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Chronic low back pain and sick-leave: a functional magnetic resonance study

Abstract

Background

Chronic low back pain (CLBP) represents a problem in the occupational environment, often associated with disability, sick-leave demands, loss of productivity, anxiety, depression and high socioeconomic cost. The emergence of functional neuroimaging allowed new insights into brain structure and physiology in normality and chronic pain. While occupational related aspects are recognized as important risk factors for chronicity there have not been thus far evaluated by fMRI experiments. The overall objective of this study is to compare the neuronal correlates between groups of individuals CLBP with or without sick-leave demands.

Methods

A total of 74 individuals were divided into three groups: chronic low back pain with sick-leave demands [CLBP_L]; chronic low back pain without sick-leave demands [CLBP_NL]; individuals without pain or sick-leave demands [Control]. Functional magnetic resonance imaging was used to assess brain function during moderate acute pain stimulation task (thumb controlled pressure).

Results

After acute painful stimulation, a higher brain response was found in the anterior cingulate and superior and medium frontal gyrus was observed in CLBP_NL vs. CLBP_L ( p < 0,001) and increased brain response in the frontal pole and paracingulate region in control vs. CLBP_L ( p < 0.001) during acute pain stimulation.

Conclusion

The modulation of acute pain participates in the mechanism propagating chronic pain perception. The lower activation in the superior frontal gyrus observed in the CLBP_L group compared to CLBP_NL, reinforces the idea of an already existing activation in this area.

Keywords:
Musculoskeletal; Sick-leave demands; Back disorders; Functional neuroimaging; Neuronal plasticity

Background

Low back pain (LBP) is one of the most common musculoskeletal complaints in industrialized societies, affecting 80% of adults at some time during their lives. Most pain episodes are self-limiting, but relapses are frequent and about 10% of individuals develop chronic pain [ 11. Manchikanti L, Singh V, Falco FJ, Benyamin RM, Hirsch JA. Epidemiology of low back pain in adults. Neuromodulation. 2014;17 Suppl 2:3-10. https://doi.org/10.1111/ner.12018.
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, 22. Meucci RD, Fassa AG, Faria NMX. Prevalence of chronic low back pain: systematic review. Rev Saúde Pública [Internet]. 2015:49-73[cited 2020 Mar 15]. Available from: Epub Oct 20, 2015. https://doi.org/10.1590/S0034-8910.2015049005874.
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]. LBP is a symptom that may be related to several alterations involving structures of the spine itself or not. However, often no correlation is found between clinical radiological assessments and low back pain symptoms. This is true for most cases of chronic low back pain, corresponding to a clinical entity named “common mechanical low back pain” or “nonspecific low back pain” [ 33. Fernandes JA. Initial approach to patients with acute lower back pain. Rev Assoc Med Bras. 2016;62(2):186-91. https://doi.org/10.1590/1806-9282.62.02.188 [cited 2020 Mar 15].
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].

