Introduction
White matter hyperintensities (WMHs) appear as hyperintense signals on T2-weighted magnetic resonance images (MRI) and represent ependymal loss and differing degrees of myelination in the brain [
1,
2]. WMHs, depending on the localization, are commonly classified as periventricular white matter hyperintensities (PWMHs) and deep white matter hyperintensities (DWMHs). WMHs have been reported to be commonly associated with older age and cardiovascular risk factors such as hypertension and diabetes [
3‐
5]. Degenerative changes in brain white matter have been reported to be associated with mood disorders and suicidal behavior both in children and young adults [
6‐
13]; however, they seem not to be specific to first episode psychotic disorders [
14]. Taylor and colleagues hypothesized that patients with WMHs may be at a higher risk for suicide and developing mood disorders due to a possible disruption of neuroanatomic pathways [
15]. Mood regulation depends on the complex extensive connections between the prefrontal cortex, amygdala–hippocampus complex, thalamus and basal ganglia [
16].
Studies in both clinical and community-based settings have demonstrated the association between migraine and a number of specific psychiatric disorders, particularly major affective disorders [
17‐
23]. Previous researchers have hypothesized that the relation between migraine and psychiatric disorder may be bi-directional given that migraine patients have a more than threefold risk of developing depression and the presence of depression is also associated with a greater risk of developing a migraine [
21,
24].
Since the 1990s, brain MRI studies have investigated the presence of focal hyperintense abnormalities in patients with migraine [
25]. Chronic migraine has been associated with the presence of white matter hyperintensities and migraine attack frequency, and attack history may be considered as a contributor of brain abnormalities in migraineurs [
25]. In a sample of 28 patients with migraine, using high-resolution T1- and diffusion-weighted MRI and optimized voxel-based morphometry to localize gray and white matter density, Schmitz et al. [
26] found that regions of brain abnormalities in migraineurs were mainly located in the frontal lobes, brainstem, and the cerebellum, and both attack frequency and disease duration predicted brain damage in migraine patients. To date, although the cause of migraine, particularly with aura, is commonly recognized as ischemic, which is consistent with its association with vascular risk factors [
25], the natural history of white matter abnormalities in migraine patients is not completely understood. The relation between increased volume of white matter hyperintensities and a history of severe headache is also a matter of debate.
The structures and functions of a major motivational system, the Behavioral Inhibition System (BIS), have been described by Gray [
27] in 1994. It has been suggested that the BIS modulates behavioral inhibition, anxiety, attention, and arousal towards signals of fear stimuli and punishment [
28,
29]. A strong BIS is indicative of anxiety and inhibition even if few fear stimuli are present, whereas a weak BIS may not contribute to anxiety and inhibition even when severe stimuli occur. Gray [
27,
28] also described the behavioral activation system (BAS) as a regulatory system measuring positive affect and approach behavior towards signals of reward. BAS activity may trigger positive affect and increase the likelihood of incentive acquisition. Refractoriness to incentives, low positive affect, and an absence of environmental engagement may be associated with a weak BAS [
30].
As suggested by Gray [
27,
28], the BIS may be considered an anxiety system and its activity may be investigated in several psychiatric conditions [
31]. The BIS scale [
32] includes seven items and assesses the tendency to respond with negative affect, anxiety, or fear in response to threatening events. The BAS scales [
32] describe the tendency to respond with positive affect and motivation when faced with incentives or rewards. To our knowledge, no studies have investigated the sensitivity of the BIS and activation of the BAS concurrently with self-reported depression among patients with WMHs and chronic migraine.
In the present study, we aimed to assess whether WMHs are associated with self-reported depressive symptoms and different sensitivity of the BIS and BAS systems in patients with chronic headache.
Results
Above 40 % of patients had PWMHs and almost 98 % had DWMHs (see Table
2). Due to the low number of participants included in some categories, we collapsed levels of severity of white matter hyperintensity into two classes: (1) periventricular lesions were categorized in absent/present; and (2) deep lesions assessed as 0 and 1 at the Fazekas were collapsed together while levels 2 and 3 were combined.
