Symptom Attribution and Neuropsychological Outcomes Among Treatment-Seeking Veterans With a History of Traumatic Brain Injury.

OBJECTIVE: In this cross-sectional study, the authors aimed to examine relationships between illness perception, measured as symptom attribution, and neurobehavioral and neurocognitive outcomes among veterans with a history of traumatic brain injury (TBI). METHODS: This study included 55 treatment-seeking veterans (N=43 with adequate performance validity testing) with a remote history of TBI (80% with mild TBI). Veterans completed a clinical interview, self-report questionnaires, and a neuropsychological assessment. A modified version of the Neurobehavioral Symptom Inventory (NSI) was administered to assess neurobehavioral symptom endorsement and symptom attribution. Composite scores were calculated from standardized cognitive tests to assess specific aspects of objective cognitive functioning, including memory, executive functioning, attention and working memory, and processing speed. RESULTS: The symptoms most frequently attributed to TBI included forgetfulness, poor concentration, slowed thinking, and headaches. There was a significant positive association between symptom attribution and overall symptom endorsement (NSI total score) (r=0.675) and endorsement of specific symptom domains (NSI symptom domain scores) (r=0.506-0.674), indicating that greater attribution of symptoms to TBI was associated with greater symptom endorsement. Furthermore, linear regressions showed that symptom attribution was significantly associated with objective cognitive functioning, whereas symptom endorsement generally did not show this relationship. Specifically, greater attribution of symptoms to TBI was associated with worse executive functioning (ß=-0.34), attention and working memory (ß=-0.43), and processing speed (ß=-0.35). CONCLUSIONS: These findings suggest that veterans who routinely attribute neurobehavioral symptoms to their TBI are at greater risk of experiencing poor long-term outcomes, including elevated symptom endorsement and worse objective cognition. Although more research is needed to understand how illness perception influences outcomes in this population, these preliminary results highlight the importance of early psychoeducation regarding the anticipated course of recovery following TBI.

Network analysis of neuropsychiatric symptoms in Alzheimer's disease.

BACKGROUND: Neuropsychiatric symptoms due to Alzheimer's disease (AD) and mild cognitive impairment (MCI) can decrease quality of life for patients and increase caregiver burden. Better characterization of neuropsychiatric symptoms and methods of analysis are needed to identify effective treatment targets. The current investigation leveraged the National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDS) to examine the network structure of neuropsychiatric symptoms among symptomatic older adults with cognitive impairment. METHODS: The network relationships of behavioral symptoms were estimated from Neuropsychiatric Inventory Questionnaire (NPI-Q) data acquired from 12,494 older adults with MCI and AD during their initial visit. Network analysis provides insight into the relationships among sets of symptoms and allows calculation of the strengths of the relationships. Nodes represented individual NPI-Q symptoms and edges represented the pairwise dependency between symptoms. Node centrality was calculated to determine the relative importance of each symptom in the network. RESULTS: The analysis showed patterns of connectivity among the symptoms of the NPI-Q. The network (M = .28) consisted of mostly positive edges. The strongest edges connected nodes within symptom domain. Disinhibition and agitation/aggression were the most central symptoms in the network. Depression/dysphoria was the most frequently endorsed symptom, but it was not central in the network. CONCLUSIONS: Neuropsychiatric symptoms in MCI and AD are highly comorbid and mutually reinforcing. The presence of disinhibition and agitation/aggression yielded a higher probability of additional neuropsychiatric symptoms. Interventions targeting these symptoms may lead to greater neuropsychiatric symptom improvement overall. Future work will compare neuropsychiatric symptom networks across dementia etiologies, informant relationships, and ethnic/racial groups, and will explore the utility of network analysis as a means of interrogating treatment effects.

Network Analysis of Neuropsychiatric Symptoms in Alzheimer's Disease.

Background: Neuropsychiatric symptoms due to Alzheimer's disease (AD) and mild cognitive impairment (MCI) can decrease quality of life for patients and increase caregiver burden. Better characterization of neuropsychiatric symptoms and methods of analysis are needed to identify effective treatment targets. The current investigation leveraged the National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDS) to examine the network structure of neuropsychiatric symptoms among symptomatic older adults with cognitive impairment. Methods: The network relationships of behavioral symptoms was estimated from Neuropsychiatric Inventory Questionnaire (NPI-Q) data acquired from 12,494 older adults with MCI and AD during their initial visit. Network analysis provides insight into the relationships among sets of symptoms and allows calculation of the strengths of the relationships. Nodes represented individual NPI-Q symptoms and edges represented the pairwise dependency between symptoms. Node centrality was calculated to determine the relative importance of each symptom in the network. Results: The analysis showed patterns of connectivity among the symptoms of the NPI-Q. The network ( M =.28) consisted of mostly positive edges. The strongest edges connected nodes within symptom domain. Disinhibition and agitation/aggression were the most central symptoms in the network. Depression/dysphoria was the most frequently endorsed symptom, but it was not central in the network. Conclusions: Neuropsychiatric symptoms in MCI and AD are highly comorbid and mutually reinforcing. The presence of disinhibition and agitation/aggression yielded a higher probability of additional neuropsychiatric symptoms. Interventions targeting these symptoms may lead to greater neuropsychiatric symptom improvement overall. Future work will compare neuropsychiatric symptom networks across dementia etiologies, informant relationships, and ethnic/racial groups, and will explore the utility of network analysis as a means of interrogating treatment effects.

