Week 3 (Jason Chang)


After returning to work after the July 4 holiday, I attended morning rounds on Wednesday and Thursday. Over the last two weeks, I made a list of commonly used terms, medications, and conditions, which has made rounds easier to follow. Dr. Mangat, who was the attending on call this week, taught me a few basics on interpreting head CT scans. Using CT scans from the patients in the Neuroscience ICU, Dr. Mangat pointed out how acute subdural bleeds (i.e. fresh blood) appear as hyperdense (white and bright) masses over the cortical surface of the brain, while chronic subdural bleeds (i.e. old blood) are hypodense (dark). Additionally, Dr. Mangat showed how to measure a midline shift, which is a deviation of the brain past its center line, and how to identify abnormalities in the brainstem. From CT alone, clinicians can make conclusions regarding impairments to the patient’s consciousness, cognitive function, and determine whether brain swelling, stroke, or trauma has occurred.

Interestingly, I learned that brain hemorrhage can be brought on by non-traumatic factors, such as hypertension or vascular malformation in the brain. For example, a young adult was admitted to the Neuroscience ICU after experiencing a hemorrhage brought on by strenuous exercise. The patient was diagnosed with a brain arteriovenous malformation (AVM), an abnormal tangle of weakened blood vessels that is prone to rupturing with pressure or damage to the vessels (Figure 1). I did not get to hear the cause of the bleed, but I suspect that the patient’s high-intensity activity could have elevated their blood pressure, ultimately causing their AVM to rupture. Brain AVMs occur in less than 1% of people, so it was especially interesting to observe this case. An angiogram was ordered to get an x-ray photograph of the patient’s blood vessels before proceeding with a prognosis.



Figure 1. Brain arteriovenous malformation (AVM) [1]

Last week, Dr. Forgács suggested analyzing the electrode channels in a specific brain area to minimize the different types of artifacts that could arise from sources other than the brain. Fortunately, the EEG data for my research project was collected using the 10-20 International System of Electrode Placement (10-20 system; Figure 2), an internationally recognized method for the placement of EEG electrodes on the scalp to ensure standardized reproducibility and interpretable records of EEG experiments. On Monday, Dr. Mangat and I decided that I could start by analyzing a few of the frontal and parietal electrode channels.  

Figure 2. 10-20 system for the placement of EEG electrodes [2] 

In addition to reading about EEG technology and subarachnoid hemorrhage (SAH), I have been reading literature on signals processing techniques, specifically on computational methods that have previously been used to remove artifacts in EEG signals. I am worried that the programming and signals processing knowledge required for my project may be too high-level and extremely challenging with only a month left. However, Dr. Min and Dr. Prince suggested trying to breakdown my project into smaller, achievable tasks, so I am determined to keep trying. 

WCMC has cleared me for my clinical observership under Dr. Dean Lorich, Chief of Orthopaedic Trauma at NYP, so I hope to start observing orthopaedic surgery procedures next week. Next week, I also plan to start testing an open source artifact rejection toolbox in MATLAB using the EEG data from the SAH study.

References
[1] https://www.mayfieldclinic.com/Images/PE-AVM_Figure1a.jpg
[2] L. V. Marcuse, M. C. Fields, and J. Y. Y. Yoo, “Origin and technical aspects of the EEG,” in Rowan’s Primer of EEG, 2nd ed. Elsevier, 2016, ch. 1, pp. 3. 

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