Patients with PWMHs differed from those without periventricular lesions on depression severity (
t77.76 = 2.30;
P < 0.05) (Table
3). Patients with PWMHs had lower CES-D scores (13.79 ± 7.51 vs. 18.19 ± 9.68) than patients without PWMHs. Groups did not differ in age (
P = 0.37), sex (
P = 0.17), or for scores on the BIS/BAS scales.
Table 3
Differences between groups
Men | 14.3 % | 25.0 % | | <0.17 | 20.0 % | 17.1 % | | <0.48 |
Age | 49.02 ± 12.76 | 51.58 ± 12.96 | t83 = −0.90 | <0.37 | 47.40 ± 11.91 | 53.89 ± 13.26 | t83 = −2.34 | <0.05 |
CES-D | 18.19 ± 9.68 | 13.79 ± 7.51 | t77.76 = 2.30 | <0.05 | 15.69 ± 8.35 | 17.47 ± 10.13 | t83 = −0.86 | <0.39 |
CES-D ≥ 16 | 52.1 % | 36.4 % | | <0.12 | 44.9 % | 46.9 % | | <0.52 |
Drive | 10.49 ± 2.60 | 10.89 ± 2.89 | t83 = −0.67 | <0.51 | 11.14 ± 2.52 | 9.97 ± 2.86 | t83 = 1.99 | <0.05 |
Fun seeking | 10.16 ± 2.50 | 10.19 ± 2.62 | t83 = −0.06 | <0.96 | 10.44 ± 2.45 | 9.80 ± 2.63 | t83 = 1.15 | <0.25 |
Reward responsiveness | 16.76 ± 2.43 | 16.97 ± 2.25 | t83 = −0.42 | <0.68 | 17.24 ± 2.11 | 16.29 ± 2.57 | t83 = 1.88 | <0.06 |
BIS | 22.16 ± 3.41 | 22.53 ± 3.20 | t83 = −0.50 | <0.62 | 22.34 ± 3.09 | 22.29 ± 3.64 | t83 = 0.07 | <0.94 |
Groups with different severity of DWMH lesions differed in age (t83 = −2.34; P < 0.05) and on the mean scores of the drive dimension of the BIS/BAS scales (t83 = 1.99; P < 0.05). Specifically, patients with more severe DWMHs were older (53.89 ± 13.26 vs. 47.40 ± 11.91) and reported lower scores on the drive dimension (9.97 ± 2.86 vs. 11.14 ± 2.52) than patients with mild or without any deep lesion.
The variables found to be significant at the bivariate level were inserted as independent variables in two generalized linear models with groups as dependent variables (see Table
4,
5). The models fit the data well (PWMH: Likelihood ratio
χ
1
2
= 5.83;
P < 0.05; DWMH: Likelihood ratio
χ
2
2
= 8.24;
P < 0.05). Patients with PWMHs were 1.06 times more likely to have lower CES-D scores (
P < 0.05) than patients without PWMHs. Patients with more severe DWMHs were 1.04 times more likely to be older (
P < 0.05) than patients with mild or without any DWMH lesions.
Table 4
Generalized linear model: criterion PWMHs
CES-D | −0.07 | 0.03 | −0.13 | −0.01 | 4.66 | 1 | 0.05 | 0.94 | 0.88 | 0.99 |
Table 5
Generalized linear model: criterion DWMHs
Drive | −0.16 | 0.09 | −0.33 | 0.02 | 3.15 | 1 | 0.08 | 0.86 | 0.72 | 1.02 |
Age | 0.04 | 0.02 | 0.01 | 0.08 | 5.23 | 1 | 0.05 | 1.04 | 1.01 | 1.08 |
Discussion
Our aim was to assess whether WMHs were associated with depressive symptoms and sensitivity of the BIS and BAS systems in patients with chronic headache. Our findings suggest that differences in brain lesions are associated with differences in age and self-reported depression severity as measured by the CES-D.