Changes in ImPACT Cognitive Subtest Networks Following Sport-Related Concussion.

OBJECTIVE: High school athletes are administered ImPACT at the start of the academic year or sport season and again after suspected concussion. Concussion management involves the comparison of baseline and post-injury cognitive scores with declines in scores providing evidence for concussive injury. A network framework may provide additional information about post-concussive cognitive changes and expand characterization of sport-related concussion (SRC) recovery. DESIGN: Retrospective cohort study. SETTING: High school. PARTICIPANTS: High school athletes (n = 1553) were administered ImPACT at baseline (T1), post-SRC (T2 = 72 h of injury), and prior to return to play (T3 = within two weeks post-injury). INDEPENDENT VARIABLES: ImPACT cognitive subtest scores. MAIN OUTCOME MEASURES: Cognitive networks were calculated and compared over three time points. Centrality indices were calculated to determine the relative importance of cognitive variables within networks. RESULTS: Network connectivity increased from T1 to T2 and remained hyperconnected at T3. There was evidence of network reorganization between T1 and T3. Processing speed was central within each network, and visual memory and impulsivity became more central over time. CONCLUSIONS: The results suggest potential evidence of cognitive network change over time. Centrality findings suggest research specific to visual memory and impulse control difficulties during the post-concussion recovery period is warranted. Network analysis may provide additional information about cognitive recovery following SRC and could potentially serve as an effective means of monitoring persisting cognitive symptoms after concussion.

Characterizing the Network Structure of Post-Concussion Symptoms.

OBJECTIVE: Assessment of post-concussion symptoms is implemented at secondary, post-secondary, and professional levels of athletics. Network theory suggests that disorders can be viewed as a set of interacting symptoms that amplify, reinforce, and maintain one another. Examining the network structure of post-concussion symptoms may provide new insights into symptom comorbidity and may inform targeted treatment. We used network analysis to examine the topology of post-concussion symptoms using the Post-Concussion Symptom Scale (PCSS) in high school athletes with recent suspected sport-related concussion. METHOD: Using a cross-sectional design, the network was estimated from Post Concussion Symptom Scale scores from 3,292 high school athletes, where nodes represented symptoms and edges represented the association between symptoms. Node centrality was calculated to determine the relative importance of each symptom in the network. RESULTS: The network consisted of edges within and across symptom domains. "Difficulty concentrating" and "dizziness" were the most central symptoms in the network. Although not highly central in the network, headaches were the highest rated symptom. CONCLUSIONS: The interconnectedness among symptoms supports the notion that post-concussion symptoms are interrelated and mutually reinforcing. Given their central role in the network, "difficulty concentrating" and "dizziness" are expected to affect the activation and persistence of other post-concussion symptoms. Interventions targeting difficulties with concentration and dizziness may help alleviate other symptoms. Our findings could inform the development of targeted treatment with the aim of reducing overall symptom burden. Future research should examine the trajectory of post-concussion symptom networks to advance the clinical understanding of post-concussive recovery.

A systematic review and meta-analysis of factors influencing ImPACT concussion testing in high school and collegiate athletes with self-reported ADHD and/or LD.

OBJECTIVE: Sport concussion is a common injury, and athletes with attention-deficit/hyperactivity disorder (ADHD) and/or learning disorder (LD) are at increased risk and require specialized attention in clinical settings. Although systematic reviews of the relationship between ADHD/LD and concussion are reported in the literature, these reviews do not include quantitative syntheses. Additionally, no reviews have focused on the most commonly utilized concussion assessment, Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT). The current review provides an update of sport concussion assessment in athletes with ADHD and/or LD from 2000 to 2021 on these topics: baseline and postconcussion performance on ImPACT, baseline and postconcussion symptom reporting using the Postconcussion Symptom Scale, invalid baseline classification on ImPACT, and self-reported history of concussion. METHOD: Meta-analyses were conducted on baseline ImPACT performance, symptom reporting, invalid baseline classification, and concussion rates. Thirty-four studies were included in systematic review and 19 were included in meta-analyses. RESULTS: Decreased baseline performance was found for athletes with ADHD (trivial to small effects), LD (small-to-medium effects), and ADHD/LD (small-to-medium effects). Increased baseline symptom reporting was found for athletes with ADHD (small effect). Increased odds of invalid baseline performance (trivial effect) and self-reported concussion history (small effect) were found in ADHD. CONCLUSIONS: These results provide the first quantitative synthesis of the literature in this area. It is recommended that future research further examines these topics in athletes with LD and co-occurring ADHD/LD (given the focus on ADHD), as well as the effects that all of these conditions may have on concussion recovery and return-to-play decision-making. (PsycInfo Database Record (c) 2023 APA, all rights reserved).