Indoor Group Identification and Localization Using Privacy-Preserving Edge Computing Distributed Camera Network.

Social interaction behaviors change as a result of both physical and psychiatric problems, and it is important to identify subtle changes in group activity engagements for monitoring the mental health of patients in clinics. This work proposes a system to identify when and where group formations occur in an approximately 1700 m2 therapeutic built environment using a distributed edge-computing camera network. The proposed method can localize group formations when provided with noisy positions and orientations of individuals, estimated from sparsely distributed multiview cameras, which run a lightweight multiperson 2-D pose detection model. Our group identification method demonstrated an F1 score of up to 90% with a mean absolute error of 1.25 m for group localization on our benchmark dataset. The dataset consisted of seven subjects walking, sitting, and conversing for 35 min in groups of various sizes ranging from 2 to 7 subjects. The proposed system is low-cost and scalable to any ordinary building to transform the indoor space into a smart environment using edge computing systems. We expect the proposed system to enhance existing therapeutic units for passively monitoring the social behaviors of patients when implementing real-time interventions.

Discrepancies between self- and informant-ratings of functional abilities and objective cognition: predictors of bias in mild cognitive impairment.

OBJECTIVE: Self- and informant-ratings of functional abilities are used to diagnose mild cognitive impairment (MCI) and are commonly measured in clinical trials. Ratings are assumed to be accurate, yet they are subject to biases. Biases in self-ratings have been found in individuals with dementia who are older and more depressed and in caregivers with higher distress, burden, and education. This study aimed to extend prior findings using an objective approach to identify determinants of bias in ratings. METHOD: Participants were 118 individuals with MCI and their informants. Three discrepancy variables were generated including the discrepancies between (1) self- and informant-rated functional status, (2) informant-rated functional status and objective cognition (in those with MCI), and (3) self-rated functional status and objective cognition. These variables served as dependent variables in forward linear regression models, with demographics, stress, burden, depression, and self-efficacy as predictors. RESULTS: Informants with higher stress rated individuals with MCI as having worse functional abilities relative to objective cognition. Individuals with MCI with worse self-efficacy rated their functional abilities as being worse compared to objective cognition. Informant-ratings were worse than self-ratings for informants with higher stress and individuals with MCI with higher self-efficacy. CONCLUSION: This study highlights biases in subjective ratings of functional abilities in MCI. The risk for relative underreporting of functional abilities by individuals with higher stress levels aligns with previous research. Bias in individuals with MCI with higher self-efficacy may be due to anosognosia. Findings have implications for the use of subjective ratings for diagnostic purposes and as outcome measures.

Early within therapy naming probes as a clinically-feasible predictor of anomia treatment response.

This study investigated the relationship between early within-therapy probe naming performance and anomia therapy outcomes in individuals with aphasia. Thirty-four adults with chronic, post-stroke aphasia participated in the Aphasia Language Impairment and Functioning Therapy (Aphasia LIFT) programme, comprised of 48 h of comprehensive aphasia therapy. Sets of 30 treated and 30 untreated items identified at baseline were probed during impairment therapy which targeted word retrieval using a combined semantic feature analysis and phonological component analysis approach. Multiple regression models were computed to determine the relationship between baseline language and demographic variables, early within-therapy probe naming performance (measured after 3 h of impairment therapy) and anomia treatment outcomes. Early within-therapy probe naming performance emerged as the strongest predictor of anomia therapy gains at post-therapy and at 1-month follow-up. These findings have important clinical implications, as they suggest that an individual's performance after a brief period of anomia therapy may predict response to intervention. As such, early within-therapy probe naming may provide a quick and accessible tool for clinicians to identify potential response to anomia treatment.

Graph Trilateration for Indoor Localization in Sparsely Distributed Edge Computing Devices in Complex Environments Using Bluetooth Technology.

