Neurological Populations Research Articles

Post-acute Care Needs and Benefits of Inpatient Rehabilitation Care for the Oncology Patient.

This study aims to assess recent literature published on the post-acute care needs of cancer patients, specifically focusing on the acute inpatient rehabilitation setting. The neurologic cancer population appears to be the most studied oncologic population in acute inpatient rehabilitation studies within the past 5years. This finding is consistent with prior findings from the past several decades. Recent trends in inpatient cancer rehabilitation note a population with lower admission functional status and shorter lengths of stay compared to prior studies. Despite these findings, the percentage discharged to the community remains high. With new treatments yielding improved survival, cancer patients may live longer and risk accumulating more functional impairments. Physicians involved in their care must understand post-acute care needs and work in a multidisciplinary group to best determine post-acute disposition. This decision remains very individualized and should consider both oncologic and functional needs.

Total Hip Arthroplasty in Patients With Neurological Conditions: ASystematic Review.

As operative techniques and implant design have evolved over time, total hip arthroplasty (THA) is increasingly being carried out for patients with neurological impairment. This patient group places unique surgical challenges to the arthroplasty surgeon, which may include contractures, instability, and altered muscular tone. The purpose of this systematic review is to report the patient outcomes, complications, and implant survival following THA for patients with neurological conditions affecting the hip. Thus, we aim to support orthopaedic surgeon decision-making when considering and planning THA for these patients. A systematic review was performed as per Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines using the PubMed/Medline OVID, Cochrane, and Embase databases. All studies reporting the outcomes of THA in the neurological population which met defined inclusion criteria were included. From an initial screen of 1820 studies, 45 studies with a total of 36,251 THAs were included in the final selection. All 45 studies reported complication rates, with controls included in 16 for comparison. High complication rates were observed following THA in the neurologically impaired population, most notably dislocation with observed rates up to 10.6%. An improvement was noted in all 36 studies (1811 THAs) which reported upon patient-reported outcomes. THA may be beneficial in the selected patients with neurological conditions, to reduce pain and improve function. There is an increased risk of complications which require careful consideration when planning the operation and open discussion with prospective patients and caregivers before proceeding with surgery.

The outcomes of penile prosthesis in neurologic patients: a multicentric retrospective series.

Neurological disease is a known entity for causing erectile dysfunction (ED). Pharmacological therapies are not always effective these patients - penile prosthesis implant (PPI) is an established surgical treatment option. For a variety of reasons, neurological patients may experience differing outcomes of PPI compared to those whose ED arises from other causes. We investigated outcomes of PPI in neurological patients using the Italian multi-institutional national registry of penile prostheses [Italian Nationwide Systematic Inventarization of Surgical Treatment for ED (INSIST-ED)]. Patients undergoing PPI were investigated via the INSIST-ED registry, from 2014 to 2021. Data were prospectively recorded by 45 surgeons on a dedicated website (www.registro.andrologiaitaliana.it) and reviewed by a data manager. We subselected patients with neurological disease undergoing PPI for ED, and these patients were reviewed at 3, 6, and 12 months, and annually thereafter. Postoperative complications and functional outcomes were evaluated through validated questionnaires [International Index of Erectile Function-5 (IIEF-5), Sexual Encounter Profile 2-3, and Erectile Dysfunction Inventory of Treatment Satisfaction (EDITS)]. A nonvalidated questionnaire was administered to assess patient satisfaction. A total of 33 patients were included with a median age of 49 [interquartile range (IQR) 41-55]. Median follow-up was 83 months (IQR 67-99.5). A penoscrotal approach for PPI was performed in most cases (90.9%), while infrapubic was used in three cases (9.1%). Inflatable and malleable devices were implanted in 30 (90.9%) and 3 cases (9.1%), respectively. Intraoperative complications occurred in one case (3%). Early postoperative complications (<90 days) were observed in three cases (9.1%): two wound dehiscence (Clavien-Dindo G1 and G3a respectively) and one device infection requiring prosthesis explant (Clavien-Dindo G3a). Mechanical failures of inflatable devices were not observed during the follow-up period. Median IIEF-5 before surgery was 8 (IQR 7-9). At the latest follow-up, IIEF-5 was 22 (IQR 19-23.5), and median EDITS was 79 (IQR 64-88). A total of 28 patients (84.8%) self-reported to be fully satisfied with the PPI. Although PPI in the neurological population has been historically considered to be at increased risk, in our study, PPI complications and infections rates in this cohort did not differ from general population.

