Background
Dr. Brett Campbell holds an undergraduate degree in Neuroscience from Macalester College and received his Ph.D. in Biomedical Engineering from the School of Engineering and School of Medicine at Case Western Reserve University. Dr. Campbell’s forensic engagements include biomechanical injury assessment, investigation of slip, trip, and fall events, as well as vehicle accident reconstruction for both passenger and commercial vehicle accidents.
Dr. Campbell utilizes his background in signal processing, computer programming, and biomedical engineering to address unique client needs. Examples include customizing the implementation of computer vision algorithms to extract collision data from commercial vehicle dashboard cameras. He has built scaled three-dimensional geometric models of pedestrian and vehicle interactions to assess whether the mechanisms for claimed injuries were present based on their physical properties and interactions. Dr. Campbell has combined injury profiles, investigative evidence, and methods of accident reconstruction to distinguish a potential driver from passengers in vehicle collisions.
Prior to forensics, Dr. Campbell spent a decade in biomedical research developing and testing novel therapeutics and medical devices.
He led ground-level operations for multi-million-dollar clinical trials aimed at expanding treatment options for movement disorder and stroke patients. This included the construction and implementation of biologically driven real time closed-loop control of electrical stimulation and the exploration of novel stimulus paradigms and waveforms to enhance the delivery of therapeutics to the brain. His research led to the development of patented technology on closed-loop deep brain stimulation (DBS).
His experience with biomechanics includes the development and testing of medical devices for evaluating grip strength in animal models and publications on the electrophysiological correlates of functional motor improvement in stroke patients. He has mentored technical students in science and engineering on projects covering software development, data analytics, as well as medical device safety and design. Dr. Campbell also has scientific publications and presentations on the use of machine learning, artificial intelligence, and computational modeling.
Building upon his academic background in microbiology and pharmacology, he collaborated with veterinarians, physicians, and surgeons to mitigate infection risk relating to both acute and chronic medical implants. Dr. Campbell has experience in the human operating room and performing large animal surgeries reflected in his scientific publications validating new surgical technology. He has experience with post-surgical and injury-based wound management, delivery of antibiotics, as well as infection prevention techniques. He is trained in best clinical and laboratory practices for using personal protective equipment and working with and navigating environments containing biohazards. Dr. Campbell has direct clinical experience working with patients in both Phase I and Phase II clinical trials, implantable medical devices, and evaluating the effects of both electrical stimulation and medication on the brain, motor function, and clinical outcome metrics.
Education and Certifications
- Biomedical Engineering, Ph.D.: Case Western Reserve University (2023)
- Thesis: “Electrophysiological Techniques to Improve The Therapeutic Titration of Deep Brain Stimulation”
- Neuroscience, B.A.: Macalester College (2015)
- Certified Foster and Adoptive Caregiver: State of Ohio
- Bosch Certified Crash Data Retrieval Technician
- Certified XL Tribometrist (CXLT): Excel Tribometers
Publications
- Baker KB, Campbell BA, and Machado AG. “Closed Loop Deep Brain Stimulation for Stroke Rehabilitation”. WO Patent No. 2023/137354 A1. Filed (US) January 12, 2022 (WO) January 12, 2023.
- Campbell, BA, Baker, KB, and Machado AG. Cerebellar Neuromodulation for Stroke. In Preparation for American Journal of Physical Medicine and Rehabilitation.
- Toth C, Campbell BA, Favi Bocca L, Tiefenbach J, Cunningham D, Machado AG, and Baker KB. Deep brain stimulation leads to spatiotemporally variable upper extremity muscle responses which are affected by muscle activation and stimulation amplitude. In preparation for Journal of Parkinsonsism and Related Disorders.
- Mesbah S, Campbell BA, Favi Bocca L, Tiefenbach, J, Liao J, Phillips O, Nagel S, Rammo R, Machado AG, Baker KB, and Escobar DS. Subthalamic activity evoked by electrical stimulation reveals a link between neural oscillations and levodopa-induced changes in motor function in Parkinson’s disease. In preparation for eLife.
