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Flusund AMH, Bø LE, Reinertsen I, Solheim O, Skandsen T, Håberg A, Andelic N, Vik A, Moen KG. Lesion Frequency Distribution Maps of Traumatic Axonal Injury on Early Magnetic Resonance Imaging After Moderate and Severe Traumatic Brain Injury and Associations to 12 Months Outcome. J Neurotrauma 2024. [PMID: 38588255 DOI: 10.1089/neu.2023.0534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/10/2024] Open
Abstract
Traumatic axonal injury (TAI) is a common finding on magnetic resonance imaging (MRI) in patients with moderate-severe traumatic brain injury (TBI), and the burden of TAI is associated with outcome in this patient group. Lesion mapping offers a way to combine imaging findings from numerous individual patients into common lesion maps where the findings from a whole patient cohort can be assessed. The aim of this study was to evaluate the spatial distribution of TAI lesions on different MRI sequences and its associations to outcome with use of lesion mapping. Included prospectively were 269 patients (8-70 years) with moderate or severe TBI and MRI within six weeks after injury. The TAI lesions were evaluated and manually segmented on fluid-attenuated inversed recovery (FLAIR), diffusion weighted imaging (DWI), and either T2* gradient echo (T2*GRE) or susceptibility weighted imaging (SWI). The segmentations were registered to the Montreal Neurological Institute space and combined to lesion frequency distribution maps. Outcome was assessed with Glasgow Outcome Scale Extended (GOSE) score at 12 months. The frequency and distribution of TAI was assessed qualitatively by visual reading. Univariable associations to outcome were assessed qualitatively by visual reading and also quantitatively with use of voxel-based lesion-symptom mapping (VLSM). The highest frequency of TAI was found in the posterior half of corpus callosum. The frequency of TAI was higher in the frontal and temporal lobes than in the parietal and occipital lobes, and in the upper parts of the brainstem than in the lower. At the group level, all voxels in mesencephalon had TAI on FLAIR. The patients with poorest outcome (GOSE scores ≤4) had higher frequencies of TAI. On VLSM, poor outcome was associated with TAI lesions bilaterally in the splenium, the right side of tectum, tegmental mesencephalon, and pons. In conclusion, we found higher frequency of TAI in posterior corpus callosum, and TAI in splenium, mesencephalon, and pons were associated with poor outcome. If lesion frequency distribution maps containing outcome information based on imaging findings from numerous patients in the future can be compared with the imaging findings from individual patients, it would offer a new tool in the clinical workup and outcome prediction of the patient with TBI.
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Affiliation(s)
- Anne-Mari Holte Flusund
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Radiology, Møre and Romsdal Hospital Trust, Molde Hospital, Molde, Norway
| | - Lars Eirik Bø
- SINTEF Digital, Department of Health Research, Trondheim, Norway
| | - Ingerid Reinertsen
- SINTEF Digital, Department of Health Research, Trondheim, Norway
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ole Solheim
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Toril Skandsen
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Asta Håberg
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Nada Andelic
- Institute of Health and Society, Research Centre for Habilitation and Rehabilitation Models and Services (CHARM), Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Physical Medicine and Rehabilitation, Oslo University Hospital, Ullevål, Norway
| | - Anne Vik
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Kent Gøran Moen
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Radiology, Vestre Viken Hospital Trust, Drammen Hospital, Drammen, Norway
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Skirbekk V, Bowen CE, Håberg A, Jugessur A, Engdahl B, Bratsberg B, Zotcheva E, Selbæk G, Kohler HP, Weiss J, Harris JR, Tom SE, Krokstad S, Stern Y, Strand BH. Marital Histories and Associations With Later-Life Dementia and Mild Cognitive Impairment Risk in the HUNT4 70+ Study in Norway. J Aging Health 2023; 35:543-555. [PMID: 36321864 PMCID: PMC10151439 DOI: 10.1177/08982643221131926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Objectives: Earlier studies suggest that being married in later life protects against dementia, and that being single in old age increases the risk of dementia. In this study, we examine midlife marital status trajectories and their association with dementia and mild cognitive impairment (MCI) at ages 70 plus using a large population based sample from Norway. Methods: Based on a general population sample linked to population registries (N = 8706), we used multinomial logistic regression to examine the associations between six types of marital trajectories (unmarried, continuously divorced, intermittently divorced, widowed, continuously married, intermittently married) between age 44 and 68 years from national registries and a clinical dementia or a MCI diagnosis after age 70. We estimated relative risk ratios (RRR) and used mediation analyses adjusting for education, number of children, smoking, hypertension, obesity, physical inactivity, diabetes, mental distress, and having no close friends in midlife. Inverse probability weighting and multiple imputations were applied. The population attributable fraction was estimated to assess the potential reduction in dementia cases due to marital histories. Results: Overall, 11.6% of the participants were diagnosed with dementia and 35.3% with MCI. Dementia prevalence was lowest among the continuously married (11.2%). Adjusting for confounders, the risk of dementia was higher for the unmarried (RRR = 1.73; 95% CI: 1.24, 2.40), continuously divorced (RRR = 1.66; 95% CI: 1.14, 2.43), and intermittently divorced (RRR = 1.50; 95% CI: 1.09, 2.06) compared to the continuously married. In general, marital trajectory was less associated with MCI than with dementia. In the counterfactual scenario, where all participants had the same risk of receiving a dementia diagnosis as the continuously married group, there would be 6.0% fewer dementia cases. Discussion: Our data confirm that staying married in midlife is associated with a lower risk of dementia and that divorced people account for a substantial share of dementia cases.
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Affiliation(s)
- Vegard Skirbekk
- Division for Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
- Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
| | | | - Asta Håberg
- Division for Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU Norwegian University of Science and Technology, Trondheim, Norway
| | - Astanand Jugessur
- Division for Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Bo Engdahl
- Division for Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Bernt Bratsberg
- Division for Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
- Ragnar Frisch Center for Economic Research, Oslo, Norway
| | - Ekaterina Zotcheva
- Division for Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Geir Selbæk
- Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
- Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Hans-Peter Kohler
- Population Aging Research Center and Department of Sociology, University of Pennsylvania, Philadelphia, PA, USA
| | - Jordan Weiss
- Stanford Center on Longevity, Stanford University
| | - Jennifer R. Harris
- Division for Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Sarah E. Tom
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, USA
| | - Steinar Krokstad
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU Norwegian University of Science and Technology, Trondheim, Norway
- Levanger Hospital, Nord-Trøndelag Hospital Trust, Norway
| | - Yaakov Stern
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, USA
| | - Bjørn Heine Strand
- Division for Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
- Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
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Rimol LM, Rise HH, Evensen KAI, Yendiki A, Løhaugen GC, Indredavik MS, Brubakk AM, Bjuland KJ, Eikenes L, Weider S, Håberg A, Skranes J. Atypical brain structure mediates reduced IQ in young adults born preterm with very low birth weight. Neuroimage 2023; 266:119816. [PMID: 36528311 DOI: 10.1016/j.neuroimage.2022.119816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 12/05/2022] [Accepted: 12/13/2022] [Indexed: 12/15/2022] Open
Abstract
Preterm birth with very low birth weight (VLBW) confers heightened risk for perinatal brain injury and long-term cognitive deficits, including a reduction in IQ of up to one standard deviation. Persisting gray and white matter aberrations have been documented well into adolescence and adulthood in preterm born individuals. What has not been documented so far is a plausible causal link between reductions in cortical surface area or subcortical brain structure volumes, and the observed reduction in IQ. The NTNU Low Birth Weight in a Lifetime Perspective study is a prospective longitudinal cohort study, including a preterm born VLBW group (birthweight ≤1500 g) and a term born control group. Structural magnetic resonance imaging data were obtained from 38 participants aged 19, born preterm with VLBW, and 59 term-born peers. The FreeSurfer software suite was used to obtain measures of cortical thickness, cortical surface area, and subcortical brain structure volumes. Cognitive ability was estimated using the Wechsler Adult Intelligence Scale, 3rd Edition, including four IQ-indices: Verbal comprehension, Working memory, Perceptual organization, and Processing speed. Statistical mediation analyses were employed to test for indirect effects of preterm birth with VLBW on IQ, mediated by atypical brain structure. The mediation analyses revealed negative effects of preterm birth with VLBW on IQ that were partially mediated by reduced surface area in multiple regions of frontal, temporal, parietal and insular cortex, and by reductions in several subcortical brain structure volumes. The analyses did not yield sufficient evidence of mediation effects of cortical thickness on IQ. This is, to our knowledge, the first time a plausible causal relationship has been established between regional cortical area reductions, as well as reductions in specific subcortical and cerebellar structures, and general cognitive ability in preterm born survivors with VLBW.
