Table 5 Change in cognitive performance from baseline to Day 28 in active compared to sham treatment.

From: Investigating repetitive transcranial magnetic stimulation on cannabis use and cognition in people with schizophrenia

 

Cognitive assessment variables

Linear contrast test

Average trajectory difference: interaction test

Treatment * Time

Treatment

Time

BART

Average Adjusted Pumps

Estimate = −9.32, df(11.87), p = 0.152

F = 2.35, df(11.87), p = 0.152

F = 0.05, df(15.09), p = 0.832

F = 1.42, df(11.87), p = 0.257

Total Money Earned

Estimate = 1.04, df(14.46), p = 0.745

F = 0.11, df(14.46), p = 0.745

F = 0.75, df(14.90), p = 0.399

F = 0.01, df(14.46), p = 0.923

HVLT

Total Recall

Estimate = −2, df(16.03), p = 0.468

F = 0.55, df(16.03), p = 0.468

F = 0.96, df(17.45), p = 0.340

F = 0.83, df(16.03), p = 0.376

Delayed Recall

Estimate = −0.21, df(15.91), p = 0.866

F = 0.03, df(15.91), p = 0.866

F = 0.15, df(17.29), p = 0.702

F = 0.03, df(15.91), p = 0.866

% Retention

Estimate = 10.92, df(15.92), p = 0.288

F = 1.21, df(15.92), p = 0.288

F = 0.04, df(17.30), p = 0.838

F = 3.5, df(15.92), p = 0.080

Discrimination Index

Estimate = −1.37, df(16.76), p = 0.248

F = 1.43, df(16.76), p = 0.248

F = 0.98, df(17.56), p = 0.335

F = 0.001, df(16.76), p = 0.974

SDR

30 s Delay

Estimate = 4.70, df(15.87), p = 0.611

F = 0.27, df(15.87), p = 0.611

F = 0.57, df(17.66), p = 0.461

F = 0.10, df(15.87), p = 0.755

TMT

Trial A

Estimate = 1.01, df(15.22), p = 0.665

F = 0.20, df(15.22), p = 0.665

F = 0.37, df(17.05), p = 0.549

F = 15.22, df(16.96), p = 0.001*

Trial B

Estimate = −5.11, df(15.56), p = 0.716

F = 0.14, df(15.56), p = 0.716

F = 0.36, df(17.25), p = 0.554

F = 0.11, df(15.56), p = 0.748

Digit Span

Forward

Estimate = 0.25, df(15.78), p = 0.844

F = 0.04, df(15.78), p = 0.844

F = 0.07, df(16.98), p = 0.799

F = 1.22, df(15.78), p = 0.285

Backward

Estimate = −0.23, df(15.24), p = 0.807

F = 0.06, df(15.24), p = 0.807

F = 0.38, df(16.77), p = 0.544

F = 1.40, df(15.24), p = 0.255

Total

Estimate = −0.37, df(15.64), p = 0.806

F = 0.06, df(15.64), p = 0.806

F = 0.33, df(17.27), p = 0.571

F = 4.04, df(15.64), p = 0.062

CpT

% Correct Hits

Estimate = −1.05, df(12.41), p = 0.242

F = 1.51, df(12.41), p = 0.242

F = 0.001, df(14.99), p = 0.974

F = 0.37, df(12.41), p = 0.557

% Omissions

Estimate = 7.37, df(12.04), p = 0.385

F = 0.81, df(12.04), p = 0.385

F = 0.07, df(14.59), p = 0.790

F = 0.30, df(12.04), p = 0.591

% Commissions

Estimate = −3.20, df(14.14), p = 0.469

F = 0.55, df(14.14), p = 0.469

F = 4.49, df(15.89), p = 0.050

F = 0.86, df(14.14), p = 0.371

Hit Reaction Time

Estimate = 6.58, df(15.18), p = 0.048*

F = 4.64, df(15.18), p = 0.048*

F = 2.19, df(17.58), p = 0.157

F = 0.58, df(15.18), p = 0.457

Variability

Estimate = −14.91, df(14.70), p = 0.044*

F = 4.85, df(14.70), p = 0.044*

F = 0.19, df(16.90), p = 0.672

F = 0.07 df(14.70), p = 0.796

Attentiveness

