Age differences in functional connectivity track dedifferentiation of category representations

With advancing age, the distinctiveness of neural representations of information declines. While the finding of this so-called 'age-related neural dedifferentiation' in category-selective neural regions is well-described, the contribution of age-related changes in network organization to dedifferentiation is unknown. Here, we asked whether age differences in a) whole-brain network segregation (i.e., network dedifferentiation) and b) functional connectivity to category-selective neural regions contribute to regional dedifferentiation of categorical representations. Younger and older adults viewed blocks of face and house stimuli in the fMRI scanner. We found an age-related decline in neural distinctiveness for faces in the fusiform gyrus (FG) and for houses in the parahippocampal gyrus (PHG). Functional connectivity analyses revealed age-related dedifferentiation of global network structure as well as age differences in connectivity between the FG and early visual cortices. Interindividual correlations demonstrated that regional distinctiveness was related to network segregation as well as connectivity of the FG to the visual network. Together, our findings reveal that dedifferentiation of categorical representations may be linked to age-related reorganization of functional networks.

Early visual cortices reveal interrelated item and category representations in aging

Neural dedifferentiation, the finding that neural representations tend to be less distinct in older adults compared with younger adults, has been associated with age-related declines in memory performance. Most studies assessing the relation between memory and neural dedifferentiation have evaluated how age impacts the distinctiveness of neural representations for different visual categories (e.g., scenes and objects). However, how age impacts the quality of neural representations at the level of individual items is still an open question. Here, we present data from an age-comparative fMRI study that aimed to understand how the distinctiveness of neural representations for individual stimuli differs between younger and older adults and relates to memory outcomes. Pattern similarity searchlight analyses yielded indicators of neural dedifferentiation at the level of individual items as well as at the category level in posterior occipital cortices. We asked whether age differences in neural distinctiveness at each representational level were associated with inter- and/or intraindividual variability in memory performance. While age-related dedifferentiation at both the item and category level related to between-person differences in memory, neural distinctiveness at the category level also tracked within-person variability in memory performance. Concurrently, neural distinctiveness at the item level was strongly associated with neural distinctiveness at the category level both within and across participants, elucidating a potential representational mechanism linking item- and category-level distinctiveness. In sum, we provide evidence that age-related neural dedifferentiation co-exists across multiple representational levels and is related to memory performance.Significance Statement Age-related memory decline has been associated with neural dedifferentiation, the finding that older adults have less distinctive neural representations than younger adults. This has been mostly shown for category information, while evidence for age differences in the specificity of item representations is meager. We used pattern similarity searchlight analyses to find indicators of neural dedifferentiation at both levels of representation (category and item) and linked distinctiveness to memory performance. Both item- and category-level dedifferentiation in the calcarine cortex were related to interindividual differences in memory performance, while category-level distinctiveness further tracked intraindividual variability. Crucially, neural distinctiveness was strongly tied between the item and category levels, indicating that intersecting representational properties of posterior occipital cortices reflect both individual exemplars and categories.

Age differences in neural distinctiveness during memory encoding, retrieval, and reinstatement

Robust evidence points to mnemonic deficits in older adults related to dedifferentiated, i.e. less distinct, neural responses during memory encoding. However, less is known about retrieval-related dedifferentiation and its role in age-related memory decline. In this study, younger and older adults were scanned both while incidentally learning face and house stimuli and while completing a surprise recognition memory test. Using pattern similarity searchlight analyses, we looked for indicators of neural dedifferentiation during encoding, retrieval, and encoding-retrieval reinstatement. Our findings revealed age-related reductions in neural distinctiveness during all memory phases in visual processing regions. Interindividual differences in retrieval- and reinstatement-related distinctiveness were strongly associated with distinctiveness during memory encoding. Both item- and category-level distinctiveness predicted trial-wise mnemonic outcomes. We further demonstrated that the degree of neural distinctiveness during encoding tracked interindividual variability in memory performance better than both retrieval- and reinstatement-related distinctiveness. All in all, we contribute to meager existing evidence for age-related neural dedifferentiation during memory retrieval. We show that neural distinctiveness during retrieval is likely tied to recapitulation of encoding-related perceptual and mnemonic processes.

Investigating Differences in Behavior and Brain in Human-Human and Human-Autonomous Vehicle Interactions in Time-Critical Situations

Some studies provide evidence that humans could actively exploit the alleged technological advantages of autonomous vehicles (AVs). This implies that humans may tend to interact differently with AVs as compared to human driven vehicles (HVs) with the knowledge that AVs are programmed to be risk-averse. Hence, it is important to investigate how humans interact with AVs in complex traffic situations. Here, we investigated whether participants would value interactions with AVs differently compared to HVs, and if these differences can be characterized on the behavioral and brain-level. We presented participants with a cover story while recording whole-head brain activity using fNIRS that they were driving under time pressure through urban traffic in the presence of other HVs and AVs. Moreover, the AVs were programmed defensively to avoid collisions and had faster braking reaction times than HVs. Participants would receive a monetary reward if they managed to finish the driving block within a given time-limit without risky driving maneuvers. During the drive, participants were repeatedly confronted with left-lane turning situations at unsignalized intersections. They had to stop and find a gap to turn in front of an oncoming stream of vehicles consisting of HVs and AVs. While the behavioral results did not show any significant difference between the safety margin used during the turning maneuvers with respect to AVs or HVs, participants tended to be more certain in their decision-making process while turning in front of AVs as reflected by the smaller variance in the gap size acceptance as compared to HVs. Importantly, using a multivariate logistic regression approach, we were able to predict whether the participants decided to turn in front of HVs or AVs from whole-head fNIRS in the decision-making phase for every participant (mean accuracy = 67.2%, SD = 5%). Channel-wise univariate fNIRS analysis revealed increased brain activation differences for turning in front of AVs compared to HVs in brain areas that represent the valuation of actions taken during decision-making. The insights provided here may be useful for the development of control systems to assess interactions in future mixed traffic environments involving AVs and HVs.

