Using Neuroimaging to Predict Behavior: An Overview with a Focus on the Moderating Role of Sociocultural Context

Tompson, Steven H.; Bassett, Danielle S.; Vettel, Jean M.

doi:10.1002/9781119485001.ch10

Cited by 5 publications

(5 citation statements)

References 91 publications

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“…Human interaction is essential for the development of natural cognition (Rogoff & Lave, 1984). This global set of conditions were termed as "lifelines" by Steven Rose (1997), we might even think of them as "lifestyles" (Lydon-Staley et al, 2019;Palacios-Garcia & Parada, 2019;Sarkar et al, 2018;Tompson et al, 2019). Hence, MoBI+4E scientists will have the task to model individual and group brain/body dynamics as they unfold throughout specific periods of Parada & Rossi MoBI scaffolds the 4E approach time (e.g.…”

Section: Discussionmentioning

confidence: 99%

Sincronía Perfecta: La Imagenología Cerebro/Corporal Móvil sostiene el programa de investigación basado en las 4E para el entendimiento de la Cognición (European Journal of Neuroscience, 2020)

Fj¹,

Rossi²

2021

Preprint

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TRADUCCIÓN por EILIS REARDON (Connecticut College - ereardon@conncoll.edu). Avances tecnológicos recientes englobados bajo de Mobila Brain/Body Imaging framework (Makeig et al., 2009), ha producido emocionantes nuevos resultados experimentales que vinculan el mente, el cerebro, y el comportamiento (Gramann et al., 2014; Ladouce et al., 2017; Shamay-Tsoory & Mendelsohn, 2019). El objetivo principal del enfoque de MoBI es modelar los dinámicas cerebral y corporal durante cada dia, natural, situaciones de la vida real. Sin embargo, a pesar de que se han realizado avances considerables tanto en hardware como en software (Blum et al., 2019; Debener et al., 2015; Ojeda et al., 2014), las condiciones técnicas y analiticas aun no son optimas (Gramann et al., 2014; Ladouce et al., 2017; Matusz et al., 2019; Parada, 2018). El enfoque MoBI esta basado en adjuntar sensores neuroconductuales sincronizados, pequeños, y livianos a los participantes y alrededor de ellos durante la configuración de estructuras, semiestructuradas y desestructuraciones medidas conductualmente (Gramann et al., 2014; Parada, 2018). Estos sensores aun tienen que volverse completamente discretos o transparentes (Bleichner & Debener, 2018; Debener et al., 2015). A pesar de un considerable vacío tecnico y analitico todavia existe, aquistucion de cerebro/cuerpo dinámicas durante situaciones de la vida real (e.g. Nann et al., 2019; Piñeyro Salvidegoitia et al., 2019; Rodríguez et al., 2018; Zink et al., 2016), asi como en virtual, modificado, y/o entornos de laboratorio extendidos ha tenido exito en muchos casos (e.g. Djebbara et al., 2019; Gramann et al., 2010; Jungnickel & Gramann, 2016; Soto et al., 2018).

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Section: Discussionmentioning

confidence: 99%

Sincronía Perfecta: La Imagenología Cerebro/Corporal Móvil sostiene el programa de investigación basado en las 4E para el entendimiento de la Cognición (European Journal of Neuroscience, 2020)

Fj¹,

Rossi²

2021

Preprint

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“…Additionally, recent neuroscience research has shown that non-invasive neural measurements made in the laboratory may be used to predict behavioral outcomes in the real world across a variety of tasks and diverse contexts (Tompson et al, 2019). This framework has been coined the brain-as-predictor approach (Berkman and Falk, 2013), and the promise of the approach has been shown in a variety of tasks, including second language acquisition (Tan et al, 2011), intelligence quotients (Choi et al, 2008), and high-risk driving behavior (Wasylyshyn et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Linking Emotional Reactivity Between Laboratory Tasks and Immersive Environments Using Behavior and Physiology

Roy

Wasylyshyn

Spangler

et al. 2019

Front. Hum. Neurosci.

