1
|
Hamilton RH. Building an ethnically and racially diverse neurology workforce. Nat Rev Neurol 2024; 20:222-231. [PMID: 38388568 DOI: 10.1038/s41582-024-00941-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/02/2024] [Indexed: 02/24/2024]
Abstract
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.
Collapse
Affiliation(s)
- Roy H Hamilton
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
| |
Collapse
|
2
|
Baldwin A, Copeland J, Azage M, Dratch L, Johnson K, Paul RA, Amado DA, Baer M, Deik A, Elman LB, Guo M, Hamedani AG, Irwin DJ, Lasker A, Orthmann-Murphy J, Quinn CC, Tropea TF, Scherer SS, Shinohara RT, Hamilton RH, Ellis CA. Disparities in Genetic Testing for Neurologic Disorders. Neurology 2024; 102:e209161. [PMID: 38447117 DOI: 10.1212/wnl.0000000000209161] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 12/01/2023] [Indexed: 03/08/2024] Open
Abstract
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.
Collapse
Affiliation(s)
- Aaron Baldwin
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Juliette Copeland
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Meron Azage
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Laynie Dratch
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Kelsey Johnson
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Rachel A Paul
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Defne A Amado
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Michael Baer
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Andres Deik
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Lauren B Elman
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Michael Guo
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Ali G Hamedani
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - David J Irwin
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Aaron Lasker
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Jennifer Orthmann-Murphy
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Colin C Quinn
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Thomas F Tropea
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Steven S Scherer
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Russell T Shinohara
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Roy H Hamilton
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Colin A Ellis
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| |
Collapse
|
3
|
Xie K, Ojemann WKS, Gallagher RS, Shinohara RT, Lucas A, Hill CE, Hamilton RH, Johnson KB, Roth D, Litt B, Ellis CA. Disparities in seizure outcomes revealed by large language models. J Am Med Inform Assoc 2024:ocae047. [PMID: 38481027 DOI: 10.1093/jamia/ocae047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 02/21/2024] [Accepted: 02/23/2024] [Indexed: 03/26/2024] Open
Abstract
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.
Collapse
Affiliation(s)
- Kevin Xie
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, United States
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - William K S Ojemann
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, United States
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Ryan S Gallagher
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, United States
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Russell T Shinohara
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Alfredo Lucas
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, United States
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, United States
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Chloé E Hill
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, United States
| | - Roy H Hamilton
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Kevin B Johnson
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, United States
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, United States
- Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104, United States
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Dan Roth
- Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Brian Litt
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, United States
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, United States
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Colin A Ellis
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, United States
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, United States
| |
Collapse
|
4
|
Dengler J, Deck BL, Stoll H, Fernandez-Nunez G, Kelkar AS, Rich RR, Erickson BA, Erani F, Faseyitan O, Hamilton RH, Medaglia JD. Enhancing cognitive control with transcranial magnetic stimulation in subject-specific frontoparietal networks. Cortex 2024; 172:141-158. [PMID: 38330778 DOI: 10.1016/j.cortex.2023.11.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 10/26/2023] [Accepted: 11/28/2023] [Indexed: 02/10/2024]
Abstract
BACKGROUND Cognitive control processes, including those involving frontoparietal networks, are highly variable between individuals, posing challenges to basic and clinical sciences. While distinct frontoparietal networks have been associated with specific cognitive control functions such as switching, inhibition, and working memory updating functions, there have been few basic tests of the role of these networks at the individual level. METHODS To examine the role of cognitive control at the individual level, we conducted a within-subject excitatory transcranial magnetic stimulation (TMS) study in 19 healthy individuals that targeted intrinsic ("resting") frontoparietal networks. Person-specific intrinsic networks were identified with resting state functional magnetic resonance imaging scans to determine TMS targets. The participants performed three cognitive control tasks: an adapted Navon figure-ground task (requiring set switching), n-back (working memory), and Stroop color-word (inhibition). OBJECTIVE Hypothesis: We predicted that stimulating a network associated with externally oriented control [the "FPCN-B" (fronto-parietal control network)] would improve performance on the set switching and working memory task relative to a network associated with attention (the Dorsal Attention Network, DAN) and cranial vertex in a full within-subjects crossover design. RESULTS We found that set switching performance was enhanced by FPCN-B stimulation along with some evidence of enhancement in the higher-demand n-back conditions. CONCLUSION Higher task demands or proactive control might be a distinguishing role of the FPCN-B, and personalized intrinsic network targeting is feasible in TMS designs.
Collapse
Affiliation(s)
- Julia Dengler
- School of Biomedical Engineering Science and Health Systems, Drexel University, Philadelphia, PA, USA
| | - Benjamin L Deck
- Department of Psychological & Brain Sciences, Drexel University, Philadelphia, PA, USA
| | - Harrison Stoll
- Department of Psychological & Brain Sciences, Drexel University, Philadelphia, PA, USA
| | | | - Apoorva S Kelkar
- Department of Psychological & Brain Sciences, Drexel University, Philadelphia, PA, USA
| | - Ryan R Rich
- Department of Psychological & Brain Sciences, Drexel University, Philadelphia, PA, USA
| | - Brian A Erickson
- Department of Psychological & Brain Sciences, Drexel University, Philadelphia, PA, USA
| | - Fareshte Erani
- Department of Psychological & Brain Sciences, Drexel University, Philadelphia, PA, USA
| | | | - Roy H Hamilton
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - John D Medaglia
- Department of Psychological & Brain Sciences, Drexel University, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
| |
Collapse
|
5
|
Ramanan VK, Armstrong MJ, Choudhury P, Coerver KA, Hamilton RH, Klein BC, Wolk DA, Wessels SR, Jones LK. Antiamyloid Monoclonal Antibody Therapy for Alzheimer Disease: Emerging Issues in Neurology. Neurology 2023; 101:842-852. [PMID: 37495380 PMCID: PMC10663011 DOI: 10.1212/wnl.0000000000207757] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 06/30/2023] [Indexed: 07/28/2023] Open
Abstract
With recent data demonstrating that lecanemab treatment can slow cognitive and functional decline in early symptomatic Alzheimer disease (AD), it is widely anticipated that this drug and potentially other monoclonal antibody infusions targeting β-amyloid protein will imminently be realistic options for some patients with AD. Given that these new antiamyloid monoclonal antibodies (mAbs) are associated with nontrivial risks and burdens of treatment that are radically different from current mainstays of AD management, effectively and equitably translating their use to real-world clinical care will require systematic and practice-specific modifications to existing workflows and infrastructure. In this Emerging Issues in Neurology article, we provide practical guidance for a wide audience of neurology clinicians on logistic adaptations and decision making around emerging antiamyloid mAbs. Specifically, we briefly summarize the rationale and available evidence supporting antiamyloid mAb use in AD to facilitate appropriate communication with patients and care partners on potential benefits. We also discuss pragmatic approaches to optimizing patient selection and treatment monitoring, with a particular focus on the value of incorporating shared decision making and multidisciplinary collaboration. In addition, we review some of the recognized limitations of current knowledge and highlight areas of future evolution to guide the development of sustainable and flexible models for treatment and follow-up. As the field enters a new era with disease-modifying treatment options for AD, it will be critical for neurology practices to prepare and continually innovate to ensure optimal outcomes for patients.
Collapse
Affiliation(s)
- Vijay K Ramanan
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| | - Melissa J Armstrong
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| | - Parichita Choudhury
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| | - Katherine A Coerver
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| | - Roy H Hamilton
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| | - Brad C Klein
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| | - David A Wolk
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| | - Scott R Wessels
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| | - Lyell K Jones
- From the Department of Neurology (V.K.R., L.K.J.), Mayo Clinic, Rochester, MN; Department of Neurology (M.J.A.), University of Florida College of Medicine; Norman Fixel Institute for Neurologic Diseases (M.J.A.), University of Florida, Gainesville; Cleo Roberts Center (P.C.), Banner Sun Health Research Institute, Sun City, AZ; Rocky Mountain Neurology (K.C.), Lone Tree, CO; Department of Neurology (R.H.H., D.A.W.), Department of Physical Medicine and Rehabilitation (R.H.H.), and Department of Psychiatry (R.H.H.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Abington Neurological Associates (B.C.K.), Ltd., Abington, PA; and American Academy of Neurology (S.R.W.), Minneapolis, MN
| |
Collapse
|
6
|
Xie K, Ojemann WKS, Gallagher RS, Lucas A, Hill CE, Hamilton RH, Johnson KB, Roth D, Litt B, Ellis CA. Disparities in seizure outcomes revealed by large language models. medRxiv 2023:2023.09.20.23295842. [PMID: 37790442 PMCID: PMC10543059 DOI: 10.1101/2023.09.20.23295842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
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.
Collapse
Affiliation(s)
- Kevin Xie
- University of Pennsylvania, Dept. of Bioengineering, Philadelphia, PA, USA
- University of Pennsylvania, Center for Neuroengineering and Therapeutics, Philadelphia, PA, USA
| | - William K S Ojemann
- University of Pennsylvania, Dept. of Bioengineering, Philadelphia, PA, USA
- University of Pennsylvania, Center for Neuroengineering and Therapeutics, Philadelphia, PA, USA
| | - Ryan S Gallagher
- University of Pennsylvania, Center for Neuroengineering and Therapeutics, Philadelphia, PA, USA
- University of Pennsylvania, Dept. of Neurology, Philadelphia, PA, USA
| | - Alfredo Lucas
- University of Pennsylvania, Dept. of Bioengineering, Philadelphia, PA, USA
- University of Pennsylvania, Center for Neuroengineering and Therapeutics, Philadelphia, PA, USA
- University of Pennsylvania, Dept. of Neurology, Philadelphia, PA, USA
| | - Chloé E Hill
- University of Michigan, Dept. of Neurology, Ann Arbor, MI, USA
| | - Roy H Hamilton
- University of Pennsylvania, Dept. of Neurology, Philadelphia, PA, USA
| | - Kevin B Johnson
- University of Pennsylvania, Dept. of Bioengineering, Philadelphia, PA, USA
- University of Pennsylvania, Dept. Of Biostatistics, Epidemiology and Informatics, Philadelphia, PA USA
- University of Pennsylvania, Dept. of Computer and Information Science, Philadelphia, PA, USA
- University of Pennsylvania, Dept. of Pediatrics, Philadelphia, PA, USA
| | - Dan Roth
- University of Pennsylvania, Dept. of Computer and Information Science, Philadelphia, PA, USA
| | - Brian Litt
- University of Pennsylvania, Dept. of Bioengineering, Philadelphia, PA, USA
- University of Pennsylvania, Center for Neuroengineering and Therapeutics, Philadelphia, PA, USA
- University of Pennsylvania, Dept. of Neurology, Philadelphia, PA, USA
| | - Colin A Ellis
- University of Pennsylvania, Center for Neuroengineering and Therapeutics, Philadelphia, PA, USA
- University of Pennsylvania, Dept. of Neurology, Philadelphia, PA, USA
| |
Collapse
|
7
|
Nissim NR, Pham DVH, Poddar T, Blutt E, Hamilton RH. The impact of gamma transcranial alternating current stimulation (tACS) on cognitive and memory processes in patients with mild cognitive impairment or Alzheimer's disease: A literature review. Brain Stimul 2023; 16:748-755. [PMID: 37028756 PMCID: PMC10862495 DOI: 10.1016/j.brs.2023.04.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 03/16/2023] [Accepted: 04/02/2023] [Indexed: 04/08/2023] Open
Abstract
BACKGROUND Transcranial alternating current stimulation (tACS)-a noninvasive brain stimulation technique that modulates cortical oscillations through entrainment-has been demonstrated to alter oscillatory activity and enhance cognition in healthy adults. TACS is being explored as a tool to improve cognition and memory in patient populations with mild cognitive impairment (MCI) and Alzheimer's disease (AD). OBJECTIVE To review the growing body of literature and current findings obtained from the application of tACS in patients with MCI or AD, highlighting the effects of gamma tACS on brain function, memory, and cognition. Evidence on the use of brain stimulation in animal models of AD is also discussed. Important parameters of stimulation are underscored for consideration in protocols that aim to apply tACS as a therapeutic tool in patients with MCI/AD. FINDINGS The application of gamma tACS has shown promising results in the improvement of cognitive and memory processes that are impacted in patients with MCI/AD. These data demonstrate the potential for tACS as an interventional stand-alone tool or alongside pharmacological and/or other behavioral interventions in MCI/AD. CONCLUSIONS While the use of tACS in MCI/AD has evidenced encouraging results, the effects of this stimulation technique on brain function and pathophysiology in MCI/AD remains to be fully determined. This review explores the literature and highlights the need for continued research on tACS as a tool to alter the course of the disease by reinstating oscillatory activity, improving cognitive and memory processing, delaying disease progression, and remediating cognitive abilities in patients with MCI/AD.
Collapse
Affiliation(s)
- N R Nissim
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Pennsylvania, PA, USA; Moss Rehabilitation Research Institute, Einstein Medical Center, Elkins Park, PA, USA.
| | - D V H Pham
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Pennsylvania, PA, USA
| | - T Poddar
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Pennsylvania, PA, USA
| | - E Blutt
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Pennsylvania, PA, USA
| | - R H Hamilton
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Pennsylvania, PA, USA; Moss Rehabilitation Research Institute, Einstein Medical Center, Elkins Park, PA, USA.
| |
Collapse
|
8
|
Peebles IS, Phillips TO, Hamilton RH. Toward more diverse, inclusive, and equitable neuromodulation. Brain Stimul 2023; 16:737-741. [PMID: 37088453 DOI: 10.1016/j.brs.2023.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 03/28/2023] [Accepted: 04/18/2023] [Indexed: 04/25/2023] Open
Abstract
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.
Collapse
Affiliation(s)
- Ian S Peebles
- University Center for Human Values, Princeton University, Princeton, NJ, 08544, United States.
| | - Taylor O Phillips
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, 19104, United States
| | - Roy H Hamilton
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, 19104, United States
| |
Collapse
|
9
|
Sloane KL, Kasner SE, Favilla CG, Rothstein A, Witsch J, Hamilton RH, Schneider ALC. Always Look on the Bright Side: Associations of Optimism With Functional Outcomes After Stroke. J Am Heart Assoc 2023; 12:e027959. [PMID: 36870988 PMCID: PMC10111448 DOI: 10.1161/jaha.122.027959] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
Background Psychological health is as an important contributor to recovery after cardiovascular disease, but the roles of both optimism and depression in stroke recovery are not well characterized. Methods and Results A total of 879 participants in the SRUP (Stroke Recovery in Underserved Populations) 2005 to 2006 Study, aged ≥50 years, with incident stroke admitted to a rehabilitation facility were included. Optimism was assessed by the question: "Are you optimistic about the future?" Depression was defined by Center for Epidemiologic Studies Depression scale score >16. Participants were categorized into 4 groups: optimistic/without depression (n=581), optimistic/with depression (n=197), nonoptimistic/without depression (n=36), and nonoptimistic/with depression (n=65). Functional Independence Measure scores were used to assess stroke outcomes at discharge, 3 months after discharge, and 1 year after discharge with adjusted linear mixed models to estimate score trajectories. Participants were a mean age of 68 years (SD, 13 years), 52% were women, and 74% were White race. The optimistic/without depression group experienced the most recovery of total Functional Independence Measure scores in the first 3 months, 24.0 (95% CI, 22.5-25.4), followed by no change in the following 9 months, -0.3 (95% CI, -2.3 to 1.7), similar to the optimistic/with depression group with rapid recovery in 0 to 3 months, 21.1 (95% CI, 18.6-23.6) followed by minimal change in 3 to 12 months, 0.7 (95% CI, -2.8 to 4.1). The nonoptimistic groups demonstrated slow but continued recovery throughout the 12-month period, with overall change, 25.4 (95% CI, 17.6-33.2) in the nonoptimistic/without depression group and 17.6 (95% CI, 12.0-23.1) in the nonoptimistic/with depression group. There was robust effect modification between optimism and depression (Pinteraction<0.001). Conclusions In this longitudinal cohort, optimism and depression are synergistically associated with functional recovery after stroke. Measuring optimism status may help identify individuals at risk for worse poststroke recovery.