Stability of Psychological Well-being Following a Neurological Event and in the Face of a Global Pandemic

This study examined the stability of psychological well-being in people who have experienced a neurological event resulting in focal brain damage. Evidence suggests that psychological well-being is largely stable in healthy adult populations. However, whether such stability exists in neurological patients with acquired brain lesions is an open question. Given the trait-like characteristics of psychological well-being, we hypothesized that psychological well-being would be stable in neurological patients who are in the chronic epoch of recovery (≥3 months after the neurological event). Eighty participants (women = 40; age: M = 56, standard deviation ( SD) = 13) completed the Ryff Scales of Psychological Well-Being (PWBS) twice between 2016 and 2020 (Time 1 [T1] and Time 2 [T2]). The Ryff Scales measure various facets of well-being, including autonomy, environmental mastery, personal growth, positive relations with others, purpose in life, and self-acceptance. Approximately half of participants completed their T2 assessment during the COVID-19 pandemic, creating an opportunity to investigate the effects of the pandemic on the stability of psychological well-being in a neurological population that may be particularly vulnerable to reduced well-being in this context. Pearson correlations and within-sample t tests were conducted to examine the stability of self-reported well-being over time. Test–retest correlations ranged from .71 to .87, and no significant differences in well-being emerged across the two time points. Significant correlations between T1 and T2 were also evident in the subsample of participants who completed their second assessment during the COVID-19 pandemic. These findings provide evidence that long-term psychological well-being is remarkably reliable and consistent over time in patients who have experienced a major neurological event, even when an unprecedented global event occurred between measurement epochs. Treatment implications of these findings are discussed.

A scoping review to identify process and outcome measures used in acceptance and commitment therapy research, with adults with acquired neurological conditions

Background Acceptance and Commitment Therapy interventions are increasing in use in neurological populations. There is a lack of information on the measures available. Purpose To identify and classify the measures used in Acceptance and Commitment Therapy research studies with adults with acquired neurological conditions. Methods PRISMA-ScR guided scoping review. MEDLINE, PsycInfo and CINAHL databases searched (up to date 29/06/2022) with forward and backward searching. All study types included. Extraction of Acceptance and Commitment Therapy process-of-change and health-related outcome measures. Outcomes coded using the Core Outcome Measures in Effectiveness Trials (COMET) taxonomy. Results Three hundred and thirty three papers found on searching. Fifty four studies included and 136 measurement tools extracted. Conditions included multiple sclerosis, traumatic brain injury and stroke. Thirty-eight studies measured processes of change, with 32 measures extracted. The process measure most often used was the Acceptance and Action Questionnaire (n = 21 studies). One hundred and four health-related outcome measures extracted. Measures exploring quality of life, health status, anxiety and depression occurred most frequently, and were used in all included neurological conditions. COMET domains most frequently coded were emotional functioning/well-being (n = 50), physical functioning (n = 32), role functioning (n = 22) and psychiatric (n = 22). Conclusions This study provides a resource to support future identification of candidate measures. This could aid development of a Core Outcome Set to support both research and clinical practice. Further research to identify the most appropriate and relevant targets and tools for use in these populations should include expert consensus, patient, carer and public involvement and psychometric examination of measures.

Improving Inertial Sensor-Based Activity Recognition in Neurological Populations.

