. For simple perceptual decisions, a large body of work suggests that humans and animals are capable of integrating evidence over time fairly well, but that their performance is far from optimal. This suboptimality is thought to arise from a number of different sources including: (1) noise in sensory and motor systems, (2) unequal weighting of evidence over time, (3) order effects from previous trials and (4) irrational side biases for one choice over another. In this work we investigated these di.erent sources of suboptimality and how they are related to pupil dilation, a putative correlate of norepinephrine tone. In particular, we measured pupil response in humans making a series of decisions based on rapidly-presented auditory information in an evidence accumulation task. We found that people exhibited all four types of suboptimality, and that some of these suboptimalities covaried with each other across participants. Pupillometry showed that only noise and the uneven weighting of evidence over time, the ‘integration kernel’, were related to the change in pupil response during the stimulus. Moreover, these two different suboptimalities were related to different aspects of the pupil signal, with the individual differences in pupil response associated with individual differences in integration kernel, while trial-by-trial fluctuations in pupil response were associated with trial-by-trial fluctuations in noise. These results suggest that di.erent sources of suboptimality in human perceptual decision making are related to distinct pupil-linked processes possibly related to tonic and phasic norepinephrine activity.

Structure

2012 ◽  
pp. 213-248
Author(s):  
Gordon Boyce
Keyword(s):  
Decision Making ◽  
Internal Structure ◽  
Structural Dynamics ◽  
Vertical Integration ◽  
Administrative Structure ◽  
Management Structure ◽  
Personal Influence ◽  
The Impact ◽  
The Relationship ◽  
Over Time

This chapter examines the ownership of the Furness Group and the impact of closely-knit shipping companies on the group’s overall administrative structure. It uses Alfred Chandler’s patterns of expansion - vertical integration and horizontal combination - to provide an overview of the growth of large companies in both British and American markets, before turning attention to the structural dynamics of the Furness Group itself. It explores the patterns of internal ownership beginning with Christopher Furness’ holdings over time before moving into discussion of consolidation under the Furness Group, and through to the management of new subsidiaries. It also explores the company’s decision-making and administrative processes in the shipping sector between 1901 and 1912, and the course of administrative adjustment between 1900 and 1919. The relationship between the Furness Group, British Maritime Trust (BMT), and Chesapeake and Ohio (C&O) comes under close scrutiny throughout the chapter, and the management structure after Christopher Furness’ death in 1912 also comes under analysis. It concludes that much of the company was shaped by Furness’ personal influence and stature, so much so that his succession would undoubtedly necessitate change to its internal structure and a shift toward a more ‘businessman-like’ management.

Decision Making Regarding Prophylactic Mastectomy: Stability of Preferences and the Impact of Anticipated Feelings of Regret

2008 ◽  
Vol 26 (14) ◽  
pp. 2358-2363 ◽  
Author(s):  
Sandra van Dijk ◽  
Mariëlle S. van Roosmalen ◽  
Wilma Otten ◽  
Peep F.M. Stalmeier
Keyword(s):  
Breast Cancer ◽  
Decision Making ◽  
Risk Management ◽  
Prophylactic Mastectomy ◽  
Coping Process ◽  
The Future ◽  
Management Preferences ◽  
The Impact ◽  
Stability Of Preferences ◽  
Over Time

Purpose Women who test positive for a BRCA1/2 mutation face difficult choices to manage their breast cancer risk; one of these choices is whether to opt for prophylactic mastectomy. Few data are available about this decision-making process. The current study provides data regarding the stability of risk-management preferences over time and the factors that are associated with these preferences. Patients and Methods We analyzed data from 338 women who opted for breast cancer antigen (BRCA) testing. First, we prospectively assessed preferences of 80 BRCA mutation carriers at five different points in time ranging from 1 week after blood sampling up to 9 months after BRCA-test disclosure. Second, we applied univariate and multivariate regression analyses to examine which medical, sociodemographic, and psychological factors are related to a preference for prophylactic mastectomy. Results Ninety percent of the women already indicated a preference regarding risk management at baseline. Moreover, most women had stable preferences over time. Furthermore, anticipated feelings of regret in case of a hypothetical breast cancer diagnosis in the near future were strongly related to risk-management preference (odds ratio = 8.93; P < .0001). Conclusion Women seem to decide at a relatively early stage about their risk-management preferences. Many of them may be sensitive to the possibility of regret in case of a bad outcome. We discuss whether possible regret in the future is a rational reason for opting for prophylactic mastectomy, or whether it signifies an emotional coping process or strategy in which the future costs are no longer fully considered.

scholarly journals The impact of mobile technologies on new graduate nurses’ perceived self-efficacy and clinical decision making: A report from a longitudinal study in Western Canada

2017 ◽  
Vol 6 (6) ◽  
pp. 28
Author(s):  
Monique Sedgwick ◽  
Olu Awosoga ◽  
Lance Grigg
Keyword(s):  
Decision Making ◽  
Self Efficacy ◽  
Clinical Decision Making ◽  
Point Of Care ◽  
Clinical Decision ◽  
Mobile Technologies ◽  
Steady Increase ◽  
Pertinent Data ◽  
The Impact ◽  
Over Time

Healthcare environments require practitioners to competently and independently collect pertinent data, select appropriate key resources, prioritize information, solve problems, and make sound clinical decisions. The steady increase of health-related information implies a need for useful, practical Information and Communication Technology (ICT) tools that easily provide nurses’ access to accurate evidence-based information. The purpose of this study was to explore the impact of using mobile technologies at the point of care on new graduates’ perceived clinical decision making ability and associated level of self-efficacy over time. A longitudinal quasi-experimental pre-test/post-test design was used. A trend in the findings of this small study suggests that over time, using mobile technologies at the point of care did not enhance the participants’ perceived clinical decision making ability or self-efficacy in clinical decision making. Notwithstanding, the use of mobile technologies in the practice setting is wide spread. It, however, may be that the transition from student to graduate nurse is a significant enough event that seriously limits the useful influence of mobile devices and their associated applications on clinical decision making ability and self-efficacy.

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