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Frontiers in Behavioral Neuroscience logoLink to Frontiers in Behavioral Neuroscience
. 2019 Feb 19;13:29. doi: 10.3389/fnbeh.2019.00029

Corrigendum: The Influence of Chronic Pain and Cognitive Function on Spatial-Numerical Processing

Melanie Spindler 1,2,*,, Katharina Koch 1,, Elena Borisov 3, Jale Özyurt 2, Peter Sörös 4, Christiane Thiel 2, Carsten Bantel 1
PMCID: PMC6390267  PMID: 30837850

In the original article, there was a mistake in Tables 14 as published. The tables show the data for n = 37 chronic pain patients and n = 37 matched healthy controls. However, the tables should have shown data for n = 42 chronic pain patients and n = 42 matched healthy controls. The corrected Tables 14 appears below.

Table 1.

Characteristics of participants.

Characteristics Controls Chronic pain patients
Sample size; n 42 42
Gender (female); n (%) 31 (74) 31 (74)
Age [years]; mean (range) 54.1 (35–66) 54.0 (33–68)
Mean education* (SD) 2.71 (1.0) 2.05 (1.1)
Verbal IQ (SD) 106.0 (9.5) 98.0 (9.3)
Sleeping problems 8 28
Duration of pain [years]; mean (range) / 16.8 (1–50)
Pain intensity** (SD) / 5.9 (1.6)
Participants on opioid medication / 15
Participants with depression (ADS-K score >17) 1 19
Handedness (right, left, retrained left-handed) 39, 1, 2 37, 1, 4
(Main) pain syndromes Controls Chronic Pain
Fibromyalgia / 9 (7)
Musculoskeletal back pain / 20 (19)
Cervical/cervicobrachial pain / 7 (5)
Neuropathic pain / 3 (3)
Arthralgia / 9 (6)
Abdominal pain / 2 (2)
Myalgia / 1 (0)

SD, Standard deviation; ADS-K, General Depression Scale - Short form;

*

education refers to 0 = no degree, 1 = lower secondary education, 2 = secondary school, 3 = A-levels, 4 = university degree;

**

on an 11-point Numerical Rating Scale (0 = no pain; 10 = worst pain imaginable) on the day of testing.

The total amount of participants reporting different pain syndromes. In brackets, only the corresponding main pain category of each participant is listed.

Table 4.

Descriptive results from the subtests of the computerized TAP battery for chronic pain patients and controls separately.

Neuropsychological tests Controls M (SD) Chronic pain patients M (SD)
COVERT SHIFT OF ATTENTION
Valid trial–right target 316.0 (63.0) 323.0 (59.1)
Valid trial–left target 322.6 (67.1) 326.8 (67.8)
Invalid trial–right target 374.2 (88.0) 379.8 (75.8)
Invalid trial–left target 352.0 (91.8) 355.6 (72.0)
SUSTAINED ATTENTION
Omissions 0–5 min. 3.0 (2.9) 2.9 (2.5)
Omissions 5–10 min. 3.0 (2.6) 4.0 (3.6)
Omissions 10–15 min. 2.7 (2.5) 3.7 (3.3)
WORKING MEMORY
Errors 1.7 (2.0) 2.7 (3.2)
Misses 1.3 (1.6) 1.7 (2.6)

In covert shift of attention, values are given in milliseconds. For sustained attention and working memory, absolute values are reported.

Table 2.

Comparisons of MADER for different experimental conditions using independent samples t-tests.

Tasks MADER (SD) controls MADER (SD) patients T-value df p-value Cohen's d
POSITION MARKING
Overall 4.1 (1.5) 5.1 (1.9) −2.686 80 0.009 0.58
Familiar
Horizontal 3.7 (1.7) 4.2 (2.1) −1.217 81 0.227 0.26
Vertical 3.7 (1.8) 4.4 (2.0) −1.852 81 0.068 0.37
Unfamiliar
Horizontal 3.8 (2.0) 5.3 (2.4) −3.288 81 0.001* 0.60
Vertical 5.0 (2.6) 6.1 (2.9) −1.782 80 0.079 0.40
NUMBER NAMING
Overall 3.4 (0.9) 4.4 (1.4) −4.075 68.205 <0.001* 0.85
Familiar
Horizontal 3.1 (1.3) 4.1 (2.4) −2.298 81 0.024 0.52
Vertical 3.5 (1.4) 4.2 (1.6) −1.987 81 0.05 0.47
Unfamiliar
Horizontal 3.5 (1.3) 4.6 (2.1) −2.813 81 0.006 0.63
Vertical 3.4 (1.2) 5.0 (1.9) −4.392 67.147 <0.001* 1.00

On the left, the Mean Absolute Deviation from the Expected Respective Response (MADER) is shown for each subtask of number line experiments for controls and pain patients. On the right, results of statistical analyses for differences between group MADERs for each experimental condition are displayed. SD, standard deviation;

*

p < 0.005 (Bonferroni-corrected alpha-level).

Table 3.

MADER and dependent t-statistics for low- and high-distance stimuli of the number line estimation tasks for chronic pain patients and controls.

MADER Number naming Position marking
Low distance High distance T df p Low distance High distance T df p
MADER (SD) controls 3.5 (1.2) 3.3 (1.2) −1.125 41 0.267 3.8 (1.7) 4.3 (1.7) 1.994 41 0.053
MADER (SD) patients 4.5 (1.6) 4.4 (1.9) 0.410 40 0.684 4.3 (1.7) 5.8 (2.5) 4.860 39 <0.001

Additionally, there was a mistake in the legend for Table 1 as published. The scaling of the variables “education” and “opioid medication” was incorrect. The correct legend appears below.

“SD: Standard deviation; ADS-K: General Depression Scale - Short form; *education refers to 0 = no degree, 1 = lower secondary education, 2 = secondary school, 3 = A-levels, 4 = university degree; **on an 11-point Numerical Rating Scale (0 = no pain; 10 = worst pain imaginable) on the day of testing.

†The total amount of participants reporting different pain syndromes. In brackets, only the corresponding main pain category of each participant is listed.”

Lastly, in the original article, there was an error. The number sense performance of patients with vs. without opioid medication, was compared using the same incorrect sample size as mentioned above.

A correction has been made to the Results, Experimental Tests and Questionnaires, Clinical pain assessment, and number sense.

“Finally, the role of opioid medication on number sense performance was evaluated, suggesting that patients with opioid medication performed equally well on both number naming [n = 13; M = 4.7, SD = 1.7, t(40) = −0.542, p = 0.591] and position marking [n = 13; M = 4.8, SD = 1.3, t(39) = 0.818, p = 0.419] compared to patients without opioid medication (number naming: n = 29; M = 4.4, SD = 1.3; position marking: n = 28; M = 5.3, SD = 2.1).”

The authors apologize for these errors and state that they do not change the scientific conclusions of the article in any way. The original article has been updated.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.


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