1
|
Juvodden HT, Alnæs D, Agartz I, Andreassen OA, Server A, Thorsby PM, Westlye LT, Knudsen-Heier S. Cortical thickness and sub-cortical volumes in post-H1N1 narcolepsy type 1: A brain-wide MRI case-control study. Sleep Med 2024; 116:81-89. [PMID: 38432031 DOI: 10.1016/j.sleep.2024.02.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 02/16/2024] [Accepted: 02/16/2024] [Indexed: 03/05/2024]
Abstract
OBJECTIVE There was more than a 10-fold increase in the incidence of narcolepsy type 1 (NT1) after the H1N1 mass vaccination in 2009/2010 in several countries. NT1 is associated with loss and increase of cell groups in the hypothalamus which may be associated with secondary affected sub-cortical and cortical gray matter. We performed a case-control comparison of MRI-based global and sub-cortical volume and cortical thickness in post-H1N1 NT1 patients compared with controls. METHODS We included 54 post-H1N1 NT1 patients (51 with confirmed hypocretin-deficiency; 48 H1N1-vaccinated with Pandemrix®; 39 females, mean age 21.8 ± 11.0 years) and 114 healthy controls (77 females, mean age 23.2 ± 9.0 years). 3T MRI brain scans were obtained, and the T1-weighted MRI data were processed using FreeSurfer. Group differences among three global, 10 sub-cortical volume measures and 34 cortical thickness measures for bilateral brain regions were tested using general linear models with permutation testing. RESULTS Patients had significantly thinner brain cortex bilaterally in the temporal poles (Cohen's d = 0.68, p = 0.00080), entorhinal cortex (d = 0.60, p = 0.0018) and superior temporal gyrus (d = 0.60, p = 0.0020) compared to healthy controls. The analysis revealed no significant group differences for sub-cortical volumes. CONCLUSIONS Post-H1N1(largely Pandemrix®-vaccinated) NT1 patients have significantly thinner cortex in temporal brain regions compared to controls. We speculate that this effect can be partly attributed to the hypothalamic neuronal change in NT1, including loss of function of the widely projecting hypocretin-producing neurons and secondary effects of the abnormal sleep-wake pattern in NT1 or could be specific for post-H1N1 (largely Pandemrix®-vaccinated) NT1 patients.
Collapse
Affiliation(s)
- Hilde T Juvodden
- Norwegian Centre of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Department of Rare Disorders, Oslo University Hospital, Ullevål, Norway.
| | - Dag Alnæs
- NORMENT Centre, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Norway
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway; K.G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Norway
| | - Ole A Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Norway; K.G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Norway
| | - Andres Server
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Per M Thorsby
- Hormone Laboratory, Department of Medical Biochemistry, Biochemical Endocrinology and Metabolism Research Group, Oslo University Hospital, Aker, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lars T Westlye
- NORMENT Centre, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Norway; K.G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway
| | - Stine Knudsen-Heier
- Norwegian Centre of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Department of Rare Disorders, Oslo University Hospital, Ullevål, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| |
Collapse
|
2
|
Rahimi-Jafari S, Sarebannejad S, Saberi A, Khazaie H, Camilleri JA, Eickhoff CR, Eickhoff SB, Tahmasian M. Is there any consistent structural and functional brain abnormality in narcolepsy? A meta-analytic perspective. Neurosci Biobehav Rev 2021; 132:1181-1182. [PMID: 34756895 DOI: 10.1016/j.neubiorev.2021.10.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 10/07/2021] [Accepted: 10/26/2021] [Indexed: 10/20/2022]
Affiliation(s)
- Sama Rahimi-Jafari
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Sara Sarebannejad
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Amin Saberi
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Julia A Camilleri
- Institute of Neuroscience and Medicine Research, Brain and Behaviour (INM-7), Jülich Research Center, Jülich, Germany; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Claudia R Eickhoff
- Institute of Neuroscience and Medicine Research, Brain and Behaviour (INM-7), Jülich Research Center, Jülich, Germany; Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University, Düsseldorf, Germany; Institute of Neuroscience and Medicine Research, Structural and functional organisation of the brain (INM-1), Jülich Research Center, Jülich, Germany
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine Research, Brain and Behaviour (INM-7), Jülich Research Center, Jülich, Germany; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Masoud Tahmasian
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran; Institute of Neuroscience and Medicine Research, Brain and Behaviour (INM-7), Jülich Research Center, Jülich, Germany; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.