Previous authors have reinforced the role of psychosocial factors in the evolution from acute to chronic LBP - CLBP [ 44. Shmagel A, Foley R, Ibrahim H. Epidemiology of chronic low Back pain in US adults: data from the 2009-2010 National Health and nutrition examination survey. Arthritis Care Res (Hoboken). 2016;68(11):1688-94. https://doi.org/10.1002/acr.22890.
https://doi.org/10.1002/acr.22890...
, 55. Wertli MM, Rasmussen-Barr E, Weiser S, Bachmann LM, Brunner F. The role of fear avoidance beliefs as a prognostic factor for outcome in patients with nonspecific low back pain: a systematic review. Spine J. 2014;14(5):816-36. e4. https://doi.org/10.1016/j.spinee.2013.09.036.
https://doi.org/10.1016/j.spinee.2013.09...
]. The poor physiologic understanding of CLBP is reflected in the characteristic inconstant and high variable response to treatment and also high recurrence rate [ 44. Shmagel A, Foley R, Ibrahim H. Epidemiology of chronic low Back pain in US adults: data from the 2009-2010 National Health and nutrition examination survey. Arthritis Care Res (Hoboken). 2016;68(11):1688-94. https://doi.org/10.1002/acr.22890.
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, 66. Mordeniz C Pain perception within consciousness. NeuroQuantology. 2016: 14. https://doi.org/10.14704/nq.2016.14.2.957.
https://doi.org/10.14704/nq.2016.14.2.95...
]. Pain is a complex and subjective experience encompassing the interpretation of nociceptive stimuli influenced by memories, emotions, pathological, genetic and cognitive factors. It is associated with working environment mis adjustments, acquired movement disability, sick-leave demands, loss of productivity, anxiety, depression and high socioeconomic cost [ 66. Mordeniz C Pain perception within consciousness. NeuroQuantology. 2016: 14. https://doi.org/10.14704/nq.2016.14.2.957.
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, 77. Cancelliere C, Donovan J, Stochkendahl MJ, Biscardi M, Ammendolia C, Myburgh C, et al. Factors affecting return to work after injury or illness: best evidence synthesis of systematic reviews. Chiropr Man Therap. 2016;24(1):32. https://doi.org/10.1186/s12998-016-0113-z.
https://doi.org/10.1186/s12998-016-0113-...
]. Since Waddel's [ 88. Waddel G. A new clinical model for the treatment of low Back pain. Spine. 1987;12(7):632-44. ], the correlation between LBP and sick-leave demands has been strongly emphasized. Despite all prevention efforts, the prevalence of disability due to LBP has increased considerably over the last decades in Western countries. In Brazil the picture is quite similar, CLBP was the first cause of sickness payment and the third cause of disability-related retirement [ 99. Meziat NF, Silva GA. Disability pension from back pain among social security beneficiaries, Brazil. Rev Saúde Pública. 2011;45(3)494-502. , 1010. Meucci RD, Fassa AG, Paniz VM, Silva MC, Wegman DH. Increase of chronic low back pain prevalence in a medium-sized city of southern Brazil. BMC Musculoskelet Disord. 2013;14:155. https://doi.org/10.1186/1471-2474-14-155.
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]. According to Brazilian Social Security data, back pain is the most frequent disease leading to sick-leave demands beyond 15 days in the past years ( http://www.brasil.gov.br/economia-e-emprego ).

Chronic low back pain (CLBP) is well known chapter in the occupational health context. Sick-leave demands is assured by the National Institute of Social Security (INSS) to the Brazilian worker provided the symptoms are adequately evaluated, and the disease is diagnosed by a certified doctor. In this context, pain is quite an obscure area since subjects complains are difficult to ascertain if no physical evidence is found. Even more, is the person has interests in obtaining benefits from sick-leave demands, it is often very difficult, if not impossible – and even for experts – to disentangle possible bias without a robust measure of pain relevance other than self-reported evaluation.

The emergence of new techniques of functional neuroimaging allowed a great advance in the research and understanding about structure and brain functioning in normality and in several pathological conditions including CLBP [ 1111. Morton DL, Sandhu JS, Jones AK. Brain imaging of pain: state of the art. J Pain Res. 2016;9:613-24. https://doi.org/10.2147/JPR.S60433.
https://doi.org/10.2147/JPR.S60433...
, 1212. Apkarian AV. The brain in chronic pain: clinical implications. Pain Management. 2011;1(6):577–86. ]. Functional Magnetic Resonance Imaging (fMRI) provides an indirect measurement of brain neuronal activity. The most often used fMRI measure is and endogenous contrast based on blood oxygenation - the BOLD (Blood Oxygenation Level Dependent) effect. It infers neural activity from localized changes in brain blood flow and rate of oxy/deoxyhaemoglobin changes in response to neural metabolic demand [ 1313. Amaro E Jr, Barker GJ. Study design in fMRI: basic principles. Brain Cogn. 2006;60(3):220-32. , 1414. Ogawa S, Lee TM, Kay AR, Tank DW. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci U S A. 1990;87(24):9868-72. ]. However, the technique is mostly based on alternating moments.

