Antibiotic Use in Hospital Urinary Tract Infections After FDA Regulation.

BACKGROUND: The FDA issued a "black box" warning regarding risks of fluoroquinolones in 2008 with updates in 2011, 2013, and 2016. OBJECTIVE: To examine antimicrobial use in hospital-treated UTIs from 2000 to 2020. DESIGN: Cross-sectional study with interrupted time series analysis. PARTICIPANTS: Patient encounters with a diagnosis of UTI from January 2000 to March 2020, excluding diagnoses of renal abscess, chronic cystitis, and infection of the gastrointestinal tract, lungs, or prostate. MAIN MEASURES: Monthly use of fluoroquinolone and non-fluoroquinolone antibiotics were assessed. Fluoroquinolone resistance was assessed in available cultures. Interrupted time series analysis examined level and trend changes of antimicrobial use with each FDA label change. KEY RESULTS: A total of 9,950,790 patient encounters were included. From July 2008 to March 2020, fluoroquinolone use declined from 61.7% to 11.7%, with similar negative trends observed in inpatients and outpatients, age ≥ 60 and < 60 years, males and females, patients with and without pyelonephritis, and across physician specialties. Ceftriaxone use increased from 26.4% encounters in July 2008 to 63.6% of encounters in March 2020. Among encounters with available culture data, fluoroquinolone resistance declined by 28.9% from 2009 to 2020. On interrupted time series analysis, the July 2008 FDA warning was associated with a trend change (-0.32%, < 0.001) and level change (-5.02%, p < 0.001) in monthly fluoroquinolone use. CONCLUSIONS: During this era of "black box" warnings, there was a decline in fluoroquinolone use for hospital-treated UTI with a concomitant decline in fluoroquinolone resistance and rise in ceftriaxone use. Efforts to restrict use of a medication class may lead to compensatory increases in use of a single alternative agent with changes in antimicrobial resistance profiles.

Insurer coverage of prostate cancer biomarkers.

INTRODUCTION: Several recently-developed prostate cancer (CaP) biomarkers are recommended per national guidelines, yet feasibility of obtaining these tests is unknown. We used a national database to assess insurance coverage of CaP biomarkers. MATERIALS AND METHODS: Insurance policies regarding 4K Score, ExoDx, My Prostate Score, Prostate Cancer Antigen 3, Prostate Health Index, and SelectMDx as of January 1, 2022 were extracted from the policy reporter database. Coverage was defined as a biomarker being deemed medically necessary, conditionally covered, or covered with prior authorization. Overall rates of biomarker coverage were compared by insurance type and region using Chi-squared test. SelectMDx was not covered by any queried policies and was omitted from analysis. RESULTS: A total of 186 insurance plans were identified among 131 payers. Of the 186 plans, 109 (59%) covered at least one biomarker, with prior authorization required for 38 (35%) of these plans. Prostate Cancer Antigen 3 and 4K Score had higher rates of coverage compared to ExoDx, Prostate Health Index, and My Prostate Score (52% and 43% vs. 26%, 26%, and 5%, respectively, P < 0.01). Medicare plans had higher rates of coverage compared to non-Medicare plans (80% Medicare vs. 17% commercial, 15% federal employer, and 13% Medicaid, P < 0.01), and nationwide plans had higher coverage rates compared to regional plans (43% nationwide vs. 32% midwest, 27% northeast, 25% south, 24% west, P < 0.01). Covered biomarkers under Medicare plans were less likely to require prior authorization compared to those covered by non-Medicare plans (12% Medicare vs. 63% commercial, 100% federal employer, 70% Medicaid, P < 0.01). CONCLUSIONS: Coverage of novel CaP biomarkers are relatively robust for Medicare plans but sparse for non-Medicare plans, with the majority of non-Medicare plans requiring prior authorization. Non-Medicare eligible men may face significant barriers to obtaining these tests.

Indications for and results of renal autotransplantation.

