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silhouette.m function in  (MathWorks Inc)


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    MathWorks Inc silhouette.m function in
    Evolution of pre- vs. post-ECT <t>silhouette</t> scores across sessions (days). (A) Individual session examples of high (upper panel) and low (lower panel) silhouette scores for data comparing 10 min immediately before vs. after ECT. Note the clear separation between nearly all pre-stimulation data points (turquoise to blue) and post-stimulation data points (red to orange) in the upper panel, suggesting an immediate and persistent difference in the scalp EEG linelength measure (surrogate for epileptiform activity) after ECT is delivered. Data in the lower panel is largely overlapping, suggesting poor separability and thus minimal no change related to ECT during this session. (B) Silhouette scores for all evaluated sessions across patients.
    Silhouette.M Function In, 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/silhouette.m function in/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    silhouette.m function in - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "Quantitative evaluation of electrographic response to electroconvulsive therapy in super-refractory status epilepticus"

    Article Title: Quantitative evaluation of electrographic response to electroconvulsive therapy in super-refractory status epilepticus

    Journal: Frontiers in Neurology

    doi: 10.3389/fneur.2024.1493336

    Evolution of pre- vs. post-ECT silhouette scores across sessions (days). (A) Individual session examples of high (upper panel) and low (lower panel) silhouette scores for data comparing 10 min immediately before vs. after ECT. Note the clear separation between nearly all pre-stimulation data points (turquoise to blue) and post-stimulation data points (red to orange) in the upper panel, suggesting an immediate and persistent difference in the scalp EEG linelength measure (surrogate for epileptiform activity) after ECT is delivered. Data in the lower panel is largely overlapping, suggesting poor separability and thus minimal no change related to ECT during this session. (B) Silhouette scores for all evaluated sessions across patients.
    Figure Legend Snippet: Evolution of pre- vs. post-ECT silhouette scores across sessions (days). (A) Individual session examples of high (upper panel) and low (lower panel) silhouette scores for data comparing 10 min immediately before vs. after ECT. Note the clear separation between nearly all pre-stimulation data points (turquoise to blue) and post-stimulation data points (red to orange) in the upper panel, suggesting an immediate and persistent difference in the scalp EEG linelength measure (surrogate for epileptiform activity) after ECT is delivered. Data in the lower panel is largely overlapping, suggesting poor separability and thus minimal no change related to ECT during this session. (B) Silhouette scores for all evaluated sessions across patients.

    Techniques Used: Activity Assay

    Evolution of pre- vs. post-ECT silhouette scores up to 60 min immediately post-ECT. (A) Schematic of analysis in panel (B,C) in which, for each session, consecutive 5-min periods of data are each compared to the same baseline of 5 min immediately preceding ECT. (B) Silhouette scores for each session (gray traces) of an example patient (Pt 3) illustrating the estimated separability between pre-ECT segment [blue period in panel (A) ] vs. post-ECT segments over time [consecutive red-orange segments in panel (A) ]. Green traces illustrate the average of all sessions for this patient. (C) Silhouette score means (across sessions) similar to green trace in panel (A) , shown for all patients (note Pt 1 and Pt 7 restricted to 5-min mark due to limited post-ECT data across sessions, ).
    Figure Legend Snippet: Evolution of pre- vs. post-ECT silhouette scores up to 60 min immediately post-ECT. (A) Schematic of analysis in panel (B,C) in which, for each session, consecutive 5-min periods of data are each compared to the same baseline of 5 min immediately preceding ECT. (B) Silhouette scores for each session (gray traces) of an example patient (Pt 3) illustrating the estimated separability between pre-ECT segment [blue period in panel (A) ] vs. post-ECT segments over time [consecutive red-orange segments in panel (A) ]. Green traces illustrate the average of all sessions for this patient. (C) Silhouette score means (across sessions) similar to green trace in panel (A) , shown for all patients (note Pt 1 and Pt 7 restricted to 5-min mark due to limited post-ECT data across sessions, ).