Collapse
Affiliation(s)
- Kelly L Sloane
- Department of Neurology University of Pennsylvania Perelman School of Medicine Philadelphia PA USA.,Department of Physical Medicine and Rehabilitation University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| | - Scott E Kasner
- Department of Neurology University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| | - Christopher G Favilla
- Department of Neurology University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| | - Aaron Rothstein
- Department of Neurology University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| | - Jens Witsch
- Department of Neurology University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| | - Roy H Hamilton
- Department of Neurology University of Pennsylvania Perelman School of Medicine Philadelphia PA USA.,Department of Physical Medicine and Rehabilitation University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| | - Andrea L C Schneider
- Department of Neurology University of Pennsylvania Perelman School of Medicine Philadelphia PA USA.,Department of Biostatistics, Epidemiology, and Informatics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| |
Collapse
|
10
|
Nissim NR, McAfee DC, Edwards S, Prato A, Lin JX, Lu Z, Coslett HB, Hamilton RH. Efficacy of Transcranial Alternating Current Stimulation in the Enhancement of Working Memory Performance in Healthy Adults: A Systematic Meta-Analysis. Neuromodulation 2023:S1094-7159(23)00009-0. [PMID: 36759231 DOI: 10.1016/j.neurom.2022.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 12/22/2022] [Accepted: 12/29/2022] [Indexed: 02/10/2023]
Abstract
BACKGROUND Transcranial alternating current stimulation (tACS)-a noninvasive brain stimulation technique that modulates cortical oscillations in the brain-has shown the capacity to enhance working memory (WM) abilities in healthy individuals. The efficacy of tACS in the improvement of WM performance in healthy individuals is not yet fully understood. OBJECTIVE/HYPOTHESIS This meta-analysis aimed to systematically evaluate the efficacy of tACS in the enhancement of WM in healthy individuals and to assess moderators of response to stimulation. We hypothesized that active tACS would significantly enhance WM compared with sham. We further hypothesized that it would do so in a task-dependent manner and that differing stimulation parameters would affect response to tACS. MATERIALS AND METHODS Ten tACS studies met the inclusion criteria and provided 32 effects in the overall analysis. Random-effect models assessed mean change scores on WM tasks from baseline to poststimulation. The included studies involved varied in stimulation parameters, between-subject and within-subject study designs, and online vs offline tACS. RESULTS We observed a significant, heterogeneous, and moderate effect size for active tACS in the enhancement of WM performance over sham (Cohen's d = 0.5). Cognitive load, task domain, session number, and stimulation region showed a significant relationship between active tACS and enhanced WM behavior over sham. CONCLUSIONS Our findings indicate that active tACS enhances WM performance in healthy individuals compared with sham. Future randomized controlled trials are needed to further explore key parameters, including personalized stimulation vs standardized electroencephalography frequencies and maintenance of tACS effects, and whether tACS-induced effects translate to populations with WM impairments.
Collapse
Affiliation(s)
- Nicole R Nissim
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Moss Rehabilitation Research Institute, Einstein Medical Center, Elkins Park, PA, USA.
| | - Darrian C McAfee
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Shanna Edwards
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amara Prato
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jennifer X Lin
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Zhiye Lu
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - H Branch Coslett
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Moss Rehabilitation Research Institute, Einstein Medical Center, Elkins Park, PA, USA
| | - Roy H Hamilton
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Moss Rehabilitation Research Institute, Einstein Medical Center, Elkins Park, PA, USA
| |
Collapse
|
11
|
Hamilton RH, Rose S, DeLisser HM. Defending Racial and Ethnic Diversity in Undergraduate and Medical School Admission Policies. JAMA 2023; 329:119-120. [PMID: 36477254 DOI: 10.1001/jama.2022.23124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
This Viewpoint argues that reversing or restricting the use of race and ethnicity in academic admission policies could also threaten the diversity of medical schools, both directly by restricting race consciousness in medical school admission practices and indirectly by reducing the overall number of minoritized undergraduate students attending US colleges and universities who could apply to medical school.
Collapse
Affiliation(s)
- Roy H Hamilton
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Suzanne Rose
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Horace M DeLisser
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
| |
Collapse
|
12
|
Hamilton RH, Goins RT. Improving Our Understanding of Cognitive Aging in American Indian Peoples. Neurology 2022; 99:1075-1076. [PMID: 36288999 DOI: 10.1212/wnl.0000000000201539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 09/23/2022] [Indexed: 11/15/2022] Open
Affiliation(s)
- Roy H Hamilton
- From the Department of Neurology (R.H.), University of Pennsylvania, Philadelphia; and College of Health and Human Sciences (R.T.G.), Western Carolina University, Cullowhee, NC.
| | - R Turner Goins
- From the Department of Neurology (R.H.), University of Pennsylvania, Philadelphia; and College of Health and Human Sciences (R.T.G.), Western Carolina University, Cullowhee, NC
| |
Collapse
|
13
|
Brunoni AR, Ekhtiari H, Antal A, Auvichayapat P, Baeken C, Benseñor IM, Bikson M, Boggio P, Borroni B, Brighina F, Brunelin J, Carvalho S, Caumo W, Ciechanski P, Charvet L, Clark VP, Cohen Kadosh R, Cotelli M, Datta A, Deng ZD, De Raedt R, De Ridder D, Fitzgerald PB, Floel A, Frohlich F, George MS, Ghobadi-Azbari P, Goerigk S, Hamilton RH, Jaberzadeh SJ, Hoy K, Kidgell DJ, Zonoozi AK, Kirton A, Laureys S, Lavidor M, Lee K, Leite J, Lisanby SH, Loo C, Martin DM, Miniussi C, Mondino M, Monte-Silva K, Morales-Quezada L, Nitsche MA, Okano AH, Oliveira CS, Onarheim B, Pacheco-Barrios K, Padberg F, Nakamura-Palacios EM, Palm U, Paulus W, Plewnia C, Priori A, Rajji TK, Razza LB, Rehn EM, Ruffini G, Schellhorn K, Zare-Bidoky M, Simis M, Skorupinski P, Suen P, Thibaut A, Valiengo LCL, Vanderhasselt MA, Vanneste S, Venkatasubramanian G, Violante IR, Wexler A, Woods AJ, Fregni F. Digitalized transcranial electrical stimulation: A consensus statement. Clin Neurophysiol 2022; 143:154-165. [PMID: 36115809 PMCID: PMC10031774 DOI: 10.1016/j.clinph.2022.08.018] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 08/16/2022] [Accepted: 08/20/2022] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Although relatively costly and non-scalable, non-invasive neuromodulation interventions are treatment alternatives for neuropsychiatric disorders. The recent developments of highly-deployable transcranial electric stimulation (tES) systems, combined with mobile-Health technologies, could be incorporated in digital trials to overcome methodological barriers and increase equity of access. The study aims are to discuss the implementation of tES digital trials by performing a systematic scoping review and strategic process mapping, evaluate methodological aspects of tES digital trial designs, and provide Delphi-based recommendations for implementing digital trials using tES. METHODS We convened 61 highly-productive specialists and contacted 8 tES companies to assess 71 issues related to tES digitalization readiness, and processes, barriers, advantages, and opportunities for implementing tES digital trials. Delphi-based recommendations (>60% agreement) were provided. RESULTS The main strengths/opportunities of tES were: (i) non-pharmacological nature (92% of agreement), safety of these techniques (80%), affordability (88%), and potential scalability (78%). As for weaknesses/threats, we listed insufficient supervision (76%) and unclear regulatory status (69%). Many issues related to methodological biases did not reach consensus. Device appraisal showed moderate digitalization readiness, with high safety and potential for trial implementation, but low connectivity. CONCLUSIONS Panelists recognized the potential of tES for scalability, generalizability, and leverage of digital trials processes; with no consensus about aspects regarding methodological biases. SIGNIFICANCE We further propose and discuss a conceptual framework for exploiting shared aspects between mobile-Health tES technologies with digital trials methodology to drive future efforts for digitizing tES trials.
Collapse
Affiliation(s)
- Andre R Brunoni
- Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil; Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo & Hospital Universitário, Universidade de São Paulo, São Paulo, Brazil; Laboratory of Neurosciences (LIM-27), Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Service of Interdisciplinary Neuromodulation (SIN), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
| | - Hamed Ekhtiari
- Laureate Institute for Brain Research (LIBR), Tulsa, OK, USA
| | - Andrea Antal
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Paradee Auvichayapat
- Department of Physiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Chris Baeken
- Vrije Universiteit Brussel (VUB): Department of Psychiatry University Hospital (UZBrussel), Brussels, Belgium; Department of Head and Skin, Ghent University Hospital, Ghent University, Ghent, Belgium; Ghent Experimental Psychiatry (GHEP) Lab, Ghent, Belgium; Eindhoven University of Technology, Department of Electrical Engineering, the Netherlands
| | - Isabela M Benseñor
- Center for Clinical and Epidemiological Research, University of São Paulo, São Paulo, Brazil
| | - Marom Bikson
- The Department of Biomedical Engineering, The City College of New York, The City University of New York, NY, USA
| | - Paulo Boggio
- Social and Cognitive Neuroscience Laboratory, Center for Biological Science and Health, Mackenzie Presbyterian University, São Paulo, Brazil
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy
| | - Filippo Brighina
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy
| | - Jerome Brunelin
- Centre Hospitalier le Vinatier, Bron, France; INSERM U1028, CNRS UMR 5292, PSYR2 Team, Centre de recherche en Neurosciences de Lyon (CRNL), Université Lyon 1, Lyon, France
| | - Sandra Carvalho
- Translational Neuropsychology Lab, Department of Education and Psychology and William James Center for Research (WJCR), University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
| | - Wolnei Caumo
- Post-Graduate Program in Medical Sciences, School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Brazil; Laboratory of Pain and Neuromodulation at Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil; Pain and Palliative Care Service at HCPA, Brazil; Department of Surgery, School of Medicine, UFRGS, Brazil
| | - Patrick Ciechanski
- Faculty of Medicine and Dentistry, University of Alberta, 1-002 Katz Group Centre for Pharmacy and Health Research, Edmonton, Alberta, Canada
| | - Leigh Charvet
- Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA
| | - Vincent P Clark
- Psychology Clinical Neuroscience Center, Department of Psychology, The University of New Mexico, Albuquerque, NM, USA
| | - Roi Cohen Kadosh
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | - Maria Cotelli
- Neuropsychology Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Abhishek Datta
- Research and Development, Soterix Medical Inc., New York, USA
| | - Zhi-De Deng
- Noninvasive Neuromodulation Unit, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Rudi De Raedt
- Department of Experimental Clinical and Health Psychology, Ghent University, Belgium
| | - Dirk De Ridder
- Section of Neurosurgery, Department of Surgical Sciences, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Paul B Fitzgerald
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Monash University Department of Psychiatry, Camberwell, Victoria, Australia
| | - Agnes Floel
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany; German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
| | - Flavio Frohlich
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA; Carolina Center for Neurostimulation, University of North Carolina, Chapel Hill, NC, USA; Neuroscience Center, University of North Carolina, Chapel Hill, NC, USA; Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, NC, USA; Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC, USA; Department of Neurology, University of North Carolina, Chapel Hill, NC, USA
| | - Mark S George
- Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA; Ralph H. Johnson VA Medical Center, Charleston, SC, USA
| | - Peyman Ghobadi-Azbari
- Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran; Department of Biomedical Engineering, Shahed University, Tehran, Iran
| | - Stephan Goerigk
- Department of Psychiatry and Psychotherapy, LMU Hospital, Munich, Germany; Department of Psychological Methodology and Assessment, LMU, Munich, Germany; Hochschule Fresenius, University of Applied Sciences, Munich, Germany
| | - Roy H Hamilton
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Shapour J Jaberzadeh
- Department of Physiotherapy, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Kate Hoy
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Monash University Department of Psychiatry, Camberwell, Victoria, Australia
| | - Dawson J Kidgell
- Department of Physiotherapy, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Science, Monash University, Melbourne, Australia
| | - Arash Khojasteh Zonoozi
- Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran; Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Adam Kirton
- Department of Clinical Neurosciences and Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
| | - Steven Laureys
- Coma Science Group, GIGA-Consciousness, GIGA Institute, University of Liège, Liege, Belgium
| | - Michal Lavidor
- Bar Ilan University, Department of Psychology, and the Gonda Brain Research Center, Israel
| | - Kiwon Lee
- Ybrain Corporation, Gyeonggi-do, Republic of Korea
| | - Jorge Leite
- INPP, Portucalense University, Porto, Portugal
| | - Sarah H Lisanby
- Noninvasive Neuromodulation Unit, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Colleen Loo
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Black Dog Institute, Sydney, NSW, Australia
| | - Donel M Martin
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Black Dog Institute, Sydney, NSW, Australia
| | - Carlo Miniussi
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy
| | - Marine Mondino
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy; Centre Hospitalier le Vinatier, Bron, France
| | - Katia Monte-Silva
- Applied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, UFPE, Recife, PE, Brazil; NAPeN Network (Núcleo de Assistência e Pesquisa em Neuromodulação), Brazil
| | - Leon Morales-Quezada
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA 02215, USA
| | - Michael A Nitsche
- Department of Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany; Department of Neurology, University Medical Hospital Bergmannsheil, Bochum, Germany
| | - Alexandre H Okano
- NAPeN Network (Núcleo de Assistência e Pesquisa em Neuromodulação), Brazil; Center for Mathematics, Computation, and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil; Brazilian Institute of Neuroscience and Neurotechnology (BRAINN/CEPID-FAPESP), University of Campinas, Campinas, São Paulo, Brazil
| | - Claudia S Oliveira
- Master's and Doctoral Program in Health Sciences, Faculty of Medical Sciences, Santa Casa de São Paulo, São Paulo, Brazil; Master's and Doctoral Program in Human Movement and Rehabilitation, Evangelical University of Goiás, Anápolis, Brazil
| | | | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Lima, Peru
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Ester M Nakamura-Palacios
- Laboratory of Cognitive Sciences and Neuropsychopharmacology, Program of Post-Graduation in Physiological Sciences, Health Sciences Center, Federal University of Espirito Santo, Vitória, ES, Brazil
| | - Ulrich Palm
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München, Munich, Germany; Medical Park Chiemseeblick, Rasthausstr. 25, 83233 Bernau-Felden, Germany
| | - Walter Paulus
- Department of Neurology. Ludwig Maximilians University Munich, Klinikum Großhadern, Marchioninistr, München, Germany
| | - Christian Plewnia
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), Neurophysiology and Interventional Neuropsychiatry, University of Tübingen, Tübingen, Germany
| | - Alberto Priori
- Aldo Ravelli Research Center for Neurotechnology and Experimental Neurotherapeutics, Department of Health Sciences, University of Milan, Milan, Italy
| | - Tarek K Rajji
- Centre for Addiction and Mental Health, Toronto, Canada; Temerty Faculty of Medicine, University of Toronto, Toronto, Canada; Toronto Dementia Research Alliance, Toronto, Canada
| | - Lais B Razza
- Service of Interdisciplinary Neuromodulation (SIN), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | | | | | | | - Mehran Zare-Bidoky
- Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran; School of Medicine, Shahid-Sadoughi University of Medical Sciences, Yazd, Iran
| | - Marcel Simis
- Physical and Rehabilitation Medicine Institute, General Hospital, Medical School of the University of Sao Paulo, São Paulo, Brazil
| | | | - Paulo Suen
- Service of Interdisciplinary Neuromodulation (SIN), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Aurore Thibaut
- Coma Science Group, GIGA-Consciousness & Centre du Cerveau, University and University Hospital of Liège, Liège, Belgium
| | - Leandro C L Valiengo
- Laboratory of Neurosciences (LIM-27), Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Service of Interdisciplinary Neuromodulation (SIN), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Marie-Anne Vanderhasselt
- Department of Head and Skin, Ghent University Hospital, Ghent University, Ghent, Belgium; Ghent Experimental Psychiatry (GHEP) Lab, Ghent, Belgium
| | - Sven Vanneste
- Lab for Clinical & Integrative Neuroscience, Trinity College of Neuroscience, Trinity College Dublin, Ireland
| | - Ganesan Venkatasubramanian
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, India
| | - Ines R Violante
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | - Anna Wexler
- Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, PA, USA
| | - Adam J Woods
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA; Department of Neuroscience, University of Florida, Gainesville, FL, USA
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
14
|
Erani F, Patel D, Deck BL, Hamilton RH, Schultheis MT, Medaglia JD. Investigating the influence of an effort-reward interaction on cognitive fatigue in individuals with multiple sclerosis. J Neuropsychol 2022. [PMID: 36208463 PMCID: PMC10082133 DOI: 10.1111/jnp.12295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 08/24/2022] [Accepted: 09/10/2022] [Indexed: 11/30/2022]
Abstract
This study examined whether an alteration in the effort-reward relationship, a theoretical framework based on cognitive neuroscience, could explain cognitive fatigue. Forty persons with MS and 40 healthy age- and education-matched cognitively healthy controls (HC) participated in a computerized switching task with orthogonal high- and low-demand (effort) and reward manipulations. We used the Visual Analog Scale of Fatigue (VAS-F) to assess subjective state fatigue before and after each condition during the task. We used mixed-effects models to estimate the association and interaction between effort and reward and their relationship to subjective fatigue and task performance. We found the high-demand condition was associated with increased VAS-F scores (p < .001), longer response times (RT) (p < .001) and lower accuracy (p < .001). The high-reward condition was associated with faster RT (p = .006) and higher accuracy (p = .03). There was no interaction effect between effort and reward on VAS-F scores or performance. Participants with MS reported higher VAS-F scores (p = .02). Across all conditions, participants with MS were slower (p < .001) and slower as a function of condition demand compared with HC (p < .001). This behavioural study did not find evidence that an effort-reward interaction is associated with cognitive fatigue. However, our findings support the role of effort in subjective cognitive fatigue and both effort and reward on task performance. In future studies, more salient reward manipulations could be necessary to identify effort-reward interactions on subjective cognitive fatigue.
