data pulled: 2022-12-13
website: http://rpubs.com/nsharmaa/spasd_tracking
This report is meant to provide a quick overview of the
Social Processes Initiative in Neurobiology of Autism-spectrum
and Schizophrenia-spectrum Disorders (SPIN-ASD) study. All data
summarized here derives from the SPIN-ASD project on CAMH’s REDCap
database, the SPINS project on AHRC’s REDCap database, and TIGRLab’s
XNAT database. This summary is only as accurate as the data captured
there.
For each of the plots, you can hover over selected areas to see more
metadata. Dragging a rectangle over a specific area of the plot will
zoom in and double clicking will reset to the original view.
Demographics
As part of the study design, one of the goals is to collect cognitive
and MR imaging data from 140 participants (100
participants with autism-spectrum disorders and 40
healthy controls). Participants who either drop out, are
withdrawn prior to completing the study, or whose MRI data cannot be
used will be replaced until this goal is achieved.
The study will also leverage previously collected data from the
Social Processes Initiative in Neurobiology of Schizophrenias
(SPINS) study, which consists of a matching protocol. SPINS is
a multi-site study that collected cognitive and MR imaging data from
clinically stable patients with schizophrenia-spectrum
disorders and healthy controls from each of
CAMH (CMH), Zucker Hillside Hospital
(ZHH) and Maryland Psychiatric Research Center
(MRC).
SPIN-ASD
Thus far, 133 participants have consented to be in
the study. A table summarizing their demographics as well as histograms
of their age and estimated IQ distributions are shown below.
For estimated IQ, study participants either
completed the Wechsler Abbreviated Scale of Intelligence
(WASI-II) or the Wechsler Adult Intelligence Scale
(WAIS-IV).
|
Case (N=98) |
Control (N=35) |
Overall (N=133) |
| Age (years) |
|
|
|
| Mean (SD) |
21 (± 3.9) |
27 (± 4.6) |
22 (± 4.8) |
| Median [Min, Max] |
20 [15, 33] |
27 [17, 35] |
22 [15, 35] |
| Missing |
0 (0%) |
2 (5.7%) |
2 (1.5%) |
| Sex |
|
|
|
| Female |
40 (41 %) |
14 (40 %) |
54 (41 %) |
| Male |
58 (59 %) |
19 (54 %) |
77 (58 %) |
| Missing |
0 (0%) |
2 (5.7%) |
2 (1.5%) |
| Race |
|
|
|
| Asian |
14 (14 %) |
16 (46 %) |
30 (23 %) |
| Black or African American |
1 (1 %) |
6 (17 %) |
7 (5 %) |
| More than one race |
7 (7 %) |
2 (6 %) |
9 (7 %) |
| Other |
6 (6 %) |
0 (0 %) |
6 (5 %) |
| White |
70 (71 %) |
9 (26 %) |
79 (59 %) |
| Missing |
0 (0%) |
2 (5.7%) |
2 (1.5%) |
| Education (years) |
|
|
|
| Mean (SD) |
13 (± 2.2) |
16 (± 2.1) |
14 (± 2.6) |
| Median [Min, Max] |
12 [9.0, 20] |
16 [11, 20] |
13 [9.0, 20] |
| Missing |
0 (0%) |
2 (5.7%) |
2 (1.5%) |
| Estimated IQ |
|
|
|
| Mean (SD) |
110 (± 14) |
110 (± 11) |
110 (± 13) |
| Median [Min, Max] |
120 [73, 150] |
110 [96, 130] |
110 [73, 150] |
| Missing |
36 (36.7%) |
22 (62.9%) |
58 (43.6%) |
| MATRICS |
|
|
|
| Mean (SD) |
41 (± 11) |
49 (± 7.7) |
43 (± 11) |
| Median [Min, Max] |
43 [-3.0, 59] |
51 [33, 60] |
44 [-3.0, 60] |
| Missing |
12 (12.2%) |
13 (37.1%) |
25 (18.8%) |
SPINS
The total SPINS dataset consists of 359 participants
with an SSD and 198 participants. After filtering the
dataset for participants within the same age range as SPIN-ASD, we get
the demographics table, and age and estimated IQ distributions shown
below.
For estimated IQ, study participants completed the
Wechsler Test of Adult Reading (WTAR).
|
CMH |
CMP |
MRC |
MRP |
ZHH |
ZHP |
Overall |
|
Case (N=107) |
Control (N=47) |
Case (N=15) |
Control (N=14) |
Case (N=18) |
Control (N=15) |
Case (N=32) |
Control (N=27) |
Case (N=22) |
Control (N=13) |
Case (N=45) |
Control (N=26) |
Case (N=239) |
Control (N=142) |
| Age (years) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| Mean (SD) |
26 (± 4.6) |
24 (± 4.2) |
25 (± 3.4) |
26 (± 4.1) |
27 (± 5.2) |
28 (± 4.1) |
28 (± 4.8) |
27 (± 4.1) |
28 (± 4.4) |
27 (± 5.2) |
25 (± 4.7) |
28 (± 4.7) |
26 (± 4.7) |
26 (± 4.5) |
| Median [Min, Max] |
25 [18, 35] |
23 [18, 35] |
24 [20, 31] |
25 [20, 34] |
26 [18, 34] |
29 [21, 33] |
28 [18, 35] |
26 [19, 34] |
30 [21, 35] |
26 [20, 35] |
24 [18, 35] |
28 [18, 35] |
25 [18, 35] |
25 [18, 35] |
| Sex |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| Female |
31 (29 %) |
21 (45 %) |
7 (47 %) |
10 (71 %) |
3 (17 %) |
3 (20 %) |
7 (22 %) |
11 (41 %) |
9 (41 %) |
7 (54 %) |
15 (33 %) |
16 (62 %) |
72 (30 %) |
68 (48 %) |
| Male |
76 (71 %) |
26 (55 %) |
8 (53 %) |
4 (29 %) |
15 (83 %) |
12 (80 %) |
25 (78 %) |
16 (59 %) |
13 (59 %) |
6 (46 %) |
30 (67 %) |
10 (38 %) |
167 (70 %) |
74 (52 %) |
| Intersex |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
| Race |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| American Indian/Alaska Native |
1 (1 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
1 (0 %) |
0 (0 %) |
| Asian |
23 (21 %) |
15 (32 %) |
1 (7 %) |
7 (50 %) |
2 (11 %) |
1 (7 %) |
3 (9 %) |
1 (4 %) |