Transient painful stimuli activate a large set of coordinated brain regions regardless of the modality used to provoke pain [ 1515. Geha P, Waxman SG. Pain perception: multiple matrices or one? JAMA Neurol. 2016. https://doi.org/10.1001/jamaneurol.2016.0757.
https://doi.org/10.1001/jamaneurol.2016....
]. These regions collectively referred as the pain matrix has been extensively studied. It includes areas involved in sensory-discriminative aspects of pain (primary and secondary somatosensory cortex, thalamus and the posterior part of the insula) as well as areas implicated in emotional or affective aspects (anterior cingulate cortex, anterior part of the insula, prefrontal cortex) [ 1111. Morton DL, Sandhu JS, Jones AK. Brain imaging of pain: state of the art. J Pain Res. 2016;9:613-24. https://doi.org/10.2147/JPR.S60433.
https://doi.org/10.2147/JPR.S60433...
, 1212. Apkarian AV. The brain in chronic pain: clinical implications. Pain Management. 2011;1(6):577–86. ]. There is a growing evidence for an altered neural plasticity in chronic pain and specific chronic pain conditions are associated with distinct brain responses to acute pain, although sharing a few substrates [ 1616. Vachon-Presseau E, Centeno MV, Ren W, Berger SE, Tétreault P, et al. The emotional brain as a predictor and amplifier of chronic pain. J Dent Res. 2016;95(6):605-12. https://doi.org/10.1177/0022034516638027.
https://doi.org/10.1177/0022034516638027...
]. Apkarian et al. [ 1212. Apkarian AV. The brain in chronic pain: clinical implications. Pain Management. 2011;1(6):577–86. ], related that anatomy and physiology of the brain in chronic pain is distinct from that of healthy subjects experiencing acute pain. CLBP individuals are more sensitive and activate a greater number of cortical areas related to the pain matrix both with thermal or pressure stimuli [ 1717. Giesecke T, Gracely RH, Grant MA, Nachemson A, Petzke F, Williams DA, et al. Evidence of augmented central pain processing in idiopathic chronic low back pain. Arthritis Rheum. 2004;50(2):613-23. , 1818. Davis KD. Neuroimaging of pain: what does it tell us? Curr Opin Support Palliart Care. 2011;5(2):116-21. https://doi.org/10.1097/SPC0b013e3283458f96.
https://doi.org/10.1097/SPC0b013e3283458...
]. Although functional imaging has provided important new insights into chronic pain conditions, the identification of subgroups of individuals with nonspecific CLBP remains a challenge. While occupational related aspects are recognized as important risk factors for chronicity there have not been thus far evaluated by fMRI experiments. We are not aware of any study using fMRI comparing CLBP with and without sick-leave demands and asymptomatic control subjects.

In this paper, we compared brain hemodynamic response from individuals CLBP with sick-leave demands to subjects with CLBP, but without sick-leave demands when submitted to acute pain matched by individual intensity perception and controlled by objective pressure. Our hypothesis is that subjects with CLBP with sick-leave demands would have a distinct pattern of brain activation influenced by the relationship between pain auto-perception levels and objective pressure measurements.

Materials and methods

Subjects

The study was carried out at the Hospital Israelita Albert Einstein (HIAE). Individuals were recruited from the outpatient of Rheumatology Division of Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo and Department of Physical Therapy of HIAE and through announcements made at these two institutions during the year of 2015. Initially 237 individuals were contacted by telephone and by email. A total of 135 did not meet the criteria for the study and were excluded. A further 24 individuals were excluded after a medical evaluation performed at the rheumatology outpatient unit of the HCFMUSP. Seventy-eight individuals were selected for the study. Four individuals did not tolerate the fMRI procedure and withdrew from the study. Seventy-four individuals, right-handed (44 women and 30 men) completed the study. All individuals signed the informed consent form. The study was approved by the Ethics Committee of both institutions (CAPPesq 0186/ 11 e CEP/Einstein n°10/1480).

We selected three groups of subjects:

  1. individuals with CLBP and sick-leave demands (CLBP_L);

  2. individuals with CLBP without sick-leave demands (CLBP_NL);

  3. individuals without any form of chronic pain or sick-leave demands (Control).

The three-group design was used to promote a stricter comparison regarding the mechanisms related to sick-leave demands and not CLBP (CLBP_NL) and a baseline comparison to normal expected brain response to the same stimulus in subjects without a CBPL component (Control).

