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Depression is a mood or emotional state that is characterized by feelings of sadness (i.e., a loss of interest in activities, low self-worth) for a minimum of two weeks. Executive function is a set of mental processes that are necessary for cognitive control of behavior to achieve and successfully execute a specific goal (e.g., inhibition). Researchers have reported that people with abnormal symptoms of depression (ASD) demonstrate worse executive functioning abilities (e.g., planning) compared to persons with normal symptoms of depression (NSD). Currently, there is a lack of research studies examining how depressive symptoms influence executive functioning in people that identify as Mexican. The purpose of the present study was to evaluate the influence of depression on executive functioning in a healthy Mexican Spanish speaking population. We hypothesized that participants with NSD would demonstrate better executive functioning abilities compared to participants with ASD.
Participants and Methods:
The sample in the present study consisted of 87 neurologically and psychologically healthy Mexican participants all residing in Mexico. Mean age was 24.71 (SD = 9.66) and 14.78 (SD = 4.50) years of education completed. Participants completed a neuropsychological battery in Spanish and were divided into two groups: NSD (n = 61) and ASD (n = 26). The Stroop Color Word Test - Color-Word (SCWT-CW) task, phonemic verbal fluency task consisting of three trials, and semantic verbal fluency task consisting of one trial were used to evaluate executive functioning. In addition, participants completed the Hospital Anxiety and Depression Scale in Spanish to report the current level of depression. ANCOVAS, controlling for age were used to examine executive functioning performance. We used a threshold of p < .05 for statistical significance.
Results:
ANCOVAS revealed the NSD group outperformed the ASD group on the SCWT-CW task, p = .004, np2 = .10. We also found the NSD group outperformed the ASD group on the phonemic verbal fluency task, p = .045, np2 = .05. Finally, no significant differences were found between depression groups on the semantic verbal fluency task.
Conclusions:
As we predicted, the NSD group demonstrated better executive functioning abilities compared to the ASD group, except on the semantic verbal fluency task. Our data suggests that the current level of depression have a significant influence on verbal executive functioning abilities in a Spanish speaking population. Future studies with larger sample size should evaluate if current symptoms of depression influence non-verbal executive functioning abilities in a Spanish speaking Mexican population.
Research suggests greater perceived social support is associated with better general cognitive function in community-dwelling older adults. While these findings expand our understanding of the role of social support in healthy aging, further work is needed to investigate the role of social support in mild cognitive impairment (MCI). Of particular interest is the relationship between executive function (EF), communicative effectiveness, and social support, as these are common areas of decline and are likely to impact one’s ability to meaningfully interact with others. The present study aimed to evaluate the association between perceived social support, EF, and communicative effectiveness. We hypothesize better EF performance and communicative effectiveness would be associated with higher levels of perceived social support in older adults with MCI.
Participants and Methods:
One hundred and twenty-one older adults with MCI were included in the current study. All participants were enrolled in Charles and Harriett Schaffer Cognitive Empowerment Program (CEP) at Emory University, a comprehensive lifestyle program for individuals diagnosed with MCI and their care partners. Upon CEP enrollment, participants completed self-report questionnaires, including the Multidimensional Scale of Perceived Social Support (MSPSS), the Communicative Effectiveness Index (CETI), and EF assessments including Letter Fluency (phonemic fluency), Digit Span Backward (working memory), and the Test of Practical Judgment (decision making). Additionally, a subset of participants completed the written Trail Making Test - Part B (set-shifting; n = 63). Pearson bivariate correlations were utilized to explore the relationship between MSPSS, CETI, and EF performance.
Results:
Higher levels of perceived social support were significantly associated with communicative effectiveness (r = .210, p = .021), such that participants who endorsed having more social support also reported greater confidence in their communicative effectiveness. Perceived social support was associated with better working memory performance (r = .342, p < .001), phonemic fluency output (r = .261, p = .041), and shorter time to complete TMT-B (r = -.244, p = .052), indicating individuals with higher perceived social support demonstrated better EF abilities. Finally, greater confidence in communicative effectiveness was associated with better performances in working memory (r = .274; p = .008), phonemic fluency output (r = .213; p = .020) and decision making (r =.192; p = .044), suggesting stronger working memory, phonemic fluency, and practical decision-making abilities support better communicative effectiveness. There was no association between social support and practical decision-making abilities (r = .146, p = .129).
Conclusions:
The current findings demonstrate a link between higher levels of social support, communicative effectiveness, and EF abilities, particularly in the subdomains of working memory, phonemic fluency, and set-shifting. This link suggests individuals with stronger EF abilities may have greater communicative effectiveness and, in turn, may be better able to maintain social relationships and garner social support. Future research is needed to evaluate the causality in this relationship, as it remains possible those with stronger social support networks maintain communicative effectiveness and EF for longer. Thus, further evaluation of the mechanism(s) underlying the relationships between social support, EF, and communicative effectiveness is needed.
Cognitive deficits in patients diagnosed with schizophrenia are a core feature of the disorder. There are currently no treatments for these cognitive deficits. Our aim was to examine and compare patterns of increased versus decreased activity in the central executive network (CEN), salience network (SN), and default mode network (DMN) between healthy controls (HCs) and patients diagnosed with schizophrenia (SZs) as well as to explore the influence of task load on these networks between HCs and SZs.
Participants and Methods:
Analyses focused on a secondary dataset comprising Blood Oxygen-Level Dependent (BOLD) data collected from 25 HCs and 27 SZs who completed a working memory (WM) task (N-back) with 5 load conditions while undergoing functional magnetic resonance imaging (fMRI). Region of interest (ROI) data were analyzed using linear mixed-effects models.
Results:
Group activation differences were found in the posterior salience network (pSN), default mode network (DMN), dorsal default mode network (dDMN), and ventral default mode network (vDMN) showing greater activity for SZs. Specifically, pSN, DMN, dDMN, and vDMN all showed increased activity in SZs compared to HCs. The curve of brain activity was consistent between HCs and SZs with the exception of the vDMN, where HCs show greater activation at modest mental workload (quadratic curve) and SZs showed greater brain activation at lower mental workload (linear). In the CEN, there were no group differences, and the response curve was the same for both groups.
