Supplementary Material s124

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Supplementary material

Figure S. 1 Visualization of eye tracking raw data, in a control participant during the antissaccade (AS) task, using the Scan Path, Line Graph, and Heat Map tools of the BeGaze software

Table S. 1 Classifier's performance for each feature of the prosaccade (PS) task: Mean (SD)

Classifier
Features / CTRL vs. pre-HD / CTRL vs. HD / pre-HD vs. HD
Acc. / Sens. / Spec. / Acc. / Sens. / Spec. / Acc. / Sens. / Spec.
AE / 0.44 / 0.77 / 0.12 / 0.71 / 0.84 / 0.57 / 0.72 / 0.88 / 0.56
(0.07) / (0.13) / (0.14) / (0.04) / (0.07) / (0.05) / (*) / (*) / (*)
DE / 0.49 / 0.89 / 0.10 / 0.69 / 0.86 / 0.52 / 0.64 / 0.78 / 0.50
(0.04) / (0.05) / (0.06) / (0.04) / (0.05) / (0.07) / (*) / (*) / (*)
ER / 0.44 / 0.93 / 0.01 / 0.65 / 0.91 / 0.39 / 0.50 / 0.00 / 0.99
(0.02) / (0.03) / (0.03) / (0.05) / (0.06) / (0.06) / (*) / (*) / (*)
EL / 0.48 / 0.93 / 0.03 / 0.73 / 0.96 / 0.50 / 0.69 / 0.94 / 0.44
(0.02) / (0.03) / (0.04) / (0.03) / (0.04) / (0.05) / (*) / (*) / (*)
NS / 0.51 / 0.14 / 0.89 / 0.46 / 0.81 / 0.11 / 0.56 / 1.00 / 0.11
(0.06) / (0.16) / (0.21) / (0.08) / (0.17) / (0.09)
SL / 0.43 / 0.43 / 0.43 / 0.62 / 0.72 / 0.52 / 0.68 / 0.80 / 0.56
(0.13) / (0.19) / (0.12) / (0.05) / (0.09) / (0.06) / (*) / (*) / (*)
DSL / 0.58 / 0.79 / 0.36 / 0.58 / 0.74 / 0.41 / 0.30 / 0.16 / 0.43
(0.05) / (0.09) / (0.06) / (0.08) / (0.10) / (0.07) / (*) / (*) / (*)
DSD / 0.59 / 0.55 / 0.63 / 0.45 / 0.74 / 0.16 / 0.41 / 0.76 / 0.05
(0.08) / (0.13) / (0.07) / (0.07) / (0.09) / (0.17) / (*) / (*) / (*)
DSL_end / 0.56 / 0.77 / 0.36 / 0.66 / 0.74 / 0.57 / 0.56 / 0.67 / 0.44
(0.05) / (0.08) / (0.05) / (0.05) / (0.08) / (0.05) / (*) / (*) / (*)
FE / 0.52 / 0.05 / 1.00 / 0.77 / 0.87 / 0.68 / 0.75 / 0.82 / 0.68
(0.01) / (0.02) / (0.00) / (0.05) / (0.06) / (0.08) / (*) / (*) / (*)
FD / 0.51 / 0.03 / 1.00 / 0.61 / 0.74 / 0.48 / 0.48 / 0.60 / 0.36
(0.01) / (0.02) / (0.00) / (0.07) / (0.07) / (0.11) / (*) / (*) / (*)

The standard deviations (SDs) associated with the mean accuracy (Acc.), sensitivity (Sens.) and specificity (Spec.) of each classifier were calculated for the 10% of possible combinations randomly selected for the PS task.

* The SDs could not be determined for the pre-HD vs. HD classifier; after application of the exclusion criteria (see Table 2) only one combination was possible between the pre-HD and HD groups.

