Category-specific item encoding in the medial temporal lobe and beyond: The role of reward

Forming new memories is a fundamental part of human life, and the medial temporal lobe (MTL) is central to memory formation. Recent research suggests that within MTL, the perirhinal and parahippocampal cortices (PRC, PHC) process object and scene memory, respectively, whereas the hippocampus (HC) is agnostic to stimulus category. It is unclear, however, whether MTL category specificity extends to item encoding. Furthermore, MTL does not act in isolation: Reward-related memories are formed in interplay with the dopaminergic midbrain (substantia nigra/ventral tegmental area, SNVTA) and amygdala (AMY), but it is unclear whether reward modulates neural item encoding in a category-specific way. To address these questions, we had 39 healthy volunteers (27 for all memory-based analyses) undergo functional magnetic resonance imaging while they solved an incidental encoding task, which paired objects or scenes with high or low reward, followed by a next-day surprise recognition test. Behaviourally, high reward preferably enhanced object memory. Importantly, neural activity in PRC and PHC reflected item encoding of objects and scenes, respectively. Moreover, AMY encoding effects were selective for high-reward objects, with a similar pattern in PRC. SNVTA and HC showed no clear evidence of item encoding. The behavioural and neural asymmetry of reward-related encoding effects may be conveyed through an anterior-temporal memory system, including AMY and PRC, potentially in interplay with the ventromedial prefrontal cortex (vmPFC).

Correlated Brain Indexes of Semantic Prediction and Prediction Error: Brain Localization and Category Specificity

With strong and valid predictions, grasping a message is easy, whereas more demanding processing is required in the absence of robust expectations. We here demonstrate that brain correlates of the interplay between prediction and perception mechanisms in the understanding of meaningful sentences. Sentence fragments that strongly predict subsequent words induced anticipatory brain activity preceding the expected words; this potential was absent if context did not strongly predict subsequent words. Subjective reports of certainty about upcoming words and objective corpus-based measures correlated with the size of the anticipatory signal, thus establishing its status as a semantic prediction potential (SPP). Crucially, there was an inverse correlation between the SPP and the N400 brain response. The main cortical generators of SPP and N400 were found in inferior prefrontal cortex and posterior temporal cortex, respectively. Interestingly, sentence meaning was reflected by both measures, with additional category-specific sources of SPPs and N400s falling into parieto-temporo-occipital (visual) and frontocentral (sensorimotor) areas for animal- and tool-related words, respectively. These results show that the well-known brain index of semantic comprehension, N400, has an antecedent with different brain localization but similar semantic discriminatory function. We discuss whether N400 dynamics may causally depend on mechanisms underlying SPP size and sources.

Physiological Correlates to In-race Paratriathlon Cycling Performance

The purpose was to determine the physiological correlates to cycling performance within a competitive paratriathlon. Five wheelchair user and ten ambulant paratriathletes undertook laboratory-based testing to determine their: peak rate of oxygen uptake; blood lactate- and ventilatory-derived physiological thresholds; and, their maximal aerobic power. These variables were subsequently expressed in absolute (l∙min −1 or W), relative (ml∙kg−1∙min −1 or W∙kg −1) and scaled relative (or ml∙kg − 0.82 ∙min −1, ml∙kg − 0.32 ∙min −1 or W∙kg −0.32) terms. All athletes undertook a paratriathlon race with 20 km cycle. Pearson’s correlation test and linear regression analyses were produced between laboratory-derived variables and cycle performance to generate correlation coefficients (r), standard error of estimates and 95% confidence intervals. For wheelchair users, performance was most strongly correlated to relative aerobic lactate threshold (W∙kg −1) (r=−0.99; confidence intervals: −0.99 to −0.99; standard error of estimate=22 s). For ambulant paratriathletes, the greatest correlation was with maximal aerobic power (W∙kg −0.32) (r=−0.91; −0.99 to −0.69; standard error of estimate=88 s). Race-category-specificity exits regarding physiological correlates to cycling performance in a paratriathlon race with further differences between optimal scaling factors between paratriathletes. This suggests aerobic lactate threshold and maximal aerobic power are the pertinent variables to infer cycling performance for wheelchair users and ambulant paratriathletes, respectively.

Indefiniteness and Specificity

The semantic–pragmatic category ‘specificity’ is used to describe various semantic and pragmatic contrasts of indefinite noun phrases. This chapter will first provide a brief illustration of different linguistic means to express these contrasts in different languages. Second, it will categorize different types of specificity according to the semantic and pragmatic contexts in which they can be found. The standard tests for these different kinds of specificity are also discussed. In the third section a comparison is made between four families of theoretical approaches to specificity and the chapter concludes with the notion that specificity can be best understood by ‘referential anchoring’.