Estimate = −2.65, df(14.49), p = 0.493

F = 0.49, df(14.49), p = 0.493

F = 6.01, df(16.75), p = 0.025*

F = 0.11, df(14.49), p = 0.746

Grooved pegboard

Dominant Hand

Estimate = −12.53, df(15.68), p = 0.152

F = 2.27, df(15.68), p = 0.152

F = 0.03, df(17.24), p = 0.874

F = 0.06, df(15.68), p = 0.812

Dominant Hand # Dropped

Estimate = 0.09, df(16.94), p = 0.855

F = 0.04, df(16.94), p = 0.855

F = 0.70, df(17.18), p = 0.415

F = 0.04, df(16.94), p = 0.855

Non-Dominant Hand

Estimate = −24.26, df(15.71), p = 0.044*

F = 4.79, df(15.71), p = 0.044*

F = 0.18, df(17.24), p = 0.681

F = 0.06, df(15.71), p = 0.805

Non-Dominant Hand # Dropped

Estimate = −0.56, df(16.54), p = 0.337

F = 0.98, df(16.54), p = 0.337

F = 1.39, df(17.24), p = 0.254

F = 1.81, df(16.54), p = 0.196

KDDT

Ln(k) Small Reward

Estimate = −1.37, df(10.1), p = 0.273

F = 1.35, df(10.1), p = 0.273

F = 0.53, df(10.7), p = 0.484

F = 3.37, df(10.1), p = 0.096

Ln(k) Medium Reward

Estimate = −2.05 df(10), p = 0.152

F = 2.4, df(10), p = 0.152

F = 0.31, df(10), p = 0.589

F = 1.83, df(10), p = 0.206

Ln(k) Large Reward

Estimate = −3.44 df(24), p = 0.059

F = 3.92, df(24), p = 0.059

F = 0.76, df(24), p = 0.391

F = 5.23, df(24), p = 0.031*

Ln Geometric k

Estimate = −1.54, df(11.5), p = 0.175

F = 2.09, df(11.5), p = 0.175

F = 0.57, df(11.74), p = 0.464

F = 3.17, df(11.5), p = 0.101

TOL

Total Moves

Estimate = −2.5, df(6), p = 0.784

F = 0.057, df(6), p = 0.819

F = 0.93, df(6), p = 0.372

F = 10.44, df(6), p = 0.018*

Total Correct

Estimate = 3.5, df(6), p = 0.801

F = 0.07, df(6), p = 0.801

F = 0.11, df(6), p = 0.756

F = 1.73, df(6), p = 0.237

Total Time Violation

Estimate = 5, df(12), p = 0.722

F = 0.13, df(12), p = 0.722

F = 1.36, df(12), p = 0.267

F = 1.36, df(12), p = 0.267

Total Initiation Time

Estimate = −7.0, df(6), p = 0.241

F = 1.69, df(6), p = 0.241

F = 0.01, df(6), p = 0.923

F = 0.86, df(6), p = 0.389

Total Execution Time

Estimate = 4, df(6), p = 0.398

F = 0.83, df(6), p = 0.398

F = 0.86, df(6), p = 0.389

F = 10.14, df(6), p = 0.019*

Total Problem-Solving Time

Estimate = 8, df(6), p = 0.218

F = 1.89, df(6), p = 0.218

F = 0.43, df(6), p = 0.54

F = 1.44, df(6), p = 0.274

MMN

Amplitude

Estimate = −0.32, df(12.33), p = 0.557

F = 0.37, df(12.33), p = 0.557

F = 1.32, df(14.57), p = 0.268

F = 2.46, df(12.33), p = 0.142

  1. Outliers flagged by boxplot analysis of residuals were removed and the linear contrast and interaction tests were rerun. Contrast estimates for the linear contrast indicate differences in changes of the outcome from Baseline to Day 28 in the active compared to sham group.
  2. BART Balloon Analogue Risk Task, CPT Continuous Performance Test, HVLT Hopkins Verbal Learning Test-Revised, KDDT Kirby Delay Discounting Task, MMN Mismatch negativity amplitude, SDR Spatial Delayed Response, SS standardized score, TMT Trail Making Test, TOL Tower of London.
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