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epat v4.9  (MathWorks Inc)


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    Structured Review

    MathWorks Inc epat v4.9
    Illustrates the fundamental workflow and principal algorithms involved in the <t>EPAT</t> toolbox analysis. Comprising four main parts, it begins with the data input stage, supporting the import of various EEG file formats. The preprocessing module encompasses parameter settings, the execution of batch preprocessing scripts, and detailed processes like ‘Process EEG One by One’ and ‘Epoch ERP One by One’. The data analysis and processing phase includes ERP analysis, EEG power spectrum analysis, connectivity analysis, and time-frequency analysis. Finally, the toolbox offers a user-friendly interactive interface, alongside a suite of visualization tools for data representation. (EEG, electroencephalography; ERP, event-related potentials; ICA, independent component analysis; PCA, principal component analysis; ICs, independent components).
    Epat V4.9, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/epat v4.9/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    epat v4.9 - by Bioz Stars, 2026-04
    90/100 stars

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    1) Product Images from "EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis"

    Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

    Journal: Frontiers in Neuroinformatics

    doi: 10.3389/fninf.2024.1384250

    Illustrates the fundamental workflow and principal algorithms involved in the EPAT toolbox analysis. Comprising four main parts, it begins with the data input stage, supporting the import of various EEG file formats. The preprocessing module encompasses parameter settings, the execution of batch preprocessing scripts, and detailed processes like ‘Process EEG One by One’ and ‘Epoch ERP One by One’. The data analysis and processing phase includes ERP analysis, EEG power spectrum analysis, connectivity analysis, and time-frequency analysis. Finally, the toolbox offers a user-friendly interactive interface, alongside a suite of visualization tools for data representation. (EEG, electroencephalography; ERP, event-related potentials; ICA, independent component analysis; PCA, principal component analysis; ICs, independent components).
    Figure Legend Snippet: Illustrates the fundamental workflow and principal algorithms involved in the EPAT toolbox analysis. Comprising four main parts, it begins with the data input stage, supporting the import of various EEG file formats. The preprocessing module encompasses parameter settings, the execution of batch preprocessing scripts, and detailed processes like ‘Process EEG One by One’ and ‘Epoch ERP One by One’. The data analysis and processing phase includes ERP analysis, EEG power spectrum analysis, connectivity analysis, and time-frequency analysis. Finally, the toolbox offers a user-friendly interactive interface, alongside a suite of visualization tools for data representation. (EEG, electroencephalography; ERP, event-related potentials; ICA, independent component analysis; PCA, principal component analysis; ICs, independent components).

    Techniques Used:

    Comparison of EPAT and EEGLAB by 16 participants across 14 dimensions. * Indicates statistically significant differences.
    Figure Legend Snippet: Comparison of EPAT and EEGLAB by 16 participants across 14 dimensions. * Indicates statistically significant differences.

    Techniques Used: Comparison

    Main functionality of EPAT.
    Figure Legend Snippet: Main functionality of EPAT.

    Techniques Used: Selection

    Schematic representation of the EPAT GUI and project directory and EEG file preparation. (GUI, graphical user interface; EEG, electroencephalography).
    Figure Legend Snippet: Schematic representation of the EPAT GUI and project directory and EEG file preparation. (GUI, graphical user interface; EEG, electroencephalography).

    Techniques Used:

    Defining parameters in EPAT. In general, five steps are required to complete the setting of all parameters. DefineParam1: Define data import parameters for a processing project. DefineParam2: Define preprocessing and filtering parameters for EEG data. DefineParam3: Define channel selection and ICA parameters. DefineParam4: Define ERP epoch and time-frequency analysis parameters. DefineParam5: Define ERP events and conditions parameters. After clicking “Next,” a separate new interface will pop up (the previous interface will not disappear). (ICA, independent component analysis; EEG, electroencephalography; ERP, event-related potential).
    Figure Legend Snippet: Defining parameters in EPAT. In general, five steps are required to complete the setting of all parameters. DefineParam1: Define data import parameters for a processing project. DefineParam2: Define preprocessing and filtering parameters for EEG data. DefineParam3: Define channel selection and ICA parameters. DefineParam4: Define ERP epoch and time-frequency analysis parameters. DefineParam5: Define ERP events and conditions parameters. After clicking “Next,” a separate new interface will pop up (the previous interface will not disappear). (ICA, independent component analysis; EEG, electroencephalography; ERP, event-related potential).