Test-retest reliability of the participative decision-making scale for student nurses

The Participative Decision-making Scale for Nurses was administered before and after a six-week interval to 30 nursing students in the final semester of their programme. Reliability coefficients for the four subscales, with the exception of the clinical subscale, were of reasonable magnitude (range .42 to .62).

Comparative evaluation of the diagnosis of acute pancreatitis based on serum and urine enzyme assays

We compared the diagnostic sensitivities of serum amylase, lipase (assayed enzymatically and immunologically), trypsinogen and elastase-1, the 2-h-timed urine amylase excretion and the ratio of amylase and creatinine clearances in the recognition of acute pancreatitis. Serial serum and urine findings from 39 patients with acute pancreatitis, and from 42 patients with non-pancreatic causes of abdominal pain (controls), as well as findings from 24 healthy subjects (normals) were studied. Decision thresholds were established for each parameter using either the control or the normal population, and the resulting diagnostic sensitivities determined. On hospital admission, all serum assays were equally sensitive, but on subsequent days lipase, trypsinogen and elastase-1 assays all significantly surpassed the sensitivity of the serum amylase assay. On the second and subsequent hospitalization days, determination of timed urine amylase excretion offered no advantage over the serum amylase, and the ratio of amylase and creatinine clearances lacked discrimination altogether.

Strategic use of individual and combined enzyme indicators for acute pancreatitis analyzed by receiver-operator characteristics

The optimal strategy for the diagnosis of acute pancreatitis with enzyme assay results as indicators was evaluated in 67 emergency cases in whom this condition was suspected. We measured urine amylase expressed as activity concentration (U/L), timed excretion (U/h), and amylase/creatinine clearance ratio, and also serum amylase, elastase, lipase, and trypsinogen, at admission and repeatedly during hospitalization. The receiver-operator characteristic function was used to evaluate the diagnostic discrimination of each variable among initial findings and among the highest individual findings established retrospectively. We applied the same treatment to multiple univariate discrimination, using the six possible pairs and the four possible triplets of serum indicators. The results suggest that such urine assays should be abandoned, that all individual serum assays combine about 0.9 sensitivity with 0.9 specificity, that pairing of two assays does not clearly enhance discrimination, and that triplets of tests may degrade discrimination. The trade-off between sensitivity and specificity is a function not only of the chosen decision threshold but also of the sampling strategy (initial vs highest values) and of the interpretation rule (Boolean "and" vs "or" strategy).

Strategic use of individual and combined enzyme indicators for acute pancreatitis analyzed by receiver-operator characteristics

The optimal strategy for the diagnosis of acute pancreatitis with enzyme assay results as indicators was evaluated in 67 emergency cases in whom this condition was suspected. We measured urine amylase expressed as activity concentration (U/L), timed excretion (U/h), and amylase/creatinine clearance ratio, and also serum amylase, elastase, lipase, and trypsinogen, at admission and repeatedly during hospitalization. The receiver-operator characteristic function was used to evaluate the diagnostic discrimination of each variable among initial findings and among the highest individual findings established retrospectively. We applied the same treatment to multiple univariate discrimination, using the six possible pairs and the four possible triplets of serum indicators. The results suggest that such urine assays should be abandoned, that all individual serum assays combine about 0.9 sensitivity with 0.9 specificity, that pairing of two assays does not clearly enhance discrimination, and that triplets of tests may degrade discrimination. The trade-off between sensitivity and specificity is a function not only of the chosen decision threshold but also of the sampling strategy (initial vs highest values) and of the interpretation rule (Boolean "and" vs "or" strategy).

Children's Sleep Behavior Scale: normative data on 870 children in grades 1 to 6

A 22-item Likert-type rating scale for parents was developed for screening a broad range of specific sleep-related behaviors of elementary school children. The prevalence of these behaviors was reported by parents for boys (n = 459) and girls (n = 411) in three age groups, less than 8.5 yr., between 8.5 and 11.5 yr., and greater than 11.5 yr. For all age groups, the most prevalent behaviors were restlessness, waking up at night, pleasant dreams, getting up to go to the bathroom, talking while asleep, and complaints about not being able to sleep, while the least frequent were rhythmical movements and crying while asleep. The self-reports suggest that many of the behaviors are underestimated in the literature. Some sex and age differences were found, but the number of siblings, birth order, change in family structure, and educational status of father and mother were unrelated to the sleep variables. Test-retest reliabilities of self-reports by these parents to individual items were adequate.