The German research consortium for the study of bipolar disorder (BipoLife): a quality assurance protocol for MR neuroimaging data.

BipoLife Bipolar disorder Early intervention Early recognition MRI Multicenter study Quality assurance

Journal

International journal of bipolar disorders
ISSN: 2194-7511
Titre abrégé: Int J Bipolar Disord
Pays: Germany
ID NLM: 101622983

Informations de publication

Date de publication:
26 Sep 2024
Historique:
received: 11 12 2023
accepted: 06 09 2024
medline: 27 9 2024
pubmed: 27 9 2024
entrez: 26 9 2024
Statut: epublish

Résumé

The German multicenter research consortium BipoLife aims to investigate the mechanisms underlying bipolar disorders. It focuses in particular on people at high risk of developing the disorder and young patients in the early stages of the disease. Functional and structural magnetic resonance imaging (MRI) data was collected in all participating centers. The collection of neuroimaging data in a longitudinal, multicenter study requires the implementation of a comprehensive quality assurance (QA) protocol. Here, we outline this protocol and illustrate its application within the BipoLife consortium. The QA protocol consisted of (1) a training of participating research staff, (2) regular phantom measurements to evaluate the MR scanner performance and its temporal stability across the course of the study, and (3) the assessment of the quality of human MRI data by evaluating a variety of image metrics (e.g., signal-to-noise ratio, ghosting level). In this article, we will provide an overview on these QA procedures and show exemplarily the influence of its application on the results of standard neuroimaging analysis pipelines. The QA protocol helped to characterize the various MR scanners, to record their performance over the course of the study and to detect possible malfunctions at an early stage. It also assessed the quality of the human MRI data systematically to characterize its influence on various analyses. Furthermore, by setting up and publishing this protocol, we define standards that must be considered when analyzing data from the BipoLife consortium. It further promotes a systematic evaluation of data quality and a definition of subject inclusion criteria. In the long term, it will help to increase the chance of achieving clinically relevant results.

Sections du résumé

BACKGROUND BACKGROUND
The German multicenter research consortium BipoLife aims to investigate the mechanisms underlying bipolar disorders. It focuses in particular on people at high risk of developing the disorder and young patients in the early stages of the disease. Functional and structural magnetic resonance imaging (MRI) data was collected in all participating centers. The collection of neuroimaging data in a longitudinal, multicenter study requires the implementation of a comprehensive quality assurance (QA) protocol. Here, we outline this protocol and illustrate its application within the BipoLife consortium.
METHODS METHODS
The QA protocol consisted of (1) a training of participating research staff, (2) regular phantom measurements to evaluate the MR scanner performance and its temporal stability across the course of the study, and (3) the assessment of the quality of human MRI data by evaluating a variety of image metrics (e.g., signal-to-noise ratio, ghosting level). In this article, we will provide an overview on these QA procedures and show exemplarily the influence of its application on the results of standard neuroimaging analysis pipelines.
DISCUSSION CONCLUSIONS
The QA protocol helped to characterize the various MR scanners, to record their performance over the course of the study and to detect possible malfunctions at an early stage. It also assessed the quality of the human MRI data systematically to characterize its influence on various analyses. Furthermore, by setting up and publishing this protocol, we define standards that must be considered when analyzing data from the BipoLife consortium. It further promotes a systematic evaluation of data quality and a definition of subject inclusion criteria. In the long term, it will help to increase the chance of achieving clinically relevant results.

Identifiants

DOI: 10.1186/s40345-024-00354-7 PMID: 39327338
pubmed: 39327338
doi: 10.1186/s40345-024-00354-7
pii: 10.1186/s40345-024-00354-7
doi:

Types de publication

Journal Article

Langues

eng

Pagination

33

Informations de copyright

© 2024. The Author(s).

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Auteurs

Christoph Vogelbacher (C)

Department of Psychology, Philipps University of Marburg, Marburg, Germany.
Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Giessen, Germany.

Jens Sommer (J)

Core-Facility Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany.

Miriam H A Bopp (MHA)

Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Giessen, Germany.
Department of Neurosurgery, University of Marburg, Marburg, Germany.

Irina Falkenberg (I)

Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.

Philipp S Ritter (PS)

Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany.

Felix Bermpohl (F)

Department of Psychiatry and Clinical Neuroscience, Campus Charité Mitte, Berlin, Germany.
St. Hedwig Hospital, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.

Catherine Hindi Attar (CH)

Department of Psychiatry and Clinical Neuroscience, Campus Charité Mitte, Berlin, Germany.
St. Hedwig Hospital, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.

Karolin E Einenkel (KE)

Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany.

Oliver Gruber (O)

Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany.

Georg Juckel (G)

Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr-University, Bochum, Germany.

Vera Flasbeck (V)

Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr-University, Bochum, Germany.

Martin Hautzinger (M)

Department of Psychology Clinical Psychology and Psychotherapy, Eberhard Karls University, Tübingen, Germany.

Andrea Pfennig (A)

Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany.

Silke Matura (S)

Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, University Hospital, Frankfurt, Germany.
Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Frankfurt, Germany.

Andreas Reif (A)

Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, University Hospital, Frankfurt, Germany.
Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Frankfurt, Germany.

Dominik Grotegerd (D)

Institute for Translational Psychiatry, University of Münster, Münster, Germany.

Udo Dannlowski (U)

Institute for Translational Psychiatry, University of Münster, Münster, Germany.

Tilo Kircher (T)

Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Giessen, Germany.
Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.

Michael Bauer (M)

Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Technische Universität Dresden, Dresden, Germany.

Andreas Jansen (A)

Department of Psychology, Philipps University of Marburg, Marburg, Germany. jansena2@staff.uni-marburg.de.
Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Giessen, Germany. jansena2@staff.uni-marburg.de.
Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany. jansena2@staff.uni-marburg.de.

Classifications MeSH