Distinct Causal Influences of Dorsolateral Prefrontal Cortex and Posterior Parietal Cortex in Multiple-Option Decision Making.

Our knowledge about neural mechanisms underlying decision making is largely based on experiments that involved few options. However, it is more common in daily life to choose between many options, in which processing choice information selectively is particularly important. The current study examined whether the dorsolateral prefrontal cortex (dlPFC) and posterior parietal cortex (PPC) are of particular importance to multiple-option decision making. Sixty-eight participants received anodal high definition-transcranial direct current stimulation (HD-tDCS) to focally enhance dlPFC or PPC in a double-blind sham-controlled design. Participants then performed a multiple-option decision making task. We found longer fixations on poorer options were related to less optimal decisions. Interestingly, this negative impact was attenuated after applying anodal HD-tDCS over dlPFC, especially in choices with many options. This suggests that dlPFC has a causal role in filtering choice-irrelevant information. In contrast, these effects were absent after participants received anodal HD-tDCS over PPC. Instead, the choices made by these participants were more biased towards the best options presented on the side contralateral to the stimulation. This suggests PPC has a causal role in value-based spatial selection. To conclude, the dlPFC has a role in filtering undesirable options, whereas the PPC emphasizes the desirable contralateral options.

Dopamine and reward: a view from the prefrontal cortex.

The prefrontal cortex (PFC) is a heterogeneous area that is critical to reward-based decision-making. In particular, the dorsal anterior cingulate cortex, ventromedial PFC and orbitofrontal cortex are frequently implicated in different aspects of choice behaviour. These regions receive projections from midbrain dopamine (DA) neurons and, in turn, project to other key dopaminergic regions such as the striatum. However, our current understanding of the role of DA in reward-based processes is based mainly on studies of midbrain dopaminergic neurons and striatal DA release from nonhuman animal models. An important gap in the literature surrounds the precise functions of DA release in the PFC, particularly in humans. A priority for future research will be to integrate, both computationally and biologically, the seemingly disparate value representations across different nodes within the reward-processing network. Such models should aim to define the functional interactions between the PFC and basal ganglia, through which dopaminergic neurotransmission guides reward-based behaviour.

Frontopolar cortex represents complex features and decision value during choice between environments.

Important decisions often involve choosing between complex environments that define future item encounters. Despite its importance for adaptive behavior and distinct computational challenges, decision-making research primarily focuses on item choice, ignoring environment choice altogether. Here we contrast previously studied item choice in ventromedial prefrontal cortex with lateral frontopolar cortex (FPl) linked to environment choice. Furthermore, we propose a mechanism for how FPl decomposes and represents complex environments during decision making. Specifically, we trained a choice-optimized, brain-naive convolutional neural network (CNN) and compared predicted CNN activation with actual FPl activity. We showed that the high-dimensional FPl activity decomposes environment features to represent the complexity of an environment to make such choice possible. Moreover, FPl functionally connects with posterior cingulate cortex for guiding environment choice. Further probing FPl's computation revealed a parallel processing mechanism in extracting multiple environment features.

Physical exercise attenuates cognitive decline and reduces behavioural problems in people with mild cognitive impairment and dementia: a systematic review.

QUESTIONS: What is the effect of physical exercise on cognitive decline and behavioural problems in people with mild cognitive impairment (MCI) or dementia? What is the effect of physical exercise on particular domains of cognitive function? How do training protocols and patients' characteristics influence the outcomes? DESIGN: Systematic review and meta-analysis of randomised trials. PARTICIPANTS: People with MCI or dementia as their primary diagnosis. INTERVENTION: Physical exercise. OUTCOME MEASURES: Cognitive function including global cognition, memory, executive function, reasoning, attention, language, and behavioural problems. RESULTS: Forty-six trials involving 5099 participants were included in this review. Meta-analysis of the data estimated that aerobic exercise reduced the decline in global cognition, with a standardised mean difference (SMD) of 0.44, 95% CI 0.27 to 0.61, I2 = 69%. For individual cognitive functions, meta-analysis estimated that exercise lessened working memory decline (SMD 0.28, 95% CI 0.04 to 0.52, I2 = 40%). The estimated mean effect on reducing the decline in language function was favourable (SMD 0.17), but this estimate had substantial uncertainty (95% CI -0.03 to 0.36, I2 = 67%). The effects of exercise on other cognitive functions were unclear. Exercise also reduced behavioural problems (SMD 0.36, 95% CI 0.07 to 0.64, I2 = 81%). CONCLUSION: Physical exercise can reduce global cognitive decline and lessen behavioural problems in people with MCI or dementia. Its benefits on cognitive function can be primarily attributed to its effects on working memory. Aerobic exercise at moderate intensity or above and a total training duration of > 24 hours can lead to a more pronounced effect on global cognition.

Consistent patterns of distractor effects during decision making.

The value of a third potential option or distractor can alter the way in which decisions are made between two other options. Two hypotheses have received empirical support: that a high value distractor improves the accuracy with which decisions between two other options are made and that it impairs accuracy. Recently, however, it has been argued that neither observation is replicable. Inspired by neuroimaging data showing that high value distractors have different impacts on prefrontal and parietal regions, we designed a dual route decision-making model that mimics the neural signals of these regions. Here we show in the dual route model and empirical data that both enhancement and impairment effects are robust phenomena but predominate in different parts of the decision space defined by the options' and the distractor's values. However, beyond these constraints, both effects co-exist under similar conditions. Moreover, both effects are robust and observable in six experiments.