Inclusion criteria for CBLP groups

  1. localized pain between the last ribs and the gluteal folds, present most of the time for more than 12 weeks

  2. Numeric Rating Scale (NRS) pain score in the last 7 days ≥5 (ranging from 0 to 10)

  3. Functional disability defined by a score ≥ 10 in the Rolland Morris questionnaire [ 1919. Nusbaum L, Natour J, Ferraz MB, et al. Translation, adaptation and validation of the Roland-Morris questionnaire -- Brazil Roland-Morris. Braz J Med Biol Res. 2001;34:203-10. ]

  4. Age between 35 and 60 years

  5. Right-handed individuals

Inclusion criteria for the CLBP_L group

Sick-leave demands was verified by an initial interview. Workers with back pain were included if on temporary sick-leave demands or requiring sick-leave demands.

Inclusion criteria for control group

No previous history of CBLP as investigated in a clinical interview by a trained rheumatologist.

Exclusion criteria for all groups

Diagnosis of inflammatory joint disease; Lumbar pain with radiation to the lower limbs below the knees or with characteristic nerve root dermatomal distribution; Diagnosis of spinal stenosis; History of spine surgery; Diagnosis of symptomatic lower limb osteoarthritis; Current or previous vertebral fractures; Current or previous diagnosis of neoplasia; Decompensated underlying chronic disease that, at the medical judgment, would impair the analysis; Subjects illiterate or unable to understand instructions.

Experimental pain assessment

Two devices were developed (Zurc & Zurc Ltda, São Paulo, Brazil) based on a similar apparatus used by Gracely et.al [ 2020. Gracely RH, Geisser ME, Giesecke T, Grant MA, Petzke F, Williams DA, et al. Pain catastrophizing and neural responses to pain among persons with fibromyalgia. Brain. 2004;127(Pt 4):835–43. ]. intended to accurately synchronize pressure painful stimuli with image MRI acquisition. One device was operated manually and was used to evaluate the pain threshold before image acquisition, outside the MR scanning room (A1). It is composed of a metallic platform where weights are placed for calibration, providing stimulus pressure by a hydraulic circuit.

The second device was designed to operate inside the MR scanning room with materials based in acrylic and other non-ferromagnetic materials (A2). It operates in a similar way; however, it is activated by a computer-controlled pneumatic system. In both devices, the individual holds a stick for correct positioning of the left thumb inside a box in which a plunger exerts a set pressure to the nail surface for each experiment. Custom software synchronizes delivery of painful stimuli and fMRI image acquisition.

Procedures on the day of data collection

Self-assessment questionnaires

Subjects answered the following previously validated questionnaires:

  • Questionnaire of socio-economic classification (ABA-ABIPEME Criterion of the Brazilian Association of Advertisers - Brazilian Association of Market Research Institutes, Brazil 2008).

  • Beck Depression Inventory (BDI) composed of 21 items with scores ranging from 0 to 63. Scores above 15 denotes depressive symptoms [ 2121. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry. 1961;4:561–71 PubMed PMID: 13688369. ].

  • Anxiety Inventory (IDATE) which is divided into two questionnaires evaluating anxiety as a state (IDATE-E) and anxiety as a trait (IDATE-T). The anxiety state reflects a transient reaction directly related to a situation of adversity whereas the anxiety trait refers to a more stable aspect related to the propensity of the individual throughout life. The score varies from 20 to 80 points, and higher values indicate higher levels of anxiety [ 2222. Fioravanti ACM, Santos LF, Maissonette S, Cruz APM, Landeira-Fernandez J. Avaliação da estrutura fatorial da Escala de Ansiedade-Traço do IDATE. Aval psicol. 2006;5(2):217–24 [citado 2019 Dez 20]. ].

  • Brazilian version of the Fear Avoidance Questionnaire (FABQ) composed of two subscales FABQ-Phys (ranging from 0 to 24) and FABQ Work (ranging from 0 to 42). Higher scores indicate greater Fear-Avoidance [ 2323. Abreu AM, Faria CDCM, Cardoso SMV, Teixeira-Salmela LF. Versão Brasileira do fear avoidance beliefs questionnaire. Cad Saúde Pública. 2008;24(3):615–23. ].