Spatial navigation patterns in indoor space usage can reveal important cues about the cognitive health of participants. In this work, we present a low-cost, scalable, open-source edge computing system using Bluetooth low energy (BLE) beacons for tracking indoor movements in a large, 1700 m2 facility used to carry out therapeutic activities for participants with mild cognitive impairment (MCI). The facility is instrumented with 39 edge computing systems, along with an on-premise fog server. The participants carry a BLE beacon, in which BLE signals are received and analyzed by the edge computing systems. Edge computing systems are sparsely distributed in the wide, complex indoor space, challenging the standard trilateration technique for localizing subjects, which assumes a dense installation of BLE beacons. We propose a graph trilateration approach that considers the temporal density of hits from the BLE beacon to surrounding edge devices to handle the inconsistent coverage of edge devices. This proposed method helps us tackle the varying signal strength, which leads to intermittent detection of beacons. The proposed method can pinpoint the positions of multiple participants with an average error of 4.4 m and over 85% accuracy in region-level localization across the entire study area. Our experimental results, evaluated in a clinical environment, suggest that an ordinary medical facility can be transformed into a smart space that enables automatic assessment of individuals' movements, which may reflect health status or response to treatment.

ASL MRI informs blood flow to chronic stroke lesions in patients with aphasia.

Introduction: Response to post-stroke aphasia language rehabilitation is difficult to anticipate, mainly because few predictors can help identify optimal, individualized treatment options. Imaging techniques, such as Voxel-based Lesion Symptom Mapping have been useful in linking specific brain areas to language behavior; however, further development is required to optimize the use of structural and physiological information in guiding individualized treatment for persons with aphasia (PWA). In this study, we will determine if cerebral blood flow (CBF) mapped in patients with chronic strokes can be further used to understand stroke-related factors and behavior. Methods: We collected perfusion MRI data using pseudo-Continuous Arterial Spin Labeling (pCASL) using a single post-labeling delay of 2,200 ms in 14 chronic PWA, along with high-resolution structural MRI to compute maps of tissue damage using Tissue Integrity Gradation via T2w T1w Ratio (TIGR). To quantify the CBF in chronic stroke lesions, we tested at what point spatial smoothing should be applied in the ASL analysis pipeline. We then related CBF to tissue damage, time since stroke, age, sex, and their respective cross-terms to further understand the variability in lesion CBF. Finally, we assessed the feasibility of computing multivariate brain-behavior maps using CBF and compared them to brain-behavior maps extracted with TIGR MRI. Results: We found that the CBF in chronic stroke lesions is significantly reduced compared to its homologue grey and white matter regions. However, a reliable CBF signal (although smaller than expected) was detected to reveal a negative relationship between CBF and increasing tissue damage. Further, the relationship between the lesion CBF and age, sex, time since stroke, and tissue damage and cross-terms suggested an aging-by-disease interaction. This relationship was strongest when smoothing was applied in the template space. Finally, we show that whole-brain CBF relates to domain-general visuospatial functioning in PWA. The CBF-based brain-behavior maps provide unique and complementary information to structural (lesion-based) brain-behavior maps. Discussion: Therefore, CBF can be detected in chronic stroke lesions using a standard pCASL MRI acquisition and is informative at the whole-brain level in identifying stroke rehabilitation targets in PWAs due to its relationship with demographic factors, stroke-related factors, and behavior.

A current and future perspective on T cell receptor repertoire profiling.

T cell receptors (TCR) play a vital role in the immune system's ability to recognize and respond to foreign antigens, relying on the highly polymorphic rearrangement of TCR genes. The recognition of autologous peptides by adaptive immunity may lead to the development and progression of autoimmune diseases. Understanding the specific TCR involved in this process can provide insights into the autoimmune process. RNA-seq (RNA sequencing) is a valuable tool for studying TCR repertoires by providing a comprehensive and quantitative analysis of the RNA transcripts. With the development of RNA technology, transcriptomic data must provide valuable information to model and predict TCR and antigen interaction and, more importantly, identify or predict neoantigens. This review provides an overview of the application and development of bulk RNA-seq and single-cell (SC) RNA-seq to examine the TCR repertoires. Furthermore, discussed here are bioinformatic tools that can be applied to study the structural biology of peptide/TCR/MHC (major histocompatibility complex) and predict antigenic epitopes using advanced artificial intelligence tools.

