Black Patients Matter in Neurology: Race, Racism, and Race-Based Neurodisparities

Clinical Applications of Artificial Intelligence in Neurology Practice

ABSTRACT

As artificial intelligence (AI) tools become increasingly mainstream, they can potentially transform neurology clinical practice by improving patient care and reducing clinician workload. However, with these promises also come perils, and neurologists must understand AI as it becomes integrated into health care. This article presents a brief background on AI and explores some of the potential applications in health care and neurology clinical practice with a focus on improving diagnostic testing, documentation, and clinical workflows and highlighting opportunities to address long-standing human biases and challenges and potential mitigation strategies.

Race and ethnicity matter! Moving Parkinson's risk research towards diversity and inclusiveness

Parkinson's disease (PD) is a prevalent neurodegenerative disorder that shows considerable heterogeneity of risk factors however, the degree to which race/ethnicity has been actively pursued in PD risk research is unknown. We examined PD literature from 2000-24 and found that less than half accounted for race/ethnicity and only 4.8% of n = 1142 articles included ethno-racial factors as an integral part of the analysis. This demonstrates that race/ethnicity has been critically understudied in PD and further studies that examine ethno-racial contributions to risk for PD are warranted.

Culturally Centered Palliative Care: A Framework for Equitable Neurocritical Care

Health disparities continue to plague racial and ethnic underserved patients in the United States. Disparities extend to the most critically ill patients, including those experiencing neurologic injury and patients at the end of life. Achieving health equity in palliative care in the neurointensive care unit requires clinicians to acknowledge and address structural racism and the social determinants of health. This article highlights racial and ethnic disparities in neurocritical care and palliative care and offers recommendations for an anti-racist approach to palliative care in the neurointensive care unit for clinicians.

Assessment of disability and disease burden in neuromyelitis optica spectrum disorders in the CIRCLES Cohort

Neuromyelitis optica spectrum disorders (NMOSD) comprise autoimmune diseases imposing substantial disability. We compared an NMOSD-targeted disability assessment of mobility, vision, and self-care domains (individually and composite) with the multiple sclerosis-targeted Expanded Disability Status Scale (EDSS) to assess NMOSD disease burden. An overall cohort (n = 505) and a subset of these patients with an enriched dataset (n = 198) were analyzed from the CIRCLES longitudinal, observational database of patients with AQP4-IgG-seropositive or -seronegative NMOSD in North America. Multinomial modeling was used to identify temporal correlates of disability improvement, stability, and worsening. Prior on-study relapse correlated with worsening mobility (OR, 3.08; 95% CI: 1.61-5.90), vision (OR, 3.99; 95% CI: 2.03-7.86), self-care disability (OR, 1.90; 95% CI: 1.07-3.38), and mean composite index disability (OR, 4.20; 95% CI: 1.71-10.34). Higher vision disability was associated with Black race, shorter time on-study, and AQP4-IgG-seropositive status in patients ≥ 18 years (p < 0.05). Disease onset phenotype and sex correlated with pain interference (p < 0.05). These correlates of NMOSD disability were undetected by EDSS. The CIRCLES real-world experience supports the need for NMOSD-specific disability assessment to improve recognition of disease burden, facilitate proactive clinical management, offer insights into resilience, and inform clinical trial design.

The headache research priorities: Research goals from the American Headache Society and an international multistakeholder expert group

OBJECTIVE

To identify and disseminate research priorities for the headache field that should be areas of research focus during the next 10 years.

BACKGROUND

Establishing research priorities helps focus and synergize the work of headache investigators, allowing them to reach the most important research goals more efficiently and completely.

METHODS

The Headache Research Priorities organizing and executive committees and working group chairs led a multistakeholder and international group of experts to develop headache research priorities. The research priorities were developed and reviewed by clinicians, scientists, people with headache, representatives from headache organizations, health-care industry representatives, and the public. Priorities were revised and finalized after receiving feedback from members of the research priorities working groups and after a public comment period.

RESULTS

Twenty-five research priorities across eight categories were identified: human models, animal models, pathophysiology, diagnosis and management, treatment, inequities and disparities, research workforce development, and quality of life. The priorities address research models and methods, development and optimization of outcome measures and endpoints, pain and non-pain symptoms of primary and secondary headaches, investigations into mechanisms underlying headache attacks and chronification of headache disorders, treatment optimization, research workforce recruitment, development, expansion, and support, and inequities and disparities in the headache field. The priorities are focused enough that they help to guide headache research and broad enough that they are widely applicable to multiple headache types and various research methods.