Evaluation of the pain threshold

The subjects were sit on a chair next to the apparatus used to assess the pain threshold, this equipment was protected by a screen so the subjects could not see the weight used for adjusting the force applied to the finger nail. Subject hand only to sustain the device where he or she would receive the pressure stimuli. The pain sensitivity to pressure was verified through a threshold of supra-threshold sensations, descriptor of pain intensity and discomfort, this evaluation was performed before the acquisition of the images, using numerical pain scale (NRS) ranging from 0 to 10.

The subjects were submitted to increasing pressor stimulation to the left thumb, with duration of 5 s, with the aid of rigid rubber probe, connected to a piston that operated manually, apparatus mentioned above (A1). The stimuli were applied to grade the intensity and discomfort of the painful sensation evoked, beginning with 1 kg-cm2 and gradual increase of 0.5 kg-cm2 until the individual reported a pressure capable of producing a medium-intensity pain (7 points in NRS), or up to a maximum of 7 kg / cm2. The subject received a maximum of 13 stimuli (with intensity of 1; 1.5; 2; 2.5; 3; 3.5; 4; 4.5; 5; 5.5; 6; 6.5; 7 kg / cm2) applied only once. The weight used to induce medium intensity pain was increased by 1 kg / cm2 and later used in the pain paradigm performed within the functional magnetic resonance imaging apparatus at the time of data collection.

A pilot study showed that subjects undergoing repeated pain stimulated habituation to pain and reduced pain intensity at the end of the study compared to the initial test. Adding 1 kg to the predetermined value. This step ensured delivery of the supra-threshold pain-stimulus.

Data collection - fMRI acquisition

Individuals were positioned in the MR system in dorsal decubitus position. The pressure device was placed on the left thumb. Total MR experiment lasted approximately 50 min, including anatomical image acquisition and paradigm pain. All images were acquired in 3.0 Tesla MR System (Siemens Tim Trio, Erlangen, Germany) with 12 channel head coil. The visual stimuli presentation and subject response synchronization were made using eye goggles and a trigger box from NNL Systems (Nordic Neuro Lab, Bergen, Norway). The fMRI acquisition was based on T2*-weighted echo planar (EPI) images for the whole brain. Thirty two axial slices were acquired following AC-PC angulation. The acquisitions parameters for fMRI were: TR = 2000 ms, TE = 30 ms, 3,2 mm of slice thickness, 0.8 mm of interslice gap, FOV = 210 mm, matrix 64X64 (isotropic voxels), discarding the first 4 volumes, necessary for the MR signal to reach steady state. We used an event-related fMRI paradigm. Pain (pressure) was maintained constant for 2 s, with 14 s of rest. The Interstimulus interval was fixed (16 s). The acquisition duration of 180 volumes was 5:06 min. We also collected T1-weighted sagittal high-resolution structural image with 192 slices for co-registration with the fMRI data with the following. Parameters: T1-weighted GRE (MPRAGE) 1 mm isotropic voxel, TR = 2500 ms, TE = 3.45 ms, FOV = 265 mm, IR = 1100, flip angle 7 degrees.

Image processing

Data processing and statistical analyses were conducted using FSL ( www.fmrib.ox.ac.uk/fsl/ ). The volumes were processed by movement correction (MCFLIRT), high pass filter cutoff (50s), spatial smoothing (FWHM = 5 mm) and spatial normalization to standard space (affine, 12 DoF). The activation maps were produced using FILM routines for the general linear model (GLM), which is based on semiparametric estimation of residuals autocorrelation [ 2424. Woolrich MW, Ripley BD, Brady M, Smith SM. Temporal autocorrelation in univariate linear modeling of FMRI data. Neuroimage. 2001;14(6):1370–86. ]. Statistical images were thresholded using Gaussian random field-based cluster inference with a threshold of Z > 2.3 at the voxel level and a corrected cluster significance threshold of P < 0.05 FDR (False Discovery Rate) corrected.