Inertial sensor-based human activity recognition (HAR) has a range of healthcare applications as it can indicate the overall health status or functional capabilities of people with impaired mobility. Typically, artificial intelligence models achieve high recognition accuracies when trained with rich and diverse inertial datasets. However, obtaining such datasets may not be feasible in neurological populations due to, e.g., impaired patient mobility to perform many daily activities. This study proposes a novel framework to overcome the challenge of creating rich and diverse datasets for HAR in neurological populations. The framework produces images from numerical inertial time-series data (initial state) and then artificially augments the number of produced images (enhanced state) to achieve a larger dataset. Here, we used convolutional neural network (CNN) architectures by utilizing image input. In addition, CNN enables transfer learning which enables limited datasets to benefit from models that are trained with big data. Initially, two benchmarked public datasets were used to verify the framework. Afterward, the approach was tested in limited local datasets of healthy subjects (HS), Parkinson's disease (PD) population, and stroke survivors (SS) to further investigate validity. The experimental results show that when data augmentation is applied, recognition accuracies have been increased in HS, SS, and PD by 25.6%, 21.4%, and 5.8%, respectively, compared to the no data augmentation state. In addition, data augmentation contributes to better detection of stair ascent and stair descent by 39.1% and 18.0%, respectively, in limited local datasets. Findings also suggest that CNN architectures that have a small number of deep layers can achieve high accuracy. The implication of this study has the potential to reduce the burden on participants and researchers where limited datasets are accrued.

Task-based functional MRI challenges in clinical neuroscience: Choice of the best head motion correction approach in multiple sclerosis.

Functional MRI (fMRI) is commonly used for understanding brain organization and connectivity abnormalities in neurological conditions, and in particular in multiple sclerosis (MS). However, head motion degrades fMRI data quality and influences all image-derived metrics. Persistent controversies regarding the best correction strategy motivates a systematic comparison, including methods such as scrubbing and volume interpolation, to find optimal correction models, particularly in studies with clinical populations prone to characterize by high motion. Moreover, strategies for correction of motion effects gain more relevance in task-based designs, which are less explored compared to resting-state, have usually lower sample sizes, and may have a crucial role in describing the functioning of the brain and highlighting specific connectivity changes. We acquired fMRI data from 17 early MS patients and 14 matched healthy controls (HC) during performance of a visual task, characterized motion in both groups, and quantitatively compared the most used and easy to implement methods for correction of motion effects. We compared task-activation metrics obtained from: (i) models containing 6 or 24 motion parameters (MPs) as nuisance regressors; (ii) models containing nuisance regressors for 6 or 24 MPs and motion outliers (scrubbing) detected with Framewise Displacement or Derivative or root mean square VARiance over voxelS; and (iii) models with 6 or 24 MPs and motion outliers corrected through volume interpolation. To our knowledge, volume interpolation has not been systematically compared with scrubbing, nor investigated in task fMRI clinical studies in MS. No differences in motion were found between groups, suggesting that recently diagnosed MS patients may not present problematic motion. In general, models with 6 MPs perform better than models with 24 MPs, suggesting the 6 MPs as the best trade-off between correction of motion effects and preservation of valuable information. Parsimonious models with 6 MPs and volume interpolation were the best combination for correcting motion in both groups, surpassing the scrubbing methods. A joint analysis regardless of the group further highlighted the value of volume interpolation. Volume interpolation of motion outliers is an easy to implement technique, which may be an alternative to other methods and may improve the accuracy of fMRI analyses, crucially in clinical studies in MS and other neurological populations.