Conclusions:
These group differences demonstrate network difference between HCs and SZs and could show value in treatments targeting cognitive deficits in SZs from a large-scale brain network connectivity perspective. Future studies are needed to confirm these results with larger sample size in order to examine potential subtleties of interactions between these networks.
Mild traumatic brain injury (mTBI) is an important public health problem, due to its high incidence and the failure of at least 20% of patients to successfully recover from injury. Cognitive symptoms, in particular, are an important area of research in mTBI, due to their association with return to work and referral to neuropsychological services. Understanding the predictors of cognitive symptoms may help to improve outcomes after mTBI. This study explored female sex, psychological distress, coping style and illness perceptions as potential predictors of cognitive symptoms following adult civilian mTBI.
Participants and Methods:
Sixty-nine premorbidly healthy adults with mTBI (mean age = 36.7, SD = 14.7, range = 18-60; 15 females) were recruited from trauma wards at two public hospitals in Australia and assessed 6-12 weeks following injury. Cognitive complaint was measured using a comprehensive 30-item scale (CCAMCHI) assessing mTBI-specific symptoms in the domains of processing speed, attention, memory and executive function. Participants additionally completed the following measures: Brief-COPE, Illness Perceptions Questionnaire-Revised, Inventory of Depressive Symptomatology, Beck Anxiety Inventory, and PTSD Checklist for DSM-5. The latter three measures were combined to create an index of psychological distress.
Results:
Bivariate nonparametric correlational analyses indicated that female sex (r[67] = .26, 95% CI [.14, .55], p = .03) and psychological distress (r[66] = .54, 95% CI [.40, .72], p < .001) were each significantly associated with cognitive symptom reporting following mTBI. Additionally, while none of the three coping style factors were associated with cognitive symptom reporting, seven of the eight dimensions of illness perceptions were associated with symptom reporting (|r| = .25 - .58, p < 0.05). In a linear regression model assessing the combined effects of each variable, female sex, greater psychological distress, and overall negative illness perceptions were each significant independent predictors of increased cognitive complaint (adj. R2 = .47, F[4,63] = 15.59, p < .001).
Conclusions:
These findings implicate female sex, psychological distress, and illness perceptions as key factors associated with cognitive symptom reporting after mTBI. This research suggests that these factors may be useful in clinical practice when considering early identification of individuals at risk of poor recovery. Specifically, this research implicates females, individuals with high psychological distress, and individuals with negative illness perceptions as important to subgroups to consider for potential intervention after mTBI. Additionally, as psychological distress and illness perceptions are both potentially modifiable, this research suggests that these factors may be useful targets for intervention.
Older people with HIV (PWH) are at-risk for Alzheimer’s disease (AD) and its precursor, amnestic mild cognitive impairment (aMCI). Identifying aMCI among PWH is challenging because memory impairment is also common in HIV-associated neurocognitive disorders (HAND). The neuropathological hallmarks of aMCI/AD are amyloid-ß42 (Aß42) plaque and phosphorylated tau (p-tau) accumulation. Neurofilament light chain protein (NfL) is a marker of neuronal injury in AD and other neurodegenerative diseases. In this study, we assessed the prognostic value of the CSF AD pathology markers of lower Aß42, and higher p-tau, p-tau/Aß42 ratio, and NfL levels to identify an aMCI-like profile among older PWH and differentiating it from HAND. We assessed the relationship between aMCI and HAND diagnosis and AD biomarker levels
Participants and Methods:
Participants included 74 PWH (Mean age=48 [SD=8.5]; 87.4% male, 56.5% White) from the National NeuroAIDS Tissue Consortium (NNTC). CSF Aß42, Aß40, p-tau and NfL were measured by commercial immunoassay. Participants completed a neurocognitive evaluation assessing the domains of learning, recall, executive function, speed of information processing, working memory, verbal fluency, and motor. Memory domains were assessed with the Hopkins Verbal Learning Test-Revised and the Brief Visuospatial Memory Test-Revised, and aMCI was defined as impairment (<1.0 SD below normative mean) on two or more memory outcomes among HVLT-R and BVMT-R learning, delayed recall and recognition with at-least one recognition impairment required. HAND was defined as impairment (<1.0 SD below normative mean) in 2 or more cognitive domains. A series of separate linear regression models were used to examine how the levels of CSF p-tau, Aß42, p-tau/Aß42 ratio, and NfL relate to aMCI and HAND status while controlling for demographic variables (age, gender, race and education). Covariates were excluded from the model if they did not reach statistical significance.
Results:
58% percent of participants were diagnosed with HAND, 50.5% were diagnosed with aMCI. PWH with aMCI had higher levels of CSF p-tau/Aß42 ratio compared to PWH without aMCI (ß=.222, SE=.001, p=.043) while controlling for age (ß=.363, p=.001). No other AD biomarker significantly differed by aMCI or HAND status.
Conclusions:
Our results indicate that the CSF p-tau/Aß42 ratio relates specifically to an aMCI-like profile among PWH with high rates of cognitive impairment across multiple domains in this advanced HIV disease cohort. Thus, the p-tau/Aß42 ratio may have utility in disentangling aMCI from HAND and informing the need for further diagnostic procedures and intervention. Further research is needed to fully identify, among a broader group of PWH, who is at greatest risk for aMCI/AD and whether there is increased risk for aMCI/AD among PWH as compared to those without HIV.
While much research has demonstrated a relationship between depression and cognitive deficits, most studies have neglected to include measurements of performance validity. The very small number of studies that have examined this relationship when accounting for performance validity have found that the relationship between depression and cognition is small or nonsignificant. The current study examined the relationship between depression (assessed through both clinical interview and self-report symptom measures) and multiple domains of cognition after accounting for noncredible performance on neuropsychological testing.