Collapse
Affiliation(s)
- Fareshte Erani
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA
| | - Darshan Patel
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA
| | - Benjamin L Deck
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA
| | - Roy H Hamilton
- Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Maria T Schultheis
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA
| | - John D Medaglia
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA.,Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| |
Collapse
|
15
|
Nissim NR, Harvey DY, Haslam C, Friedman L, Bharne P, Litz G, Phillips JS, Cousins KAQ, Xie SX, Grossman M, Hamilton RH. Through Thick and Thin: Baseline Cortical Volume and Thickness Predict Performance and Response to Transcranial Direct Current Stimulation in Primary Progressive Aphasia. Front Hum Neurosci 2022; 16:907425. [PMID: 35874157 PMCID: PMC9302040 DOI: 10.3389/fnhum.2022.907425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 06/02/2022] [Indexed: 11/23/2022] Open
Abstract
Objectives We hypothesized that measures of cortical thickness and volume in language areas would correlate with response to treatment with high-definition transcranial direct current stimulation (HD-tDCS) in persons with primary progressive aphasia (PPA). Materials and Methods In a blinded, within-group crossover study, PPA patients (N = 12) underwent a 2-week intervention HD-tDCS paired with constraint-induced language therapy (CILT). Multi-level linear regression (backward-fitted models) were performed to assess cortical measures as predictors of tDCS-induced naming improvements, measured by the Western Aphasia Battery-naming subtest, from baseline to immediately after and 6 weeks post-intervention. Results Greater baseline thickness of the pars opercularis significantly predicted naming gains (p = 0.03) immediately following intervention, while greater thickness of the middle temporal gyrus (MTG) and lower thickness of the superior temporal gyrus (STG) significantly predicted 6-week naming gains (p's < 0.02). Thickness did not predict naming gains in sham. Volume did not predict immediate gains for active stimulation. Greater volume of the pars triangularis and MTG, but lower STG volume significantly predicted 6-week naming gains in active stimulation. Greater pars orbitalis and MTG volume, and lower STG volume predicted immediate naming gains in sham (p's < 0.05). Volume did not predict 6-week naming gains in sham. Conclusion Cortical thickness and volume were predictive of tDCS-induced naming improvement in PPA patients. The finding that frontal thickness predicted immediate active tDCS-induced naming gains while temporal areas predicted naming changes at 6-week suggests that a broader network of regions may be important for long-term maintenance of treatment gains. The finding that volume predicted immediate naming performance in the sham condition may reflect the benefits of behavioral speech language therapy and neural correlates of its short-lived treatment gains. Collectively, thickness and volume were predictive of treatment gains in the active condition but not sham, suggesting that pairing HD-tDCS with CILT may be important for maintaining treatment effects.
Collapse
Affiliation(s)
- Nicole R. Nissim
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Moss Rehabilitation Research Institute, Elkins Park, PA, United States
| | - Denise Y. Harvey
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Christopher Haslam
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Leah Friedman
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Pandurang Bharne
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, United States
| | - Geneva Litz
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, United States
| | - Jeffrey S. Phillips
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, United States
| | - Katheryn A. Q. Cousins
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, United States
| | - Sharon X. Xie
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, United States
| | - Murray Grossman
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, United States
| | - Roy H. Hamilton
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| |
Collapse
|
16
|
Parchure S, Harvey DY, Shah-Basak PP, DeLoretta L, Wurzman R, Sacchetti D, Faseyitan O, Lohoff FW, Hamilton RH. Brain-Derived Neurotrophic Factor Gene Polymorphism Predicts Response to Continuous Theta Burst Stimulation in Chronic Stroke Patients. Neuromodulation 2022; 25:569-577. [PMID: 35667772 PMCID: PMC8913155 DOI: 10.1111/ner.13495] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 06/02/2021] [Accepted: 06/07/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVES The efficacy of repetitive transcranial magnetic stimulation (rTMS) in clinically relevant neuroplasticity research depends on the degree to which stimulation induces robust, reliable effects. The high degree of interindividual and intraindividual variability observed in response to rTMS protocols, such as continuous theta burst stimulation (cTBS), therefore represents an obstacle to its utilization as treatment for neurological disorders. Brain-derived neurotrophic factor (BDNF) is a protein involved in human synaptic and neural plasticity, and a common polymorphism in the BDNF gene (Val66Met) may influence the capacity for neuroplastic changes that underlie the effects of cTBS and other rTMS protocols. While evidence from healthy individuals suggests that Val66Met polymorphism carriers may show diminished or facilitative effects of rTMS compared to their homozygous Val66Val counterparts, this has yet to be demonstrated in the patient populations where neuromodulatory therapies are most relevant. MATERIALS AND METHODS We examined the effects of BDNF Val66Met polymorphism on cTBS aftereffects in stroke patients. We compared approximately 30 log-transformed motor-evoked potentials (LnMEPs) obtained per time point: at baseline and at 0, 10, 20, and 30 min after cTBS-600, from 18 patients with chronic stroke using single TMS pulses. We used linear mixed-effects regression with trial-level data nested by subject for higher statistical power. RESULTS We found a significant interaction between BDNF genotype and pre-/post-cTBS LnMEPs. Val66Val carriers showed decrease in cortical excitability, whereas Val66Met carriers exhibited a modest increase in cortical excitability for 20 min poststimulation, followed by inhibition 30 min after cTBS-600. CONCLUSIONS Our findings strongly suggest that BDNF genotype differentially affects neuroplastic responses to TMS in individuals with chronic stroke. This provides novel insight into potential sources of variability in cTBS response in patients, which has important implications for optimizing the utility of this neuromodulation approach. Incorporating BDNF polymorphism genetic screening to stratify patients prior to use of cTBS as a neuromodulatory technique in therapy or research may optimize response rates.
Collapse
Affiliation(s)
- Shreya Parchure
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Denise Y Harvey
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Priyanka P Shah-Basak
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, Medical College of Wisconsin, Wauwatosa, WI, USA
| | - Laura DeLoretta
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Rachel Wurzman
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniela Sacchetti
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Olufunsho Faseyitan
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Falk W Lohoff
- National Institute for Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Roy H Hamilton
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
| |
Collapse
|
17
|
Dresang HC, Harvey DY, Xie SX, Shah-Basak PP, DeLoretta L, Wurzman R, Parchure SY, Sacchetti D, Faseyitan O, Lohoff FW, Hamilton RH. Genetic and Neurophysiological Biomarkers of Neuroplasticity Inform Post-Stroke Language Recovery. Neurorehabil Neural Repair 2022; 36:371-380. [PMID: 35428413 PMCID: PMC9133188 DOI: 10.1177/15459683221096391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND There is high variability in post-stroke aphasia severity and predicting recovery remains imprecise. Standard prognostics do not include neurophysiological indicators or genetic biomarkers of neuroplasticity, which may be critical sources of variability. OBJECTIVE To evaluate whether a common polymorphism (Val66Met) in the gene for brain-derived neurotrophic factor (BDNF) contributes to variability in post-stroke aphasia, and to assess whether BDNF polymorphism interacts with neurophysiological indicators of neuroplasticity (cortical excitability and stimulation-induced neuroplasticity) to improve estimates of aphasia severity. METHODS Saliva samples and motor-evoked potentials (MEPs) were collected from participants with chronic aphasia subsequent to left-hemisphere stroke. MEPs were collected prior to continuous theta burst stimulation (cTBS; index for cortical excitability) and 10 minutes following cTBS (index for stimulation-induced neuroplasticity) to the right primary motor cortex. Analyses assessed the extent to which BDNF polymorphism interacted with cortical excitability and stimulation-induced neuroplasticity to predict aphasia severity beyond established predictors. RESULTS Val66Val carriers showed less aphasia severity than Val66Met carriers, after controlling for lesion volume and time post-stroke. Furthermore, Val66Val carriers showed expected effects of age on aphasia severity, and positive associations between severity and both cortical excitability and stimulation-induced neuroplasticity. In contrast, Val66Met carriers showed weaker effects of age and negative associations between cortical excitability, stimulation-induced neuroplasticity and aphasia severity. CONCLUSIONS Neurophysiological indicators and genetic biomarkers of neuroplasticity improved aphasia severity predictions. Furthermore, BDNF polymorphism interacted with cortical excitability and stimulation-induced neuroplasticity to improve predictions. These findings provide novel insights into mechanisms of variability in stroke recovery and may improve aphasia prognostics.
Collapse
Affiliation(s)
- Haley C. Dresang
- Department of Neurology, University of Pennsylvania, Perelman School of Medicine, 3710 Hamilton Walk, Philadelphia, PA 19104,Moss Rehabilitation Research Institute, Einstein Medical Center, 50 Township Line Road, Philadelphia, PA 19027,Corresponding author:, Department of Neurology, University of Pennsylvania, Perelman School of Medicine, 3710 Hamilton Walk, Philadelphia, PA 19104
| | - Denise Y. Harvey
- Department of Neurology, University of Pennsylvania, Perelman School of Medicine, 3710 Hamilton Walk, Philadelphia, PA 19104
| | - Sharon Xiangwen Xie
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Perelman School of Medicine, 607 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104
| | - Priyanka P. Shah-Basak
- Medical College of Wisconsin, Department of Neurology, 8701 Watertown Plank Road Milwaukee, WI 53226
| | - Laura DeLoretta
- Department of Neurology, University of Pennsylvania, Perelman School of Medicine, 3710 Hamilton Walk, Philadelphia, PA 19104
| | - Rachel Wurzman
- Department of Neurology, University of Pennsylvania, Perelman School of Medicine, 3710 Hamilton Walk, Philadelphia, PA 19104
| | - Shreya Y. Parchure
- Department of Neurology, University of Pennsylvania, Perelman School of Medicine, 3710 Hamilton Walk, Philadelphia, PA 19104
| | - Daniela Sacchetti
- Department of Neurology, University of Pennsylvania, Perelman School of Medicine, 3710 Hamilton Walk, Philadelphia, PA 19104
| | - Olufunsho Faseyitan
- Department of Neurology, University of Pennsylvania, Perelman School of Medicine, 3710 Hamilton Walk, Philadelphia, PA 19104
| | - Falk W. Lohoff
- National Institute for Alcohol Abuse and Alcoholism, National Institutes of Health (NIH), 10 Center Drive (10CRC/2-2352), Bethesda, MD 20892
| | - Roy H. Hamilton
- Department of Neurology, University of Pennsylvania, Perelman School of Medicine, 3710 Hamilton Walk, Philadelphia, PA 19104
| |
Collapse
|
18
|
Antal A, Luber B, Brem AK, Bikson M, Brunoni AR, Cohen Kadosh R, Dubljević V, Fecteau S, Ferreri F, Flöel A, Hallett M, Hamilton RH, Herrmann CS, Lavidor M, Loo C, Lustenberger C, Machado S, Miniussi C, Moliadze V, Nitsche MA, Rossi S, Rossini PM, Santarnecchi E, Seeck M, Thut G, Turi Z, Ugawa Y, Venkatasubramanian G, Wenderoth N, Wexler A, Ziemann U, Paulus W. Non-invasive brain stimulation and neuroenhancement. Clin Neurophysiol Pract 2022; 7:146-165. [PMID: 35734582 PMCID: PMC9207555 DOI: 10.1016/j.cnp.2022.05.002] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 04/19/2022] [Accepted: 05/18/2022] [Indexed: 12/15/2022] Open
Abstract
The available data frame with a wide parameter space of tES does not allow an overarching protocol recommendation. Established engineering risk-management procedures with regard to manufacturing should be followed. Consensus among experts is that tES for neuroenhancement is safe as long as tested protocols are followed.
