Transmission delays and frequency detuning can regulate information flow between brain regions

Pariz, Aref; Fischer, Ingo; Valizadeh, Alireza; Mirasso, Claudio R.

doi:10.1101/2020.07.09.194969

Cited by 4 publications

(3 citation statements)

References 81 publications

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“…The mechanism for interaction may depend on oscillatory activity. This is ubiquitous throughout the hierarchy, with higher frequencies in the PF cortex (Lundqvist et al, 2020), and it may play a role in changes in functional connectivity between areas depending on the current task (Pariz et al, 2021). The inputs and outputs are fixed, though they may differ in strength with experience.…”

Section: Discussionmentioning

confidence: 99%

Do we understand the prefrontal cortex?

Passingham

Lau²

2022

Brain Struct Funct

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Many suggestions have been made as to the functions of the PF cortex. However, they involve labelling areas using psychological terminology. But what we need to know is how the PF cortex operates. We argue that understanding this must start with describing the flow of information.We illustrate this argument by considering three PF areas. Each has a unique pattern of inputs and outputs, and we suggest that the implication is that each performs a unique transformation from the inputs to the outputs. The caudal PF cortex transforms input that is maintained by attention or short-term memory into the target of the appropriate eye movement. The mid-dorsal PF cortex transforms input concerning the order of objects or actions into the target of the appropriate eye and hand movements, thus supporting sequences of action. The ventral PF cortex transforms input concerning an object or sound into prospective activity that encodes the associated object or sound.However, it is important to appreciate that the mid-dorsal and ventral PF cortex are specialized for encoding abstract transformations, irrespective of the specific actions or objects. The advantage is that this enables generalization to novel problems that have the same underlying logic. We account for the difference between fast learning and slow learning in this way.The human brain has co-opted these mechanisms so as to support intelligence. Non-verbal tests of IQ typically use sequences of letters, numbers or designs. These test the ability to understand the abstract rules that apply. Here the activations lie in the mid-dorsal PF cortex. Verbal tests typically assess the ability to understand semantic associations. These can be presented either in pictorial or verbal form. Here the activations lie in the ventral PF cortex.

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Section: Discussionmentioning

confidence: 99%

Do we understand the prefrontal cortex?

Passingham

Lau²

2022

Brain Struct Funct

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“…Once again, the use of communication delay among brain areas resulted in a model with better fit when compared to the DBN model without communication lag. These results are in compliance with reported literature which already suggested that communication among brain areas sometimes presents a delay (PARIZ et al, 2021), and this lag organizes the brain network synchronization (PETKOSKI; JIRSA, 2019).…”

Section: The Use Of Multivariatesupporting

confidence: 93%

“…the neurons (NOWAK et al, 2017). Additionally, it is crucial to realize that communication across brain areas requires some time delay (PARIZ et al, 2021), which is necessary for maintaining the brain's health or keeping the pathological network synchronization intact (PETKOSKI; JIRSA, 2019). Based on the physician's observed temporal delay pattern, it is possible to determine the seizure initiation zone during ictal activity (MYERS et al, 2020).…”

Section: List Of Tablesmentioning

confidence: 99%

Dynamic evaluation of induced epilepsy in rats: a bayesian network perspective

Tsukahara¹

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A epilepsia é uma das doenças neurológicas mais comuns em todo o mundo. Considerando o cérebro um sistema complexo, estudos tem utilizado esta abordagem para realizar análise de conectividade funcional para indivíduos saudáveis, bem como acometidos pela patologia. A tese apresenta a aplicação das Redes Bayesianas (Dinâmicas) (DBN) para modelar os registros dos Potenciais de Campo Locais (LFP) de ratos induzidos a convulsões epilépticas, avaliando a influência da variável tempo para as análises. Os resultados mostraram que a análise DBN captou a natureza dinâmica da conectividade cerebral através da ictogênese com uma correlação significativa com a neurobiologia derivada de estudos pioneiros que empregavam técnicas de manipulação farmacológica, lesão e optogênese moderna. A avaliação dos arcos sob a abordagem proposta foi consistente com a literatura anterior, propôs novos entendimentos, como a descontinuidade entre o mioclonia de membros inferiores e a dinâmica generalizada da convulsão tônico-clônica (GTCS). Após a incorporação de atrasos entre os registros eletroencefalográficos, houve a indicação de melhor aderência do conjunto de sinais ao modelo DBN.

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Functional brain network dynamics based on the Hindmarsh–Rose model

Zhang

et al. 2021

Nonlinear Dyn

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Transmission delays and frequency detuning can regulate information flow between brain regions

Cited by 4 publications

References 81 publications

Do we understand the prefrontal cortex?

Do we understand the prefrontal cortex?

Dynamic evaluation of induced epilepsy in rats: a bayesian network perspective

Functional brain network dynamics based on the Hindmarsh–Rose model

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