Table S. 2 Classifier's performance for each feature of the antisaccade (AS) task: Mean (SD)

Classifier
Features / CTRL vs. pre-HD / CTRL vs. HD / pre-HD vs. HD
Acc. / Sens. / Spec. / Acc. / Sens. / Spec. / Acc. / Sens. / Spec.
AE / 0.56 / 0.88 / 0.24 / 0.61 / 0.76 / 0.47 / 0.44 / 0.82 / 0.06
(0.04) / (0.05) / (0.07) / (0.14) / (0.09) / (0.22) / (0.06) / (0.09) / (0.12)
DE / 0.65 / 0.80 / 0.49 / 0.71 / 0.78 / 0.63 / 0.48 / 0.59 / 0.38
(0.06) / (0.06) / (0.09) / (0.09) / (0.10) / (0.12) / (0.14) / (0.18) / (0.11)
ER / 0.53 / 0.54 / 0.52 / 0.54 / 0.58 / 0.50 / 0.42 / 0.52 / 0.33
(0.11) / (0.44) / (0.28) / (0.13) / (0.27) / (0.18) / (0.14) / (0.31) / (0.18)
EL / 0.47 / 0.16 / 0.77 / 0.45 / 0.75 / 0.14 / 0.46 / 0.84 / 0.08
(0.03) / (0.30) / (0.31) / (0.08) / (0.23) / (0.16) / (0.08) / (0.10) / (0.07)
NS / 0.64 / 0.80 / 0.48 / 0.47 / 0.39 / 0.55 / 0.51 / 0.53 / 0.49
(0.05) / (0.07) / (0.07) / (0.16) / (0.27) / (0.14) / (0.13) / (0.18) / (0.19)
SL / 0.48 / 0.36 / 0.61 / 0.49 / 0.68 / 0.30 / 0.59 / 0.69 / 0.49
(0.11) / (0.19) / (0.16) / (0.12) / (0.11) / (0.24) / (0.12) / (0.09) / (0.23)
DSL / 0.51 / 0.35 / 0.68 / 0.68 / 0.71 / 0.65 / 0.75 / 0.71 / 0.78
(0.09) / (0.12) / (0.11) / (0.10) / (0.11) / (0.13) / (0.09) / (0.11) / (0.10)
DSD / 0.51 / 0.75 / 0.28 / 0.52 / 0.78 / 0.26 / 0.44 / 0.67 / 0.20
(0.07) / (0.08) / (0.10) / (0.09) / (0.12) / (0.10) / (0.10) / (0.19) / (0.11)
DSL_end / 0.57 / 0.74 / 0.40 / 0.67 / 0.74 / 0.60 / 0.44 / 0.58 / 0.30
(0.05) / (0.06) / (0.06) / (0.10) / (0.10) / (0.17) / (0.10) / (0.10) / (0.15)
FE / 0.67 / 0.85 / 0.49 / 0.80 / 0.84 / 0.76 / 0.55 / 0.70 / 0.40
(0.04) / (0.06) / (0.06) / (0.13) / (0.11) / (0.18) / (0.07) / (0.09) / (0.11)
FD / 0.56 / 0.43 / 0.69 / 0.54 / 0.55 / 0.53 / 0.41 / 0.41 / 0.41
(0.09) / (0.13) / (0.16) / (0.11) / (0.18) / (0.13) / (0.11) / (0.24) / (0.18)

The standard deviations (SDs) associated with the mean accuracy (Acc.), sensitivity (Sens.) and specificity (Spec.) of each classifier were calculated for the 10% of possible combinations randomly selected for the AS task.

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Table S. 3 Classifier's performance for each feature of the 1- or 2-back memory prosaccade (MPS) task: Mean (SD)