- Gopalakrishnan R, Cunningham DC, Hogue O, Schroedel M, Campbell BA, Baker KB, and Machado AG. Electrophysiological correlates of dentate nucleus deep brain stimulation for post-stroke motor recovery. Neurosci. 2024 May 9: doi: 10.1523/JNEUROSCI.2149-23.2024.
- Campbell BA, Favi Bocca L, Tiefenbach J, Hogue O, Nagel SJ, Rammo R, Escobar DS, Machado AG, and Baker KB. Myogenic and cortical evoked potentials vary as a function of stimulus pulse geometry delivered in the subthalamic nucleus of Parkinson’s disease patients. Front. Neuro. 2023 Aug 24. doi: 10.3389/fneur.2023.1216916.
- Campbell BA, Favi Bocca L, Escobar DS, Almeida J, Rammo R, Nagel S, Machado AG, and Baker KB. The impact of pulse timing on cortical and subthalamic nucleus deep brain stimulation evoked potentials. Front. Hum. Neurosci. 2022 Sep 20. 16:1009223. doi: 10.3389/fnhum.2022.1009223.
- Gopalakrishnan R, Cunningham DA, Hogue O, Schroedel M, Campbell BA, Plow EB, Baker KB, and Machado AG. Cortico-cerebellar connectivity underlying motor control in chronic post-stroke individuals. J Neurosci. 2022 May 23:JN-RM-2443-21. doi: 10.1523/JNEUROSCI.2443-21.2022. Epub ahead of print. PMID: 35610051.
- Chelangat Bore J, A Campbell B, Cho H, Pucci F, Gopalakrishnan R, G Machado A, and B Baker K. Long-lasting effects of subthalamic nucleus coordinated reset deep brain stimulation in the non-human primate model of parkinsonism: A case report. Brain Stimul. 2022 Apr 8;15(3):598-600. doi: 10.1016/j.brs.2022.04.005. Epub ahead of print. PMID: 35405326.
- Bore JC, Toth C, Campbell BA, Cho H, Pucci F, Hogue O, Machado AG, and Baker KB. Consistent Changes in Cortico-Subthalamic Directed Connectivity Are Associated With the Induction of Parkinsonism in a Chronically Recorded Non-human Primate Model. Front Neurosci. 2022 Mar 4;16:831055. doi: 10.3389/fnins.2022.831055. PMID: 35310095; PMCID: PMC8930827.
- Campbell BA, Cho H, Faulhammer RM, Hogue O, Tsai JP, Hussain MS, Machado AG, and Baker KB. Stability and Effect of Parkinsonian State on Deep Brain Stimulation Cortical Evoked Potentials. Neuromodulation. 2021 Jul 26. doi: 10.1111/ner.13508. Epub ahead of print. PMID: 34309115.
- Bore J, Campbell BA, Cho H., Gopalakrishnan R, Machado AG, and Baker KB. Prediction of mild Parkinsonism revealed by neural oscillatory changes and machine learning. J Neurophysiol. 2020 Oct 14. doi: 10.1152/jn.00534.2020. Epub ahead of print. PMID: 33052766.
- Branco de Paiva F*, Campbell BA*, Frizon LA, Martin A, Maldonado-Naranjo A, Machado AG, and Baker KB. Feasibility and performance of a frameless stereotactic system for targeting subcortical nuclei in nonhuman primates. J Neurosurg. 2020 Mar 6:1-8. doi: 0.3171/2019.12.JNS192946. Epub ahead of print. PMID: 32114536. (*authors contributed equally to this manuscript).
- Hendrix CM, Campbell BA, Tittle BJ, Johnson, LA, Baker, KB, Johnson, MD, Molnar, GF, and Vitek, JL. Predictive encoding of motor behavior in the supplementary motor area is disrupted in parkinsonism. J Neurophysiol.2018;120(3):1247-1255.doi:10.1152/jn.00306.2018.
- Campbell BA, Machado AG, and Baker KB. Electrophysiologic mapping for deep brain stimulation for movement disorders. Handb Clin Neurol. 2019;160:345-355. doi:10.1016/B978-0-444-64032-1.00022-9.