    Techniques Used:



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    Evolution of pre- vs. post-ECT <t>silhouette</t> scores across sessions (days). (A) Individual session examples of high (upper panel) and low (lower panel) silhouette scores for data comparing 10 min immediately before vs. after ECT. Note the clear separation between nearly all pre-stimulation data points (turquoise to blue) and post-stimulation data points (red to orange) in the upper panel, suggesting an immediate and persistent difference in the scalp EEG linelength measure (surrogate for epileptiform activity) after ECT is delivered. Data in the lower panel is largely overlapping, suggesting poor separability and thus minimal no change related to ECT during this session. (B) Silhouette scores for all evaluated sessions across patients.
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    Evolution of pre- vs. post-ECT <t>silhouette</t> scores across sessions (days). (A) Individual session examples of high (upper panel) and low (lower panel) silhouette scores for data comparing 10 min immediately before vs. after ECT. Note the clear separation between nearly all pre-stimulation data points (turquoise to blue) and post-stimulation data points (red to orange) in the upper panel, suggesting an immediate and persistent difference in the scalp EEG linelength measure (surrogate for epileptiform activity) after ECT is delivered. Data in the lower panel is largely overlapping, suggesting poor separability and thus minimal no change related to ECT during this session. (B) Silhouette scores for all evaluated sessions across patients.
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    Evolution of pre- vs. post-ECT silhouette scores across sessions (days). (A) Individual session examples of high (upper panel) and low (lower panel) silhouette scores for data comparing 10 min immediately before vs. after ECT. Note the clear separation between nearly all pre-stimulation data points (turquoise to blue) and post-stimulation data points (red to orange) in the upper panel, suggesting an immediate and persistent difference in the scalp EEG linelength measure (surrogate for epileptiform activity) after ECT is delivered. Data in the lower panel is largely overlapping, suggesting poor separability and thus minimal no change related to ECT during this session. (B) Silhouette scores for all evaluated sessions across patients.

    Journal: Frontiers in Neurology

    Article Title: Quantitative evaluation of electrographic response to electroconvulsive therapy in super-refractory status epilepticus

    doi: 10.3389/fneur.2024.1493336

    Figure Lengend Snippet: Evolution of pre- vs. post-ECT silhouette scores across sessions (days). (A) Individual session examples of high (upper panel) and low (lower panel) silhouette scores for data comparing 10 min immediately before vs. after ECT. Note the clear separation between nearly all pre-stimulation data points (turquoise to blue) and post-stimulation data points (red to orange) in the upper panel, suggesting an immediate and persistent difference in the scalp EEG linelength measure (surrogate for epileptiform activity) after ECT is delivered. Data in the lower panel is largely overlapping, suggesting poor separability and thus minimal no change related to ECT during this session. (B) Silhouette scores for all evaluated sessions across patients.

    Article Snippet: We calculated silhouette scores ( ) ( silhouette.m function in MATLAB) for each ECT session using these labels in order to quantify changes in the EEG data associated with ECT.

    Techniques: Activity Assay

    Evolution of pre- vs. post-ECT silhouette scores up to 60 min immediately post-ECT. (A) Schematic of analysis in panel (B,C) in which, for each session, consecutive 5-min periods of data are each compared to the same baseline of 5 min immediately preceding ECT. (B) Silhouette scores for each session (gray traces) of an example patient (Pt 3) illustrating the estimated separability between pre-ECT segment [blue period in panel (A) ] vs. post-ECT segments over time [consecutive red-orange segments in panel (A) ]. Green traces illustrate the average of all sessions for this patient. (C) Silhouette score means (across sessions) similar to green trace in panel (A) , shown for all patients (note Pt 1 and Pt 7 restricted to 5-min mark due to limited post-ECT data across sessions, ).

    Journal: Frontiers in Neurology

    Article Title: Quantitative evaluation of electrographic response to electroconvulsive therapy in super-refractory status epilepticus

    doi: 10.3389/fneur.2024.1493336

    Figure Lengend Snippet: Evolution of pre- vs. post-ECT silhouette scores up to 60 min immediately post-ECT. (A) Schematic of analysis in panel (B,C) in which, for each session, consecutive 5-min periods of data are each compared to the same baseline of 5 min immediately preceding ECT. (B) Silhouette scores for each session (gray traces) of an example patient (Pt 3) illustrating the estimated separability between pre-ECT segment [blue period in panel (A) ] vs. post-ECT segments over time [consecutive red-orange segments in panel (A) ]. Green traces illustrate the average of all sessions for this patient. (C) Silhouette score means (across sessions) similar to green trace in panel (A) , shown for all patients (note Pt 1 and Pt 7 restricted to 5-min mark due to limited post-ECT data across sessions, ).

    Article Snippet: We calculated silhouette scores ( ) ( silhouette.m function in MATLAB) for each ECT session using these labels in order to quantify changes in the EEG data associated with ECT.

    Techniques: