Representation of reward value involves a distributed network including cortical and subcortical structures. Because neurodegenerative illnesses target specific anatomic networks that partially overlap with the reward circuit, they would be predicted to have distinct impairments in reward processing. This review presents the existing evidence of reward processing changes in neurodegenerative diseases including mild cognitive impairment (MCI), Alzheimer's disease, frontotemporal dementia, amyotrophic lateral sclerosis (ALS), Parkinson's disease, and Huntington's disease, as well as in healthy aging. Carefully distinguishing the different aspects of reward processing (primary rewards, secondary rewards, reward-based learning, and reward-based decision-making) and using tasks that differentiate the stages of processing reward will lead to improved understanding of this fundamental process and clarify a contributing cause of behavioral change in these illnesses.

Representation of reward value involves a distributed network including cortical and subcortical structures. Because neurodegenerative illnesses target specific anatomic networks that partially overlap with the reward circuit, they would be predicted to have distinct impairments in reward processing. This review presents the existing evidence of reward processing changes in neurodegenerative diseases including mild cognitive impairment (MCI), Alzheimer's disease, frontotemporal dementia, amyotrophic lateral sclerosis (ALS), Parkinson's disease, and Huntington's disease, as well as in healthy aging. Carefully distinguishing the different aspects of reward processing (primary rewards, secondary rewards, reward-based learning, and reward-based decision-making) and using tasks that differentiate the stages of processing reward will lead to improved understanding of this fundamental process and clarify a contributing cause of behavioral change in these illnesses.

Cognitive training is an emergent approach that has begun to receive increased attention in recent years as a non-pharmacological, cost-effective intervention for Alzheimer's disease (AD). There has been increasing behavioral evidence regarding training-related improvement in cognitive performance in early stages of AD. Although these studies provide important insight about the efficacy of cognitive training, neuroimaging studies are crucial to pinpoint changes in brain structure and function associated with training and to examine their overlap with pathology in AD. In this study, we reviewed the existing neuroimaging studies on cognitive training in persons at risk of developing AD to provide an overview of the overlap between neural networks rehabilitated by the current training methods and those affected in AD. The data suggest a consistent training-related increase in brain activity in medial temporal, prefrontal, and posterior default mode networks, as well as increase in gray matter structure in frontoparietal and entorhinal regions. This pattern differs from the observed pattern in healthy older adults that shows a combination of increased and decreased activity in response to training. Detailed investigation of the data suggests that training in persons at risk of developing AD mainly improves compensatory mechanisms and partly restores the affected functions. While current neuroimaging studies are quite helpful in identifying the mechanisms underlying cognitive training, the data calls for future multi-modal neuroimaging studies with focus on multi-domain cognitive training, network level connectivity, and individual differences in response to training.

Objective

While traumatic brain injury (TBI) is common across the life span, the detailed neurobehavioral characteristics of older adults with prior TBI remain unclear. Our goal was to compare the clinical profile of older independently living veterans with and without prior TBI.

Setting

Two veterans' retirement communities.

Participants

Seventy-five participants with TBI and 71 without (mean age = 78 years).

Design

Cross-sectional.

Main measures

TBI history was determined by the Ohio State University TBI Questionnaire. We assessed psychiatric and medical history via interviews and chart review and conducted measures assessing functional/lifestyle, psychiatric, and cognitive outcomes. Regression analyses (adjusted for demographics, diabetes, prior depression, substance abuse, and site) were performed to compare between TBI and non-TBI participants.

Results

Compared with veterans without TBI, those with TBI had greater functional impairment (adjusted P = .05), endorsed more current depressive (adjusted P = .04) and posttraumatic stress disorder symptoms (adjusted P = .01), and had higher rates of prior depression and substance abuse (both adjusted Ps < .01). While composite memory and language scores did not differ between groups, participants with TBI performed worse on tests of executive functioning/processing speed (adjusted P = .01).

Conclusions

Our results suggest that TBI may have adverse long-term neurobehavioral consequences and that TBI-exposed adults may require careful screening and follow-up.

Frontotemporal dementia (FTD) is a progressive neurologic syndrome with diverse clinical presentations and attendant underlying pathologies. Psychiatric prodrome, neuropsychiatric symptoms and language difficulties are common in FTD, but the diversity of presentation raises unique diagnostic challenges that can significantly impact patient care and counsel for caregivers regarding clinical status and prognosis. While neuropsychiatric symptom measures are helpful, more sensitive assessments delineating the specific behavioral and linguistic deficits accompanying FTD are needed. Comprehensive clinical assessment in combination with evaluation of language, socio-emotional functioning, cognition and neuroimaging aid in accurate and early diagnosis and treatment planning. In what follows, we review each of the FTD syndromes, highlight current research investigating the cognitive, behavioral and socio-emotional deficits observed with this disease, address common diagnostic challenges and summarize best practices associated with management of FTD.

