Publications

2019

Luo, Lan, Howard Andrews, Roy N Alcalay, Fernanda Carvalho Poyraz, Amelia K Boehme, Jennifer G Goldman, Tao Xie, et al. (2019) 2019. “Motor Phenotype Classification in Moderate to Advanced PD in BioFIND Study”. Parkinsonism & Related Disorders 65: 178-83. https://doi.org/10.1016/j.parkreldis.2019.06.017.

BACKGROUND: Three motor phenotypes have been described in PD: postural instability and gait difficulty (PIGD) dominant, tremor-dominant (TD), and indeterminate (IND) subtype. These phenotypes have been associated with different cognitive trajectories, motor outcomes, and biomarkers profiles. However, whether motor subtype classifications change with treatment and disease progression is not well established.

METHODS: To evaluate motor subtype ratio changes, we used the chi-square test for the off and on state motor subtypes for 115 PD participants in the BioFIND study and used repeated-measures analyses to evaluate longitudinal changes in 162 PD participants with five-year follow-up in the PPMI study.

RESULTS: PIGD and TD subtypes in moderate to advanced PD participants change with dopaminergic agents. For those who shifted subtypes, improvement in tremor accounted for the transition of 15 (25.4%) TD participants, while the lack of tremor improvement along with minimal changes in PIGD score resulted in changes for eight (19.0%) PIGD individuals. Analyses of PPMI data revealed that all three subgroups had a significant decrease in subtype ratio with disease progression and a significant decline in subtype ratio occurred only in the TD subgroup with dopaminergic agents. The impact of dopaminergic medication effect on subtype shift for each visit was also more notable with disease advancement.

CONCLUSIONS: Motor subtypes are not fixed but change with progression of the disease and with treatment. Improvement in tremor was the main contributor to motor phenotype transitions in the BioFIND cohort. A more stable classification system for subtypes based on underlying biological differences is desirable.

2018

Lonergan, Brady, Eliza Nguyen, Cara Lembo, Carrie Hinchman, Oscar G Morales, Daniel Z Press, Alvaro Pascual-Leone, and Adam P Stern. (2018) 2018. “Patient- and Technician-Oriented Attitudes Toward Transcranial Magnetic Stimulation Devices”. The Journal of Neuropsychiatry and Clinical Neurosciences 30 (3): 242-45. https://doi.org/10.1176/appi.neuropsych.17070146.

Four transcranial magnetic stimulation (TMS) devices are currently approved for use in treatment-resistant depression. The authors present the first data-driven study examining the patient- and technician-experience using three of these distinct devices. A retrospective survey design with both patient and technician arms was utilized. The study population included patients who received TMS for treatment-resistant depression at the Berenson Allen Center for Noninvasive Brain Stimulation for the first time between 2013 and 2016 and technicians who worked in the program from 2009 to 2017. Statistical analysis included t tests and analyses of variance to assess differences between and across the multiple groups, respectively. Patients treated with the NeuroStar device reported greater confidence that the treatment was being performed correctly compared with those treated with the Magstim device. Conversely, with regard to tolerability, patients treated with the Magstim device reported less pain in the last week and less pain on average compared with those treated with the NeuroStar device. On average, technicians reported feeling that both the Magstim and NeuroStar devices were significantly easier to use than the Brainsway Deep TMS H-Coil device. Additionally, they found the former two devices to be more reliable and better tolerated. Furthermore, the technicians reported greater confidence in the Magstim and NeuroStar devices compared with the Brainsway Deep TMS H-Coil device and indicated that they would be more likely to recommend the two former devices to other treatment centers.

Carlozzi, N E, S Schilling, A L Kratz, J S Paulsen, S Frank, and J C Stout. (2018) 2018. “Understanding patient-reported outcome measures in Huntington disease: at what point is cognitive impairment related to poor measurement reliability?”. Quality of Life Research : An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation 27 (10): 2541-55. https://doi.org/10.1007/s11136-018-1912-6.

PURPOSE: Symptom progression in Huntington disease (HD) is associated with cognitive decline which may interfere with the self-report of symptoms. Unfortunately, data to support or refute the psychometric reliability of patient-reported outcomes (PROs) as HD progresses are limited. This is problematic given that PROs are increasingly recognized as important measures of efficacy for new treatments.

METHODS: We examined PRO data from the HDQLIFE Measurement System (Speech Difficulties; Swallowing Difficulties; Chorea) in 509 individuals with premanifest, early-stage, or late-stage HD. Clinician-administered assessments of motor functioning (items from the UHDRS) and standardized objective assessments of cognition (Stroop, Symbol Digit Modalities) were also collected. We examined item bias using differential item functioning (DIF) across HD stage (premanifest, early-, late-) and relative to cognitive performance. We also examined the correlations between self-report and clinician ratings. Regression models that considered total cognitive ability were utilized to determine psychometric reliability of the PROs.

RESULTS: Most PRO items were free from DIF for both staging and cognition. There were modest correlations between PROs and clinician report (ranged from - 0.40 to - 0.60). Modeling analyses indicated that psychometric reliability breaks down with poorer cognition and more progressed disease stage; split-half reliability was compromised (i.e., split-half reliability < 0.80) when scores were < 136 for Chorea, < 109 for Speech Difficulties, and < 179 for Swallowing Difficulties.

CONCLUSIONS: Results indicate that the psychometric reliability of PROs can be compromised as HD symptoms progress and cognition declines. Clinicians should consider PROs in conjunction with other types of assessments when total cognition scores exceed critical thresholds.

2017

Oliveira-Maia, Albino J, Daniel Press, and Alvaro Pascual-Leone. (2017) 2017. “Modulation of Motor Cortex Excitability Predicts Antidepressant Response to Prefrontal Cortex Repetitive Transcranial Magnetic Stimulation”. Brain Stimulation 10 (4): 787-94. https://doi.org/10.1016/j.brs.2017.03.013.

BACKGROUND: Repetitive transcranial magnetic stimulation (rTMS) targeting the left dorsolateral prefrontal cortex (DLPFC) is a treatment option for patients with medication-resistant major depressive disorder (MDD). However, antidepressant response is variable and there are currently no response predictors with sufficient accuracy for clinical use.

OBJECTIVE: We report on results of an observational open-label study to determine whether the modulatory effect of 10 Hz motor cortex (MC) rTMS is predictive of the antidepressant effect of 10 Hz DLPFC rTMS.

METHODS: Fifty-one medication-resistant MDD patients were enrolled for a 10-day treatment course of DLPFC rTMS and antidepressant response was assessed according to post-treatment reduction of the 17-item Hamilton Rating Scale for Depression score. Prior to treatment, we assessed the modulation of motor evoked potential (MEP) amplitude by MC rTMS. MEP's were induced with single TMS pulses and measured using surface electromyography. MEP modulation was calculated as the change of mean MEP amplitude after MC rTMS.

RESULTS: MEP modulation proved to be a robust predictor of reduction of clinician-rated depression severity following the course of DLPFC rTMS: larger MC rTMS-induced increase of corticospinal excitability anticipated a better antidepressant response. This was found both in univariate analyses (Spearman regression: rho = 0.43, p < 0.005) and a multivariable linear regression model (β = 0.25, p < 0.0001) controlling for baseline depression severity, age and resting motor threshold.

CONCLUSIONS: These findings suggest that MC rTMS-induced modulation of corticospinal excitability warrants further evaluation as a potential predictive biomarker of antidepressant response to left DLPFC 10 Hz rTMS.