Demographic and clinical data of participants.

<p>Demographic and clinical data of participants.</p

Additional file 1: Table S1. of Survival prediction in Amyotrophic lateral sclerosis based on MRI measures and clinical characteristics

Coefficients estimates of each logistic ridge regression.Table S2. Clinical features. Demographic and clinical data of correctly and misclassified patients surviving less than 18 months of the training sample using a cut-off of 50% probability. Table S3. Clinical features. Demographic and clinical data of correctly and misclassified patients surviving >18 months of the training sample using a cut-off of 50% probability. Table S4. Clinical features. Demographic and clinical data of correctly and misclassified patients surviving <18 months of the validation sample using a cut-off of 50% probability. Table S5. Clinical features. Demographic and clinical data of correctly and misclassified patients surviving >18 months of the validation sample using a cut-off of 50% probability. Table S6. MRI features. Demographic and clinical data of correctly and misclassified patients surviving <18 months of the training sample using a cut-off of 50% probability. Table S7. MRI features. Demographic and clinical data of correctly and misclassified patients surviving >18 months of the training sample using a cut-off of 50% probability. Table S8. MRI features. Demographic and clinical data of correctly and misclassified patients surviving <18 months of the validation sample using a cut-off of 50% probability. Table S9. MRI features. Demographic and clinical data of correctly and misclassified patients surviving >18 months of the validation sample using a cut-off of 50% probability. Table S10. Clinical and MRI features. Demographic and clinical data of correctly and misclassified patients surviving <18 months of the training sample using a cut-off of 50% probability. Table S11. Clinical and MRI features. Demographic and clinical data of correctly and misclassified patients surviving >18 months of the training sample using a cut-off of 50% probability. Table S12. Clinical and MRI features. Demographic and clinical data of correctly and misclassified patients surviving <18 months of the validation sample using a cut-off of 50% probability. Table S13. Clinical and MRI features. Demographic and clinical data of correctly and misclassified patients surviving >18 months of the validation sample using a cut-off of 50% probability. (DOCX 39 kb

Classification accuracy in the follow-up validation sample.

<p>The probability of individual participant’s MRI data demonstrating ALS-specific change based on the classification algorithm. Patients with ALS are represented by filled circles, healthy controls by empty circles. Misclassified participants are displayed in red; correctly classified participants in green.</p

Comparison of correctly classified and misclassified ALS patients and controls in the validation sample.

<p>Comparison of correctly classified and misclassified ALS patients and controls in the validation sample.</p

Feature selection.

<p>Left (VBM): Grey matter. Affected cortical regions at p<0.15 FWE are displayed in red, and the corresponding anatomical label, the precentral gyrus is shown in green. Middle and Right (DTI): White matter. Factional anisotropy (FA—Top) and Radial diffusivity (RD–Bottom) group comparison results are shown in red at p<0.01 FEW-TFCE. The corresponding anatomical labels colour coded as follows: dark green—lateral fibres of the corona radiata, blue—body of the corpus callosum, turquoise—genu of the corpus callosum, purple–splenium of the corpus callosum, bright yellow–inferior corona radiata, green—internal capsule, beige—mesencephalic cruri of the cerebral peduncles, grey–inferior corticospinal tracts in the pons.</p

Classification accuracy in the validation sample.

<p>The probability of individual participant’s MRI data demonstrating ALS-specific change based on the classification algorithm. Patients with ALS are represented by filled circles, healthy controls by empty circles. Misclassified participants are displayed in red; correctly classified participants in green.</p

Comparison of correctly classified and misclassified ALS patients and controls in the training sample.

<p>Comparison of correctly classified and misclassified ALS patients and controls in the training sample.</p

The flowchart of the development and evaluation of the diagnostic classification protocol.

<p>The flowchart of the development and evaluation of the diagnostic classification protocol.</p

Timeliness of diagnosis in Motor Neurone Disease: a population-based study-0

<p><b>Copyright information:</b></p><p>Taken from "Timeliness of diagnosis in Motor Neurone Disease: a population-based study"</p><p></p><p>The Ulster Medical Journal 2008;77(1):18-21.</p><p>Published online Jan 2008</p><p>PMCID:PMC2397016.</p><p>© The Ulster Medical Society, 2008</p

Timeliness of diagnosis in Motor Neurone Disease: a population-based study-2

<p><b>Copyright information:</b></p><p>Taken from "Timeliness of diagnosis in Motor Neurone Disease: a population-based study"</p><p></p><p>The Ulster Medical Journal 2008;77(1):18-21.</p><p>Published online Jan 2008</p><p>PMCID:PMC2397016.</p><p>© The Ulster Medical Society, 2008</p