Nachwuchsgruppe Randolph Helfrich

In English only

I. Rhythmic building blocks of human attention: How network oscillations link perception and action.

Attention is a fundamental cognitive function necessary to efficiently translate 
sensory experiences into goal-directed
actions
. Traditionally, attention has been conceptualized as a constant spotlight that amplifies behaviorally-relevant information. Recently, several lines of inquiry probing attention on a fine-grained temporal scale revealed frequency-specific behavioral fluctuations that align with ongoing brain oscillations, indicating that attention is a discrete process. Our aim is to understand the structural and functional basis as well as the physiologic purpose of attentional rhythmic fluctuations.

See also:Helfrich et al. (2018b) Neuron, Helfrich et al. (2019) Current Opinion in Psychology

II. Context-dependent predictive processing in human prefrontal cortex.

Over the last few decades, several lines of research indicated that the prefrontal cortex (PFC) provides the structural basis for goal-directed behavior based on endogenous predictions, but its functional architecture is not well understood. Our goal is to investigate how predictions are implemented in the human brain to optimize sensory processing and goal-directed behavior.

Background reading Helfrich and Knight (2016) Trends in Cognitive Science; Helfrich et al. (2017) PNAS

III. (Patho-) Physiology of human memory networks during wakefulness and sleep

Hippocampus-Prefrontal interactions are central to memory formation in the human brain. Critically, this network also constitutes a predilection site for various pathological entities that are associated with memory deficits. Our goal is to further dissect and understand the network circuitry underlying memory disorders in various patient populations (epilepsy, stroke and degenerative diseases)

Additional information: Helfrich et al. (2018a) Neuron; Winer, Mander, Helfrich et al. (2019) JNeurosci

IV. Principles of neuronal network organization in the sleeping and the unconscious (anesthesia, coma) brain.

How do different network states impact different behavioral states? Understanding principles of network organization is critical to understand disorders of consciousness. We will work with several patient populations to understand large-scale network mechanisms underlying reduced arousal states.

See also Helfrich et al. (2019) Nature Communications; Lendner, Helfrich et al. (2020) preprinted on the biorxiv