Auditory-vocal control system is object for predictive processing within seconds time range

Korzyukov, Oleg; Lee, Yunseon; Bronder, Alexander; Wagner, Michael; Gumenyuk, Valentina; Larson, Charles R.; Hammer, Michael J.

doi:10.1016/j.brainres.2020.146703

Cited by 2 publications

(1 citation statement)

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“…The second step was performed through Topographic Analysis of Variance (TANOVA 48,52–54 ;). TANOVA evaluates, for which sample points significant differences in map topography between groups can be observed.…”

Section: Methodsmentioning

confidence: 99%

Deficiency in Re-Orienting of Attention in Adults with Attention-Deficit Hyperactivity Disorder

Gumenyuk¹,

Korzyukov

Tapaskar

et al. 2022

Clin EEG Neurosci

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Objective: To characterize potential brain indexes of attention deficit hyperactivity disorder (ADHD) in adults. Methods: In an effort to develop objective, laboratory-based tests that can help to establish ADHD diagnosis, the brain indexes of distractibility was investigated in a group of adults. We used event-related brain potentials (ERPs) and performance measures in a forced-choice visual task. Results: Behaviorally aberrant distractibility in the ADHD group was significantly higher. Across three ERP components of distraction: N1 enhancement, P300 (P3a), and Reorienting Negativity (RON) the significant difference between ADHD and matched controls was found in the amplitude of the RON. We used non-parametric randomization tests, enabling us to statistically validated this difference between-group. Conclusions: Our main results of this feasibility study suggest that among other ERP components associated with auditory distraction, the RON response is promising index for a potential biomarker of deficient re-orienting of attention in adults s with ADHD.

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Section: Methodsmentioning

confidence: 99%

Deficiency in Re-Orienting of Attention in Adults with Attention-Deficit Hyperactivity Disorder

Gumenyuk¹,

Korzyukov

Tapaskar

et al. 2022

Clin EEG Neurosci

Self Cite

View full text Add to dashboard Cite

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From Information to Knowledge: A Role for Knowledge Networks in Decision Making and Action Selection

Kanwal

2024

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The brain receives information via sensory inputs through the peripheral nervous system and stores a small subset as memories within the central nervous system. Short-term, working memory is present in the hippocampus whereas long-term memories are distributed within neural networks throughout the brain. Elegant studies on the mechanisms for memory storage and the neuroeconomic formulation of human decision making have been recognized with Nobel Prizes in Physiology or Medicine and in Economics, respectively. There is a wide gap, however, in our understanding of how memories of disparate bits of information translate into “knowledge”, and the neural mechanisms by which knowledge is used to make decisions. I propose that the conceptualization of a “knowledge network” for the creation, storage and recall of knowledge is critical to start bridging this gap. Knowledge creation involves value-driven contextualization of memories through cross-validation via certainty-seeking behaviors, including rumination or reflection. Knowledge recall, like memory, may occur via oscillatory activity that dynamically links multiple networks. These networks may show correlated activity and interactivity despite their presence within widely separated regions of the nervous system, including the brainstem, spinal cord and gut. The hippocampal–amygdala complex together with the entorhinal and prefrontal cortices are likely components of multiple knowledge networks since they participate in the contextual recall of memories and action selection. Sleep and reflection processes and attentional mechanisms mediated by the habenula are expected to play a key role in knowledge creation and consolidation. Unlike a straightforward test of memory, determining the loci and mechanisms for the storage and recall of knowledge requires the implementation of a naturalistic decision-making paradigm. By formalizing a neuroscientific concept of knowledge networks, we can experimentally test their functionality by recording large-scale neural activity during decision making in awake, naturally behaving animals. These types of studies are difficult but important also for advancing knowledge-driven as opposed to big data-driven models of artificial intelligence. A knowledge network-driven understanding of brain function may have practical implications in other spheres, such as education and the treatment of mental disorders.

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Auditory-vocal control system is object for predictive processing within seconds time range

Cited by 2 publications

References 91 publications

Deficiency in Re-Orienting of Attention in Adults with Attention-Deficit Hyperactivity Disorder

Deficiency in Re-Orienting of Attention in Adults with Attention-Deficit Hyperactivity Disorder

From Information to Knowledge: A Role for Knowledge Networks in Decision Making and Action Selection

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