Attempts to enhance human memory and learning ability have a long tradition in science. This topic has recently gained substantial attention because of the increasing percentage of older individuals worldwide and the predicted rise of age-associated cognitive decline in brain functions. Transcranial brain stimulation methods, such as transcranial magnetic (TMS) and transcranial electric (tES) stimulation, have been extensively used in an effort to improve cognitive functions in humans. Here we summarize the available data on low-intensity tES for this purpose, in comparison to repetitive TMS and some pharmacological agents, such as caffeine and nicotine. There is no single area in the brain stimulation field in which only positive outcomes have been reported. For self-directed tES devices, how to restrict variability with regard to efficacy is an essential aspect of device design and function. As with any technique, reproducible outcomes depend on the equipment and how well this is matched to the experience and skill of the operator. For self-administered non-invasive brain stimulation, this requires device designs that rigorously incorporate human operator factors. The wide parameter space of non-invasive brain stimulation, including dose (e.g., duration, intensity (current density), number of repetitions), inclusion/exclusion (e.g., subject’s age), and homeostatic effects, administration of tasks before and during stimulation, and, most importantly, placebo or nocebo effects, have to be taken into account. The outcomes of stimulation are expected to depend on these parameters and should be strictly controlled. The consensus among experts is that low-intensity tES is safe as long as tested and accepted protocols (including, for example, dose, inclusion/exclusion) are followed and devices are used which follow established engineering risk-management procedures. Devices and protocols that allow stimulation outside these parameters cannot claim to be “safe” where they are applying stimulation beyond that examined in published studies that also investigated potential side effects. Brain stimulation devices marketed for consumer use are distinct from medical devices because they do not make medical claims and are therefore not necessarily subject to the same level of regulation as medical devices (i.e., by government agencies tasked with regulating medical devices). Manufacturers must follow ethical and best practices in marketing tES stimulators, including not misleading users by referencing effects from human trials using devices and protocols not similar to theirs.
Collapse
Affiliation(s)
- Andrea Antal
- Department of Neurology, University Medical Center, Göttingen, Germany
- Corresponding author at: Department of Neurology, University Medical Center, Göttingen, Robert Koch Str. 40, 37075 Göttingen, Germany.
| | - Bruce Luber
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Anna-Katharine Brem
- University Hospital of Old Age Psychiatry, University of Bern, Bern, Switzerland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Marom Bikson
- Biomedical Engineering at the City College of New York (CCNY) of the City University of New York (CUNY), NY, USA
| | - Andre R. Brunoni
- Departamento de Clínica Médica e de Psiquiatria, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
- Service of Interdisciplinary Neuromodulation (SIN), Laboratory of Neurosciences (LIM-27), Institute of Psychiatry, Hospital das Clínicas da Faculdade de Medicina da USP, São Paulo, Brazil
| | - Roi Cohen Kadosh
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK
| | - Veljko Dubljević
- Science, Technology and Society Program, College of Humanities and Social Sciences, North Carolina State University, Raleigh, NC, USA
| | - Shirley Fecteau
- Department of Psychiatry and Neurosciences, Faculty of Medicine, Université Laval, CERVO Brain Research Centre, Centre intégré universitaire en santé et services sociaux de la Capitale-Nationale, Quebec City, Quebec, Canada
| | - Florinda Ferreri
- Unit of Neurology, Unit of Clinical Neurophysiology, Study Center of Neurodegeneration (CESNE), Department of Neuroscience, University of Padua, Padua, Italy
- Department of Clinical Neurophysiology, Kuopio University Hospital, University of Eastern Finland, Kuopio, Finland
| | - Agnes Flöel
- Department of Neurology, Universitätsmedizin Greifswald, 17475 Greifswald, Germany
- German Centre for Neurodegenerative Diseases (DZNE) Standort Greifswald, 17475 Greifswald, Germany
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Roy H. Hamilton
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Christoph S. Herrmann
- Experimental Psychology Lab, Department of Psychology, Carl von Ossietzky Universität, Oldenburg, Germany
| | - Michal Lavidor
- Department of Psychology and the Gonda Brain Research Center, Bar Ilan University, Israel
| | - Collen Loo
- School of Psychiatry and Black Dog Institute, University of New South Wales; The George Institute; Sydney, Australia
| | - Caroline Lustenberger
- Neural Control of Movement Lab, Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, 8092 Zurich, Switzerland
| | - Sergio Machado
- Department of Sports Methods and Techniques, Federal University of Santa Maria, Santa Maria, Brazil
- Laboratory of Physical Activity Neuroscience, Neurodiversity Institute, Queimados-RJ, Brazil
| | - Carlo Miniussi
- Center for Mind/Brain Sciences – CIMeC and Centre for Medical Sciences - CISMed, University of Trento, Rovereto, Italy
| | - Vera Moliadze
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | - Michael A Nitsche
- Department Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors at TU, Dortmund, Germany
- Dept. Neurology, University Medical Hospital Bergmannsheil, Bochum, Germany
| | - Simone Rossi
- Siena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), Unit of Neurology and Clinical Neurophysiology, Department of Medicine, Surgery and Neuroscience, University of Siena, Italy
| | - Paolo M. Rossini
- Department of Neuroscience and Neurorehabilitation, Brain Connectivity Lab, IRCCS-San Raffaele-Pisana, Rome, Italy
| | - Emiliano Santarnecchi
- Precision Neuroscience and Neuromodulation Program, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Margitta Seeck
- Department of Clinical Neurosciences, Hôpitaux Universitaires de Genève, Switzerland
| | - Gregor Thut
- Centre for Cognitive Neuroimaging, School of Psychology and Neuroscience, EEG & Epolepsy Unit, University of Glasgow, United Kingdom
| | - Zsolt Turi
- Department of Neuroanatomy, Institute of Anatomy and Cell Biology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Yoshikazu Ugawa
- Department of Human Neurophysiology, Fukushima Medical University, Fukushima, Japan
| | | | - Nicole Wenderoth
- Neural Control of Movement Lab, Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, 8092 Zurich, Switzerland
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence And Technological Enterprise (CREATE), Singapore
| | - Anna Wexler
- Department of Medical Ethics and Health Policy, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ulf Ziemann
- Department of Neurology and Stroke, University of Tübingen, Germany
- Hertie Institute for Clinical Brain Research, University of Tübingen, Germany
| | - Walter Paulus
- Department of of Neurology, Ludwig Maximilians University Munich, Germany
| |
Collapse
|
19
|
Cember ATJ, Deck BL, Kelkar A, Faseyitan O, Zimmerman JP, Erickson B, Elliott MA, Coslett HB, Hamilton RH, Reddy R, Medaglia JD. Glutamate-Weighted Magnetic Resonance Imaging (GluCEST) Detects Effects of Transcranial Magnetic Stimulation to the Motor Cortex. Neuroimage 2022; 256:119191. [PMID: 35413447 DOI: 10.1016/j.neuroimage.2022.119191] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 03/18/2022] [Accepted: 04/05/2022] [Indexed: 11/18/2022] Open
Abstract
Transcranial magnetic stimulation (TMS) is used in several FDA-approved treatments and, increasingly, to treat neurological disorders in off-label uses. However, the mechanism by which TMS causes physiological change is unclear, as are the origins of response variability in the general population. Ideally, objective in vivo biomarkers could shed light on these unknowns and eventually inform personalized interventions. Continuous theta-burst stimulation (cTBS) is a form of TMS observed to reduce motor evoked potentials (MEPs) for 60 min or longer post-stimulation, although the consistency of this effect and its mechanism continue to be under debate. Here, we use glutamate-weighted chemical exchange saturation transfer (gluCEST) magnetic resonance imaging (MRI) at ultra-high magnetic field (7T) to measure changes in glutamate concentration at the site of cTBS. We find that the gluCEST signal in the ipsilateral hemisphere of the brain generally decreases in response to cTBS, whereas consistent changes were not detected in the contralateral region of interest (ROI) or in subjects receiving sham stimulation.
Collapse
Affiliation(s)
- Abigail T J Cember
- Center for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
| | - Benjamin L Deck
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, USA
| | - Apoorva Kelkar
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, USA
| | - Olu Faseyitan
- Department of Neurology, Laboratory for Cognition and Neural Stimulation, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Jared P Zimmerman
- Department of Neurology, Laboratory for Cognition and Neural Stimulation, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Brian Erickson
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, USA
| | - Mark A Elliott
- Center for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - H Branch Coslett
- Department of Neurology, Laboratory for Cognition and Neural Stimulation, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Roy H Hamilton
- Department of Neurology, Laboratory for Cognition and Neural Stimulation, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Ravinder Reddy
- Center for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - John D Medaglia
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, USA; Department of Neurology, Laboratory for Cognition and Neural Stimulation, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
20
|
Hamilton RH, Harvey DY. Neuromodulation of the language system: A critical advance in understanding language processing and treating disorders of communication. Brain Lang 2022; 226:105080. [PMID: 35051789 DOI: 10.1016/j.bandl.2022.105080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- Roy H Hamilton
- Department of Neurology, University of Pennsylvania, Philadelphia, PA USA.
| | - Denise Y Harvey
- Department of Neurology, University of Pennsylvania, Philadelphia, PA USA
| |
Collapse
|
21
|
Fernandez KA, Hamilton RH, Cabrera LY, Medaglia JD. Context-Dependent Risk & Benefit Sensitivity Mediate Judgments About Cognitive Enhancement. AJOB Neurosci 2022; 13:73-77. [PMID: 34931943 PMCID: PMC9867800 DOI: 10.1080/21507740.2021.2001077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Opinions about cognitive enhancement (CE) are context-dependent. Prior research has demonstrated that factors like peer pressure, the influence of authority figures, competition, moral relevance, familiarity with enhancement devices, expertise, and the domain of CE to be enhanced can influence opinions. The variability and malleability of patient, expert, and public attitudes toward CE is important to describe and predict because these attitudes can influence at-home, clinical, research, and regulatory decisions. If individual preferences vary, they could influence opinions about practices and regulations due to disagreements about the desirable levels of risks and benefits. The study of attitudes about CE would benefit from psychological theories that explain judgments. In particular, we suggest that variability in risk and benefit sensitivity could psychologically mediate judgments about CE in many contexts. Drawing from prospect theory, which originated in behavioral economics, it is likely that framing effects, shifted reference points, and the tendency to weigh losses (risks) more heavily than gains (benefits) predict decisions about CE. We suggest that public policy could benefit from a shared conceptual framework, such as prospect theory, that allows us to describe and predict real-world decisions about CE by patients, experts, and the public.
Collapse
Affiliation(s)
| | | | | | - John D. Medaglia
- Drexel University and Perelman School of Medicine, University of Pennsylvania
| |
Collapse
|
22
|
Mendizabal A, Fan JH, Price RS, Hamilton RH. Feasibility and effectiveness appraisal of a neurology residency health equities curriculum. J Neurol Sci 2021; 431:120040. [PMID: 34748973 DOI: 10.1016/j.jns.2021.120040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 09/28/2021] [Accepted: 10/20/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Despite increasing awareness of inequities in healthcare in neurology, health equity is not a core competency of neurology training. To meet this need, we implemented a health equities curriculum for neurology residents at the Hospital of the University of Pennsylvania. METHODS A seven-lecture health equities curriculum was implemented during the 2019-2020 academic year. Surveys were distributed pre-and post-curriculum to assess resident demographics, previous training in health equities, curriculum effectiveness addressing health equities topics, and resident appraisal of the curriculum. RESULTS On average, residents attended 2-3 lectures. Most of the residents who participated were White-Non Latinx women. Residents who did not participate in the curriculum listed clinical responsibilities as the main reason for absenteeism. Residents who participated felt the curriculum was at least somewhat effective in addressing health disparities, cultural competency, and implicit bias. 64% of the residents felt the curriculum was effective in improving their preparedness in caring for underserved patients. CONCLUSION Implementing a health equities curriculum in neurology residency programs is feasible and well-received by residents. Given inconsistent attendance and a small sample size, we are unable to assess its true effectiveness. Nonetheless, residents felt it prepared them in addressing disparities in neurological care. A longer curriculum will help in assessing the effectiveness of this curriculum intervention. A standard health equities curriculum should be implemented across neurology residency programs, and health equities should be considered a core competency topic for the American Board of Psychiatry and Neurology (ABPN) certification.
Collapse
Affiliation(s)
- Adys Mendizabal
- Department of Neurology, University of California-Los Angeles, Los Angeles, CA, USA.
| | - Jessica H Fan
- Department of Neurology, University of California-San Francisco, San Francisco, CA, USA
| | - Raymond S Price
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Roy H Hamilton
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
23
|
Devlin KN, Brennan L, Saad L, Giovannetti T, Hamilton RH, Wolk DA, Xie SX, Mechanic-Hamilton D. Diagnosing Mild Cognitive Impairment Among Racially Diverse Older Adults: Comparison of Consensus, Actuarial, and Statistical Methods. J Alzheimers Dis 2021; 85:627-644. [PMID: 34864658 DOI: 10.3233/jad-210455] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Actuarial and statistical methods have been proposed as alternatives to conventional methods of diagnosing mild cognitive impairment (MCI), with the aim of enhancing diagnostic and prognostic validity, but have not been compared in racially diverse samples. OBJECTIVE We compared the agreement of consensus, actuarial, and statistical MCI diagnostic methods, and their relationship to race and prognostic indicators among diverse older adults. METHODS Participants (N = 354; M age = 71; 68% White, 29% Black) were diagnosed with MCI or normal cognition (NC) according to clinical consensus, actuarial neuropsychological criteria (Jak/Bondi), and latent class analysis (LCA). We examined associations with race/ethnicity, longitudinal cognitive and functional change, and incident dementia. RESULTS MCI rates by consensus, actuarial criteria, and LCA were 44%, 53%, and 41%, respectively. LCA identified three MCI subtypes (memory; memory/language; memory/executive) and two NC classes (low normal; high normal). Diagnostic agreement was substantial, but agreement of the actuarial method with consensus and LCA was weaker than the agreement between consensus and LCA. Among cases classified as MCI by actuarial criteria only, Black participants were over-represented, and outcomes were generally similar to those of NC participants. Consensus diagnoses best predicted longitudinal outcomes overall, whereas actuarial diagnoses best predicted longitudinal functional change among Black participants. CONCLUSION Consensus diagnoses optimize specificity in predicting dementia, but among Black older adults, actuarial diagnoses may be more sensitive to early signs of decline. Results highlight the need for cross-cultural validity in MCI diagnosis and should be explored in community- and population-based samples.