Methodologies for task-fMRI based prognostic biomarkers in response to aphasia treatment.

With the diversity in aphasia coupled with diminished gains at the chronic phase, it is imperative to deliver effective rehabilitation plans. Treatment outcomes have therefore been predicted using lesion-to-symptom mapping, but this method lacks holistic functional information about the language-network. This study, therefore, aims to develop whole-brain task-fMRI multivariate analysis to neurobiologically inspect lesion impacts on the language-network and predict behavioral outcomes in persons with aphasia (PWA) undergoing language therapy. In 14 chronic PWA, semantic fluency task-fMRI and behavioral measures were collected to develop prediction methodologies for post-treatment outcomes. Then, a recently developed imaging-based multivariate method to predict behavior (i.e., LESYMAP) was optimized to intake whole-brain task-fMRI data, and systematically tested for reliability with mass univariate methods. We also accounted for lesion size in both methods. Results showed that both mass univariate and multivariate methods identified unique biomarkers for semantic fluency improvements from baseline to 2-weeks post-treatment. Additionally, both methods demonstrated reliable spatial overlap in task-specific areas including the right middle frontal gyrus when identifying biomarkers of language discourse. Thus whole-brain task-fMRI multivariate analysis has the potential to identify functionally meaningful prognostic biomarkers even for relatively small sample sizes. In sum, our task-fMRI based multivariate approach holistically estimates post-treatment response for both word and sentence production and may serve as a complementary tool to mass univariate analysis in developing brain-behavior relationships for improved personalization of aphasia rehabilitation regimens.

"There are endless areas that they can use it for": speech-language pathologist perspectives of technology support for aphasia self-management.

BACKGROUND: Aphasia is a debilitating acquired language disorder that often persists as a chronic condition. However, long-term support options are scarce, necessitating the consideration of alternative approaches. Chronic condition self-management approaches, which aim to build self-efficacy and empower people to take responsibility for the day-to-day management of their health condition, may benefit people with aphasia (PwA). Technology is widely used in chronic condition self-management and investigation is required to determine whether it could play a role in aphasia self-management. OBJECTIVE: This study aimed to explore speech-language pathologist (SLP) perspectives on the potential use of technology to support aphasia self-management. METHODS: A qualitative study was conducted with 15 SLPs using semi-structured interviews. Qualitative content analysis was applied to verbatim transcripts to identify codes, categories, and sub-themes which were developed into themes. RESULTS: Three themes were identified: (1) technology supports holistic aphasia self-management by providing additional avenues for service delivery, overall communication, and learning opportunities thus enhancing independence and life participation; (2) SLP and communication partner (CP) assistance can support PwA to use technology for aphasia self-management; (3) considerations and potential barriers to PwA use of technology for aphasia self-management. CONCLUSIONS: Technology can support aphasia self-management by expanding service delivery options, allowing for increased frequency and intensity of therapy practise, and facilitating communication and participation. Personal, professional, and organizational barriers should be addressed in the development of technology-enabled aphasia self-management approaches. SLPs and CPs can offer PwA assistance with technology but may themselves need additional support. Solutions for identified barriers should be considered, such as providing training in the use of technology and implementing aphasia-friendly modifications.IMPLICATIONS FOR REHABILITATIONSelf-management approaches are being explored in the area of aphasia management as a means of offering a holistic, sustainable intervention option that meets the long-term needs of people with aphasia.A range of technology-based resources are currently used in chronic condition self-management and in aphasia therapy, and there are many possibilities for the use of technology in aphasia self-management approaches.Speech-language pathologists identified that technology could facilitate aphasia self-management by expanding service delivery options (e.g., real-time and asynchronous telepractice), enabling increased frequency and intensity of therapy through providing a means of independent practise, offering options for augmentative alternative communication, and enhancing life participation by supporting social communication and daily tasks.,Speech-language pathologists are interested in using technology for aphasia self-management; however, barriers related to organizational policies, individual experience and confidence using technology, and technology itself must be addressed.