Participants and Methods:
Participants were veterans referred for outpatient clinical evaluation. Among other tests that varied across patients, the neuropsychological battery included: California Verbal Learning Test - second edition (CVLT-II) total immediate recall across trials 1–5, short delay free recall, and long delay free recall; Trail Making Test; FAS and Animal Fluency; Rey–Osterrieth Complex Figure Test (ROCF) copy and 3-minute delay recall; and Wisconsin Card Sorting Test (WCST) categories completed, total errors, and percent perseverative errors. These tests represent domains that have previously been examined in relation to depression (e.g., memory, processing speed, executive functioning). Evaluations were conducted for clinical purposes, so that some individuals who were not administered certain tests have missing data. The first set of regression analyses (N=206) included age, sex, and education at Step 1, Beck Depression Inventory-2 (BDI-2) total score at Step 2, and pass or failure of Trial 1 of the Test of Memory Malingering (TOMM) at Step 3 as predictors of performance on the 12 test indices. The second set of regression analyses (N=559) mirrored the first but with Major Depressive Disorder (MDD) diagnosis at Step 2 instead.
Results:
In the first set of analyses, after including TOMM in the model, only the relationship between BDI-2 and verbal fluency remained significant, but did not survive Bonferroni correction (p<.004). In the second set of analyses, before including the TOMM, MDD diagnosis was significantly related only to worse performance on Trails A and CVLT-II Short and Long Delay Free Recall, with small effect sizes (rp=.06–.15). When TOMM Trial 1 was included in the model, MDD diagnosis became a nonsignificant predictor of CVLT-II Long Delay Free Recall but remained a significant predictor for Trails A and CVLT-II Short Delay Free Recall (p<.05). After Bonferroni correction (p<.004), with TOMM Trial 1 included in the model, MDD diagnosis remained a significant predictor only of CVLT-II Short Delay Free Recall, with a small effect size (rp=.17).
Conclusions:
After accounting for noncredible performance, there was little evidence for a relationship between depression diagnosis or symptoms and many cognitive domains. These results suggest that previously reported effects of depression on cognition are not mainly due to underlying neurological mechanisms, but rather to motivational factors. Future research could focus on the potential psychological mechanisms (e.g., negative attitudes, expectancy bias, low motivation, etc.) driving the relationship between depression and low effort on cognitive testing. If replicated, the current findings could be valuable to clinicians treating depressed individuals who have concerns about their cognitive functioning, by indicating psychoeducation and reassurance.
Cognitive dysfunction is a common non-motor symptom of Parkinson’s disease (PD). Cognitive decline in PD is likely associated with dysfunction in the cholinergic system, which is affected by synuclein pathology early in the disease course. Recent studies have shown an association between reduced integrity of the basal forebrain (BF), which provides cholinergic innervation to most of cortex, and diminished cognitive functioning in PD. Specifically, those with PD and reduced cholinergic innervation also have higher rates of cognitive impairment. However, no study has directly investigated the relationship between basal forebrain integrity and cortical cholinergic levels. In the present study, we examined this relationship through measures of basal forebrain microstructural integrity and cholinergic nerve terminal density in cortical and subcortical gray matter.
Participants and Methods:
Participants included 92 non-demented individuals with idiopathic PD (M:F=64:28; Age=67.0±7.1 yrs) who underwent structural MRI, diffusion MRI, and [18F] fluoroethoxybenzovesamicol (FEOBV) cholinergic PET imaging. We used a basal forebrain and region of interest defined by AssemblyNet, which uses ensembles of pretrained convolutional neural networks to create a full brain segmentation. Bilateral putamen from this atlas was also included as a control region. We measured microstructural integrity using free water fraction (FWF), a diffusion MRI-derived metric of extracellular water that associates with cellular density and neuroinflammation. For PET data, we computed the distribution volume ratio (DVR) by regions as defined by FreeSurfer. A factor analysis of DVR in all 88 FreeSurfer ROIs resulted in seven clusters of ROIs covering 1) widespread bilateral cortical regions (PC1); 2) subcortical and limbic regions (PC2); 3) bilateral cingulate regions (PC3); 4) left frontal regions (PC4); 5) right frontal and temporal regions (PC5); 6) cerebellum (PC6); and 7) bilateral entorhinal cortex and left temporal cortex (PC7). We performed seven separate regression analyses per ROI (controlling for age and disease duration) to evaluate the association between BF FWF and cholinergic levels in these regions. To determine if these ROIs showed unique associations with BF FWF, we then entered ROIs with a significant association with BF FWF as independent variables in a stepwise regression with forward selection with BF FWF as the dependent variable.
Results:
BF FWF was significantly and negatively associated with cholinergic levels in PC1 (AR2=.042, ß=-0.208, p=.04), PC3 (AR2=.044, ß=-0.206, p=.03), PC4 (AR2=.056, ß=-0.239, p=.02), and PC7 (ß=-0.215, p=.04). BF FWF trended towards a negative association with cholinergic levels in PC5 (AR2=.045, ß=-0.168, p=.09) and PC6 (ß=-0.188, p=.09). Putamen FWF did not significantly associate with any of the ROIs. In the follow-up stepwise regression, only PC4 contributed significantly to the overall model (AR2=.061, ß=-0.261, p=.02).
Conclusions:
Basal forebrain FWF was inversely related to cholinergic levels in regions that are directly innervated by the basal forebrain (e.g., cingulate cortex, left frontal cortex, and bilateral entorhinal cortex). Future research should directly investigate the relationship between basal forebrain integrity, cortical cholinergic levels, and cognition. Separating the basal forebrain into specific nuclei would also be beneficial, as different nuclei may have differing associations with specific hemispheric cholinergic pathways and cognition.
High levels of stress may increase risk for Alzheimer’s disease (AD) dementia. Religious coping practices to deal with stress (i.e., prayer, having faith, attending religious services) may reduce risk of dementia. Studying religious stress coping in cognitively unimpaired individuals with autosomal-dominant AD (ADAD), who will develop dementia later in life, may inform us about the role of religious coping in modifying the clinical trajectory from preclinical to clinical stages of the disease. We examined religious stress coping in cognitively unimpaired mutation carriers from the world’s largest ADAD kindred and its relation to markers of brain pathology and memory.
