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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.

Przegląd badań

Status

Zakończony

Warunki

Szczegółowy opis

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.

Typ studiów

Obserwacyjny

Zapisy (Rzeczywisty)

15

Kontakty i lokalizacje

Ta sekcja zawiera dane kontaktowe osób prowadzących badanie oraz informacje o tym, gdzie badanie jest przeprowadzane.

Lokalizacje studiów

      • Pavia, Włochy, 27100
        • Headache Science Center

Kryteria uczestnictwa

Badacze szukają osób, które pasują do określonego opisu, zwanego kryteriami kwalifikacyjnymi. Niektóre przykłady tych kryteriów to ogólny stan zdrowia danej osoby lub wcześniejsze leczenie.

Kryteria kwalifikacji

Wiek uprawniający do nauki

18 lat do 60 lat (Dorosły)

Akceptuje zdrowych ochotników

Tak

Płeć kwalifikująca się do nauki

Wszystko

Metoda próbkowania

Próbka bez prawdopodobieństwa

Badana populacja

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

Opis

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.

Plan studiów

Ta sekcja zawiera szczegółowe informacje na temat planu badania, w tym sposób zaprojektowania badania i jego pomiary.

Jak projektuje się badanie?

Szczegóły projektu

Kohorty i interwencje

Grupa / Kohorta
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

Co mierzy badanie?

Podstawowe miary wyniku

Miara wyniku
Opis środka
Ramy czasowe
Functional Connectivity (FC) changes
Ramy czasowe: 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

Miary wyników drugorzędnych

Miara wyniku
Opis środka
Ramy czasowe
Magnetic Resonance Imaging (MRI)
Ramy czasowe: 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)
Ramy czasowe: 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)
Ramy czasowe: 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)
Ramy czasowe: 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)
Ramy czasowe: 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)
Ramy czasowe: 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)
Ramy czasowe: 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)
Ramy czasowe: 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)
Ramy czasowe: 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)
Ramy czasowe: 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

Współpracownicy i badacze

Tutaj znajdziesz osoby i organizacje zaangażowane w to badanie.

Publikacje i pomocne linki

Osoba odpowiedzialna za wprowadzenie informacji o badaniu dobrowolnie udostępnia te publikacje. Mogą one dotyczyć wszystkiego, co jest związane z badaniem.

Publikacje ogólne

Daty zapisu na studia

Daty te śledzą postęp w przesyłaniu rekordów badań i podsumowań wyników do ClinicalTrials.gov. Zapisy badań i zgłoszone wyniki są przeglądane przez National Library of Medicine (NLM), aby upewnić się, że spełniają określone standardy kontroli jakości, zanim zostaną opublikowane na publicznej stronie internetowej.

Główne daty studiów

Rozpoczęcie studiów (Rzeczywisty)

31 sierpnia 2018

Zakończenie podstawowe (Rzeczywisty)

31 marca 2019

Ukończenie studiów (Rzeczywisty)

15 grudnia 2020

Daty rejestracji na studia

Pierwszy przesłany

21 grudnia 2020

Pierwszy przesłany, który spełnia kryteria kontroli jakości

5 stycznia 2021

Pierwszy wysłany (Rzeczywisty)

6 stycznia 2021

Aktualizacje rekordów badań

Ostatnia wysłana aktualizacja (Rzeczywisty)

6 stycznia 2021

Ostatnia przesłana aktualizacja, która spełniała kryteria kontroli jakości

5 stycznia 2021

Ostatnia weryfikacja

1 listopada 2020

Więcej informacji

Terminy związane z tym badaniem

Informacje o lekach i urządzeniach, dokumenty badawcze

Bada produkt leczniczy regulowany przez amerykańską FDA

Nie

Bada produkt urządzenia regulowany przez amerykańską FDA

Nie

Te informacje zostały pobrane bezpośrednio ze strony internetowej clinicaltrials.gov bez żadnych zmian. Jeśli chcesz zmienić, usunąć lub zaktualizować dane swojego badania, skontaktuj się z register@clinicaltrials.gov. Gdy tylko zmiana zostanie wprowadzona na stronie clinicaltrials.gov, zostanie ona automatycznie zaktualizowana również na naszej stronie internetowej .

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