PURPOSE OF REVIEW: To understand the indications and outcomes of renal autotransplantation, and when to consider this unique procedure for patients. RECENT FINDINGS: Renal autotransplantation confers acceptably low rates of graft failure and prevents need for long-term dialysis. Renal autotransplantation remains an important management strategy in very select patients for complex renovascular disease, ureteral stricture disease, ureteral trauma, upper urinary tract urothelial carcinoma, renal cell carcinoma, and Loin-Pain Hematuria Syndrome. With advancements in minimally invasive procedures, the application of renal autotransplantation for refractory stone disease is rare but exists. Robot-assisted laparoscopic renal autotransplantation demonstrates reproducible graft success and complication rates with improved perioperative outcomes (ex. hospital length of stay) - though comparative studies are lacking. Patients would benefit from a multidisciplinary approach from renal transplant surgeons, vascular surgeons, urologists, nephrologists, dieticians, pain management providers, social workers, and psychiatrists. SUMMARY: In experienced hands, renal autotransplantation is a reasonable treatment approach for complex and refractory renal vascular disease, Loin-Pain Hematuria Syndrome, ureteral strictures and trauma, upper urinary tract malignancy, and stone disease in highly select patients.

Findings from an international survey of urology trainee experience with prostate biopsy.

OBJECTIVE: To assess urology trainees' exposure to transperineal prostate biopsy (TP-Bx) and intent to use TP-Bx in practice. SUBJECTS AND METHODS: A 34-question survey about prostate biopsy was distributed to urology trainees in the United States and Europe. Primary outcomes were exposure to TP-Bx in training and intent to use TP-Bx post training. Exposure to transrectal prostate biopsy (TR-Bx) and magnetic resonance imaging-targeted biopsy (MRI-Bx) was also assessed. Survey answers were compared between groups as categorical variables using Fisher's exact test. Multivariable logistic regression was used to identify factors associated with intent of performing TP-Bx post training. RESULTS: A total of 658 trainees from 19 countries completed the survey. Of these, 313 trainees (48%) reported exposure to TP-Bx, 370 (56%) reported exposure to MRI-Bx, and 572 (87%) reported exposure to TR-Bx. There was significant heterogeneity in TP-Bx exposure among countries (P < 0.001), with the highest prevalence in Italy (72%) and the lowest prevalence in Greece (4%). Intent to perform TP-Bx post training was higher in those exposed to TP-Bx during training (89% vs 58%; P < 0.001) and did not differ between trainees in postgraduate year (PGY) 1-3 vs those in PGY ≥4 (73% vs 72%; P = 0.7). On multivariable regression, exposure to TP-Bx in training was independently associated with increased intent to perform TP-Bx post training (odds ratio 5.09, 95% confidence interval 3.29-8.03; P < 0.001). CONCLUSIONS: Fewer than half of 658 surveyed urology trainees reported exposure to TP-Bx, with significant heterogeneity among countries. Greater experience with TP-Bx in training was associated with greater intent to perform TP-Bx post training. A minimum requirement of TP-Bx cases during urological training may increase resident familiarity and adoption of this guideline-endorsed prostate biopsy approach.

Predictors and Trends of Opioid-Sparing Radical Prostatectomy From a Large National Cohort.

