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Cross modal correlation of EEG and MRI functional connectivity: An Investigative Study. Correlating EEG Analysis with Brain Network Connectivity in Functional MRI. The primary aim of this study is to correlate correlation of MRI and EEG.
Cross modal correlation of EEG and MRI functional connectivity: An Investigative Study. Correlating EEG Analysis with Brain Network Connectivity in fMRI. The primary aim of this study is to correlate correlation of MRI and EEG. The expected study duration is approximately 24 months (first patient in to last patient out). Estimated Enrolment: 1500 Subjects.
The aim of this study is to correlate between fMRI and EEG. Overall, the integration of AI into the study of correlations between EEG and fMRI for brain network analysis holds great promise for advancing our understanding of brain function.
Upon consent, eligible participants will be invited for EEG evaluation. EEG will be obtained using a dry electrodes headset. Correlation between fMRI and EEG connectivity for each EEG frequency band across different configurations (brain atlas, EEG connectivity measure).
EEG data will undergo pre-processing of filtering, electrical line noise removal, artifact removal and down sampling. EEG analysis for each state, comprising within and between participant data, will include frequency analysis (peak frequency and relative power), oscillations (proportions of the activity of the alpha, beta, theta, and delta bands) and power spectra distribution. Functional connectivity analysis will be performed including functional coupling.
For evoked response potentials analysis, data will be segmented to trials/epochs. Bad trials will be excluded from analysis. Included trials data will be averaged. Event-related synchronization (ERS) / desynchronization (ERD) will be evaluated.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Electroencephalography (EEG) | Other | EEG excels in capturing rapid changes in neural activity, making it ideal for investigating the dynamic nature of brain networks. It can detect millisecond-level fluctuations in electrical brain signals, allowing precise timing of neural events and interactions between brain regions. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| EEG | Diagnostic Test | EEG uses small sensors paced on the scalp to record the brain's electrical activity. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Correlation of fMRI and EEG functional connectivity. | Examines how brain connectivity patterns measured by fMRI (blood-flow activity) relate to connectivity patterns measured by EEG (electrical activity). | The expected study duration is approximately 24 months (first patient in to last patient out) |
| Measure | Description | Time Frame |
|---|---|---|
| Correlation between EEG to anatomical MRI findings | Investigates how electrical brain activity (EEG) corresponds to structural brain features or abnormalities seen on anatomical MRI. | The expected study duration is approximately 24 months (first patient in to last patient out) |
| Correlation between EEG to clinical diagnosis, cognitive and physical parameters. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Shai Efrati, MD | Contact | 972509212866 | efratishai@outlook.com |
| Name | Affiliation | Role |
|---|---|---|
| Shai Efrati, MD | Study Principal Investigator | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The Sagol Center for Hyperbaric Medicine and Research Shamir Medical Center (Assaf Harofeh) | Recruiting | Zrifin | 70300 | Israel |
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| ID | Term |
|---|---|
| D004569 | Electroencephalography |
| ID | Term |
|---|---|
| D003943 | Diagnostic Techniques, Neurological |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
| D004568 | Electrodiagnosis |
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Explores how EEG findings relate to a patient's medical diagnosis, cognitive functioning (e.g., memory, attention), and physical/neurological condition. |
| The expected study duration is approximately 24 months (first patient in to last patient out) |