
Neuroimaging features of hospitalized COVID-19 patients can vary, but they are dominated by altered mental status and acute ischemic stroke, according to a research published May 21 in Radiology.
The findings add to a growing knowledge base of the neurologic manifestations of the disease -- which has been paltry compared with the current understanding of its respiratory effects, according to a team led by Dr. Abdelkader Mahammedi of the University of Cincinnati Medical Center in Ohio.
"Several studies have described the spectrum of chest imaging features of COVID-19," the group wrote. "However, to date, only a few case reports have described COVID-19 associated neuroimaging findings."
Mahammedi's group investigated neurological symptoms and imaging findings in patients with COVID-19 hospitalized in three Italian facilities: the University of Brescia, the University of Eastern Piemonte, Novara, and the University of Sassari.
The study included 725 hospitalized patients with COVID-19 disease confirmed by reverse transcription polymerase chain reaction (RT-PCR) tests between February 29 and April 4. Of these, 108 (15%) had acute neurological symptoms and underwent brain or spine imaging. Most patients (99%) had noncontrast brain CT, while 16% underwent head and neck CT angiography (CTA) and 18% had brain MRI.
The investigators found that the most common neurological symptoms in patients hospitalized for COVID-19 were altered mental status and ischemic stroke.
| Neurological characteristics of patients hospitalized with COVID-19 | |
| Imaging finding | Percentage of patients (n=108) |
| Altered mental status | 59% |
| Ischemic stroke | 31% |
| Headache | 12% |
| Myalgias | 12% |
| Seizure | 9% |
| Dizziness | 4% |
| Neuralgia | 3% |
| Ataxia | 2% |
| Hyposmia | 2% |
The group also found the following in patients with neurological symptoms at hospital admission:
- 29% had no known past medical history. Of these, a third had acute ischemic stroke and two had intracranial hemorrhage.
- 71% had at least one additional chronic disorder, such as coronary artery disease (23%), cerebrovascular disease (14%), hypertension (51%), or diabetes (28%).
- 66% had no acute findings on CT. Of these, 35% had abnormalities on brain MRI.
The study results show that neuroimaging features of acutely ill patients with COVID-19 are various, according to Mahammedi and colleagues. Although altered mental status and acute ischemic stroke are the most prevalent, radiologists may also find posterior reversible encephalopathy syndrome, hypoxic-ischemic encephalopathy, or a "nonspecific cortical pattern of T2 fluid-attenuated inversion-recovery (FLAIR) hyperintense signal" on MRI, the group wrote.
In any case, the cause of neurological manifestations of COVID-19 needs further research.
"Currently, we have a poor mechanistic understanding of the neurological symptoms in COVID-19 patients, whether these are arising from critical illness or from direct central nervous system invasion of SARS-CoV-2," the researchers concluded. "Accumulating evidence suggests that a subgroup of patients with severe COVID-19 might have a cytokine storm syndrome which could be a trigger for ischemic strokes, probably related to the prothrombotic effect of the inflammatory response."




![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=100&q=70&w=100)







![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)








