devfold toolbox Search Results


devfold toolbox  (MathWorks Inc)
90
MathWorks Inc devfold toolbox
GUI of the developmental fNIRS Optodes” Location Decider, <t>devfOLD</t> toolbox. (a) Main GUI that displays channel positions for user-selected ROI. In the example, the “Precentral_L” ROI from the AAL3 atlas was selected with specificity (%) > 10 for the “Adult” (20 to 24 years) age group. (b) Illustration of the content in the “Summary” tab for the ROI and specificity specification. Specificity and channel information are organized into the “Landmarks,” “Channels,” and “Sources and Detectors” subtabs.
Devfold Toolbox, 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/devfold toolbox/product/MathWorks Inc
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devfold toolbox - by Bioz Stars, 2026-03
90/100 stars
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devfold matlab toolbox  (MathWorks Inc)
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MathWorks Inc devfold matlab toolbox
GUI of the developmental fNIRS Optodes” Location Decider, <t>devfOLD</t> toolbox. (a) Main GUI that displays channel positions for user-selected ROI. In the example, the “Precentral_L” ROI from the AAL3 atlas was selected with specificity (%) > 10 for the “Adult” (20 to 24 years) age group. (b) Illustration of the content in the “Summary” tab for the ROI and specificity specification. Specificity and channel information are organized into the “Landmarks,” “Channels,” and “Sources and Detectors” subtabs.
Devfold Matlab Toolbox, 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/devfold matlab toolbox/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
devfold matlab toolbox - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

Image Search Results


GUI of the developmental fNIRS Optodes” Location Decider, devfOLD toolbox. (a) Main GUI that displays channel positions for user-selected ROI. In the example, the “Precentral_L” ROI from the AAL3 atlas was selected with specificity (%) > 10 for the “Adult” (20 to 24 years) age group. (b) Illustration of the content in the “Summary” tab for the ROI and specificity specification. Specificity and channel information are organized into the “Landmarks,” “Channels,” and “Sources and Detectors” subtabs.

Journal: Neurophotonics

Article Title: devfOLD: a toolbox for designing age-specific fNIRS channel placement

doi: 10.1117/1.NPh.8.4.045003

Figure Lengend Snippet: GUI of the developmental fNIRS Optodes” Location Decider, devfOLD toolbox. (a) Main GUI that displays channel positions for user-selected ROI. In the example, the “Precentral_L” ROI from the AAL3 atlas was selected with specificity (%) > 10 for the “Adult” (20 to 24 years) age group. (b) Illustration of the content in the “Summary” tab for the ROI and specificity specification. Specificity and channel information are organized into the “Landmarks,” “Channels,” and “Sources and Detectors” subtabs.

Article Snippet: We tested the devfOLD toolbox on all MATLAB OS platforms (Windows 2020b, Mac OSX 2020b, Linux 2020a, Windows, and Mac OSX MATLAB online).

Techniques:

Source–detector channel configurations for the LIFG for 3 months of age. This is an example demonstrating that the devfOLD toolbox can be used to display channel placements estimated using an individual participant’s head model, an age-matched average template, or by averaging age group results computed from individual head models. For the 3-month participant and 3-month average template, specificity values were computed using a single input head model. For the 3-month average, the mean specificity value for each channel was calculated by averaging the sensitivity values for each ROI across participants at age 3-month ( N = 38 ). The mean value was then divided by the sum of averaged sensitivity for all ROIs. Detailed computation procedures are described in Sec. . The specificity threshold was set to 15%. The 10–10 maps above were generated by the devfOLD toolbox.

Journal: Neurophotonics

Article Title: devfOLD: a toolbox for designing age-specific fNIRS channel placement

doi: 10.1117/1.NPh.8.4.045003

Figure Lengend Snippet: Source–detector channel configurations for the LIFG for 3 months of age. This is an example demonstrating that the devfOLD toolbox can be used to display channel placements estimated using an individual participant’s head model, an age-matched average template, or by averaging age group results computed from individual head models. For the 3-month participant and 3-month average template, specificity values were computed using a single input head model. For the 3-month average, the mean specificity value for each channel was calculated by averaging the sensitivity values for each ROI across participants at age 3-month ( N = 38 ). The mean value was then divided by the sum of averaged sensitivity for all ROIs. Detailed computation procedures are described in Sec. . The specificity threshold was set to 15%. The 10–10 maps above were generated by the devfOLD toolbox.