Participants and Methods:
16 cognitively unimpaired Presenilin-1 E280A mutation carriers and 19 age and education-matched noncarrier family members from the Colombia-Boston (COLBOS) Biomarker Study were included. A subsample (n=26; 13 cognitively unimpaired carriers) underwent amyloid and tau PET imaging. Participants completed the Coping Strategies Questionnaire (CAE) that includes a subscale used to assess religious stress coping, where a higher score indicates more coping, and underwent memory testing using the Free and Cued Selective Reminding Test (FCSRT). The Geriatric Depression Scale (GDS) was used to assess depression. Mann-Whitney U tests were used to examine group differences in religious stress coping, brain pathology (i.e., cortical amyloid-beta, entorhinal and precuneus tau), memory, and depression. Nonparametric correlations were used to examine associations among religious stress coping, age, education, depression, memory, and pathology.
Results:
Carriers had poorer FCSRT immediate free recall than noncarriers (U=84.5, p=.024). There was no difference between groups in CAE religious stress coping, other FCSRT memory scores, nor GDS score (all p>.05). Compared to non-carriers, carriers had more cortical amyloid (U=152.0, p<.001) and more precuneus tau (U=123.0, p=.05). In carriers, religious stress coping was positively associated with education (r=.57, p=.022), FCSRT immediate free recall (a=.75, p<.001), FCSRT cued recall (a=.50, p=.047), and FCSRT delayed recall (r=.52, p=.038). After controlling for education, religious stress coping remained positively associated with FCSRT immediate free recall (r=.65, p=.009), but not other FCSRT memory scores (all p>.05). Religious stress coping was not associated with age or GDS score regardless of controlling for education (all p>.05). In carriers, religious stress coping was negatively associated with entorhinal tau (r=-.73, p=.005) and precuneus tau burden (r=-.58, p=.037). The association between religious stress coping and entorhinal tau remained significant after controlling for education (r=-.67, p=.016), but not precuneus tau (p>.05). Religious stress coping was not associated with cortical amyloid regardless of controlling for education in carriers (all p>.05). None of the associations with brain pathology or memory were significant in the non-carrier group.
Conclusions:
Religious stress coping was associated with better memory performance and a low AD pathology burden in individuals at genetic risk for developing AD dementia. Future studies with independent and larger samples should further examine religious stress coping strategies and their associations with other AD-related biomarkers, as well as with other risk and protective factors to better understand their role at the preclinical and prodromal stages of Alzheimer’s disease.
Parkinson’s disease (PD) is typically characterized by unilateral onset of motor symptoms (i.e., tremors, rigidity) which is caused by dopaminergic degeneration of the substantia nigra that influences basal ganglia-prefrontal circuitry. Over time, motor symptoms become more bilateral, though continue to remain asymmetric. Many neuropsychological studies suggest that laterality of motor onset may be linked to hemispheric specific cognitive or mood changes. Namely, worse verbal/language performance may be present in individuals with right body (left hemisphere) onset and conversely for visuospatial performance, with depression symptoms relating more so to individuals with right body (left hemisphere) onset. To date, findings are often inconsistent, with some studies showing evidence for laterality effects and others not. The basis for this inconsistency is unclear, though one possibility relates to small sample sizes and varying methodologies. Thus, the goal of this study was to examine potential cognitive and mood laterality effects in a large clinical sample of individuals with PD.
Participants and Methods:
Participants included a convenience sample of 600 nondemented individuals with idiopathic PD from the University of Florida Fixel Institute Movement Disorders Center. As a group, participants were around 60 years of age (Mean Age=63.9+9.4), well educated (Mean years=14.9+2.7), predominantly male (70%), and white non-Hispanic (93%). Side of initial motor symptom onset was based on self-report: Right (N=337) and Left (N=263). Approximately 79% were tremor predominant. All received mood and neurocognitive measures as part of standard clinical care, including indices of executive function (Stroop Color-Word, Trails B, Letter Fluency), recent verbal memory (delayed recall: Hopkin’s Verbal Learning Test, WMS-III Logical Memory), language (Boston Naming Test, Animal fluency), visuospatial skills (Judgment of Line Orientation, Facial Recognition Test). Evaluation of emotion symptoms included: depression (Beck Depression Inventory-II), apathy (Apathy Scale), and anxiety (State-Trait Anxiety Inventory). Analyses used raw scores from these measures. Due to non-normality of most measures’ distributions, laterality effects were examined using bootstrapped multivariate methods (multivariate analysis of variance [MANOVA]). Separate MANOVA’s were run for each cognitive domain (i.e., EF, language, etc.) and mood measures.
Results:
The right and left sided onset groups did not significantly differ in demographic (age, education, sex) or disease characteristics (duration, PD subtype). Results of the MANOVA’s with cognitive variables were all nonsignificant broadly (all with F’s ranging from .33 to .94) and at the single test level. Similarly, the left and right onset groups did not significantly differ (a=0.05) across standard scales of depression (F=0.031), anxiety (Trait F=0.463; State F=3.29), and apathy (F=0.74).
Conclusions:
We found no evidence that laterality of initial motor symptoms influenced cognitive or mood symptoms in a large cohort of 600 individuals with PD. These findings raise questions about importance of motor onset laterality for cognitive and emotion related changes in PD. Future studies should move beyond self-report and behavioral motor scales for determining hemispheric contributions. In PD, use of refined metrics for determining the extent of asymmetric dopaminergic degeneration (e.g., DAT scan) at the hemispheric level coupled with sensitive neuropsychological measures may provide clearer understanding of potential neural circuitry relationships.
Korsakoff's syndrome (KS) is a neuropsychiatric disorder, caused by vitamin B1 insufficiency. KS is characterized by severe declarative amnesia. Often, also executive disorders are present. Emotion recognition and theory of mind are gold-standard measures of social cognition. Moral decision making is often assessed by means of moral dilemmas. Surprisingly social cognition and moral decision making has received hardly any attention in research on KS, although the severity of behavioural problems in KS suggest possible problems in both domains. The aim of this study was therefore to broadly assess social cognition and moral decision-making capacities in patients with KS.
Participants and Methods:
20 KS patients and 20 age-, education-, and gender-matched healthy controls were assessed on standardized tests for social cognition, namely the mini-Social Cognition and Emotional Assessment battery (mini-SEA), and a specialized version of the Sally-Anne Test. Moral decision making was assessed by means of the Moral Behaviour Inventory (MBI) for everyday moral dilemmas, and ten cartoons of abstract moral dilemmas. For moral decision making, “yes” and “no” responses were scored, together with a scoring for moral reasoning according to the Kohlberg stages of moral maturity.
