This study sought to define the frequency of noncredible performance in breast cancer patients before, during and after completion of systemic treatment, as well as predictors of noncredible performance. We examined six datasets investigating the cognitive effects of chemotherapy and/or endocrine therapy. Embedded performance validity test (PVT) measures were identified and used to evaluate the datasets. One dataset included a standalone PVT. Possible noncredible performance was operationally defined as performance below criterion on three or more PVT indices. This was undertaken as cancer patients have been observed clinically to fail PVTs both in the context of external gain and independent of such motivators. A total of 534 breast cancer patients and 214 healthy controls were included in the analysis. Percentages of patients performing below cutoff on one or more PVT varied from 0% to 21.2%. Only 1 patient met the criterion of noncredible performance. Calculation of post-test probabilities indicated a more than 90% chance to detect noncredible performance. There is no evidence to suggest noncredible performance in breast cancer patients and healthy controls who choose to participate in research studies examining cognitive function. Thus, the observational data showing that non-central nervous system (CNS) cancer and therapies not targeting the CNS can have untoward effects on cognitive function are unlikely to be due to noncredible performance. (JINS, 2014, 19, 1–13)

Numerous studies have shown that there are acute cognitive side-effects of chemotherapy for breast cancer. Presumably, patients are more concerned about chronic treatment effects. This report from a prospective longitudinal study compares cognitive functioning in 56 breast cancer patients 1 year after chemotherapy to that of 56 healthy individuals. Neuropsychological test scores were combined into verbal memory, visual memory, working memory, and processing speed scores, as well as an overall summary score, and analyzed using multi-level growth modeling. Frequency of cognitive decline was assessed using regression-based change scores. There was significant rebound in the overall summary score from end of treatment to 1-year follow-up as well as a substantial reduction in the frequency of cognitive decline. However, more than one-third of the breast cancer patients who showed cognitive decline immediately following completion of chemotherapy showed persistent cognitive decline 1 year later. Furthermore, recovery was not seen in all cognitive domains. In fact, the rebound was significant only for working memory. Longer multi-site studies are recommended to explore the risk factors for and the permanence of these longer-term cognitive effects. (JINS, 2013, 20, 1–10)

Studies assessing cognitive functioning in women treated for breast cancer have used primarily standardized neuropsychological tests and examined accuracy and/or reaction time as outcome measures: they have been inconsistent in identifying the cognitive domains affected and the severity of deficits. In other contexts of neural development and disorders, measures of Intra-individual variability (IIV) have proven useful in identifying subtleties in performance deficits that are not captured by measures of central tendency. This article presents proof of concept that assessing IIV may also increase understanding of the cognitive effects of cancer treatment. We analyzed mean accuracy and reaction time, as well as IIV from 65 women with breast cancer and 28 age and education matched controls who performed the Conner's Continuous Performance Test, a “Go-NoGo” task. Although there were no significant differences between groups using measures of central tendency, there was a group × inter-stimulus interval (ISI) interaction for IIV Dispersion (p < .001). Patient Dispersion was more variable at shorter ISI than controls and less variable at long ISI, suggesting greater sensitivity to presentation speed. Interpretation of IIV differences requires further investigation. Our results suggest that future studies would benefit from designs that allow analysis of IIV measures in studies assessing cognition in cancer survivors. (JINS, 2014, 20, 1–11)

Advances in breast cancer (BC) treatments have resulted in significantly improved survival rates. However, BC chemotherapy is often associated with several side effects including cognitive dysfunction. We applied multivariate pattern analysis (MVPA) to functional magnetic resonance imaging (fMRI) to find a brain connectivity pattern that accurately and automatically distinguishes chemotherapy-treated (C+) from non-chemotherapy treated (C−) BC females and healthy female controls (HC). Twenty-seven C+, 29 C−, and 30 HC underwent fMRI during an executive-prefrontal task (Go/Nogo). The pattern of functional connectivity associated with this task discriminated with significant accuracy between C+ and HC groups (72%, p = .006) and between C+ and C− groups (71%, p = .012). However, the accuracy of discrimination between C− and HC was not significant (51%, p = .46). Compared with HC, behavioral performance of the C+ and C− groups during the task was intact. However, the C+ group demonstrated altered functional connectivity in the right frontoparietal and left supplementary motor area networks compared to HC, and in the right middle frontal and left superior frontal gyri networks, compared to C−. Our results provide further evidence that executive function performance may be preserved in some chemotherapy-treated BC survivors through recruitment of additional neural connections. (JINS, 2013, 19, 1–11)

Impairments in learning and recall have been well established in amnestic mild cognitive impairment (aMCI). However, a relative dearth of studies has examined the profiles of memory strategy use in persons with aMCI relative to those with Alzheimer's disease (AD). Participants with aMCI, nonamnestic MCI, AD, and healthy older adults were administered the California Verbal Learning Test-II (CVLT-II). Measures of semantic clustering and recall were obtained across learning and delayed recall trials. In addition, we investigated whether deficits in semantic clustering were related to progression from healthy aging to aMCI and from aMCI to AD. The aMCI group displayed similar semantic clustering performance as the AD participants, whereas the AD group showed greater impairments on recall relative to the aMCI participants. Control participants who progressed to aMCI showed reduced semantic clustering at the short delay at baseline compared to individuals who remained diagnostically stable across follow-up visits. These findings show that the ability to engage in an effective memory strategy is compromised in aMCI, before AD has developed, suggesting that disruptions in semantic networks are an early marker of the disease. (JINS, 2014, 20, 1–11)

