BACKGROUND: Emerging and advanced technologies in the field of Artificial Intelligence (AI) represent promising methods to predict and diagnose neurodegenerative diseases, such as dementia. By using multimodal approaches, Machine Learning (ML) seems to provide a better understanding of the pathological mechanisms underlying the onset of dementia. The purpose of this review was to discuss the current ML application in the field of neuropsychology and electrophysiology, exploring its results in both prediction and diagnosis for different forms of dementia, such as Alzheimer\'s disease (AD), Vascular Dementia (VaD), Dementia with Lewy bodies (DLB), and Frontotemporal Dementia (FTD).
METHODS: Main ML-based papers focusing on neuropsychological assessments and electroencephalogram (EEG) studies were analyzed for each type of dementia.
RESULTS: An accuracy ranging between 70-90% or even more was observed in all neurophysiological and electrophysiological results trained by ML. Among all forms of dementia, the most significant findings were observed for AD. Relevant results were mostly related to diagnosis rather than prediction, because of the lack of longitudinal studies with appropriate follow-up duration. However, it remains unclear which ML algorithm performs better in diagnosing or predicting dementia.
CONCLUSIONS: Neuropsychological and electrophysiological measurements, together with ML analysis, may be considered as reliable instruments for early detection of dementia.

UNASSIGNED: Conventional normative samples include individuals with undetected Alzheimer\'s disease neuropathology, lowering test sensitivity for cognitive impairment.
UNASSIGNED: We developed Mayo Normative Studies (MNS) norms limited to individuals without elevated amyloid or neurodegeneration (A-N-) for Rey\'s Auditory Verbal Learning Test (AVLT). We compared these MNS A-N- norms in female, male, and total samples to conventional MNS norms with varying levels of demographic adjustments.
UNASSIGNED: The A-N- sample included 1,059 Mayo Clinic Study of Aging cognitively unimpaired (CU) participants living in Olmsted County, MN, who are predominantly non-Hispanic White. Using a regression-based approach correcting for age, sex, and education, we derived fully-adjusted T-score formulas for AVLT variables. We validated these A-N- norms in two independent samples of CU (n = 261) and mild cognitive impairment (MCI)/dementia participants (n = 392) > 55 years of age.
UNASSIGNED: Variability associated with age decreased by almost half in the A-N- norm sample relative to the conventional norm sample. Fully-adjusted MNS A-N- norms showed approximately 7- 9% higher sensitivity to MCI/dementia compared to fully-adjusted MNS conventional norms for trials 1- 5 total and sum of trials. Among women, sensitivity to MCI/dementia increased with each normative data refinement. In contrast, age-adjusted conventional MNS norms showed greatest sensitivity to MCI/dementia in men.
UNASSIGNED: A-N- norms show some benefits over conventional normative approaches to MCI/dementia sensitivity, especially for women. We recommend using these MNS A-N- norms alongside MNS conventional norms. Future work is needed to determine if normative samples that are not well characterized clinically show greater benefit from biomarker-refined approaches.

UNASSIGNED: Borderline Intellectual Functioning (BIF) impacts cognitive functioning and adaptive behavior. Recent studies have demonstrated the efficacy of Executive Functions trainings to support daily-living skills in several clinical populations. However, although the relationship between Executive Functions and BIF has been studied, few studies have explored the effects of cognitive enhancement training for BIF children. Given the pivotal significance of Executive Functions in learning, orchestrating cognitive processes, and modulating affective and behavioral responses, our study aimed to evaluate the efficacy of cognitive enhancement training targeting Executive Functions in a group of 23 children diagnosed with Borderline Intellectual Functioning devoid of neurodevelopmental impairments.
UNASSIGNED: We included a multiple assessment based on several informants (children, teachers, parents, and tutors) and provided individualized cognitive enhancement training focused on Executive Functions through both digital and analog activities. The training was highly customized, structured and monitored at various stages of the process activities. The training was composed of 20 sessions, each lasting 2 hours, held twice a week for each child.
UNASSIGNED: The obtained results confirmed the efficacy of cognitive enhancement training in improving Executive Functions, the primary target of the intervention, particularly in attention, verbal fluency, planning, inhibitory control, working memory, and flexibility. Furthermore, improvements were observed by all the informants in other cognitive functions, learning, and adaptive behaviors.
UNASSIGNED: Our study contributes to the understanding of BIF, emphasizing the efficacy of neuropsychological enhancement through personalized training for EF.