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Affiliation(s)
- Lars M Rimol
- Department of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Department of Radiology and Nuclear Medicine, St. Olav University Hospital, Trondheim, Norway.
| | - Henning Hoel Rise
- Department of Radiology and Nuclear Medicine, St. Olav University Hospital, Trondheim, Norway
| | - Kari Anne I Evensen
- Department of Clinical and Molecular Medicine, NTNU, Trondheim, Norway; Department of Public Health and Nursing, NTNU, Trondheim, Norway
| | - Anastasia Yendiki
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, United States
| | - Gro C Løhaugen
- Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
| | | | - Ann-Mari Brubakk
- Department of Clinical and Molecular Medicine, NTNU, Trondheim, Norway
| | | | - Live Eikenes
- Department of Neuromedicine and Movement Science, NTNU, Trondheim, Norway
| | - Siri Weider
- Department of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Asta Håberg
- Department of Radiology and Nuclear Medicine, St. Olav University Hospital, Trondheim, Norway; Department of Circulation and Medical Imaging, NTNU, Trondheim, Norway
| | - Jon Skranes
- Department of Radiology and Nuclear Medicine, St. Olav University Hospital, Trondheim, Norway; Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
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Aamodt EB, Lydersen S, Alnæs D, Schellhorn T, Saltvedt I, Beyer MK, Håberg A. Longitudinal Brain Changes After Stroke and the Association With Cognitive Decline. Front Neurol 2022; 13:856919. [PMID: 35720079 PMCID: PMC9204010 DOI: 10.3389/fneur.2022.856919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 05/16/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundCognitive impairment is common after stroke. So is cortical- and subcortical atrophy, with studies reporting more atrophy in the ipsilesional hemisphere than the contralesional hemisphere. The current study aimed to investigate the longitudinal associations between (I) lateralization of brain atrophy and stroke hemisphere, and (II) cognitive impairment and brain atrophy after stroke. We expected to find that (I) cortical thickness and hippocampal-, thalamic-, and caudate nucleus volumes declined more in the ipsilesional than the contralesional hemisphere up to 36 months after stroke. Furthermore, we predicted that (II) cognitive decline was associated with greater stroke volumes, and with greater cortical thickness and subcortical structural volume atrophy across the 36 months.MethodsStroke survivors from five Norwegian hospitals were included from the multisite-prospective “Norwegian Cognitive Impairment After Stroke” (Nor-COAST) study. Analyses were run with clinical, neuropsychological and structural magnetic resonance imaging (MRI) data from baseline, 18- and 36 months. Cortical thicknesses and subcortical volumes were obtained via FreeSurfer segmentations and stroke lesion volumes were semi-automatically derived using ITK-SNAP. Cognition was measured using MoCA.ResultsFindings from 244 stroke survivors [age = 72.2 (11.3) years, women = 55.7%, stroke severity NIHSS = 4.9 (5.0)] were included at baseline. Of these, 145 (59.4%) had an MRI scan at 18 months and 72 (49.7% of 18 months) at 36 months. Most cortices and subcortices showed a higher ipsi- compared to contralesional atrophy rate, with the effect being more prominent in the right hemisphere. Next, greater degrees of atrophy particularly in the medial temporal lobe after left-sided strokes and larger stroke lesion volumes after right-sided strokes were associated with cognitive decline over time.ConclusionAtrophy in the ipsilesional hemisphere was greater than in the contralesional hemisphere over time. This effect was found to be more prominent in the right hemisphere, pointing to a possible higher resilience to stroke of the left hemisphere. Lastly, greater atrophy of the cortex and subcortex, as well as larger stroke volume, were associated with worse cognition over time and should be included in risk assessments of cognitive decline after stroke.
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Affiliation(s)
- Eva B. Aamodt
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
- *Correspondence: Eva B. Aamodt
| | - Stian Lydersen
- Regional Centre for Child and Youth Mental Health and Child Welfare, Department of Mental Health, NTNU – Norwegian University of Science and Technology, Trondheim, Norway
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Till Schellhorn
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU – Norwegian University of Science and Technology, Trondheim, Norway
- Department of Geriatrics, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Mona K. Beyer
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Asta Håberg
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU – Norwegian University of Science and Technology, Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
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5
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Saksvik SB, Smevik H, Stenberg J, Follestad T, Vik A, Håberg A, Asarnow RF, Kallestad H, Skandsen T, Olsen A. Poor sleep quality is associated with greater negative consequences for cognitive control function and psychological health after mild traumatic brain injury than after orthopedic injury. Neuropsychology 2021; 35:2021-74493-001. [PMID: 34383539 DOI: 10.1037/neu0000751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVE To test the hypothesis that poor sleep quality has a stronger negative effect on cognitive control function and psychological health after mild traumatic brain injury (mTBI) than after orthopedic injury. METHOD Patients with mTBI (n = 197) and trauma controls with orthopedic injuries (n = 82) were included in this prospective longitudinal study. The participants (age 16-60) completed three computerized neurocognitive tests assessing response speed and accuracy at 2 weeks and 3 months after injury, as well as questionnaires and interviews assessing sleep quality and psychological distress at 2 weeks, 3 months, and 12 months after injury. Separate Linear Mixed Models (LMMs) for each of the outcome measures (response speed, response accuracy, psychological distress) were performed. RESULTS We observed a significant interaction effect between poor sleep quality and group (mTBI vs. trauma controls) in the response speed (p = .028) and psychological distress (p = .001) models, driven by a greater negative impact of poor sleep quality on response speed and psychological distress in the mTBI group. We found no such interaction effect for response accuracy (p = .825), and poor sleep quality was associated with worse accuracy to a similar extent for both groups. CONCLUSIONS Our findings show that poor sleep quality has a more negative impact on cognitive control function and psychological outcome in patients with mTBI, compared to trauma controls. This indicates an increased vulnerability to poor sleep quality in patients who have suffered an mTBI. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Affiliation(s)
| | | | | | | | - Anne Vik
- Department of Neuromedicine and Movement Science
| | - Asta Håberg
- Department of Neuromedicine and Movement Science
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Córdova-Palomera A, van der Meer D, Kaufmann T, Bettella F, Wang Y, Alnæs D, Doan NT, Agartz I, Bertolino A, Buitelaar JK, Coynel D, Djurovic S, Dørum ES, Espeseth T, Fazio L, Franke B, Frei O, Håberg A, Le Hellard S, Jönsson EG, Kolskår KK, Lund MJ, Moberget T, Nordvik JE, Nyberg L, Papassotiropoulos A, Pergola G, de Quervain D, Rampino A, Richard G, Rokicki J, Sanders AM, Schwarz E, Smeland OB, Steen VM, Starrfelt J, Sønderby IE, Ulrichsen KM, Andreassen OA, Westlye LT. Genetic control of variability in subcortical and intracranial volumes. Mol Psychiatry 2021; 26:3876-3883. [PMID: 32047264 DOI: 10.1038/s41380-020-0664-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Revised: 12/14/2019] [Accepted: 01/28/2020] [Indexed: 11/09/2022]
Abstract
Sensitivity to external demands is essential for adaptation to dynamic environments, but comes at the cost of increased risk of adverse outcomes when facing poor environmental conditions. Here, we apply a novel methodology to perform genome-wide association analysis of mean and variance in ten key brain features (accumbens, amygdala, caudate, hippocampus, pallidum, putamen, thalamus, intracranial volume, cortical surface area, and cortical thickness), integrating genetic and neuroanatomical data from a large lifespan sample (n = 25,575 individuals; 8-89 years, mean age 51.9 years). We identify genetic loci associated with phenotypic variability in thalamus volume and cortical thickness. The variance-controlling loci involved genes with a documented role in brain and mental health and were not associated with the mean anatomical volumes. This proof-of-principle of the hypothesis of a genetic regulation of brain volume variability contributes to establishing the genetic basis of phenotypic variance (i.e., heritability), allows identifying different degrees of brain robustness across individuals, and opens new research avenues in the search for mechanisms controlling brain and mental health.