"Self-management has to be the way of the future": Exploring the perspectives of speech-language pathologists who work with people with aphasia.

PURPOSE: Healthcare models have incorporated self-management approaches to facilitate increased patient responsibility for chronic condition management. As aphasia is a chronic condition, self-management may be beneficial for people with aphasia; however, the possible impacts of the language disorder on self-management must be acknowledged and addressed. Speech-language pathologists would likely be principal providers of self-management support; therefore, their perspectives should be sought when considering development of aphasia self-management approaches. This study aims to explore speech-language pathologist perspectives of aphasia self-management. METHOD: In-depth, semi-structured interviews conducted with 15 speech-language pathologists in Australia. Interview data analysed using qualitative content analysis. RESULT: Aphasia self-management was viewed as a person- and family-centred approach enabling comprehensive long-term care for people with aphasia and promoting control, responsibility, and independence. Speech-language pathologists were seen to have a substantial role providing self-management support and consultation, and training was required to expand this role. Communication partners and peer support were highly valued. Personal and environmental factors may influence successful aphasia self-management. Differences between aphasia self-management and chronic condition self-management were considered. CONCLUSION: Self-management could facilitate long-term sustainable aphasia management. Aphasia self-management approaches should factor in how to maximise communication partner and peer support. Aphasia-friendly self-management resources are necessary.

Knowledge About COVID-19 Symptoms, Transmission, and Prevention: The Relationship With Cognitive Status in Older Adults.

Objective: Advanced age poses an increased risk for cognitive impairment, and therefore, poor knowledge regarding the risks associated with COVID-19 may confer vulnerability. We administered a COVID-19 Knowledge Questionnaire to older persons to evaluate the association between knowledge regarding public health recommendations, and cognitive status as measured by the Montreal Cognitive Assessment (MoCA). Method: Ninety-nine participants completed a 22-item questionnaire about COVID-19 symptoms, risks, and protective strategies, and they also completed the MoCA. Associations between knowledge and cognitive status were examined via Spearman correlations. Results: The mean (SD) age of participants was 72.6 (7.6) years, and MoCA scores averaged 23.4 (4.5) points. Higher MoCA total scores were significantly (p < .001) correlated with a greater number of correct questionnaire responses. Higher Orientation and Memory Index scores were moderately associated with an increased number of correct responses (p < .001), with the Executive Index exhibiting a significant albeit weaker association. MoCA Index scores assessing attention, language, and visuospatial functioning were not significantly associated with COVID-19 knowledge. Conclusions: Given the rapid transmission rate of the SARS CoV-2 infections, COVID knowledge lapses will likely have deleterious repercussions. Public health messages should ensure effective acquisition and retention of COVID specific information, especially in cognitively compromised older adults.

People with aphasia share their views on self-management and the role of technology to support self-management of aphasia.