Collapse
Affiliation(s)
- Kathryn N Devlin
- Department of Psychology, Drexel University, Philadelphia, PA, USA
| | - Laura Brennan
- Department of Neurology, Thomas Jefferson University Hospital, Philadelphia, PA, USA
| | - Laura Saad
- Department of Psychology, Rutgers University, New Brunswick, NJ, USA
| | | | - Roy H Hamilton
- Alzheimer's Disease Research Center, University of Pennsylvania, Philadelphia, PA, USA.,Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Alzheimer's Disease Research Center, University of Pennsylvania, Philadelphia, PA, USA.,Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Sharon X Xie
- Alzheimer's Disease Research Center, University of Pennsylvania, Philadelphia, PA, USA.,Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Dawn Mechanic-Hamilton
- Alzheimer's Disease Research Center, University of Pennsylvania, Philadelphia, PA, USA.,Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
24
|
Harvey DY, Parchure S, Hamilton RH. Factors predicting long-term recovery from post-stroke aphasia. Aphasiology 2021; 36:1351-1372. [PMID: 36685216 PMCID: PMC9855303 DOI: 10.1080/02687038.2021.1966374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 08/05/2021] [Indexed: 06/17/2023]
Abstract
BACKGROUND It remains widely accepted that spontaneous recovery from aphasia is largely limited to the first related factors. This has direct implications for acute and chronic interventions for aphasia. few months following stroke. A few recent studies challenge this view, revealing that some individuals' language abilities improve even during the chronic stage. AIMS To identify prognostic indicators of long-term aphasia recovery. METHODS & PROCEDURES Eighteen people with aphasia initially evaluated in the chronic stage were retested at least one year later. The Western Aphasia Battery-Revised (WAB-R) Aphasia Quotient (AQ) was used to quantify changes in language impairment. Prognostic factors included those related to the patient (demographic, psychosocial), stroke (lesion volume and location), and treatment (medical, rehabilitative). OUTCOMES & RESULTS Twelve participants improved and 6 remained stable or declined. Linear regression analysis revealed that lesion volume predicted long-term language gains, with smaller lesions yielding greater improvements. Individuals who did not improve were more likely to have lesions encompassing critical frontal and temporoparietal cortical regions and interconnecting white matter pathways. Exploratory regression analysis of psychosocial and treatment-related factors revealed a positive relationship between improvement and satisfaction with life participation, and a negative relationship between improvement and perceived impairment severity. Critically, psychosocial and treatment-related factors significantly improved model fit over lesion volume, suggesting that these factors add predictive value to determining long-term aphasia prognosis. CONCLUSIONS Long-term aphasia recovery is multidetermined by a combination of stroke-, psychosocial-, and treatment-related factors. This has direct implications for acute and chronic interventions for aphasia.
Collapse
Affiliation(s)
- Denise Y. Harvey
- Department of Neurology, University of Pennsylvania, Philadelphia, PA
- Moss Rehabilitation Research Institute, Elkins Park, PA
| | - Shreya Parchure
- Department of Neurology, University of Pennsylvania, Philadelphia, PA
| | - Roy H. Hamilton
- Department of Neurology, University of Pennsylvania, Philadelphia, PA
| |
Collapse
|
25
|
Harvey DY, DeLoretta L, Shah-Basak PP, Wurzman R, Sacchetti D, Ahmed A, Thiam A, Lohoff FW, Faseyitan O, Hamilton RH. Variability in cTBS Aftereffects Attributed to the Interaction of Stimulus Intensity With BDNF Val66Met Polymorphism. Front Hum Neurosci 2021; 15:585533. [PMID: 34220466 PMCID: PMC8249815 DOI: 10.3389/fnhum.2021.585533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 05/12/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: To evaluate whether a common polymorphism (Val66Met) in the gene for brain-derived neurotrophic factor (BDNF)-a gene thought to influence plasticity-contributes to inter-individual variability in responses to continuous theta-burst stimulation (cTBS), and explore whether variability in stimulation-induced plasticity among Val66Met carriers relates to differences in stimulation intensity (SI) used to probe plasticity. Methods: Motor evoked potentials (MEPs) were collected from 33 healthy individuals (11 Val66Met) prior to cTBS (baseline) and in 10 min intervals immediately following cTBS for a total of 30 min post-cTBS (0 min post-cTBS, 10 min post-cTBS, 20 min post cTBS, and 30 min post-cTBS) of the left primary motor cortex. Analyses assessed changes in cortical excitability as a function of BDNF (Val66Val vs. Val66Met) and SI. Results: For both BDNF groups, MEP-suppression from baseline to post-cTBS time points decreased as a function of increasing SI. However, the effect of SI on MEPs was more pronounced for Val66Met vs. Val66Val carriers, whereby individuals probed with higher vs. lower SIs resulted in paradoxical cTBS aftereffects (MEP-facilitation), which persisted at least 30 min post-cTBS administration. Conclusions: cTBS aftereffects among BDNF Met allele carriers are more variable depending on the SI used to probe cortical excitability when compared to homozygous Val allele carriers, which could, to some extent, account for the inconsistency of previously reported cTBS effects. Significance: These data provide insight into the sources of cTBS response variability, which can inform how best to stratify and optimize its use in investigational and clinical contexts.
Collapse
Affiliation(s)
- Denise Y. Harvey
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Research Department, Moss Rehabilitation Research Institute, Philadelphia, PA, United States
| | - Laura DeLoretta
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | | | - Rachel Wurzman
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Daniela Sacchetti
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Ahmed Ahmed
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Abdou Thiam
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Falk W. Lohoff
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health (NIH), Bethesda, MD, United States
| | - Olufunsho Faseyitan
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Roy H. Hamilton
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| |
Collapse
|
26
|
Schwab PJ, Miller A, Raphail AM, Levine A, Haslam C, Coslett HB, Hamilton RH. Virtual Reality Tools for Assessing Unilateral Spatial Neglect: A Novel Opportunity for Data Collection. J Vis Exp 2021. [PMID: 33779608 DOI: 10.3791/61951] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Abstract
Unilateral spatial neglect (USN) is a syndrome characterized by inattention to or inaction in one side of space and affects between 23-46% of acute stroke survivors. The diagnosis and characterization of these symptoms in individual patients can be challenging and often requires skilled clinical staff. Virtual reality (VR) presents an opportunity to develop novel assessment tools for patients with USN. We aimed to design and build a VR tool to detect and characterize subtle USN symptoms, and to test the tool on subjects treated with inhibitory repetitive transcranial magnetic stimulation (TMS) of cortical regions associated with USN. We created three experimental conditions by applying TMS to two distinct regions of cortex associated with visuospatial processing- the superior temporal gyrus (STG) and the supramarginal gyrus (SMG) - and applied sham TMS as a control. We then placed subjects in a virtual reality environment in which they were asked to identify the flowers with lateral asymmetries of flowers distributed across bushes in both hemispaces, with dynamic difficulty adjustment based on each subject's performance. We found significant differences in average head yaw between subjects stimulated at the STG and those stimulated at the SMG and marginally significant effects in the average visual axis. VR technology is becoming more accessible, affordable, and robust, presenting an exciting opportunity to create useful and novel game-like tools. In conjunction with TMS, these tools could be used to study specific, isolated, artificial neurological deficits in healthy subjects, informing the creation of VR-based diagnostic tools for patients with deficits due to acquired brain injury. This study is the first to our knowledge in which artificially generated USN symptoms have been evaluated with a VR task.
Collapse
Affiliation(s)
- Peter J Schwab
- Department of Neurology, University of Pennsylvania; Laboratory for Cognition and Neural Stimulation, University of Pennsylvania;
| | - Alex Miller
- Laboratory for Cognition and Neural Stimulation, University of Pennsylvania
| | | | - Ari Levine
- Laboratory for Cognition and Neural Stimulation, University of Pennsylvania
| | - Christopher Haslam
- Laboratory for Cognition and Neural Stimulation, University of Pennsylvania
| | - H Branch Coslett
- Department of Neurology, University of Pennsylvania; Laboratory for Cognition and Neural Stimulation, University of Pennsylvania
| | - Roy H Hamilton
- Department of Neurology, University of Pennsylvania; Laboratory for Cognition and Neural Stimulation, University of Pennsylvania; Department of Physical Medicine and Rehabilitation, University of Pennsylvania
| |
Collapse
|
27
|
Mohile NA, Spector AR, Ebong IM, Flippen C, Gutierrez C, Leacock RO, Marulanda-Londoño E, Mejia NI, Thomas R, Hamilton RH. Developing the Neurology Diversity Officer: A Roadmap for Academic Neurology Departments. Neurology 2021; 96:386-394. [PMID: 33402439 DOI: 10.1212/wnl.0000000000011460] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 11/02/2020] [Indexed: 11/15/2022] Open
Abstract
Academic neurology departments must confront the challenges of developing a diverse workforce, reducing inequity and discrimination within academia, and providing neurologic care for an increasingly diverse society. A neurology diversity officer should have a specific role and associated title within a neurology department as well as a mandate to focus their efforts on issues of equity, diversity, and inclusion that affect staff, trainees, and faculty. This role is expansive and works across departmental missions, but it has many challenges related to structural intolerance and cultural gaps. In this review, we describe the many challenges that diversity officers face and how they might confront them. We delineate the role and duties of the neurology diversity officer and provide a guide to departmental leaders on how to assess qualifications and evaluate progress. Finally, we describe the elements necessary for success. A neurology diversity officer should have the financial, administrative, and emotional support of leadership in order for them to carry out their mission and to truly have a positive influence.
Collapse
Affiliation(s)
- Nimish A Mohile
- From the Department of Neurology (N.A.M.), University of Rochester Medical Center, NY; Department of Neurology (A.R.S.), Duke University Medical Center, Durham, NC; Department of Neurology (I.M.E.), University of Kentucky College of Medicine, Lexington; Department of Neurology (C.F.), David Geffen School of Medicine at UCLA, Los Angeles, CA; Department of Neurology (C.G.), University of Maryland Medical Center, Baltimore; Palmetto Health USC Neurosurgery/Neurocritical Care (R.O.L.), Columbia, SC; Department of Neurology (E.M.-L.), University of Miami Miller School of Medicine, FL; Department of Neurology (N.I.M.), Massachusetts General Hospital, Harvard Medical School, Boston; Department of Neurology (R.T.), Stanford University School of Medicine, CA; and Department of Neurology (R.H.H.), University of Pennsylvania, Philadelphia.
