Research Article

Brain Activation and Psychomotor Speed in Middle-Aged Patients with Type 1 Diabetes: Relationships with Hyperglycemia and Brain Small Vessel Disease

Table 1

Characteristics of participants () and associations with median response time while performing the task (DSST) in the scanner (Spearman or Pearson). Measures are from day of MRI (2010–2013) unless otherwise specified.

Mean ± SD or (%)Correlation coefficient, values

Demographic characteristics Age at MRI (years)49.04 ± 6.89−0.37, <0.001
Education (years)15 ± 2−0.09, 0.38
Female42 (48%)0.12, 0.27

Diabetes-related factors and complicationsT1D duration at MRI (years)40.80 ± 6.260.28, 0.01
Age at T1D diagnosis (years)8.24 ± 4.250.18, 0.10
Serum glucose (mg/dL)177.52 ± 90.68−0.06, 0.61
HbA1c (%)7.96 ± 2.32 0.15, 0.17
HbA1c months (AU)971.15 ± 374.240.32, <0.001
Confirmed distal symmetric polyneuropathy38 (48%)0.38, <0.001
Overt nephropathy23 (32%)0.33, <0.001
Proliferative retinopathy39 (45%)0.36, <0.001

MRI measuresCorrect median response time (ms)1353.39 ± 322.12
White matter hyperintensity volume (% total brain volume)0.002 ± 0.003 0.24, 0.02
White matter hyperintensity severity, Fazekas rating = 310 (11%) 0.25, 0.02

Cognitive measuresNAART (verbal IQ estimate)108 ± 7−0.17, 0.14
Digit symbol substitution test, number complete in 90 seconds (pencil and paper test)56 ± 13−0.56, <0.001
Information processing domain, -score0.54 ± 0.82−0.57, <0.001
Clinically relevant cognitive impairment 28 (35%)0.37, <0.001

Documented in 2004–2006.