Executive functions refer to a constellation of higher-level cognitive abilities that enable goal-oriented behavior. The NIH EXAMINER battery was designed to assess executive functions comprehensively and efficiently. Performance can be summarized by a single score, the "Executive Composite," which combines measures of inhibition, set-shifting, fluency, and working memory. We evaluated the ecological validity of the Executive Composite in a sample of 225 mixed neurological patients and controls using the Frontal Systems Behavior Scale (FrSBe), an informant-based measure of real-world executive behavior. In addition, we investigated the neuroanatomical correlates of the Executive Composite using voxel-based morphometry in a sample of 37 participants diagnosed with dementia, mild cognitive impairment, or as neurologically healthy. The Executive Composite accounted for 28% of the variance in Frontal Systems Behavior Scale scores beyond age. Even after including two widely used executive function tests (Trails B and Stroop) as covariates, the Executive Composite remained a significant predictor of real-world behavior. Anatomically, poorer scores on the Executive Composite were associated with smaller right and left dorsolateral prefrontal volumes, brain regions critical for good executive control. Taken together, these results suggest that the Executive Composite measures important aspects of executive function not captured by standard measures and reflects the integrity of frontal systems.

Objectives

The aim of this study was to characterize the neuropsychological profile of lifetime traumatic brain injury (TBI) in older Veterans.

Methods

Participants were 169 older Veterans [mean age=79.1 years (range, 51-97 years), 89% male, 92% Caucasian], 88 with lifetime TBI and 81 without TBI, living in Veterans' retirement homes in independent residence. TBI history was ascertained with the Ohio State TBI Identification Method structured interview. Cognition was assessed with neuropsychological tests: Raw scores were converted to Z-scores compared to age-corrected normative data and combined into five domain composite Z-scores (attention/working memory, learning/memory, language, processing speed, executive functioning). We investigated the association between TBI and performance in each cognitive domain in linear mixed effects models, with and without adjustment for demographics, medical comorbidities, and psychiatric variables.

Results

Compared to those without TBI, older Veterans with TBI had greater deficits in processing speed (estimate=-.52; p=.01; f 2=.08 in fully adjusted model) and executive functioning (estimate=-.41; p=.02; f 2=.06 in fully adjusted model) but performed similarly in the attention/working memory, learning/memory, and language domains (all p>.05). TBI-associated deficits were most prominent among individuals with multiple mild TBIs and those with any moderate-to-severe TBI, but were not clearly present among those with single mild TBI.

Conclusions

The neuropsychological profile of lifetime TBI in older Veterans is characterized by slowed processing speed and executive dysfunction, especially among those with greater injury burden. This pattern may reflect long-standing deficits or a TBI-associated cognitive decline process distinct from Alzheimer's disease. (JINS, 2017, 23, 56-64).

Background

Cognitive deficits are presumed to be the primary driver of functional impairment in Alzheimer's disease (AD); however, functional impairment is likely multifactorially determined.

Objective

Our objective was to determine the relative contribution of neuropsychiatric symptoms in predicting ratings of functional status.

Methods

A total of 223 patients received routine neurological and neuropsychological evaluations and met criteria of probable AD dementia based on the McKhann criteria. Demographic, cognitive, and neuropsychiatric variables were entered in a hierarchical linear regression analysis to predict functional status as measured by the Functional Activities Questionnaire (FAQ).

Results

The total model explained 29.7% of the variance (p <  0.001) in FAQ. Importantly, neuropsychiatric variables explained 12.7% of the unique variance, with apathy and sleep as significant contributors.

Conclusion

Two neuropsychiatric variables, apathy and changes in sleep/nighttime behaviors, predicted ratings of functional status in AD patients independent of age, global cognition, memory and executive function measures, and depressive symptoms. These results highlight the importance of neuropsychiatric symptoms in understanding and potentially treating the functional limitations so prevalent in AD.

Objective

We examined verbal list memory in participants with pathology-confirmed or biomarker-supported diagnoses to clarify inconsistencies in comparative memory performance. We hypothesized that Alzheimer disease (AD) participants would show more rapid forgetting, whereas behavioral-variant frontotemporal dementia (bvFTD) participants would show a more dysexecutive pattern. We also explored differences in medial temporal volumes, and relative frontal and medial temporal area contributions to memory consolidation.

Participants and methods

Participants had clinical diagnoses of AD and bvFTD who were pathologically confirmed at autopsy or supported with Pittsburgh compound B amyloid imaging. We used cognitive and imaging data collected at baseline visits for a sample of 26 participants with AD (mean age=63.7, education=16.2, Clinical Dementia Rating=0.8), 25 participants with bvFTD (mean age=60.7; education=15.7; CRD=1.1), and 25 healthy controls (mean age=65.6; education=17.5; Clinical Dementia Rating=0.2).

Results and conclusions

AD participants showed more rapid forgetting than bvFTD, and both groups showed more rapid forgetting than controls. In contrast, bvFTD did not conform to a more dysexecutive pattern of performance as patient groups committed similar number of intrusion errors and showed comparably low rates of improvement on cued recall and recognition trials. For patients with neuroimaging, there were no group differences in medial temporal volumes, which was the only significant predictor of consolidation for both dementia groups.