OBJECTIVE: To examine the use of pain medications after radical prostatectomy using a large national database. METHODS: The Premier Hospital Database was queried to identify all robotic and laparoscopic radical prostatectomies from January 2015 to March 2020 with length of stay more than or equal to 1 day. "Opioid-sparing" was defined as absence of intravenous opioid use after post-operative day 0 and absence of oral opioid use throughout admission. Comparisons were made between opioid-sparing and non-opioid-sparing prostatectomy. Logistic multivariable regression was used to identify predictors of opioid-sparing prostatectomy. RESULTS: A total of 62,660 patients were included, of whom 14,806 (23.6%) underwent opioid-sparing prostatectomy. Opioid-sparing prostatectomy was associated with older age (65 vs 63 years, P <.01), white versus black race (76.3% vs 73.4%, P <.01), high-volume surgeons (75.2% vs 70.0%, P <.01), and use of intravenous ketorolac (62.2% vs 48.0%, P <.01), intravenous acetaminophen (32.5% vs 30.1%, P <.01), and liposomal bupivacaine (5.4% vs 4.9%, P <.01). On multivariable regression, ketorolac was the strongest predictor of opioid-sparing prostatectomy (odds ratio: 1.86, 95% confidence interval: 1.79-1.93, P <.01), and black race was predictive of non-opioid sparing prostatectomy (odds ratio: 0.75, 95% confidence interval: 0.71-0.80, P <.01). Ketorolac was not associated with increased risk of postoperative bleeding (0.3% vs 0.3%, P =1.0) or dialysis requirement (<0.1% vs <0.1%, P =.91). CONCLUSION: Opioid-sparing radical prostatectomy was feasible and associated with administration of each of the non-opioid pain medications assessed. Ketorolac was the strongest predictor of opioid-sparing prostatectomy and was not associated with increased risk of bleeding or dialysis.

Impact of Left-Digit Age Bias in the Treatment of Localized Prostate Cancer.

PURPOSE: Left-digit bias is a phenomenon in which the leftmost digit of a number disproportionately influences decision making. We measured the effect of left-digit age bias on treatment recommendations for localized prostate cancer. MATERIALS AND METHODS: We included men with clinically localized prostate adenocarcinoma in Surveillance, Epidemiology, and End Results from 2004 to 2018 and the National Cancer Database from 2004 to 2016. Primary outcomes were recommendations for radiation therapy and radical prostatectomy. Regression discontinuity was used to assess whether age increase from 69 to 70 years was associated with disproportionate changes in treatment recommendations. RESULTS: In Surveillance, Epidemiology, and End Results, discontinuities were found in the proportion of patients recommended for radiation among the entire cohort (effect size 2.2%, P < .01) and among patients with Gleason 6 (1.6%, P < .01), Gleason 7 (2.5%, P < .01), and Gleason ≥8 (2.1%, P < .01) cancer, while the proportion recommended for prostatectomy decreased in the entire cohort (-1.4%, P < .01) and in patients with Gleason 7 cancer (-2.4%, P < .01). In the National Cancer Database, discontinuity from age 69 to 70 was found in recommendations for radiation in the entire cohort (effect size: 3.1%, P < .01) and in patients with Gleason 6 (2.2%, P < .01), Gleason 7 (4.0%, P < .01), and Gleason ≥8 (2.3%, P < .02) cancer, while the proportion recommended for prostatectomy decreased at this cutoff in the entire cohort (effect size: -2.7%, P < .01) and patients with Gleason 6 (-2.2%, P < .01) and Gleason 7 (-3.7%, P < .01) cancer. CONCLUSIONS: In patients with localized prostate cancer, left-digit age change from 69 to 70 was associated with disproportionately increased recommendations for radiation and decreased recommendations for prostatectomy.

Abnormally weak functional connections get stronger in chronic stroke patients who benefit from naming therapy.

Language recovery in aphasia is likely supported by a network of brain regions, but few studies have investigated treatment-related changes in functional connectivity while controlling for the absence of treatment. We examined functional connectivity in a 38-region picture-naming network in 30 patients with chronic aphasia who did or did not receive naming therapy. Compared to healthy controls, patients had abnormally low connectivity in a subset of connections from the naming network. Linear mixed models showed that the connectivity of abnormal connections increased significantly in patients who benefited from therapy, but not in those who did not benefit from or receive therapy. Changes in responders were specific to abnormal connections and did not extend to the larger network. Thus, successful naming therapy was associated with increased connectivity in connections that were abnormal prior to treatment. The potential to strengthen such connections may be a prerequisite for a successful treatment response.

Pre-treatment graph measures of a functional semantic network are associated with naming therapy outcomes in chronic aphasia.

