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Objective: To describe our practice of electronic consultations (e-consults) and assess safety and risk factors for subsequent face-to-face consultations. Patients and Methods: A retrospective cohort study of all e-consults completed in a community neurology practice between May 5, 2018, and June 31, 2019, was completed. Clinical and demographic variables were compared between the successful and unsuccessful (defined by presence of subsequent face-to-face consultation) cohorts. Hazard ratios (HR) were calculated using Cox regression model. Kaplan-Meier probability analysis (with 95% CIs) of subsequent face-to-face consultation was performed. Case examples highlighting potential harm were summarized. Results: In total, 302 e-consults were reviewed. The most frequent referrals were for headache (n=125, 41.4%), dysesthesia (n=40, 13.2%), and abnormal imaging finding (n=27, 8.9%). The most common e-consult questions were for treatment (57.6%) and diagnostic evaluation (48.0%) recommendations. Moreover, 24.8% (n=75) of e-consults were followed by face-to-face consultations, with primary risk factors including female sex (HR, 1.9), referral for headache (HR, 1.7), and final diagnosis of migraine (HR, 2.0) or long-term migraine (HR, 5.0). Potential harm related to delayed diagnosis/treatment was identified in 6 (2.0%) patients with migraine and 4 (1.3%) without migraine presenting to emergency department. Conclusion: Utilization of e-consults may safely improve access to neurologic expertise and prevent the need for some visits, which may have required a face-to-face visit. In patients with chronic migraine, e-consults should be considered short-term and followed by face-to-face consultation as soon as access allows. Neurologists performing e-consults should be able to triage patients to face-to-face consultation, particularly when diagnosis is uncertain or the neurologic examination may help guide appropriate testing.

Background The formation of dissecting pseudoaneurysms (dPSAs) is a common sequela of cervical artery dissection, which has been suggested to increase thrombotic risk in previous studies. This study reported clinical features and long‐term outcomes of cervical internal carotid (cICA) and vertebral artery (cVA) dPSAs. Methods We performed a retrospective chart review over a 10‐year period (January 2012–December 2021). Baseline demographics and clinical characteristics, medical and endovascular treatments, and long‐term outcomes were reported for cICA and cVA dPSA groups separately. Nonparametric tests were used to compare group differences. Results In our cohort, 120 (12%) of 999 cervical artery dissection patients had dPSA, with 85% occurring in the cICA and 15% in the cVA. Most dPSAs occurred spontaneously or in association with minor trauma. Compared with cICA dPSA, patients with cVA dPSA were younger (median age [range]=34.5 [24–70] versus 52 [30–77]; P

Stroke is one of the leading causes of death and disability. Despite the high prevalence of stroke, characterizing the acute neural recovery patterns that follow stroke and predicting long-term recovery remains challenging. Objective methods to quantify and characterize neural injury are still lacking. Since neuroimaging methods have a poor temporal resolution, EEG has been used as a method for characterizing post-stroke recovery mechanisms for various deficits including motor, language, and cognition as well as predicting treatment response to experimental therapies. In addition, transcranial magnetic stimulation (TMS), a form of non-invasive brain stimulation, has been used in conjunction with EEG (TMS-EEG) to evaluate neurophysiology for a variety of indications. TMS-EEG has significant potential for exploring brain connectivity using focal TMS-evoked potentials and oscillations, which may allow for the system-specific delineation of recovery patterns after stroke. In this review, we summarize the use of EEG alone or in combination with TMS in post-stroke motor, language, cognition, and functional/global recovery. Overall, stroke leads to a reduction in higher frequency activity (≥8 Hz) and intra-hemispheric connectivity in the lesioned hemisphere, which creates an activity imbalance between non-lesioned and lesioned hemispheres. Compensatory activity in the non-lesioned hemisphere leads mostly to unfavorable outcomes and further aggravated interhemispheric imbalance. Balanced interhemispheric activity with increased intrahemispheric coherence in the lesioned networks correlates with improved post-stroke recovery. TMS-EEG studies reveal the clinical importance of cortical reactivity and functional connectivity within the sensorimotor cortex for motor recovery after stroke. Although post-stroke motor studies support the prognostic value of TMS-EEG, more studies are needed to determine its utility as a biomarker for recovery across domains including language, cognition, and hemispatial neglect. As a complement to MRI-based technologies, EEG-based technologies are accessible and valuable non-invasive clinical tools in stroke neurology.