A covariance analysis was also performed considering the pressure applied during the pain task as covariate for BOLD effect.

fMRI behavioural data was analyzed using Kruskal-Wallis tests to compare the three groups and Mann-Whitney tests for two groups. Results are presented for estimated odds ratios, 95% confidence intervals and p values. The significance level adopted was 5% and the analyses were performed with the aid of the R package [ 2525. Faraway JJ. Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models. Boca Raton: Chapman & Hall/CRC; 2006.2727. R Core Team. R: a language and environment for statistical computing. Vienna: R Foundation for statistical computing; 2015. URL http://www.R-project.org/.
http://www.R-project.org/...
].

Results

Seventy-four individuals were included and were divided into three groups: CLBP_L ( N = 24), CLBP_NL ( n = 25) and controls (n = 25). No significant differences were observed in mean age (48.5 ± 5. 7 vs. 48 ± 6 vs. 45 ± 7 years, respectively, p = 0.530) and frequencies of female gender (68% vs. 68% vs. 41. 7%, respectively, p = 0.097).

The groups were homogeneous regarding body mass index (BMI) and socioeconomic classification. The two groups of CLBP individuals showed no difference in NRS.

In the CLBP_L, no patient was on definitive sick-leave demands; 10 patients (42%) were away for more than 5 years.

Table 1 shows that CLBP_L were significantly more depressive ( p = 0.030 vs control), had lower education ( p = 0.010 vs CLBP_NL; p = 0.048 vs control), had greater functional disability measured by QRM (p = 0.003 vs CLBP_NL), presented higher scores for IDATE-T ( p = 0.004 vs CLBP_NL; p = 0.033 vs control) and IDATE-E ( p < 0.001 vs CLBP_NL; p < 0.001 vs control), presented higher FABQ-work ( p = 0.001 vs CLBP_NL) but not in the FABQ-physic. All FABQ-work questions were significantly more frequent in the CLBP_L group. The mean pressure used to provoke pain of moderate intensity was lower for CLBP_NL ( p < 0.001 vs controls).

Table 1
Group characteristics and results of pressure pain tests

fMRI results - pain task

All study groups showed acute pressure pain evoked activation in areas related to the pain matrix: S1, S2, thalamus, insula, prefrontal cortex and anterior cingulate cortex, without significant differences between groups ( Fig. 1 ). When we performed the covariate analysis considering the weight used in the pain test, because the groups needed different weight to produce the same intention of moderate pain, verified significant differences in comparison CLBP_NL > CLBP_L with higher intensity voxels on the anterior cingulate and upper and middle frontal gyrus ( p < 0.001) and in the comparing the group Controls > CLBP_L, we found significant differences in the frontal pole and paracingulate region ( p < 0.001) ( Fig. 2 ). No statistical difference was observed when other covariates were tested.

Fig. 1
Hemodynamic response, after painful stimulation, in the three groups studied, showed activation in the areas related to the pain matrix
Fig. 2
3D image of brain containing result of fMRI covariate analysis considering the weight used in the pain paradigm

Discussion

Chronic low back pain has been recognized as a Western epidemic for a several decades and the prevalence of CLBP is still increasing. The reason why a significant minority of low back pain individuals evolves into a chronic pain state remains unclear. Current theory supports the role of biological, psychological, and environmental factors in the etiology, exacerbation, and maintenance of chronic pain. These factors impact the occupational setting such that low back pain often leads to long-term sick-leave demands and associated emotional and economic burden. Low back pain is the leading cause of years lived with disability in both developed and developing countries with profound economic effect [ 2828. Maher C, Underwood M, Buchbinder R. Non-specific low back pain. Lancet. 2017;389:736–47. https://doi.org/10.1016/s0140-6736(16)30970-9.
https://doi.org/10.1016/s0140-6736(16)30...
]. Three decades ago Waddell noted the diminishing probability of returning to work with increasing time away from work [ 88. Waddel G. A new clinical model for the treatment of low Back pain. Spine. 1987;12(7):632-44. ]. The objective of this study was to compare the neuronal correlates of CLBP individuals with or without sick-leave demands. To the best of our knowledge this is the first study comparing functional neuroimaging in these two groups.

