Physiopathology, Diagnosis and Therapy of Primary Cephalalgia and Adaptive Disorders
Biomarker Identification to Predict the Evolution of Migraine From an Episodic to a Chronic Condition
The main aim of the present pilot study is to prove the possibility to use the Nitroglycerin (NTG) model to describe the pathophysiology of headache using task-free advanced Magnetic Resonance Imaging (MRI) techniques, in order to depict the static changes of the ictal and inter-ictal phase of migraine attacks vs the pain free state in healthy subjects and to compare that with the spontaneous headache attack experienced by chronic migraineurs.
調査の概要
状態
完了
条件
詳細な説明
Resting state functional magnetic resonance imaging (rs-fMRI) has depicted cyclical functional connectivity changes during the ictal and inter-ictal phase of the migraine attack. In this pilot study, Functional Connectivity (FC) changes during nitroglycerin (NTG) induced migraine attacks were assessed vs the pain-free condition in healthy subjects.
To this end, subjects with episodic migraine (EM) without aura were enrolled. NTG-triggered a spontaneous-like migraine attack in the subjects. They underwent 4 rs-fMRI scan repetitions during different phases of the attack (baseline, prodromal, full blown, recovery phase) with a 3 Tesla MR scanner. According to the pain field literature, several regions of interests were studied, in particular the thalamic areas and the salience network (SN) were selected as primary areas of interest for the analyses. Subjects' rs-fMRI data were first processed with a seed-based correlation analysis (SCA) to assess the static changes in FC between the thalamus and the rest of the brain during the experiment. The wavelet coherence approach (WCA) were also applied to test the changes in time-in-phase coherence between the thalamus and the salience network (SN).
Healthy subject were administered nitroglycerin as well and scanned at a pain free baseline and after 3 hours in order to compare the response.
The rebound headache that followed acute drug withdrawal were used as a surrogate paradigm of spontaneous attack. Patients with chronic migraine and medication overuse were hospitalized for a supervised withdrawal program at the Mondino Foundation; during the program if they experienced a rebound headache attack, they were scanned with a rs-fMRI acquisition.
The acquired imagines were analyzed with the same procedure regarding the evaluation of static and dynamic functional connectivity fluctuation.
研究の種類
観察的
入学 (実際)
15
連絡先と場所
このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。
研究場所
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Pavia、イタリア、27100
- Headache Science Center
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参加基準
研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。
適格基準
就学可能な年齢
18年～60年 (大人)
健康ボランティアの受け入れ
はい
受講資格のある性別
全て
サンプリング方法
非確率サンプル
調査対象母集団
Subjects with episodic migraine without aura; patients with chronic migraine and medication overuse; healthy subjects
説明
Episodic migraineurs
Inclusion Criteria:
- age between 18-60 years;
- diagnosis of episodic migraine without aura developed before the age of 50;
- no current prophylactic treatment for migraine prevention;
- chronic migraineurs with medication overuse according to the ICHDIII criteria
Exclusion Criteria:
- chronic or medication-overuse headache or cluster headache diagnosis;
- any chronic pain condition or disorders other than migraine;
- an alleged diagnosis of major psychiatric disorders such as depression, bipolar affective disorder and schizophrenia;
- a diagnosis of tension type headache with a frequency of more than 5 days per month;
- any cardiovascular diseases in which the NTG use could be contraindicated;
- blood pressure hypotension, closed angle glaucoma, anaemia;
- women in child bearing, breast feeding; continuous use of benzodiazepines;
- any neuroradiological pathological findings at a previous MRI scan of the head.
Chronic migraineurs
Inclusion Criteria:
- age between 18-60 years;
- diagnosis of migraine without aura developed before the age of 50 according to the ICHD III criteria;
- currently chronic migraineurs with medication overuse according to The International Classification of Headache Disorders 3rd edition (ICHDIII) criteria.
Exclusion Criteria:
- any chronic pain condition or disorders other than migraine;
- an alleged diagnosis of major psychiatric disorders such as depression, bipolar affective disorder and schizophrenia;
- a diagnosis of tension type headache with a frequency of more than 5 days per month;
- any cardiovascular diseases in which the NTG use could be contraindicated;
- blood pressure hypotension, closed angle glaucoma, anaemia; women in child bearing, breast feeding;
- continuous use of benzodiazepines;
- any neuroradiological pathological findings at a previous MRI scan of the head.
Healthy subjects
Inclusion Criteria:
- age between 18-60 years;
- overall good clinical condition, no neurological findings at the physical examination.
Exclusion criteria:
- history of episodic or chronic or medication-overuse headache or cluster headache diagnosis according to the International Chronic Headache Disease (ICHD) III criteria;
- any chronic pain condition or disorders other than migraine;
- an alleged diagnosis of major psychiatric disorders such as depression, bipolar affective disorder and schizophrenia;
- a diagnosis of tension type headache with a frequency of more than 5 days per month;
- any cardiovascular diseases in which the NTG use could be contraindicated;
- blood pressure hypotension, closed angle glaucoma, anaemia;
- women in child bearing, breast feeding;
- continuous use of benzodiazepines;
- any neuroradiological pathological findings at the baseline MRI scan of the head.
研究計画
このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。
研究はどのように設計されていますか？
デザインの詳細
コホートと介入
グループ/コホート |
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Chronic migraineurs
This group includes patients with chronic migraine.
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Control group
This group includes healthy subjects.
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Episodic migraineurs
This group includes patients with episodic migraine
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この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Functional Connectivity (FC) changes
時間枠：Up to 6 hours
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Functional connectivity pattern of changes profiling the different condition of the migraine experience.
To depict the static and dynamics changes of brain activity during a migraine attack; ii) To validate the use of the NTG-induced attacks paradigm as a reliable instrument combined with an fMRI approach to compare the induced vs the spontaneous attack; iii) To describe possible differences in brain activity between attacks in chronic and episodic migraineurs.
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Up to 6 hours
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Magnetic Resonance Imaging (MRI)
時間枠：Up to 6 hours
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To acquire sufficient MRI to identify feature patterns that can profile patient's condition using machine learning (ML) and deep learning (DL) algorithms.
This can be achieved by combining clinical, psychological, biological, neurophysiological and MRI-derived features into a multimodal multi-parametric approach suitable for patient's classification.
The ML and DL approaches could also be adopted to predict chronification, as well as the response to a withdrawal program for medication overuse headache.
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Up to 6 hours
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Monthly migraine frequency (day/month)
時間枠：Up to 6 hours
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To acquire clinical data to identify feature patterns that can profile patient's condition using machine learning (ML) and deep learning (DL) algorithms.
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Up to 6 hours
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Disease duration (years)
時間枠：Up to 6 hours
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To acquire clinical data to identify feature patterns that can profile patient's condition using machine learning (ML) and deep learning (DL) algorithms.
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Up to 6 hours
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Nausea (number)
時間枠：Up to 6 hours
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As a feature of the migraine attack.To acquire clinical data to identify feature patterns that can profile patient's condition using machine learning (ML) and deep learning (DL) algorithms.
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Up to 6 hours
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Vomiting (number)
時間枠：Up to 6 hours
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As a feature of the migraine attack.To acquire clinical data to identify feature patterns that can profile patient's condition using machine learning (ML) and deep learning (DL) algorithms.
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Up to 6 hours
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Photophobia (number)
時間枠：Up to 6 hours
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As a feature of the migraine attack.To acquire clinical data to identify feature patterns that can profile patient's condition using machine learning (ML) and deep learning (DL) algorithms.
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Up to 6 hours
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Phonophobia (number)
時間枠：Up to 6 hours
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To acquire clinical data to identify feature patterns that can profile patient's condition using machine learning (ML) and deep learning (DL) algorithms.
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Up to 6 hours
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Aggravation by movement (number)
時間枠：Up to 6 hours
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As a feature of the migraine attack.
To acquire clinical data to identify feature patterns that can profile patient's condition using machine learning (ML) and deep learning (DL) algorithms.
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Up to 6 hours
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Throbbing pain (number)
時間枠：Up to 6 hours
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As a feature of the migraine attack.
To acquire clinical data to identify feature patterns that can profile patient's condition using machine learning (ML) and deep learning (DL) algorithms.
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Up to 6 hours
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Abortive medication (number of intake/month)
時間枠：Up to 6 hours
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To acquire clinical data to identify feature patterns that can profile patient's condition using machine learning (ML) and deep learning (DL) algorithms.
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Up to 6 hours
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協力者と研究者
ここでは、この調査に関係する人々や組織を見つけることができます。
出版物と役立つリンク
研究に関する情報を入力する責任者は、自発的にこれらの出版物を提供します。これらは、研究に関連するあらゆるものに関するものである可能性があります。
一般刊行物
- Schulte LH, May A. Functional Neuroimaging in Migraine: Chances and Challenges. Headache. 2016 Oct;56(9):1474-1481. doi: 10.1111/head.12944. Epub 2016 Sep 22.
- Karsan N, Bose PR, O'Daly O, Zelaya FO, Goadsby PJ. Alterations in Functional Connectivity During Different Phases of the Triggered Migraine Attack. Headache. 2020 Jul;60(7):1244-1258. doi: 10.1111/head.13865. Epub 2020 Jun 22.
- Thomsen LL, Kruuse C, Iversen HK, Olesen J. A nitric oxide donor (nitroglycerin) triggers genuine migraine attacks. Eur J Neurol. 1994 Sep;1(1):73-80. doi: 10.1111/j.1468-1331.1994.tb00053.x.
- Amin FM, Hougaard A, Magon S, Sprenger T, Wolfram F, Rostrup E, Ashina M. Altered thalamic connectivity during spontaneous attacks of migraine without aura: A resting-state fMRI study. Cephalalgia. 2018 Jun;38(7):1237-1244. doi: 10.1177/0333102417729113. Epub 2017 Aug 30.
- Maniyar FH, Sprenger T, Monteith T, Schankin C, Goadsby PJ. Brain activations in the premonitory phase of nitroglycerin-triggered migraine attacks. Brain. 2014 Jan;137(Pt 1):232-41. doi: 10.1093/brain/awt320. Epub 2013 Nov 25.
- Sances G, Tassorelli C, Pucci E, Ghiotto N, Sandrini G, Nappi G. Reliability of the nitroglycerin provocative test in the diagnosis of neurovascular headaches. Cephalalgia. 2004 Feb;24(2):110-9. doi: 10.1111/j.1468-2982.2004.00639.x.
- Tassorelli C, Joseph SA, Buzzi MG, Nappi G. The effects on the central nervous system of nitroglycerin--putative mechanisms and mediators. Prog Neurobiol. 1999 Apr;57(6):607-24. doi: 10.1016/s0301-0082(98)00071-9.
研究記録日
これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。
主要日程の研究
研究開始 (実際)
2018年8月31日
一次修了 (実際)
2019年3月31日
研究の完了 (実際)
2020年12月15日
試験登録日
最初に提出
2020年12月21日
QC基準を満たした最初の提出物
2021年1月5日
最初の投稿 (実際)
2021年1月6日
学習記録の更新
投稿された最後の更新 (実際)
2021年1月6日
QC基準を満たした最後の更新が送信されました
2021年1月5日
最終確認日
2020年11月1日
詳しくは
この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。