CONCLUSIONS

These research priorities serve as guidance for headache investigators when planning their research studies and as benchmarks by which the headache field can measure its progress over time. These priorities will need updating as research goals are met and new priorities arise.

Confronting Alzheimer's Disease Risk in Women: A Feasibility Study of Memory Screening as Part of the Annual Gynecological Well-Woman Visit

Objective: Routine health care visits offer the opportunity to screen older adults for symptoms of Alzheimer's disease (AD). Many women see their gynecologist as their primary health care provider. Given this unique relationship, the Women's Preventive Services Initiative and the American College of Obstetrics and Gynecology advocate for integrated care of women at all ages. It is well-established that women are at increased risk for AD, and memory screening of older women should be paramount in this effort. Research is needed to determine the feasibility and value of memory screening among older women at the well-woman visit. Materials and Methods: Women aged 60 and above completed a 5-item subjective memory screener at their well-woman visit at the Columbia University Integrated Women's Health Program. Women who endorsed any item were considered to have a positive screen and were given the option to pursue clinical evaluation. Rates of positive screens, item endorsement, and referral preferences were examined. Results: Of the 530 women approached, 521 agreed to complete the screener. Of those, 17.5% (n = 91) were classified as positive. The most frequently endorsed item was difficulty with memory or thinking compared with others the same age. Among women with positive screens, 57.5% were interested in pursuing clinical referrals to a memory specialist. Conclusion: Results support the feasibility and potential value of including subjective memory screening as part of a comprehensive well-woman program. Early identification of memory loss will enable investigation into the cause of memory symptoms and longitudinal monitoring of cognitive change.

Developing and delivering a migraine disparities and diagnosis undergraduate medical educational program to underrepresented in medicine medical student members of the Student National Medical Association: A pilot project

OBJECTIVE/BACKGROUND

Migraine is underdiagnosed. On average, medical students have approximately 3 h of exposure to headache education throughout medical school training. Moreover, some medical students have racially-based biases in pain. There is a paucity of underrepresented in medicine (UIM) headache practitioners. UIM practitioners are more likely to practice in underserved communities and provider-patient ethnic concordance may help eliminate healthcare disparities. The Student National Medical Association (SNMA) is an organization committed to supporting current and future UIM medical students and addressing the needs of underserved communities. The goal of this project was to develop and deliver a brief Migraine Diagnosis and Disparities Undergraduate Medical Education Program (MD2UMEP) to increase awareness of migraine diagnosis and disparities in UIM medical students in the SNMA.

METHODS

For connecting/relationship-building with SNMA, the SNMA Region V website was reviewed. Calls were made to Wayne State University School of Medicine (WSUSOM) Office of Diversity, Equity, and Inclusion (ODEI) explaining the educational initiative with subsequent emails to the Director of WSUSOM's ODEI followed by a video-conference meeting (VCM). VCMs were conducted with two SNMA member leaders from WSUSOM. A local and regional presentation/delivery of the MD2UMEP was planned. Communication was maintained electronically. For development/delivery of the MD2UMEP, headache literature was reviewed for key concepts underpinning migraine diagnosis and migraine disparities with a focus on African Americans. Slides with talking points were developed with references. Pre- and posttest questions were drafted and made accessible via a QR code. The MD2UMEP was presented and students completed the questionnaires. Descriptive statistics were used to quantify responses.

RESULTS

The MD2UMEP work began July 31, 2021, with program delivered in final form on October 1, 2022. A professional relationship was established with SNMA leadership. A MD2UMEP was developed then administered at the 2022 SNMA Region V Medical Education Conference. Headache medicine was introduced to UIM SNMA medical students. Anonymously, nine individuals responded to the MD2UMEP pretest questions. Eight individuals answered the posttest questions. At the program's conclusion, UIM student performance improved on seven of 10 test questions on migraine diagnosis and disparities and remained at 100% on one of 10 test questions. On two of the questions, the number correct remained the same (although percentage overall increased due to the smaller denominator). There was a higher proportion of correct responses on the posttest.