Classifier
Features / CTRL vs. pre-HD / CTRL vs. HD / pre-HD vs. HD
Acc. / Sens. / Spec. / Acc. / Sens. / Spec. / Acc. / Sens. / Spec.
AE / 0.44 / 0.30 / 0.58 / 0.74 / 0.86 / 0.62 / 0.78 / 0.85 / 0.70
(0.05) / (0.34) / (0.33) / (0.10) / (0.07) / (0.15) / (0.09) / (0.07) / (0.12)
DE / 0.46 / 0.50 / 0.41 / 0.68 / 0.75 / 0.61 / 0.66 / 0.81 / 0.52
(0.05) / (0.30) / (0.28) / (0.07) / (0.09) / (0.11) / (0.05) / (0.08) / (0.09)
ER / 0.49 / 0.30 / 0.68 / 0.60 / 0.52 / 0.67 / 0.63 / 0.73 / 0.54
(0.06) / (0.39) / (0.34) / (0.12) / (0.37) / (0.16) / (0.07) / (0.12) / (0.06)
EL / 0.45 / 0.82 / 0.07 / 0.65 / 0.86 / 0.44 / 0.62 / 0.85 / 0.40
(0.06) / (0.15) / (0.12) / (0.07) / (0.07) / (0.11) / (0.08) / (0.07) / (0.11)
NS / 0.43 / 0.42 / 0.44 / 0.64 / 0.84 / 0.44 / 0.66 / 0.87 / 0.44
(0.14) / (0.18) / (0.21) / (0.06) / (0.10) / (0.05) / (0.05) / (0.08) / (0.05)
SL / 0.46 / 0.58 / 0.35 / 0.46 / 0.58 / 0.33 / 0.50 / 0.51 / 0.49
(0.11) / (0.15) / (0.14) / (0.16) / (0.22) / (0.15) / (0.06) / (0.12) / (0.06)
DSL / 0.49 / 0.33 / 0.64 / 0.55 / 0.71 / 0.40 / 0.64 / 0.78 / 0.50
(0.10) / (0.17) / (0.22) / (0.12) / (0.15) / (0.12) / (0.05) / (0.06) / (0.08)
DSD / 0.46 / 0.63 / 0.28 / 0.66 / 0.78 / 0.54 / 0.61 / 0.74 / 0.49
(0.10) / (0.25) / (0.13) / (0.09) / (0.11) / (0.13) / (0.08) / (0.08) / (0.14)
DSL_end / 0.40 / 0.22 / 0.59 / 0.77 / 0.77 / 0.78 / 0.78 / 0.78 / 0.78
(0.08) / (0.17) / (0.15) / (0.06) / (0.12) / (0.05) / (0.05) / (0.09) / (0.05)
FE / 0.43 / 0.51 / 0.35 / 0.73 / 0.82 / 0.65 / 0.74 / 0.85 / 0.63
(0.09) / (0.32) / (0.25) / (0.08) / (0.08) / (0.10) / (0.06) / (0.07) / (0.06)
FD / 0.41 / 0.44 / 0.38 / 0.42 / 0.38 / 0.45 / 0.43 / 0.41 / 0.45
(0.12) / (0.20) / (0.15) / (0.13) / (0.18) / (0.14) / (0.12) / (0.16) / (0.14)

The standard deviations (SDs) associated with the accuracy (Acc.), sensitivity (Sens.) and specificity (Spec.) of each classifier were calculated for the 10% of possible combinations randomly selected for the MPS task.

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Table S. 4 Classifier's performance for each feature of the 1- or 2-back memory antisaccade (MAS) task: Mean (SD)

