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Following neuronal signals of multiple visual stimuli through cortical pathways to identify attentional gating mechanisms

Subject Area Cognitive, Systems and Behavioural Neurobiology
Term from 2017 to 2022
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 331514942
 
Final Report Year 2023

Final Report Abstract

We investigated the neuronal mechanisms underlying selective attention that enable the brain to selectively and efficiently process currently relevant information. Corresponding insights are pivotal for understanding how the brain works, which is the indispensable basis provided by fundamental research for the rational and efficient development of effective new diagnostic and therapeutic approaches for treating brain disorders. One of the central aspects of brain function, the selective transmission and processing of relevant information while suppressing irrelevant information, depends in the visual system on selective attention to the currently relevant stimulus. Here, we investigate the hypothesis that attention controls the effective transmission and, consequently, further processing of the relevant information by synchronizing oscillatory activity patterns (50-80 cycles per second) between neurons sending out relevant information and neurons that need to receive it. The rationale is that if neurons deliver their output when receiver neurons are in the most sensitive phase during their oscillatory cycle, the effectiveness of information transmission is maximized. Neurons that do not align their temporal activity patterns with the sensitive phases of receiving neurons would consequently have less influence on them. In our project, we (1) demonstrated the causal relationship between the precise phase at which signals arrive during the oscillatory activity cycle of the receiving neuron and the strength of their effect. This proof of causality allowed us to refute competing hypotheses. Furthermore, we could show that (2) this most sensitive phase relation between the neuronal activities of sender and receiver neurons occurs frequently, persists over relevant periods of time, and during these periods, significantly more information about visual stimuli is transmitted than during periods with other phase relations. We also found evidence supporting the hypothesis that (3) attention elicits this effective phase relation by increasing the activity of sender neurons processing relevant information while simultaneously reducing the activity of sender neurons processing competing, irrelevant information. For our data analysis, we developed a method for removing electrical stimulation artifacts from neuronal data without distorting the neuronal signal. Furthermore, we tested and characterized a method for quantifying spiking activity that supports activity data extraction from noisy data.

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