    Techniques Used: Selection

    Running the batch preprocess script in EPAT. After clicking “Step 1 Run Batch Preprocess Script” and starting the analysis, four windows appear: 1. The MATLAB command window. 2. EPAT analysis progress. 3. The Pause window. 4. The EEGLAB information pop-up window.
    Figure Legend Snippet: Running the batch preprocess script in EPAT. After clicking “Step 1 Run Batch Preprocess Script” and starting the analysis, four windows appear: 1. The MATLAB command window. 2. EPAT analysis progress. 3. The Pause window. 4. The EEGLAB information pop-up window.

    Techniques Used:

    Processing EEG data in EPAT. The process EEG One by One step contains a total of seven steps. (A) General page layout. (B) The scroll channel activities, scroll component activities, and topoplot map obtained from the loaded data. (EEG, electroencephalography).
    Figure Legend Snippet: Processing EEG data in EPAT. The process EEG One by One step contains a total of seven steps. (A) General page layout. (B) The scroll channel activities, scroll component activities, and topoplot map obtained from the loaded data. (EEG, electroencephalography).

    Techniques Used:

    Processing ERP data in EPAT. The Epoch ERP One by One step contains a total of eight steps. (A) General page layout. (B) Analysis process after clicking “Start” in Step 3: First, users browse through each trial from the beginning, then click the bad trial with the left mouse button and mark it. After marking, users click “Bad trials” in the lower right corner, then return to the EpochERP interface and click “Acquire bad trials”; the corresponding bad trial number will appear in the upper space. (ERP, event-related potential).
    Figure Legend Snippet: Processing ERP data in EPAT. The Epoch ERP One by One step contains a total of eight steps. (A) General page layout. (B) Analysis process after clicking “Start” in Step 3: First, users browse through each trial from the beginning, then click the bad trial with the left mouse button and mark it. After marking, users click “Bad trials” in the lower right corner, then return to the EpochERP interface and click “Acquire bad trials”; the corresponding bad trial number will appear in the upper space. (ERP, event-related potential).

    Techniques Used:

    Averaged ERP results in EPAT. (A) There are five modules (1. Load parameter file; 2. Load subject list; 3. Load ERP result file; 4. Select ERP from subjects and conditions; and 5. Plot mean ERPs from multiple subjects) and a toolbar (show filenames, show event names, plot channel locations, and save channel names) in the Step 4 (Show Averaged ERP Results) interface. (B) Export amplitudes and latencies of different averaged ERP components (in the form of Excel) for statistical tests. (ERP, event-related potential).
    Figure Legend Snippet: Averaged ERP results in EPAT. (A) There are five modules (1. Load parameter file; 2. Load subject list; 3. Load ERP result file; 4. Select ERP from subjects and conditions; and 5. Plot mean ERPs from multiple subjects) and a toolbar (show filenames, show event names, plot channel locations, and save channel names) in the Step 4 (Show Averaged ERP Results) interface. (B) Export amplitudes and latencies of different averaged ERP components (in the form of Excel) for statistical tests. (ERP, event-related potential).

    Techniques Used:

    Time-frequency analysis in EPAT. Step 5 (Run TF for ERP) contains four modules. (A) General page layout: Module 1: Basic settings; Module 2: Extract rhythm and TF configurations; EEG/ERP configurations for TF; Module 3: Defined TF settings; and Module 4, which is used to track the procedure (at the bottom). (B) After clicking “Show TF” and entering the time window, frequency range, and channels of interest, EPAT will show and export TF results for ERP. (TF, time-frequency; ERP, event-related potential).
    Figure Legend Snippet: Time-frequency analysis in EPAT. Step 5 (Run TF for ERP) contains four modules. (A) General page layout: Module 1: Basic settings; Module 2: Extract rhythm and TF configurations; EEG/ERP configurations for TF; Module 3: Defined TF settings; and Module 4, which is used to track the procedure (at the bottom). (B) After clicking “Show TF” and entering the time window, frequency range, and channels of interest, EPAT will show and export TF results for ERP. (TF, time-frequency; ERP, event-related potential).