Patterns of verbal fluency deficits have been explored across different neurodegenerative disorders. This study sought to investigate the specific pattern of verbal fluency performance in cerebral small vessel disease (SVD), which is the most common cause of vascular cognitive impairment, and compare this with Alzheimer's disease (AD). Participants with SVD (n = 45), AD (n = 24) and healthy controls (n = 80) completed assessments of semantic and phonemic fluency. Mixed-model analyses of covariance were used to compare performance on the different fluency tasks between the groups, and a discriminant function analysis was conducted to examine group differentiation. The SVD group was impaired in both fluency tasks when compared to the controls. In contrast, the AD group displayed impairment in semantic fluency only. Discriminant function analysis revealed that fluency scores correctly classified 80% of SVD patients and 92% of AD patients. The pattern of performance observed in the SVD group may reflect deficits in executive function and processing speed impacting equivalently on semantic and phonemic fluency. The differences between the SVD and AD groups highlighted in this study may be useful for distinguishing between these conditions. (JINS, 2014, 20, 1–9)

The relative influence of amyloid burden, neuronal structure and function, and prior cognitive performance on prospective memory decline among asymptomatic late middle-aged individuals at risk for Alzheimer's disease (AD) is currently unknown. We investigated this using longitudinal cognitive data from 122 middle-aged adults (21 “Decliners” and 101 “Stables”) enrolled in the Wisconsin Registry for Alzheimer's Prevention who underwent multimodality neuroimaging [11C-Pittsburgh Compound B (PiB), 18F-fluorodeoxyglucose (FDG), and structural/functional magnetic resonance imaging (fMRI)] 5.7 ± 1.4 years (range = 2.9–8.9) after their baseline cognitive assessment. Covariate-adjusted regression analyses revealed that the only imaging measure that significantly distinguished Decliners from Stables (p = .027) was a Neuronal Function composite derived from FDG and fMRI. In contrast, several cognitive measures, especially those that tap episodic memory, significantly distinguished the groups (p's<.05). Complementary receiver operating characteristic curve analyses identified the Brief Visuospatial Memory Test-Revised (BVMT-R) Total (.82 ± .05, p < .001), the BVMT-R Delayed Recall (.73 ± .06, p = .001), and the Reading subtest from the Wide-Range Achievement Test-III (.72 ± .06, p = .002) as the top three measures that best discriminated the groups. These findings suggest that early memory test performance might serve a more clinically pivotal role in forecasting future cognitive course than is currently presumed. (JINS, 2014, 20, 1–12)

Visuospatial attention-networks are represented in both hemispheres, with right-hemisphere dominance in adults. Little is known about the lateralization of the attentional-networks in children. To assess the lateralization of attentional-networks in children aged 5 years, performance on a Lateralized-Attention-Network-Test specifically designed for children (LANT-C) was compared with performance on the Attention-Network-Test for children (ANT-C). Participants were 82 children, aged 5–6 years (55% boys, middle–class, mainstream schooling). They were examined with both the ANT-C and the LANT-C along with evaluation of intelligence and attention questionnaires. Multiple analysis of variance showed a main effect for network, with high efficiency for orienting and lower executive efficiency (accuracy; p < .001; η2 = .282). An effect for procedure, elucidated higher efficiency in the ANT-C relatively to the LANT-C (accuracy; p < .01; η2 = .097). A procedure × network interaction effect was also found, showing that this procedure difference is present in the alerting and executive networks (accuracy; p < .05; η2 = .096). LANT-C analysis showed a left visual-field advantage in alerting, (accuracy; p < .05; η2 = .066), while executing with the right hand benefitted executive performance (response-time; p < .05; η2 = .06). Results extend previous findings manifesting a right-hemisphere advantage in children's alerting-attention, pointing to the importance of lateralization of brain function to the understanding of the integrity of attention-networks in children. (JINS, 2014, 20, 1–10)

There is continuing debate about long-term effects of brain injury. We examined a range of traumatic brain injury (TBI) variables (TBI history, severity, frequency, and age of injury) as predictors of cognitive outcome over 8 years in an adult population, and interactions with apolipoprotein E (APOE) genotype, sex, and age cohorts. Three randomly sampled age cohorts (20–24, 40–44, 60–64 years at baseline; N = 6333) were each evaluated three times over 8 years. TBI variables, based on self-report, were separately modeled as predictors of cognitive performance using linear mixed effects models. TBI predicted longitudinal cognitive decline in all three age groups. APOE ε4+ genotypes in the young and middle-aged groups predicted lower baseline cognitive performance in the context of TBI. Baseline cognitive performance was better for young females than males but this pattern reversed in middle age and old age. The findings suggest TBI history is associated with long-term cognitive impairment and decline across the adult lifespan. A role for APOE genotype was apparent in the younger cohorts but there was no evidence that it is associated with impairment in early old age. The effect of sex and TBI on cognition varied with age cohort, consistent with a proposed neuroprotective role for estrogen. (JINS, 2014, 20, 444–454)

Cognitive remediation is a promising pathway for ameliorating cognitive impairment of patients with schizophrenia. Here, we investigate predictors of improvement in problem-solving ability for two different types of cognitive remediation – specific problem-solving training and training of basic cognition. For this purpose we conducted a re-analysis of a randomized controlled trial comparing these two training approaches. The main outcome measure was improvement in problem-solving performance. Correlational analyses were used to assess the contribution of clinical, cognitive and training-related predictors. In the problem-solving training group, impaired pre-training planning ability was associated with stronger improvement. In contrast, in the basic cognition training group antipsychotic medication dose emerged as a negative predictor. These results demonstrate that predictors for successful cognitive remediation depend on the specific intervention. Furthermore, our results suggest that at least in the planning domain patients with impaired performance benefit particularly from a specific intervention. (JINS, 2014, 20, 1–6)