2 (9 %) |
1 (8 %) |
9 (20 %) |
5 (19 %) |
40 (17 %) |
30 (21 %) |
| Black or African American |
17 (16 %) |
3 (6 %) |
1 (7 %) |
0 (0 %) |
12 (67 %) |
7 (47 %) |
13 (41 %) |
4 (15 %) |
10 (45 %) |
4 (31 %) |
18 (40 %) |
11 (42 %) |
71 (30 %) |
29 (20 %) |
| More than one race |
8 (7 %) |
2 (4 %) |
5 (33 %) |
0 (0 %) |
1 (6 %) |
1 (7 %) |
1 (3 %) |
0 (0 %) |
3 (14 %) |
2 (15 %) |
1 (2 %) |
0 (0 %) |
19 (8 %) |
5 (4 %) |
| Other |
3 (3 %) |
1 (2 %) |
1 (7 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
1 (4 %) |
2 (9 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
6 (3 %) |
2 (1 %) |
| Unknown or not reported |
3 (3 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
2 (9 %) |
0 (0 %) |
0 (0 %) |
0 (0 %) |
5 (2 %) |
0 (0 %) |
| White |
52 (49 %) |
26 (55 %) |
7 (47 %) |
7 (50 %) |
3 (17 %) |
6 (40 %) |
15 (47 %) |
21 (78 %) |
3 (14 %) |
6 (46 %) |
17 (38 %) |
10 (38 %) |
97 (41 %) |
76 (54 %) |
| Education (years) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| Mean (SD) |
13 (± 1.8) |
15 (± 1.8) |
14 (± 2.1) |
17 (± 1.7) |
13 (± 1.8) |
15 (± 1.8) |
14 (± 2.3) |
17 (± 2.0) |
13 (± 2.2) |
15 (± 2.4) |
14 (± 1.8) |
17 (± 2.0) |
14 (± 1.9) |
16 (± 2.0) |
| Median [Min, Max] |
13 [10, 18] |
16 [11, 18] |
14 [10, 18] |
18 [14, 20] |
14 [10, 16] |
16 [12, 18] |
14 [7.0, 18] |
16 [12, 20] |
14 [10, 18] |
16 [12, 19] |
13 [9.0, 18] |
17 [13, 20] |
13 [7.0, 18] |
16 [11, 20] |
| Estimated IQ |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| Mean (SD) |
110 (± 13) |
120 (± 8.5) |
120 (± 8.0) |
110 (± 9.1) |
99 (± 17) |
110 (± 13) |
110 (± 13) |
110 (± 11) |
93 (± 12) |
110 (± 14) |
100 (± 12) |
110 (± 12) |
110 (± 15) |
110 (± 11) |
| Median [Min, Max] |
110 [65, 130] |
120 [92, 130] |
120 [98, 120] |
110 [95, 120] |
98 [73, 120] |
120 [86, 130] |
110 [81, 130] |
120 [87, 130] |
87 [77, 120] |
110 [83, 130] |
110 [67, 120] |
120 [79, 130] |
110 [65, 130] |
120 [79, 130] |
| Missing |
5 (4.7%) |
0 (0%) |
0 (0%) |
0 (0%) |
0 (0%) |
0 (0%) |
0 (0%) |
0 (0%) |
0 (0%) |
0 (0%) |
2 (4.4%) |
1 (3.8%) |
7 (2.9%) |
1 (0.7%) |
Assessment Completion Status
Below is a heatmap depicting which assessments have been completed
for each participant in SPIN-ASD. There are separate tabs dividing
Case and Control participants. The
Assessment is shown in the x axis and the
Subject ID is shown in the y axis. Green indicates ‘complete’,
red indicates
‘incomplete’ and yellow indicates a ‘partial
complete’. Blank rectangles indicate that the assessment either hasn’t
been attempted yet or that the data hasn’t been entered. You can hover
over each square to get more details on the reason for an assessment
being incomplete.
The Autism-Spectrum Quotient (AQ),
Schizotypal Personality Questionnaire-Brief (SPQ-B) and
Beck Depression Inventory-II (BDI-II) were added to the
study protocol partway through the study and haven’t been completed for
several participants at the beginning.
Case
The Autism Diagnostic Interview-Revised (ADI-R) was
included in the study protocol in the event of an inconclusive clinical
diagnosis and a need for further diagnostic information following the
Autism Diagnostic Observation Schedule, Second Edition
(ADOS-2) .
Social Cognition
RMET
The Reading the Mind in the Eyes test (RMET) is a
test of social sensitivity. The participant is presented with a series
of 36 photographs of the eye region and asked to choose which of 4 words
best describes what the actor in the photograph is thinking or
feeling.
IRI
The Interpersonal Reactivity Index (IRI) is a 28
item self-report measure of cognitive and affective empathy.
TASIT-R
The Awareness of Social Inference Test-Revised
(TASIT-R) consists of emotion evaluation (Part
1), social inference - minimal (Part 2), and
social inference - enriched (Part 3). In Part 1, the
participant views 28 brief video clips to identify the emotion expressed
by the actor. In Part 2 and 3, the participant views 31 videotaped
vignettes of social interactions involving lies and sarcasm and makes
judgements regarding what the individual in the scene believed or knew,
meant by what he or she said, intended to do, and actually felt.
ER-40
The Penn Emotion Recognition Task-40 (ER-40) is a
measure of emotional processing. Participants rate the emotional valence
of 40 faces displaying happy, sad or neutral expressions on a 7 point
scale.
A median response time below 1000 seconds indicates inattention and
should be filtered out from further analysis.
MRI
Thus far, 110 participants have been scanned. The
target is to scan 3.33 participants per month
(40 per year). We are currently averaging
2.08 participants per month.
---
title: "SPIN-ASD Study Tracking"
description: |
  This report is meant to provide a quick overview of the SPIN-ASD study.
output:
  html_document:
    theme: flatly
    toc: true
    toc_float:
      collapsed: false
      smooth_scroll: false
    toc_depth: 3
    code_download: true
    fig_width: 8
---