A Study Protocol to Evaluate the Effects of Vestibular Training on the Postural Control of Healthy Adults Using Virtual Reality

Postural instability is a common symptom of vestibular dysfunction due to an insult to the vestibular system. Vestibular rehabilitation is effective in decreasing dizziness and visual symptoms, and improving postural control through several mechanisms, including sensory reweighting. As part of the sensory reweighting mechanisms, vestibular activation training with headshake activities influences vestibular reflexes. However, combining challenging vestibular and postural tasks to facilitate more effective rehabilitation outcomes is underutilized. Our research goal is to develop a virtual reality vestibular rehabilitation method for vestibular-postural control in neurological populations with vestibular and/or sensorimotor control impairment. The NeuroCom® SMART Balance Master (Natus Medical Inc., Pleasanton, CA, USA), which was used in a prior study, is expensive and bulky. Hence, a novel study protocol is established in this paper with the detailed objectives and pre-/post-intervention data analysis pipeline (ANOVA, t-test, post hoc analysis, etc.) involving modern off-the-shelf sensors and custom instrumentation (electromyography, electrooculography, video head impulse testing, force plates, and virtual reality headsets). It is expected that the training will significantly decrease vestibuloocular reflex gains and eye movement variability, as well as reweight the somatosensory ratio, finetune postural muscle activation, and consequently improve postural flexibility and produce a faster automatic postural response. The findings may have implications for the future development of vestibular rehabilitation protocols.

Evaluating the validity of a functional electrical stimulation clinical decision making tool: A qualitative study

Following central nervous system damage, the recovery of motor function is a priority. For some neurological populations, functional electrical stimulation (FES) is recommended in best practice guidelines for neurorehabilitation. However, limited resources exist to guide FES application, despite clinicians reporting that a lack of FES knowledge prevents use in clinical practice. The FES Clinical Decision Making Tool was developed to assist clinicians with FES application and translation into clinical practice. The purpose of this study was to evaluate the content validity of the Tool from the perspectives of Canadian physical and occupational therapists using FES in neurorehabilitation. Thirteen participants (twelve women, one man), aged 40.5 ± 10.3 years, participated in individual semi-structured interviews to explore their clinical decision making experiences when applying FES and to evaluate the content validity (i.e., appropriateness, comprehensibility, and comprehensiveness) of the Tool. Interviews were analyzed using a qualitative conventional content analysis following the DEPICT model. Three themes were identified. 1) Clinician context influences FES usage. Participants' experiences with FES use varied and application was influenced by treatment goals. 2) Parameter selection in clinical practice. Participants identified decision-making strategies and the challenges of parameter selection. 3) With modifications, the Tool is a valid resource to inform FES applications. Participants discussed its strengths, limitations, and suggested changes. While the Tool is useful, a more extensive resource (e.g., appendix) for the Tool is warranted. A revised Tool was created to improve its comprehensiveness and comprehensibility. Thus, the Tool is a valid resource for applying FES in neurorehabilitation.

An examination of retrieval practice and production training in the treatment of lexical-semantic comprehension deficits in aphasia.

Little research has addressed the treatment of lexical-semantic comprehension deficits (i.e., difficulty retrieving the meanings of words) in people with aphasia (PWA). Research suggests that practice retrieving names for depicted objects from long-term memory (production-based retrieval practice) more strongly benefits word retrieval for production in PWA compared to errorless learning (i.e., word repetition), which eschews retrieval practice. This study assessed whether production-based and comprehension-based retrieval practice enhance performance on errorful word-comprehension items in PWA measured relative to nonretrieval forms of training and untrained control items. In a within-participant group study of PWA, errorful comprehension items were assigned to (a) a production-based training module (retrieval practice vs. errorless learning); (b) a comprehension-based training module (a receptive form of retrieval practice vs. restudy). Each module comprised one training session and a 1-day and 1-week comprehension posttest on the module's trained items and an untrained item set. The comprehension module conditions produced similar and superior posttest performance relative to untrained items. Both production module conditions improved posttest performance relative to untrained items, with retrieval practice conferring more durable learning and generalization indicative of refinement of semantic representations compared to errorless learning. Results suggest comprehension- and production-based forms of training are both beneficial for improving lexical-semantic deficits in aphasia, with production-based retrieval practice conferring additional benefits to the targeted deficit compared to errorless learning. Future studies should examine these learning factors in schedules of training more commensurate with clinical practice and in other neurological populations (e.g., semantic dementia). (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Accuracy of neuropathic pain measurements in patients with symptoms of polyneuropathy: validation of painDETECT, Self-Completed Leeds Assessment of Neuropathic Symptoms and Signs, and Douleur Neuropathique 4.