| | - Andrew R Spector
- From the Department of Neurology (N.A.M.), University of Rochester Medical Center, NY; Department of Neurology (A.R.S.), Duke University Medical Center, Durham, NC; Department of Neurology (I.M.E.), University of Kentucky College of Medicine, Lexington; Department of Neurology (C.F.), David Geffen School of Medicine at UCLA, Los Angeles, CA; Department of Neurology (C.G.), University of Maryland Medical Center, Baltimore; Palmetto Health USC Neurosurgery/Neurocritical Care (R.O.L.), Columbia, SC; Department of Neurology (E.M.-L.), University of Miami Miller School of Medicine, FL; Department of Neurology (N.I.M.), Massachusetts General Hospital, Harvard Medical School, Boston; Department of Neurology (R.T.), Stanford University School of Medicine, CA; and Department of Neurology (R.H.H.), University of Pennsylvania, Philadelphia
| | - Ima M Ebong
- From the Department of Neurology (N.A.M.), University of Rochester Medical Center, NY; Department of Neurology (A.R.S.), Duke University Medical Center, Durham, NC; Department of Neurology (I.M.E.), University of Kentucky College of Medicine, Lexington; Department of Neurology (C.F.), David Geffen School of Medicine at UCLA, Los Angeles, CA; Department of Neurology (C.G.), University of Maryland Medical Center, Baltimore; Palmetto Health USC Neurosurgery/Neurocritical Care (R.O.L.), Columbia, SC; Department of Neurology (E.M.-L.), University of Miami Miller School of Medicine, FL; Department of Neurology (N.I.M.), Massachusetts General Hospital, Harvard Medical School, Boston; Department of Neurology (R.T.), Stanford University School of Medicine, CA; and Department of Neurology (R.H.H.), University of Pennsylvania, Philadelphia
| | - Charles Flippen
- From the Department of Neurology (N.A.M.), University of Rochester Medical Center, NY; Department of Neurology (A.R.S.), Duke University Medical Center, Durham, NC; Department of Neurology (I.M.E.), University of Kentucky College of Medicine, Lexington; Department of Neurology (C.F.), David Geffen School of Medicine at UCLA, Los Angeles, CA; Department of Neurology (C.G.), University of Maryland Medical Center, Baltimore; Palmetto Health USC Neurosurgery/Neurocritical Care (R.O.L.), Columbia, SC; Department of Neurology (E.M.-L.), University of Miami Miller School of Medicine, FL; Department of Neurology (N.I.M.), Massachusetts General Hospital, Harvard Medical School, Boston; Department of Neurology (R.T.), Stanford University School of Medicine, CA; and Department of Neurology (R.H.H.), University of Pennsylvania, Philadelphia
| | - Camilo Gutierrez
- From the Department of Neurology (N.A.M.), University of Rochester Medical Center, NY; Department of Neurology (A.R.S.), Duke University Medical Center, Durham, NC; Department of Neurology (I.M.E.), University of Kentucky College of Medicine, Lexington; Department of Neurology (C.F.), David Geffen School of Medicine at UCLA, Los Angeles, CA; Department of Neurology (C.G.), University of Maryland Medical Center, Baltimore; Palmetto Health USC Neurosurgery/Neurocritical Care (R.O.L.), Columbia, SC; Department of Neurology (E.M.-L.), University of Miami Miller School of Medicine, FL; Department of Neurology (N.I.M.), Massachusetts General Hospital, Harvard Medical School, Boston; Department of Neurology (R.T.), Stanford University School of Medicine, CA; and Department of Neurology (R.H.H.), University of Pennsylvania, Philadelphia
| | - Rodney O Leacock
- From the Department of Neurology (N.A.M.), University of Rochester Medical Center, NY; Department of Neurology (A.R.S.), Duke University Medical Center, Durham, NC; Department of Neurology (I.M.E.), University of Kentucky College of Medicine, Lexington; Department of Neurology (C.F.), David Geffen School of Medicine at UCLA, Los Angeles, CA; Department of Neurology (C.G.), University of Maryland Medical Center, Baltimore; Palmetto Health USC Neurosurgery/Neurocritical Care (R.O.L.), Columbia, SC; Department of Neurology (E.M.-L.), University of Miami Miller School of Medicine, FL; Department of Neurology (N.I.M.), Massachusetts General Hospital, Harvard Medical School, Boston; Department of Neurology (R.T.), Stanford University School of Medicine, CA; and Department of Neurology (R.H.H.), University of Pennsylvania, Philadelphia
| | - Erika Marulanda-Londoño
- From the Department of Neurology (N.A.M.), University of Rochester Medical Center, NY; Department of Neurology (A.R.S.), Duke University Medical Center, Durham, NC; Department of Neurology (I.M.E.), University of Kentucky College of Medicine, Lexington; Department of Neurology (C.F.), David Geffen School of Medicine at UCLA, Los Angeles, CA; Department of Neurology (C.G.), University of Maryland Medical Center, Baltimore; Palmetto Health USC Neurosurgery/Neurocritical Care (R.O.L.), Columbia, SC; Department of Neurology (E.M.-L.), University of Miami Miller School of Medicine, FL; Department of Neurology (N.I.M.), Massachusetts General Hospital, Harvard Medical School, Boston; Department of Neurology (R.T.), Stanford University School of Medicine, CA; and Department of Neurology (R.H.H.), University of Pennsylvania, Philadelphia
| | - Nicte I Mejia
- From the Department of Neurology (N.A.M.), University of Rochester Medical Center, NY; Department of Neurology (A.R.S.), Duke University Medical Center, Durham, NC; Department of Neurology (I.M.E.), University of Kentucky College of Medicine, Lexington; Department of Neurology (C.F.), David Geffen School of Medicine at UCLA, Los Angeles, CA; Department of Neurology (C.G.), University of Maryland Medical Center, Baltimore; Palmetto Health USC Neurosurgery/Neurocritical Care (R.O.L.), Columbia, SC; Department of Neurology (E.M.-L.), University of Miami Miller School of Medicine, FL; Department of Neurology (N.I.M.), Massachusetts General Hospital, Harvard Medical School, Boston; Department of Neurology (R.T.), Stanford University School of Medicine, CA; and Department of Neurology (R.H.H.), University of Pennsylvania, Philadelphia
| | - Reena Thomas
- From the Department of Neurology (N.A.M.), University of Rochester Medical Center, NY; Department of Neurology (A.R.S.), Duke University Medical Center, Durham, NC; Department of Neurology (I.M.E.), University of Kentucky College of Medicine, Lexington; Department of Neurology (C.F.), David Geffen School of Medicine at UCLA, Los Angeles, CA; Department of Neurology (C.G.), University of Maryland Medical Center, Baltimore; Palmetto Health USC Neurosurgery/Neurocritical Care (R.O.L.), Columbia, SC; Department of Neurology (E.M.-L.), University of Miami Miller School of Medicine, FL; Department of Neurology (N.I.M.), Massachusetts General Hospital, Harvard Medical School, Boston; Department of Neurology (R.T.), Stanford University School of Medicine, CA; and Department of Neurology (R.H.H.), University of Pennsylvania, Philadelphia
| | - Roy H Hamilton
- From the Department of Neurology (N.A.M.), University of Rochester Medical Center, NY; Department of Neurology (A.R.S.), Duke University Medical Center, Durham, NC; Department of Neurology (I.M.E.), University of Kentucky College of Medicine, Lexington; Department of Neurology (C.F.), David Geffen School of Medicine at UCLA, Los Angeles, CA; Department of Neurology (C.G.), University of Maryland Medical Center, Baltimore; Palmetto Health USC Neurosurgery/Neurocritical Care (R.O.L.), Columbia, SC; Department of Neurology (E.M.-L.), University of Miami Miller School of Medicine, FL; Department of Neurology (N.I.M.), Massachusetts General Hospital, Harvard Medical School, Boston; Department of Neurology (R.T.), Stanford University School of Medicine, CA; and Department of Neurology (R.H.H.), University of Pennsylvania, Philadelphia
| |
Collapse
|
28
|
Shah-Basak P, Harvey DY, Parchure S, Faseyitan O, Sacchetti D, Ahmed A, Thiam A, Lohoff FW, Hamilton RH. Brain-Derived Neurotrophic Factor Polymorphism Influences Response to Single-Pulse Transcranial Magnetic Stimulation at Rest. Neuromodulation 2020; 24:S1094-7159(21)06197-3. [PMID: 33090650 PMCID: PMC8032803 DOI: 10.1111/ner.13287] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 08/30/2020] [Accepted: 09/02/2020] [Indexed: 12/01/2022]
Abstract
OBJECTIVES The ability of noninvasive brain stimulation to modulate corticospinal excitability and plasticity is influenced by genetic predilections such as the coding for brain-derived neurotrophic factor (BDNF). Otherwise healthy individuals presenting with BDNF Val66Met (Val/Met) polymorphism are less susceptible to changes in excitability in response to repetitive transcranial magnetic stimulation (TMS) and paired associative stimulation paradigms, reflecting reduced neuroplasticity, compared to Val homozygotes (Val/Val). In the current study, we investigated whether BDNF polymorphism influences "baseline" excitability under TMS conditions that are not repetitive or plasticity-inducing. Cross-sectional BDNF levels could predict TMS response more generally because of the ongoing plasticity processes. MATERIALS AND METHODS Forty-five healthy individuals (23 females; age: 25.3 ± 7.0 years) participated in the study, comprising two groups. Motor evoked potentials (MEP) were collected using single-pulse TMS paradigms at fixed stimulation intensities at 110% of the resting motor threshold in one group, and individually-derived intensities based on MEP sizes of 1 mV in the second group. Functional variant Val66Met (rs6265) was genotyped from saliva samples by a technician blinded to the identity of DNA samples. RESULTS Twenty-seven participants (60.0%) were identified with Val/Val, sixteen (35.5%) with Val/Met genotype, and two with Met/Met genotype. MEP amplitudes were significantly diminished in the Val/Met than Val/Val individuals. These results held independent of the single-pulse TMS paradigm of choice (p = 0.017110% group; p = 0.035 1 mV group), age, and scalp-to-coil distances. CONCLUSIONS The findings should be further substantiated in larger-scale studies. If validated, intrinsic differences by BDNF polymorphism status could index response to TMS prior to implementing plasticity-inducing protocols.
Collapse
Affiliation(s)
- Priyanka Shah-Basak
- Department of Neurology, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, PA 19104
| | - Denise Y. Harvey
- Department of Neurology, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, PA 19104
- Research Department, Moss Rehabilitation Research Institute, 50 Township Line Road, Elkins Park, PA 19027
| | - Shreya Parchure
- Department of Neurology, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, PA 19104
| | - Olufunsho Faseyitan
- Department of Neurology, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, PA 19104
| | - Daniela Sacchetti
- Department of Neurology, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, PA 19104
| | - Ahmed Ahmed
- Department of Neurology, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, PA 19104
| | - Abdou Thiam
- Department of Neurology, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, PA 19104
| | - Falk W. Lohoff
- National Institute for Alcohol Abuse and Alcoholism, National Institutes of Health (NIH), 10 Center Drive (10CRC/2-2352), Bethesda, MD 20892-1540
| | - Roy H. Hamilton
- Department of Neurology, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, PA 19104
| |
Collapse
|
29
|
Nissim NR, Moberg PJ, Hamilton RH. Efficacy of Noninvasive Brain Stimulation (tDCS or TMS) Paired with Language Therapy in the Treatment of Primary Progressive Aphasia: An Exploratory Meta-Analysis. Brain Sci 2020; 10:E597. [PMID: 32872344 PMCID: PMC7563447 DOI: 10.3390/brainsci10090597] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 08/21/2020] [Accepted: 08/25/2020] [Indexed: 12/12/2022] Open
Abstract
Noninvasive brain stimulation techniques, such as transcranial direct current stimulation (tDCS) and transcranial magnetic stimulation (TMS), paired with behavioral language therapy, have demonstrated the capacity to enhance language abilities in primary progressive aphasia (PPA), a debilitating degenerative neurological syndrome that leads to declines in communication abilities. The aim of this meta-analysis is to systematically evaluate the efficacy of tDCS and TMS in improving language outcomes in PPA, explore the magnitude of effects between stimulation modalities, and examine potential moderators that may influence treatment effects. Standard mean differences for change in performance from baseline to post-stimulation on language-related tasks were evaluated. Six tDCS studies and two repetitive TMS studies met inclusion criteria and provided 22 effects in the analysis. Random effect models revealed a significant, heterogeneous, and moderate effect size for tDCS and TMS in the enhancement of language outcomes. Findings demonstrate that naming ability significantly improves due to brain stimulation, an effect found to be largely driven by tDCS. Future randomized controlled trials are needed to determine long-term effectiveness of noninvasive brain stimulation techniques on language abilities, further delineate the efficacy of tDCS and TMS, and identify optimal parameters to enable the greatest gains for persons with PPA.
Collapse
Affiliation(s)
- Nicole R. Nissim
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA;
- Moss Rehabilitation Research Institute, Elkins Park, PA 19027, USA
| | - Paul J. Moberg
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA;
- Department of Otorhinolaryngology: Head & Neck Surgery, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Roy H. Hamilton
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA;
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| |
Collapse
|
30
|
Abstract
This case series describes outcomes for 5 patients with VT storm refractory to drug therapy treated with left stellate ganglion transcutaneous magnetic stimulation (TCMS) to reduce cardiac sympathetic input.
Collapse
Affiliation(s)
- Timothy M. Markman
- Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia
| | - Roy H. Hamilton
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia
| | | | - Saman Nazarian
- Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia
| |
Collapse
|
31
|
Hinson HE, Hamilton RH, Matchar DB. Making public and patient involvement in clinical trials more than aspirational. Neurol Clin Pract 2020; 10:188-189. [PMID: 32644057 PMCID: PMC7292565 DOI: 10.1212/cpj.0000000000000786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Holly E Hinson
- Oregon Health Sciences (HEH); University of Pennsylvania (RHH); and Duke University (DBM)
| | - Roy H Hamilton
- Oregon Health Sciences (HEH); University of Pennsylvania (RHH); and Duke University (DBM)
| | - David B Matchar
- Oregon Health Sciences (HEH); University of Pennsylvania (RHH); and Duke University (DBM)
| |
Collapse
|
32
|
Medaglia JD, Kuersten A, Hamilton RH. Protecting Decision-Making in the Era of Neuromodulation. J Cogn Enhanc 2020. [DOI: 10.1007/s41465-020-00171-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
|
33
|
Hamilton RH, Hinson HE. Introducing the Associate Editors for Equity, Diversity, and Inclusion: Aligning editorial leadership with core values in Neurology®. Neurology 2019; 93:651-652. [PMID: 31511350 DOI: 10.1212/wnl.0000000000008235] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 08/08/2019] [Indexed: 11/15/2022] Open
Affiliation(s)
- Roy H Hamilton
- From the Department of Neurology (R.H.H.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Departments of Neurology and Emergency Medicine (H.E.H.), Oregon Health & Science University, Portland
| | - Holly E Hinson
- From the Department of Neurology (R.H.H.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; and Departments of Neurology and Emergency Medicine (H.E.H.), Oregon Health & Science University, Portland.
| |
Collapse
|
34
|
Deik A, Moawad H, Hamilton RH. Neurologists' preparedness to treat sexual and gender minorities. Neurology 2019; 93:143-144. [DOI: 10.1212/wnl.0000000000007847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
|
35
|
Petrovsky DV, Johnson JK, Tkacs N, Mechanic-Hamilton D, Hamilton RH, Cacchione PZ. Musical and Cognitive Abilities in Older Adults with Mild Cognitive Impairment. Psychol Music 2019; 2019:10.1177/0305735619843993. [PMID: 32863538 PMCID: PMC7451010 DOI: 10.1177/0305735619843993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
The objective of this cross-sectional study was to determine the extent and nature of self-reported musical abilities in persons with mild cognitive impairment (MCI). We recruited 60 older adults with a diagnosis of MCI from the Alzheimer's disease Core Center. We evaluated self-reported musical abilities using the Goldsmiths General Musical Sophistication Index. We examined correlations between musical abilities and neuropsychological measures of verbal learning and memory, processing speed, executive function, verbal fluency, naming and visuoconstructive abilities, while controlling for key demographic and participant characteristics. Older adults with MCI reported varying degrees of musical abilities. Nearly half of participants reported that they did not engage in regular, daily practice of a musical instrument. When adjusting for key demographic and participant characteristics, we found modest associations between four musical ability subfactors (active engagement, perceptual abilities, musical training and emotional engagement with music) with three cognitive abilities: verbal fluency, executive function and verbal naming. Except for the emotional engagement with music subfactor, none of the remaining musical ability subfactors correlated with any demographic or participant characteristics. While our study findings provided further support for the relationship between musical and cognitive abilities in older adults with MCI, this relationship warrants further investigation.
Collapse
Affiliation(s)
- Darina V Petrovsky
- University of Pennsylvania School of Nursing, 418 Curie Blvd., Philadelphia, Pennsylvania, USA 19104-4217
| | - Julene K Johnson
- University of California at San Francisco School of Nursing, UCSF Institute for Health & Aging, 3333 California Street, San Francisco, California 94118
| | - Nancy Tkacs
- University of Southern California, 209 Stonehouse Lane, Wyncote, Pennsylvania 19095
| | - Dawn Mechanic-Hamilton
- University of Pennsylvania Perelman School of Medicine, Perelman Center for Advanced Medicine, 2 South, 3400 Civic Center Boulevard, Philadelphia, Pennsylvania 19104
| | - Roy H Hamilton
- University of Pennsylvania Perelman School of Medicine, Goddard Laboratories, Room 518, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, Pennsylvania 19104
| | - Pamela Z Cacchione
- University of Pennsylvania School of Nursing, Room 410 Fagin Hall, 418 Curie Blvd., Philadelphia, Pennsylvania, USA 19104-4217
| |
Collapse
|
36
|
Hamilton RH, McClean JC, Greicius MD, Gamaldo CE, Burrus TM, Charleston L, Correa DJ, Ebong IM, Hamilton R, Lewis S, Thomas RP, Vargas A, Flippen CC. Rooting out racial stereotypes in Neurology®. Neurology 2019; 92:1029-1032. [DOI: 10.1212/wnl.0000000000007578] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 03/28/2019] [Indexed: 11/15/2022] Open
|
37
|
Harvey DY, Mass JA, Shah-Basak PP, Wurzman R, Faseyitan O, Sacchetti DL, DeLoretta L, Hamilton RH. Continuous theta burst stimulation over right pars triangularis facilitates naming abilities in chronic post-stroke aphasia by enhancing phonological access. Brain Lang 2019; 192:25-34. [PMID: 30870740 PMCID: PMC6503859 DOI: 10.1016/j.bandl.2019.02.005] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 02/26/2019] [Accepted: 02/26/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Repetitive transcranial magnetic stimulation (rTMS) has been used experimentally to facilitate naming abilities in individuals with chronic post-stroke aphasia. However, little is known about how rTMS confers clinical improvement, hampering its therapeutic value. The present study investigated the characteristics of naming failure that improve following administration of continuous theta burst stimulation (cTBS)-an inhibitory form of rTMS-to the right pars triangularis (rPTr) in persons with chronic aphasia. METHODS Eleven participants with chronic aphasia following left hemisphere stroke named pictures prior to and immediately following cTBS of the rPTr and a control site (vertex) in separate sessions. Prior to stimulation, we obtained two baseline measurements of picture naming ability to determine the extent and type (i.e., phonological vs. semantic) of naming impairment. Items presented for naming during stimulation were those that were named incorrectly in one or both of the baseline sessions (i.e., inconsistent vs. wrong items, respectively). Analyses assessed whether cTBS effects differed depending on the severity and/or type of naming impairment. RESULTS Relative to vertex, cTBS of the rPTr improved naming of inconsistent, but not wrong, items for individuals with more severe baseline naming impairment. Critically, baseline phonological but not semantic naming impairment severity marginally correlated with improved accuracy overall, and significantly correlated with decreased phonological errors following rPTr stimulation. CONCLUSION CTBS of the rPTr enhances naming by facilitating phonological access during word retrieval, indicating that individuals whose naming impairment is localized to this stage of processing may be most likely to benefit from this rTMS approach.