Article Snippet: We tested the devfOLD toolbox on all MATLAB OS platforms (Windows 2020b, Mac OSX 2020b, Linux 2020a, Windows, and Mac OSX MATLAB online).

Techniques: Generated

The number of channels sensitive to the brain ROIs in the LPBA40 atlas by age groups. The average age group specificity estimations for the 3-month, 6-month, and 20- to 24-year groups provided in the devfOLD toolbox are compared with the estimations from an adult template (SPM12) provided in the fOLD toolbox. Channels with specificity (a) greater than 1% and (b) 15% are included.

Journal: Neurophotonics

Article Title: devfOLD: a toolbox for designing age-specific fNIRS channel placement

doi: 10.1117/1.NPh.8.4.045003

Figure Lengend Snippet: The number of channels sensitive to the brain ROIs in the LPBA40 atlas by age groups. The average age group specificity estimations for the 3-month, 6-month, and 20- to 24-year groups provided in the devfOLD toolbox are compared with the estimations from an adult template (SPM12) provided in the fOLD toolbox. Channels with specificity (a) greater than 1% and (b) 15% are included.

Article Snippet: We tested the devfOLD toolbox on all MATLAB OS platforms (Windows 2020b, Mac OSX 2020b, Linux 2020a, Windows, and Mac OSX MATLAB online).

Techniques:

Source–detector channel configurations for the LIFG and the LSOG. The channel-to-ROI specificity for 3-month, 6-month, and 20- to 24-year age groups was estimated by averaging age group results computed from individual head models. The specificity threshold was set to 15%. (a) 2D displays of the channel arrangements from the devfOLD toolbox. The channel arrangement for the LIFG is identical for all groups. (b) 3D displays of the channel configurations for the LIFG (top row) and the LSOG (bottom row). Channels F7-F5, AF7-F5, FC5-F5 mapped to the LIFG and channel POz-PO3 mapped to the LSOG were bolded as they have specificity values greater than 50% for all age groups (also see <xref ref-type=Fig. 10 ). Channels are displayed on age-specific average brain templates. " width="100%" height="100%">

Journal: Neurophotonics

Article Title: devfOLD: a toolbox for designing age-specific fNIRS channel placement

doi: 10.1117/1.NPh.8.4.045003

Figure Lengend Snippet: Source–detector channel configurations for the LIFG and the LSOG. The channel-to-ROI specificity for 3-month, 6-month, and 20- to 24-year age groups was estimated by averaging age group results computed from individual head models. The specificity threshold was set to 15%. (a) 2D displays of the channel arrangements from the devfOLD toolbox. The channel arrangement for the LIFG is identical for all groups. (b) 3D displays of the channel configurations for the LIFG (top row) and the LSOG (bottom row). Channels F7-F5, AF7-F5, FC5-F5 mapped to the LIFG and channel POz-PO3 mapped to the LSOG were bolded as they have specificity values greater than 50% for all age groups (also see Fig. 10 ). Channels are displayed on age-specific average brain templates.

Article Snippet: We tested the devfOLD toolbox on all MATLAB OS platforms (Windows 2020b, Mac OSX 2020b, Linux 2020a, Windows, and Mac OSX MATLAB online).

Techniques:

GUI of the developmental fNIRS Optodes” Location Decider, devfOLD toolbox. (a) Main GUI that displays channel positions for user-selected ROI. In the example, the “Precentral_L” ROI from the AAL3 atlas was selected with specificity (%) > 10 for the “Adult” (20 to 24 years) age group. (b) Illustration of the content in the “Summary” tab for the ROI and specificity specification. Specificity and channel information are organized into the “Landmarks,” “Channels,” and “Sources and Detectors” subtabs.

Journal: Neurophotonics

Article Title: devfOLD: a toolbox for designing age-specific fNIRS channel placement

doi: 10.1117/1.NPh.8.4.045003

Figure Lengend Snippet: GUI of the developmental fNIRS Optodes” Location Decider, devfOLD toolbox. (a) Main GUI that displays channel positions for user-selected ROI. In the example, the “Precentral_L” ROI from the AAL3 atlas was selected with specificity (%) > 10 for the “Adult” (20 to 24 years) age group. (b) Illustration of the content in the “Summary” tab for the ROI and specificity specification. Specificity and channel information are organized into the “Landmarks,” “Channels,” and “Sources and Detectors” subtabs.

