Particularities of Electrophysiological and Psychoneurological Assessment of Mild Traumatic Brain Injury

Neuropsychological functioning after mTBI is individualized and dynamic, with no currently known predictors and usually having a trajectory of gradual improvement. It is still a challenge to identify specific cognitive profiles associated with mTBI. One of the causes is the transient character of TBI symptoms as they are not appearing immediately after the injury. Another explanation resides in the individual and group variability of cognitive impairements following mTBI, which also affects the standardisation of the neuropsychological tests to use in mTBI assessment batteries (Iverson et al., 2013; Prince & Bruhns, 2017; Tulsky et al., 2017). Presently concussion has no accepted definition or diagnostic criteria. Also, there is no standard (or gold standard) for screening or properly identifying and diagnosing all population with concussion. (Borg et al., 2004). Patients with mTBI could evolve in a bunch of physical, cognitive, and emotional symptoms (Permenter et al., 2021) that are usually known as post-concussion syndrome (PCS). In terms of symptoms, we target neuropsychological evaluation of four key domains (“higher-order attention”, “executive function”, “episodic memory”, and “speed of information processing”) implicated in chronic impairment after mTBI. Alternatively, studies on the EEG frequency domain shed new light on the possibility to have a diagnostic marker based on QEEG patterns identified in the mTBI population and some prognostic factors for the PCS syndrome.(Rapp et al., 2015; Thornton & Carmody, 2009). Given the particularities of neuropsychological functioning after mTBI we emphasize the need of a mixed methodology, using both electrophysiological and psychoneurological tools, to provide the best sensitivity and specificity in assessing cognitive and functional deficits and in predicting further PCS.

Students’ Non-Cognitive Profiles and their Relationships with Academic Stress and Persistence in Higher Education

To reduce their attrition rates, institutions need to ensure that their students can manage the stressors they confront in their academic work and persist to complete their study programs. Given the significance of non-cognitive attributes in education, this study aimed to identify the non-cognitive profiles exhibited by students which related significantly to academic stress and persistence levels in the middle of a given academic year. Undergraduate students from one of the largest private higher education institutions in Singapore participated in two online surveys. A total of 565 and 122 students participated in the first and second surveys, respectively. Results indicated that three distinct non-cognitive profiles could be identified, which were associated significantly with students’ academic stress levels and their intentions to persist with their studies. Possible implications for enhancing student outcomes by offering students with opportunities to enhance their affective ‘readiness’ profiles are discussed.

Cognitive Impairment in Genetic Parkinson’s Disease

Cognitive impairment is common in idiopathic Parkinson’s disease (PD). Knowledge of the contribution of genetics to cognition in PD is increasing in the last decades. Monogenic forms of genetic PD show distinct cognitive profiles and rate of cognitive decline progression. Cognitive impairment is higher in GBA- and SNCA-associated PD, lower in Parkin- and PINK1-PD, and possibly milder in LRRK2-PD. In this review, we summarize data regarding cognitive function on clinical studies, neuroimaging, and biological markers of cognitive decline in autosomal dominant PD linked to mutations in LRRK2 and SNCA, autosomal recessive PD linked to Parkin and PINK1, and also PD linked to GBA mutations.

Cognitive Decline Over a 5-Year Period: The National Health and Aging Trends Study

The classification of Alzheimer’s disease and related dementia (ADRD) is important for understanding the progression of cognitive decline. This longitudinal study used data from the National Health and Aging Trends Study (NHATS). A sample of 3,287 eligible Medicare beneficiaries were included in the study. Nine cognitive profiles were examined from Waves 1 to 5 (2011-2015). Discriminant factor analysis was used to identify factors that differentiated across the cognitive profiles. Results showed that 1,076 had some measure of “possible” or “probable” dementia over the 5 years. In Wave 1, there were 104 self-reported ADRD diagnoses, and in Wave 5, there were 327 self-reported ADRD diagnoses. Social participation was an important factor in those that impairment reversed from probable to possible ADRD. Findings support previous evidence that certain activities may slow or reverse cognitive decline and can inform future studies exploring the causality of dementia onset.

Factors and Functions Associated With Health and Well-Being Among Older Adults: Evidence From NHATS

The National Health and Aging Trends Study (NHATS) is a nationally representative sample of Medicare beneficiaries aged 65 and older. From 2011 through 2020, annual in-person interviews have collected data in many areas, including health, environment, wellbeing, cognition, and function. With a decade of follow-up, including replenishment samples, NHATS is an ideal setting to investigate trends and trajectories of aging. Aging is heterogeneous and understanding the myriad of factors and functions that impact health and wellbeing is critical to developing interventions and care to promote health and wellbeing. Considering a multifactorial, wholistic approach to aging will provide a deeper understanding to create an impact. This symposium features pivotal research conducted using NHATS data, while highlighting overall strengths of the dataset for future research. The first presentation of this symposium investigates the factors that define cognitive profiles associated with dementia diagnosis over a period of five years. The second presentation investigates the role engagement in personally meaningful activities play in cognitive, emotional, functional, and health-related outcomes in older adults. The third presentation investigates the association between sleep medication use and fall risk among older adults with and without dementia. The session concludes with an investigation of end-of-life communication in persons with dementia and hearing impairment.

Application of the Chinese Version of the Montreal Cognitive Assessment-Basic for Assessing Mild Cognitive Impairment in Parkinson’s Disease

Mild cognitive impairment (MCI) is a common and pivotal non-motor symptom in Parkinson’s disease (PD). It is necessary to use the appropriate tools to characterize the cognitive profiles and identify the subjects at risk of MCI in clinical practice. A cohort of 207 non-demented patients with PD and 52 age- and gender-matched cognitively normal controls (NCs) underwent the Chinese Version of Montreal Cognitive Assessment-Basic (MoCA-BC) evaluation. Patients with PD also received detailed motor and non-motor evaluation by serial scales. Cognitive profiles were investigated in patients with PD-MCI, relative to patients with normal cognition (PD-NC) and cognitively NCs. In addition, differences in demography, major motor and non-motor symptoms were compared between patients with PD-MCI and PD-NC. There were 70 patients with PD-MCI, occupying 33.8% of the total patients. Patients with PD-MCI had impairment in multiple cognitive domains, especially in executive function, memory and visuospatial function on MoCA-BC, relative to cognitively NCs or PD-NC. Compared with PD-NC patients, PD-MCI patients were older (p = 0.002) and had a later onset age (p = 0.007) and higher score of the Unified Parkinson’s Disease Rating Scale (UPDRS) part III (p = 0.001). The positive rate of clinical possible rapid eye movement sleep behavior disorder (cpRBD) in the PD-MCI group was significantly increased relative to the PD-NC group (p = 0.003). Multivariate logistic analysis showed that older age (OR = 1.06; p = 0.012), higher score of UPDRS-III (OR = 1.03; p = 0.018) and the presence of cpRBD (OR = 2.10; p = 0.037) were independently associated factors of MCI in patients with PD. In conclusion, executive function, memory and visuospatial function are the main impaired cognitive profiles in PD-MCI via MoCA-BC. Aging, motor severity and RBD may be independently related factors of MCI in PD.