Collapse
Affiliation(s)
- Denise Y Harvey
- Department of Neurology, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, PA 19104, USA; Research Department, Moss Rehabilitation Research Institute, 50 Township Line Road, Elkins Park, PA 19027, USA
| | - Joely A Mass
- Department of Neurology, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, PA 19104, USA
| | - Priyanka P Shah-Basak
- Department of Neurology, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, PA 19104, USA
| | - Rachel Wurzman
- Department of Neurology, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, PA 19104, USA
| | - Olufunsho Faseyitan
- Department of Neurology, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, PA 19104, USA
| | - Daniela L Sacchetti
- Department of Neurology, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, PA 19104, USA
| | - Laura DeLoretta
- Department of Neurology, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, PA 19104, USA
| | - Roy H Hamilton
- Department of Neurology, University of Pennsylvania, 3710 Hamilton Walk, Philadelphia, PA 19104, USA.
| |
Collapse
|
38
|
Choy O, DeLoretta L, Raine A, Hamilton RH. Abstract #146: Stimulation of the Prefrontal Cortex Reduces Intentions to Commit Aggression: A Randomized Clinical Trial. Brain Stimul 2019. [DOI: 10.1016/j.brs.2018.12.153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
|
39
|
Coughlin D, Xie SX, Liang M, Williams A, Peterson C, Weintraub D, McMillan CT, Wolk DA, Akhtar RS, Hurtig HI, Branch Coslett H, Hamilton RH, Siderowf AD, Duda JE, Rascovsky K, Lee EB, Lee VMY, Grossman M, Trojanowski JQ, Irwin DJ. Cognitive and Pathological Influences of Tau Pathology in Lewy Body Disorders. Ann Neurol 2019; 85:259-271. [PMID: 30549331 DOI: 10.1002/ana.25392] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 12/04/2018] [Accepted: 12/05/2018] [Indexed: 01/04/2023]
Abstract
OBJECTIVE To use digital histology in a large autopsy cohort of Lewy body disorder (LBD) patients with dementia to test the hypotheses that co-occurring Alzheimer disease (AD) pathology impacts the anatomic distribution of α-synuclein (SYN) pathology and that co-occurring neocortical tau pathology in LBDs associates with worse cognitive performance and occurs in a pattern differing from AD. METHODS Fifty-five autopsy-confirmed LBD (Parkinson disease with dementia, n = 36; dementia with Lewy bodies, n = 19) patients and 25 AD patients were studied. LBD patients were categorized as having moderate/severe AD copathology (SYN + AD = 20) or little/no AD copathology (SYN-AD = 35). Digital measures of tau, β-amyloid (Aβ), and SYN histopathology in neocortical and subcortical/limbic regions were compared between groups and related to antemortem cognitive testing. RESULTS SYN burden was higher in SYN + AD than SYN-AD in each neocortical region (F1, 54 = 5.6-6.0, p < 0.02) but was equivalent in entorhinal cortex and putamen (F1, 43-49 = 0.7-1.7, p > 0.2). SYN + AD performed worse than SYN-AD on a temporal lobe-mediated naming task (t27 = 2.1, p = 0.04). Antemortem cognitive test scores inversely correlated with tau burden (r = -0.39 to -0.68, p < 0.05). AD had higher tau than SYN + AD in all regions (F1, 43 = 12.8-97.2, p < 0.001); however, SYN + AD had a greater proportion of tau in the temporal neocortex than AD (t41 = 2.0, p < 0.05), whereas AD had a greater proportion of tau in the frontal neocortex than SYN + AD (t41 = 3.3, p < 0.002). SYN + AD had similar severity and distribution of neocortical Aβ compared to AD (F1, 40-43 = 1.6-2.0, p > 0.1). INTERPRETATION LBD patients with AD copathology harbor greater neocortical SYN pathology. Regional tau pathology relates to cognitive performance in LBD dementia, and its distribution may diverge from pure AD. Tau copathology contributes uniquely to the heterogeneity of cognitive impairment in LBD. Ann Neurol 2018; 1-13 ANN NEUROL 2019;85:259-271.
Collapse
Affiliation(s)
- David Coughlin
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania.,Frontotemporal Dementia Center, Perelman School of Medicine at the University of Pennsylvania.,Parkinson's Disease and Movement Disorders Center, Perelman School of Medicine at the University of Pennsylvania
| | - Sharon X Xie
- Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania.,Department of Biostatistics, Epidemiology and Informatics Perelman School of Medicine at the University of Pennsylvania
| | - Mendy Liang
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania
| | - Andrew Williams
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania
| | - Claire Peterson
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania
| | - Daniel Weintraub
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Parkinson's Disease and Movement Disorders Center, Perelman School of Medicine at the University of Pennsylvania.,Michael J. Crescenz VA Medical Center, Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA, USA 19104
| | - Corey T McMillan
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Frontotemporal Dementia Center, Perelman School of Medicine at the University of Pennsylvania
| | - David A Wolk
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania
| | - Rizwan S Akhtar
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Parkinson's Disease and Movement Disorders Center, Perelman School of Medicine at the University of Pennsylvania
| | - Howard I Hurtig
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Parkinson's Disease and Movement Disorders Center, Perelman School of Medicine at the University of Pennsylvania
| | - H Branch Coslett
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Center for Cognitive Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Roy H Hamilton
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Center for Cognitive Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Andrew D Siderowf
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Parkinson's Disease and Movement Disorders Center, Perelman School of Medicine at the University of Pennsylvania
| | - John E Duda
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Michael J. Crescenz VA Medical Center, Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA, USA 19104
| | - Katya Rascovsky
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Frontotemporal Dementia Center, Perelman School of Medicine at the University of Pennsylvania
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania.,Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania.,Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania
| | - Virginia M-Y Lee
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania.,Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania.,Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania
| | - Murray Grossman
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Frontotemporal Dementia Center, Perelman School of Medicine at the University of Pennsylvania
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania.,Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania.,Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania
| | - David J Irwin
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania.,Frontotemporal Dementia Center, Perelman School of Medicine at the University of Pennsylvania
| |
Collapse
|
40
|
Leclerc MP, Regenbogen C, Hamilton RH, Habel U. Some neuroanatomical insights to impulsive aggression in schizophrenia. Schizophr Res 2018; 201:27-34. [PMID: 29908715 DOI: 10.1016/j.schres.2018.06.016] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Revised: 04/04/2018] [Accepted: 06/09/2018] [Indexed: 10/14/2022]
Abstract
Patients with schizophrenia are at increased risk of engaging in violence towards others, compared to both the general population and most other patient groups. We have here explored the role of cortico-limbic impairments in schizophrenia, and have considered these brain regions specifically within the framework of a popular neuroanatomical model of impulsive aggression. In line with this model, evidence in patients with aggressive schizophrenia implicated structural deficits associated with impaired decision-making, emotional control and evaluation, and social information processing, especially in the orbitofrontal and ventrolateral prefrontal cortex. Given the pivotal role of the orbitofrontal and ventrolateral cortex in emotion control and evaluation, structural deficits may result in inappropriate use of socially relevant information and improper recognition of impulses that are in need for regulation. Furthermore, we have extended the original model and incorporated the striatum, important for the generation of aggressive impulses, as well as the hippocampus, a region critical for decision-making, into the model. Lastly, we discuss the question whether structural impairments are specific to aggressive schizophrenia. Our results suggest, that similar findings can be observed in other aggressive patient populations, making the observed impairments non-specific to aggressive schizophrenia. This points towards a shared condition, across pathologies, a potential common denominator being impulsive aggression.
Collapse
Affiliation(s)
- Marcel P Leclerc
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Germany; JARA - BRAIN Institute 1: Structure Function Relationship, Jülich, Germany.
| | - Christina Regenbogen
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Germany; JARA - BRAIN Institute 1: Structure Function Relationship, Jülich, Germany; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Roy H Hamilton
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Ute Habel
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Germany; JARA - BRAIN Institute 1: Structure Function Relationship, Jülich, Germany
| |
Collapse
|
41
|
Petrovsky DV, Johnson JK, Tkacs N, Mechanic-Hamilton D, Hamilton RH, Cacchione PZ. HIPPOCAMPAL VOLUME, MUSICAL AND COGNITIVE ABILITIES IN OLDER ADULTS WITH MILD COGNITIVE IMPAIRMENT. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.1239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- D V Petrovsky
- New York University, New York, New York,United States
| | - J K Johnson
- University of California at San Francisco, Institute for Health & Aging, School of Nursing, San Francisco, CA, USA
| | - N Tkacs
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA
| | - D Mechanic-Hamilton
- Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - R H Hamilton
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - P Z Cacchione
- University of Pennsylvania, School of Nursing, Philadelphia, PA, USA
| |
Collapse
|
42
|
Wurzman R, Hamilton RH, Pascual-Leone A, Fox MD. An open letter concerning do-it-yourself users of transcranial direct current stimulation. Ann Neurol 2018; 80:1-4. [PMID: 27216434 DOI: 10.1002/ana.24689] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Revised: 05/16/2016] [Accepted: 05/16/2016] [Indexed: 02/02/2023]
Affiliation(s)
- Rachel Wurzman
- Department of Neurology, University of Pennsylvania, Philadelphia, PA
| | - Roy H Hamilton
- Department of Neurology and Physical Medicine & Rehabilitation, University of Pennsylvania, Philadelphia, PA
| | | | - Michael D Fox
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA.,Department of Neurology, Massachusetts General Hospital, Boston, MA.,Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA
| |
Collapse
|
43
|
Vickers KL, Keesler ME, Williams KS, Charles JY, Hamilton RH. The telephone effect: Overcoming initiation deficits in two settings. Rehabil Psychol 2018; 63:215-220. [PMID: 29672075 DOI: 10.1037/rep0000173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
PURPOSE Disorders of motivation substantially impair an individual's ability to communicate with their families, therapists, and doctors. One method of overcoming initiation deficits is by utilizing the telephone effect, which is the ability for individuals with severe motivation deficits to communicate more readily when speaking on a telephone. However, little is available in the extant literature on how this effect works or how best to integrate this into patient care. This article aims to provide the first report of a proposed mechanism underlying the telephone effect and the first published procedures for eliciting this effect. DESIGN This is largely a review article that also contains descriptions of clinical procedures for eliciting the telephone effect with 2 patient populations: acute inpatients following brain injury and dementia residents. A case vignette is also provided. RESULTS We propose that the telephone effect is the result of an interaction between the patient and environment, and occurs because of Gibson's (1979) law of affordances. The use of this theory provides an explanation of the behaviors often observed when attempting to elicit this effect (i.e., disruption of the effect when using a cellular phone). Moreover, we argue that this can, and does, apply to social interactions as well. CONCLUSIONS/IMPLICATIONS The telephone effect is an understudied phenomenon that provides a means of improving care for individuals with disorders of motivation. Future directions include systematic research into the telephone effect and further investigation of the mechanism underlying this effect. (PsycINFO Database Record
Collapse
Affiliation(s)
| | | | - Kelli S Williams
- Department of Physical Medicine and Rehabilitation, University of Pennsylvania
| | - Jeremy Y Charles
- Department of Physical Medicine and Rehabilitation, University of Pennsylvania
| | - Roy H Hamilton
- Department of Physical Medicine and Rehabilitation, University of Pennsylvania
| |
Collapse
|
44
|
Shah-Basak PP, Chen P, Caulfield K, Medina J, Hamilton RH. The role of the right superior temporal gyrus in stimulus-centered spatial processing. Neuropsychologia 2018; 113:6-13. [PMID: 29578025 DOI: 10.1016/j.neuropsychologia.2018.03.027] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Revised: 03/15/2018] [Accepted: 03/21/2018] [Indexed: 10/17/2022]
Abstract
Although emerging neuropsychological evidence supports the involvement of temporal areas, and in particular the right superior temporal gyrus (STG), in allocentric neglect deficits, the role of STG in healthy spatial processing remains elusive. While several functional brain imaging studies have demonstrated involvement of the STG in tasks involving explicit stimulus-centered judgments, prior rTMS studies targeting the right STG did not find the expected neglect-like rightward bias in size judgments using the conventional landmark task. The objective of the current study was to investigate whether disruption of the right STG using inhibitory repetitive transcranial magnetic stimulation (rTMS) could impact stimulus-centered, allocentric spatial processing in healthy individuals. A lateralized version of the landmark task was developed to accentuate the dissociation between viewer-centered and stimulus-centered reference frames. We predicted that inhibiting activity in the right STG would decrease accuracy because of induced rightward bias centered on the line stimulus irrespective of its viewer-centered or egocentric locations. Eleven healthy, right-handed adults underwent the lateralized landmark task. After viewing each stimulus, participants had to judge whether the line was bisected, or whether the left (left-long trials) or the right segment (right-long trials) of the line was longer. Participants repeated the task before (pre-rTMS) and after (post-rTMS) receiving 20 min of 1 Hz rTMS over the right STG, the right supramarginal gyrus (SMG), and the vertex (a control site) during three separate visits. Linear mixed models for binomial data were generated with either accuracy or judgment errors as dependent variables, to compare 1) performance across trial types (bisection, non-bisection), and 2) pre- vs. post-rTMS performance between the vertex and the STG and the vertex and the SMG. Line eccentricity (z = 4.31, p < 0.0001) and line bisection (z = 5.49, p < 0.0001) were significant predictors of accuracy. In the models comparing the effects of rTMS, a significant two-way interaction with STG (z = -3.09, p = 0.002) revealed a decrease in accuracy of 9.5% and an increase in errors of the right-long type by 10.7% on bisection trials, in both left and right viewer-centered locations. No significant changes in leftward errors were found. These findings suggested an induced stimulus-centered rightward bias in our participants after STG stimulation. Notably, accuracy or errors were not influenced by SMG stimulation compared to vertex. In line with our predictions, the findings provide compelling evidence for right STG's involvement in healthy stimulus-centered spatial processing.
