Beta oscillations precede joint attention and correlate with mentalization in typical development and autism

Soto-Icaza, Patricia; Vargas, Lorena Silva; Aboitiz, Francisco; Billeke, Pablo

doi:10.1016/j.cortex.2018.12.018

Cited by 34 publications

(55 citation statements)

References 94 publications

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“…(first level analysis, see (Larrain-Valenzuela et al, 2017;Soto-Icaza et al, 2019;Billeke et al, 2014)).…”

Section: Discussionmentioning

confidence: 99%

“…Hence, our results demonstrate a specific electrophysiological mechanism underlying the WM deficit in Patients with Multiple Sclerosis. Several investigations have revealed that cerebral oscillatory activity supports different cognitive processes and have indexed their alteration in clinical populations (Soto-Icaza et al, 2019;Larrain-Valenzuela et al, 2017;Melloni et al, 2016;Billeke et al, 2015). Indeed, recent evidence indicates that increasing theta activity by means of transcranial Alternating Current Stimulation can improve WM performance in healthy and aging subjects (Reinhart and Nguyen, 2019;Alekseichuk et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

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Frontoparietal connectivity correlates with working memory performance in multiple sclerosis

Figueroa-Vargas

Cárcamo

Henríquez-Ch

et al. 2019

Preprint

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Multiple sclerosis is a chronic demyelinating disease of the central nervous system that provokes motor, cognitive and neuropsychiatric symptoms. Cognitive symptoms are a core feature of the disease, affecting everyday life functioning in 40 to 70% of patients. Working Memory impairment is one of the most common cognitive deficits, crucially affecting goaldirected behavior. However, evidence of the neurobiological mechanisms underlying these impairments is scarce. To address this issue, we investigated a working memory task concomitantly with electroencephalographic records in twenty patients with relapsingremitting multiple sclerosis who had minimal clinical cognitive alteration, and in twenty healthy control subjects. Participants first watched a memory set of two, four, or six consonants that had to be memorized and, after a black screen that was shown for two seconds, a target stimulus was displayed. We correlated both time-frequency and functional brain connectivity with memory load and behavioral performance. We found that patients and healthy controls presented similar accuracy rates. For high memory loads, patients demonstrated longer reaction times for incorrect responses when the probe was part of the memory set, revealing an increase in cognitive effort. We then evaluated the single trial correlation between the power of the oscillatory activity and the memory load. The healthy control group showed an increase of left frontal and parietal theta activity, while the patient group did not show this increase. The analysis of the successful memory performances demonstrated that controls presented a greater medial theta activity during the maintenance stage; whereas, the patient group showed a decrease in this activity. Interestingly, cortical connectivity analyses using Granger Causality revealed that healthy controls presented a load-modulated progression of the frontal-to-parietal connectivity that indicated successful memory performance, while the patients did not show this pattern. Consistently, phase-amplitude coupling analyses showed that this connectivity was carried out by frontal delta/theta phase to parietal gamma amplitude modulation. Frontalto-parietal connectivity correlated with working memory capacity in patients measure by Paced Auditory Serial Addition Test. These results indicate that patients with multiple sclerosis present alterations in their capacity to sustain oscillatory dynamics that maintain information in working memory. Thus, differences in brain oscillations and connectivity could be useful for early detection and to study working memory alterations in multiple sclerosis, as well as to implement new therapeutic interventions using non-invasive brain stimulation.

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“…(first level analysis, see (Larrain-Valenzuela et al, 2017;Soto-Icaza et al, 2019;Billeke et al, 2014)).…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Frontoparietal connectivity correlates with working memory performance in multiple sclerosis

Figueroa-Vargas

Cárcamo

Henríquez-Ch

et al. 2019

Preprint

Self Cite

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“…Joint attention precedes the development of children mentalization skills [23]. Mentalization is the ability to understand the mental state, of oneself or others, that underlies evident behavior.…”

Section: Application Of the Iot Framework For Brain-robot Control Methodsmentioning

confidence: 99%

“…Mentalization is the ability to understand the mental state, of oneself or others, that underlies evident behavior. Brain activity patterns in time and frequency domains correlated with JA are discussed in many papers [23], [24] and [25]. According to studies [25] and [26] the oscillatory brain activity in the alpha and beta ranges in the right temporoparietal region correlates with the anticipation and prediction of another person's responses and preferences.…”

Section: Application Of the Iot Framework For Brain-robot Control Methodsmentioning

confidence: 99%

“…According to studies [25] and [26] the oscillatory brain activity in the alpha and beta ranges in the right temporoparietal region correlates with the anticipation and prediction of another person's responses and preferences. Authors in [23] have tested whether neuronal activity preceding JA correlates with mentalization in typically developing (TD) children and whether this activity is impaired in children with autistic spectrum disorder (ASD) who evidence deficits in JA and mentalization skills. TD children shown beta rhythm (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25) in the temporoparietal region preceding the JA behavior, while ASD children did not show an increase in beta activity.…”

Section: Application Of the Iot Framework For Brain-robot Control Methodsmentioning

confidence: 99%

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Brain-inspired IoT Controlled Walking Robot – Big-Foot

Lekova¹,

Chavdarov²,

Naydenov³

et al. 2019

Adv. sci. technol. eng. syst. j.

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This work presents the development of an original idea for a walking robot with a minimum number of motors, simple construction and a control system based on the brain bioelectrical activities. Described are geometric and kinematic dependencies related to the robot movement, as well as brain-inspired IoT control method. Various aspects are discussed for improving the robot's qualities, concerning the shape of the robot's feet and base in order to overcome various obstacles and maintain the static mechanical equilibrium. Improvements in the mechanical design are provided to improve reliability and enhance the scope of robot's applications. A new IoT framework for creating Human-robot interaction applications based on Node-RED "wiring" of Emotiv Brain Computer Interface (BCI) and Arduino based robot is designed, developed and tested. An educational application how to train the joint attention of children by a mind control method based on neurofeedback from beta oscillation in the right temporoparietal region is illustrated in a Node-RED flow. The neurofeedback is exposed on the walking robot.

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Altered Connectivity During a False-Belief Task in Adults With Autism Spectrum Disorder

Yuk

Anagnostou

Taylor

2020

Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

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Beta oscillations precede joint attention and correlate with mentalization in typical development and autism

Cited by 34 publications

References 94 publications

Frontoparietal connectivity correlates with working memory performance in multiple sclerosis

Frontoparietal connectivity correlates with working memory performance in multiple sclerosis

Brain-inspired IoT Controlled Walking Robot – Big-Foot

Altered Connectivity During a False-Belief Task in Adults With Autism Spectrum Disorder

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