CONCLUSIONS

There is great need for migraine diagnosis and disparities education among medical students. A new migraine diagnosis and disparities program was developed for medical students. SNMA members were receptive to the MD2UMEP and it strengthened their knowledge of migraine diagnosis and disparities. This program exposed UIM medical students to headache medicine.

Race-Ethnicity, Rurality, and Age in Prospective Preferences and Concerns Regarding Closed-Loop Implanted Neural Devices

OBJECTIVE

Responsive and human-centered neurotechnology development requires attention to public perceptions, particularly among groups underserved by existing treatments.

METHODS

The authors conducted a preregistered nationally representative survey (https://osf.io/ej9h2) using the NORC at the University of Chicago AmeriSpeak panel. One vignette compared an implanted neural device with surgical resection in a scenario involving epilepsy, and another compared an implanted neural device with medications in a scenario involving mood disorders. The survey also contained questions about respondents' confidence that a device would be available if needed and confidence that enough research has been conducted among people like themselves. Responses were entered into nested survey-weighted logistic regression models, including a base demographic model (to test the overall effect of demographic factors) and an adjusted model that also included socioeconomic, religious and political, and health care access predictors.

RESULTS

A total of 1,047 adults responded to the survey, which oversampled Black non-Hispanic (N=214), Hispanic (N=210), and rural (N=219) Americans. In the base demographic model, older Americans were more likely to prefer an implanted device in the two scenarios, and non-Hispanic Black Americans were less likely than non-Hispanic White Americans to prefer a device; rural Americans were less confident than urban or suburban Americans in having access, and non-Hispanic Black and rural Americans were less confident that enough research has been conducted among people like themselves. In adjusted models, income was a key mediator, partially explaining the effect of age and the contrast between Black and White non-Hispanic respondents on preferences for a device in the epilepsy scenario and fully explaining the effect of rurality on confidence in access.

CONCLUSIONS

Demographic differences in prospective preferences and concerns highlight the importance of including members of underserved communities in neurotechnology development.

Inequalities in accelerated cognitive decline: Resolving observational window bias using nested non-linear regression

INTRODUCTION

Limited observational windows lead to conflicting results in studies examining educational differences in Alzheimer's disease and related dementias (ADRD) risk, due to observational window bias relative to onset of accelerated cognitive decline. This study tested a novel model to address observational window bias and tested for the presence and sources of disparities in accelerated cognitive declines due to ADRD.

METHODS

The sample examined 167,314 cognitive assessments from 32,441 Health and Retirement Study participants. We implemented a parametric non-linear nested longitudinal regression and reported multivariable-adjusted nodal incidence ratios (aNIR).

RESULTS

University degrees were associated with lower incidence (aNIR = 0.253, 95% confidence interval [CI] = [0.221 to 0.289], p < 0.001), while black participants had a higher incidence (aNIR = 1.995, [1.858 to 2.141], p < 0.001) of accelerated cognitive decline, adjusting for demographic, sociobehavioral, and medical risk factors. Sex-stratified analyses identified diminished educational returns for women and increased incidence among minoritized women.

DISCUSSION

Addressing observational window bias reveals large social inequalities in the onset of accelerated cognitive declines indicative of ADRD.

HIGHLIGHTS

This study identifies observational window bias as a source of conflicting results among previous studies of educational achievement in Alzheimer's disease and related dementias (ADRD) disparities. The study locates preclinical accelerated cognitive decline, which is indicative of ADRD while occurring 10+ years prior to symptom onset, as a site to study ADRD disparities that mitigates observational window bias. A novel method, nested non-linear regression, is developed to test for differences in the onset of accelerated cognitive decline. Educational and racial/ethnic disparities are demonstrated in the onset of accelerated cognitive decline, as are their intersecting differences with sex/gender.

Cerebral arteriolosclerosis, lacunar infarcts, and cognition in older Black adults

INTRODUCTION

Older Black adults are at risk of cerebral small vessel disease (CSVD), which contributes to dementia risk. Two subtypes of CSVD, arteriolosclerosis and ischemic lacunar infarcts, have been independently linked to lower cognition and higher dementia risk, but their combined effects on cognition in older Black adults are unclear.

