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: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques:

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: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques: Comparison

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: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques: Selection

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: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques:

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: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques: Selection

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: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques:

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: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques:

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: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques:

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: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques:

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: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques:

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: We introduce an open-source, user-friendly, and reproducible MATLAB toolbox named EPAT that includes a variety of algorithms for EEG data preprocessing.

Techniques: Comparison

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: EPAT toolbox runs under the MATLAB programming environment.

Techniques:

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: EPAT toolbox runs under the MATLAB programming environment.

Techniques: Selection

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: EPAT toolbox runs under the MATLAB programming environment.

Techniques:

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: EPAT toolbox runs under the MATLAB programming environment.

Techniques: Comparison

Journal: Tomography

Article Title: ePAD: An Image Annotation and Analysis Platform for Quantitative Imaging

doi: 10.18383/j.tom.2018.00055

Figure Lengend Snippet: T1 perfusion map generated by ePAD plugin derived from the algorithm in Jarrett et al.'s study , with the map overlaid on magnetic resonance (MR) image using a color lookup table.

Article Snippet: To support interoperability of image annotations, ePAD writes all image annotations and results of quantitative imaging analyses in standardized file formats, and it supports migration of annotations from various propriety formats. ePAD also provides a plugin architecture supporting MATLAB server-side modules in addition to client-side plugins, permitting the community to extend the ePAD platform in various ways for new cancer use cases.

Techniques: Generated, Derivative Assay

Journal: Tomography

Article Title: ePAD: An Image Annotation and Analysis Platform for Quantitative Imaging

doi: 10.18383/j.tom.2018.00055

Figure Lengend Snippet: QF Explore Plugin Suite: gray-level co-occurrence matrix feature extraction and comparison chart. The user can compare the feature values for various regions of interest (ROIs). GLCM contrast and correlation is higher for vascular ROIs .

Article Snippet: To support interoperability of image annotations, ePAD writes all image annotations and results of quantitative imaging analyses in standardized file formats, and it supports migration of annotations from various propriety formats. ePAD also provides a plugin architecture supporting MATLAB server-side modules in addition to client-side plugins, permitting the community to extend the ePAD platform in various ways for new cancer use cases.

Techniques: Extraction, Comparison

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:

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

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

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:

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

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:

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:

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:

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:

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:

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

Journal: Scientific Reports

Article Title: Spatial distribution and source apportionment of PFASs in surface sediments from five lake regions, China

doi: 10.1038/srep22674

Figure Lengend Snippet: Lakes and reservoirs corresponding to serial numbers of 1–50 are displayed in . (We created the map using the Matlab R2014b software for windows 2000/2003/XP/VISTA/7/8).

Article Snippet: Data analyses were carried out with MassLynx V4.1 (Waters Corporation, Milford, MA, USA), Office 2010 (Microsoft Incorporated, Redmond, WA, USA), SPSS 22.0 (SPSS Incorporated, Chicago, IL, USA), Matlab R2014b (MathWorks Incorporated, Natick, MA, USA), ArcGIS 9.2 (ESRI, Redlands, CA, USA) and US EPA PMF 5.0.

Techniques: Software