PURPOSE: Self-management can lead to increased self-efficacy and improved quality of life for individuals with chronic conditions; however, there is little research exploring how self-management approaches can be used for chronic communication disorders, such as aphasia. Modifications to self-management approaches would be required to accommodate for aphasia; therefore, the input of people with aphasia (PwA) should be sought. The aims of the present study were: (1) To investigate and document the experiences and perspectives of PwA regarding self-management; (2) To explore how technology can be used to support aphasia self-management. MATERIALS AND METHODS: In-depth, semi-structured interviews were conducted with 26 PwA living in Australia. Qualitative content analysis was used to analyse interview data. RESULTS: Analysis resulted in six themes: (1) In self-management, PwA take control of life with aphasia and assume responsibility for engaging in opportunities to improve overall communication; (2) Community aphasia groups are important enablers of self-management because they facilitate peer support; (3) Communication partners (CPs) provide multifaceted support in aphasia self-management; (4) SLPs provide integrated support and coordination in aphasia self-management; (5) Technology supports PwA to self-manage speech therapy and communication in daily life; (6) Psychological and physical health issues and societal factors may impact aphasia self-management abilities. CONCLUSION: From the perspective of PwA, aphasia self-management involves enhancing skills enabling communication and life participation. PwA are central to aphasia self-management, with support provided by CPs, peers, and SLPs. Technology has a range of applications in aphasia self-management. PwA identified potential personal and contextual barriers that may impact self-management.IMPLICATIONS FOR REHABILITATIONFor people with aphasia, engaging in conversation and social interaction are primary means of managing/improving communicative life participation; therefore, this should be a key focus of aphasia self-management programs.Aphasia self-management approaches should maximise the use of available support and provide tailored information, education, and training in the area of self-management to key stakeholders (people with aphasia, communication partners, and speech-language pathologists).People with aphasia should be supported to use technology for aphasia self-management, encompassing communication specific and daily life use.People with aphasia should be heavily involved in the development of structured aphasia self-management approaches.

Communication partner perspectives of aphasia self-management and the role of technology: an in-depth qualitative exploration.

PURPOSE: "Self-management" empowers individuals to take responsibility for their healthcare through skill-building, personal growth, and self-efficacy related to chronic health condition management. Self-management approaches may benefit people with aphasia (PwA); however, PwA are often excluded from stroke self-management research and there is no published research reporting on aphasia-specific self-management programs. Communication partners (CPs) are involved in the rehabilitation and day-to-day lives of PwA, thus giving them unique insights and knowledge of PwA needs. The present study aimed to investigate CP experiences and perspectives regarding aphasia self-management and to explore CP perceptions of the use of technology in aphasia self-management. METHODS: In-depth, semi-structured interviews with 14 CPs living in Australia. Interview data was analysed using qualitative content analysis. RESULTS: Analysis revealed six core themes: (1) aphasia self-management is embedded into everyday life, (2) CPs provide comprehensive self-management support, (3) speech-language pathologists (SLPs) provide tools and support to enable PwA to self-manage, (4) aphasia self-management can be enhanced by technological supports, (5) potential positive outcomes of aphasia self-management, and (6) factors influencing successful aphasia self-management. CONCLUSIONS: Aphasia self-management programs should focus on individual needs, functional communication in daily life, and social interaction. PwA and CPs are central to these programs, assisted by SLPs. Technology should be explored to augment aphasia self-management.Implications for RehabilitationCommunication partners suggest that people with aphasia are already engaging in aspects of self-management and that more formal aphasia-specific self-management approaches may be beneficial.Dedicated aphasia self-management programs should be situated in daily life with a focus on functional communication, life participation, confidence, and independence.Communication partners, speech-language pathologists, and technology are key support sources for aphasia self-management.Further input should be sought from communication partners in the development of aphasia self-management programs.

Motivation as a Predictor of Aphasia Treatment Outcomes: A Scoping Review.

Purpose: Motivation is a complex phenomenon that can influence a person's ability to make progress in treatment. We sought to understand how motivation is currently measured and utilized in aphasia rehabilitation by identifying treatment studies that (1) include measurement of motivation and (2) use motivation to predict treatment response. Method: A scoping review was conducted by systematically searching PubMed, CINAHL, EBSCO, Ovid MEDLINE, and APA PsycInfo using the following search terms: (measurement OR treatment OR rehabilitation OR predict*) AND (motiv* OR engagement OR adherence OR compliance) AND (aphasia OR dysphasia). Results: Two studies met our inclusion criteria. Motivation was measured differently across studies. No studies used motivation to predict treatment outcomes. Discussion/Conclusions: Despite the importance of motivation in aphasia rehabilitation success, studies that include its measurement are sparse. Additional research is needed and should include development of measurement tools and evaluation of the predictive value of motivation on treatment outcomes.