Pain is a common symptom in patients referred to polyneuropathy assessment. Diagnostic evaluation and choice of treatment may depend on whether the pain is likely to be neuropathic or not. This study aimed to investigate the diagnostic accuracy of 3 tools commonly used to differentiate between neuropathic and nonneuropathic pain. To accomplish this, we included patients with bilateral distal lower extremity pain, referred to neurological outpatient clinics at 5 Norwegian University hospitals for polyneuropathy assessment. The patients filled in Norwegian versions of painDETECT, the Self-Completed Leeds Assessment of Neuropathic Symptoms and Signs (S-LANSS), and the clinician-rated Douleur Neuropathique 4 (DN4). All patients underwent a clinical examination and nerve conduction measurements and were classified according to the NeuPSIG neuropathic pain criteria (reference standard). In total, 729 patients were included, of which 63% had neuropathic pain by the reference standard. Only DN4 demonstrated high sensitivity (0.87), whereas all 3 tools had low specificity (≤0.65). Importantly, the tools' predictive ability was unsatisfactory; The probability of getting a correct test result was 3 quarters at best, and at worst, no better than two fifths. Consequently, we show that neither DN4, painDETECT, nor S-LANSS can be confidently used to assess neuropathic pain in a neurological outpatient population with symptoms of polyneuropathy.

Sex-dependent neuro-deconvolution analysis of Alzheimer's disease brain transcriptomes according to CHI3L1 expression levels

Glial activation and related neuroinflammatory processes play a key role in the aging and progression of Alzheimer's disease (AD). CHI3L1/ YKL40 is a widely investigated chitinase in neurodegenerative diseases and recent studies have shown its involvement in aging and AD. Nevertheless, the biological function of CHI3L1 in AD is still unknown. Here, we collected microarray datasets from the National Center for Biotechnology Information (NCBI) brain samples of not demented healthy controls (NDHC) who died from causes not attributable to neurodegenerative disorders (n = 460), and of deceased patients suffering from Alzheimer's disease (AD) (n = 697). The NDHC and AD patients were stratified according to CHI3L1 expression levels as a cut-off. We identified two groups both males and females, subsequently used for our statistical comparisons: the high CHI3L1 expression group (HCEG) and the low CHI3L1 expression group (LCEG). Comparing HCEG to LCEG, we attained four signatures according to the sex of patients, in order to identify the healthy and AD brain cellular architecture, performing a genomic deconvolution analysis. We used neurological signatures (NS) belonging to six neurological cells populations and nine signatures that included the main physiological neurological processes. We discovered that, in the brains of NDHC the high expression levels of CHI3L1 were associated with astrocyte activation profile, while in AD males and females we showed an inflammatory profile microglia-mediated. The low CHI3L1 brain expression levels in NDHC and AD patients highlighted a neuronal activation profile. Furthermore, using drugs opposing CHI3L1 transcriptomic signatures, we found a specific drug profile for AD males and females characterized by high levels of CHI3L1 composed of fostamatinib, rucaparib, cephaeline, prednisolone, and dinoprostone. Brain levels of CHI3L1 in AD patients represent a biological signature that allows distinguishing between males and females and their likely cellular brain architecture.

Gait smoothness using wearable sensors in patients with neurological disorders: a comparison of different metrics

