Objective: To determine if pre-treatment non-linguistic cognition predicted language treatment outcomes and if so, which specific non-linguistic 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 pre-treatment cognitive-linguistic assessment battery. Study 2 included data from 27 Study 1 participants who completed additional pre-treatment non-linguistic cognitive assessments. Interventions: 120-minute sessions of sentence comprehension (n=26) or naming treatment (n= 41) 2×/week for up to 10-12 weeks Main Outcome Measure(s): Proportion of potential maximal gain (i.e. PMG; assessed immediately after treatment [10-12 weeks]; formula = mean post-treatment score-mean pretreatment score/total number of trained items-mean pre-treatment score) and proportion of potential maximal gain maintained (i.e., PMGM; assessed 12 weeks after post-treatment [22-24 weeks]; formula = mean maintenance score-mean pre-treatment score/total number of trained items-mean pre-treatment score) as outcome variables; and pre-treatment assessment scores as predictor variables. Results: In study 1, 37% participants demonstrated non-linguistic cognitive deficits. Principal component analyses reduced assessment data to two components: linguistic and non-linguistic cognition. Backward elimination regression revealed that higher linguistic and non-linguistic

This study established benchmarks of significant change on three standardized outcome measures used in aphasia rehabilitation.

Purpose This study investigated the effects of an intensive cognitive-communication rehabilitation (ICCR) program for young individuals with chronic acquired brain injury. Method ICCR included classroom lectures; metacognitive instruction, modeling, and application; technology skills training; and individual cognitive–linguistic therapy. Four individuals participated in the intensive program (6 hr with 1-hr lunch break × 4 days × 12 weeks of treatment): 3 participants completed 3 consecutive semesters, and 1 participant completed 1 semester. Two controls did not receive treatment and completed assessments before and after the 12-week treatment interval only. Results All 4 experimental participants demonstrated significant improvements on at least 1 standardized cognitive–linguistic measure, whereas controls did not. Furthermore, time point significantly predicted participants' scores on 2 of the 4 standardized outcome measures, indicating that as duration in ICCR increased, scores also increased. Participants who completed multiple semesters of ICCR also improved in their therapy and personal goals, classroom behavior, life participation, and quality of life. Conclusion After ICCR, participants showed gains in their cognitive–linguistic functioning, classroom participation, and individual therapy. They also demonstrated improvements outside the classroom and in their overall well-being. There is a gap between the large population of young adults with acquired brain injury who wish to return to higher education and a lack of rehabilitation programs supporting reentry into academic environments; ICCR is a first step in reducing that gap.

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.

Emerging evidence suggests that repeated blast exposure (RBE) is associated with brain injury in military personnel. United States (U.S.) Special Operations Forces (SOF) personnel experience high rates of blast exposure during training and combat, but the effects of low-level RBE on brain structure and function in SOF have not been comprehensively characterized. Further, the pathophysiological link between RBE-related brain injuries and cognitive, behavioral, and physical symptoms has not been fully elucidated. We present a protocol for an observational pilot study, Long-Term Effects of Repeated Blast Exposure in U.S. SOF Personnel (ReBlast). In this exploratory study, 30 active-duty SOF personnel with RBE will participate in a comprehensive evaluation of: 1) brain network structure and function using Connectome magnetic resonance imaging (MRI) and 7 Tesla MRI; 2) neuroinflammation and tau deposition using positron emission tomography; 3) blood proteomics and metabolomics; 4) behavioral and physical symptoms using self-report measures; and 5) cognition using a battery of conventional and digitized assessments designed to detect subtle deficits in otherwise high-performing individuals. We will identify clinical, neuroimaging, and blood-based phenotypes that are associated with level of RBE, as measured by the Generalized Blast Exposure Value. Candidate biomarkers of RBE-related brain injury will inform the design of a subsequent study that will test a diagnostic assessment battery for detecting RBE-related brain injury. Ultimately, we anticipate that the ReBlast study will facilitate the development of interventions to optimize the brain health, quality of life, and battle readiness of U.S. SOF personnel.

Purpose The purpose of this study is to summarize existing literature from a range of fields (i.e., neurology, neuropsychology, neuroscience, neuroimaging, rehabilitation, speech-language pathology) that is relevant to the development and/or revision of cognitive rehabilitation programs for individuals with acquired brain injury (ABI) and, in particular, for young adults. Method This review article reviews a range of ABI-associated topics including (a) mechanisms of injury; (b) biological, individual-specific, and behavioral drivers of recovery; and (c) current methods of cognitive rehabilitation. It then narrows focus to young adults, a frequently affected and growing population to sustain ABI. The review article concludes by providing (a) suggestions for key components of cognitive rehabilitation for young adults with ABI, (b) an example from our own research providing intensive academically focused cognitive rehabilitation for young adults with ABI pursuing college, and (c) recommendations for future behavioral and neuroimaging studies in this area. Conclusions ABI is on the rise in the United States. Young adults have been sustaining ABI at higher rates over the past several decades. These injuries occur when they would otherwise be advancing their academic and career goals, making the cognitive deficits that often accompany ABI especially devastating for this group. Review of existing literature suggests cognitive rehabilitation programs that combine aspects of restorative, comprehensive, and contextualized approaches could promote recovery for young adults with ABI. Future intervention studies may benefit from including both behavioral and neural outcomes to best understand how principles of neuroplasticity—naturally embedded within many cognitive rehabilitation approaches—could be manipulated to promote cognitive recovery and long-lasting brain reorganization in this group.

Brain reorganization patterns associated with language recovery after stroke have long been debated. Studying mechanisms of spontaneous and treatment-induced language recovery in post-stroke aphasia requires a network-based approach given the potential for recruitment of perilesional left hemisphere language regions, homologous right hemisphere language regions, and/or spared bilateral domain-general regions. Recent hardware, software, and methodological advances in functional near-infrared spectroscopy (fNIRS) make it well-suited to examine this question. fNIRS is cost-effective with minimal contraindications, making it a robust option to monitor treatment-related brain activation changes over time. Establishing clear activation patterns in neurotypical adults during language and domain-general cognitive processes via fNIRS is an important first step. Some fNIRS studies have investigated key language processes in healthy adults, yet findings are challenging to interpret in the context of methodological limitations. This pilot study used fNIRS to capture brain activation during language and domain-general processing in neurotypicals and individuals with aphasia. These findings will serve as a reference when interpreting treatment-related changes in brain activation patterns in post-stroke aphasia in the future. Twenty-four young healthy controls, seventeen older healthy controls, and six individuals with left hemisphere stroke-induced aphasia completed two language tasks (i.e., semantic feature, picture naming) and one domain-general cognitive task (i.e., arithmetic) twice during fNIRS. The probe covered bilateral frontal, parietal, and temporal lobes and included short-separation detectors for scalp signal nuisance regression. Younger and older healthy controls activated core language regions during semantic feature processing (e.g., left inferior frontal gyrus pars opercularis) and lexical retrieval (e.g., left inferior frontal gyrus pars triangularis) and domain-general regions (e.g., bilateral middle frontal gyri) during hard versus easy arithmetic as expected. Consistent with theories of post-stroke language recovery, individuals with aphasia activated areas outside the traditional networks: left superior frontal gyrus and left supramarginal gyrus during semantic feature judgment; left superior frontal gyrus and right precentral gyrus during picture naming; and left inferior frontal gyrus pars opercularis during arithmetic processing. The preliminary findings in the stroke group highlight the utility of using fNIRS to study language and domain-general processing in aphasia.

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