Not All Lesioned Tissue Is Equal: Identifying Pericavitational Areas in Chronic Stroke With Tissue Integrity Gradation via T2w T1w Ratio.

Stroke-related tissue damage within lesioned brain areas is topologically non-uniform and has underlying tissue composition changes that may have important implications for rehabilitation. However, we know of no uniformly accepted, objective non-invasive methodology to identify pericavitational areas within the chronic stroke lesion. To fill this gap, we propose a novel magnetic resonance imaging (MRI) methodology to objectively quantify the lesion core and surrounding pericavitational perimeter, which we call tissue integrity gradation via T2w T1w ratio (TIGR). TIGR uses standard T1-weighted (T1w) and T2-weighted (T2w) anatomical images routinely collected in the clinical setting. TIGR maps are analyzed with relation to subject-specific gray matter and cerebrospinal fluid thresholds and binned to create a false colormap of tissue damage within the stroke lesion, and these are further categorized into low-, medium-, and high-damage areas. We validate TIGR by showing that the cerebral blood flow within the lesion reduces with greater tissue damage (p = 0.005). We further show that a significant task activity can be detected in pericavitational areas and that medium-damage areas contain a significantly lower magnitude of hemodynamic response function than the adjacent damaged areas (p < 0.0001). We also demonstrate the feasibility of using TIGR maps to extract multivariate brain-behavior relationships (p < 0.05) and show general agreement in location compared to binary lesion, T1w-only, and T2w-only maps but that the extent of brain behavior maps may depend on signal sensitivity as denoted by the sparseness coefficient (p < 0.0001). Finally, we show the feasibility of quantifying TIGR in early and late subacute stroke phases, where higher-damage areas were smaller in size (p = 0.002) and that lesioned voxels transition from lower to higher damage with increasing time post-stroke (p = 0.004). We conclude that TIGR is able to (1) identify tissue damage gradient within the stroke lesion across different post-stroke timepoints and (2) more objectively delineate lesion core from pericavitational areas wherein such areas demonstrate reasonable and expected physiological and functional impairments. Importantly, because T1w and T2w scans are routinely collected in the clinic, TIGR maps can be readily incorporated in clinical settings without additional imaging costs or patient burden to facilitate decision processes related to rehabilitation planning.

The Acute Effects of Different Exercise Intensities on Associative Novel Word Learning in Healthy Older Adults: A Randomized Controlled Trial.

Recent studies show positive effects of acute exercise on language learning in young adults with lower baseline learning abilities; however, this is yet to be investigated in older adults. This study investigated the acute effects of different exercise intensities on new word learning in healthy older adults with lower and higher baseline learning abilities. Sixty older adults (mean age = 66.4 (4.6); 43 females) performed either a single bout of stretching exercise, moderate-intensity continuous exercise, or high-intensity interval exercise followed by a word learning task. In lower baseline learners, between-group differences were observed on immediate new word recall success, with the moderate-intensity continuous exercise group performing better than the stretching group. These findings suggest immediate benefits of moderate-intensity continuous exercise that are limited to word learning performance of older adults with lower baseline learning abilities. Further investigation into underlying mechanisms could lead to a better understanding of individual differences in responding to acute exercise.

The effect of time since stroke, gender, age, and lesion size on thalamus volume in chronic stroke: a pilot study.