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Affiliation(s)
- Aldo Córdova-Palomera
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Dennis van der Meer
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Tobias Kaufmann
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Francesco Bettella
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Yunpeng Wang
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Dag Alnæs
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Nhat Trung Doan
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Agartz
- Department of Psychiatry, Diakonhjemmet Hospital, Oslo, Norway.,Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.,NORMENT, Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Alessandro Bertolino
- Institute of Psychiatry, Bari University Hospital, Bari, Italy.,Department of Basic Medical Science, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
| | - David Coynel
- Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland.,Division of Cognitive Neuroscience, University of Basel, Basel, Switzerland
| | - Srdjan Djurovic
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway.,Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Erlend S Dørum
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Psychology, University of Oslo, Oslo, Norway.,Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | | | - Leonardo Fazio
- Department of Basic Medical Science, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Barbara Franke
- Departments of Human Genetics and Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Oleksandr Frei
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Asta Håberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim, Norway
| | | | - Erik G Jönsson
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Knut K Kolskår
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Psychology, University of Oslo, Oslo, Norway.,Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Martina J Lund
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Torgeir Moberget
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Psychology, University of Oslo, Oslo, Norway
| | | | - Lars Nyberg
- Department of Radiation Sciences, Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - Andreas Papassotiropoulos
- Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland.,Division of Molecular Neuroscience, University of Basel, Basel, Switzerland.,Life Sciences Training Facility, Department Biozentrum, University of Basel, Basel, Switzerland
| | - Giulio Pergola
- Department of Basic Medical Science, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Dominique de Quervain
- Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland.,Division of Cognitive Neuroscience, University of Basel, Basel, Switzerland
| | - Antonio Rampino
- Department of Basic Medical Science, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Genevieve Richard
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Psychology, University of Oslo, Oslo, Norway.,Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Jaroslav Rokicki
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Psychology, University of Oslo, Oslo, Norway
| | - Anne-Marthe Sanders
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Psychology, University of Oslo, Oslo, Norway.,Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Emanuel Schwarz
- Central Institute of Mental Health, Heidelberg University, Mannheim, Germany
| | - Olav B Smeland
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Vidar M Steen
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway.,Dr. E. Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Jostein Starrfelt
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo, Norway
| | - Ida E Sønderby
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Kristine M Ulrichsen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Psychology, University of Oslo, Oslo, Norway.,Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lars T Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway. .,Department of Psychology, University of Oslo, Oslo, Norway.
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7
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Evensmoen HR, Rimol LM, Winkler AM, Betzel R, Hansen TI, Nili H, Håberg A. Allocentric representation in the human amygdala and ventral visual stream. Cell Rep 2021; 34:108658. [PMID: 33472067 DOI: 10.1016/j.celrep.2020.108658] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 10/01/2020] [Accepted: 12/21/2020] [Indexed: 12/27/2022] Open
Abstract
The hippocampus and the entorhinal cortex are considered the main brain structures for allocentric representation of the external environment. Here, we show that the amygdala and the ventral visual stream are involved in allocentric representation. Thirty-one young men explored 35 virtual environments during high-resolution functional magnetic resonance imaging (fMRI) of the medial temporal lobe (MTL) and were subsequently tested on recall of the allocentric pattern of the objects in each environment-in other words, the positions of the objects relative to each other and to the outer perimeter. We find increasingly unique brain activation patterns associated with increasing allocentric accuracy in distinct neural populations in the perirhinal cortex, parahippocampal cortex, fusiform cortex, amygdala, hippocampus, and entorhinal cortex. In contrast to the traditional view of a hierarchical MTL network with the hippocampus at the top, we demonstrate, using recently developed graph analyses, a hierarchical allocentric MTL network without a main connector hub.
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Affiliation(s)
- Hallvard Røe Evensmoen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), 7489 Trondheim, Norway; Department of Medical Imaging, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway.
| | - Lars M Rimol
- Department of Psychology, NTNU, 7489 Trondheim, Norway
| | - Anderson M Winkler
- National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Richard Betzel
- Department of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, IN, USA
| | - Tor Ivar Hansen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), 7489 Trondheim, Norway
| | - Hamed Nili
- Department of Experimental Psychology, University of Oxford, South Parks Road, OX1 3UD Oxford, UK
| | - Asta Håberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), 7489 Trondheim, Norway; Department of Medical Imaging, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway; Department of Circulation and Medical Imaging, NTNU, Trondheim, Norway
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8
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Walhovd KB, Bråthen ACS, Panizzon MS, Mowinckel AM, Sørensen Ø, de Lange AMG, Krogsrud SK, Håberg A, Franz CE, Kremen WS, Fjell AM. Within-session verbal learning slope is predictive of lifespan delayed recall, hippocampal volume, and memory training benefit, and is heritable. Sci Rep 2020; 10:21158. [PMID: 33273630 PMCID: PMC7713377 DOI: 10.1038/s41598-020-78225-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Accepted: 11/12/2020] [Indexed: 11/09/2022] Open
Abstract
Memory performance results from plasticity, the ability to change with experience. We show that benefit from practice over a few trials, learning slope, is predictive of long-term recall and hippocampal volume across a broad age range and a long period of time, relates to memory training benefit, and is heritable. First, in a healthy lifespan sample (n = 1825, age 4-93 years), comprising 3483 occasions of combined magnetic resonance imaging (MRI) scans and memory tests over a period of up to 11 years, learning slope across 5 trials was uniquely related to performance on a delayed free recall test, as well as hippocampal volume, independent from first trial memory or total memory performance across the five learning trials. Second, learning slope was predictive of benefit from memory training across ten weeks in an experimental subsample of adults (n = 155). Finally, in an independent sample of male twins (n = 1240, age 51-50 years), learning slope showed significant heritability. Within-session learning slope may be a useful marker beyond performance per se, being heritable and having unique predictive value for long-term memory function, hippocampal volume and training benefit across the human lifespan.
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Affiliation(s)
- Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, POB 1094, 0317, Oslo, Norway.
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Rikshospitalet, Norway.