Results:
KS patients have large impairments in both cognitive and affective aspects of social cognition. Their ability to recognize emotions, take the perspective of others, and understand socially awkward situations is vastly compromised. While KS patients were able to replicate the Sally Anne storyline, their task performance was on chance level. Regarding moral decision making, there was a tendency to more frequently carry out the moral dilemma. Moral maturity, as indexed by means of their reasoning behind the decision was of a lower level. Of interest, moral immaturity could find its origin already before the onset of the KS diagnosis, as suggested by elevated premorbid levels of delinquent behavior.
Conclusions:
Both social cognition and moral decision making are compromised in KS patients. Specifically social cognitive disorders are the direct result of KS, and are likely to strongly relate to social and neuropsychiatric issues in KS. Moral decision making was more likely to be already of a lower level of maturity, based on a strong relationship between premorbid delinquency and moral immaturity in KS patients. This study highlights the importance to properly index social cognition in neuropsychological assessments for individuals with a possible KS diagnosis
Multiple sclerosis (MS) is a persistent neuroinflammatory disease of the central nervous system that affects young adults, and is pathologically characterized by multiple and distributed focal white matter lesions, although they are characteristically located in periventricular regions. Cognitive impairment occurs in all clinical forms of the disease, with great variability and great impact on the quality of life of patients. Recent research indicates that in addition to cognitive and physical deficits, they also have deficits in social cognition, such as Theory of Mind. Although social cognition in patients with multiple sclerosis has begun to be studied in recent years, there is still little knowledge about its impact in the early stages of the disease, when the load of injuries is low and physical disability is not yet present. A series of 7 cases of patients diagnosed with MS in follow-up by the Multiple Sclerosis polyclinic of the Institute of Neurology of the Hospital de Clínicas is presented.
Participants and Methods:
Clinically stable patients with no recent urges and no cognitive complaint were included. They were evaluated with the ACE-R screening test and Theory of Mind tests: Reading the mind in the eyes and Faux Pas tests.
Results:
All patients presented normal ACE results, without indicators of cognitive impairment and poor performance in the emotion reading test. In two cases, poor yields in Faux Pas were also found.
Conclusions:
Social cognition has a great impact on quality of life, and there are indicators of involvement in early stages of the disease in which other typical cognitive deficits are not yet evident, and may constitute the first indicator of deterioration. The evaluation and early detection of deficits in social cognition could contribute to the treatment and quality of life of patients.
Expertise in social perception, defined as the ability to decode another person's mental states based on basic behavioral signals (Allison et al., 2000; Beauchamp et al., 2008). The Reading the Mind in the Eyes Test (RMET) is a social-perception task of theory of mind (ToM, Meinhardt-Injac et al., 2020) and used to test different clinical disorders, like autism spectrum disorders (ASD, Peñuelas-Calvo et al., 2019). RMET has been used to demonstrate gender, cultural, genetic, and personality trait influences on ToM and elucidate its neurobiological mechanisms (Adams et al., 2010). In Taiwan, there has few sensitive tools to evaluate children's social perception, thus the purpose of this study is to examine psychometric properties of child's version of RMET in Taiwan (RMET-C-TW) and cross-cultural comparisons.
Participants and Methods:
RMET-C (Baron-Cohen et al., 2001) was used to assess mental state/emotion recognition (Vellante et al., 2013). It consists of photographs of the eye regions of 28 faces. Participants were asked to make a choice between four words presented, choose the one that best described for feel or think. One point was given to each correctly response. RMET-C-TW was double-translation of words to ensure cultural applicability in Taiwan. This study included both a normative sample and criteria sample. The normative sample consisted of 769 (385 male, 384 female) 3 to 9 grades students from northern Taiwan. The normative sample completed both the RMET-C-TW and Chinese Vocabulary Test (CVT) in groups at their own schools, the CVT was to ensure that participants had sufficient vocabulary skills to understand the options provided in REMT-C-TW. The criteria sample were collected from 46 matched, school-aged children with ASD (age mean = 10.52, SD = 1.62; IQ = 108.39, SD = 11.75), and normally developing controls (age mean = 10.66, SD=1.68; IQ = 109.70, SD = 12.12). These two groups were administered the (1) WISC-III (2) CVT (3) RMET-C-TW and (4) ToM Test.
Results:
The results showed that RMET-C-TW had acceptable test-retest reliability and internal consistency (test-retest reliability = .71, Cronbach α= .40). There were significant gender and age difference in the performance of RMET-C-TW, example female, older participants performed better. Item analysis showed 93% of items in the RMET-C-TW had cross- cultural consistency in the distribution of respondents' choices. In criteria sample, the control group's RMET-C-TW scores significantly better than ASD group. Physician diagnosis (r = .49, p < .01) and high-order ToM's scores (r = .33, p < .01) were significantly associated with RMET-C-TW scores.
Conclusions:
RMET-C-TW has acceptable reliability and good developmental validity (age-related growth) in three to nine grades, and future can be extended to different age and clinicians to understand the development of social perception. Therefore, RMET-C-TW can be used as an initial screening and cross-cultural tool for ASD. In addition, EF is divided into cold and hot, and hot EF makes a unique contribution to ToM in ASD (Kouklari et al., 2017), thus this tool may also be used in the future to understand the association of hot EF with social perception.
Primary progressive aphasia (PPA) is a dementia syndrome characterized early in its course by gradual dissolution of language and is associated with asymmetric atrophy in the language-dominant hemisphere (usually left). In contrast, behavioral variant frontotemporal dementia (bvFTD) is a dementia syndrome characterized by a progressive early decline in personality and comportment and is associated with relatively symmetric or rightward predominant bifrontal atrophy. This study analyzed the regional and hemispheric distributions of neuronal tau inclusions of the corticobasal degeneration variant of FTLD-tau pathology (FTLD-CBD) in individuals with PPA or bvFTD. The goal was to establish clinicopathologic concordance between FTLD-CBD and behavioral/comportmental vs aphasic dementia syndromes.