data pulled: `r Sys.Date()`  
website: http://rpubs.com/nsharmaa/spasd_tracking

---

```{r setup, include=FALSE}
knitr::opts_chunk$set(
  echo = FALSE,
  warning = FALSE,
  message = FALSE,
  comment = "##",
  R.options = list(width = 60)
)

date <- Sys.Date()

ggplot2::theme_set(ggplot2::theme_minimal())

t <- list(
  family = "helvetica",
  size = 14
)
```

```{r load_libraries}
library(dplyr)
library(ggplot2)
library(glue)
library(here)
library(lubridate)
library(plotly)
library(readr)
library(stringr)
library(table1)
library(tidyr)
```

```{r load_data}
source(here("R/get_redcap.R"))

settings_cfg <- here("metadata/settings.yaml")
spasd_data_path <- glue(here("data/clinical/redcap_export_SPASD_{date}.csv"))

if (!file.exists(spasd_data_path)){
  get_redcap("SPASD", settings_cfg, spasd_data_path)
}

spins_data_path <- glue(here("data/clinical/redcap_export_SPINS_{date}.csv"))

if (!file.exists(spins_data_path)){
  get_redcap("SPINS", settings_cfg, spins_data_path)
}
```

```{r clean_data}
spasd_redcap_df <-
  read_csv(spasd_data_path, na = c("", "NA", "NI", "INV", "NASK", "ASKU")) %>%
  mutate(study = "SPIN-ASD",
         group = case_when(grepl("arm_1", redcap_event_name) ~ "Case",
                           grepl("arm_2", redcap_event_name) ~ "Control") %>%
           factor(.)) %>%
  filter(redcap_event_name != "cl_arm_3") %>%
  select(-c(redcap_event_name)) %>%
  group_by(record_id) %>%
  fill(-record_id, .direction = "down") %>%
  fill(-record_id, .direction = "up") %>%
  slice(1) %>%
  ungroup()

spins_redcap_df <-
  read_csv(spins_data_path) %>%
  mutate(study = "SPINS",
         group = case_when(grepl("arm_2", redcap_event_name) ~ "Case",
                           grepl("arm_1", redcap_event_name) ~ "Control") %>%

           factor(.)) %>%
  select(-c(redcap_event_name)) %>%
  group_by(record_id) %>%
  fill(-record_id, .direction = "down") %>%
  fill(-record_id, .direction = "up") %>%
  slice(1) %>%
  ungroup()

spins_total_case <-
  spins_redcap_df %>%
  filter(group == "Case") %>%
  nrow()

spins_total_control <-
  spins_redcap_df %>%
  filter(group == "Control") %>%
  nrow()

spins_redcap_df <-
  spins_redcap_df %>%
  filter(demo_age_study_entry < 36)

targets_df <-
  read_csv(here("metadata", "recruitment_targets.csv"))
```

This report is meant to provide a quick overview of the **Social Processes Initiative in Neurobiology of Autism-spectrum and Schizophrenia-spectrum Disorders (SPIN-ASD)** study. All data summarized here derives from the SPIN-ASD project on CAMH's REDCap database, the SPINS project on AHRC's REDCap database, and TIGRLab's XNAT database. This summary is only as accurate as the data captured there.  

For each of the plots, you can hover over selected areas to see more metadata. Dragging a rectangle over a specific area of the plot will zoom in and double clicking will reset to the original view.

## Demographics {.tabset}

As part of the study design, one of the goals is to collect cognitive and MR imaging data from **140** participants (**100 participants with autism-spectrum disorders** and **40 healthy controls**). Participants who either drop out, are withdrawn prior to completing the study, or whose MRI data cannot be used will be replaced until this goal is achieved.  

The study will also leverage previously collected data from the **Social Processes Initiative in Neurobiology of Schizophrenias (SPINS)** study, which consists of a matching protocol. SPINS is a multi-site study that collected cognitive and MR imaging data from **clinically stable patients with schizophrenia-spectrum disorders** and **healthy controls** from each of **CAMH (CMH)**, **Zucker Hillside Hospital (ZHH)** and **Maryland Psychiatric Research Center (MRC)**.

### SPIN-ASD

``` {r spasd_demo_dataframe}
spasd_demo_df <-
  spasd_redcap_df %>%
  select(record_id, group,
         demo_sex_birth, demo_age_study_entry,
         demo_race___1_white, demo_race___2_black, demo_race___3_native,
         demo_race___4_asian, demo_race___5_islander, demo_race___6_other,
         demo_race___7_mixed, demo_race___8_unknown, demo_race_other,
         demo_highest_grade_self, wasi_wais_fsiq, wasi_fsiq4_cs, np_composite_tscore,
         hand_laterality_quotient) %>%
  mutate(sex = factor(demo_sex_birth,
                      levels = c(1, 2, 3),
                      labels = c("Female", "Male", "Intersex")),
         race = case_when(demo_race___7_mixed == 1 ~ "More than one race",
                          demo_race___1_white == 1 ~ "White",
                          demo_race___2_black == 1 ~ "Black or African American",
                          demo_race___3_native == 1 ~ "American Indian/Alaska Native",
                          demo_race___4_asian == 1 ~ "Asian",
                          demo_race___5_islander == 1 ~ "Hawaiian or Pacific Islander",
                          demo_race___6_other == 1 ~ "Other",
                          demo_race___8_unknown == 1 ~ "Unknown or not reported") %>%
           factor(.),
         iq = ifelse(is.na(wasi_fsiq4_cs), wasi_wais_fsiq, wasi_fsiq4_cs)) %>%
  select(record_id, group, sex, demo_age_study_entry, race, demo_highest_grade_self, iq, np_composite_tscore) %>%
  droplevels()
```

Thus far, **`r nrow(spasd_demo_df)`** participants have consented to be in the study. A table summarizing their demographics as well as histograms of their age and estimated IQ distributions are shown below.  