| | - Anne Cecilie Sjøli Bråthen
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, POB 1094, 0317, Oslo, Norway
| | - Matthew S Panizzon
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California, San Diego, USA
| | - Athanasia M Mowinckel
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, POB 1094, 0317, Oslo, Norway
| | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, POB 1094, 0317, Oslo, Norway
| | - Ann-Marie G de Lange
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, POB 1094, 0317, Oslo, Norway
- Department of Psychiatry, University of Oxford, Oxford, UK
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Stine Kleppe Krogsrud
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, POB 1094, 0317, Oslo, Norway
| | - Asta Håberg
- Department of Neuroscience, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Carol E Franz
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California, San Diego, USA
| | - William S Kremen
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California, San Diego, USA
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, POB 1094, 0317, Oslo, Norway
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Rikshospitalet, Norway
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9
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Sønderby IE, Gústafsson Ó, Doan NT, Hibar DP, Martin-Brevet S, Abdellaoui A, Ames D, Amunts K, Andersson M, Armstrong NJ, Bernard M, Blackburn N, Blangero J, Boomsma DI, Bralten J, Brattbak HR, Brodaty H, Brouwer RM, Bülow R, Calhoun V, Caspers S, Cavalleri G, Chen CH, Cichon S, Ciufolini S, Corvin A, Crespo-Facorro B, Curran JE, Dale AM, Dalvie S, Dazzan P, de Geus EJC, de Zubicaray GI, de Zwarte SMC, Delanty N, den Braber A, Desrivières S, Donohoe G, Draganski B, Ehrlich S, Espeseth T, Fisher SE, Franke B, Frouin V, Fukunaga M, Gareau T, Glahn DC, Grabe H, Groenewold NA, Haavik J, Håberg A, Hashimoto R, Hehir-Kwa JY, Heinz A, Hillegers MHJ, Hoffmann P, Holleran L, Hottenga JJ, Hulshoff HE, Ikeda M, Jahanshad N, Jernigan T, Jockwitz C, Johansson S, Jonsdottir GA, Jönsson EG, Kahn R, Kaufmann T, Kelly S, Kikuchi M, Knowles EEM, Kolskår KK, Kwok JB, Hellard SL, Leu C, Liu J, Lundervold AJ, Lundervold A, Martin NG, Mather K, Mathias SR, McCormack M, McMahon KL, McRae A, Milaneschi Y, Moreau C, Morris D, Mothersill D, Mühleisen TW, Murray R, Nordvik JE, Nyberg L, Olde Loohuis LM, Ophoff R, Paus T, Pausova Z, Penninx B, Peralta JM, Pike B, Prieto C, Pudas S, Quinlan E, Quintana DS, Reinbold CS, Marques TR, Reymond A, Richard G, Rodriguez-Herreros B, Roiz-Santiañez R, Rokicki J, Rucker J, Sachdev P, Sanders AM, Sando SB, Schmaal L, Schofield PR, Schork AJ, Schumann G, Shin J, Shumskaya E, Sisodiya S, Steen VM, Stein DJ, Steinberg S, Strike L, Teumer A, Thalamuthu A, Tordesillas-Gutierrez D, Turner J, Ueland T, Uhlmann A, Ulfarsson MO, van 't Ent D, van der Meer D, van Haren NEM, Vaskinn A, Vassos E, Walters GB, Wang Y, Wen W, Whelan CD, Wittfeld K, Wright M, Yamamori H, Zayats T, Agartz I, Westlye LT, Jacquemont S, Djurovic S, Stefánsson H, Stefánsson K, Thompson P, Andreassen OA. Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia. Mol Psychiatry 2020; 25:584-602. [PMID: 30283035 PMCID: PMC7042770 DOI: 10.1038/s41380-018-0118-1] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 05/02/2018] [Accepted: 05/25/2018] [Indexed: 12/24/2022]
Abstract
Carriers of large recurrent copy number variants (CNVs) have a higher risk of developing neurodevelopmental disorders. The 16p11.2 distal CNV predisposes carriers to e.g., autism spectrum disorder and schizophrenia. We compared subcortical brain volumes of 12 16p11.2 distal deletion and 12 duplication carriers to 6882 non-carriers from the large-scale brain Magnetic Resonance Imaging collaboration, ENIGMA-CNV. After stringent CNV calling procedures, and standardized FreeSurfer image analysis, we found negative dose-response associations with copy number on intracranial volume and on regional caudate, pallidum and putamen volumes (β = -0.71 to -1.37; P < 0.0005). In an independent sample, consistent results were obtained, with significant effects in the pallidum (β = -0.95, P = 0.0042). The two data sets combined showed significant negative dose-response for the accumbens, caudate, pallidum, putamen and ICV (P = 0.0032, 8.9 × 10-6, 1.7 × 10-9, 3.5 × 10-12 and 1.0 × 10-4, respectively). Full scale IQ was lower in both deletion and duplication carriers compared to non-carriers. This is the first brain MRI study of the impact of the 16p11.2 distal CNV, and we demonstrate a specific effect on subcortical brain structures, suggesting a neuropathological pattern underlying the neurodevelopmental syndromes.
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Affiliation(s)
- Ida E Sønderby
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | | | - Nhat Trung Doan
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Derrek P Hibar
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, USA
- Janssen Research and Development, La Jolla, CA, USA
| | - Sandra Martin-Brevet
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland
| | - Abdel Abdellaoui
- Biological Psychology, Vrije Universiteit Amsterdam, van Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
- Department of Psychiatry, Academic Medical Center, Amsterdam, The Netherlands
| | - David Ames
- National Ageing Research Institute, Melbourne, Australia
- Academic Unit for Psychiatry of Old Age, University of Melbourne, Melbourne, Australia
| | - Katrin Amunts
- Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Wilhelm-Johnen-Str., 52425, Juelich, Germany
- C. and O. Vogt Institute for Brain Research, Medical Faculty, University of Dusseldorf, Merowingerplatz 1A, 40225, Dusseldorf, Germany
- JARA-BRAIN, Juelich-Aachen Research Alliance, Wilhelm-Johnen-Str., 52425, Juelich, Germany
| | - Michael Andersson
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187, Umeå, Sweden
| | | | - Manon Bernard
- The Hospital for Sick Children, University of Toronto, Toronto, M5G 1X8, Canada
| | - Nicholas Blackburn
- South Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, One West University Blvd., 78520, Brownsville, TX, USA
| | - John Blangero
- South Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, One West University Blvd., 78520, Brownsville, TX, USA
| | - Dorret I Boomsma
- Netherlands Twin Register, Vrije Universiteit, van der Boechorststraat 1, 1081BT, Amsterdam, Netherlands
| | - Janita Bralten
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Hans-Richard Brattbak
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Henry Brodaty
- Centre for Healthy Brain Ageing and Dementia Collaborative Research Centre, UNSW, Sydney, Australia
| | - Rachel M Brouwer
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Robin Bülow
- Department of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Vince Calhoun
- The Mind Research Network, The University of New Mexico, Albuquerque, NM, Mexico
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Wilhelm-Johnen-Str., 52425, Juelich, Germany
- C. and O. Vogt Institute for Brain Research, Medical Faculty, University of Dusseldorf, Merowingerplatz 1A, 40225, Dusseldorf, Germany
- JARA-BRAIN, Juelich-Aachen Research Alliance, Wilhelm-Johnen-Str., 52425, Juelich, Germany
| | - Gianpiero Cavalleri
- The Royal College of Surgeons in Ireland, 123 St Stephen's Green, Dublin 2, Ireland
| | - Chi-Hua Chen
- Department of Radiology, University of California San Diego, La Jolla, USA
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, USA
| | - Sven Cichon
- Institute of Neuroscience and Medicine (INM-1), Structural and Functional Organisation of the Brain, Genomic Imaging, Research Centre Juelich, Leo-Brandt-Strasse 5, 52425, Jülich, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Schönbeinstrasse 40, 4031, Basel, Switzerland
| | - Simone Ciufolini
- Psychosis Studies, Insitute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespingy Park, SE5 8AF, London, United Kingdom
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin 2, Ireland
| | - Benedicto Crespo-Facorro
- Department of Medicine and Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, 39008, Santander, Spain
- CIBERSAM (Centro Investigación Biomédica en Red Salud Mental), Santander, 39011, Spain
| | - Joanne E Curran
- South Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, One West University Blvd., 78520, Brownsville, TX, USA
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, USA
| | - Shareefa Dalvie
- Department of Psychiatry and Mental Health, Anzio Road, 7925, Cape Town, South Africa
| | - Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, SE5 8AF, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, United Kingdom
| | - Eco J C de Geus
- Department of Biological Psychology, Behavioral and Movement Sciences, Vrije Universiteit, van der Boechorststraat 1, 1081 BT, Amsterdam, Netherlands
- Amsterdam Neuroscience, VU University medical center, van der Boechorststraat 1, 1081 BT, Amsterdam, NH, Netherlands
| | - Greig I de Zubicaray
- Faculty of Health and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Sonja M C de Zwarte
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Norman Delanty
- The Royal College of Surgeons in Ireland, 123 St Stephen's Green, Dublin 2, Ireland
- Imaging of Dementia and Aging (IDeA) Laboratory, Department of Neurology and Center for Neuroscience, University of California at Davis, 4860 Y Street, Suite 3700, Sacramento, California, 95817, USA
| | - Anouk den Braber
- Department of Biological Psychology, Behavioral and Movement Sciences, Vrije Universiteit, van der Boechorststraat 1, 1081 BT, Amsterdam, Netherlands
- Alzheimer Center and Department of Neurology, VU University Medical Center, De Boelelaan 1105, 1081HV, Amsterdam, Netherlands
| | - Sylvane Desrivières
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Gary Donohoe