Understanding the relationship between functional connectivity (FC) of higher-order neurocognitive networks and age-related cognitive decline is a complex and evolving field of research. Decreases in FC have been associated with cognitive decline in persons with Alzheimer\'s disease and related dementias (ADRD). However, the contributions of FC have been less straightforward in typical cognitive aging. Some investigations suggest relatively robust FC within neurocognitive networks differentiates unusually successful cognitive aging from average aging, while others do not. Methodologic limitations in data processing and varying definitions of \'successful aging\' may have contributed to the inconsistent results to date. The current study seeks to address previous limitations by optimized MRI methods to examine FC in the well-established SuperAging phenotype, defined by age and cognitive performance as individuals 80 and older with episodic memory performance equal to or better than 50-to-60-year-olds. Within- and between-network FC of large-scale neurocognitive networks were compared between 24 SuperAgers and 16 cognitively average older-aged control (OACs) with stable cognitive profiles using resting-state functional MRI (rs-fMRI) from a single visit. Group classification was determined based on measures of episodic memory, executive functioning, verbal fluency and picture naming. Inclusion criteria required stable cognitive status across two visits. First, we investigated the FC within and between seven resting-state networks from a common atlas parcellation. A separate index of network segregation was also compared between groups. Second, we investigated the FC between six subcomponents of the default mode network (DMN), the neurocognitive network commonly associated with memory performance and disrupted in persons with ADRD. For each analysis, FCs were compared across groups using two-sample independent t-tests and corrected for multiple comparisons. There were no significant between-group differences in demographic characteristics including age, sex and education. At the group-level, within-network FC, between-network FC, and segregation measurements of seven large-scale networks, including subcomponents of the DMN, were not a primary differentiator between cognitively average aging and SuperAging phenotypes. Thus, FC within or between large-scale networks does not appear to be a primary driver of the exceptional memory performance observed in SuperAgers. These results have relevance for differentiating the role of FC changes associated with cognitive aging from those associated with ADRD.

The integration of virtual, mixed, and augmented reality technologies in cognitive neuroscience and neuropsychology represents a transformative frontier. In this Commentary, we conducted a meta-analysis of studies that explored the impact of Virtual Reality (VR), Mixed Reality (MR), and Augmented Reality (AR) on cognitive neuroscience and neuropsychology. Our review highlights the versatile applications of VR, ranging from spatial cognition assessments to rehabilitation for Traumatic Brain Injury. We found that MR and AR offer innovative avenues for cognitive training, particularly in memory-related disorders. The applications extend to addressing social cognition disorders and serving as therapeutic interventions for mental health issues. Collaborative efforts between neuroscientists and technology developers are crucial, with reinforcement learning and neuroimaging studies enhancing the potential for improved outcomes. Ethical considerations, including informed consent, privacy, and accessibility, demand careful attention. Our review identified common aspects of the meta-analysis, including the potential of VR technologies in cognitive neuroscience and neuropsychology, the use of MR and AR in memory research, and the role of VR in neurorehabilitation and therapy.

The ability to perform activities of daily living (ADL) function is a multifaceted construct that reflects functionality in different daily life situations. The loss of ADL function due to cognitive impairment is the core feature for the diagnosis of Parkinson\'s disease dementia (PDD). In contrast to Alzheimer\'s disease, ADL impairment in PD can be compromised by various factors, including motor and non-motor aspects. This narrative review summarizes the current state of knowledge on the association of cognition and ADL function in people with PD and introduces the concept of \"cognitive ADL\" impairment for those problems in everyday life that are associated with cognitive deterioration as their primary cause. Assessment of cognitive ADL impairment is challenging because self-ratings, informant-ratings, and performance-based assessments seldomly differentiate between \"cognitive\" and \"motor\" aspects of ADL. ADL function in PD is related to multiple cognitive domains, with attention, executive function, and memory being particularly relevant. Cognitive ADL impairment is characterized by behavioral anomalies such as trial-and-error behavior or task step omissions, and is associated with lower engagement in everyday behaviors, as suggested by physical activity levels and prolonged sedentary behavior. First evidence shows that physical and multi-domain interventions may improve ADL function, in general, but the evidence is confounded by motor aspects. Large multicenter randomized controlled trials with cognitive ADL function as primary outcome are needed to investigate which pharmacological and non-pharmacological interventions can effectively prevent or delay deterioration of cognitive ADL function, and ultimately the progression and conversion to PDD.

OBJECTIVE: The aim of the study was to assess whether children and adolescents with epilepsy are at higher risk of behavioral disturbances when they have concomitant cognitive disturbances.
METHODS: Behavioral scores were generated using the Child Behavior Checklist (CBCL). Cognitive evaluation was applied by using different age appropriate versions of the Wechsler Intelligence Scale. CBCL scores (total, externalizing, internalizing) were compared between patients with and without intellectual disability (IQ score < 70 and ≥70, respectively).
RESULTS: 144 (10.2 mean age, 6.0-17.9 range) patients were recruited for the study. Patients with mild to moderate intellectual disability (full-scale intelligence quotient (FSIQ) < 70) were not at higher risk of behavioral disturbances (total CBCL score ≥ 63) than patients without cognitive impairment. The mean total CBCL score was 62.0 ± 10.6 (range 42.0-83.5, 95% CI 57.9-62.0) and 59.3 ± 10.3 (range 38.0-80.0, CI 57.4-61.2) for patients with FSIQ < 70 and ≥70, respectively. There was no correlation between FSIQ and total CBCL scores. These findings were true for all IQ subcategories.
CONCLUSIONS: Behavioral disturbances among children and adolescents with epilepsy occur despite the presence or absence of intellectual dysfunction with respect to full-scale IQ.