Article Snippet: This study presents the devfOLD MATLAB toolbox.

Techniques:

Source–detector channel configurations for the LIFG for 3 months of age. This is an example demonstrating that the devfOLD toolbox can be used to display channel placements estimated using an individual participant’s head model, an age-matched average template, or by averaging age group results computed from individual head models. For the 3-month participant and 3-month average template, specificity values were computed using a single input head model. For the 3-month average, the mean specificity value for each channel was calculated by averaging the sensitivity values for each ROI across participants at age 3-month ( N = 38 ). The mean value was then divided by the sum of averaged sensitivity for all ROIs. Detailed computation procedures are described in Sec. . The specificity threshold was set to 15%. The 10–10 maps above were generated by the devfOLD toolbox.

Journal: Neurophotonics

Article Title: devfOLD: a toolbox for designing age-specific fNIRS channel placement

doi: 10.1117/1.NPh.8.4.045003

Figure Lengend Snippet: Source–detector channel configurations for the LIFG for 3 months of age. This is an example demonstrating that the devfOLD toolbox can be used to display channel placements estimated using an individual participant’s head model, an age-matched average template, or by averaging age group results computed from individual head models. For the 3-month participant and 3-month average template, specificity values were computed using a single input head model. For the 3-month average, the mean specificity value for each channel was calculated by averaging the sensitivity values for each ROI across participants at age 3-month ( N = 38 ). The mean value was then divided by the sum of averaged sensitivity for all ROIs. Detailed computation procedures are described in Sec. . The specificity threshold was set to 15%. The 10–10 maps above were generated by the devfOLD toolbox.

Article Snippet: This study presents the devfOLD MATLAB toolbox.

Techniques: Generated

The number of channels sensitive to the brain ROIs in the LPBA40 atlas by age groups. The average age group specificity estimations for the 3-month, 6-month, and 20- to 24-year groups provided in the devfOLD toolbox are compared with the estimations from an adult template (SPM12) provided in the fOLD toolbox. Channels with specificity (a) greater than 1% and (b) 15% are included.

Journal: Neurophotonics

Article Title: devfOLD: a toolbox for designing age-specific fNIRS channel placement

doi: 10.1117/1.NPh.8.4.045003

Figure Lengend Snippet: The number of channels sensitive to the brain ROIs in the LPBA40 atlas by age groups. The average age group specificity estimations for the 3-month, 6-month, and 20- to 24-year groups provided in the devfOLD toolbox are compared with the estimations from an adult template (SPM12) provided in the fOLD toolbox. Channels with specificity (a) greater than 1% and (b) 15% are included.

Article Snippet: This study presents the devfOLD MATLAB toolbox.

Techniques:

Source–detector channel configurations for the LIFG and the LSOG. The channel-to-ROI specificity for 3-month, 6-month, and 20- to 24-year age groups was estimated by averaging age group results computed from individual head models. The specificity threshold was set to 15%. (a) 2D displays of the channel arrangements from the devfOLD toolbox. The channel arrangement for the LIFG is identical for all groups. (b) 3D displays of the channel configurations for the LIFG (top row) and the LSOG (bottom row). Channels F7-F5, AF7-F5, FC5-F5 mapped to the LIFG and channel POz-PO3 mapped to the LSOG were bolded as they have specificity values greater than 50% for all age groups (also see <xref ref-type=Fig. 10 ). Channels are displayed on age-specific average brain templates. " width="100%" height="100%">

Journal: Neurophotonics

Article Title: devfOLD: a toolbox for designing age-specific fNIRS channel placement

doi: 10.1117/1.NPh.8.4.045003

Figure Lengend Snippet: Source–detector channel configurations for the LIFG and the LSOG. The channel-to-ROI specificity for 3-month, 6-month, and 20- to 24-year age groups was estimated by averaging age group results computed from individual head models. The specificity threshold was set to 15%. (a) 2D displays of the channel arrangements from the devfOLD toolbox. The channel arrangement for the LIFG is identical for all groups. (b) 3D displays of the channel configurations for the LIFG (top row) and the LSOG (bottom row). Channels F7-F5, AF7-F5, FC5-F5 mapped to the LIFG and channel POz-PO3 mapped to the LSOG were bolded as they have specificity values greater than 50% for all age groups (also see Fig. 10 ). Channels are displayed on age-specific average brain templates.

Article Snippet: This study presents the devfOLD MATLAB toolbox.

Techniques: