Construction of a medication dependence questionnaire in headache patients (MDQ-H) validation of the French version

Severe migraine and its control: A proposal for definitions and consequences for care

Currently many patients with severe migraine do not receive appropriate treatment and are never referred to specialist headache centres. On the other hand, specialist headache centres are frequently attended by patients whose migraines could be managed adequately in the community. One reason for this may be the absence of standardised definitions of migraine severity and control and of a treatment algorithm for orientating difficult-to-treat patients to specialist headache centres. Based on a review of the relevant literature and consensus meetings, proposals have been made for these items. We propose that migraine should be considered severe if headache frequency is at least eight migraine days per month or, if headaches are less frequent, the HIT-6 score is ≥60 or ≥50% of headaches require complete interruption of activity. The proposed definition of migraine control is defined on the basis of appropriate response to acute headache therapy and to preventative therapy. A treatment algorithm is proposed to assess migraine control regularly and to adapt therapy accordingly. These proposals may contribute to developing and testing strategies for management of severe disease with appropriate and effective preventive treatment strategies. With the anticipated introduction of new possibilities for migraine prevention in the near future, the time is ripe for a holistic approach to migraine management.

Clinical and biobehavioral perspectives: Is medication overuse headache a behavior of dependence?

Medication overuse headache (MOH), previously known as analgesic abuse headache or medication misuse headaches, is a common form of chronic headache disorder that has a detrimental impact on health and society. Although it has been widely accepted that overusing abortive medications is paradoxically the cause of MOH and drug discontinuation is the treatment of choice, ongoing debates exist as to whether drug consumption per se is the cause or consequence of headache chronification. Certain features in MOH such as their compulsive drug-seeking behavior, withdrawal headaches and high relapse rates share similarities with drug dependence, suggesting that there might be common underlying biological and psychobehavioral mechanisms. In this regard, this article will discuss the updated evidence and current debates on the possible biobehavioral overlap between MOH and drug dependence. To begin with, we will discuss whether MOH has characteristics of substance dependence based on standard psychiatry diagnostic criteria and other widely used dependence scales. Recent epidemiological studies underscoring common psychiatric comorbidities between the two disorders will also be presented. Although both demonstrate seemingly distinct personality traits, recent studies revealed similar decision-making impairment from a cognitive perspective, indicating the presence of a maladaptive reward system in both disorders. In addition, emerging imaging studies also support this notion by showing reversible morphological and functional brain changes related to the mesocorticolimbic reward circuitry in MOH, with a strong resemblance to those in addiction. Finally, an increased familial risk for drug dependence and genetic association with dopaminergic and drug dependence molecular pathways in MOH also support a possible link between MOH and addiction. Understanding the role of dependence in MOH will have a great impact on disease management as this will provide the missing piece of the puzzle in current therapeutic strategies.

Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data

BACKGROUND

Feature selection methods are commonly used to identify subsets of relevant features to facilitate the construction of models for classification, yet little is known about how feature selection methods perform in diffusion tensor images (DTIs). In this study, feature selection and machine learning classification methods were tested for the purpose of automating diagnosis of migraines using both DTIs and questionnaire answers related to emotion and cognition - factors that influence of pain perceptions.

METHODS

We select 52 adult subjects for the study divided into three groups: control group (15), subjects with sporadic migraine (19) and subjects with chronic migraine and medication overuse (18). These subjects underwent magnetic resonance with diffusion tensor to see white matter pathway integrity of the regions of interest involved in pain and emotion. The tests also gather data about pathology. The DTI images and test results were then introduced into feature selection algorithms (Gradient Tree Boosting, L1-based, Random Forest and Univariate) to reduce features of the first dataset and classification algorithms (SVM (Support Vector Machine), Boosting (Adaboost) and Naive Bayes) to perform a classification of migraine group. Moreover we implement a committee method to improve the classification accuracy based on feature selection algorithms.

RESULTS

When classifying the migraine group, the greatest improvements in accuracy were made using the proposed committee-based feature selection method. Using this approach, the accuracy of classification into three types improved from 67 to 93% when using the Naive Bayes classifier, from 90 to 95% with the support vector machine classifier, 93 to 94% in boosting. The features that were determined to be most useful for classification included are related with the pain, analgesics and left uncinate brain (connected with the pain and emotions).

CONCLUSIONS

The proposed feature selection committee method improved the performance of migraine diagnosis classifiers compared to individual feature selection methods, producing a robust system that achieved over 90% accuracy in all classifiers. The results suggest that the proposed methods can be used to support specialists in the classification of migraines in patients undergoing magnetic resonance imaging.