Naming treatment outcomes in post-stroke aphasia are variable and the factors underlying this variability are incompletely understood. In this study, 26 patients with chronic aphasia completed a semantic judgment fMRI task before receiving up to 12 weeks of naming treatment. Global (i.e., network-wide) and local (i.e., regional) graph theoretic measures of pre-treatment functional connectivity were analyzed to identify differences between patients who responded most and least favorably to treatment (i.e., responders and nonresponders) and determine if network measures predicted naming improvements. Responders had higher levels of global integration (i.e., average network strength and global efficiency) than nonresponders, and these measures predicted treatment effects after controlling for lesion volume and age. Group differences in local measures were identified in several regions associated with a variety of cognitive functions. These results suggest there is a meaningful and possibly prognostically-informative relationship between patients' functional network properties and their response to naming therapy.

Typicality-based semantic treatment for anomia results in multiple levels of generalisation.

This study investigated the effects of typicality-based semantic feature analysis (SFA) treatment on generalisation across three levels: untrained related items, semantic/phonological processing tasks, and measures of global language function. Using a single-subject design with group-level analyses, 27 persons with aphasia (PWA) received typicality-based SFA to improve their naming of atypical and/or typical exemplars. Progress on trained, untrained, and monitored items was measured weekly. Pre- and post-treatment assessments were administered to evaluate semantic/phonological processing and overall language ability. Ten PWA served as controls. For the treatment participants, the likelihood of naming trained items accurately was significantly higher than for monitored items over time. When features of atypical items were trained, the likelihood of naming untrained typical items accurately was significantly higher than for untrained atypical items over time. Significant gains were observed on semantic/phonological processing tasks and standardised assessments after therapy. Different patterns of near and far transfer were seen across treatment response groups. Performance was also compared between responders and controls. Responders demonstrated significantly more improvement on a semantic processing task than controls, but no other significant change score differences were found between groups. In addition to positive treatment effects, typicality-based SFA naming therapy resulted in generalisation across multiple levels.

Neuroplasticity in Aphasia: A Proposed Framework of Language Recovery.

Purpose Despite a tremendous amount of research in this topic, the precise neural mechanisms underlying language recovery remain unclear. Much of the evidence suggests that activation of remaining left-hemisphere tissue, including perilesional areas, is linked to the best treatment outcomes, yet recruitment of the right hemisphere for various language tasks has also been linked to favorable behavioral outcomes. In this review article, we propose a framework of language recovery that incorporates a network-based view of the brain regions involved in recovery. Method We review evidence from the extant literature and work from our own laboratory to identify findings consistent with our proposed framework and identify gaps in our current knowledge. Results Expanding on Heiss and Thiel's (2006) hierarchy of language recovery, we identify 4 emerging themes: (a) Several bilateral regions constitute a network engaged in language recovery; (b) spared left-hemisphere regions are important components of the network engaged in language recovery; (c) as damage increases in the left hemisphere, activation expands to the right hemisphere and domain-general regions; and (d) patients with efficient, control-like network topology show greater improvement than patients with abnormal topology. We propose a mechanistic model of language recovery that accounts for individual differences in behavior, network topology, and treatment responsiveness. Conclusion Continued work in this topic will lead us to a better understanding of the mechanisms underlying language recovery, biomarkers that influence recovery, and, consequently, more personalized treatment options for individual patients. Presentation Video https://doi.org/10.23641/asha.10257590.

Insights from using in-situ ultraviolet-visible spectroscopy to assess nitrogen treatment and subsurface dynamics in a regenerative stormwater conveyance (RSC) system.

