Cartographers of the Cognitive Map: Locus Coeruleus Is Part of the Guild

Brainstem auditory evoked potential in cognitive impairment in patients with type 2 diabetes mellitus

PURPOSE

Type 2 diabetes mellitus (T2DM) can cause mild cognitive impairment (MCI) which threatens the health of patients. So the diagnosis of MCI is particularly important. It is reported that brainstem auditory evoked potential (BAEP) is a sensitive tool to detect the brainstem function in patients with T2DM. This study aimed to investigate the relationship between BAEP and MCI in patients with T2DM.

METHODS

A total of 244 T2DM patients with normal hearing, including 117 normal cognition patients and 127 MCI patients, were recruited in this cross-sectional study. Each subject underwent the BAEP examination. The diagnosis of MCI was based on the diagnostic guideline developed by the National Institute on Aging-Alzheimer's Association workgroups. The Montreal Cognitive Assessment (MoCA) was used to assess the cognitive function of the subjects.

RESULTS

Compared with the normal cognition group, the patients in the MCI group had longer latencies of waves III and V and interpeak latencies (IPL) I-V in both ears (P < 0.05). The significant negative correlations were found between the latencies of waves III, V, IPL I-V, and MoCA score in both ears (P < 0.05). Logistic regression showed that the prolongations of latunits of waves III and V and IPL I-V in both ears were still associated with MCI after adjustment for mixed factors (P < 0.05).

CONCLUSION

These results indicate abnormal auditory pathway in brainstem of T2DM patients with MCI. BAEP may contribute to the clinical diagnosis of MCI in patients with T2DM.

Over-representation of fundamental decision variables in the prefrontal cortex underlies decision bias

The brain is organized into anatomically distinct structures consisting of a variety of projection neurons. While such evolutionarily conserved neural circuit organization underlies the innate ability of animals to swiftly adapt to environments, they can cause biased cognition and behavior. Although recent studies have begun to address the causal importance of projection-neuron types as distinct computational units, it remains unclear how projection types are functionally organized in encoding variables during cognitive tasks. This review focuses on the neural computation of decision making in the prefrontal cortex and discusses what decision variables are encoded by single neurons, neuronal populations, and projection type, alongside how specific projection types constrain decision making. We focus particularly on "over-representations" of distinct decision variables in the prefrontal cortex that reflect the biological and subjective significance of the variables for the decision makers. We suggest that task-specific over-representation in the prefrontal cortex involves the refinement of the given decision making, while generalized over-representation of fundamental decision variables is associated with suboptimal decision biases, including pathological ones such as those in patients with psychiatric disorders. Such over-representation of the fundamental decision variables in the prefrontal cortex appear to be tightly constrained by afferent and efferent connections that can be optogenetically intervened on. These ideas may provide critical insights into potential therapeutic targets for psychiatric disorders, including addiction and depression.