Smoothness (i.e. non-intermittency) of movement [1] is a clinically relevant parameter, proven to decrease in neurological populations, like Multiple Sclerosis (MS) or Traumatic Brain Injury (TBI). Many metrics have been proposed to quantify smoothness, differing in the considered data source and mathematical approach, and mainly focused on upper limbs movements [2]. Although locomotion is a major component of daily physical activities and a key to functional independence, it is unclear whether and how these metrics can be applied to locomotion [3]. In addition, inertial measurement units (IMUs) are increasingly used to estimate gait smoothness [1,4], however no consensus exists about which IMU signal and metrics should be considered. The aim of this study is to compare two metrics commonly used to quantify movement smoothness, considering as data source both acceleration and angular velocity signals measured during locomotion in MS and TBI populations as well as in healthy subjects. Thirty-three patients suffering from MS (24 F; 49.8±9.3 y; EDSS 4.0±1.6), 30 patients suffering from TBI (11 F; 35.8±12.8 y; DGI 17.3±4.7), and 43 healthy adults (HC) (12 F; 33.0±10.8 y) were enrolled in this study (CE/PROG.700). Three IMUs (APDM Opal, 128 Hz) were located on the lower trunk and on both legs. Participants performed a 10 m walk Test (10mWT) for three times. Stride segmentation was performed using leg-mounted IMUs, and two smoothness parameters were calculated for each stride and each direction (antero-posterior AP, medio-lateral ML, cranio-caudal CC) using trunk linear accelerations ( a ) and angular velocities ( w ) as source data: the Spectral Arc Length (SPARC) and the log dimensionless jerk (LDLJ) [1]. Median and inter quartile range (IQR) were calculated over all strides for each participant and the IQR/median was obtained for each metrics. To test the effect of the considered populations (MS, TBI, HC) and of the considered metrics (SPARC a , SPACR w , LDLJ a , LDLJ w ) on the results, a mixed model ANOVA was run after verifying for normal data distribution. Post- hoc analysis was also performed using Bonferroni-Holmes correction for multiple comparisons. Both population and metrics significantly influenced the smoothness values (p<0.001), with a significant interaction between these two factors (p<0.01). The IQR/median ratio was significantly smaller for LDLJ with respect to SPARC for both acceleration and angular velocity signals (p<0.001) (Fig. 1). The considered metrics and data source influence the final gait smoothness outcome and, thus, its clinical interpretation. LDLJ is characterized by a significant smaller variability with respect to SPARC and can discriminate not only between HC and the two neurological populations, but also between MS and TBI. Both LDLJ a and LDLJ w are good candidates for quantifying smoothness during locomotion.

A neurophonetic approach to articulation planning: The case of apraxia of speech

This article addresses the question of whether data from neurological populations can inform basic phonetic research. An approach is reviewed in which speech error data from patients with articulation disorders after a stroke were used to model articulation planning processes.The first section addresses a controversy in cognitive neuroscience about the extent to which data from neurological patients can enrich research in cognitive science at all. It introduces post-stroke apraxia of speech (AOS) as a clinical model of a process termed speech motor planning, suggesting that speech data from patients with AOS can inform phonetic theories about articulatory control.The second section explains how speech error data from patients with AOS were used to develop a measure of articulatory ease that integrates facilitating and complicating factors across different phonological levels, from the articulatory gesture to the phonological word.Section 3 presents previously unpublished data to exemplify how this model can be applied to typical speech, e.g., in studies investigating interactions between lexical and articulatory parameters or in developmental studies of word learning. In a final section, the main line of reasoning is summarized and limitations of this work are discussed.

Cumulative Effect of Head Injuries on Nonmotor Outcomes in Parkinson's Disease.

Parkinson's disease (PD) is a neurodegenerative movement disorder that is a result of dopamine depletion in the basal ganglia. Individuals with a PD diagnosis experience motor symptoms (e.g., tremors) and nonmotor symptoms (e.g., cognitive decline). Previous studies suggest that progression of cognitive dysfunction in other neurologic populations can be predicted by cumulative head injuries. The study examined the association between lifelong number of head injuries and nonmotor outcomes (cognitive complaints, depression, and quality of life). Participants consisted of 3,483 individuals with PD diagnoses who were enrolled in the Fox Insight study. Participants completed a self-report questionnaire to quantify the number of head injuries experienced throughout life. Participants also completed measures of nonmotor outcomes (cognitive complaints, depression, and quality of life) every 6 months over a 3-year period. Cognitive complaints were more common among those experiencing more head injuries. Further, more severe depression and greater difficulties in quality of life were reported among individuals experiencing a greater number of head injuries. Additional analyses revealed the effect between cognitive complaints and number of head injuries was driven by individuals who experienced five or more head injuries in their lifetime. Among individuals with PD, a patient report of past head injuries may have prognostic implications for important nonmotor outcomes. Report of multiple head injuries may be particularly concerning.

Corticospinal Excitability Quantification During a Visually-Guided Precision Walking Task in Humans: Potential for Neurorehabilitation

The corticospinal tract has been shown to be involved in normal walking in humans. However, its contribution during more challenging locomotor tasks is still unclear. As the corticospinal tract can be a potential target to promote gait recovery after neurological injury, it is of primary importance to quantify its use during human walking. The aims of the current study were to: (1) quantify the effects of precision walking on corticospinal excitability as compared to normal walking; (2) assess if corticospinal modulation is related to task difficulty or participants’ performance. Sixteen healthy participants walked on a treadmill during 2 tasks: regular walking (simple task) and stepping onto virtual targets (precision task). Virtual targets appeared randomly at 3 different step lengths: preferred, and ±20%. To assess corticospinal excitability, 25 motor evoked potentials (MEPs) were recorded from the tibialis anterior muscle in each task during walking. Performance for each participant (global success score; % of target hit) and task difficulty related to step length adjustments (success score for each step length) were also calculated. MEP size was larger during the precision task in all participants (mean increase of 93% ± 72%; P < .05) compared to the simple task. There was a correlation between MEP facilitation and individual performance (r = −.64; P < .05), but no difference in MEP size associated with task difficulty (P > .05). In conclusion, corticospinal excitability exhibits a large increase during the precision task. This effect needs to be confirmed in neurological populations to potentially provide a simple and non-invasive approach to increase corticospinal drive during gait rehabilitation.

The Italian McGill Quality of Life Questionnaire-Revised (MQoL-R): Psychometrics in Neurological and Neoplastic Populations.

The McGill Quality of Life Questionnaire-Revised (MQoL-R) is the gold standard for assessing QoL in end-of-life, chronic patients; however, an Italian standardization is lacking. This study aimed at assessing the psychometric properties of the Italian MQoL-R in patients with chronic neurological/oncological conditions. 177 inpatients with life-threatening, chronic neurological/oncological conditions were consecutively recruited in 8 clinics in Northern/Southern Italy were administered the MQoL-R and the Karnofsky Performance Status (KPS). Factorial structure (Confirmatory Factor Analysis, CFA), reliability (Cronbach's α) and construct validity against the KPS (Pearson's coefficients) were examined. The four-factor model (Physical, Psychological, Existential and Social subscales) was met (comparative fit index = .93; root mean square error of approximation = .07), with all items significantly loading on respective subscales. Internal consistency was good for both the whole scale (Cronbach's α = .83) and subscales (range = .6-.85). The KPS was unrelated to MQoL-R measures, except for the Physical subscale (r = .24). The Italian MQoL-R is a valid and reliable tool to assess QoL in end-of-life, both neoplastic and neurological, chronic inpatients undergoing palliative care, whose adoption is thus encouraged in both clinical practice and research addressed to such populations.

Clinical Motor Coordination Tests in Adult Neurology: A Scoping Review.

Purpose: This scoping review aimed to identify which clinical tests are used to assess upper limb, lower limb, and trunk motor coordination, and their metric and measurement properties for adult neurological populations. Method: MEDLINE (1946-) and EMBASE (1996-) databases were searched using keywords such as movement quality, motor performance, motor coordination, assessment, and psychometrics. Data regarding the body part assessed, neurological condition, psychometric properties, and scored metrics of spatial and/or temporal coordination were independently extracted by two reviewers. Alternate versions of some tests such as the Finger-to-Nose Test were included. Results: Fifty-one included articles yielded 2 tests measuring spatial coordination, 7 tests measuring temporal coordination, and 10 tests measuring both. Scoring metrics and measurement properties differed between tests, with a majority of tests having good-to-excellent measurement properties. Conclusions: The metrics of motor coordination scored by current tests vary. Since tests do not assess functional task performance, the onus falls on clinicians to infer the connection between coordination impairments and functional deficits. Clinical practice would benefit from the development of a battery of tests that assesses the metrics of coordination related to functional performance.