Classifier
Features / CTRL vs. pre-HD / CTRL vs. HD / pre-HD vs. HD
Acc. / Sens. / Spec. / Acc. / Sens. / Spec. / Acc. / Sens. / Spec.
AE / 0.49 / 0.23 / 0.75 / 0.79 / 0.86 / 0.72 / 0.84 / 0.93 / 0.74
(0.07) / (0.27) / (0.28) / (0.07) / (0.10) / (0.07) / (0.04) / (0.06) / (0.05)
DE / 0.58 / 0.78 / 0.38 / 0.82 / 0.76 / 0.87 / 0.75 / 0.64 / 0.86
(0.06) / (0.07) / (0.08) / (0.06) / (0.12) / (0.03) / (0.08) / (0.12) / (0.06)
ER / 0.44 / 0.48 / 0.40 / 0.61 / 0.63 / 0.58 / 0.53 / 0.72 / 0.35
(0.04) / (0.05) / (0.04) / (0.18) / (0.20) / (0.23) / (0.14) / (0.12) / (0.18)
EL / 0.44 / 0.27 / 0.61 / 0.77 / 0.64 / 0.89 / 0.58 / 0.22 / 0.95
(0.07) / (0.22) / (0.25) / (0.09) / (0.17) / (0.05) / (0.09) / (0.14) / (0.10)
NS / 0.53 / 0.92 / 0.15 / 0.69 / 1.00 / 0.37 / 0.64 / 0.92 / 0.35
(0.03) / (0.05) / (0.04) / (0.02) / (0.00) / (0.05) / (0.05) / (0.07) / (0.06)
SL / 0.73 / 0.74 / 0.73 / 0.74 / 0.69 / 0.78 / 0.45 / 0.27 / 0.64
(0.05) / (0.07) / (0.07) / (0.09) / (0.12) / (0.11) / (0.12) / (0.22) / (0.13)
DSL / 0.63 / 0.70 / 0.56 / 0.56 / 0.50 / 0.61 / 0.42 / 0.38 / 0.46
(0.05) / (0.13) / (0.07) / (0.11) / (0.19) / (0.15) / (0.12) / (0.21) / (0.10)
DSD / 0.54 / 0.76 / 0.32 / 0.55 / 0.76 / 0.35 / 0.59 / 0.67 / 0.51
(0.10) / (0.09) / (0.17) / (0.06) / (0.14) / (0.16) / (0.07) / (0.10) / (0.15)
DSL_end / 0.52 / 0.86 / 0.17 / 0.75 / 0.81 / 0.70 / 0.52 / 0.57 / 0.46
(0.07) / (0.06) / (0.10) / (0.07) / (0.09) / (0.08) / (0.16) / (0.23) / (0.21)
FE / 0.58 / 0.75 / 0.40 / 0.73 / 0.90 / 0.57 / 0.67 / 0.85 / 0.50
(0.09) / (0.09) / (0.19) / (0.07) / (0.07) / (0.10) / (0.05) / (0.08) / (0.05)
FD / 0.51 / 0.49 / 0.54 / 0.51 / 0.46 / 0.56 / 0.39 / 0.40 / 0.38
(0.12) / (0.20) / (0.19) / (0.10) / (0.16) / (0.12) / (0.06) / (0.14) / (0.08)

The standard deviations (SDs) associated with the accuracy (Acc.), sensitivity (Sens.) and specificity (Spec.) of each classifier were calculated for the 10% of possible combinations randomly selected for the MAS task.

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Table S. 5 Classifier´s performance with different combinations of features from the PS and AS tasks: Mean (SEM)

Classifier
Features / CTRL vs. pre-HD / CTRL vs. HD / pre-HD vs. HD
Acc. / Sens. / Spec. / Acc. / Sens. / Spec. / Acc. / Sens. / Spec.
DE_PS +
DE_AS / 0.62 / 0.72 / 0.52 / 0.68 / 0.76 / 0.61 / 0.45 / 0.45 / 0.45
(0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00)
FE_PS +
DSL_AS / 0.61 / 0.61 / 0.61 / 0.76 / 0.79 / 0.73 / 0.74 / 0.77 / 0.71
(0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00)
FE_PS +
FE_AS / 0.68 / 0.73 / 0.62 / 0.80 / 0.81 / 0.79 / 0.79 / 0.92 / 0.67
(0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00)
EL_PS +
DE_AS / 0.62 / 0.76 / 0.49 / 0.64 / 0.79 / 0.49 / 0.55 / 0.74 / 0.37
(0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00)
AE_PS +
DSL_AS / 0.50 / 0.43 / 0.56 / 0.56 / 0.71 / 0.42 / 0.70 / 0.73 / 0.68
(0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00)
DSD_PS +
FE_AS / 0.64 / 0.70 / 0.57 / 0.72 / 0.83 / 0.61 / 0.68 / 0.87 / 0.49
(0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00)
DSD_PS +
DE_AS / 0.60 / 0.62 / 0.59 / 0.66 / 0.81 / 0.52 / 0.71 / 0.92 / 0.50
(0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00)

The standard errors of the mean (SEMs) associated with the mean accuracy (Acc.), sensitivity (Sens.) and specificity (Spec.) of each classifier were calculated for the 10% of possible combinations randomly selected for AS task (see Table 2).

