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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.

Studieöversikt

Status

Avslutad

Betingelser

Detaljerad beskrivning

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.

Studietyp

Observationell

Inskrivning (Faktisk)

15

Kontakter och platser

Det här avsnittet innehåller kontaktuppgifter för dem som genomför studien och information om var denna studie genomförs.

Studieorter

      • Pavia, Italien, 27100
        • Headache Science Center

Deltagandekriterier

Forskare letar efter personer som passar en viss beskrivning, så kallade behörighetskriterier. Några exempel på dessa kriterier är en persons allmänna hälsotillstånd eller tidigare behandlingar.

Urvalskriterier

Åldrar som är berättigade till studier

18 år till 60 år (Vuxen)

Tar emot friska volontärer

Ja

Kön som är behöriga för studier

Allt

Testmetod

Icke-sannolikhetsprov

Studera befolkning

Subjects with episodic migraine without aura; patients with chronic migraine and medication overuse; healthy subjects

Beskrivning

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.

Studieplan

Det här avsnittet ger detaljer om studieplanen, inklusive hur studien är utformad och vad studien mäter.

Hur är studien utformad?

Designdetaljer

Kohorter och interventioner

Grupp / Kohort
Chronic migraineurs
This group includes patients with chronic migraine.
Control group
This group includes healthy subjects.
Episodic migraineurs
This group includes patients with episodic migraine

Vad mäter studien?

Primära resultatmått

Resultatmått
Åtgärdsbeskrivning
Tidsram
Functional Connectivity (FC) changes
Tidsram: Up to 6 hours
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.
Up to 6 hours

Sekundära resultatmått

Resultatmått
Åtgärdsbeskrivning
Tidsram
Magnetic Resonance Imaging (MRI)
Tidsram: Up to 6 hours
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.
Up to 6 hours
Monthly migraine frequency (day/month)
Tidsram: Up to 6 hours
To acquire clinical data to identify feature patterns that can profile patient's condition using machine learning (ML) and deep learning (DL) algorithms.
Up to 6 hours
Disease duration (years)
Tidsram: Up to 6 hours
To acquire clinical data to identify feature patterns that can profile patient's condition using machine learning (ML) and deep learning (DL) algorithms.
Up to 6 hours
Nausea (number)
Tidsram: Up to 6 hours
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.
Up to 6 hours
Vomiting (number)
Tidsram: Up to 6 hours
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.
Up to 6 hours
Photophobia (number)
Tidsram: Up to 6 hours
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.
Up to 6 hours
Phonophobia (number)
Tidsram: Up to 6 hours
To acquire clinical data to identify feature patterns that can profile patient's condition using machine learning (ML) and deep learning (DL) algorithms.
Up to 6 hours
Aggravation by movement (number)
Tidsram: Up to 6 hours
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.
Up to 6 hours
Throbbing pain (number)
Tidsram: Up to 6 hours
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.
Up to 6 hours
Abortive medication (number of intake/month)
Tidsram: Up to 6 hours
To acquire clinical data to identify feature patterns that can profile patient's condition using machine learning (ML) and deep learning (DL) algorithms.
Up to 6 hours

Samarbetspartners och utredare

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Publikationer och användbara länkar

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Allmänna publikationer

Studieavstämningsdatum

Dessa datum spårar framstegen för inlämningar av studieposter och sammanfattande resultat till ClinicalTrials.gov. Studieposter och rapporterade resultat granskas av National Library of Medicine (NLM) för att säkerställa att de uppfyller specifika kvalitetskontrollstandarder innan de publiceras på den offentliga webbplatsen.

Studera stora datum

Studiestart (Faktisk)

31 augusti 2018

Primärt slutförande (Faktisk)

31 mars 2019

Avslutad studie (Faktisk)

15 december 2020

Studieregistreringsdatum

Först inskickad

21 december 2020

Först inskickad som uppfyllde QC-kriterierna

5 januari 2021

Första postat (Faktisk)

6 januari 2021

Uppdateringar av studier

Senaste uppdatering publicerad (Faktisk)

6 januari 2021

Senaste inskickade uppdateringen som uppfyllde QC-kriterierna

5 januari 2021

Senast verifierad

1 november 2020

Mer information

Termer relaterade till denna studie

Läkemedels- och apparatinformation, studiedokument

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