For **estimated IQ**, study participants either completed the **Wechsler Abbreviated Scale of Intelligence (WASI-II)** or the **Wechsler Adult Intelligence Scale (WAIS-IV)**.

```{r spasd_demo_table}
label(spasd_demo_df$demo_age_study_entry) <- "Age (years)"
label(spasd_demo_df$sex) <- "Sex"
label(spasd_demo_df$race) <- "Race"
label(spasd_demo_df$demo_highest_grade_self) <-"Education (years)"
label(spasd_demo_df$iq) <- "Estimated IQ"
label(spasd_demo_df$np_composite_tscore) <- "MATRICS"

my.render.cont <- function(x) {
    with(stats.apply.rounding(stats.default(x), digits=2), c("",
        "Mean (SD)"=sprintf("%s (&plusmn; %s)", MEAN, SD),
        "Median [Min, Max]"=sprintf("%s [%s, %s]", MEDIAN, MIN, MAX)))
}
my.render.cat <- function(x) {
    c("", sapply(stats.default(x), function(y) with(y,
        sprintf("%d (%0.0f %%)", FREQ, PCT))))
}

spasd_demo_table <-
  table1(~ demo_age_study_entry + sex + race + demo_highest_grade_self + iq + np_composite_tscore | group,
        data = spasd_demo_df,
        render.continuous = my.render.cont, render.categorical = my.render.cat)

spasd_demo_table
```

```{r spasd_demo_distributions}
spasd_age_distribution <-
  plot_ly(alpha = 0.6, autobinx = FALSE,
          xbins = list(start = 15, end = 36, size = 1)) %>%
  add_histogram(x = ~spasd_demo_df$demo_age_study_entry[spasd_demo_df$group == "Case"], name = "Case") %>%
  add_histogram(x = ~spasd_demo_df$demo_age_study_entry[spasd_demo_df$group == "Control"], name = "Control") %>%
  layout(barmode = "overlay",
         font = t,
         xaxis = list(title = "Age (years)"),
         yaxis = list(title = "Count")) %>%
  config(displayModeBar = FALSE)

spasd_iq_distribution <-
  plot_ly(alpha = 0.6, autobinx = FALSE,
          xbins = list(start = 70, end = 150, size = 10)) %>%
  add_histogram(x = ~spasd_demo_df$iq[spasd_demo_df$group == "Case"], name = "Case") %>%
  add_histogram(x = ~spasd_demo_df$iq[spasd_demo_df$group == "Control"], name = "Control") %>%
  layout(barmode = "overlay",
         font = t,
         xaxis = list(title = "Estimated IQ"),
         yaxis = list(title = "Count")) %>%
  config(displayModeBar = FALSE)

spasd_age_distribution
spasd_iq_distribution
```

### SPINS

```{r spins_demo_dataframe}
spins_demo_df <-
  spins_redcap_df %>%
  select(record_id, group, redcap_data_access_group,
         demo_sex_birth, demo_age_study_entry,
         demo_race___1_white, demo_race___2_black, demo_race___3_native,
         demo_race___4_asian, demo_race___5_islander, demo_race___6_other,
         demo_race___7_mixed, demo_race___8_unknown, demo_race_other,
         demo_highest_grade_self, wtar_std_score, wtarsum_std,
         hand_laterality_quotient) %>%
  mutate(sex = factor(demo_sex_birth,
                      levels = c(1, 2, 3),
                      labels = c("Female", "Male", "Intersex")),
         race = case_when(demo_race___7_mixed == 1 ~ "More than one race",
                          demo_race___1_white == 1 ~ "White",
                          demo_race___2_black == 1 ~ "Black or African American",
                          demo_race___3_native == 1 ~ "American Indian/Alaska Native",
                          demo_race___4_asian == 1 ~ "Asian",
                          demo_race___5_islander == 1 ~ "Hawaiian or Pacific Islander",
                          demo_race___6_other == 1 ~ "Other",
                          demo_race___8_unknown == 1 ~ "Unknown or not reported") %>%
           factor(.),
         iq = ifelse(is.na(wtar_std_score), wtarsum_std, wtar_std_score)) %>%
  separate(record_id, c("study", "site", "sub"), sep = "_", remove = FALSE) %>%
  select(record_id, site, group, sex, demo_age_study_entry, race, demo_highest_grade_self, iq)
```

The total SPINS dataset consists of **`r spins_total_case`** participants with an SSD and **`r spins_total_control`** participants. After filtering the dataset for participants within the same age range as SPIN-ASD, we get the demographics table, and age and estimated IQ distributions shown below.  

For **estimated IQ**, study participants completed the **Wechsler Test of Adult Reading (WTAR)**.

```{r spins_demo_table}
label(spins_demo_df$demo_age_study_entry) <- "Age (years)"
label(spins_demo_df$sex) <- "Sex"
label(spins_demo_df$race) <- "Race"
label(spins_demo_df$demo_highest_grade_self) <-"Education (years)"
label(spins_demo_df$iq) <- "Estimated IQ"

my.render.cont <- function(x) {
    with(stats.apply.rounding(stats.default(x), digits=2), c("",
        "Mean (SD)"=sprintf("%s (&plusmn; %s)", MEAN, SD),
        "Median [Min, Max]"=sprintf("%s [%s, %s]", MEDIAN, MIN, MAX)))
}
my.render.cat <- function(x) {
    c("", sapply(stats.default(x), function(y) with(y,
        sprintf("%d (%0.0f %%)", FREQ, PCT))))
}

spins_demo_table <-
  table1(~ demo_age_study_entry + sex + race + demo_highest_grade_self + iq | site*group,
        data = spins_demo_df,
        render.continuous = my.render.cont, render.categorical = my.render.cat)

spins_demo_table
```

```{r spins_demo_distributions}
spins_age_distribution <-
  plot_ly(alpha = 0.6, autobinx = FALSE,
          xbins = list(start = 17, end = 36, size = 1)) %>%
  add_histogram(x = ~spins_demo_df$demo_age_study_entry[spins_demo_df$group == "Case"], name = "Case") %>%
  add_histogram(x = ~spins_demo_df$demo_age_study_entry[spins_demo_df$group == "Control"], name = "Control") %>%
  layout(barmode = "overlay",
         font = t,
         xaxis = list(title = "Age (years)"),
         yaxis = list(title = "Count")) %>%
  config(displayModeBar = FALSE)

spins_iq_distribution <-
  plot_ly(alpha = 0.6, autobinx = FALSE,
          xbins = list(start = 60, end = 130, size = 10)) %>%
  add_histogram(x = ~spins_demo_df$iq[spins_demo_df$group == "Case"], name = "Case") %>%
  add_histogram(x = ~spins_demo_df$iq[spins_demo_df$group == "Control"], name = "Control") %>%
  layout(barmode = "overlay",
         font = t,
         xaxis = list(title = "Estimated IQ"),
         yaxis = list(title = "Count")) %>%
  config(displayModeBar = FALSE)

spins_age_distribution
spins_iq_distribution
```