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging, Cognition & Genomics Centre (NICOG) & NCBES Galway Neuroscience Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, H91 TK33, Galway, Ireland
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Psychiatry, Trinity College Dublin, Dublin 8, Ireland
| | - Bogdan Draganski
- LREN - Département des neurosciences cliniques, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
- Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, 01307, Dresden, Germany
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, 02129, USA
| | - Thomas Espeseth
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Wundtlaan 1, 6525 XD, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Vincent Frouin
- NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
| | - Masaki Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Aichi, Japan
| | - Thomas Gareau
- NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
| | - David C Glahn
- Yale University School of Medicine, 40 Temple Street, Suite 6E, 6511, New Haven, Vaud, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, 300 George Street, 6106, Hartford, CT, USA
| | - Hans Grabe
- Department of Psychiatry und Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Nynke A Groenewold
- Department of Psychiatry and Mental Health, Anzio Road, 7925, Cape Town, South Africa
| | - Jan Haavik
- K.G. Jebsen Centre for Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | - Asta Håberg
- Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ryota Hashimoto
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Suita, Osaka, Japan
| | - Jayne Y Hehir-Kwa
- Princess Máxima Center for Pediatric Oncology, Lundlaan 6, 3584 EA, Utrecht, The Netherlands
| | - Andreas Heinz
- Dept. of Psychiatry and Psychotherapie, Charite, Humboldt University, Chariteplatz 1, 10017, Berlin, Germany
| | - Manon H J Hillegers
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
- Child and adolescent Psychiatry / Psychology, Erasmus medical center-Sophia's Childerens hospitaal, Rotterdam, Wytemaweg 8, 3000 CB, Rotterdam, The Netherlands
| | - Per Hoffmann
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Schönbeinstrasse 40, 4031, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany
| | - Laurena Holleran
- The Centre for Neuroimaging & Cognitive Genomics (NICOG) and NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Jouke-Jan Hottenga
- Biological Psychology, Vrije Universiteit Amsterdam, van Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Hilleke E Hulshoff
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Masashi Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, USA
| | - Terry Jernigan
- Center for Human Development, University of California San Diego, San Diego, CA, USA
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Wilhelm-Johnen-Str., 52425, Juelich, Germany
- JARA-BRAIN, Juelich-Aachen Research Alliance, Wilhelm-Johnen-Str., 52425, Juelich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Medical Faculty, Pauwelsstraße 30, 52074, Aachen, Germany
| | - Stefan Johansson
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
- K.G. Jebsen Centre for Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | | | - Erik G Jönsson
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Karolinska University Hospital Solna, R5:00, SE-17176, Stockholm, Sweden
| | - Rene Kahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Tobias Kaufmann
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Sinead Kelly
- The Centre for Neuroimaging & Cognitive Genomics (NICOG) and NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Masataka Kikuchi
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Emma E M Knowles
- Department of Psychiatry, Yale University, 40 Temple Street, 6515, New Haven, CT, USA
| | - Knut K Kolskår
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - John B Kwok
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Stephanie Le Hellard
- NORMENT - KG Jebsen Centre, Department of Clinical Science, University of Bergen, Jonas Lies veg 87, 5021, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Jonas Lies veg 87, 5021, Bergen, Norway
| | - Costin Leu
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Institute of Neurology, University College London, London, United Kingdom
| | - Jingyu Liu
- The Mind Research Network, 1101 Yale Blvd., 87106, Albuquerque, CT, USA
- Dept. of Electrical and Computer Engineering, University of New Mexico, 87131, Albuquerque, New Mexico, USA
| | - Astri J Lundervold
- K.G. Jebsen Centre for Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
- Department of Biological and Medical Psychology, Jonas Lies vei 91, N-5009, Bergen, Norway
| | - Arvid Lundervold
- Department of Biomedicine, University of Bergen, 5009, Bergen, Norway
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Karen Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Samuel R Mathias
- Department of Psychiatry, Yale University, 40 Temple Street, 6515, New Haven, CT, USA
| | - Mark McCormack
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, 123 St. Stephens Green, D02 YN77, Dublin, Ireland
- Centre for Molecular Medicine, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, Netherlands
| | - Katie L McMahon
- Centre for Advanced Imaging, University of Queensland, Brisbane, Queensland, Australia
| | - Allan McRae
- Program in Complex Trait Genomics, Institute for Molecular Bioscience, University of Queensland, St Lucia, Queensland, Australia
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, VU University Medical Center/GGZ inGeest, Amsterdam, The Netherlands, Oldenaller 1, 1081 HJ, Amsterdam, The Netherlands
| | - Clara Moreau
- CHU Sainte-Justine Research Center, Université de Montréal, Montréal, QC, Canada
| | - Derek Morris
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging, Cognition & Genomics Centre (NICOG) & NCBES Galway Neuroscience Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, H91 TK33, Galway, Ireland
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Psychiatry, Trinity College Dublin, Dublin 8, Ireland
| | - David Mothersill
- The Centre for Neuroimaging & Cognitive Genomics (NICOG) and NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Thomas W Mühleisen
- Institute of Neuroscience and Medicine (INM-1), Structural and Functional Organisation of the Brain, Genomic Imaging, Research Centre Juelich, Leo-Brandt-Strasse 5, 52425, Jülich, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland
| | - Robin Murray
- Departments of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Jan E Nordvik
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Lars Nyberg
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187, Umeå, Sweden
| | - Loes M Olde Loohuis
- Center for Neurobehavioral Genetics, University of California, Los Angeles, California, 90095, USA
| | - Roel Ophoff
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
- Center for Neurobehavioral Genetics, University of California, Los Angeles, California, 90095, USA
| | - Tomas Paus
- Rotman Research Institute, University of Toronto, Toronto, M6A 2E1, Canada
- Department of Psychiatry, University of Toronto, Toronto, M5S 1A1, Canada
- Center for Developing Brain, Child Mind Institute, New York, NY, 10022, USA
- Department of Psychology, University of Toronto, Toronto, M5S 1A1, Canada
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, M5G 1X8, Canada
| | - Brenda Penninx
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, VU University Medical, Amsterdam, Netherlands
| | - Juan M Peralta
- South Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, One West University Blvd., 78520, Brownsville, TX, USA
| | - Bruce Pike
- Departments of Radiology & Clinical Neuroscience, University of Calgary, Calgary, T2N 1N4, Canada
| | - Carlos Prieto
- Bioinformatics Service, Nucleus, University of Salamanca (USAL), 37007, Salamanca, Spain
| | - Sara Pudas
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187, Umeå, Sweden
- Department of Integrative Medical Biology, Linnéus väg 9, 901 87, Umeå, Sweden
| | - Erin Quinlan
- Centre for Population Neuroscience and Stratified Medicine, Social, Genetic and Development Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, SE5 8AF, London, UK
| | - Daniel S Quintana
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Céline S Reinbold
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Schönbeinstrasse 40, 4031, Basel, Switzerland
| | - Tiago Reis Marques
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, SE5 8AF, London, United Kingdom
- Psychiatry Imaging Group, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital, Du Cane Road, W12 0NN, London, UK
| | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne, Genopode building, CH-1015, Lausanne, Switzerland
| | - Genevieve Richard
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Borja Rodriguez-Herreros
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland
- CHU Sainte-Justine Research Center, Université de Montréal, Montréal, QC, Canada
| | - Roberto Roiz-Santiañez
- Department of Medicine and Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, 39008, Santander, Spain
- CIBERSAM (Centro Investigación Biomédica en Red Salud Mental), Santander, 39011, Spain
| | - Jarek Rokicki
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - James Rucker
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, United Kingdom
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Anne-Marthe Sanders
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Sigrid B Sando
- Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurology, University Hospital of Trondheim, Edvard Griegs gate 8, N-7006, Trondheim, Norway
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, 35 Poplar Road, 3502, Parkville, New Mexico, Australia
