Human neuroimaging studies of reward processing typically involve tasks that engage decision-making processes in the dorsal striatum or focus upon the ventral striatum’s response to feedback expectancy. These studies are often compared to the animal literature; however, some animal studies include both feedback and nonfeedback events that activate the dorsal striatum during feedback expectancy. Differences in task parameters, movement complexity, and motoric effort to attain rewards may partly explain ventral and dorsal striatal response differences across species. We, therefore, used a target capture task during functional neuroimaging that was inspired by a study of single cell modulation in the internal globus pallidus during reward-cued, rotational arm movements in nonhuman primates. In this functional magnetic resonance imaging study, participants used a fiberoptic joystick to make a rotational response to an instruction stimulus that indicated both a target location for a capture movement and whether or not the trial would end with feedback indicating either a small financial gain or a neutral outcome. Portions of the dorsal striatum and pallidum demonstrated greater neural activation to visual cues predicting potential gains relative to cues with no associated outcome. Furthermore, both striatal and pallidal regions displayed a greater response to financial gains relative to neutral outcomes. This reward-dependent modulation of dorsal striatal and pallidal activation in a target-capture task is consistent with findings from reward studies in animals, supporting the use of motorically complex tasks as translational paradigms to investigate the neural substrates of reward expectancy and outcome in humans. (JINS, 2015, 21, 399–411)

To examine the association between reasoning through medical treatment decisions and cognition in a sample of patients with brain metastasis. The association between reasoning and cognition was examined using data from 41 patients with diagnosed brain metastasis. All diagnoses were made by a board-certified radiation oncologist and were verified histologically. In total, 41 demographically matched, cognitively healthy controls were also included to aid in classifying patients with brain metastasis according to reasoning status (i.e., intact or impaired). Results indicate that measures of episodic memory and processing speed were associated with reasoning. Using these two predictors, actuarial equations were constructed that can be used to help screen for impaired reasoning ability in patients’ with brain metastasis. The equations presented in this study have clinical significance as they can be used to help identify patients at risk for possessing a diminished ability to reason through medical treatment decisions and, thus, are in need of a more comprehensive evaluation of their medical decision-making capacity. (JINS, 2015, 21, 412–418)

Individuals with amnestic mild cognitive impairment (aMCI) show minor decrements in their instrumental activities of daily living (IADL). Sensitive measures of IADL performance are needed to capture the mild difficulties observed in aMCI groups. Routine naturalistic actions (NAs) are familiar IADL-type activities that require individuals to enact everyday tasks such as preparing coffee. In the current study we examined the extent to which NAs could be used to help facilitate differential diagnosis of aMCI relative to composite measures of episodic memory, semantic knowledge, and executive function. Healthy older adults (n=24) and individuals with aMCI (n=24) enacted two highly familiar NAs and completed tests of episodic memory, semantic knowledge, and executive function. Binary logistic regression was used to predict group membership (aMCI vs. control participants). The regression analyses indicated that NA performance could reliably predict group membership, over and above measures of cognitive functioning. These findings indicated that NA performance can be used to help facilitate differential diagnosis of healthy aging and aMCI and used as an outcome measure in intervention studies. (JINS, 2015, 21, 419–428)

The objective of this study was to describe the neuropsychological profiles of the three variants of primary progressive aphasia (PPA). Based on a comprehensive speech and language evaluation, 91 subjects were classified as logopenic (lvPPA=51), semantic (svPPA=13), or agrammatic (agPPA=27). All subjects completed a separate neuropsychological evaluation assessing verbal and visual memory, processing speed, executive function, and visuospatial function. The groups did not differ on demographic variables or on measures of disease duration or aphasia severity. There were group differences on aspects of learning and memory, as well as aspects of executive and visuospatial functions, primarily with the lvPPA group performing lower than the agPPA and svPPA groups. The agPPA group showed subtle deficits consistent with frontal lobe impairment, whereas neurocognitive weaknesses in the svPPA group were restricted to temporal lobe functions. The pattern of neurocognitive dysfunction in lvPPA suggests disease involvement of frontal lobe functions in addition to temporoparietal functions. These neurocognitive findings emphasize the value of a comprehensive neuropsychological evaluation of individuals who present with primary language disturbance, given the pattern of cognitive deficits may provide additive information for differentiating these clinical syndromes. (JINS, 2015, 21, 429–435)