Participants and Methods:
Seven participants were clinically diagnosed with PPA and 6 were diagnosed with bvFTD. All had FTLD-CBD as the principal neuropathologic diagnosis at postmortem study. Sections from the following cortical regions were stained immunohistochemically with AT-8 to visualize neuronal tau inclusions: bilateral middle frontal gyrus (MFG), inferior parietal lobule (IPL), superior temporal gyrus (STG); and unilateral occipital cortex (OCC). Bilateral anterior temporal lobes (ATL) were analyzed in PPA cases only. Unbiased stereological analysis was performed to compare regional and hemispheric distributions between and within PPA vs. bvFTD groups.
Results:
Overall neocortical (MFG+STG+IPL) tau densities were significantly greater in the PPA group compared to the bvFTD group (p<0.05). Within the bvFTD group, the highest densities of tau inclusions were observed in the right MFG (mean=6,871.17; SD=3,220). In the PPA group, highest densities were observed in the left ATL (mean=9,901.81; SD=6,871). There was leftward hemispheric asymmetry of tau inclusions in IPL, STG and ATL which trended towards significance in the latter (p=0.083). Cortical distributions were symmetric or rightward predominant within the bvFTD group. Occipital cortex was devoid of inclusions.
Conclusions:
Preliminary stereological findings of FTLD-CBD tau inclusions suggest that the distributions of pathologic tau are different across two distinct clinical dementia phenotypes. The presence of left-sided neuronal tau inclusions in PPA is concordant with the aphasic phenotype whereas symmetric and frontal-predominant densities in bvFTD are consistent with comportmental dysfunction.
An understanding of factors that contribute to informant ratings of patients’ functional abilities is crucial, not only because these ratings are used to diagnose individuals with mild cognitive impairment (MCI) versus dementia, but also because these ratings are commonly used as outcome measures in clinical trials. While these ratings are assumed to be largely accurate, research shows they are subject to biases. Caregiver distress, higher caregiver educational attainment, and higher patient age are associated with a higher discrepancy between informant and patient reports of functional abilities. Studies on informant ratings of functional abilities that simultaneously control for patient objective cognitive abilities remain sparse. The current study aims to evaluate caregiver characteristics as predictors of informant-rated functional status while controlling for patient objective cognitive abilities in MCI.
Participants and Methods:
Individuals with a clinical diagnosis of MCI (Albert, 2011 criteria) were referred to the Cognitive Empowerment Program (CEP), a comprehensive lifestyle program addressing modifiable risk factors associated with progression. This study included cross-sectional data from 118 newly enrolled individuals and their caregivers who served as informants. Patient cognitive functioning was assessed with the Montreal Cognitive Assessment (MoCA). Predictors of interest included caregiver-rated functional abilities (Functional Activities Questionnaire; FAQ), caregiver burden (Zarit Burden Interview; ZBD), caregiver depressive symptoms (Center for Epidemiological Studies Depression scale; CES-D), caregiver stress (Perceived Stress Scale; PSS), and caregivers’ self-rated communicative effectiveness (Communicative Effectiveness Index; CETI). Hierarchical linear regression models were run to predict FAQ while controlling for patient MoCA scores. Separate models were run for the caregiver variables of interest including caregiver age, ZBD, CES-D, PSS, and CETI.
Results:
Caregivers were 75.6% spouses, 17.1% adult children, 3.3% unmarried partners/cohabitating partners, and 4.1% friends. The mean age of individuals with MCI was 74.7 years (SD: 6.96, mean education = 16.2±2.60 years; 47% female) and the mean age of caregivers was 66.4 (SD: 12.88, mean education = 16.3±2.34; 66% female). Worse ratings of functional abilities on the informant-rated FAQ were found for patients with lower MoCA scores (ß = .242, p = .008). Importantly, while controlling for MoCA scores, worse ratings of functional abilities on the FAQ were found for informants with lower age (ß = -0.269, p = .003), higher perceived stress (ß = 0.267, p = .003), higher caregiver burden (ß = 0.289, p < 0.001), and lower self-rated communication effectiveness (ß = -0.324, p < .001). Caregiver depression (ß = 0.089, p = .084) and education (ß = -0.137, p = .147) were not significant predictors of functional ability ratings while controlling for MoCA scores.
Conclusions:
Results of the current study highlight the potential for biases in informant ratings regarding functional abilities in MCI. Informant ratings were found to be significantly influenced by caregiver age, stress, burden, and communicative effectiveness. A key finding is that younger caregivers, such as adult children, may report greater functional impairment in individuals with MCI. The current findings have implications for the use of perceived functional ratings, both for diagnostic purposes and as outcome measures in clinical trials.
Subjective Cognitive Decline (SCD), the perception of deteriorating cognition in the absence of apparent impairment on objective testing, has gained momentum in recent literature as a risk marker for AD. Traditional neuropsychological assessments, while typically inclusive of a word list learning task, often do not include a comparable figure learning task. Growing evidence suggests that nonverbal assessments may be particularly sensitive to the earliest cognitive changes associated with Alzheimer’s disease. The Biber Figure Learning Test (BFLT), a visuospatial analogue to verbal list learning tasks, has been shown to associate with brain-based biomarkers of Alzheimer’s disease (AD; hippocampal volume, amyloid load). This study investigates the utility of the BFLT in capturing SCD above and beyond other cognitive measures sensitive to AD progression.
Participants and Methods:
50 community-dwelling, cognitively normal individuals (78% White, 16% Black, 6% Other; 92% Non-Hispanic; 64% Female; Education M=17.1, SD=2.1; Age M=72.7, SD=6.2) participated in a study of SCD. All participants performed >-1.5 SD on clinical neuropsychological testing including a word list learning task. SCD was assessed using a 20-item scale querying individuals’ perception of difficulty across a range of memory and non-memory abilities in relation to others of the same age. Participants completed the BFLT, Loewenstein-Acevedo Scales of Semantic Interference and Learning (LASSI-L), Short-Term Memory Binding (STMB), and Face-Name Associative Memory Exam (FNAME), previously established as being sensitive to pre-clinical AD, were examined as predictors of SCD. A multiple regression adjusted for demographics (age, gender, education) was used to investigate the extent to which BFLT Trial 1 (T1) predicted SCD above and beyond these other cognitive measures sensitive to AD progression. Trial 1 of the BFLT was used based on a separate abstract examining which BFLT score was most highly associated with SCD (Kann et al., pending acceptance).