## Assessment Completion Status {.tabset}

Below is a heatmap depicting which assessments have been completed for each participant in SPIN-ASD. There are separate tabs dividing `Case` and `Control` participants. The `Assessment` is shown in the x axis and the `Subject ID` is shown in the y axis. **<span style="color:#238823">Green</span>** indicates 'complete', **<span style="color:#D2222D">red</span>** indicates 'incomplete' and **<span style="color:#FFBF00">yellow</span>** indicates a 'partial complete'. Blank rectangles indicate that the assessment either hasn't been attempted yet or that the data hasn't been entered. You can hover over each square to get more details on the reason for an assessment being incomplete.

```{r assessment_complete}
spasd_assessment_status <-
  spasd_redcap_df %>%
  ungroup() %>%
  select(record_id, group,
         ends_with("_form_complete"),
         hand_redcap_id,
         aq_redcap_id,
         spqb_redcap_id,
         bdi_redcap_id,
         iri_redcap_id,
         ends_with("_explain"),
         ends_with("_other_reason_nc")) %>%
  mutate(record_id = str_remove(record_id, "SPASD_CMP_"),
         hand_form_complete = ifelse(hand_redcap_id == "[survey respondent]", 1, hand_form_complete),
         aq_form_complete = ifelse(aq_redcap_id == "[survey respondent]", 1, aq_form_complete),
         spqb_form_complete = ifelse(spqb_redcap_id == "[survey respondent]", 1, spqb_form_complete),
         bdi_form_complete = ifelse(bdi_redcap_id == "[survey respondent]", 1, bdi_form_complete),
         iri_form_complete = ifelse(iri_redcap_id == "[survey respondent]", 1, iri_form_complete))

spasd_assessment_complete <-
  spasd_assessment_status %>%
  select(record_id, group, ends_with("_form_complete")) %>%
  gather(key = "assessment", value = "complete", -c(record_id, group)) %>%
  filter(!is.na(complete)) %>%
  mutate(assessment = str_remove(assessment, "_form_complete"))

spasd_assessment_explain <-
  spasd_assessment_status %>%
  select(record_id, group, ends_with("_explain")) %>%
  gather(key = "assessment", value = "reason", -c(record_id, group)) %>%
  filter(!is.na(reason)) %>%
  mutate(assessment = str_remove(assessment, "_explain")) %>%
  filter(assessment != "np_validity_issues") %>%
  mutate(reason = factor(reason,
                         levels = c(88, 89, 90, 91,
                                    92, 93, 94, 95,
                                    96, 97, 98, 99),
                         labels = c("Other",
                                    "Terminated from study",
                                    "Missed appointment",
                                    "Rater forgot to administer",
                                    "Time constraints",
                                    "Withdrew consent",
                                    "Deceased",
                                    "Unable to be contacted",
                                    "Completed but with less than best effort",
                                    "Refused to begin/finish",
                                    "Physical impairment",
                                    "Cognitive impairment")))

spasd_assessment_explain_other <-
  spasd_assessment_status %>%
  select(record_id, group, ends_with("_other_reason_nc")) %>%
  gather(key = "assessment", value = "reason_other", -c(record_id, group)) %>%
  filter(!is.na(reason_other)) %>%
  mutate(assessment = str_remove(assessment, "_other_reason_nc"))

spasd_assessment_df <-
  spasd_assessment_complete %>%
  left_join(spasd_assessment_explain) %>%
  left_join(spasd_assessment_explain_other) %>%
  filter(!assessment %in% c("elg_p", "elg_ct", "np_fact", "term")) %>%
  mutate(reason = ifelse(reason == "Other", reason_other, as.character(reason)),
         complete_text = case_when(complete == 1 ~ "Complete",
                                   complete == 2 ~ "Not complete",
                                   complete == 3 ~ "Partial"))
```

The **Autism-Spectrum Quotient (AQ)**, **Schizotypal Personality Questionnaire-Brief (SPQ-B)** and **Beck Depression Inventory-II (BDI-II)** were added to the study protocol partway through the study and haven't been completed for several participants at the beginning.

### Case

The **Autism Diagnostic Interview-Revised (ADI-R)** was included in the study protocol in the event of an inconclusive clinical diagnosis and a need for further diagnostic information following the **Autism Diagnostic Observation Schedule, Second Edition (ADOS-2)** .  

```{r case_assessment_complete}
case_assessment_df <-
  spasd_assessment_df %>%
  filter(group == "Case") %>%
  mutate(assessment = factor(assessment, 
                             levels = c("consent", "demo", "scid5", "sofas",
                                        "ahh", "npmed", "pmed", "urine", "hwv",
                                        "hand", "wasi", "fnd", "adir", "ados",
                                        "aq", "bprs", "spqb", "bdi", "co", "mri",
                                        "abas", "bsfs", "np", "tasit", "rmet", "iri"),
                             labels = c("Consent", "Demographics", 
                                        "SCID-5-RV", "SOFAS",
                                        "Medical History",
                                        "Nonpsychotropic Medications",
                                        "Psychotropic Medications",
                                        "Urine Toxicology Pregnancy",
                                        "Height Weight Vitals", "HDQ",
                                        "WASI-II/WAIS",
                                        "Fagerstrom Nicotine Dependence",
                                        "ADI-R", "ADOS-2", "AQ", "BPRS",
                                        "SPQ-B", "BDI-II", "Nicotine Expired CO", 
                                        "MRI", "ABAS-II", "BSFS", 
                                        "Neuropsych", "TASIT A", "RMET", "IRI")))

case_complete_plot <-
  case_assessment_df %>%
  plot_ly(x = ~assessment, y = ~record_id, z = ~complete,
          xgap = 2, ygap = 2,
          colors = c("#238823", "#D2222D", "#FFBF00"),
          type = "heatmap",
          height=1300,
          hoverinfo = 'text',
          text = ~paste(' Subject ID: ', record_id,
                        '<br> Assessment: ', assessment,
                        '<br> Status: ', complete_text,
                        '<br> Reason: ', reason)) %>%
  layout(font = t,
         xaxis = list(title = "Assessment",
                      ticks = "",
                      tickangle= 45,
                      showgrid = FALSE),
         yaxis = list(title = "Subject ID",
                      autorange = TRUE,
                      type = "category",
                      categoryorder = "category descending",
                      ticks = "",
                      tickvals=~record_id,
                      showgrid = FALSE)) %>%
  hide_colorbar() %>%
  config(displayModeBar = FALSE)

case_complete_plot
```

