Applied Neuropsychology-Adult最新文献

The aim of this study is to provide a test that allows for evaluation of both semantic memory (SM) and episodic memory (EM). The study sought to examine psychometric characteristics of the Modified Dead-Alive Test (M-DAT) in patients with neurocognitive disorders and the healthy elderly (HE). The M-DAT consists of 45 names of celebrities who have died in the remote past (15), died in the last five years (15), and are still alive (15), and participants are asked whether they are alive or dead. The M-DAT performances of patients with Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5) major neurocognitive disorder due to Alzheimer's Disease (MND-AD) (n = 69) and patients with minor neurocognitive disorder (MiND) (n = 27) who were admitted to a geriatric psychiatry clinic and healthy controls (HC) (n = 29) were compared. Age and level of education were taken as covariates, and an analysis of covariance (ANCOVA) was performed since the MND-AD group was older and less educated. The MND-AD group had lower performance in EM and SM scores of the M-DAT. M-DAT failed to differentiate between MiND and HE. Both subscale scores of the M-DAT were associated with other neuropsychological test performances as well as the level of education. The results suggest that M-DAT is a valid and reliable tool that examines both EM and SM performances. M-DAT is an alternative for the assessment of SM evaluated by verbal fluency or naming tests. Evaluating EM and SM together is an important advantage; however, M-DAT is influenced by education, and the items require updating.

Objective: The study aimed to carry out a cross-cultural analysis by comparing Five-Point test scores for two different countries. The Five-Point test measures design fluency, an executive function, and is an inexpensive test that makes it more accessible to assessment settings, including under-resourced settings.

Methods: Adults in Argentina (n = 90) and South Africa (n = 90) with tertiary levels of education were tested on the Five-Point Test. ANOVA was applied to compare the scores of the two groups on the total number of unique designs produced (Total Unique Designs).

Results: The study found no significant differences in the Total Unique Designs scores between the two groups (p = .13; η = 0.01). Correlations between demographic variables and the Total Unique Designs scores varied slightly across both samples.

Conclusions: Despite large cultural differences between both samples (language, race, religion, income) scores on this test did not differ significantly. These findings provide initial evidence of scalar equivalence on the test across these samples. Norms for the Five-Point Test Total Unique Designs scores might be used interchangeably between these two highly educated groups from different countries.

Tailor-made forced-choice validity testing was introduced in the 1970s and 1980s as a method to investigate cases of suspected malingering, but with the widespread use of standardized performance validity tests it seems to have lost much of its attraction. This is the case report of claimed complete visual loss in a constellation where ophthalmologists had excluded an underlying ocular disease for years, with the exception of scars after unilateral retinal detachment. The 50-year-old claimant had undergone a court-ordered psychiatric evaluation that confirmed the presence of a dissociative blindness and recommended to legally treat the claimant like a case of genuine blindness. The judge of a state court-of-appeal finally ordered a neuropsychological evaluation to clarify the true nature of the claimed blindness. Four different tailor-made forced-choice tests were constructed. On all of them, the claimant scored significantly below chance and demonstrated that, in fact, he was able to recognize the visual stimuli used on the tests. Taylor-made forced-choice procedures attract little attention in the current neuropsychological literature, but they offer a powerful approach to differential diagnosis in specific symptom constellations for which standardized testing is not available. Unclear symptom constellations like in this case can be resolved by tailor-made testing.

Objective: The study presented focuses on the creation of a machine learning (ML) model that uses electrophysiological (EEG) data to identify kids with attention deficit hyperactivity disorder (ADHD) from healthy controls. The EEG signals are acquired during cognitive tasks to distinguish children with ADHD from their counterparts.

Methodology: The EEG data recorded in cognitive exercises was filtered using low pass Bessel filter and notch filters to remove artifacts, by the data set owners. To identify unique EEG patterns, we used many well-known classifiers, including Naïve Bayes (NB), Random Forest, Decision Tree (DT), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), AdaBoost and Linear Discriminant Analysis (LDA), to identify distinct EEG patterns. Input features comprised EEG data from nineteen channels, individually and in combination.

Findings: Study indicates that EEG-based categorization can differentiate between individuals with ADHD and healthy individuals with accuracy of 84%. The RF classifier achieved a maximum accuracy of 0.84 when particular region combinations were used. Evaluation of classification performance utilizing hemisphere-specific EEG data yielded promising outcomes, particularly in the right hemisphere channels.

Novelty: The study goes beyond traditional methodologies by investigating the effect of regional data on categorization results. The contributions of various brain regions to these classifications are being extensively researched. Understanding the role of different brain regions in ADHD can lead to better diagnosis and treatment options for individuals with ADHD. The study of categorization ability, utilizing EEG data specific to each hemisphere, particularly channels in the right hemisphere region, provides further granularity to the findings.