Individuals in our study practiced professions commonly associated with back pain and sick-leave demands. The group CLBP_L had a lower education level, more anxiety, depression, fear avoidance and disability.

Studies have shown an association between pain-related fear of movement as measured by the Fear-Avoidance Beliefs Questionnaire (FABQ) and treatment response [ 2929. Feitosa AS, Lopes JB, Bonfa E, Halpern AS. A prospective study predicting the outcome of chronic low back pain and physical therapy: the role of fear-avoidance beliefs and extraspinal pain. Rev Bras Reumatol. 2016. https://doi.org/10.1016/j.rbr.2015.11.001.
https://doi.org/10.1016/j.rbr.2015.11.00...
]. A positive correlation has been reported between FABQ scores and disability, pain, and reduced return-to-work rate. It has been suggested that fear avoidance beliefs could increase pain perception [ 3030. Garland EL. Pain processing in the human nervous system: a selective review of nociceptive and biobehavioral pathways. Prim Care. 2012;39(3): 561–71. https://doi.org/10.1016/j.pop.2012.06.013. ]. In the same manner depression has been linked to increased risk for chronicity in nonspecific back pain, although this relationship is considered bi-directional [ 3131. Fernandez M, Colodro-Conde L, Hartvigsen J, Ferreira ML, Refshauge KM, Pinheiro MB, et al. Chronic low back pain and the risk of depression or anxiety symptoms: insights from a longitudinal twin study. Spine J. 2017; 17(7):905–12. https://doi.org/10.1016/j.spinee.2017.02.009.
https://doi.org/10.1016/j.spinee.2017.02...
].

In our study, we performed an analysis covariating with the weight set individually to match the perceived pressure used in the fMRI acute stimulus. Giesecke et al. [ 1717. Giesecke T, Gracely RH, Grant MA, Nachemson A, Petzke F, Williams DA, et al. Evidence of augmented central pain processing in idiopathic chronic low back pain. Arthritis Rheum. 2004;50(2):613-23. ], reported that individuals with CLBP and control group experienced the same pain intensity when different levels of pressure were applied. In this analysis covariating by objective weight, we verified an increase in the fMRI signal at the anterior cingulate and right superior/ middle frontal gyrus in the CLBP_NL group compared with CLBP_L individuals. We also noted an increase in fMRI signal in the control (asymptomatic) group at the frontal pole and paracingulate cortex in comparison with the CBLP_L group.

The superior frontal gyrus (GFS) includes the premotor cortex and supplementary motor, dorsolateral prefrontal cortex (associated with logic and calculations) and prefrontal cortex (related to planning, decision-making thoughts, attention and working memory) [ 3232. Vernet M, Quentin R, Chanes L, Mitsumasu A, Valero-Cabré A. Frontal eye field, where art thou? Anatomy, function, and non-invasive manipulation of frontal regions involved in eye movements and associated cognitive operations. Front Integr Neurosci. 2014;8:66 Published 2014 Aug 22. https://doi.org/10.3389/fnint.2014.00066.
https://doi.org/10.3389/fnint.2014.00066...
]. The activity of the prefrontal cortex medial (mCPF) is correlated with the amount of pain reported by patients and with spontaneous pain. Increased frontal activity may be due to improved cognitive and emotional processing13.

Brain activity related to the subjective perception of chronic pain may be distinct from brain activity related to acute pain [ 3333. Hashmi JA, Baliki MN, Huang L, Baria AT, Torbey S, Hermann KM, et al. Shape shifting pain: chronification of back pain shifts brain representation from nociceptive to emotional circuits. Brain. 2013;136(9):2751–68. https://doi.org/10.1093/brain/awt211.
https://doi.org/10.1093/brain/awt211...
] evaluated fMRI brain activity patterns in the transition from acute to chronic pain. They showed that brain activity in the subacute phase was limited to regions normally involved in acute pain whereas in the chronic back pain group, activity was confined to emotion-related circuitry.