    Techniques Used:

    Performance comparison with existing toolboxes.
    Figure Legend Snippet: Performance comparison with existing toolboxes.

    Techniques Used: Comparison



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    Illustrates the fundamental workflow and principal algorithms involved in the <t>EPAT</t> toolbox analysis. Comprising four main parts, it begins with the data input stage, supporting the import of various EEG file formats. The preprocessing module encompasses parameter settings, the execution of batch preprocessing scripts, and detailed processes like ‘Process EEG One by One’ and ‘Epoch ERP One by One’. The data analysis and processing phase includes ERP analysis, EEG power spectrum analysis, connectivity analysis, and time-frequency analysis. Finally, the toolbox offers a user-friendly interactive interface, alongside a suite of visualization tools for data representation. (EEG, electroencephalography; ERP, event-related potentials; ICA, independent component analysis; PCA, principal component analysis; ICs, independent components).
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    Illustrates the fundamental workflow and principal algorithms involved in the EPAT toolbox analysis. Comprising four main parts, it begins with the data input stage, supporting the import of various EEG file formats. The preprocessing module encompasses parameter settings, the execution of batch preprocessing scripts, and detailed processes like ‘Process EEG One by One’ and ‘Epoch ERP One by One’. The data analysis and processing phase includes ERP analysis, EEG power spectrum analysis, connectivity analysis, and time-frequency analysis. Finally, the toolbox offers a user-friendly interactive interface, alongside a suite of visualization tools for data representation. (EEG, electroencephalography; ERP, event-related potentials; ICA, independent component analysis; PCA, principal component analysis; ICs, independent components).

    Journal: Frontiers in Neuroinformatics

    Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

    doi: 10.3389/fninf.2024.1384250

    Figure Lengend Snippet: Illustrates the fundamental workflow and principal algorithms involved in the EPAT toolbox analysis. Comprising four main parts, it begins with the data input stage, supporting the import of various EEG file formats. The preprocessing module encompasses parameter settings, the execution of batch preprocessing scripts, and detailed processes like ‘Process EEG One by One’ and ‘Epoch ERP One by One’. The data analysis and processing phase includes ERP analysis, EEG power spectrum analysis, connectivity analysis, and time-frequency analysis. Finally, the toolbox offers a user-friendly interactive interface, alongside a suite of visualization tools for data representation. (EEG, electroencephalography; ERP, event-related potentials; ICA, independent component analysis; PCA, principal component analysis; ICs, independent components).

    Article Snippet: The installation of EPAT toolbox is accomplished in three steps, as follows: (1) Downloading the file “EPAT V4.9” ( ). (2) Running the MATLAB command “Set path,” selecting “Add with subfolders,” then EPAT_V4, and saving.

    Techniques:

    Comparison of EPAT and EEGLAB by 16 participants across 14 dimensions. * Indicates statistically significant differences.

    Journal: Frontiers in Neuroinformatics

    Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

    doi: 10.3389/fninf.2024.1384250

    Figure Lengend Snippet: Comparison of EPAT and EEGLAB by 16 participants across 14 dimensions. * Indicates statistically significant differences.

    Article Snippet: The installation of EPAT toolbox is accomplished in three steps, as follows: (1) Downloading the file “EPAT V4.9” ( ). (2) Running the MATLAB command “Set path,” selecting “Add with subfolders,” then EPAT_V4, and saving.

    Techniques: Comparison

    Main functionality of EPAT.

    Journal: Frontiers in Neuroinformatics

    Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

    doi: 10.3389/fninf.2024.1384250

    Figure Lengend Snippet: Main functionality of EPAT.

    Article Snippet: The installation of EPAT toolbox is accomplished in three steps, as follows: (1) Downloading the file “EPAT V4.9” ( ). (2) Running the MATLAB command “Set path,” selecting “Add with subfolders,” then EPAT_V4, and saving.

    Techniques: Selection

    Schematic representation of the EPAT GUI and project directory and EEG file preparation. (GUI, graphical user interface; EEG, electroencephalography).