METHODS

Mixed models were used to examine the associations of in vivo measures of arteriolosclerosis (ARTS) and ischemic lacunar infarcts to cognitive level and change in 370 older Black adults without dementia.  RESULTS: Modeled together, higher ARTS load accounted for lower levels of global cognition, episodic memory, semantic memory, and perceptual speed, whereas higher infarct load accounted for lower levels of working memory. There were no associations with rate of cognitive change.

DISCUSSION

Both arteriolosclerosis and ischemic infarcts impact the cognitive health of older Black adults, but arteriolosclerosis affects cognition more broadly and offers promise as an in vivo biomarker of dementia risk.

HIGHLIGHTS

Older Black adults are at risk of cerebral small vessel disease (CSVD) and dementia. Examined magnetic resonance imaging-derived measure of arteriolosclerosis (ARTS), infarcts, and cognition. ARTS load was widely associated with lower cognition after adjusting for infarct load. Infarct load was specifically associated with lower complex attention. More within-Black in vivo studies of CSVD subtypes and cognition are needed.

Disparities in seizure outcomes revealed by large language models

OBJECTIVE

Large-language models (LLMs) can potentially revolutionize health care delivery and research, but risk propagating existing biases or introducing new ones. In epilepsy, social determinants of health are associated with disparities in care access, but their impact on seizure outcomes among those with access remains unclear. Here we (1) evaluated our validated, epilepsy-specific LLM for intrinsic bias, and (2) used LLM-extracted seizure outcomes to determine if different demographic groups have different seizure outcomes.

MATERIALS AND METHODS

We tested our LLM for differences and equivalences in prediction accuracy and confidence across demographic groups defined by race, ethnicity, sex, income, and health insurance, using manually annotated notes. Next, we used LLM-classified seizure freedom at each office visit to test for demographic outcome disparities, using univariable and multivariable analyses.

RESULTS

We analyzed 84 675 clinic visits from 25 612 unique patients seen at our epilepsy center. We found little evidence of bias in the prediction accuracy or confidence of outcome classifications across demographic groups. Multivariable analysis indicated worse seizure outcomes for female patients (OR 1.33, P ≤ .001), those with public insurance (OR 1.53, P ≤ .001), and those from lower-income zip codes (OR ≥1.22, P  ≤ .007). Black patients had worse outcomes than White patients in univariable but not multivariable analysis (OR 1.03, P = .66).

CONCLUSION

We found little evidence that our LLM was intrinsically biased against any demographic group. Seizure freedom extracted by LLM revealed disparities in seizure outcomes across several demographic groups. These findings quantify the critical need to reduce disparities in the care of people with epilepsy.

Disparities in Access to Deep Brain Stimulation for Parkinson's Disease and Proposed Interventions: A Literature Review

BACKGROUND

Deep brain stimulation (DBS) is an effective therapy for Parkinson's disease (PD), but disparities exist in access to DBS along gender, racial, and socioeconomic lines.

SUMMARY

Women are underrepresented in clinical trials and less likely to undergo DBS compared to their male counterparts. Racial and ethnic minorities are also less likely to undergo DBS procedures, even when controlling for disease severity and other demographic factors. These disparities can have significant impacts on patients' access to care, quality of life, and ability to manage their debilitating movement disorders.

KEY MESSAGES

Addressing these disparities requires increasing patient awareness and education, minimizing barriers to equitable access, and implementing diversity and inclusion initiatives within the healthcare system. In this systematic review, we first review literature discussing gender, racial, and socioeconomic disparities in DBS access and then propose several patient, provider, community, and national-level interventions to improve DBS access for all populations.

Building an ethnically and racially diverse neurology workforce

As diversity among patient populations continues to grow, racial and ethnic diversity in the neurology workforce is increasingly essential to the delivery of culturally competent care and for enabling inclusive, generalizable clinical research. Unfortunately, diversity in the workforce is an area in which the field of neurology has historically lagged and faces formidable challenges, including an inadequate number of trainees entering the field, bias experienced by trainees and faculty from minoritized racial and ethnic backgrounds, and 'diversity tax', the disproportionate burden of service work placed on minoritized people in many professions. Although neurology departments, professional organizations and relevant industry partners have come to realize the importance of diversity to the field and have taken steps to promote careers in neurology for people from minoritized backgrounds, additional steps are needed. Such steps include the continued creation of diversity leadership roles in neurology departments and organizations, the creation of robust pipeline programmes, aggressive recruitment and retention efforts, the elevation of health equity research and engagement with minoritized communities. Overall, what is needed is a shift in culture in which diversity is adopted as a core value in the field.