Cognitive disengagement syndrome (CDS) and ADHD are considered distinct but interrelated constructs. This study aimed to investigate the prevalence of elevated CDS symptoms and increased ADHD risk in the general population, and their relationships with emotion regulation difficulty (ERD) and alexithymia. Out of 1166 participants, 142 with known psychiatric conditions were excluded, resulting in 1024 participants. Participants completed various scales including Adult ADHD Self-Report Screening Scale for DSM-5 (ASRS-5), Barkley Adult Sluggish Cognitive Tempo (SCT) Scale, Difficulties in Emotion Regulation Scale-Short Form (DERS-16), and the Toronto Alexithymia Scale (TAS-20). Four groups were formed based on Barkley and ASRS-5 scores: Group 1) No elevated CDS symptoms and Low risk of ADHD, Group 2) No elevated CDS symptoms and Increased risk of ADHD, Group 3) Elevated CDS symptoms and Low risk of ADHD, Group 4) Elevated CDS symptoms and Increased risk of ADHD. Elevated CDS symptoms was found in 10% of participants, and increased ADHD risk in 9.2%. Among probable ADHD cases, 40% had elevated CDS symptoms, while 60% of elevated CDS symptoms cases had increased ADHD risk. Group 4 (elevated CDS symptoms and increased risk of ADHD) had the highest ERD and alexithymia scores, while Group 1(no elevated CDS symptoms and low risk of ADHD) had the lowest. Regression analyses showed that CDS scores predicted ERD (47%) and alexithymia (32%) better than ADHD scores (ERD: 36%, alexithymia: 23%). CDS and ADHD appear as significant concepts that could be involved in the etiology of ERD and alexithymia.

Assessing bilingual Afghan Americans poses significant challenges for clinicians because of limited validated Farsi tests and norms. To better address existing limitations, case-based research can provide valuable insights into the cognitive and psychiatric conditions of Afghan Americans. The study utilized a case series design focusing on three Afghan American individuals selected for their diverse age groups, educational backgrounds, and clinical presentations to illustrate the neuropsychological assessment process. Each case was individually examined, allowing in-depth qualitative insights while highlighting common themes and challenges. Assessment measures were tailored for the bilingual Afghan population, using standardized cognitive tests for various functions and culturally relevant psychological evaluations to address mental health concerns. Following a review of these cases, the authors made key considerations and recommendations, including becoming familiar with non-English assessments. A list of terms is provided in English, Farsi, and Finglish (aka, Farsi written in English). Overall, the case presentations highlight the importance of culturally appropriate assessments and the need for special considerations when conducting a neuropsychological evaluation with Afghan Americans. Additionally, the authors provide insights for clinicians to enhance culturally informed practices.

Cognitive screening assessments for neurological deficits are critical to the initial assessment of post-stroke patients. However, most measures are not designed for post-stroke patients and in particular not for people with aphasia (PWA), because they rely on language functions. The Cognitive Assessment for Stroke Patients (CASP) is a screening test that can also be administered to PWA, and was recently adapted into Hebrew. The current study aimed to compare the performance of post-stroke patients on the Hebrew versions of the CASP and the Montreal Cognitive Assessment (MoCA). Forty medical records of post-stroke patients were retrospectively examined: Twenty participants without aphasia and 20 PWA. The data included demographics, total CASP and MoCA scores, and scores in specific cognitive domains. Correlations were found between total CASP and MoCA scores, for all participants as well as for each group separately. Comparisons between groups revealed significantly higher performance of the participants without aphasia on the MoCA, but not on the CASP. Clinically, these findings suggest that the Hebrew version of the CASP can be implemented as a formal cognitive screening test for post-stroke patients, including PWA. It can help identifying PWA's cognitive state and differentiate between language and cognitive impairments, hence, contributing in planning targeted treatment.

Persons with severe non-fluent aphasia would benefit from using gestures to substitute for their absent powers of speech. The use of gestures, however, is challenging for persons with aphasia and concomitant limb apraxia. Research on the long-term recovery of gestures is scant, and it is unclear whether gesture performance can show recovery over time. This study evaluated the recovery of emblems and tool use pantomimes of persons with severe non-fluent aphasia and limb apraxia after a left hemisphere stroke. The Florida Apraxia Screening Test-Revised (FAST-R) was used for measurements. The test includes 30 gestures to be performed (i) after an oral request, (ii) with the aid of a pictorial cue, or (iii) as an imitation. The gestures were rated on their degree of comprehensibility. The comprehensibility of gestures after an oral request improved significantly in five out of seven participants between the first (1-3 months after the stroke) and the last (3 years after) examination. Improvement continued for all five in the period between six months and three years. The imitation model did improve the comprehensibility of gestures for all participants, whereas the pictorial cue did so just slightly. The skill of producing gestures can improve even in the late phase post-stroke. Because of this potential, we suggest that gesture training should be systematically included in the rehabilitation of communication for persons with severe non-fluent aphasia.

Memory impairment imposes a great burden on stroke patients and can be divided into Objective Memory Problems (OMPs) and Subjective Memory Complaints (SMCs). Studies have shown that these do not always co-occur. Possibly, the gap between SMCs and OMPs can be bridged when using a more ecologically valid memory test and considering the impact of other common stroke symptoms such as sensory hypersensitivity (SHS) and fatigue. In the present study, we applied Virtual Reality (VR) to create a sensory-rich environment with real-life stimuli. Memory performance was tested with the 15-Verbal Word Learning Test (VLT). Furthermore, we assessed SMCs (Everyday Memory Questionnaire), and the levels of SHS (Multi-Modal Evaluation of Sensory Sensitivity) and fatigue in the previous month. 31 chronic stroke patients and 32 healthy controls participated. The results showed that participants' memory performance decreased in a sensory-rich compared to a neutral environment. This decrease did not significantly differ between the groups. Interestingly, fatigue and SHS are related to the level of SMC in stroke patients but no such evidence was found in healthy controls. Last, for stroke patients, we found a significant negative correlation between SMCs and memory performance in a sensory-rich environment, but not in a neutral environment. In conclusion, our study implicates that in stroke patients, fatigue and SHS are related to SMCs and that using a sensory-rich VR environment might be a more ecologically valid way to objectify SMCs. However, interpretative caution is warranted due to the absence of sex and age-matched controls and potential selection bias.