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American Focus > Blog > Tech and Science > ‘Extraordinary’ brain network discovery changes our understanding of Parkinson’s disease
Tech and Science

‘Extraordinary’ brain network discovery changes our understanding of Parkinson’s disease

Last updated: February 4, 2026 9:25 am
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‘Extraordinary’ brain network discovery changes our understanding of Parkinson’s disease
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New Study Reveals Key Brain Network Impacted by Parkinson’s Disease

A groundbreaking study published in Nature has shed new light on Parkinson’s disease, challenging traditional beliefs about its causes and symptoms. Scientists have identified a crucial brain network, known as the somato-cognitive action network (SCAN), which plays a significant role in the development and progression of Parkinson’s. This discovery may pave the way for more targeted and effective treatments for the disease.

Parkinson’s disease has long been viewed as a movement disorder, characterized by symptoms such as muscle tremors, difficulty walking, and involuntary muscle contractions. However, the study suggests that Parkinson’s can also affect various other bodily functions, including sleep, blood pressure regulation, digestion, and cognitive function. Interestingly, symptoms of the disease can worsen under stress but improve while listening to music, highlighting the complex nature of Parkinson’s.

According to the researchers, SCAN is a newly discovered brain network that links the mind and body, enabling the transformation of thoughts into actions. By targeting this network with brain-stimulating treatments, it may be possible to alleviate the diverse symptoms associated with Parkinson’s disease.

Renowned neurologist Michael Okun, who was not involved in the study, emphasized the significance of the findings, stating that Parkinson’s is not merely a movement disorder but a comprehensive brain network disorder that impacts various aspects of physiology. Todd Herrington, a neurologist specializing in Parkinson’s, described the results as “extraordinary.”

The study also revealed a surprising pattern in the primary motor cortex (M1) of the brain, which controls movement. While it was previously believed that M1 solely regulated specific body parts, researchers observed that multiple areas of M1 were activated during movements. This led to the identification of SCAN, a network within M1 that coordinates higher-level planning for movement and bridges the gap between the body and the mind.

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Hesheng Liu, a neuroscientist involved in the study, noted that targeting SCAN regions with brain stimulation treatments could significantly improve the symptoms of Parkinson’s disease. By analyzing brain imaging data from individuals with Parkinson’s and healthy individuals, Liu’s team found that individuals with Parkinson’s exhibited increased connectivity in the SCAN circuit, which correlated with more severe symptoms.

Moreover, existing treatments for Parkinson’s, such as levodopa medication and brain stimulation, were found to decrease the connectivity of the SCAN circuit, leading to improved motor function in patients. This suggests that targeting SCAN regions specifically could enhance the effectiveness of existing treatments for Parkinson’s.

The study also explored the use of transcranial magnetic stimulation (TMS), a noninvasive technique that targets M1, to improve symptoms in Parkinson’s patients. By focusing TMS on SCAN regions, researchers found promising results, indicating that this approach could offer a more accessible and effective alternative to deep-brain stimulation.

Overall, the study’s findings have significant implications for the treatment of Parkinson’s disease, offering new insights into the underlying mechanisms of the condition and guiding the development of more precise and impactful therapies. By targeting the SCAN network, researchers may unlock new possibilities for managing and alleviating the symptoms of Parkinson’s, ultimately improving the quality of life for individuals living with the disease.

TAGGED:brainDiscoverydiseaseextraordinaryNetworkParkinsonsunderstanding
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