Recent stroke studies have shown that the ipsi-lesional thalamus longitudinally and significantly decreases after stroke in the acute and subacute stages. However, additional considerations in the chronic stages of stroke require exploration including time since stroke, gender, intracortical volume, aging, and lesion volume to better characterize thalamic differences after cortical infarct. This cross-sectional retrospective study quantified the ipsilesional and contralesional thalamus volume from 69 chronic stroke subjects' anatomical MRI data (age 35-92) and related the thalamus volume to time since stroke, gender, intracortical volume, age, and lesion volume. The ipsi-lesional thalamus volume was significantly smaller than the contra-lesional thalamus volume (t(68) = 13.89, p < 0.0001). In the ipsilesional thalamus, significant effect for intracortical volume (t(68) = 2.76, p = 0.008), age (t(68) = 2.47, p = 0.02), lesion volume (t(68) = - 3.54, p = 0.0008), and age*time since stroke (t(68) = 2.46, p = 0.02) were identified. In the contralesional thalamus, significant effect for intracortical volume (t(68) = 3.2, p = 0.002) and age (t = - 3.17, p = 0.002) were identified. Clinical factors age and intracortical volume influence both ipsi- and contralesional thalamus volume and lesion volume influences the ipsilesional thalamus. Due to the cross-sectional nature of this study, additional research is warranted to understand differences in the neural circuitry and subsequent influence on volumetrics after stroke.

Correcting Task fMRI Signals for Variability in Baseline CBF Improves BOLD-Behavior Relationships: A Feasibility Study in an Aging Model.

Blood Oxygen Level Dependent (BOLD) functional MRI is a complex neurovascular signal whose magnitude depends on baseline physiological factors such as cerebral blood flow (CBF). Because baseline CBF varies across the brain and is altered with aging, the interpretation of stand-alone aging-related BOLD changes can be misleading. The primary objective of this study was to develop a methodology that combines task fMRI and arterial spin labeling (ASL) techniques to sensitize task-induced BOLD activity by covarying out the baseline physiology (i.e., CBF) in an aging model. We recruited 11 younger and 13 older healthy participants who underwent ASL and an overt language fMRI task (semantic category member generation). We measured in-scanner language performance to investigate the effect of BOLD sensitization on BOLD-behavior relationships. The results demonstrate that our correction approach is effective at enhancing the specificity and sensitivity of the BOLD signal in both groups. In addition, the correction strengthens the statistical association between task BOLD activity and behavioral performance. Although CBF has inherent age dependence, our results show that retaining the age factor within CBF aides in greater sensitization of task fMRI signals. From a cognitive standpoint, compared to young adults, the older participants showed a delayed domain-general language-related task activity possibly due to compromised vessel compliance. Further, assessment of functional evolution of corrected BOLD activity revealed biphasic BOLD dynamics in both groups where BOLD deactivation may reflect greater semantic demand or increased premium on domain general executive functioning in response to task difficulty. Although it was promising to note that the predictability of behavior using the proposed methodology outperforms other methodologies (i.e., no correction and normalization by division), and provides moderate stability and adequate power, further work with a larger cohort and other task designs is necessary to improve the stability of predicting associated behavior. In summary, we recommend correction of task fMRI signals by covarying out baseline CBF especially when comparing groups with different neurovascular properties. Given that ASL and BOLD fMRI are well established and widely employed techniques, our proposed multi-modal methodology can be readily implemented into data processing pipelines to obtain more accurate BOLD activation maps.

Bridging the Digital Divide Among Racial and Ethnic Minority Men Who Have Sex With Men to Reduce Substance Use and HIV Risk: Mixed Methods Feasibility Study.