Results:
Adjusting for demographics, the present model accounts for 42% of the variance in SCD, while Biber T1 alone accounts for 20% and is the only significant individual predictor of SCD (β=-0.55, p=0.004). In contrast, other variables in the model independently accounted for less than 1% to 4% each (age β=-0.23, p=0.15; gender β=-0.15, p=0.34; education β=0.06, p=0.66; LASSI-L β=-0.11, p=0.55; STMB β=-0.03, p=0.85; FNAME β=-0.10, p=0.64).
Conclusions:
The present study demonstrates the usefulness of the first learning trial of the BFLT as an independent predictor of SCD above and beyond other verbal and nonverbal measures sensitive to AD pathology. It also highlights the value of including even one trial of figure learning (< 5 minutes) in both clinical and research assessments seeking to capture cognitive changes which may be the earliest indicators of a neurodegenerative process. Ongoing longitudinal research is examining the predictive utility of the BFLT for future cognitive decline and transition to Mild Cognitive Impairment. Further research should explore the association between Biber T1, specifically, and neuropathological biomarkers of AD to further establish its utility as a portent of AD.
Rates of HIV are disproportionately high among Black individuals in the United States (CDC, 2020). Black individuals are at increased risk for neurocognitive impairment due to HIV (Marquine et al., 2016) and experience health disparities including increased morbidity and mortality (Asari, 2018; Manly et al., 1998). We sought to examine the relationship between perceived quality of healthcare and neuropsychological functioning among people living with HIV (PLWH) who identify as Black compared to those who are non-Black.
Participants and Methods:
151 PLWH in the Los Angeles area (52% Black, age = 49.85 ± 10.54, education = 13.23 ± 2.11; 87% cisgender men, 8% cisgender women, 1% transgender men, 3% transgender women) completed comprehensive neuropsychological (NP) assessments (from which demographically-corrected domain and global T-scores were derived), psychiatric and sociodemographic interviews, and self-report questionnaires, including a measure of perceived healthcare quality (i.e., QUOTE-HIV). Statistical analyses included chi-square, t-test, ANOVA, and stepwise linear regression.
Results:
Only 14% of Black PLWH had private healthcare insurance (versus Medicare/Medicaid) compared to 33% of nonBlack PLWH (x2=11.33, p<.01). Black participants were significantly older than nonBlack participants (p<.01), but did not differ on gender, education, income, CD4 count, or HIV viral load. Younger Black participants (based on a median split for age; n = 23) reported the lowest perceived quality of healthcare (i.e., QUOTE-HIV total performance score), while older Black participants (n = 56) reported the highest perceived care (F = 3.80, p = .01), but the same relationship was not observed in nonBlack participants. In a stepwise multivariate regression model, including demographic and virological factors as well as healthcare quality, only household income and overall perceived healthcare quality (i.e., QUOTE-HIV total performance score) were significantly associated with Global NP T-scores among Black PLWH (R2=.12, F(1, 66)=4.46, p=.02).
Conclusions:
When assessing healthcare quality and healthcare experiences among people living with HIV, race and age are important to consider. Private healthcare coverage may be less accessible to people of color, and in a multivariate model, only income and healthcare quality significantly predicted neuropsychological functioning in Black PLWH. When examining HIV and health outcomes, the complex relationships among quality of healthcare and health disparities, neuropsychological functioning, and structural racism warrant further investigation.
Concussion patients frequently report increased distractibility, with more than half endorsing “concentration difficulty”. Previous studies have demonstrated impairments in maintaining attention and voluntary attentional allocation in concussion patients. However, involuntary attentional allocation (distraction) is not well understood in the context of concussion. The goal of this study was to examine distraction in acute pediatric concussion patients, monitoring frontal lobe activity using functional near-infrared spectroscopy (fNIRS) - a noninvasive measure of local hemodynamic activity - to elucidate whether post-concussion distractibility is associated with the availability of attentional control resources.
Participants and Methods:
Participants included concussion patients (cases; n=19) presenting to specialty care within 28 days of injury (M=8.05, SD=5.55) and controls (n=16) presenting for reasons other than concussion. Participants were 13-17 years old (M=14.83, SD=1.10) and 57.1% female. Participants completed a computerized measure of behavioral distraction (the additional singleton paradigm) while frontal lobe activity was recorded using fNIRS 4-channel split sensor. On each trial, an array of shapes (five squares and one circle) was presented, and participants reported the orientation of a line segment inside a target shape (circle). The search array included a distractor (a square that differed in color) on 50% of trials. For each participant, the fNIR signal for epochs of each trial type (distractor present/absent) were averaged and subjected to a linear regression in which the data were fitted to a hemodynamic response function (HRF).
Results:
34 participants (19 cases, 15 controls) were included in our behavioral analysis. Reaction time (RT) was significantly slower on distractor present compared to distractor absent trials; F(1,32)=17.151, p<.001. There was no significant effect of group (case/control) on RT (F(1,32)=1.24, p=.273) or interaction between group and trial type (F(1,32)=1.05, p=.313). 29 participants (15 cases, 14 controls) were included in fNIRS analyses. The effect of group and distractor presence/absence on oxygenated hemoglobin (HbO2) was examined for each channel. A significant effect of distractor presence/absence was observed in channel 3; F(1,27)=8.510, p=.007. There were no significant effects of group or interactions between group and distractor presence/absence.
Lastly, a capture index was calculated for each participant by subtracting average RT on distractor absent trials from distractor present trials and correlated with HbO2 (beta weights averaged across trial type) for each group at each channel. No significant correlations were observed. There was a trend towards a negative correlation for case participants, particularly in channel 1, which strengthened when an outlier was removed (r=-.407, p=.149).
Conclusions:
Reaction time and frontal lobe activity - which serves as a proxy for attentional control resources - were significantly higher when a distractor was present. Although there were no significant differences in behavioral distraction between groups, concussion patients trended towards higher levels of frontal lobe activity. Likewise, although not statistically significant, there was a trend towards a negative correlation for cases such that more attentional control resources (i.e., higher frontal lobe activity) was associated with less behavioral distraction (i.e., smaller capture index). This suggests that concussion patients may recruit more neural resources to produce comparable behavioral responses to healthy controls.