- Centre for Youth Mental Health, The University of Melbourne, 35 Poplar Road, 3502, Parkville, Victoria, Australia
- Department of Psychiatry, VU University Medical Center, 1007 MB, Amsterdam, The Netherlands
| | - Peter R Schofield
- Neuroscience Research Australia, Randwick, Australia
- School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Andrew J Schork
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, USA
| | - Gunter Schumann
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Jean Shin
- The Hospital for Sick Children, University of Toronto, Toronto, M5G 1X8, Canada
- Center for Neurobehavioral Genetics, University of California, Los Angeles, California, 90095, USA
| | - Elena Shumskaya
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Sanjay Sisodiya
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, London, UK
| | - Vidar M Steen
- NORMENT - KG Jebsen Centre, Department of Clinical Science, University of Bergen, Jonas Lies veg 87, 5021, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Jonas Lies veg 87, 5021, Bergen, Norway
| | - Dan J Stein
- Dept of Psychiatry, University of Cape Town, Groote Schuur Hospital, Anzio Rd, 7925, Cape Town, South Africa
- MRC Unit on Risk & Resilience in Mental Disorders, Stellenbosch, South Africa
| | | | - Lachlan Strike
- Queensland Brain Institute, University of Queensland, St Lucia, Queensland, Australia
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Anbu Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Diana Tordesillas-Gutierrez
- CIBERSAM (Centro Investigación Biomédica en Red Salud Mental), Santander, 39011, Spain
- Neuroimaging Unit, Technological Facilities. Valdecilla Biomedical Research Institute IDIVAL, Santander, Cantabria, 39011, Spain
| | - Jessica Turner
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - Torill Ueland
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Anne Uhlmann
- Department of Psychiatry and Mental Health, Anzio Road, 7925, Cape Town, South Africa
- Department of Psychiatry, Stellenbosch University, TBH Francie van Zijl Avenue, 7500, Cape Town, South Africa
- Department of Psychiatry, 1 South Prospect Street, 5401, Burlington, Vermont, USA
| | - Magnus O Ulfarsson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland
| | - Dennis van 't Ent
- Biological Psychology, Vrije Universiteit Amsterdam, van Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Dennis van der Meer
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Neeltje E M van Haren
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Anja Vaskinn
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Evangelos Vassos
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, SE5 8AF, London, UK
| | - G Bragi Walters
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Yunpeng Wang
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Christopher D Whelan
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, 123 St. Stephens Green, D02 YN77, Dublin, Ireland
| | - Katharina Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Greifswald, Greifswald, Germany
| | - Margie Wright
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Centre for Advanced Imaging, University of Queensland, St Lucia, Queensland, Australia
| | - Hidenaga Yamamori
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Tetyana Zayats
- K.G. Jebsen Centre for Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
- Department of Biomedicine, University of Bergen, 5009, Bergen, Norway
| | - Ingrid Agartz
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Lars T Westlye
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Sébastien Jacquemont
- CHU Sainte-Justine Research Center, Université de Montréal, Montréal, QC, Canada
- Department of Pediatrics, University of Montreal, Montreal, H3C 3J7, Canada
| | - Srdjan Djurovic
- NORMENT - KG Jebsen Centre, Department of Clinical Science, University of Bergen, Jonas Lies veg 87, 5021, Bergen, Norway
- Department of Medical Genetics, Oslo University Hospital, Kirkeveien 166, 424, Oslo, Norway
| | | | - Kári Stefánsson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Paul Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, USA
| | - Ole A Andreassen
- NORMENT, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
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10
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Talboom JS, Håberg A, De Both MD, Naymik MA, Schrauwen I, Lewis CR, Bertinelli SF, Hammersland C, Fritz MA, Myers AJ, Hay M, Barnes CA, Glisky E, Ryan L, Huentelman MJ. Family history of Alzheimer's disease alters cognition and is modified by medical and genetic factors. eLife 2019; 8:46179. [PMID: 31210642 PMCID: PMC6615857 DOI: 10.7554/elife.46179] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 06/13/2019] [Indexed: 01/02/2023] Open
Abstract
In humans, a first-degree family history of dementia (FH) is a well-documented risk factor for Alzheimer’s disease (AD); however, the influence of FH on cognition across the lifespan is poorly understood. To address this issue, we developed an internet-based paired-associates learning (PAL) task and tested 59,571 participants between the ages of 18–85. FH was associated with lower PAL performance in both sexes under 65 years old. Modifiers of this effect of FH on PAL performance included age, sex, education, and diabetes. The Apolipoprotein E ε4 allele was also associated with lower PAL scores in FH positive individuals. Here we show, FH is associated with reduced PAL performance four decades before the typical onset of AD; additionally, several heritable and non-heritable modifiers of this effect were identified.
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Affiliation(s)
- Joshua S Talboom
- The Translational Genomics Research Institute, Phoenix, United States.,Arizona Alzheimer's Consortium, Phoenix, United States
| | - Asta Håberg
- Norwegian University of Science and Technology, Trondheim, Norway
| | - Matthew D De Both
- The Translational Genomics Research Institute, Phoenix, United States.,Arizona Alzheimer's Consortium, Phoenix, United States
| | - Marcus A Naymik
- The Translational Genomics Research Institute, Phoenix, United States.,Arizona Alzheimer's Consortium, Phoenix, United States
| | - Isabelle Schrauwen
- The Translational Genomics Research Institute, Phoenix, United States.,Arizona Alzheimer's Consortium, Phoenix, United States
| | - Candace R Lewis
- The Translational Genomics Research Institute, Phoenix, United States.,Arizona Alzheimer's Consortium, Phoenix, United States
| | | | | | - Mason A Fritz
- The Translational Genomics Research Institute, Phoenix, United States
| | | | - Meredith Hay
- Arizona Alzheimer's Consortium, Phoenix, United States.,University of Arizona, Tucson, United States
| | - Carol A Barnes
- Arizona Alzheimer's Consortium, Phoenix, United States.,University of Arizona, Tucson, United States
| | - Elizabeth Glisky
- Arizona Alzheimer's Consortium, Phoenix, United States.,University of Arizona, Tucson, United States
| | - Lee Ryan
- Arizona Alzheimer's Consortium, Phoenix, United States.,University of Arizona, Tucson, United States
| | - Matthew J Huentelman
- The Translational Genomics Research Institute, Phoenix, United States.,Arizona Alzheimer's Consortium, Phoenix, United States
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11
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Aanes S, Bjuland KJ, Sripada K, Sølsnes AE, Grunewaldt KH, Håberg A, Løhaugen GC, Skranes J. Reduced hippocampal subfield volumes and memory function in school-aged children born preterm with very low birthweight (VLBW). Neuroimage Clin 2019; 23:101857. [PMID: 31136968 PMCID: PMC6536855 DOI: 10.1016/j.nicl.2019.101857] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 05/07/2019] [Accepted: 05/09/2019] [Indexed: 01/31/2023]
Abstract
BACKGROUND The hippocampus, an essential structure for learning and memory, has a reduced volume in preterm born (gestational age < 37 weeks) individuals with very low birth weight (VLBW: birth weight < 1500 g), which may affect memory function. However, the hippocampus is a complex structure with distinct subfields related to specific memory functions. These subfields are differentially affected by a variety of neuropathological conditions, but it remains unclear how these subfields may be affected by medical complications following preterm birth which may cause aberrant brain development, and the consequences of this on learning and memory function in children with VLBW. METHODS Children born preterm with VLBW (n = 34) and term-born controls from the Norwegian Mother and Child Cohort Study (MoBa) (n = 104) underwent structural MRI and a neuropsychological assessment of memory function at primary school age. FreeSurfer 6.0 was used to analyze the volumes of hippocampal subfields which were compared between groups, as was memory performance. Correlations between abnormal hippocampal subfields and memory performance were explored in the VLBW group. RESULTS All absolute hippocampal subfield volumes were lower in the children with VLBW compared to MoBa term-born controls, and the volumes of the left and right dentate gyrus and the right subiculum remained significantly lower after correcting for total intracranial volume. The VLBW group had inferior working memory performance and the score on the subtest Spatial Span backwards was positively correlated to the volume of the right dentate gyrus. CONCLUSIONS Hippocampal subfield volumes seem to be differently affected by early brain development related to preterm birth. The dentate gyrus appears particularly susceptible to adverse effects of preterm birth. Reduced working memory function among children with VLBW was associated with smaller volume of right dentate gyrus. This finding demonstrates alterations in hippocampal structure-function relationships associated with early brain development related to preterm birth.