### Control

```{r control_assessment_complete}
control_assessment_df <-
  spasd_assessment_df %>%
  filter(group == "Control") %>%
  mutate(assessment = factor(assessment, 
                             levels = c("consent", "demo", "scid5", "sofas",
                                        "ahh", "npmed", "pmed", "urine", "hwv",
                                        "hand", "wasi", "fnd", 
                                        "aq", "spqb", "bdi", "co", "mri",
                                        "abas", "bsfs", "np", "tasit", "rmet", "iri"),
                             labels = c("Consent", "Demographics", 
                                        "SCID-5-RV", "SOFAS",
                                        "Medical History",
                                        "Nonpsychotropic Medications",
                                        "Psychotropic Medications",
                                        "Urine Toxicology Pregnancy",
                                        "Height Weight Vitals", "HDQ",
                                        "WASI-II/WAIS",
                                        "Fagerstrom Nicotine Dependence",
                                        "AQ", "SPQ-B", "BDI-II", "Nicotine Expired CO", 
                                        "MRI", "ABAS-II", "BSFS", 
                                        "Neuropsych", "TASIT A", "RMET", "IRI")))

control_complete_plot <-
  control_assessment_df %>%
  plot_ly(x = ~assessment, y = ~record_id, z = ~complete,
          xgap = 2, ygap = 2,
          colors = c("#238823", "#FFBF00", "#D2222D"),
          type = "heatmap",
          hoverinfo = 'text',
          text = ~paste(' Subject ID: ', record_id,
                        '<br> Assessment: ', assessment,
                        '<br> Status: ', complete_text,
                        '<br> Reason: ', reason)) %>%
  layout(font = t,
         xaxis = list(title = "Assessment",
                      type = "category",
                      ticks = "",
                      tickangle = 45,
                      showgrid = FALSE),
         yaxis = list(title = "Subject ID",
                      autorange = TRUE,
                      type = "category",
                      categoryorder = "category descending",
                      ticks = "",
                      tickvals=~record_id,
                      showgrid = FALSE)) %>%
  hide_colorbar() %>%
  config(displayModeBar = FALSE)

control_complete_plot
```

## Social Cognition {.tabset}

```{r scog_dataframe}
scog_df <-
  rbind(
    spasd_redcap_df %>%
      select(record_id, study, group,
             rmet_total,
             iri_factor_pt, iri_factor_fs, iri_factor_ec, iri_factor_pd, iri_total,
             scog_er40_cr_columnpcr_value, scog_er40_crt_columnqcrt_value, scog_er40ang_columnv, scog_er40fear_columnw,
             scog_er40hap_columnx, scog_er40noe_columny, scog_er40sad_columnz, scog_er40_fpa_columnaa, scog_er40_fpf_columnab,
             scog_er40mild_columnap, scog_er40extr_columnaq, scog_er40mdrt_columnar, scog_er40exrt_columnas,
             tasit_correct_total, tasit_part2_grandtotal, tasit_part3_grandtotal_lies, tasit_part3_grandtotal_sarcasm),
    spins_redcap_df %>%
      select(record_id, study, group,
             rmet_total, scog2_rmet_total,
             iri_factor_pt, scog2_iri_factor_perspective,
             iri_factor_fs, scog2_iri_factor_fantasy,
             iri_factor_ec, scog2_iri_factor_empathic_concern,
             iri_factor_pd, scog2_iri_factor_personal_distress,
             iri_total,
             scog_er40_cr_columnpcr_value, scog_er402_cr_columnpcr_value,
             scog_er40_crt_columnqcrt_value, scog2_er40_crt_columnqcrt_value,
             scog_er40ang_columnv, scog2_er40ang_columnv,
             scog_er40fear_columnw, scog2_er40fear_columnw,
             scog_er40hap_columnx, scog2_er40hap_columnx,
             scog_er40noe_columny, scog2_er40noe_columny,
             scog_er40sad_columnz, scog2_er40sad_columnz,
             scog_er40_fpa_columnaa, scog2_er40_fpa_columnaa,
             scog_er40_fpf_columnab, scog2_er40_fpf_columnab,
             scog_er40mild_columnap, scog2_er40mild_columnap,
             scog_er40extr_columnaq, scog2_er40extr_columnaq,
             scog_er40mdrt_columnar, scog2_er40mdrt_columnar,
             scog_er40exrt_columnas, scog2_er40exrt_columnas,
             tasit_correct_total, tasitsum_total_correct,
             tasit_part2_grandtotal, tasitsum_p2_total_itemscorrect,
             tasit_part3_grandtotal_lies, tasitsum_p3_grandtotal_lies,
             tasit_part3_grandtotal_sarcasm, tasitsum_p3_grandtotal_sarcasm) %>%
      mutate(rmet_total = ifelse(is.na(rmet_total), scog2_rmet_total, rmet_total),
             iri_factor_pt = ifelse(is.na(iri_factor_pt), scog2_iri_factor_perspective, iri_factor_pt),
             iri_factor_fs = ifelse(is.na(iri_factor_fs), scog2_iri_factor_fantasy, iri_factor_fs),
             iri_factor_ec = ifelse(is.na(iri_factor_ec), scog2_iri_factor_empathic_concern, iri_factor_ec),
             iri_factor_pd = ifelse(is.na(iri_factor_pd), scog2_iri_factor_personal_distress, iri_factor_pd),
             iri_total = ifelse(is.na(iri_total), iri_factor_pt + iri_factor_fs + iri_factor_ec + iri_factor_pd, iri_total),
             scog_er40_cr_columnpcr_value = ifelse(grepl("MRC|MRP", record_id), scog_er402_cr_columnpcr_value, scog_er40_cr_columnpcr_value),
             scog_er40_crt_columnqcrt_value = ifelse(grepl("MRC|MRP", record_id), scog2_er40_crt_columnqcrt_value, scog_er40_crt_columnqcrt_value),
             scog_er40ang_columnv = ifelse(grepl("MRC|MRP", record_id), scog2_er40ang_columnv, scog_er40ang_columnv),
             scog_er40fear_columnw = ifelse(grepl("MRC|MRP", record_id), scog2_er40fear_columnw, scog_er40fear_columnw),
             scog_er40hap_columnx = ifelse(grepl("MRC|MRP", record_id), scog2_er40hap_columnx, scog_er40hap_columnx),
             scog_er40noe_columny = ifelse(grepl("MRC|MRP", record_id), scog2_er40noe_columny, scog_er40noe_columny),
             scog_er40sad_columnz = ifelse(grepl("MRC|MRP", record_id), scog2_er40sad_columnz, scog_er40sad_columnz),
             scog_er40_fpa_columnaa = ifelse(grepl("MRC|MRP", record_id), scog2_er40_fpa_columnaa, scog_er40_fpa_columnaa),
             scog_er40_fpf_columnab = ifelse(grepl("MRC|MRP", record_id), scog2_er40_fpf_columnab, scog_er40_fpf_columnab),
             scog_er40mild_columnap = ifelse(grepl("MRC|MRP", record_id), scog2_er40mild_columnap, scog_er40mild_columnap),
             scog_er40extr_columnaq = ifelse(grepl("MRC|MRP", record_id), scog2_er40extr_columnaq, scog_er40extr_columnaq),
             scog_er40mdrt_columnar = ifelse(grepl("MRC|MRP", record_id), scog2_er40mdrt_columnar, scog_er40mdrt_columnar),
             scog_er40exrt_columnas = ifelse(grepl("MRC|MRP", record_id), scog2_er40exrt_columnas, scog_er40exrt_columnas),
             tasit_correct_total = ifelse(grepl("MRC|MRP", record_id), tasitsum_total_correct, tasit_correct_total),
             tasit_part2_grandtotal = ifelse(grepl("MRC|MRP", record_id), tasitsum_p2_total_itemscorrect, tasit_part2_grandtotal),
             tasit_part3_grandtotal_lies = ifelse(grepl("MRC|MRP", record_id), tasitsum_p3_grandtotal_lies, tasit_part3_grandtotal_lies),
             tasit_part3_grandtotal_sarcasm = ifelse(grepl("MRC|MRP", record_id), tasitsum_p3_grandtotal_sarcasm, tasit_part3_grandtotal_sarcasm)) %>%
      select(-c(scog2_rmet_total,
                scog2_iri_factor_perspective, scog2_iri_factor_fantasy, scog2_iri_factor_empathic_concern, scog2_iri_factor_personal_distress,
                scog_er402_cr_columnpcr_value, scog2_er40_crt_columnqcrt_value, scog2_er40ang_columnv, scog2_er40fear_columnw,
                scog2_er40hap_columnx, scog2_er40noe_columny, scog2_er40sad_columnz,
                scog2_er40_fpa_columnaa, scog2_er40_fpf_columnab, scog2_er40mild_columnap,
                scog2_er40extr_columnaq, scog2_er40mdrt_columnar, scog2_er40exrt_columnas,
                tasitsum_total_correct, tasitsum_p2_total_itemscorrect, tasitsum_p3_grandtotal_lies, tasitsum_p3_grandtotal_sarcasm)))

# filter out participants with NA rows
scog_df <- scog_df[rowSums(is.na(scog_df)) < 18, ]

# filter out TASIT scores with 0
scog_df <-
  scog_df %>%
  mutate(tasit_correct_total = na_if(tasit_correct_total, 0),
         tasit_part2_grandtotal = na_if(tasit_part2_grandtotal, 0),
         tasit_part3_grandtotal_lies = na_if(tasit_part3_grandtotal_lies, 0),
         tasit_part3_grandtotal_sarcasm = na_if(tasit_part3_grandtotal_sarcasm, 0))
```

