Publications by SIC01, SIC02, SIC03

White Matter and Cognitive Trajectory Models in a densely sampled participant with TBI

03.12.2024

Dense Sampling of Single Participant (Participant01) Notes Figure 1-mixed model a,b,c,d - a, c=>mixed models Figure 2- cog and emotion Figure 3-dbsi-mixed model + individual tract Figure 4 Mixed Model effects for all participants Not as dense evaluation Figure 5- one year follow-up Right Cingulum Bundle is significant for all dBSI metrics. Conside...

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Comprehensive Profile of White Matter Changes in Relatively Sparsely Sampled TBI Participant (ID: #02)

02.12.2024

Measures DTI FA Trajectory Model WeeksSinceTBI_z | Tract: This tells the model to allow each tract to have its own slope for WeeksSinceTBI. Both the intercept and the slope can vary between tracts. We find that model with random slope leads to a boundary singular fit. Therefore, we go with the intercept model only (i.e., 1 | Tract) mixed.model_...

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DTI Trajectory and Mediation Models in Densely Sampled Healthy Young Adult

26.11.2024

Measures DTI FA Trajectory Model WeeksSinceTBI_z | Tract: This tells the model to allow each tract to have its own slope for WeeksSinceTBI. Both the intercept and the slope can vary between tracts. We find that model with random slope leads to a boundary singular fit. Therefore, we go with the intercept model only (i.e., 1 | Tract) mixed.model_...

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Sample Cognitive Data for TBIPFM Participants

21.11.2024

Participant TBI ID: 05 Antisaccade Trial Level days weekSinceInj_label weekSinceInj_num Trial Number Trial Type Accuracy Trimmed RT 1 Week1 1 1 Correct 1 2020 1 Week1 1 2 Incorrect 0 1627 1 Week1 1 3 Incorrect 0 1965 60 Week9 9 54 Correct 1 572 60 Week9 9 55 Correct 1 872 60 Week9 9 56 Correct 1 966 Session Level weekSinceInj_num ANTISACC_Me...

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Comprehensive Profile of White Matter Changes Following Traumatic Brain Injury in a Densely Sampled Participant

23.10.2024

Dense Sampling of Single Participant (Participant01) Data Snapshot DaysSinceTBI WeeksSinceTBI_label WeeksSinceTBI Tract FA AD RD MD fiber_ratio_map fiber1_ratio_map fiber2_ratio_map fiber3_ratio_map cell_ratio_map water_ratio_map perfusion_ratio_map hind_ratio_map Dep_BDI Anx_BAI GNG_MeanTrimmedCorrectGoRT GNG_GoTrialAccuracy GNG_MeanTrimmedNoGoR...

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White Matter Changes Following TBI

14.10.2024

Dense Sampling of Single Participant (Participant01) Data Snapshot DaysSinceTBI WeeksSinceTBI_label WeeksSinceTBI Tract FA AD RD MD fiber_ratio_map fiber1_ratio_map fiber2_ratio_map fiber3_ratio_map cell_ratio_map water_ratio_map perfusion_ratio_map hind_ratio_map Dep_BDI Anx_BAI GNG_MeanTrimmedCorrectGoRT GNG_GoTrialAccuracy GNG_MeanTrimmedNoGoR...

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Dense Assessment of Diffusion and Inflammation Metrics following TBI

10.10.2024

Dense Sampling of Single Participant Data Snapshot WeekSinceTBI HeadMotion Tract WMIntegrity 1 1.15 forceps major 0.5825151 2 0.72 forceps major 0.5885705 3 0.49 forceps major 0.5864496 4 1.47 forceps major 0.5795322 5 1.77 forceps major 0.5786018 6 0.58 forceps major 0.5813590 1 1.15 left cing 0.5991285 2 0.72 left cing 0.5998091 3 0.49 left ci...

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Pilot Analyses: Time Since Brain Injury-Mood-FA

25.01.2024

Pilot Analyses Trajectory Depression MODEL model1 <- lm(Dep_BDI ~ Time.since.injury, data=tbi1) model2 <- lm(Dep_BDI ~ Time.since.injury + I(Time.since.injury^2), data=tbi1) SUMMARY Dep_LinearModel Dep_QuadraticModel Predictors Estimates CI p Estimates CI p (Intercept) 25.99 24.57 – 27.41 <0.001 35.84 34.19 – 37.48 <0.001...

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TBIPFM FA and Qs

16.01.2024

References Burnham & Anderson, Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach, and Burnham & Anderson, “Multimodel Inference: Understanding AIC and BIC in Model Selection” (2004, Sociological Methods & Research) https://stats.stackexchange.com/questions/409537/how-to-include-an-interaction-with-a-quadrati...

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K23_TBI_DepAnx_PilotData

05.01.2024

References Burnham & Anderson, Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach, and Burnham & Anderson, “Multimodel Inference: Understanding AIC and BIC in Model Selection” (2004, Sociological Methods & Research) Participant TBIPFM01 Tract All Depression MODEL model1 <- lm(Dep_BDI ~ Time.since.injury, ...

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