Brain structural investigation and hippocampal tractography in medication overuse headache: a native space analysis

BACKGROUND

Spatial normalization of brain images, a prerequisite for voxel based morphometry analysis, may account for the large variability of the volumetric data in medication overuse headache (MOH); possibly because this disease concerns patients differing on both sex and age, and hence with different brain size and shape.

METHODS

The present study aimed at providing a subject-based analysis of macrostructure using a native space volumes segmentation (Freesurfer), and microstructure using a region of interest (ROI: i.e. hippocampus) tractography approach in MOH patients.

RESULTS

The results show that MOH patients had decreased volumes of left hemisphere temporal gyri (temporal superior, fusiform) and occipital middle gyrus, together with an increased volume of the left inferior (temporal) lateral ventricle. The left temporal volume was negatively correlated with depression score and medication dependence parameters. Seed-based tractography of the hippocampus revealed a decreased number of reconstructed fibers passing through the left hippocampus.

CONCLUSION

To our knowledge, these alterations have not been described with methods involving brain normalization, and they indicate that left hemisphere temporal areas, including the hippocampus, may play a role in MOH pathophysiology. Trial registration number NCT00833209. Registered 29 January 2009.

Low cognitive reserve is associated with chronic migraine with medication overuse and poor quality of life

Objective

The objective of this article is to test the hypothesis that cognitive reserve (CR) is related to migraine chronification, medication overuse and poor quality of life in migraineurs.

Design/methods

A cross-sectional study on patients with chronic migraine with medication overuse (CM-MOH), episodic migraine (EM), and controls, matched by sex, age and education, was carried out. CR was assessed by a specific questionnaire, and quality of life was measured by general and specific questionnaires (SF-36 and MSQoL). Migraine Disability Assessment Scale and Beck questionnaires for depression and anxiety were used. Medication dependence was evaluated by the medication-dependence questionnaire in headache (MDQ-H).

Results

Fifty-five individuals were enrolled: 18 CM-MOH patients (32.73%), 22 EM patients (40%) and 15 controls (27.27%). Fifty (90.91%) of them were females and aged 43.53 (7.54) years. Univariate analysis showed a significant association between the study group and CR, and all items of the SF-36, anxiety and depression questionnaires, MSQoL and MDQ-H. The lower CR and CM-MOH group were related to a worse quality of life, more anxiety and depression and the highest medication dependence scores. Multivariate analysis showed that higher CR scores were related to higher quality of life as measured by the physical and mental composite scores of the SF-36, and to lower anxiety (beta = −1.08, p = 0.001) and depression (beta = −0.56, p = 0.03) levels. Focusing on MSQoL, the increase in CR was predictive of a better quality of life (beta = 1.88, p < 0.0001). By all the models, the explained variance of the sample ranged from 39% (mental composite score) to 58% (MSQoL).

Conclusions

Low CR appears to be an independent factor associated with the deterioration of quality of life, the presence of anxiety and depression, and drug dependence and medication overuse in CM-MOH.

Brain functional connectivity and morphology changes in medication-overuse headache: Clue for dependence-related processes?

BACKGROUND

Several imaging studies have identified localized anatomical and functional brain changes in medication-overuse headache (MOH).

OBJECTIVE

The objective of this article is to evaluate whole-brain functional connectivity at rest together with voxel-based morphometry in MOH patients, in comparison with episodic migraine (EM) patients and healthy controls (HCs).

METHODS

Anatomical MRI and resting-state functional MRI scans were obtained in MOH patients (n = 17 and 9, respectively), EM patients (n = 18 and 15, respectively) and HCs (n = 17 and 17). SPM8 was used to analyze voxel-based morphometry and seed (left precuneus) to voxel connectivity data in the whole brain.

RESULTS

Functional connectivity at rest was altered in MOH patients. Connectivity was decreased between precuneus and regions of the default-mode network (frontal and parietal cortices), but increased between precuneus and hippocampal/temporal areas. These functional modifications were not accompanied by significant gross morphological changes. Furthermore, connectivity between precuneus and frontal areas in MOH was negatively correlated with migraine duration and positively correlated with self-evaluation of medication dependence. Gray matter volumes of frontal regions, precuneus and hippocampus were also negatively related to migraine duration. Functional connectivity within the default-mode network appeared to predict anxiety scores of MOH patients while gray matter volumes in this network predicted their depression scores.

CONCLUSIONS

Our data suggest that MOH is associated with functional alterations within intrinsic brain networks rather than with macrostructural changes. They also support the view that dependence-related processes might play a prominent role in its development and maintenance.