Regenerative stormwater conveyance (RSC) is a recently developed stormwater control measure that marries the concepts of bioretention and stream restoration. RSC mitigates stormwater runoff by converting surface flow to subsurface seepage using a series of pools and riffles built over a sand media bed. Subsurface seepage flows through media and exits the RSC beneath the outlet weir. Previous studies on RSC pollutant mitigation have focused on surface flow discharges from the RSC. To date, no known research has been conducted on the potential pollutant contributions of RSC seepage, despite the fact that this water also enters receiving waters. This research used Multi-Point Sampling coupled with in-situ ultraviolet-visual spectroscopy to measure nitrogen in seepage during simulated storm events (n = 9) at a field-scale RSC in Raleigh, North Carolina. Calibrations between light absorbance and concentrations were acceptable (Nash-Sutcliffe coefficient > 0.65) for nitrate and total ammoniacal nitrogen (TAN) and very good (Nash-Sutcliffe coefficient > 0.90) for total Kjehdahl nitrogen (TKN). Early storm simulations revealed some initial nutrient flushing from the substrate, which subsided by the third simulation. Overall, subsurface seepage nitrate, TAN, and TKN concentrations were lower by 29%, 57%, and 4% relative to storm inflow concentrations, respectively. Computed subsurface nitrogen concentrations demonstrated temporal variability, highlighting dynamic transport and biogeochemical transformations in saturated and unsaturated conditions. Nitrogen concentrations were lower in seepage than in surface flow; however, due to the high volume of runoff converted to seepage, nitrogen loads discharged in seepage can be larger than those of surface flow. Further research is needed to examine subsurface pollutant reductions under varying hydrologic and seasonal conditions.

Treatment-related changes in neural activation vary according to treatment response and extent of spared tissue in patients with chronic aphasia.

Neuroimaging studies of aphasia recovery have linked treatment-related improvements in language processing to changes in functional brain activation in left hemisphere language regions and their right hemisphere homologues. Although there is some consensus that better behavioral outcomes are achieved when activation is restored to the left hemisphere, the circumstances that dictate how and why regions in both hemispheres respond to naming therapy are still unclear. In this study, an fMRI picture-naming task was used to examine 16 regions of interest in 26 patients with chronic aphasia before and after 12 weeks of semantic naming treatment. Ten control patients who did not receive treatment and 17 healthy controls were also scanned. Naming therapy resulted in a significant increase in cortical activation, an effect that was largely driven by patients who responded most favorably to treatment, as patients who responded less favorably (as well as those who did not receive treatment) had little change in activation over time. Relative to healthy controls, patients had higher pre-treatment activation in the bilateral inferior frontal gyri (IFG) and lower activation in the bilateral angular gyri; after treatment, they had higher activation in bilateral IFG, as well as in the right middle frontal gyrus. These results suggest that the predominant effect of beneficial naming treatment was an upregulation of traditional language areas and their right hemisphere homologues and, in particular, regions associated with phonological and semantic/executive semantic processing, as well as broader domain general functions. Additionally, in some left hemisphere regions, post-treatment changes in activation were greater when there was more damage than when there was less damage, indicating that spared tissue in otherwise highly damaged regions can be modulated by treatment.

A lesion and connectivity-based hierarchical model of chronic aphasia recovery dissociates patients and healthy controls.

Traditional models of left hemisphere stroke recovery propose that reactivation of remaining ipsilesional tissue is optimal for language processing whereas reliance on contralesional right hemisphere homologues is less beneficial or possibly maladaptive in the chronic recovery stage. However, neuroimaging evidence for this proposal is mixed. This study aimed to elucidate patterns of effective connectivity in patients with chronic aphasia in light of healthy control connectivity patterns and in relation to damaged tissue within left hemisphere regions of interest and according to performance on a semantic decision task. Using fMRI and dynamic causal modeling, biologically-plausible models within four model families were created to correspond to potential neural recovery patterns, including Family A: Left-lateralized connectivity (i.e., no/minimal damage), Family B: Bilateral anterior-weighted connectivity (i.e., posterior damage), Family C: Bilateral posterior-weighted connectivity (i.e., anterior damage) and Family D: Right-lateralized connectivity (i.e., extensive damage). Controls exhibited a strong preference for left-lateralized network models (Family A) whereas patients demonstrated a split preference for Families A and C. At the level of connections, controls exhibited stronger left intrahemispheric task-modulated connections than did patients. Within the patient group, damage to left superior frontal structures resulted in greater right intrahemispheric connectivity whereas damage to left ventral structures resulted in heightened modulation of left frontal regions. Lesion metrics best predicted accuracy on the fMRI task and aphasia severity whereas left intrahemispheric connectivity predicted fMRI task reaction times. These results are discussed within the context of the hierarchical recovery model of chronic aphasia.