Disparities in Genetic Testing for Neurologic Disorders

BACKGROUND AND OBJECTIVES

Genetic testing is now the standard of care for many neurologic conditions. Health care disparities are unfortunately widespread in the US health care system, but disparities in the utilization of genetic testing for neurologic conditions have not been studied. We tested the hypothesis that access to and results of genetic testing vary according to race, ethnicity, sex, socioeconomic status, and insurance status for adults with neurologic conditions.

METHODS

We analyzed retrospective data from patients who underwent genetic evaluation and testing through our institution's neurogenetics program. We tested for differences between demographic groups in 3 steps of a genetic evaluation pathway: (1) attending a neurogenetic evaluation, (2) completing genetic testing, and (3) receiving a diagnostic result. We compared patients on this genetic evaluation pathway with the population of all neurology outpatients at our institution, using univariate and multivariable logistic regression analyses.

RESULTS

Between 2015 and 2022, a total of 128,440 patients were seen in our outpatient neurology clinics and 2,540 patients underwent genetic evaluation. Black patients were less than half as likely as White patients to be evaluated (odds ratio [OR] 0.49, p < 0.001), and this disparity was similar after controlling for other demographic factors in multivariable analysis. Patients from the least wealthy quartile of zip codes were also less likely to be evaluated (OR 0.67, p < 0.001). Among patients who underwent evaluation, there were no disparities in the likelihood of completing genetic testing, nor in the likelihood of a diagnostic result after adjusting for age. Analyses restricted to specific indications for genetic testing supported these findings.

DISCUSSION

We observed unequal utilization of our clinical neurogenetics program for patients from marginalized and minoritized demographic groups, especially Black patients. Among patients who do undergo evaluation, all groups benefit similarly from genetic testing when it is indicated. Understanding and removing barriers to accessing genetic testing will be essential to health care equity and optimal care for all patients with neurologic disorders.

Categorizing Sports-Related Concussion Disparities by Key Domains of Social Determinants of Health

PURPOSE OF REVIEW

To explore recently published data on disparities in concussion and best categorize these data into domains of social determinants of health (SDOH).

RECENT FINDINGS

Disparities in concussion cover a range of SDOH domains. Questions on disparities in concussion remain. Interventions to reduce these disparities and inequities are needed. Social determinants of health may play a significant role in disparities and inequities in sports related concussion. There is interplay and overlap in SDOH domains that affect concussion outcomes. It is possible that an increase in SDOH may affect concussion disparities by moderated mediation; however, further data is needed to validate this potential effect. Moreover, attention to SDOH domains in sports related concussion may provide insight on intervention targets to ameliorate disparities in sports related concussion.

Geographic Disparities in Access to Neurologists and Multiple Sclerosis Care in the United States

BACKGROUND AND OBJECTIVES

A shortage of neurology clinicians and healthcare disparities may hinder access to neurologic care. This study examined disparities in geographic access to neurologists and subspecialty multiple sclerosis (MS) care among various demographic segments of the United States.

METHODS

Neurologist practice locations from 2022 CMS Care Compare physician data and MS Center locations as defined by the Consortium of Multiple Sclerosis Centers were used to compute spatial access for all U.S. census tracts. Census tract-level community characteristics (sex, age, race, ethnicity, education, income, insurance, % with computer, % without a vehicle, % with limited English, and % with hearing, vision, cognitive, and ambulatory difficulty) were obtained from 2020 American Community Survey 5-year estimates. Rural-urban status was obtained from 2010 rural-urban commuting area codes. Logistic and linear regression models were used to examine access to a neurologist or MS Center within 60 miles and 60-mile spatial access ratios.