Specifically, in multivariate analyses, individuals with PWMHs were more likely to report fewer depressive symptoms as compared with patients without PWMHs. These findings contradict our previous results regarding the association between white matter abnormalities and both unipolar and bipolar depression [
8,
11,
14]. However, in our previous samples, we investigated patients with specific psychiatric conditions such as unipolar and bipolar disorders, whereas the current sample includes only individuals with chronic migraine without any evidence of comorbid psychiatric disorders. This may suggest that the association between WMHs and higher levels of depression is specific to particular subgroups of patients who have a psychiatric disorder [
11,
12,
14], and it may not be a factor among inpatients with medical conditions.
Whether the presence of WMHs predicts a poor prognosis in specific at-risk subgroups of patients has not been clearly established. Taylor et al. [
44] found a relation between the progression and severity of WMHs and negative long-term outcomes in depressed patients. Prefrontal WMHs have been associated with cognitive dysfunctions in depressed older patients, poor or delayed antidepressant response [
45], and poor treatment outcomes were associated with subcortical and basal ganglia, but not periventricular hyperintensities [
46]. In contrast, there have been studies which reported no differences in treatment response and functional outcomes between elderly patients with and without WMHs [
47,
48].
In our sample, those patients with more severe DWMHs differed from patients with mild or no DWMH lesions, as they were more likely to be older. Previous studies have strongly suggested that patients with migraine, particularly those diagnosed as having migraine with aura and at least 12 migraine episodes per year [
49‐
51], are at an increased risk (with an odds ratio of 3.9) for subclinical brain infarct-like lesions, even after controlling for the most common cardiovascular risk factors and a history of cardiovascular diseases [
52]. Unfortunately, we only examined the effect of age and did not consider whether patients with more pronounced cardiovascular risk factors were more likely to have DWMHs.
Although DWMHs have been suggested to have mainly a vascular origin, recent studies have reported that these brain lesions may reverse over time raising questions about their hypothetic ischemic origin [
53,
54]. It has been demonstrated that frequent migraine attacks may be associated with increased iron concentration/accumulation in deep nuclei which is involved in central pain processing. These findings suggest that iron accumulation might have a possible role in determining chronic migraine [
49]. Other hypotheses have been proposed to explain the existence of white matter abnormalities in migraineurs although definitive conclusions are still not established. It has been suggested that recurrent migraine attacks may affect vulnerable deep tissues penetrating arteries and contributing to local critical hypoperfusion leading to minor brain injury observed as white matter abnormalities. Other proposed mechanisms have been suggested including atherosclerotic insults associated with the presence of cardiovascular risk factors [
55,
56], endothelial dysfunction (e.g., both endothelial activation and impaired vascular reactivity) [
57‐
59], genetic risk factors which are common in migraine and stroke [
60], drugs commonly used to treat headache, having vasoconstrictor activity [
61], and cardiac dysfunctions such as patent foramen ovale. In addition, irrespective of whether endothelial dysfunction is linked to platelet aggregation, recurrent endothelial insults may lead to microvascular brain damage contributing to white matter lesions [
62].
The present study must be considered in the light of the following limitations. The small sample size limits the generalizability of the current findings. In addition, our MRI study was limited by low spatial resolution and performed using only a 1.5 T MRI scanner. Studies using a 3 T MRI scanner having a higher resolution are able to detect a higher number and more precise extents of WMHs. An analysis quantifying total white matter lesion volume would strengthen the findings. Diffusion tensor imaging techniques may be more sensitive in detecting white matter abnormalities in association with mood disorders. Recently, some authors [
63] have demonstrated ‘‘occult’’ brain damage in migraine patients using diffusion-weighted MRI, particularly tractography.
Furthermore, the Fazekas modified rating scale, which was used to measure the frequency and intensity of white matter lesions, is a quantitative lesion assessment method that may be limited since it is a visual rating scale less objective than many volumetric methods available. Also, we have not systematically assessed clinical disease course, age, gender, comorbidities, or history of substance abuse and dependence in the individuals recruited. In addition, some limitations regarding the utilization of the CES-D must be mentioned. Lack of consistency in some item responses in the measurement of depression suggests that response patterns may be affected by unique conceptualizations of depression among different ethnic groups [
64]. Although the stability and applicability of the CES-D Scale with various ethnic groups have been widely assessed, few studies have addressed the cross-contextual generalizability of the CES-D Scale.