The utility of lesion classification in predicting language and treatment outcomes in chronic stroke-induced aphasia.

Stroke recovery models can improve prognostication of therapy response in patients with chronic aphasia, yet quantifying the effect of lesion on recovery is challenging. This study aimed to evaluate the utility of lesion classification via gray matter (GM)-only versus combined GM plus white matter (WM) metrics and to determine structural measures associated with aphasia severity, naming skills, and treatment outcomes. Thirty-four patients with chronic aphasia due to left hemisphere infarct completed T1-weighted and DTI scans and language assessments prior to receiving a 12-week naming treatment. GM metrics included the amount of spared tissue within five cortical masks. WM integrity was indexed by spared tissue and fractional anisotropy (FA) from four homologous left and right association tracts. Clustering of GM-only and GM + WM metrics via k-medoids yielded four patient clusters that captured two lesion characteristics, size and location. Linear regression models revealed that both GM-only and GM + WM clustering predicted baseline aphasia severity and naming skills, but only GM + WM clustering predicted treatment outcomes. Spearman correlations revealed that without controlling for lesion volume, the majority of left hemisphere metrics were related to language measures. However, adjusting for lesion volume, no relationships with aphasia severity remained significant. FA from two ventral left WM tracts was related to naming and treatment success, independent of lesion size. In sum, lesion volume and GM metrics are sufficient predictors of overall aphasia severity in patients with chronic stroke, whereas diffusion metrics reflecting WM tract integrity may add predictive power to language recovery outcomes after rehabilitation.

Nonlinguistic Cognitive Factors Predict Treatment-Induced Recovery in Chronic Poststroke Aphasia.

OBJECTIVE: To determine if pretreatment nonlinguistic cognition predicted language treatment outcomes and if so, which specific nonlinguistic cognitive subskills predicted naming therapy outcomes. DESIGN: Retrospective. SETTING: Research clinic. PARTICIPANTS: Study 1 included data from 67 persons with aphasia who underwent language treatment and a pretreatment cognitive-linguistic assessment battery (N=67). Study 2 included data from 27 study 1 participants who completed additional pretreatment nonlinguistic cognitive assessments. INTERVENTIONS: 120-minute sessions of sentence comprehension (n=26) or naming treatment (n=41) 2 times per week for up to 10-12 weeks. MAIN OUTCOME MEASURES: Proportion of potential maximal gain (PMG) (assessed immediately after treatment [10-12wk]; formula=mean posttreatment score-mean pretreatment score/total number of trained items-mean pretreatment score) and proportion of potential maximal gain maintained (PMGM) (assessed 12wk after posttreatment [22-24wk]; formula=mean maintenance score-mean pretreatment score/total number of trained items-mean pretreatment score) as outcome variables; and pretreatment assessment scores as predictor variables. RESULTS: In study 1, 37% of participants demonstrated nonlinguistic cognitive deficits. Principal component analyses reduced assessment data to 2 components: linguistic and nonlinguistic cognition. Backward elimination regression revealed that higher linguistic and nonlinguistic cognitive function significantly predicted higher PMG after language therapy. In study 2, principal component analysis of only the nonlinguistic cognitive measures identified 3 components: executive function, verbal short-term memory, and visual short-term memory. Controlling for pretreatment apraxia of speech and auditory comprehension deficits, regression analyses revealed that higher executive function and visual short-term memory significantly predicted higher PMG and PMGM after naming therapy. CONCLUSIONS: Pretreatment nonlinguistic cognitive function significantly influenced language treatment outcomes and maintenance of therapy gains.

Multi-step treatment for acquired alexia and agraphia (Part I): efficacy, generalisation, and identification of beneficial treatment steps.