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Affiliation(s)
- Synne Aanes
- Department of Clinical and Molecular Medicine, Norwegian University of Science & Technology, Trondheim, Norway.
| | | | - Kam Sripada
- Department of Clinical and Molecular Medicine, Norwegian University of Science & Technology, Trondheim, Norway
| | - Anne Elisabeth Sølsnes
- Department of Clinical and Molecular Medicine, Norwegian University of Science & Technology, Trondheim, Norway
| | - Kristine H Grunewaldt
- Department of Clinical and Molecular Medicine, Norwegian University of Science & Technology, Trondheim, Norway; Department of Pediatrics, St Olav University Hospital, Trondheim, Norway
| | - Asta Håberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science & Technology, Trondheim, Norway
| | - Gro C Løhaugen
- Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
| | - Jon Skranes
- Department of Clinical and Molecular Medicine, Norwegian University of Science & Technology, Trondheim, Norway; Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
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12
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Moe HK, Moen KG, Skandsen T, Kvistad KA, Laureys S, Håberg A, Vik A. The Influence of Traumatic Axonal Injury in Thalamus and Brainstem on Level of Consciousness at Scene or Admission: A Clinical Magnetic Resonance Imaging Study. J Neurotrauma 2018; 35:975-984. [PMID: 29334825 PMCID: PMC5865618 DOI: 10.1089/neu.2017.5252] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
The aim of this study was to investigate how traumatic axonal injury (TAI) lesions in the thalamus, basal ganglia, and brainstem on clinical brain magnetic resonance imaging (MRI) are associated with level of consciousness in the acute phase in patients with moderate to severe traumatic brain injury (TBI). There were 158 patients with moderate to severe TBI (7-70 years) with early 1.5T MRI (median 7 days, range 0-35) without mass lesion included prospectively. Glasgow Coma Scale (GCS) scores were registered before intubation or at admission. The TAI lesions were identified in T2*gradient echo, fluid attenuated inversion recovery, and diffusion weighted imaging scans. In addition to registering TAI lesions in hemispheric white matter and the corpus callosum, TAI lesions in the thalamus, basal ganglia, and brainstem were classified as uni- or bilateral. Twenty percent of patients had TAI lesions in the thalamus (7% bilateral), 18% in basal ganglia (2% bilateral), and 29% in the brainstem (9% bilateral). One of 26 bilateral lesions in the thalamus or brainstem was found on computed tomography. The GCS scores were lower in patients with bilateral lesions in the thalamus (median four) and brainstem (median five) than in those with corresponding unilateral lesions (median six and eight, p = 0.002 and 0.022). The TAI locations most associated with low GCS scores in univariable ordinal regression analyses were bilateral TAI lesions in the thalamus (odds ratio [OR] 35.8; confidence interval [CI: 10.5-121.8], p < 0.001), followed by bilateral lesions in basal ganglia (OR 13.1 [CI: 2.0-88.2], p = 0.008) and bilateral lesions in the brainstem (OR 11.4 [CI: 4.0-32.2], p < 0.001). This Trondheim TBI study showed that patients with bilateral TAI lesions in the thalamus, basal ganglia, or brainstem had particularly low consciousness at admission. We suggest these bilateral lesions should be evaluated further as possible biomarkers in a new TAI-MRI classification as a worst grade, because they could explain low consciousness in patients without mass lesions.
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Affiliation(s)
- Hans Kristian Moe
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Kent Gøran Moen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Medical Imaging, Levanger Hospital, Levanger, Norway
| | - Toril Skandsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Physical Medicine and Rehabilitation, St. Olavs University Hospital, Trondheim, Norway
| | - Kjell Arne Kvistad
- Department of Radiology and Nuclear Medicine, St. Olavs University Hospital, Trondheim, Norway
| | - Steven Laureys
- Coma Science Group, Cyclotron Research Center and University Hospital of Liège, University of Liège, Liège, Belgium
| | - Asta Håberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs University Hospital, Trondheim, Norway
| | - Anne Vik
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Neurosurgery, St. Olavs University Hospital, Trondheim, Norway
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13
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Aasheim LB, Karlberg A, Goa PE, Håberg A, Sørhaug S, Fagerli UM, Eikenes L. PET/MR brain imaging: evaluation of clinical UTE-based attenuation correction. Eur J Nucl Med Mol Imaging 2015; 42:1439-46. [PMID: 25900276 DOI: 10.1007/s00259-015-3060-3] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Accepted: 04/01/2015] [Indexed: 11/26/2022]
Abstract
UNLABELLED One of the greatest challenges in PET/MR imaging is that of accurate MR-based attenuation correction (AC) of the acquired PET data, which must be solved if the PET/MR modality is to reach its full potential. The aim of this study was to investigate the performance of Siemens' most recent version (VB20P) of MR-based AC of head PET data, by comparing it to CT-based AC. METHODS (18)F-FDG PET data from seven lymphoma and twelve lung cancer patients examined with a Biograph mMR PET/MR system were reconstructed with both CT-based and MR-based AC, avoiding sources of error arising when comparing PET data from different systems. The resulting images were compared quantitatively by measuring changes in mean SUV in ten different brain regions in both hemispheres, as well as the brainstem. In addition, the attenuation maps (μ maps) were compared regarding volume and localization of cranial bone. RESULTS The UTE μ maps clearly overestimate the amount of bone in the neck, while slightly underestimating the amount of bone in the cranium, and the localization of bone in the cranial region also differ from the CT μ maps. In air/tissue interfaces in the sinuses and ears, the MRAC method struggles to correctly classify the different tissues. The misclassification of tissue is most likely caused by a combination of artefacts and the insufficiency of the UTE method to accurately separate bone. Quantitatively, this results in a combination of overestimation (0.5-3.6 %) and underestimation (2.7-5.2 %) of PET activity throughout the brain, depending on the proximity to the inaccurate regions. CONCLUSIONS Our results indicate that the performance of the UTE method as implemented in VB20P is close to the theoretical maximum of such an MRAC method in the brain, while it does not perform satisfactorily in the neck or face/nasal area. Further improvement of the UTE MRAC or other available methods for more accurate segmentation of bone should be incorporated.
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Affiliation(s)
- Lars Birger Aasheim
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), 7489, Trondheim, Norway,
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14
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Honningsvåg LM, Hagen K, Håberg A, Stovner LJ, Linde M. Intracranial abnormalities and headache: A population-based imaging study (HUNT MRI). Cephalalgia 2015; 36:113-21. [DOI: 10.1177/0333102415583147] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2014] [Accepted: 03/14/2015] [Indexed: 01/03/2023]
Abstract
Background Most studies on intracranial abnormalities among headache sufferers were performed in selected clinical populations. The aim of this study was to evaluate the relationship between intracranial abnormalities and headache among middle-aged adults in the general population. Methods Participants in a large epidemiological study (the HUNT 3 study; 2006–2008) who answered a headache questionnaire and participated in a population-based imaging study of the head (HUNT MRI; 2007–2009) were included ( n = 864; age, 50–65 at enrollment). Based on the responses to the HUNT 3 questionnaire, respondents were categorized as having migraine, tension-type headache, or unclassified headache. Logistic regression was used to compare the occurrence of intracranial abnormalities between groups. Results Intracranial abnormalities were more common in headache sufferers than in headache-free individuals (29% vs. 22%, respectively; p = 0.041). Adjusted multivariate analyses revealed that those with tension-type headache had higher odds of having minor abnormalities (odds ratio, 2.13; 95% confidence interval = 1.18–3.85). This association disappeared when those with only white matter hyperintensities were removed from the analysis. Conclusions Headache sufferers had increased odds of minor intracranial abnormalities. The increased odds were primarily related to the presence of white matter hyperintensities.