RESULTS

Of 70,858 census tracts, 388 had no neurologists within 60 miles and 17,837 had no MS centers within 60 miles. Geographic access to neurologists (spatial access ratio [99% CI]) was lower for rural (-80.49%; CI [-81.65 to -79.30]) and micropolitan (-60.50%; CI [-62.40 to -58.51]) areas compared with metropolitan areas. Tracts with 10% greater percentage of Hispanic individuals (-4.53%; CI [-5.23 to -3.83]), men (-6.76%; CI [-8.96 to -4.5]), uninsured (-7.99%; CI [-9.72 to -6.21]), individuals with hearing difficulty (-40.72%; CI [-44.62 to -36.54]), vision difficulty (-13.0%; [-18.72 to -6.89]), and ambulatory difficulty (-15.68%; CI [-19.25 to -11.95]) had lower access to neurologists. Census tracts with 10% greater Black individuals (3.50%; CI [2.93-10.71]), college degree holders (-7.49%; CI [6.67-8.32]), individuals with computers (16.57%, CI [13.82-19.40]), individuals without a vehicle (9.57%; CI [8.69-10.47]), individuals with cognitive difficulty (25.63%; CI [19.77-31.78]), and individuals with limited English (18.5%; CI [16.30-20.73]), and 10-year older individuals (8.85%; CI [7.03-10.71]) had higher spatial access to neurologists. Covariates for access followed similar patterns for MS centers.

DISCUSSION

Geographic access to neurologists is decreased in rural areas, in areas with higher proportions of Hispanics, populations with disabilities, and those uninsured. Access is further limited for MS subspecialty care. This study highlights disparities in geographic access to neurologic care.

Huntington disease-like 2: insight into neurodegeneration from an African disease

Huntington disease (HD)-like 2 (HDL2) is a rare genetic disease caused by an expanded trinucleotide repeat in the JPH3 gene (encoding junctophilin 3) that shows remarkable clinical similarity to HD. To date, HDL2 has been reported only in patients with definite or probable African ancestry. A single haplotype background is shared by patients with HDL2 from different populations, supporting a common African origin for the expansion mutation. Nevertheless, outside South Africa, reports of patients with HDL2 in Africa are scarce, probably owing to limited clinical services across the continent. Systematic comparisons of HDL2 and HD have revealed closely overlapping motor, cognitive and psychiatric features and similar patterns of cerebral and striatal atrophy. The pathogenesis of HDL2 remains unclear but it is proposed to occur through several mechanisms, including loss of protein function and RNA and/or protein toxicity. This Review summarizes our current knowledge of this African-specific HD phenocopy and highlights key areas of overlap between HDL2 and HD. Given the aforementioned similarities in clinical phenotype and pathology, an improved understanding of HDL2 could provide novel insights into HD and other neurodegenerative and/or trinucleotide repeat expansion disorders.

Ethical considerations in rapid and novel treatments in psychiatry

New treatment modalities for mental illness are deeply needed, and emerging therapeutic agents such as psychedelics, ketamine, and neuromodulatory technologies have been welcomed by many researchers and patients. These treatment approaches have also been observed to raise novel ethical questions, and to pose new and different versions of familiar ethical questions in clinical treatment and research. We present an overview and introduction to these issues organized around three specific domains of ethical concern: informed consent, the role of expectancy in clinical response, and distributive justice.

Explainable machine learning for predicting conversion to neurological disease: Results from 52,939 medical records

Objective

This study assesses the application of interpretable machine learning modeling using electronic medical record data for the prediction of conversion to neurological disease.

Methods

A retrospective dataset of Cleveland Clinic patients diagnosed with Alzheimer's disease, amyotrophic lateral sclerosis, multiple sclerosis, or Parkinson's disease, and matched controls based on age, sex, race, and ethnicity was compiled. Individualized risk prediction models were created using eXtreme Gradient Boosting for each neurological disease at four timepoints in patient history. The prediction models were assessed for transparency and fairness.

Results

At timepoints 0-months, 12-months, 24-months, and 60-months prior to diagnosis, Alzheimer's disease models achieved the area under the receiver operating characteristic curve on a holdout test dataset of 0.794, 0.742, 0.709, and 0.645; amyotrophic lateral sclerosis of 0.883, 0.710, 0.658, and 0.620; multiple sclerosis of 0.922, 0.877, 0.849, and 0.781; and Parkinson's disease of 0.809, 0.738, 0.700, and 0.651, respectively.