In our study, we did not evaluate spontaneous back pain, but rather pressureevoked acute pain applied at a neutral site. Baliki, et al., [ 3434. Baliki MN, Chialvo DR, Geha PY, Levy RM, Harden RN, Parrish TB, et al. Chronic pain and the emotional brain: specific brain activity associated with spontaneous fluctuations of intensity of chronic back pain. J Neurosci. 2006; 26(47):12165–73. ] studied chronic back individuals while rating their spontaneous pain and compared back pain individuals with a control asymptomatic group for pain response to thermal stimulation. The authors described a double-dissociation between the medial prefrontal cortex (mPFC) activity and insula. While brain activity in the mPFC correlated with the intensity of spontaneous pain, brain regions commonly observed for acute pain correlated with thermal stimulation (the mPFC is known to be involved in negative emotions especially in relation to the self).

A recent systematic review analyzed the available literature on structural and functional brain abnormalities in chronic low back pain. S ix studies evaluated brain activity in response to a nociceptive stimulus, three of these with mechanical stimulation.

Overall these studies disclosed some evidence of increased activity in pain-related regions and decreased activity in analgesic regions [ 3535. Kregel J, Meeus M, Malfliet A, Dolphens M, Danneels L, Nijs J, et al. Structural and functional brain abnormalities in chronic low back pain: a systematic review. Semin Arthritis Rheum. 2015;45(2):229–37. ].

Our study also showed an increased activity in primary sensory regions related to pain, but without a significant difference between the groups. However, when we considered the difference in objective pressured applied and perceived pain, we did find a reduced fMRI signal in a frontal region usually related to the processing and emotional aspects of pain, in the CBLP_L group when compared to the CLBP_NL and control group. We hypothesize pos hoc that these areas could be already chronically activated in individuals on sick-leave demands. Negative emotions are associated with increased activation in the anterior cingulate córtex [ 3030. Garland EL. Pain processing in the human nervous system: a selective review of nociceptive and biobehavioral pathways. Prim Care. 2012;39(3): 561–71. https://doi.org/10.1016/j.pop.2012.06.013. ] and other areas that mediate the processing of emotions and are important nodes that tend to toward pain.

Individuals with CLBP (or other chronic pain conditions) are more sensitive and activate to greater number of cortical areas related to the pain matrix when compared to individuals without pain [ 1212. Apkarian AV. The brain in chronic pain: clinical implications. Pain Management. 2011;1(6):577–86. ]. The idea that individuals with CLBP are thought to be “more sensitive” to pain is interesting mainly when clinically evaluating this patient, that frequently presenting with medically unexplained persistent of pain.

Further studies are needed to verify whether individuals on sick-leave demands can be regarded as a distinct subgroup with specific risk factors and distinctive physiopathology mechanisms for chronicity, thus requiring differential treatment from that usually used for the broad-spectrum of CLBP patients.

Conclusion

The modulation of acute pain participates in the mechanism propagating chronic pain perception. The lower activation in the superior frontal gyrus observed in the CLBP_L group compared to CLBP_NL, reinforces the idea of an already existing activation in this area.

  • Disclosures
    The authors declare no conflict of interest.
  • Funding
    This work was supported by the IIEP: Instituto Israelita de Ensino e Pesquisa Albert Einstein – São Paulo, SP, Brazil (CEP/Einstein n°10/1480) and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior do Ministerio de Educação (CAPPesq 0186/11). Supported by grants from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq #306879/2018–2 to EFB) and CAPES #88882.328107/2014–01 for AF).
  • Availability of data and materials
    Materials and data available for consultation.
  • Ethics approval and consent to participate
    The study was approved by the Ethics Committee of both institutions (CAPPesq 0186/11 e CEP/Einstein n°10/1480).
    All individuals signed the informed consent form.
  • Consent for publication
    Not applicable.
  • Publisher's Note
    Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Acknowledgements

We would like to thank the Brain Institute of Hospital Israelita Albert Einstein and Rheumatology Division, HCFMUSP Clinical Hospital, Faculty of Medicine, University of Sao Paulo for all the support in conducting this clinical research.

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Publication Dates

  • Publication in this collection
    11 Sept 2020
  • Date of issue
    2020

History

  • Received
    21 Dec 2019
  • Accepted
    14 Aug 2020
  • Published
    01 Sept 2020
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