iMediSync QEEG case study

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MCI: Alzheimer’s and Non-Alzheimer’s

Mild Cognitive Impairment is a intermediate stage between the brain’ s normal aging process and dementia. While the individual’s capacity to perform daily activities is maintained, cognitive functions including memory are decreased. Statistics show that 80% of people diagnosed with MCI will develop Alzheimer’s disease about six years after diagnosis. However, the morbidity between Alzheimer’s MCI and non-Alzheimer’s MCI is different, and this can be detected by the AI model based on QEEG learning. The graph demonstrates normal brain activity (yellow), compared to MCI (green) and Alzheimer’s Disease (blue). Similar comparisons can be established between healthy brain activities and depression, anxiety, ADHD, and several other neurological or psychiatric disorders.


A line graph showing power spectral density across frequencies in Hz; four decay curves labeled with Greek letters delta, theta, alpha, and an unlabelled curve, each with distinctive peaks and decay patterns.
A scientific presentation slide showing brain activity and analysis data. The top section displays a series of colorful circular topographic maps labeled with frequency bands (Delta, Theta, Alpha1, Alpha2, Beta1, Beta2, Beta3, Gamma) representing absolute power with a color legend from blue to red. The lower part includes graphs titled Power Spectrum and Component, with line plots and contour maps of brain activity. There are MRI scan slices of a brain with source location markers and coordinates, along with additional statistical information.

MCI - Non Alzheimer’s

The Topomap Report shows that compared to a healthy brain, there is an increase of slow waves Theta and Alpha 1 in both temporal lobes. Simultaneously, Beta waves become more active in an effort to compensate for the slower EEG activity of Theta and Alpha 1 waves, during the early stages of Mild Cognitive Impairment. Patient is a 75-year-old female diagnosed with MCI.


A scientific visualization of brain wave data, including topographic maps of absolute power across different frequency bands, a power spectrum graph, a component analysis graph, and MRI brain scan images with source localization, all related to EEG measurements and analysis.

MCI - Alzheimer’s Disease

The Topomap Report shows that compared to both a healthy brain and a non-Alzheimer’s MCI brain, there is a significant increase in Delta waves, which can be observed in the frontal lobe. At the same time, a great increase of slow waves Theta and Alpha 1 can also be observed in both temporal lobes, while Beta waves have decreased. These changes demonstrate the general decrease in EEG activity as MCI progresses. Patient is a 80-year-old male diagnosed with Alzheimer’s Disease.

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Other available QEEG case studies demonstrate the different brain activity shown in patients diagnosed with Depression, Anxiety, ADHD, Alcohol Addiction, Chronic Pain or Schizophrenia. Ask us for details.

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