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Danielmeier, C.

Publications and source records attributed to Danielmeier, C..

2 recordsLinked to original sources

Temporally resolved glutamate and GABA responses measured in human medial frontal cortex during working memory encoding and recall

Resolving rapid neurochemical changes during cognition is key to linking neurophysiology with behaviour. We developed a mixed block/event-related design of a working memory (WM) task for functional magnetic resonance spectroscopy (fMRS) at 7T to resolve glutamate and GABA fluctuations during encoding and recall phases of WM. Participants performed the WM task interleaved with rest and control conditions while semi-LASER spectra were acquired from the medial frontal cortex. Group-level phase-specific analyses revealed significant glutamate, but not GABA, increases during encoding and recall relative to control. However, larger individual increases in GABA during encoding predicted higher WM accuracy. Glutamate exhibited distinct, temporally resolved peaks for encoding ([~]1.1s) and recall ([~]1.4s). These time courses extend beyond previously reported post-stimulus windows and align closely with behavioural response latencies. Our findings provide temporally high-resolved characterisations of glutamate responses during distinct phases of WM and highlight differential roles of glutamate and GABA in WM processes.

neuroscience↗

Cortical beta power reflects a neural implementation of decision boundary collapse in a speeded flanker task

A prominent account of decision-making assumes that information is accumulated until a fixed response threshold is crossed. However, many decisions require weighting of information appropriately against time. Collapsing response thresholds are a mathematically optimal solution to this decision problem. However, our understanding of the neurocomputational mechanisms that underly dynamic response thresholds remains very incomplete. To investigate this issue, we used a multistage drift diffusion model (DDM) and also analysed EEG beta power lateralization (BPL). The latter served as a neural proxy for decision signals. We analysed a large dataset (n=863) from a speeded flanker task and data from an independent confirmation sample (n=119). We show that a DDM with collapsing decision thresholds, a process where the decision boundary reduces over time, captured participants time-dependent decision policy better than a model with fixed thresholds. Previous research suggests that BPL over motor cortices reflects features of a decision signal and that its peak may serve as a neural proxy for the decision threshold. Our findings offer compelling evidence for the existence of collapsing decision thresholds in decision-making processes.

neuroscience↗