Conclusions

The results demonstrate that electronic medical records contain latent information that can be used for risk stratification for neurological disorders. In particular, patient-reported outcomes, sleep assessments, falls data, additional disease diagnoses, and longitudinal changes in patient health, such as weight change, are important predictors.

Disparities in seizure outcomes revealed by large language models

Objective

Large-language models (LLMs) in healthcare have the potential to propagate existing biases or introduce new ones. For people with epilepsy, social determinants of health are associated with disparities in access to care, but their impact on seizure outcomes among those with access to specialty care remains unclear. Here we (1) evaluated our validated, epilepsy-specific LLM for intrinsic bias, and (2) used LLM-extracted seizure outcomes to test the hypothesis that different demographic groups have different seizure outcomes.

Methods

First, we tested our LLM for intrinsic bias in the form of differential performance in demographic groups by race, ethnicity, sex, income, and health insurance in manually annotated notes. Next, we used LLM-classified seizure freedom at each office visit to test for outcome disparities in the same demographic groups, using univariable and multivariable analyses.

Results

We analyzed 84,675 clinic visits from 25,612 patients seen at our epilepsy center 2005-2022. We found no differences in the accuracy, or positive or negative class balance of outcome classifications across demographic groups. Multivariable analysis indicated worse seizure outcomes for female patients (OR 1.33, p = 3×10-8), those with public insurance (OR 1.53, p = 2×10-13), and those from lower-income zip codes (OR ≥ 1.22, p ≤ 6.6×10-3). Black patients had worse outcomes than White patients in univariable but not multivariable analysis (OR 1.03, p = 0.66).

Significance

We found no evidence that our LLM was intrinsically biased against any demographic group. Seizure freedom extracted by LLM revealed disparities in seizure outcomes across several demographic groups. These findings highlight the critical need to reduce disparities in the care of people with epilepsy.

Late-life depressive symptoms and white matter structural integrity within older Black adults

Introduction

Older Black adults experience a high burden of depressive symptoms and cerebrovascular disease but the specific neurobiological substrates underlying the association between late-life depressive symptoms and brain integrity are understudied, particularly in within-group designs.

Methods

Using the Center for Epidemiologic Studies Depression Scale and diffusion-tensor imaging, within-Black variation in the association between late-life depressive symptoms and white matter structural integrity was examined in 297 older Black participants without dementia that were enrolled across three epidemiological studies of aging and dementia. Linear regression models were used to test associations with DTI metrics (fractional anisotropy, trace of the diffusion tensor) as the outcomes and depressive symptoms as the predictor, while adjusting for age, sex, education, scanner, serotonin-reuptake inhibitor use, total volume of white-matter hyperintensities normalized by intracranial volume, and presence of white-matter hyperintensities at the voxel level.

Results

Higher level of self-reported late-life depressive symptoms was associated with greater diffusion-tensor trace (reduced white matter integrity) in connections between commissural pathways and contralateral prefrontal regions (superior and middle frontal/dorsolateral prefrontal cortex), association pathways connecting dorsolateral prefrontal cortex with insular, striatal and thalamic regions, and association pathways connecting the parietal, temporal and occipital lobes and the thalamus.

Discussion

This study demonstrated a discernable pattern of compromised white matter structural integrity underlying late-life depressive symptoms within older Black adults.

Toward more diverse, inclusive, and equitable neuromodulation

Racial and ethnic disparities exist for many nervous system disorders that are intervention targets for neuromodulation investigators. Yet, to date, there has been both a lack of racial and ethnic diversity and a lack of emphasis on diversity in neuromodulation research. In this paper, we suggest three potential reasons for the lack of racial and ethnic diversity in neuromodulation research: 1) the lack of diversity in the neuromodulation workforce, 2) incompatibility between the technologies employed and phenotypic traits (e.g., hair texture) commonly present in minoritized populations, and 3) minoritized populations' reluctance to participate in clinical trials. We argue that increasing diversity in the neuromodulation workforce, in conjunction with mutual collaboration between current neuromodulation researchers and underrepresented communities in neuromodulation, can aid in removing barriers to diversity, equity, and inclusion in neuromodulation research. This is important, because greater diversity, equity, and inclusion in neuromodulation research brings with it the development of novel, yet safe and effective, treatment approaches for brain disorders and enhances the rigor and generalizability of discoveries in the field.