| |
Collapse
|
3
|
Saberi A, Mohammadi E, Zarei M, Eickhoff SB, Tahmasian M. Structural and functional neuroimaging of late-life depression: a coordinate-based meta-analysis. Brain Imaging Behav 2021; 16:518-531. [PMID: 34331655 DOI: 10.1007/s11682-021-00494-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 06/28/2021] [Indexed: 10/20/2022]
Abstract
Several neuroimaging studies have investigated localized aberrations in brain structure, function or connectivity in late-life depression, but the ensuing results are equivocal and often conflicting. Here, we provide a quantitative consolidation of neuroimaging in late-life depression using coordinate-based meta-analysis by searching multiple databases up to March 2020. Our search revealed 3252 unique records, among which we identified 32 eligible whole-brain neuroimaging publications comparing 674 patients with 568 controls. The peak coordinates of group comparisons between the patients and the controls were extracted and then analyzed using activation likelihood estimation method. Our sufficiently powered analysis on all the experiments, and more homogenous subsections of the data (patients > controls, controls > patients, and functional imaging experiments) revealed no significant convergent regional abnormality in late-life depression. This inconsistency might be due to clinical and biological heterogeneity of LLD, as well as experimental (e.g., choice of tasks, image modalities) and analytic flexibility (e.g., preprocessing and analytic parameters), and distributed patterns of neural abnormalities. Our findings highlight the importance of clinical/biological heterogeneity of late-life depression, in addition to the need for more reproducible research by using pre-registered and standardized protocols on more homogenous populations to identify potential consistent brain abnormalities in late-life depression.
Collapse
Affiliation(s)
- Amin Saberi
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Esmaeil Mohammadi
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran.,Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mojtaba Zarei
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany.,Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Masoud Tahmasian
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran.
| |
Collapse
|
4
|
Gool JK, Cross N, Fronczek R, Lammers GJ, van der Werf YD, Dang-Vu TT. Neuroimaging in Narcolepsy and Idiopathic Hypersomnia: from Neural Correlates to Clinical Practice. CURRENT SLEEP MEDICINE REPORTS 2020. [DOI: 10.1007/s40675-020-00185-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
5
|
Tench CR, Tanasescu R, Constantinescu CS, Auer DP, Cottam WJ. Coordinate based random effect size meta-analysis of neuroimaging studies. Neuroimage 2017; 153:293-306. [PMID: 28389386 DOI: 10.1016/j.neuroimage.2017.04.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Revised: 03/08/2017] [Accepted: 04/01/2017] [Indexed: 11/17/2022] Open
Abstract
Low power in neuroimaging studies can make them difficult to interpret, and Coordinate based meta-analysis (CBMA) may go some way to mitigating this issue. CBMA has been used in many analyses to detect where published functional MRI or voxel-based morphometry studies testing similar hypotheses report significant summary results (coordinates) consistently. Only the reported coordinates and possibly t statistics are analysed, and statistical significance of clusters is determined by coordinate density. Here a method of performing coordinate based random effect size meta-analysis and meta-regression is introduced. The algorithm (ClusterZ) analyses both coordinates and reported t statistic or Z score, standardised by the number of subjects. Statistical significance is determined not by coordinate density, but by a random effects meta-analyses of reported effects performed cluster-wise using standard statistical methods and taking account of censoring inherent in the published summary results. Type 1 error control is achieved using the false cluster discovery rate (FCDR), which is based on the false discovery rate. This controls both the family wise error rate under the null hypothesis that coordinates are randomly drawn from a standard stereotaxic space, and the proportion of significant clusters that are expected under the null. Such control is necessary to avoid propagating and even amplifying the very issues motivating the meta-analysis in the first place. ClusterZ is demonstrated on both numerically simulated data and on real data from reports of grey matter loss in multiple sclerosis (MS) and syndromes suggestive of MS, and of painful stimulus in healthy controls. The software implementation is available to download and use freely.
Collapse
Affiliation(s)
- C R Tench
- Division of Clinical Neurosciences, Clinical Neurology, University of Nottingham, Queen's Medical Centre, Nottingham, UK.
| | - Radu Tanasescu
- Division of Clinical Neurosciences, Clinical Neurology, University of Nottingham, Queen's Medical Centre, Nottingham, UK; Department of Neurology, University of Medicine and Pharmacy Carol Davila Bucharest, Colentina Hospital, Bucharest, Romania.
| | - C S Constantinescu
- Division of Clinical Neurosciences, Clinical Neurology, University of Nottingham, Queen's Medical Centre, Nottingham, UK.
| | - D P Auer
- Division of Clinical Neuroscience, Radiological Sciences, University of Nottingham, Queen's Medical Centre, Nottingham, UK.
| | - W J Cottam
- Division of Clinical Neuroscience, Radiological Sciences, University of Nottingham, Queen's Medical Centre, Nottingham, UK.
| |
Collapse
|