### RMET

The **Reading the Mind in the Eyes test (RMET)**  is a test of social sensitivity. The participant is presented with a series of 36 photographs of the eye region and asked to choose which of 4 words best describes what the actor in the photograph is thinking or feeling.

```{r rmet_distribution}
plot_ly(scog_df %>%
          gather(key = "assessment", value = "score", -c(record_id, study, group)) %>%
          filter(assessment %in% c("rmet_total")) %>%
          mutate(assessment = factor(assessment,
                                     levels = c("rmet_total"),
                                     labels = c("RMET Total"))),
        x = ~assessment, y = ~score, color = ~group, symbol = ~study,
        type = "box", boxpoints = "all", jitter = 0.3, pointpos = 0,
        hoverinfo = "text",
        text = ~paste(" Subject: ", record_id,
                      "<br>", assessment, ": ", score),
        mode = "markers",
        marker = list(color = "#000", opacity = 0.5)) %>%
  layout(boxmode = "group",
         xaxis = list(title = "RMET"),
         yaxis = list(title = "Score")) %>%
  config(displayModeBar = FALSE)
```

### IRI

The **Interpersonal Reactivity Index (IRI)** is a 28 item self-report measure of cognitive and affective empathy.

```{r iri_distribution}
plot_ly(scog_df %>%
          gather(key = "assessment", value = "score", -c(record_id, study, group)) %>%
          filter(assessment %in% c("iri_factor_pt", "iri_factor_fs", "iri_factor_ec", "iri_factor_pd", "iri_total")) %>%
          mutate(assessment = factor(assessment,
                                     levels = c("iri_factor_pt", "iri_factor_fs", "iri_factor_ec", "iri_factor_pd", "iri_total"),
                                     labels = c("Perspective-Taking", "Fantasy", "Empathic Concern", "Personal Distress", "Total"))),
        x = ~assessment, y = ~score, color = ~group, symbol = ~study,
        type = "box", boxpoints = "all", jitter = 0.3, pointpos = 0,
        hoverinfo = "text",
        text = ~paste(" Subject: ", record_id,
                      "<br>", assessment, ": ", score),
        mode = "markers",
        marker = list(color = "#000", opacity = 0.5)) %>%
  layout(boxmode = "group",
         xaxis = list(title = "IRI Susbscale"),
         yaxis = list(title = "Score")) %>%
  config(displayModeBar = FALSE)
```

### TASIT-R

**The Awareness of Social Inference Test-Revised (TASIT-R)** consists of emotion evaluation (**Part 1**), social inference - minimal (**Part 2**), and social inference - enriched (**Part 3**). In Part 1, the participant views 28 brief video clips to identify the emotion expressed by the actor. In Part 2 and 3, the participant views 31 videotaped vignettes of social interactions involving lies and sarcasm and makes judgements regarding what the individual in the scene believed or knew, meant by what he or she said, intended to do, and actually felt.

```{r tasit_distributions}
plot_ly(scog_df %>%
          gather(key = "assessment", value = "score", -c(record_id, study, group)) %>%
          filter(assessment %in% c("tasit_correct_total", "tasit_part2_grandtotal", "tasit_part3_grandtotal_lies", "tasit_part3_grandtotal_sarcasm")) %>%
          mutate(assessment = factor(assessment,
                                     levels = c("tasit_correct_total", "tasit_part2_grandtotal", "tasit_part3_grandtotal_lies", "tasit_part3_grandtotal_sarcasm"),
                                     labels = c("Part 1", "Part 2", "Part 3 Lies", "Part 3 Sarcasm"))),
        x = ~assessment, y = ~score, color = ~group, symbol = ~study,
        type = "box", boxpoints = "all", jitter = 0.3, pointpos = 0,
        hoverinfo = "text",
        text = ~paste(" Subject: ", record_id,
                      "<br>", assessment, ": ", score),
        mode = "markers",
        marker = list(color = "#000", opacity = 0.5)) %>%
  layout(boxmode = "group",
         xaxis = list(title = "TASIT-R Susbscale"),
         yaxis = list(title = "Score")) %>%
  config(displayModeBar = FALSE)
```