    Journal: Frontiers in Neuroinformatics

    Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

    doi: 10.3389/fninf.2024.1384250

    Figure Lengend Snippet: Schematic representation of the EPAT GUI and project directory and EEG file preparation. (GUI, graphical user interface; EEG, electroencephalography).

    Article Snippet: The installation of EPAT toolbox is accomplished in three steps, as follows: (1) Downloading the file “EPAT V4.9” ( ). (2) Running the MATLAB command “Set path,” selecting “Add with subfolders,” then EPAT_V4, and saving.

    Techniques:

    Defining parameters in EPAT. In general, five steps are required to complete the setting of all parameters. DefineParam1: Define data import parameters for a processing project. DefineParam2: Define preprocessing and filtering parameters for EEG data. DefineParam3: Define channel selection and ICA parameters. DefineParam4: Define ERP epoch and time-frequency analysis parameters. DefineParam5: Define ERP events and conditions parameters. After clicking “Next,” a separate new interface will pop up (the previous interface will not disappear). (ICA, independent component analysis; EEG, electroencephalography; ERP, event-related potential).

    Journal: Frontiers in Neuroinformatics

    Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

    doi: 10.3389/fninf.2024.1384250

    Figure Lengend Snippet: Defining parameters in EPAT. In general, five steps are required to complete the setting of all parameters. DefineParam1: Define data import parameters for a processing project. DefineParam2: Define preprocessing and filtering parameters for EEG data. DefineParam3: Define channel selection and ICA parameters. DefineParam4: Define ERP epoch and time-frequency analysis parameters. DefineParam5: Define ERP events and conditions parameters. After clicking “Next,” a separate new interface will pop up (the previous interface will not disappear). (ICA, independent component analysis; EEG, electroencephalography; ERP, event-related potential).

    Article Snippet: The installation of EPAT toolbox is accomplished in three steps, as follows: (1) Downloading the file “EPAT V4.9” ( ). (2) Running the MATLAB command “Set path,” selecting “Add with subfolders,” then EPAT_V4, and saving.

    Techniques: Selection

    Running the batch preprocess script in EPAT. After clicking “Step 1 Run Batch Preprocess Script” and starting the analysis, four windows appear: 1. The MATLAB command window. 2. EPAT analysis progress. 3. The Pause window. 4. The EEGLAB information pop-up window.

    Journal: Frontiers in Neuroinformatics

    Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

    doi: 10.3389/fninf.2024.1384250

    Figure Lengend Snippet: Running the batch preprocess script in EPAT. After clicking “Step 1 Run Batch Preprocess Script” and starting the analysis, four windows appear: 1. The MATLAB command window. 2. EPAT analysis progress. 3. The Pause window. 4. The EEGLAB information pop-up window.

    Article Snippet: The installation of EPAT toolbox is accomplished in three steps, as follows: (1) Downloading the file “EPAT V4.9” ( ). (2) Running the MATLAB command “Set path,” selecting “Add with subfolders,” then EPAT_V4, and saving.

    Techniques:

    Processing EEG data in EPAT. The process EEG One by One step contains a total of seven steps. (A) General page layout. (B) The scroll channel activities, scroll component activities, and topoplot map obtained from the loaded data. (EEG, electroencephalography).

    Journal: Frontiers in Neuroinformatics

    Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

    doi: 10.3389/fninf.2024.1384250

    Figure Lengend Snippet: Processing EEG data in EPAT. The process EEG One by One step contains a total of seven steps. (A) General page layout. (B) The scroll channel activities, scroll component activities, and topoplot map obtained from the loaded data. (EEG, electroencephalography).

    Article Snippet: The installation of EPAT toolbox is accomplished in three steps, as follows: (1) Downloading the file “EPAT V4.9” ( ). (2) Running the MATLAB command “Set path,” selecting “Add with subfolders,” then EPAT_V4, and saving.

    Techniques:

    Processing ERP data in EPAT. The Epoch ERP One by One step contains a total of eight steps. (A) General page layout. (B) Analysis process after clicking “Start” in Step 3: First, users browse through each trial from the beginning, then click the bad trial with the left mouse button and mark it. After marking, users click “Bad trials” in the lower right corner, then return to the EpochERP interface and click “Acquire bad trials”; the corresponding bad trial number will appear in the upper space. (ERP, event-related potential).