The Italian telephone-based Verbal Fluency Battery (t-VFB): standardization and preliminary clinical usability evidence.

BackgroundThis study aimed at standardizing and providing preliminary evidence on the clinical usability of the Italian telephone-based Verbal Fluency Battery (t-VFB), which includes phonemic (t-PVF), semantic (t-SVF) and alternate (t-AVF) verbal fluency tasks.MethodsThree-hundred and thirty-five Italian healthy participants (HPs; 140 males; age range = 18–96 years; education range = 4–23 years) and 27 individuals with neurodegenerative or cerebrovascular diseases were administered the t-VFB. Switch number and cluster size were computed via latent semantic analyses. HPs underwent the telephone-based Mental State Examination (MMSE) and Backward Digit Span (BDS). Construct validity, factorial structure, internal consistency, test-retest and inter-rater reliability and equivalence with the in-person Verbal Fluency tasks were assessed. Norms were derived via Equivalent Scores. Diagnostic accuracy against clinical populations was assessed.ResultsThe majority of t-VFB scores correlated among each other and with the BDS, but not with the MMSE. Switch number correlated with t-PVF, t-SVF, t-AVF scores, whilst cluster size with the t-SVF and t-AVF scores only. The t-VFB was underpinned by a mono-component structure and was internally consistent (Cronbach’s α = 0.91). Test-retest (ICC = 0.69–0.95) and inter-rater reliability (ICC = 0.98–1) were optimal. Each t-VFB test was statistically equivalent to its in-person version (equivalence bounds yielding a p < 0.05). Education predicted all t-VFB scores, whereas age t-SVF and t-AVF scores and sex only some t-SVF scores. Diagnostic accuracy against clinical samples was optimal (AUC = 0.81–0.86).DiscussionThe t-VFB is a valid, reliable and normed telephone-based assessment tool for language and executive functioning, equivalent to the in-person version; results show promising evidence of its diagnostic accuracy in neurological populations.

A reusable benchmark of brain-age prediction from M/EEG resting-state signals

Population-level modeling can define quantitative measures of individual aging by applying machine learning to large volumes of brain images. These measures of brain age, obtained from the general population, helped characterize disease severity in neurological populations, improving estimates of diagnosis or prognosis. Magnetoencephalography (MEG) and Electroencephalography (EEG) have the potential to further generalize this approach towards prevention and public health by enabling assessments of brain health at large scales in socioeconomically diverse environments. However, more research is needed to define methods that can handle the complexity and diversity of M/EEG signals across diverse real-world contexts. To catalyse this effort, here we propose reusable benchmarks of competing machine learning approaches for brain age modeling. We benchmarked popular classical machine learning pipelines and deep learning architectures previously used for pathology decoding or brain age estimation in 4 international M/EEG cohorts from diverse countries and cultural contexts, including recordings from more than 2500 participants. Our benchmarks were built on top of the M/EEG adaptations of the BIDS standard, providing tools that can be applied with minimal modification on any M/EEG dataset provided in the BIDS format. Our results suggest that, regardless of whether classical machine learning or deep learning was used, the highest performance was reached by pipelines and architectures involving spatially aware representations of the M/EEG signals, leading to R2 scores between 0.60-0.74. Hand-crafted features paired with random forest regression provided robust benchmarks even in situations in which other approaches failed. Taken together, this set of benchmarks, accompanied by open-source software and high-level Python scripts, can serve as a starting point and quantitative reference for future efforts at developing M/EEG-based measures of brain aging. The generality of the approach renders this benchmark reusable for other related objectives such as modeling specific cognitive variables or clinical endpoints.