Adolescent cognitive control, theta oscillations, and social observation

Buzzell, George A.; Barker, Tyson V.; Troller‐Renfree, Sonya V.; Bernat, Edward M.; Bowers, Maureen E.; Morales, Santiago; Bowman, Lindsay C.; Henderson, Heather A.; Pine, Daniel S.

doi:10.1016/j.neuroimage.2019.04.077

Cited by 42 publications

(49 citation statements)

References 79 publications

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“…Paired t-tests revealed that right and left lateralized cue-locked and stimulus-locked ICPS did not differ based on condition (p’s > 0.1). Thus, right and left theta ICPS were averaged within each condition to create a measure of medial-lateral theta ICPS ( Buzzell et al, 2019 ).…”

Section: Methodsmentioning

confidence: 99%

“…While most studies examining the development of cognitive control have focused on fMRI, electroencephalogram (EEG) can measure theta oscillations (4−8 Hz), which are widely implicated in cognitive control processes in adults ( Cavanagh and Frank, 2014 ; Cavanagh et al, 2012 ; Cohen and Donner, 2013 ; Nigbur et al, 2012 ; van Driel et al, 2015 ) and have only recently begun to be investigated in adolescence ( Bowers et al, 2018 ; Buzzell et al, 2019 ; Crowley et al, 2014 ; Liu et al, 2014 ). Theta oscillations can index both proactive and reactive control processes by measuring theta activity to informative cues that allow for proactive control or to non-cued stimuli that engage reactive control.…”

Section: Introductionmentioning

confidence: 99%

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The influence of monetary reward on proactive and reactive control in adolescent males

Bowers

Morales

Buzzell

2021

Developmental Cognitive Neuroscience

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Highlights Reward reduced RT interference during reactive control, but increased RT interference during proactive control in male adolescents. Increased reward-related cue-locked theta power was associated with increased RT interference on proactive trials. Increased reward-related stimulus-locked theta inter-channel phase synchrony was related to facilitated performance on proactive trials.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The influence of monetary reward on proactive and reactive control in adolescent males

Bowers

Morales

Buzzell

2021

Developmental Cognitive Neuroscience

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“…The brain activity is recorded as the electroencephalogram (EEG) for brain-related research (e.g., emotion changes, stress-related studies [ 52 ] or consciousness studies for anesthesia, etc.). The four bands of the EEG signal are alpha (8−13 Hz) which indicates the sign of calmness and balanced state of mind; beta (13−30 Hz), which is related to emotional and cognitive processes which correlates to stress; delta (0.1−4 Hz) which is associated with deep sleep stages (e.g., high brain activity in this range are being viewed as a sign of unconsciousness) and theta (4−8 Hz) that generates the theta rhythm which is a neural oscillation in the brain that is linked to interpretation of cognition [ 53 ] and behavior such as learning, memory and spatial navigation.…”

Section: Assessment For Pain and Stressmentioning

confidence: 99%

Pain and Stress Detection Using Wearable Sensors and Devices—A Review

Chen

Abbod

Shieh

2021

Sensors

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Pain is a subjective feeling; it is a sensation that every human being must have experienced all their life. Yet, its mechanism and the way to immune to it is still a question to be answered. This review presents the mechanism and correlation of pain and stress, their assessment and detection approach with medical devices and wearable sensors. Various physiological signals (i.e., heart activity, brain activity, muscle activity, electrodermal activity, respiratory, blood volume pulse, skin temperature) and behavioral signals are organized for wearables sensors detection. By reviewing the wearable sensors used in the healthcare domain, we hope to find a way for wearable healthcare-monitoring system to be applied on pain and stress detection. Since pain leads to multiple consequences or symptoms such as muscle tension and depression that are stress related, there is a chance to find a new approach for chronic pain detection using daily life sensors or devices. Then by integrating modern computing techniques, there is a chance to handle pain and stress management issue.

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“…In addition to social communication deficits, a core symptom domain of autism spectrum disorder (ASD; (3), a substantial body of work associates ASD with deficits in cognitive control (4 9). Work in typically developing (TD) children (10), adolescents (11), and adults (12) links cognitive control to a particular pattern of task-related brain oscillations within the theta band (~4-7 Hz). However, the study of such brain oscillations and their link to cognitive control in children remains limited.…”

Section: Introductionmentioning

confidence: 99%

“…In particular, it remains unclear as to whether task-related mediofrontal theta oscillations are disrupted in young children with ASD. Mediofrontal theta is increased during tasks requiring cognitive control, as well as in response to events signaling a need for control, including error commission (10,11,28).…”

Section: Introductionmentioning

confidence: 99%

Atypical mediofrontal theta oscillations underlying cognitive control in kindergarteners with autism spectrum disorder

Buzzell

Thomas

Choi

et al. 2020

Preprint

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BackgroundChildren with autism spectrum disorder (ASD) often exhibit deficits in cognitive control. Neuroimaging approaches have implicated disruptions to medio-frontal cortex (MFC) structure and function. However, prior work has not directly tested whether young children with ASD exhibit disruptions to task-related theta oscillations thought to arise from the MFC.MethodsForty-three children with ASD and 24 age- and gender-matched typically developing (TD) peers performed a child-friendly Go/No-go task while 64-channel electroencephalography (EEG) was recorded at kindergarten-entry. Time-frequency approaches were employed to assess the magnitude of mediofrontal theta oscillations immediately following error (vs. correct) responses (“early theta”), as well as later emerging theta oscillations (“late theta”). We tested whether error-related mediofrontal theta oscillations differed as a function of diagnosis (ASD/typical) and timing (early/late theta). Additionally, links to social and academic outcomes were tested.ResultsOverall, children showed increased theta power following error vs. correct responses. Compared to TD children, children with ASD exhibited a selective reduction in error-related mediofrontal theta power during the late theta time window. There were no significant group differences for early theta power. Moreover, reduced error-related theta power during the late, but not early, time window significantly predicted poorer academic and social skills.ConclusionsKindergarteners with ASD demonstrated a selective reduction in error-related mediofrontal theta power during a relatively late time window, which is consistent with impairments in specific cognitive processes that recruit top-down control. Targeting these particular cognitive control processes via intervention prior to school-entry may promote more successful functional outcomes for children with ASD.

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Adolescent cognitive control, theta oscillations, and social observation

Cited by 42 publications

References 79 publications

The influence of monetary reward on proactive and reactive control in adolescent males

The influence of monetary reward on proactive and reactive control in adolescent males

Pain and Stress Detection Using Wearable Sensors and Devices—A Review

Atypical mediofrontal theta oscillations underlying cognitive control in kindergarteners with autism spectrum disorder

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