Probable medications overuse headaches: validation of a brief easy-to-use screening tool in a headache centre

BACKGROUND

To validate a rapid questionnaire as a screening tool, because application of the diagnostic revised criteria of the ICHD-II for medication overuse headache (MOH) requires experience for the physician and is time-consuming.

METHODS

ICHD-II criteria for probable MOH (pMOH) were transformed in questions formulated in such a way that they could be self-administered, easily understood, and quickly filled out. We compared this questionnaire to the gold standard: the diagnosis made by headache specialists, based on the the ICHD-II criteria. Patients who were consulting for pMOH or migraine for the first time were consecutively included. As validity indicators, we calculated sensitivity, specificity, positive and negative predictive values of the items.

RESULTS

Seventy-nine patients were screened, 77 included, 2 female patients excluded. Forty-two patients have been considered as suffering from pMOH, 35 patients suffered from migraine without medication overuse. The association of the question "do you take a treatment for attacks more than 10 days per month" and the question "is this intake on a regular basis?" had a sensitivity of 95.2% and a specificity of 80%.

CONCLUSION

This screening tool can detect pMOH with a sensitivity that could be of interest to screen patients in clinical practice and to pre-include patients for research as epidemiological studies.

Psychological and neuropsychological correlates of dependence-related behaviour in medication overuse headaches: a one year follow-up study

Background

Medication Overuse Headache (MOH) can be related in some patients to dependence-related behaviour characterised by craving, a deficit in controlling substance intake, which is associated to orbitofrontal cortex (OFC) dysfunction. The aim of this study was to explore the psychological correlates in MOH patients and the functioning of the OFC through neuropsychological assessment (Iowa Gambling Task: IGT) and to relate it to prognosis at a one year follow-up point.

Findings

Seventeen subjects suffering from probable MOH were included and compared to 19 migraineurs and to 17 controls. The results show significant between group differences for behavioural dependence, depression, anxiety, catastrophizing. There were no between group differences for impulsivity. Mean IGT score did not allow differentiation of MOH patients from the other groups, whereas the score was significantly different between opiate abusers and other medication abusers (45 +/−5.7 versus 57.1 +/−8.2, p = 0.019). Among the clinical variables rated at inclusion, the amount of acute headache medication taken per month was the only one predicting the prognosis (RR = 1.05, 95% CI = 1-1.06, p = 0.04). A slight increase in risk of relapse at 1 year was observed in patients with poorer IGT scores (RR = 0.92, 95% CI = 0.85-1, p = 0.05) and higher behavioural-dependence scores (RR = 1.07, 95% CI = 1–1.14, p = 0.05). None of the other psychological variables predicted relapse risk.

Conclusions

These results must be interpreted with caution due to the low number of subjects. They showed a deficit in decision making processes in MOH patients who overuse medications containing psychoactive substances like opiates. Moreover dependence-related variables are related to the prognosis.

Dependent behavior in patients with medication-overuse headache

Two thirds of patients with medication-overuse headache (MOH) fulfilled criteria for dependence on acute symptomatic treatments for pain, not exclusive of psychoactive medications, based on the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders. Several questionnaires have been used to assess dependent behavior in patients with MOH. Findings regarding underlying psychological profiles of dependence and MOH are not consistent. Nevertheless, several neuroimaging, genetic, and neurobiological studies support the existence of the common pathophysiological features of dependence and MOH and suggest a link between them. This review highlights recent studies on the relationship between dependence and MOH. This issue is important because it implies a treatment strategy in managing patients with MOH by providing the treatment of dependence.

What is the role of dependence-related behavior in medication-overuse headache?

Medication-overuse headache (MOH) can be viewed as an interaction between the worsening of the primary headache course and individual predispositions for dependence. We present here a review of the clinical and biological data raising the role of dependence-related behavior in MOH. Indeed, several clinical studies show that acute headache medications containing psychoactive components (barbiturates, opiates) are associated with an increased risk of MOH. Diagnostic and Statistical Manual of Mental Disorders, 4th edition substance dependence criteria were identified in a sub-group of MOH patients. Comorbidity between MOH and substance-related disorders has also been showed. Recent neuroimaging, biological, and pharmacogenetic studies suggest the existence of an overlap between the pathophysiological mechanisms of MOH and those of substance-related disorders. These data support the proposition of separating 2 sets of MOH patients: the first one in which the illness is mainly due to the worsening of the headache course, and the second one in which behavioral issues are a major determinant of the illness. Detection of a psychological dependence component in a sub-group of MOH patients should have direct relevance to disease management.