Transient global amnesia (TGA) is characterized by sudden and temporary memory impairment, while transient epileptic amnesia (TEA) represents amnestic attacks as the main manifestation of focal epilepsy with presumed temporal origin. We present a 48-year-old patient who experienced transient amnesia 10 weeks after right selective amygdalo-hippocampectomy for right temporal lobe epilepsy. Despite TEA being a plausible explanation for amnesia in patients with temporal lobe epilepsy, no epileptiform discharges were found during the amnestic episode and key features indicative of TGA, including long duration, isolated occurrence, and dense anterograde amnesia of the episode, argued against a diagnosis of TEA in this case. Notably, the patient has remained seizure-free (now 4,5 years) and stopped taking antiseizure medication 32 months after surgery. Although TGA clinical criteria formally exclude patients with recent active epilepsy, neurologists should be aware that TGA can occur after epilepsy surgery in the temporal lobe. Therefore, we consider it of high clinical relevance to establish a careful differential diagnosis between TGA and epileptic amnestic attacks after epilepsy surgery to avoid unnecessary reintroduction or continuation of antiseizure medication. Additionally, this case presents the first comparison of detailed neuropsychological test results before and after a presumed TGA episode, revealing a complete recovery of anterograde memory functions within 1 day. PLAIN LANGUAGE SUMMARY: A 48-year-old patient experienced an episode of transient amnesia 10 weeks after epilepsy surgery. Given the patient\'s history, an epileptic origin of the episode initially seemed likely. However, tests revealed no seizure activity during the episode and the characteristics matched a condition called transient global amnesia. This case highlights the importance of correctly diagnosing memory impairments after epilepsy surgery to prevent unnecessary treatment.

UNASSIGNED: To estimate rates and time to reach emergence of consciousness from vegetative state/unresponsive wakefulness syndrome (VS/UWS), and explore factors associated with improved recovery in children and adolescents with disorders of consciousness (DoC) following severe traumatic and non-traumatic brain injury.
UNASSIGNED: Analytical, retrospective, cohort study. Clinical records of consecutively referred patients admitted in VS/UWS to a neurological rehabilitation institute in Argentina, between 2005 and 2021 were reviewed. Seventy children and adolescents were included in the analysis. A specialized 12-week rehabilitation program was administered, and emergence was defined by scores ≥44 points on the Western Neuro Sensory Stimulation Profile (WNSSP), sustained for at least 3 weeks on consecutive weekly evaluations.
UNASSIGNED: Emergence from VS/UWS to consciousness occurred within 5.4 (SD 2.6) weeks in almost one-third of patients. Multivariate Cox regression analysis showed emergence was significantly lower in patients with hypoxic ischemic encephalopathy compared to patients with other non-traumatic etiologies [HRadj 0.23 (95% CI 0.06-0.89); p = 0.03)].
UNASSIGNED: Our findings reinforce growing evidence on the impact of etiology on DoC recovery in pediatric populations, ultimately influencing treatment and family-related decisions in child neurorehabilitation.

BACKGROUND: It has been recently acknowledged that deficits in experiencing and processing one\'s own emotions, also termed alexithymia, may possibly feature the frontotemporal-spectrum disorders. This study aims to determine whether alexithymia could be included within the frontotemporal syndromes of amyotrophic lateral sclerosis (ALS).
METHODS: Alexithymic traits were estimated in a cohort of 68 non-demented ALS patients with the 20-item Toronto Alexithymia Scale (TAS-20). Patients were assessed for the identification of motor-phenotypes and frontotemporal syndromes based on current classification criteria. Spearman\'s coefficients explored the correlates of TAS-20 measures with motor-functional profiles, global cognitive, social-cognitive (emotion recognition and empathy) and behavioral status.
RESULTS: Abnormal TAS-20 scores were found in 13% of patients, and their distribution did not vary within motor and frontotemporal phenotypes. Significant associations were detected between TAS-20 and executive (p ≤ .011), memory (p = .006), state-anxiety (p ≤ .013) and depression measures (p ≤ .010). By contrast, TAS-20 scores were unrelated to social-cognitive performances, dysexecutive and apathetic profiles. Disease duration was the only motor-functional feature being related to the TAS-20 (p ≤ .008).
CONCLUSIONS: Alexithymia of potential clinical relevance occur in a minority of ALS patients, and its neuropsychological correlates mostly resemble those featuring the general population. Hence, it is unlikely that alexithymia is a specific feature of frontotemporal-spectrum characterizing ALS, rather it could be an expression of psychogenic factors as a reaction to the disease.