About

Dr. Maria Bruzzone Giraldez is an Epileptologist and Clinical Assistant Professor of Neurology at the University of Florida. She earned her medical degree from the Universidad de la República in Uruguay and completed her neurology residency at Loyola University Medical Center in Illinois in 2016. Following her residency, she pursued fellowship training in Neurophysiology and Epilepsy at the University of Chicago Medical Center, finishing in 2017. She also holds a Master of Science in Clinical Research from the Medical University of South Carolina. Dr. Bruzzone leads the ICU-EEG Fellowship program, a specialized one-year training designed to enhance skills in advanced EEG monitoring within the ICU setting, focusing on the diagnosis and management of critically ill neurological patients. She is dedicated to improving the quality of life for patients with epilepsy and seizures, overseeing clinics such as the adult Precision Ketogenic Therapy clinic and the Post-Acute Symptomatic Seizure clinic. As the Director of Research for the Epilepsy division at the University of Florida, her research interests include Precision Ketogenic Therapy for drug-resistant epilepsies, EEG biomarkers for postoperative and ICU-related delirium, and the long-term management of acute symptomatic seizures.

Research topics

• Intensive care medicine
• Medicine
• Artificial Intelligence
• Psychiatry
• Computer Science
• Pathology
• Family medicine
• Pediatrics
• Medical emergency
• Endocrinology
• Audiology

Selected publications

• Quantitative EEG to Detect a Late-Onset Vasospasm After Subarachnoid Hemorrhage due to Basilar Artery Aneurysm: A Case Report

  The Neurohospitalist · 2026-02-28

  articleOpen accessSenior author

  Delayed cerebral ischemia remains a major cause of morbidity and mortality following subarachnoid hemorrhage. Early detection is crucial for improving outcomes, yet traditional imaging modalities may fail to identify evolving ischemic changes in real time. We report the case of a 44-year-old female who presented with a sudden severe headache. Initial computed tomography revealed a subarachnoid hemorrhage secondary to a serpentine aneurysm of a tortuous basilar artery. Continuous EEG (cEEG) monitoring demonstrated progressive hemispheric asymmetry and frequency slowing preceding clinical deterioration, consistent with evolving delayed cerebral ischemia (DCI). This case underscores the value of cEEG as a sensitive and noninvasive tool for the early detection of cerebral ischemia, allowing timely therapeutic intervention before irreversible injury occurs.

  PublisherOA PDFDOI

• Multitarget neurostimulation of the deep brain: clinical opportunities, challenges, and emerging technologies

  Journal of Neural Engineering · 2025-09-18

  articleOpen access

  Recent computational, pre-clinical, and clinical studies have demonstrated the potential for using neuromodulation through simultaneous targeting of multiple deep brain regions. This approach has already been used for therapeutic and systems neuroscience applications. However, the broad clinical adoption of invasive distributed deep brain interfaces remains in its early stages. This review explores the barriers to implementation by addressing three key questions: do the benefits of implanting multiple electrodes justify the associated risks for specific applications? What is the risk-benefit ratio, and what technological advancements will be necessary to encourage clinical adoption? We also examine next-generation technologies that could enable multi-target brain interfaces, including system-on-chip micro-stimulators as well as nanoparticles. We highlight the role of novel machine learning algorithms in the optimization of stimulation parameters and for the guidance of device placement. Emerging hardware accelerators equipped with on-chip AI have demonstrated functionality that can be used to decode and to classify distributed neuronal data. This advance in hardware accelerators has also contributed to the potential for enhanced closed-loop stimulation control of devices. Despite these advances, significant technological and translational barriers persist, limiting the widespread clinical application of multi-target brain interfaces. This review provides a critical analysis of recent prototypes and novel hardware for use in multi-target systems. We will discuss both clinical and research applications. We will focus on the utilization of multi-site technologies to meet the needs of neurological diseases. We conclude that there exists a critical need for further innovation and integration of multi-site technologies into clinical practice.

  PublisherDOI

• Prolonged Monitoring of Brain Electrical Activity in the Intensive Care Unit

  Neurologic Clinics · 2024 · 1 citations

  • Medicine
  • Intensive care medicine
  • Medical emergency
  PublisherDOI

• The Utilization of the Ketogenic Diet for Adults with Status Epilepticus (P8-7.003)

  Neurology · 2023

  • Medicine
  • Family medicine
  • Intensive care medicine

  To characterize the utilization of ketogenic diet (KD) among healthcare providers caring for adult patients with status epilepticus (SE).

  PublisherDOI

• Electric Fence Artifact on Ambulatory EEG and Review of Common EEG Electrical Artifacts

  The Neurodiagnostic Journal · 2021

  • Computer Science
  • Artificial Intelligence
  • Medicine

  Ambulatory electroencephalogram (AEEG) can be a cost-effective and valuable alternative to in-patient long-term EEG monitoring. A potential benefit of AEEG is that it allows monitoring in the patient's unique home environment. While this can be more affordable and convenient for the patient, it can also present unique challenges for the reviewer. Unlike long-term monitoring in an epilepsy unit, the AEEG recording occurs in a less controlled environment and most often without immediate EEG technical assistance during the recording. As a result, unique EEG artifacts can occur with AEEG. Their recognition and correct interpretation are crucial for proper EEG analysis. This report presents a case of a patient who underwent a 72-hour AEEG to evaluate symptoms initially concerning for subclinical seizures. During the AEEG recording, the patient had a tactile encounter with an electric fence. This tactile event resulted in a unique, not previously reported, pattern clouding an otherwise normal study. By conducting a brief review of the most common non-physiologic environmental artifacts encountered in modern EEG monitoring, we aim to emphasize the importance of patient education to prevent artifactual pollution. This knowledge can facilitate planning and help avoid environmental influences that may create artifacts when recording in an uncontrolled setting.

  PublisherDOI

Frequent coauthors

• Lorena Figueredo Rivas

  University of Florida

  4 shared

• Alexis N. Simpkins

  Cedars-Sinai Medical Center

  4 shared

• Christine N. Smith

  2 shared

• Shweta Goswami

  Maulana Azad Medical College

  2 shared

• Carolina B. Maciel

  University of Florida

  1 shared

• Fernanda Jacinto Pereira Teixeira

  University of Miami

  1 shared

• Guanhong Miao

  University of Florida

  1 shared

• Thiago Carneiro

  University of Florida

  1 shared

Labs

• iBRAIN LabPI

Awards & honors

• Preoperative sleep spindles and delirium in Alzheimer's Dise…