Collapse
Affiliation(s)
- Priyanka P Shah-Basak
- Laboratory for Cognition and Neural Stimulation, University of Pennsylvania, Philadelphia, PA, USA
| | - Peii Chen
- Kessler Foundation, West Orange, NJ, USA; Department of Physical Medicine and Rehabilitation, Rutgers University, Newark, NJ, USA
| | - Kevin Caulfield
- Laboratory for Cognition and Neural Stimulation, University of Pennsylvania, Philadelphia, PA, USA
| | - Jared Medina
- Department of Psychology, University of Delaware, Newark, DE, USA
| | - Roy H Hamilton
- Laboratory for Cognition and Neural Stimulation, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
| |
Collapse
|
45
|
Julian JB, Ryan J, Hamilton RH, Epstein RA. The Occipital Place Area Is Causally Involved in Representing Environmental Boundaries during Navigation. Curr Biol 2018; 26:1104-9. [PMID: 27020742 DOI: 10.1016/j.cub.2016.02.066] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2016] [Revised: 02/24/2016] [Accepted: 02/26/2016] [Indexed: 10/21/2022]
Abstract
Thirty years of research suggests that environmental boundaries-e.g., the walls of an experimental chamber or room-exert powerful influence on navigational behavior, often to the exclusion of other cues [1-9]. Consistent with this behavioral work, neurons in brain structures that instantiate spatial memory often exhibit firing fields that are strongly controlled by environmental boundaries [10-15]. Despite the clear importance of environmental boundaries for spatial coding, however, a brain region that mediates the perception of boundary information has not yet been identified. We hypothesized that the occipital place area (OPA), a scene-selective region located near the transverse occipital sulcus [16], might provide this perceptual source by extracting boundary information from visual scenes during navigation. To test this idea, we used transcranial magnetic stimulation (TMS) to interrupt processing in the OPA while subjects performed a virtual-reality memory task that required them to learn the spatial locations of test objects that were either fixed in place relative to the boundary of the environment or moved in tandem with a landmark object. Consistent with our prediction, we found that TMS to the right OPA impaired spatial memory for boundary-tethered, but not landmark-tethered, objects. Moreover, this effect was found when the boundary was defined by a wall, but not when it was defined by a marking on the ground. These results show that the OPA is causally involved in boundary-based spatial navigation and suggest that the OPA is the perceptual source of the boundary information that controls navigational behavior.
Collapse
Affiliation(s)
- Joshua B Julian
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Jack Ryan
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Roy H Hamilton
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Russell A Epstein
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA
| |
Collapse
|
46
|
Bikson M, Grossman P, Zannou AL, Kronberg G, Truong D, Boggio P, Brunoni AR, Charvet L, Fregni F, Fritsch B, Gillick B, Hamilton RH, Hampstead BM, Kirton A, Knotkova H, Liebetanz D, Liu A, Loo C, Nitsche MA, Reis J, Richardson JD, Rotenberg A, Turkeltaub PE, Woods AJ. Response to letter to the editor: Safety of transcranial direct current stimulation: Evidence based update 2016. Brain Stimul 2017; 10:986-987. [PMID: 28734680 DOI: 10.1016/j.brs.2017.06.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Accepted: 06/29/2017] [Indexed: 10/19/2022] Open
Affiliation(s)
- Marom Bikson
- Department of Biomedical Engineering, The City College of New York, New York, NY, USA.
| | - Pnina Grossman
- Department of Biomedical Engineering, The City College of New York, New York, NY, USA
| | | | - Greg Kronberg
- Department of Biomedical Engineering, The City College of New York, New York, NY, USA
| | - Dennis Truong
- Department of Biomedical Engineering, The City College of New York, New York, NY, USA
| | - Paulo Boggio
- Cognitive Neuroscience Laboratory and Developmental Disorders Program, Center for Health and Biological Sciences, Mackenzie Presbyterian University, Sao Paulo, Brazil
| | - Andre R Brunoni
- Service of Interdisciplinary Neuromodulation, Department and Institute of Psychiatry, Laboratory of Neurosciences (LIM-27), University of São Paulo, São Paulo, Brazil
| | - Leigh Charvet
- NYU MS Comprehensive Care Center, Department of Neurology, New York University School of Medicine, New York, NY, USA
| | - Felipe Fregni
- Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Brita Fritsch
- Department of Neurology, University Medical Center, Freiburg, Germany; BrainLinks-BrainTools Cluster of Excellence, University of Freiburg, Germany
| | - Bernadette Gillick
- Department of Physical Medicine and Rehabilitation, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Roy H Hamilton
- Laboratory for Cognition and Neural Stimulation, University of Pennsylvania, Philadelphia, PA, USA; Center for Cognitive Neuroscience, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Benjamin M Hampstead
- Mental Health Service, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Adam Kirton
- Departments of Pediatrics and Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Helena Knotkova
- MJHS Institute for Innovation in Palliative Care, New York, NY, USA; Department of Social and Family Medicine, Albert Einstein College of Medicine, The Bronx, NY, USA
| | - David Liebetanz
- Department of Clinical Neurophysiology, University Medical Center, Georg-August-University, Goettingen 37075, Germany
| | - Anli Liu
- NYU Comprehensive Epilepsy Center, New York University School of Medicine, New York, NY, USA
| | - Colleen Loo
- Psychiatry, Black Dog Institute, Clinical Academic, St George Hospital, University of New South Wales, Sydney, Australia
| | - Michael A Nitsche
- Department of Clinical Neurophysiology, University Medical Center, Georg-August-University, Goettingen 37075, Germany; Leibniz Research Centre for Working Environment and Human Factors at the TU Dortmund, Dortmund, Germany; Department of Neurology, University Medical Hospital Bergmannsheil, Bochum, Germany
| | - Janine Reis
- Department of Neurology, University Medical Center, Freiburg, Germany; BrainLinks-BrainTools Cluster of Excellence, University of Freiburg, Germany
| | - Jessica D Richardson
- Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Communication Sciences & Disorders, The University of South Carolina, Columbia, SC, USA; Department of Speech and Hearing Sciences, The University of New Mexico, Albuquerque, NM, USA
| | - Alexander Rotenberg
- Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Department of Neurology, Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, MA, USA; Pediatric Neuromodulation Program, Division of Epilepsy and Neurophysiology, Department of Neurology, Children's Hospital Boston, Harvard Medical School, Boston, MA, USA
| | - Peter E Turkeltaub
- Department of Neurology, Georgetown University, Washington, DC, USA; Research Division, MedStar National Rehabilitation Hospital, Washington, DC, USA
| | - Adam J Woods
- Center for Cognitive Aging and Memory, Institute on Aging, Department of Aging and Geriatric Research, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| |
Collapse
|
47
|
McConathey EM, White NC, Gervits F, Ash S, Coslett HB, Grossman M, Hamilton RH. Baseline Performance Predicts tDCS-Mediated Improvements in Language Symptoms in Primary Progressive Aphasia. Front Hum Neurosci 2017; 11:347. [PMID: 28713256 PMCID: PMC5492829 DOI: 10.3389/fnhum.2017.00347] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Accepted: 06/16/2017] [Indexed: 01/12/2023] Open
Abstract
Primary Progressive Aphasia (PPA) is a neurodegenerative condition characterized by insidious irreversible loss of language abilities. Prior studies suggest that transcranial direct current stimulation (tDCS) directed toward language areas of the brain may help to ameliorate symptoms of PPA. In the present sham-controlled study, we examined whether tDCS could be used to enhance language abilities (e.g., picture naming) in individuals with PPA variants primarily characterized by difficulties with speech production (non-fluent and logopenic). Participants were recruited from the Penn Frontotemporal Dementia Center to receive 10 days of both real and sham tDCS (counter-balanced, full-crossover design; participants were naïve to stimulation condition). A battery of language tests was administered at baseline, immediately post-tDCS (real and sham), and 6 weeks and 12 weeks following stimulation. When we accounted for individuals' baseline performance, our analyses demonstrated a stratification of tDCS effects. Individuals who performed worse at baseline showed tDCS-related improvements in global language performance, grammatical comprehension and semantic processing. Individuals who performed better at baseline showed a slight tDCS-related benefit on our speech repetition metric. Real tDCS may improve language performance in some individuals with PPA. Severity of deficits at baseline may be an important factor in predicting which patients will respond positively to language-targeted tDCS therapies. Clinicaltrials.gov ID: NCT02928848.
Collapse
Affiliation(s)
- Eric M McConathey
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of PennsylvaniaPhiladelphia, PA, United States
| | - Nicole C White
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of PennsylvaniaPhiladelphia, PA, United States
| | - Felix Gervits
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of PennsylvaniaPhiladelphia, PA, United States
| | - Sherry Ash
- Penn Frontotemporal Degeneration CenterPhiladelphia, PA, United States
| | - H Branch Coslett
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of PennsylvaniaPhiladelphia, PA, United States.,Neurology, Perelman School of MedicinePhiladelphia, PA, United States
| | - Murray Grossman
- Penn Frontotemporal Degeneration CenterPhiladelphia, PA, United States.,Neurology, Perelman School of MedicinePhiladelphia, PA, United States
| | - Roy H Hamilton
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of PennsylvaniaPhiladelphia, PA, United States.,Neurology, Perelman School of MedicinePhiladelphia, PA, United States
| |
Collapse
|
48
|
Hung J, Bauer A, Grossman M, Hamilton RH, Coslett HB, Reilly J. Semantic Feature Training in Combination with Transcranial Direct Current Stimulation (tDCS) for Progressive Anomia. Front Hum Neurosci 2017; 11:253. [PMID: 28559805 PMCID: PMC5432627 DOI: 10.3389/fnhum.2017.00253] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Accepted: 04/27/2017] [Indexed: 01/08/2023] Open
Abstract
We examined the effectiveness of a 2-week regimen of a semantic feature training in combination with transcranial direct current stimulation (tDCS) for progressive naming impairment associated with primary progressive aphasia (N = 4) or early onset Alzheimer's Disease (N = 1). Patients received a 2-week regimen (10 sessions) of anodal tDCS delivered over the left temporoparietal cortex while completing a language therapy that consisted of repeated naming and semantic feature generation. Therapy targets consisted of familiar people, household items, clothes, foods, places, hygiene implements, and activities. Untrained items from each semantic category provided item level controls. We analyzed naming accuracies at multiple timepoints (i.e., pre-, post-, 6-month follow-up) via a mixed effects logistic regression and individual differences in treatment responsiveness using a series of non-parametric McNemar tests. Patients showed advantages for naming trained over untrained items. These gains were evident immediately post tDCS. Trained items also showed a shallower rate of decline over 6-months relative to untrained items that showed continued progressive decline. Patients tolerated stimulation well, and sustained improvements in naming accuracy suggest that the current intervention approach is viable. Future implementation of a sham control condition will be crucial toward ascertaining whether neurostimulation and behavioral treatment act synergistically or alternatively whether treatment gains are exclusively attributable to either tDCS or the behavioral intervention.
Collapse
Affiliation(s)
- Jinyi Hung
- Eleanor M. Saffran Center for Cognitive Neuroscience, Temple University, PhiladelphiaPA, USA
- Department of Communication Sciences and Disorders, Temple University, PhiladelphiaPA, USA
| | - Ashley Bauer
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, PhiladelphiaPA, USA
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, PhiladelphiaPA, USA
| | - Roy H. Hamilton
- Center for Cognitive Neuroscience, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, PhiladelphiaPA, USA
| | - H. B. Coslett
- Center for Cognitive Neuroscience, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, PhiladelphiaPA, USA
| | - Jamie Reilly
- Eleanor M. Saffran Center for Cognitive Neuroscience, Temple University, PhiladelphiaPA, USA
- Department of Communication Sciences and Disorders, Temple University, PhiladelphiaPA, USA
| |
Collapse
|
49
|
Medaglia JD, Pasqualetti F, Hamilton RH, Thompson-Schill SL, Bassett DS. Brain and cognitive reserve: Translation via network control theory. Neurosci Biobehav Rev 2017; 75:53-64. [PMID: 28104411 PMCID: PMC5359115 DOI: 10.1016/j.neubiorev.2017.01.016] [Citation(s) in RCA: 75] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Revised: 01/10/2017] [Accepted: 01/11/2017] [Indexed: 01/01/2023]
Abstract
Traditional approaches to understanding the brain's resilience to neuropathology have identified neurophysiological variables, often described as brain or cognitive "reserve," associated with better outcomes. However, mechanisms of function and resilience in large-scale brain networks remain poorly understood. Dynamic network theory may provide a basis for substantive advances in understanding functional resilience in the human brain. In this perspective, we describe recent theoretical approaches from network control theory as a framework for investigating network level mechanisms underlying cognitive function and the dynamics of neuroplasticity in the human brain. We describe the theoretical opportunities offered by the application of network control theory at the level of the human connectome to understand cognitive resilience and inform translational intervention.
Collapse
Affiliation(s)
- John Dominic Medaglia
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Fabio Pasqualetti
- Department of Mechanical Engineering, University of California-Riverside, Riverside, CA 92521, United States
| | - Roy H Hamilton
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States
| | | | - Danielle S Bassett
- Department of Bioengineering, University of Pennsylvania, PA 19104, United States; Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, United States.
| |
Collapse
|
50
|
Norise C, Hamilton RH. Non-invasive Brain Stimulation in the Treatment of Post-stroke and Neurodegenerative Aphasia: Parallels, Differences, and Lessons Learned. Front Hum Neurosci 2017; 10:675. [PMID: 28167904 PMCID: PMC5253356 DOI: 10.3389/fnhum.2016.00675] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Accepted: 12/19/2016] [Indexed: 11/22/2022] Open
Abstract
Numerous studies over the span of more than a decade have shown that non-invasive brain stimulation (NIBS) techniques, namely transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS), can facilitate language recovery for patients who have suffered from aphasia due to stroke. While stroke is the most common etiology of aphasia, neurodegenerative causes of language impairment—collectively termed primary progressive aphasia (PPA)—are increasingly being recognized as important clinical phenotypes in dementia. Very limited data now suggest that (NIBS) may have some benefit in treating PPAs. However, before applying the same approaches to patients with PPA as have previously been pursued in patients with post-stroke aphasia, it will be important for investigators to consider key similarities and differences between these aphasia etiologies that is likely to inform successful approaches to stimulation. While both post-stroke aphasia and the PPAs have clear overlaps in their clinical phenomenology, the mechanisms of injury and theorized neuroplastic changes associated with the two etiologies are notably different. Importantly, theories of plasticity in post-stroke aphasia are largely predicated on the notion that regions of the brain that had previously been uninvolved in language processing may take on new compensatory roles. PPAs, however, are characterized by slow distributed degeneration of cellular units within the language system; compensatory recruitment of brain regions to subserve language is not currently understood to be an important aspect of the condition. This review will survey differences in the mechanisms of language representation between the two etiologies of aphasia and evaluate properties that may define and limit the success of different neuromodulation approaches for these two disorders.
Collapse
Affiliation(s)
- Catherine Norise
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania Philadelphia, PA, USA
| | - Roy H Hamilton
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania Philadelphia, PA, USA
| |
Collapse
|