# Summary

- Dataset: Rhyme judgment
- Model: ds003_model001
- Participants (3): 01, 02, 03

# Model

Model specification

    {
      "description": "",
      "input": {
        "task": "rhymejudgment"
      },
      "name": "ds003_model001",
      "steps": [
        {
          "contrasts": [
            {
              "condition_list": [
                "trial_type.word",
                "trial_type.pseudoword"
              ],
              "name": "word_gt_pseudo",
              "type": "t",
              "weights": [
                1,
                -1
              ]
            },
            {
              "condition_list": [
                "trial_type.word",
                "trial_type.pseudoword"
              ],
              "name": "task_vs_baseline",
              "type": "t",
              "weights": [
                0.5,
                0.5
              ]
            }
          ],
          "dummy_contrasts": {
            "conditions": [
              "trial_type.word",
              "trial_type.pseudoword"
            ],
            "type": "t"
          },
          "level": "run",
          "model": {
            "x": [
              "trial_type.word",
              "trial_type.pseudoword",
              "framewise_displacement",
              "trans_x",
              "trans_y",
              "trans_z",
              "rot_x",
              "rot_y",
              "rot_z",
              "a_comp_cor_00",
              "a_comp_cor_01",
              "a_comp_cor_02",
              "a_comp_cor_03",
              "a_comp_cor_04",
              "a_comp_cor_05"
            ]
          },
          "transformations": [
            {
              "input": [
                "trial_type"
              ],
              "name": "Factor"
            },
            {
              "input": [
                "trial_type.word",
                "trial_type.pseudoword"
              ],
              "model": "spm",
              "name": "Convolve"
            }
          ]
        },
        {
          "dummy_contrasts": {
            "type": "FEMA"
          },
          "level": "subject"
        },
        {
          "contrasts": [
            {
              "condition_list": [
                "trial_type.word",
                "trial_type.pseudoword"
              ],
              "name": "any_words",
              "type": "F",
              "weights": [
                [
                  1,
                  0
                ],
                [
                  0,
                  1
                ]
              ]
            }
          ],
          "dummy_contrasts": {
            "conditions": [
              "word_gt_pseudo",
              "task_vs_baseline"
            ],
            "type": "t"
          },
          "level": "dataset"
        }
      ]
    }

## Run level

### Design matrices

A design matrix was generated for each run. All but the first are collapsed, but each should be inspected for correctness.

Task: rhymejudgment, Subject: 01
The following confounds had NaN values for the first volume: framewise_displacement. The mean of non-zero values for the remaining entries was imputed. If another strategy is desired, it must be explicitly specified in the model.

#### Correlation matrix

The correlation matrix of a design matrix shows the correlation between each pair of regressors. Very high or low correlations among variables of interest (top left) or between variables of interest and nuisance regressors (top right) can indicate deficiency in the design. High correlations among nuisance regressors will generally have little effect on the model.

...
Task: rhymejudgment, Subject: 02
The following confounds had NaN values for the first volume: framewise_displacement. The mean of non-zero values for the remaining entries was imputed. If another strategy is desired, it must be explicitly specified in the model.

#### Correlation matrix

Subject: 03, Task: rhymejudgment
The following confounds had NaN values for the first volume: framewise_displacement. The mean of non-zero values for the remaining entries was imputed. If another strategy is desired, it must be explicitly specified in the model.

#### Correlation matrix

### Contrasts

A contrast matrix was generated for each run. Except in very rare cases, these should be identical, so these should be inspected to ensure no unexpected differences are present.

Task: rhymejudgment, Subject: 01
...
Task: rhymejudgment, Subject: 02
Subject: 03, Task: rhymejudgment

# Contrasts

## Run level

### Task: rhymejudgment, Subject: 01

#### word > pseudo

#### task vs. baseline

#### trial_type.word

Missing contrast skipped (used: `--drop-missing`)

#### trial_type.pseudoword

Missing contrast skipped (used: `--drop-missing`)

### Task: rhymejudgment, Subject: 02

#### word > pseudo

#### task vs. baseline

#### trial_type.word

Missing contrast skipped (used: `--drop-missing`)

#### trial_type.pseudoword

Missing contrast skipped (used: `--drop-missing`)

### Subject: 03, Task: rhymejudgment

#### word > pseudo

#### task vs. baseline

#### trial_type.word

Missing contrast skipped (used: `--drop-missing`)

#### trial_type.pseudoword

Missing contrast skipped (used: `--drop-missing`)

## Subject level

### Subject: 01, Task: rhymejudgment

#### word > pseudo

#### task vs. baseline

#### trial_type.word

Missing contrast skipped (used: `--drop-missing`)

#### trial_type.pseudoword

Missing contrast skipped (used: `--drop-missing`)

### Subject: 02, Task: rhymejudgment

#### word > pseudo

#### task vs. baseline

#### trial_type.word

Missing contrast skipped (used: `--drop-missing`)

#### trial_type.pseudoword

Missing contrast skipped (used: `--drop-missing`)

### Subject: 03, Task: rhymejudgment

#### word > pseudo

#### task vs. baseline

#### trial_type.word

Missing contrast skipped (used: `--drop-missing`)

#### trial_type.pseudoword

Missing contrast skipped (used: `--drop-missing`)

## Dataset level

### Task: rhymejudgment

#### any_words

#### word > pseudo

#### task vs. baseline

# About

- Fitlins version:
- Fitlins command: `/opt/miniconda-latest/envs/neuro/bin/fitlins /data/MBDU/nielsond/dccc2019/try_gnode/fitlins_tests/ds003/ds003_fmriprep/sourcedata /data/MBDU/nielsond/dccc2019/try_gnode/fitlins_tests/ds003/nistats_smooth/out dataset -d /data/MBDU/nielsond/dccc2019/try_gnode/fitlins_tests/ds003/ds003_fmriprep/ -m /data/MBDU/nielsond/dccc2019/try_gnode/fitlins_tests/ds003/models/model-001_smdl.json -w /lscratch/12128095/nistats_smooth --participant-label 01 02 03 --space MNI152NLin2009cAsym --estimator nistats --n-cpus 8 --mem-gb 8 -vv -s 10.0:l1:iso --drift-model cosine`
- Date processed: 2021-04-20 22:36:14 -0400