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Emerging from the fog: Little understood post-stroke cognitive issues are verified

Date:
December 14, 2020
Source:
University of Maryland
Summary:
For the first time, researchers have measured the physical evidence of diminished neural processing within the brain after a stroke.
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After Julia had a minor stroke, she was thankful for receiving rapid treatment and recovering well. But she did notice an unexpected aftereffect as she returned to normal activities. In meetings at work, she was unable to follow the back and forth among attendees. And when she was asked for her own opinions, she found she hadn't grasped well enough what had been discussed to participate. At home, if she was working on a task like cooking dinner, she realized she couldn't easily carry on a conversation with her husband.

So at her next visit with her doctor, she mentioned her symptoms -- and found out she was not alone.

Julia is experiencing poststroke acute dysexecutive syndrome (PSADES), a cognitive dysfunction that people commonly experience after even minor strokes. The condition becomes evident soon after the stroke occurs, and while it correlates to having dead tissue lesion(s) in the brain left behind by the stroke, it does not seem to be related to the location of the lesion(s). Fortunately, PSADES gradually improves in the months after recovery. But what has been going on inside the brain during this time?

Stroke patients have reported these cognitive difficulties to their doctors for a long time. Until now, the evidence of this problem has mostly been anecdotal. A new study by University of Maryland, Johns Hopkins University and New York University researchers for the first time provides measurable physical evidence of diminished neural processing within the brain after a stroke. It suggests that PSADES is the result of a global connectivity dysfunction. The paper, "Poststroke acute dysexecutive syndrome, a disorder resulting from minor stroke due to disruption of network dynamics," has just been published in the Proceedings of the National Academy of Sciences of the United States of America (PNAS).

The paper was written by the University of Maryland's Professor Jonathan Simon (Electrical and Computer Engineering/Biology/Institute for Systems Research), his former postdoctoral researcher Christian Brodbeck, now a visiting assistant professor at the University of Connecticut, and UMD Ph.D. student Joshua Kulasingham; the Johns Hopkins School of Medicine's Associate Professor Elisabeth Marsh, Professor Rafael Llinas and Dania Mallick, all of the Department of Neurology; and NYU Grossman School of Medicine Research Professor Rodolfo Llinas. Marsh is the lead author.

"We tend to think that certain parts of the brain are responsible for specific functions, but in reality you need your entire brain to think clearly and complete tasks," Marsh says. "In this study we show how a small lesion anywhere can disrupt the cognitive network and result in a global dysfunction."

The researchers used magnetoencephalography (MEG) to look at the brain functioning of patients who recently experienced minor strokes. MEG is a non-invasive neuroimaging technology that employs very sensitive magnetometer sensors to make high-speed recordings of naturally occurring magnetic fields produced by electrical currents inside the brain. The subject typically sits under or lies down inside the MEG scanner, which resembles a whole-head hair drier.

Once inside the scanner, patients had their magnetic fields recorded as they completed word and picture matching tasks. These tasks all involved memory, memory search or identification. In some tasks the patient needed to speak the answer, while others required them to press a "yes" or "no" button. An age-matched control group of people who had not suffered a stroke also completed the tasks and were recorded.

Then the two sets of MEG recordings were compared. The stroke patients' recordings exhibited distinct characteristics that were different from the control group. For example, the signals within their brains were noticeably more subdued, appearing more like rolling hills rather than mountain peaks. This is an indicator that the brain is processing less efficiently. The stroke patients also took about twice as long as the control group to complete the tasks. In addition, they were not able to modulate their brain activity at different stages of performing the tasks, a further indicator of neural sluggishness.

These patterns of inefficient processing suggest a dysfunction in the brain's distributed network -- a disruption of the network's dynamics.

"If the problem is not because of the lesion itself, affecting visual processing regardless of where the lesion is located, and you can't see what is wrong in an MRI or CAT scan, then we conclude that the issue is more global: how the brain talks to itself," says Professor Simon. "That is where the MEG technology shines -- in showing us the dynamics of neural processing."

"This shows that even a minor stroke, whose visible signs of damage are small, has a profound impact on the brain as a whole," says Simon. "Damage to a local neural community affects the global neural community."

"A single little lesion can disrupt the entire network and result in global dysfunction," Marsh says.

After six months, the stroke patients returned for a second time to complete the same tasks. They not only performed better on the tests, but also anecdotally reported their symptoms of impairment had largely resolved. However, surprisingly the scans themselves looked relatively the same.

Why symptoms improved while the recordings did not look very different is a mystery.

"Right now we don't know the neural mechanisms that allowed the patients to improve," says Simon. "It could be that new neural communication routes have formed, to bypass the sluggish pathways. Or it could be that older, less used, communication pathways have been repurposed." Further studies could help to unlock this question.

The study called for patients to be scanned again at the one-year mark. But because of the pandemic, they were not able to come in to the test site to repeat the tests. After the pandemic subsides, the researchers have received funding for a new study that will explore ways in which recovery from these symptoms, and the neural sluggishness underlying them, can be sped up, furthering their efforts to unlock the mysteries of the brain.

"What we still don't know is the specifics of how a small lesion disrupts neural communication so widely," says Simon. "We hope that looking at the details of which neural connections are disrupted, and how, will be a next step in understanding not only this particular effect of a minor stroke, but also give us a new window into understanding in how information is processed across the brain."

"This is the first step to better understanding the cause of PSADES, which will allow us to design more effective treatments," Marsh says. "The next step will be to do formal network connectivity studies. Then we can test therapies to help people get better faster."


Story Source:

Materials provided by University of Maryland. Note: Content may be edited for style and length.


Journal Reference:

  1. Elisabeth B. Marsh, Christian Brodbeck, Rafael H. Llinas, Dania Mallick, Joshua P. Kulasingham, Jonathan Z. Simon, and Rodolfo R. Llinás. Poststroke acute dysexecutive syndrome, a disorder resulting from minor stroke due to disruption of network dynamics. PNAS, 2020 DOI: 10.1073/pnas.2013231117

Cite This Page:

University of Maryland. "Emerging from the fog: Little understood post-stroke cognitive issues are verified." ScienceDaily. ScienceDaily, 14 December 2020. <www.sciencedaily.com/releases/2020/12/201214191326.htm>.
University of Maryland. (2020, December 14). Emerging from the fog: Little understood post-stroke cognitive issues are verified. ScienceDaily. Retrieved November 4, 2024 from www.sciencedaily.com/releases/2020/12/201214191326.htm
University of Maryland. "Emerging from the fog: Little understood post-stroke cognitive issues are verified." ScienceDaily. www.sciencedaily.com/releases/2020/12/201214191326.htm (accessed November 4, 2024).

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