To evaluate changes in neuropsychiatric symptoms among patients with multiple sclerosis (MS) following coronavirus disease of 2019 (COVID-19) infection using the National COVID Cohort Collaborative (N3C). The N3C represents the largest cohort of COVID-19 cases, through the unification of electronic health records from over 60 medical centers.
Participants and Methods:
Out of 5,631,225 COVID-19 confirmed positive patients, we identified a cohort of patients with MS who were diagnosed with COVID-19. Conditions were searched using terms denoting common neuropsychiatric comorbid diagnoses, including anxiety, depression, pain, sleep disorders, fatigue, and cognitive disorders. We examined descriptively the percentages of patients who were newly diagnosed with each comorbid condition after COVID-19 infection. Additionally, we searched for various patient-reported outcome measures in the N3C dataset; only the Patient Health Questionnaire-9 (PHQ-9) had an adequate sample size in our cohort for analysis. To control for variability due to non-COVID-19 factors, we only included PHQ-9 scores that were reported one year before and after COVID-19 infection. A repeated-measures analysis of variance (ANOVA) was conducted to analyze the difference between PHQ-9 scores before and after COVID-19 diagnosis among MS patients.
Results:
In our final dataset, there were 40,690 patients who were diagnosed with MS and COVID-19. Among patients without pre-existing anxiety conditions, 9.18% were diagnosed with an anxiety disorder after COVID-19 infection. Among those who did not have a pre-existing cognitive disorder, 1.73% had such diagnoses after COVID-19 infection. Among those without previous depressive disorders, 8.89% were diagnosed with a depressive disorder after COVID-19 infection. Of those without fatigue conditions prior to COVID-19 in their medical records, 8.81% had documented fatigue in their records after contracting COVID-19. Of those without pain conditions in their medical records, 11.37% had documented pain in their records after COVID-19 infection. Finally, among patients without pre-existing sleep disorders, 8.71% were diagnosed with sleep disorders after COVID-19 infection. Regarding PHQ-9 scores, 50 patients had documented scores before their COVID-19 diagnosis and 50 after COVID-19 diagnosis (17 had scores for both before and after COVID-19 diagnosis). There was no significant difference in PHQ-9 scores before and after COVID-19 diagnosis (F(df) = 0.326, p = 0.572; meanbefore = 8.77, meanafter = 9.32).
Conclusions:
Approximately 2-11% of MS patients developed new neuropsychiatric conditions after COVID-19 infection, with pain being the most common, followed by anxiety, fatigue, depression, and sleep disorders. Cognitive disorders were the least prevalent new onset neuropsychiatric sequelae of COVID-19 in this cohort. Additionally, there was a non-significant increase in severity of depressive symptoms, as indicated by a 1.36-point increase in PHQ-9 scores. These results suggest that patients with MS who have also been diagnosed with COVID-19 may be at risk for developing newly onset neuropsychiatric symptoms.
Historically, psychiatric conditions and neurodegenerative diseases have been considered differential diagnoses in older adults with cognitive impairment. However, recent evidence has shown that neuropsychiatric symptoms may be prodromal for neurodegenerative disease. Subjective Cognitive Decline (SCD) is a potential marker for pre-clinical Alzheimer’s Disease (AD) that is frequently related to mood disturbances. Delineating the relationship between neuropsychiatric symptoms, SCD, and cognitive impairment will help to define both the independent and combined utility of SCD and neuropsychiatric symptoms as markers of preclinical AD. This abstract uses the DSM-5 Cross-Cutting Measure (DSM-5 CC), a novel comprehensive screening tool for psychiatric symptoms, to examine the relationship between objective and subjective measures of cognition as they relate to neuropsychiatric symptoms.
Participants and Methods:
27 community dwelling, cognitively diverse older adults (78% female, mean age 71.9 ± 7) were enrolled in the Concerns about Memory Problems (CAMP) study. Inclusion criteria included the expressed concern about memory functioning by participants on a 5-item screener, while exclusion criteria were defined as previous diagnosis of neurodegenerative diseases and/or major stroke. All participants completed neuropsychological testing and study surveys including the DSM-5 CC. Participants completed Level 1 and all Level 2 (L2) forms of the DSM-5 CC. Spearman two-tailed non-parametric correlations and independent samples t-tests were conducted to examine the relationship between the DSM-5 CC and the 5-item subjective cognition screener, as well as the DSM-5 CC and objective cognition results.
Results:
Subjective measures of cognition, as measured by answers to the 5-item screening measure, were significantly associated with DSM-5 CC measures. Question 1 on the SCD screener which asks, “Compared to others your age, do you have difficulty with memory or thinking abilities?” was associated with anger (p=.033) and depression (p=.018) L2 forms. Question 3, “Do any difficulties with memory or thinking abilities make it difficult for you to do things in daily life?)” was associated with the L2 forms for somatic symptoms (p=.016) and repetitive thoughts and behaviors (p<.001). Objective measures of cognition from neuropsychological testing also correlated with DSM-5 CC sub-scores. Digits Backwards Length (DBL) correlated with DSM-5 CC Level 1 Sum (r= -.57, p=.002). DBL (r=-.59 p=.001) and Digits Backwards Total Correct (DBTC) (r=-.47, p=.013) associated with somatic symptoms L2 and sleep L2 (DBL: r=,-.45 p=.019; DBTC: r=-.39, p=.044). Category Naming (animals) was also associated with anxiety L2 (r=-.42, p=.030).
Conclusions:
Subjective and objective measures of cognition were each related to sub-scores of the DSM-5 CC. Interestingly, the associations were largely non-overlapping. These results highlight the importance of considering a wide range of neuropsychiatric symptoms in the assessment of SCD and cognitive impairment. Findings contribute to the growing body of literature suggesting that neuropsychiatric symptoms should be studied in conjunction with cognitive symptoms among older adults as co-occurring phenomena. Future directions will need to include longitudinal studies that can examine the prodromal nature of SCD and neuropsychiatric symptoms for Alzheimer’s and other neurodegenerative disorders.