Social cognition, referring to one’s ability to perceive and process social cues, is an important domain in schizophrenia. Numerous studies have demonstrated that patients with schizophrenia have poorer performance on tests assessing social cognition relative to healthy comparison participants. However, whether variables such as motivation are related to performance on these tests in patients with schizophrenia is unclear. One thousand three-hundred and seventy-eight patients with schizophrenia completed the Facial Emotion Discrimination Task as a measure of emotional processing, a key facet of social cognition. Level of motivation was also evaluated in these patients using a derived measure from the Quality of Life Scale. The relationship between motivation and task performance was examined using bivariate correlations and logistic regression modeling, controlling for the impact of age and overall severity of psychopathology, the latter evaluated using the Positive and Negative Syndrome Scale. Motivation was positively related to performance on the social cognition test, and this relationship remained significant after controlling for potential confounding variables such as age and illness severity. Social cognition was also related to functioning, and the relationship was mediated by level of motivation. The present study found a significant relationship between motivation and performance on a test of social cognition in a large sample of patients with schizophrenia. These findings suggest that amotivation undermines task performance, or alternatively that poor social cognitive ability impedes motivation. Future studies evaluating social cognition in patients with schizophrenia should concurrently assess for variables such as effort and motivation. (JINS, 2015, 21, 436–443)

The aim of this study was to compare sensory processing in typically developing children (TDC), children with Autism Spectrum Disorder (ASD), and those with sensory processing dysfunction (SPD) in the absence of an ASD. Performance-based measures of auditory and tactile processing were compared between male children ages 8–12 years assigned to an ASD (N=20), SPD (N=15), or TDC group (N=19). Both the SPD and ASD groups were impaired relative to the TDC group on a performance-based measure of tactile processing (right-handed graphesthesia). In contrast, only the ASD group showed significant impairment on an auditory processing index assessing dichotic listening, temporal patterning, and auditory discrimination. Furthermore, this impaired auditory processing was associated with parent-rated communication skills for both the ASD group and the combined study sample. No significant group differences were detected on measures of left-handed graphesthesia, tactile sensitivity, or form discrimination; however, more participants in the SPD group demonstrated a higher tactile detection threshold (60%) compared to the TDC (26.7%) and ASD groups (35%). This study provides support for use of performance-based measures in the assessment of children with ASD and SPD and highlights the need to better understand how sensory processing affects the higher order cognitive abilities associated with ASD, such as verbal and non-verbal communication, regardless of diagnostic classification. (JINS, 2015, 21, 444–454)

A symptom of mild cognitive impairment (MCI) and Alzheimer’s disease(AD) is a flat learning profile. Learning slope calculation methods vary, andthe optimal method for capturing neuroanatomical changes associated with MCI andearly AD pathology is unclear. This study cross-sectionally compared fourdifferent learning slope measures from the Rey Auditory Verbal Learning Test(simple slope, regression-based slope, two-slope method, peak slope) tostructural neuroimaging markers of early AD neurodegeneration (hippocampalvolume, cortical thickness in parahippocampal gyrus, precuneus, and lateralprefrontal cortex) across the cognitive aging spectrum [normalcontrol (NC); (n=198;age=76±5), MCI (n=370;age=75±7), and AD (n=171;age=76±7)] in ADNI. Within diagnostic group,general linear models related slope methods individually to neuroimagingvariables, adjusting for age, sex, education, and APOE4 status. Among MCI,better learning performance on simple slope, regression-based slope, and lateslope (Trial 2–5) from the two-slope method related to largerparahippocampal thickness (all p-values<.01) andhippocampal volume (p<.01). Better regression-basedslope (p<.01) and late slope(p<.01) were related to larger ventrolateralprefrontal cortex in MCI. No significant associations emerged between any slopeand neuroimaging variables for NC (p-values ≥.05) orAD (p-values ≥.02). Better learning performancesrelated to larger medial temporal lobe (i.e., hippocampal volume,parahippocampal gyrus thickness) and ventrolateral prefrontal cortex in MCIonly. Regression-based and late slope were most highly correlated withneuroimaging markers and explained more variance above and beyond other commonmemory indices, such as total learning. Simple slope may offer an acceptablealternative given its ease of calculation. (JINS, 2015,21, 455–467)

Given the substantial overlap in cognitive dysfunction between bipolar disorder (BD) and schizophrenia (SZ), we examined the utility of the MATRICS Consensus Cognitive Battery (MCCB)—developed for use in SZ—for the measurement of cognition in patients with BD with psychosis (BDP) and its association with community functioning. The MCCB, Multnomah Community Ability Scale, and measures of clinical symptoms were administered to participants with BDP (n=56), SZ (n=37), and healthy controls (HC) (n=57). Groups were compared on clinical and cognitive measures; linear regressions examined associations between MCCB and community functioning. BDP and SZ groups performed significantly worse than HC on most neurocognitive domains; BDP and HC did not differ on Social Cognition. Patients with BDP performed better than patients with SZ on most cognitive measures, although groups only differed on social cognition, working memory, verbal memory, and the composite after controlling for clinical variables. MCCB was not associated with community functioning. The MCCB is an appropriate measure of neurocognition in BDP but does not appear to capture social cognitive deficits in this population. The addition of appropriate social cognitive measures is recommended. (JINS, 2015, 21, 468–472)