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An event or experience can induce different emotional responses between individuals, including strong variability based on task parameters or environmental context. Physiological correlates of emotional reactivity, as well as related constructs of stress and anxiety, have been found across many physiological metrics, including heart rate and brain activity. However, the interdependances and interactions across contexts and between physiological systems are not well understood. Here, we recruited military and law enforcement to complete two experimental sessions across two different days. In the laboratory session, participants viewed high-arousal negative images while brain activity electroencephalogram (EEG) was recorded from the scalp, and functional connectivity was computed during the task and used as a predictor of emotional response during the other experimental session. In an immersive simulation session, participants performed a shoot-don’t-shoot scenario while heart rate electrocardiography (ECG) was recorded. Our analysis examined the relationship between the sessions, including behavioral responses (emotional intensity ratings, task performance, and self-report anxiety) and physiology from different modalities [brain connectivity and heart rate variability (HRV)]. Results replicated previous research and found that behavioral performance was modulated within-session based on varying levels of emotional intensity in the laboratory session ( t (24) = 4.062, p < 0.0005) and stress level in the simulation session ( Z = 2.45, corrected p -value = 0.0142). Both behavior and physiology demonstrated cross-session relationships. Behaviorally, higher intensity ratings in the laboratory was related to higher self-report anxiety in the immersive simulation during low-stress ( r = 0.465, N = 25, p = 0.019) and high-stress ( r = 0.400, N = 25, p = 0.047) conditions. Physiologically, brain connectivity in the theta band during the laboratory session significantly predicted low-frequency HRV in the simulation session ( p < 0.05); furthermore, a frontoparietal connection accounted for emotional intensity ratings during the attend laboratory condition ( r = 0.486, p = 0.011) and self-report anxiety after the high-stress simulation condition ( r = 0.389, p = 0.035). Interestingly, the predictive power of the brain activity occurred only for the conditions where participants had higher levels of emotional reactivity, stress, or anxiety. Taken together, our findings describe an integrated behavioral and physiological characterization of emotional reactivity.

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“…Individuals who can look at events from different angles develop insight as well as emotional awareness. [28][29][30][31][32] It can be said that the interactive group discussions implemented in the study had more of an effect on emotional awareness and the skills of expression after the group had engaged in conversation and discussions. It is reported in another study that nursing students developed mutual understanding and an improvement in their interpersonal relations as a result of the interactive discussions they had with their peers throughout the program that was implemented.…”

Section: Effectiveness Of the Interactive Activitymentioning

confidence: 97%

The impact of an emotion‐focused training program on nursing students' emotional awareness and expression: A randomized placebo‐controlled study

Şişman

Buzlu

2021

Perspect Psychiatric Care

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This study explores the effects of an emotion-focused training program (EFTP) and an interactive activity (placebo) on nursing students' skills in recognizing and expressing emotions.Design and Methods: The research was conducted as a randomized, placebo and control group, and experimental study with repeated measurements. One hundred and twenty nursing students were randomly assigned to the groups. The EFTP was carried out for 10 sessions in the study group. Findings:The emotional awareness and emotion expression scores of the students in the training group were significantly higher than those of the students in the placebo and control groups (p < 0.05).

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Using Neuroimaging to Predict Behavior: An Overview with a Focus on the Moderating Role of Sociocultural Context

Cited by 5 publications

References 91 publications

Sincronía Perfecta: La Imagenología Cerebro/Corporal Móvil sostiene el programa de investigación basado en las 4E para el entendimiento de la Cognición (European Journal of Neuroscience, 2020)

Sincronía Perfecta: La Imagenología Cerebro/Corporal Móvil sostiene el programa de investigación basado en las 4E para el entendimiento de la Cognición (European Journal of Neuroscience, 2020)

Linking Emotional Reactivity Between Laboratory Tasks and Immersive Environments Using Behavior and Physiology

The impact of an emotion‐focused training program on nursing students' emotional awareness and expression: A randomized placebo‐controlled study

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