Reading and writing impairments are common in individuals with post-stroke aphasia. Treatment typically aims to improve the function of one of these modalities by strengthening aspects of either lexical or sublexical processing. In the present study, eight adults with acquired alexia and agraphia were administered a comprehensive treatment targeting specific lexical and sublexical processes underlying reading and/or writing. Two participants were trained in reading and six were trained in writing. Throughout treatment, reading and writing accuracy were monitored for trained items, as well as untrained but orthographically and semantically related items. Linear mixed effects models indicated that the most substantial gains were made on trained items in the trained modality; generalisation to trained items in the untrained modality and untrained but related items in both modalities was also observed. Participants improved significantly on a subset of treatment steps intended to address lexical access and representations, sublexical conversion mechanisms, and the graphemic and/or phonological buffer processes in both modalities. These results demonstrate the efficacy of a novel, comprehensive treatment protocol and suggest that targeting multiple reading and writing processes in conjunction may facilitate widespread generalisation.

Multi-step treatment for acquired alexia and agraphia (part II): a dual-route error scoring system.

Dual-route neuropsychological models posit two distinct but interrelated pathways for reading and writing: the lexical and the sublexical. Individuals with reading/writing deficits often rely on the combined power of the integrated system to perform print-processing tasks. The resultant errors reflect varying degrees of lexical and sublexical accuracy in a single production; however, no system presently exists to analyze errors robustly in both routes. The goal of this project was to develop a system that simultaneously, quantitatively, and qualitatively captures changes in lexical and sublexical errors following treatment. Errors are evaluated hierarchically in both routes according to proximity to a target. This dual-route error scoring (DRES) system was developed using data from a novel treatment study for eight patients with acquired alexia/agraphia; a computerised version of the system was also developed (ADRES). Repeated-measures multivariate analyses of variance and post hoc analyses revealed significant dual-route treatment effects. Qualitative analyses revealed unique patterns of change across participants, reflecting the benefits of error evaluation beyond a binary correct/incorrect judgment. Finally, categorical error shifts were observed via group-level analysis. The results of this study indicate that treatment-induced evolution of reading/writing can be meaningfully and comprehensively represented by this novel scoring system.

Left frontotemporal effective connectivity during semantic feature judgments in patients with chronic aphasia and age-matched healthy controls.

Traditional models of neural reorganization of language skills in patients with chronic stroke-induced aphasia (PWA) propose activation of reperfused or spared left hemisphere tissue results in the most favorable language outcomes. However, these models do not fully explain variable behavioral recovery patterns observed in chronic patients. Instead, investigation of connectivity patterns of critical network nodes may elucidate better-informed recovery models. In the present study, we combined fMRI and dynamic causal modeling (DCM) to examine effective connectivity of a simple three-node left hemisphere network during a semantic feature decision task in 25 PWA and 18 age-matched neurologically intact healthy controls. The DCM model space utilized in Meier, Kapse, & Kiran (2016), which was organized according to exogenous input to one of three regions (i.e., left inferior frontal gyrus, pars triangularis [LIFGtri], left posterior middle temporal gyrus [LpMTG], or left middle frontal gyrus [LMFG]) implicated in various levels of lexical-semantic processing, was interrogated. This model space included all possible combinations of uni- and bidirectional task-modulated connections between LIFGtri, LMFG and LpMTG, resulting in 72 individual models that were partitioned into three separate families (i.e., Family #1: Input to LIFGtri, Family #2: Input to LMFG, Family #3: Input to LpMTG). Family-wise Bayesian model selection revealed Family #2: Input to LMFG best fit both patient and control data at a group level. Both groups relied heavily on LMFG's modulation of the other two model regions. By contrast, between-group differences in task-modulated coupling of LIFGtri and LpMTG were observed. Within the patient group, the strength of activity in LIFGtri and connectivity of LpMTG â†’ LIFGtri were positively associated with lexical-semantic abilities inside and outside of the scanner, whereas greater recruitment of LpMTG was associated with poorer lexical-semantic skills.