### ER-40

The **Penn Emotion Recognition Task-40 (ER-40)** is a measure of emotional processing. Participants rate the emotional valence of 40 faces displaying happy, sad or neutral expressions on a 7 point scale. 

```{r er40_correct}
plot_ly(scog_df %>%
          gather(key = "assessment", value = "score", -c(record_id, study, group)) %>%
          filter(assessment %in% c("scog_er40_cr_columnpcr_value", "scog_er40ang_columnv", "scog_er40fear_columnw",
                                   "scog_er40hap_columnx", "scog_er40noe_columny", "scog_er40sad_columnz", 
                                   "scog_er40mild_columnap", "scog_er40extr_columnaq")) %>%
          mutate(assessment = factor(assessment,
                                     levels = c("scog_er40_cr_columnpcr_value", "scog_er40ang_columnv", "scog_er40fear_columnw",
                                                "scog_er40hap_columnx", "scog_er40noe_columny", "scog_er40sad_columnz", 
                                                "scog_er40mild_columnap", "scog_er40extr_columnaq"),
                                     labels = c("Correct Responses", "Correct Anger", "Correct Fear", "Correct Happy", "Correct Neutral",
                                                "Correct Sad", "Correct Mild", "Correct Extreme"))),
        x = ~assessment, y = ~score, color = ~group, symbol = ~study,
        type = "box", boxpoints = "all", jitter = 0.3, pointpos = 0,
        hoverinfo = "text",
        text = ~paste(" Subject: ", record_id,
                      "<br>", assessment, ": ", score),
        mode = "markers",
        marker = list(color = "#000", opacity = 0.5)) %>%
  layout(boxmode = "group",
         xaxis = list(title = "ER-40 Susbscale"),
         yaxis = list(title = "Score")) %>%
  config(displayModeBar = FALSE)
```

A median response time below 1000 seconds indicates inattention and should be filtered out from further analysis.

```{r er40_rt}
plot_ly(scog_df %>%
          gather(key = "assessment", value = "score", -c(record_id, study, group)) %>%
          filter(assessment %in% c("scog_er40_crt_columnqcrt_value", "scog_er40mdrt_columnar", "scog_er40exrt_columnas")) %>%
          mutate(assessment = factor(assessment,
                                     levels = c("scog_er40_crt_columnqcrt_value", "scog_er40mdrt_columnar", "scog_er40exrt_columnas"),
                                     labels = c("Correct Responses", "Correct Mild", "Correct Extreme"))),
        x = ~assessment, y = ~score, color = ~group, symbol = ~study,
        type = "box", boxpoints = "all", jitter = 0.3, pointpos = 0,
        hoverinfo = "text",
        text = ~paste(" Subject: ", record_id,
                      "<br>", assessment, ": ", score),
        mode = "markers",
        marker = list(color = "#000", opacity = 0.5)) %>%
  layout(boxmode = "group",
         xaxis = list(title = "ER-40 Susbscale"),
         yaxis = list(title = "Median Response Time (seconds)")) %>%
  config(displayModeBar = FALSE)
```

## MRI

```{r mri_dataframe}
xnat_df <-
  spasd_redcap_df %>%
  select(record_id, mri_doa, mri_form_complete) %>%
  filter(mri_form_complete != 2) %>%
  rename(date = mri_doa) %>%
  mutate(study = "SPASD")

mri_df <-
  xnat_df %>%
  group_by(study, date) %>%
  count() %>%
  ungroup() %>%
  mutate(total = cumsum(n)) %>%
  select(-n) %>%
  bind_rows(
    targets_df %>%
      mutate(study = "target") %>%
      rename(total = target,
             date = month) %>%
      select(study, date, total))

participants_recruited <- nrow(xnat_df)

months_of_study <- nrow(
  mri_df %>%
  filter(study == "target") %>%
  filter(!date == "2018-07-31") %>%
  filter(date < ceiling_date(Sys.Date(), "month"))
)

avg_recruitment <- round(participants_recruited / months_of_study, digits = 2)
```

Thus far, **`r participants_recruited`** participants have been scanned. The target is to scan **3.33** participants per month (**40** per year). We are currently averaging **`r avg_recruitment`** participants per month.

```{r mri_plot}
a <- list(
  x = tail(mri_df$date, n = 1),
  y = tail(mri_df$total, n = 1),
  text = mri_df$total,
  xref = "x",
  yref = "y",
  showarrow = FALSE)

mri_plot <-
  plot_ly(mri_df, 
          x = ~date, y = ~total,
          type= 'scatter', mode = 'lines+markers',
          color = ~study) %>%
  layout(font = t,
         xaxis = list(title = 'Date',
                      range = c(as.Date("2018-07-31"), 
                                Sys.Date() + 30)),
         yaxis = list(title = '# of Participants Scanned',
                      range = c(0,
                                tail(
                                  mri_df$total[mri_df$date < lubridate::ceiling_date(Sys.Date(),"month")],
                                  n = 1)))) %>%
  config(displayModeBar = FALSE)

mri_plot


Social Cognition
RMET
The Reading the Mind in the Eyes test (RMET) is a test of social sensitivity. The participant is presented with a series of 36 photographs of the eye region and asked to choose which of 4 words best describes what the actor in the photograph is thinking or feeling.
IRI
The Interpersonal Reactivity Index (IRI) is a 28 item self-report measure of cognitive and affective empathy.
TASIT-R
The Awareness of Social Inference Test-Revised (TASIT-R) consists of emotion evaluation (Part 1), social inference - minimal (Part 2), and social inference - enriched (Part 3). In Part 1, the participant views 28 brief video clips to identify the emotion expressed by the actor. In Part 2 and 3, the participant views 31 videotaped vignettes of social interactions involving lies and sarcasm and makes judgements regarding what the individual in the scene believed or knew, meant by what he or she said, intended to do, and actually felt.
ER-40
The Penn Emotion Recognition Task-40 (ER-40) is a measure of emotional processing. Participants rate the emotional valence of 40 faces displaying happy, sad or neutral expressions on a 7 point scale.
A median response time below 1000 seconds indicates inattention and should be filtered out from further analysis.