Abstract

When given a long list of items to remember, people typically prioritize the memorization of the most valuable items. Prior neuroimaging studies have found that cues denoting the presence of high value items can lead to increased activation of the mesolimbic dopaminergic reward circuit, including the nucleus accumbens (NAcc) and ventral tegmental area (VTA), which in turn results in up-regulation of medial temporal lobe encoding processes and better memory for the high value items. Value cues may also trigger the use of elaborative semantic encoding strategies which depend on interactions between frontal and temporal lobe structures. We used diffusion tensor imaging (DTI) to examine whether individual differences in anatomical connectivity within these circuits are associated with value-induced modulation of memory. DTI data were collected from 19 adults who also participated in an functional magnetic resonanceimaging (fMRI) study involving a value-directed memory task. In this task, subjects encoded words with arbitrarily assigned point values and completed free recall tests after each list, showing improved recall performance for high value items. Motivated by our prior fMRI finding of increased recruitment of left-lateralized semantic network regions during the encoding of high value words (Cohen et al., 2014), we predicted that the robustness of the white matter pathways connecting the ventrolateral prefrontal cortex (VLPFC) with the temporal lobe might be a determinant of recall performance for high value items. We found that the mean fractional anisotropy (FA) of each subject’s left uncinate fasciculus (UF), a fronto-temporal fiber bundle thought to play a critical role in semantic processing, correlated with the mean number of high value, but not low value, words that subjects recalled. Given prior findings on reward-induced modulation of memory, we also used probabilistic tractography to examine the white matter pathway that links the NAcc to the VTA. We found that the number of fibers projecting from left NAcc to VTA was reliably correlated with subjects’ selectivity index, a behavioral measure reflecting the degree to which recall performance was impacted by item value. Together, these findings help to elucidate the neuroanatomical pathways that support verbal memory encoding and its modulation by value.

Highlights

  • As we go about our day-to-day lives, we often find ourselves bombarded with new information, only some of which may be important to remember

  • Our analyses revealed a significant positive correlation between participants’ ability to recall high reward value words and the structural integrity of two white matter pathways of interest: the UF and the tract connecting the nucleus accumbens (NAcc) and the ventral tegmental area (VTA)

  • No such correlation was found between these pathways and participants’ recall of low reward value words

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Summary

Introduction

As we go about our day-to-day lives, we often find ourselves bombarded with new information, only some of which may be important to remember. One effective strategy is the engagement of elaborative encoding processes, in which an item’s semantic attributes are processed in a deep manner (Craik and Tulving, 1975; Castel, 2008) This often entails the effortful generation of visual images, associations, or stories in an effort to make the item’s representation more memorable. Recent evidence from fMRI studies indicates that engagement of the brain’s so-called ‘‘semantic network’’ (Binder and Desai, 2011) which includes regions of the left ventrolateral PFC (VLPFC) and lateral temporal cortex, is markedly increased during the encoding of high value items (Cohen et al, 2014, 2016). Functional neuroimaging studies like these have contributed to our understanding of these two putative mechanisms of reward value-induced memory enhancement—one tied to the brain’s dopaminergic reward circuitry and one tied to strategic engagement of the semantic network—these studies have highlighted substantial individual differences in the degree to which people engage these mechanisms (Adcock et al, 2006; Cohen et al, 2014, 2016)

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