    Journal: Frontiers in Neuroinformatics

    Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

    doi: 10.3389/fninf.2024.1384250

    Figure Lengend Snippet: Processing ERP data in EPAT. The Epoch ERP One by One step contains a total of eight steps. (A) General page layout. (B) Analysis process after clicking “Start” in Step 3: First, users browse through each trial from the beginning, then click the bad trial with the left mouse button and mark it. After marking, users click “Bad trials” in the lower right corner, then return to the EpochERP interface and click “Acquire bad trials”; the corresponding bad trial number will appear in the upper space. (ERP, event-related potential).

    Article Snippet: The installation of EPAT toolbox is accomplished in three steps, as follows: (1) Downloading the file “EPAT V4.9” ( ). (2) Running the MATLAB command “Set path,” selecting “Add with subfolders,” then EPAT_V4, and saving.

    Techniques:

    Averaged ERP results in EPAT. (A) There are five modules (1. Load parameter file; 2. Load subject list; 3. Load ERP result file; 4. Select ERP from subjects and conditions; and 5. Plot mean ERPs from multiple subjects) and a toolbar (show filenames, show event names, plot channel locations, and save channel names) in the Step 4 (Show Averaged ERP Results) interface. (B) Export amplitudes and latencies of different averaged ERP components (in the form of Excel) for statistical tests. (ERP, event-related potential).

    Journal: Frontiers in Neuroinformatics

    Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

    doi: 10.3389/fninf.2024.1384250

    Figure Lengend Snippet: Averaged ERP results in EPAT. (A) There are five modules (1. Load parameter file; 2. Load subject list; 3. Load ERP result file; 4. Select ERP from subjects and conditions; and 5. Plot mean ERPs from multiple subjects) and a toolbar (show filenames, show event names, plot channel locations, and save channel names) in the Step 4 (Show Averaged ERP Results) interface. (B) Export amplitudes and latencies of different averaged ERP components (in the form of Excel) for statistical tests. (ERP, event-related potential).

    Article Snippet: The installation of EPAT toolbox is accomplished in three steps, as follows: (1) Downloading the file “EPAT V4.9” ( ). (2) Running the MATLAB command “Set path,” selecting “Add with subfolders,” then EPAT_V4, and saving.

    Techniques:

    Time-frequency analysis in EPAT. Step 5 (Run TF for ERP) contains four modules. (A) General page layout: Module 1: Basic settings; Module 2: Extract rhythm and TF configurations; EEG/ERP configurations for TF; Module 3: Defined TF settings; and Module 4, which is used to track the procedure (at the bottom). (B) After clicking “Show TF” and entering the time window, frequency range, and channels of interest, EPAT will show and export TF results for ERP. (TF, time-frequency; ERP, event-related potential).

    Journal: Frontiers in Neuroinformatics

    Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

    doi: 10.3389/fninf.2024.1384250

    Figure Lengend Snippet: Time-frequency analysis in EPAT. Step 5 (Run TF for ERP) contains four modules. (A) General page layout: Module 1: Basic settings; Module 2: Extract rhythm and TF configurations; EEG/ERP configurations for TF; Module 3: Defined TF settings; and Module 4, which is used to track the procedure (at the bottom). (B) After clicking “Show TF” and entering the time window, frequency range, and channels of interest, EPAT will show and export TF results for ERP. (TF, time-frequency; ERP, event-related potential).

    Article Snippet: The installation of EPAT toolbox is accomplished in three steps, as follows: (1) Downloading the file “EPAT V4.9” ( ). (2) Running the MATLAB command “Set path,” selecting “Add with subfolders,” then EPAT_V4, and saving.

    Techniques:

    Performance comparison with existing toolboxes.

    Journal: Frontiers in Neuroinformatics

    Article Title: EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis

    doi: 10.3389/fninf.2024.1384250

    Figure Lengend Snippet: Performance comparison with existing toolboxes.

    Article Snippet: The installation of EPAT toolbox is accomplished in three steps, as follows: (1) Downloading the file “EPAT V4.9” ( ). (2) Running the MATLAB command “Set path,” selecting “Add with subfolders,” then EPAT_V4, and saving.

    Techniques: Comparison