BACKGROUND: Ecological momentary assessment (EMA) is a promising data collection tool for mobile health interventions targeting episodic health behaviors. For substance-using men who have sex with men (SUMSM), EMA is becoming more widely utilized in efforts to characterize substance use and sexual risk factors for HIV transmission. However, recent literature demonstrates emerging concerns over compliance and lower EMA engagement and data concordance among racial and ethnic minority SUMSM. OBJECTIVE: This study aimed to provide a qualitative evaluation of the barriers and facilitators of EMA as a data collection tool among racial and ethnic minority SUMSM. METHODS: Between October and November 2017, 45 racial and ethnic minority SUMSM were recruited from a list of prior research participants at the San Francisco Department of Public Health to participate in daily EMA surveys on their substance use and sexual health behaviors for 1 week, followed by in-person focus groups (FGs). A total of 4 FGs explored the participants' experiences with the surveys, issues regarding privacy and confidentiality, and suggestions for improvement. Qualitative analysis was performed using content analysis. Descriptive statistics and Fisher exact tests were used to assess the associations between demographics or substance use behaviors and EMA completion. RESULTS: Overall, 93.9% (295/314) of all delivered surveys were initiated, and of those, 98.0% (289/295) were completed. Neither participant demographics, including race (P=.65) or age (P=.43), nor substance use behaviors, including the frequency of alcohol (P=.40) or methamphetamine (P=.91) use or any cocaine (P=.28), crack (P=.99), or polysubstance use (P=.24), were found to be associated with survey completion. Overall, participants were receptive to the text message-based EMA surveys. Facilitators included survey timing, user-friendly survey design, survey-stimulated self-reflection, coding of sensitive phrases, and other privacy benefits of a mobile survey. Barriers included an inability to correct texting errors and participants' perception of judgment or stigmatization related to questions about condomless sex. To improve EMA compliance and uptake, participants suggested adding response confirmations, clarifying survey language, and continuing to diversify the study audience. CONCLUSIONS: EMA appears to be feasible and acceptable among this sample of racial and ethnic minority SUMSM. Close attention to EMA study design and the development of nonjudgmental, contextualized questions regarding stigmatized health behaviors may be critical to further improve EMA compliance.

Neuroplasticity and aphasia treatments: new approaches for an old problem.

Given the profound impact of language impairment after stroke (aphasia), neuroplasticity research is garnering considerable attention as means for eventually improving aphasia treatments and how they are delivered. Functional and structural neuroimaging studies indicate that aphasia treatments can recruit both residual and new neural mechanisms to improve language function and that neuroimaging modalities may hold promise in predicting treatment outcome. In relatively small clinical trials, both non-invasive brain stimulation and behavioural manipulations targeting activation or suppression of specific cortices can improve aphasia treatment outcomes. Recent language interventions that employ principles consistent with inducing neuroplasticity also are showing improved performance for both trained and novel items and contexts. While knowledge is rapidly accumulating, larger trials emphasising how to select optimal paradigms for individualised aphasia treatment are needed. Finally, a model of how to incorporate the growing knowledge into clinical practice could help to focus future research.

A Preoperative Cognitive Screening Test Predicts Increased Length of Stay in a Frail Population: A Retrospective Case-Control Study.

BACKGROUND: Frailty is associated with adverse perioperative outcomes including major morbidity, mortality, and increased length of stay. We sought to elucidate the role that a preoperatively assessed Mini-Cog can play in assessing the risk of adverse perioperative outcomes in a population at high risk of frailty. METHODS: In this retrospective case-control study, patients who were >60 years of age, nonambulatory, or had >5 documented medications were preoperatively assessed for handgrip strength, walking speed, and Mini-Cog score. The Emory University Clinical Data Warehouse was then used to extract this information and other perioperative data elements and outcomes data. RESULTS: Data were available for 1132 patients undergoing a wide variety of surgical procedures. For the subset of 747 patients with data for observed-to-expected length of stay, an abnormal Mini-Cog was associated with an increased odds of observed-to-expected >1 (odds ratio, 1.52; 95% CI, 1.05-2.19; P = .025). There was no association of abnormal Mini-Cog with intensive care unit length of stay >3 days (P = .182) discharge to home with self-care (P = .873) or risk of readmission (P = .104). Decreased baseline hemoglobin was associated with increased risk of 2 of the 4 outcomes studied. CONCLUSIONS: In a high-risk pool of patients, Mini-Cog may not be sensitive enough to detect significant differences for most adverse outcomes. Further work is needed to assess whether cognitive screens with greater resolution are of value in this context and to compare tools for assessing overall frailty status.