Table S. 6 Classifier´s performance with different combinations of features from the MPS and MAS tasks: Mean (SEM)

Classifier
Features / CTRL vs. pre-HD / CTRL vs. HD / pre-HD vs. HD
Acc. / Sens. / Spec. / Acc. / Sens. / Spec. / Acc. / Sens. / Spec.
DSL_end_MPS + DE_MAS / 0.52 / 0.67 / 0.37 / 0.79 / 0.78 / 0.80 / 0.73 / 0.68 / 0.77
(0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00)
DSL_end_MPS +
AE_MAS / 0.46 / 0.22 / 0.71 / 0.73 / 0.80 / 0.66 / 0.74 / 0.84 / 0.64
(0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00)
DSL_end_MPS +
DSL_end_MAS / 0.47 / 0.63 / 0.30 / 0.74 / 0.78 / 0.70 / 0.76 / 0.74 / 0.77
(0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00)
DE_MPS +
SL_MAS / 0.72 / 0.71 / 0.74 / 0.72 / 0.71 / 0.74 / 0.62 / 0.71 / 0.52
(0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00)
DE_MPS +
DE_MAS / 0.54 / 0.69 / 0.39 / 0.76 / 0.72 / 0.81 / 0.65 / 0.70 / 0.60
(0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00) / (0.00)

The standard errors of the mean (SEMs) associated with the accuracy (Acc.), sensitivity (Sens.) and specificity (Spec.) of each classifier were calculated for the 10% of possible combinations randomly selected for the MAS task (see Table 2).

Table S. 7 Mean (SD) values of oculomotor features obtained for the prosaccade (PS) task and the antisaccade (AS) task

Tasks
Features / Prosaccade / Antisaccade
CTRL / Pre-HD / HD / CTRL / Pre-HD / HD
AE / 2.82 / 3.68 / 10.43 / 0.92 / 2.89 / 7.11
(3.51) / (4.44) / (8.54) / (1.31) / (4.25) / (12.80)
DE / 0.61 / 1.47 / 4.92 / 11.50 / 19.75 / 22.04
(1.08) / (2.78) / (8.18) / (9.23) / (14.27) / (11.31)
ER / 0.45 / 1.57 / 1.23 / 4.09 / 4.61 / 6.15
(1.52) / (5.67 / (1.50) / (9.63) / (6.33) / (6.30)
EL / 0.08 / 0.30 / 1.25 / 1.02 / 0.39 / 0.56
(0.35) / (1.07) / (1.41) / (3.05) / (1.05) / (1.24)
NS / 1.07 / 1.04 / 1.10 / 1.52 / 1.66 / 1.59
(0.12) / (0.06) / (0.16) / (0.29) / (0.25) / (0.18)
SL / 226.23 / 233.50 / 244.94 / 325.62 / 317.34 / 342.47
(34.65) / (38.91) / (49.30) / (70.93) / (50.47) / (44.53)
FE / 6.23 / 10.32 / 29.17 / 8.00 / 14.11 / 23.70
(6.24) / (8.91) / (17.42) / (11.18) / (9.72) / (18.24)
FD / 673.03 / 699.35 / 464.96 / 710.75 / 617.57 / 574.01
(305.66) / (203.07) / (198.50) / (239.77) / (230.90) / (207.90)

The standard errors of the mean (SEMs) associated with the accuracy (Acc.), sensitivity (Sens.) and specificity (Spec.) of each classifier were calculated for the 10% of possible combinations randomly selected for the PS and AS tasks, respectively.

Table S. 8 Dispersion (ms) of oculomotor features calculated for the prosaccade task and the antisaccade task

Tasks
Features / Prosaccade / Antisaccade
CTRL / pre-HD / HD / CTRL / pre-HD / HD
DSL / 72.00 / 97.00 / 84.00 / 114.00 / 92.00 / 131.00
DSD / 21.00 / 21.00 / 21.00 / 25.00 / 25.00 / 29.00
DSL_end / 75.00 / 97.00 / 114.00 / 190.00 / 202.00 / 227.00

The dispersion of the oculomotor features corresponds to the interquartile range of all valid trials, for the participants included in each group.