Addie Peretz

All Publications

• Exploring Natural Clusters of Chronic Migraine Phenotypes: A Cross-Sectional Clinical Study. Scientific reports Woldeamanuel, Y. W., Sanjanwala, B. M., Peretz, A. M., Cowan, R. P. 2020; 10 (1): 2804

  Abstract

  Heterogeneity in chronic migraine (CM) presents significant challenge for diagnosis, management, and clinical trials. To explore naturally occurring clusters of CM, we utilized data reduction methods on migraine-related clinical dataset. Hierarchical agglomerative clustering and principal component analyses (PCA) were conducted to identify natural clusters in 100 CM patients using 14 migraine-related clinical variables. Three major clusters were identified. Cluster I (29 patients) - the severely impacted patient featured highest levels of depression and migraine-related disability. Cluster II (28 patients) - the minimally impacted patient exhibited highest levels of self-efficacy and exercise. Cluster III (43 patients) - the moderately impacted patient showed features ranging between Cluster I and II. The first 5 principal components (PC) of the PCA explained 65% of variability. The first PC (eigenvalue 4.2) showed one major pattern of clinical features positively loaded by migraine-related disability, depression, poor sleep quality, somatic symptoms, post-traumatic stress disorder, being overweight and negatively loaded by pain self-efficacy and exercise levels. CM patients can be classified into three naturally-occurring clusters. Patients with high self-efficacy and exercise levels had lower migraine-related disability, depression, sleep quality, and somatic symptoms. These results may ultimately inform different management strategies.

  View details for DOI 10.1038/s41598-020-59738-1

  View details for PubMedID 32071349

• ACEP Guidelines on Acute Nontraumatic Headache Diagnosis and Management in the Emergency Department, Commentary on Behalf of the Refractory, Inpatient, Emergency Care Section of the American Headache Society. Headache Peretz, A., Dujari, S., Cowan, R., Minen, M. 2020

  Abstract

  The American College of Emergency Physicians (ACEP) published guidelines in July 2019 on the diagnosis and management of acute nontraumatic headaches in the emergency department, focusing predominantly on the diagnosis of subarachnoid hemorrhage and the role of imaging and lumbar puncture in diagnosis. The ACEP Clinical Policies document is intended to aide Emergency Physicians in their approach to patients presenting with acute headache and to improve the accuracy of diagnosis, while promoting safe patient care practices. The Clinical Policies document also highlights the need for future research into best practices to distinguish primary from secondary headaches and the efficacy and safety of current treatment options for acute headaches. The following commentary on these guidelines is intended to support and expand on these guidelines from the Headache specialists' perspective, written on behalf of the Refractory, Inpatient, Emergency Care section of the American Headache Society (AHS). The commentary have been reviewed and approved by Board of Directors of the AHS.

  View details for DOI 10.1111/head.13744

  View details for PubMedID 31944291

• Exploring Natural Cohorts of Chronic Migraine Phenotype Woldeamanuel, Y., Sanjanwala, B., Peretz, A., Cowan, R. LIPPINCOTT WILLIAMS & WILKINS. 2019

  View details for Web of Science ID 000475965903299

• Altered structural brain network topology in chronic migraine. Brain structure & function DeSouza, D. D., Woldeamanuel, Y. W., Sanjanwala, B. M., Bissell, D. A., Bishop, J. H., Peretz, A., Cowan, R. P. 2019

  Abstract

  Despite its prevalence and high disease burden, the pathophysiological mechanisms underlying chronic migraine (CM) are not well understood. As CM is a complex disorder associated with a range of sensory, cognitive, and affective comorbidities, examining structural network disruption may provide additional insights into CM symptomology beyond studies of focal brain regions. Here, we compared structural interconnections in patients with CM (n = 52) and healthy controls (HC) (n = 48) using MRI measures of cortical thickness and subcortical volume combined with graph theoretical network analyses. The analysis focused on both local (nodal) and global measures of topology to examine network integration, efficiency, centrality, and segregation. Our results indicated that patients with CM had altered global network properties that were characterized as less integrated and efficient (lower global and local efficiency) and more highly segregated (higher transitivity). Patients also demonstrated aberrant local network topology that was less integrated (higher path length), less central (lower closeness centrality), less efficient (lower local efficiency) and less segregated (lower clustering). These network differences not only were most prominent in the limbic and insular cortices but also occurred in frontal, temporal, and brainstem regions, and occurred in the absence of group differences in focal brain regions. Taken together, examining structural correlations between brain areas may be a more sensitive means to detect altered brain structure and understand CM symptomology at the network level. These findings contribute to an increased understanding of structural connectivity in CM and provide a novel approach to potentially track and predict the progression of migraine disorders.This study is registered on ClinicalTrials.gov (Identifier: NCT03304886).

  View details for DOI 10.1007/s00429-019-01994-7

  View details for PubMedID 31792696

• Migraine Action Plan (MAP). Headache Peretz, A. M., Minen, M. T., Cowan, R., Strauss, L. D. 2018; 58 (2): 355–56

  View details for PubMedID 29411363

• Introducing the Migraine Action Plan HEADACHE Peretz, A. M., Minen, M. T., Cowan, R., Strauss, L. D. 2018; 58 (2): 195

  View details for PubMedID 29411373

• Interactions between affective measures and amygdala volume in chronic migraine: associations in the absence of group volumetric differences Desouza, D. D., Woldeamanuel, Y. W., Peretz, A. M., Sanjanwala, B. M., Cowan, R. P. SAGE PUBLICATIONS LTD. 2017: 47–48

  View details for Web of Science ID 000410068300064

• Validating a Screening Tool for Chronic Migraine Hindiyeh, N., Shahin, M., Zhang, N., Peretz, A., von Eyben, R., Cowan, R., Aurora, S. WILEY-BLACKWELL. 2016: 1397–98

  View details for Web of Science ID 000387856900035

• Utah Aura Project, Investigating the Association between Migraine Aura and Altitude Ahmed, Z. A., Digre, K., Brennan, K., Aurora, S., Peretz, A., Baggaley, S. WILEY-BLACKWELL. 2016: 43–44

  View details for Web of Science ID 000379157200079

• A study of adverse events attributed to Onabotulinum Toxin A for Chronic Migraine Prophylaxis Peretz, A., Zhang, N., Hindiyeh, N., Aurora, S. WILEY-BLACKWELL. 2016: 25–26

  View details for Web of Science ID 000379157200047

• Spontaneous extracranial hemorrhagic phenomena in primary headache disorders: a 120-year systematic review and pooled analysis of published case studies International Headache Congress of the International-Headache-Society Peretz, A., Woldemanuel, Y., Cowan, R. SAGE PUBLICATIONS LTD. 2015: 213–213

  View details for Web of Science ID 000354559400428

• Sudden Onset of Slurring of Speech Case-Based Neurology Peretz, A., Singh, A. Demos Medical. 2011; 1
• Subclinical Hypothyroidism: To Screen or Not to Screen? Peretz, A. NYU Langone Online Journal of Medicine. 2011 ; Clinical Correlations
• Headache and Loss of Consciousness Case-Based Neurology Kurzweil, A., Peretz, A., Singh, A. Demos Medical. 2011; 1