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Affiliation(s)
| | - Knut Hagen
- Department of Neuroscience, Norwegian University of Science and Technology, Norway
- Norwegian Advisory Unit on Headache, St. Olavs University Hospital, Norway
| | - Asta Håberg
- Department of Neuroscience, Norwegian University of Science and Technology, Norway
| | - Lars Jacob Stovner
- Department of Neuroscience, Norwegian University of Science and Technology, Norway
- Norwegian Advisory Unit on Headache, St. Olavs University Hospital, Norway
| | - Mattias Linde
- Department of Neuroscience, Norwegian University of Science and Technology, Norway
- Norwegian Advisory Unit on Headache, St. Olavs University Hospital, Norway
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15
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Sølsnes AE, Grunewaldt KH, Bjuland KJ, Stavnes EM, Bastholm IA, Aanes S, Østgård HF, Håberg A, Løhaugen GCC, Skranes J, Rimol LM. Cortical morphometry and IQ in VLBW children without cerebral palsy born in 2003-2007. Neuroimage Clin 2015; 8:193-201. [PMID: 26106543 PMCID: PMC4473819 DOI: 10.1016/j.nicl.2015.04.004] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2015] [Revised: 03/19/2015] [Accepted: 04/07/2015] [Indexed: 11/26/2022]
Abstract
Children born prematurely with very low birth weight (VLBW: bw ≤ 1500 g) have an increased risk of preterm perinatal brain injury, which may subsequently alter the maturation of the brain, including the cerebral cortex. The aim of study was to assess cortical thickness and surface area in VLBW children compared with term-born controls, and to investigate possible relationships between cortical morphology and Full IQ. In this cross-sectional study, 37 VLBW and 104 term children born between the years 2003–2007 were assessed cognitively at 5–10 years of age, using age appropriate Wechsler tests. The FreeSurfer software was used to obtain estimates of cortical thickness and surface area based on T1-weighted MRI images at 1.5 Tesla. The VLBW children had smaller cortical surface area bilaterally in the frontal, temporal, and parietal lobes. A thicker cortex in the frontal and occipital regions and a thinner cortex in posterior parietal areas were observed in the VLBW group. There were significant differences in Full IQ between groups (VLBW M = 98, SD = 9.71; controls M = 108, SD = 13.57; p < 0.001). There was a positive relationship between IQ and surface area in both groups, albeit significant only in the larger control group. In the VLBW group, reduced IQ was associated with frontal cortical thickening and temporo-parietal thinning. We conclude that cortical deviations are evident in childhood even in VLBW children born in 2003–2007 who have received state of the art medical treatment in the perinatal period and who did not present with focal brain injuries on neonatal ultrasonography. The cortical deviations were associated with reduced cognitive functioning. Cortical deviations are evident even in VLBW children born in 2003–2007 A smaller surface area was observed in widespread cortical regions in VLBW children VLBW children had frontal and occipital cortical thickening and parietal thinning VLBW children had reduced Full IQ compared to term born peers The cortical deviations were partially associated with reduced cognitive functioning
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Affiliation(s)
| | - Kristine H Grunewaldt
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway ; Department of Pediatrics, St. Olav University Hospital, Trondheim, Norway
| | - Knut J Bjuland
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway
| | - Elisabeth M Stavnes
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway
| | - Irén A Bastholm
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway
| | - Synne Aanes
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway
| | - Heidi F Østgård
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway
| | - Asta Håberg
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
| | - Gro C C Løhaugen
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway ; Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
| | - Jon Skranes
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway ; Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
| | - Lars M Rimol
- Department of Laboratory Medicine, Children's and Women's Health, Trondheim, Norway
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Hansen TI, Brezova V, Eikenes L, Håberg A, Vangberg TR. How Does the Accuracy of Intracranial Volume Measurements Affect Normalized Brain Volumes? Sample Size Estimates Based on 966 Subjects from the HUNT MRI Cohort. AJNR Am J Neuroradiol 2015; 36:1450-6. [PMID: 25857759 DOI: 10.3174/ajnr.a4299] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Accepted: 01/28/2015] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The intracranial volume is commonly used for correcting regional brain volume measurements for variations in head size. Accurate intracranial volume measurements are important because errors will be propagated to the corrected regional brain volume measurements, possibly leading to biased data or decreased power. Our aims were to describe a fully automatic SPM-based method for estimating the intracranial volume and to explore the practical implications of different methods for obtaining the intracranial volume and normalization methods on statistical power. MATERIALS AND METHODS We describe a method for calculating the intracranial volume that can use either T1-weighted or both T1- and T2-weighted MR images. The accuracy of the method was compared with manual measurements and automatic estimates by FreeSurfer and SPM-based methods. Sample size calculations on intracranial volume-corrected regional brain volumes with intracranial volume estimates from FreeSurfer, SPM, and our proposed method were used to explore the benefits of accurate intracranial volume estimates. RESULTS The proposed method for estimating the intracranial volume compared favorably with the other methods evaluated here, with mean and absolute differences in manual measurements of -0.1% and 2.2%, respectively, and an intraclass correlation coefficient of 0.97 when using T1-weighted images. Using both T1- and T2-weighted images for estimating the intracranial volume slightly improved the accuracy. Sample size calculations showed that both the accuracy of intracranial volume estimates and the method for correcting the regional volume measurements affected the sample size. CONCLUSIONS Accurate intracranial volume estimates are most important for ratio-corrected regional brain volumes, for which our proposed method can provide increased power in intracranial volume-corrected regional brain volume data.
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Affiliation(s)
- T I Hansen
- From the Departments of Neuroscience (T.I.H., V.B., A.H.) Department of Medical Imaging (T.I.H., V.B., A.H.), St. Olavs Hospital Trondheim University Hospital, Trondheim, Norway
| | - V Brezova
- From the Departments of Neuroscience (T.I.H., V.B., A.H.) Department of Medical Imaging (T.I.H., V.B., A.H.), St. Olavs Hospital Trondheim University Hospital, Trondheim, Norway
| | - L Eikenes
- Circulation and Medical Imaging (L.E.), Norwegian University of Science and Technology, Trondheim, Norway
| | - A Håberg
- From the Departments of Neuroscience (T.I.H., V.B., A.H.) Department of Medical Imaging (T.I.H., V.B., A.H.), St. Olavs Hospital Trondheim University Hospital, Trondheim, Norway
| | - T R Vangberg
- Medical Imaging Research Group (T.R.V.), Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway Department of Radiology (T.R.V.), University Hospital North Norway, Tromsø, Norway.
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Morken TS, Brekke E, Håberg A, Widerøe M, Brubakk AM, Sonnewald U. Altered Astrocyte–Neuronal Interactions After Hypoxia-Ischemia in the Neonatal Brain in Female and Male Rats. Stroke 2014; 45:2777-85. [DOI: 10.1161/strokeaha.114.005341] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Affiliation(s)
- Tora Sund Morken
- From the Department of Laboratory Medicine, Children’s and Women’s Health (T.S.M., A.-M.B.), Department of Neuroscience (E.B., A.H., U.S.), and Departments of Circulation and Medical Imaging (M.W.), Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Departments of Physical Medicine and Rehabilitation, St Olavs Hospital HF, Trondheim, Norway (T.S.M.); and Department of Medicine, Nordland Hospital Trust, Bodo, Norway (E.B.)
| | - Eva Brekke
- From the Department of Laboratory Medicine, Children’s and Women’s Health (T.S.M., A.-M.B.), Department of Neuroscience (E.B., A.H., U.S.), and Departments of Circulation and Medical Imaging (M.W.), Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Departments of Physical Medicine and Rehabilitation, St Olavs Hospital HF, Trondheim, Norway (T.S.M.); and Department of Medicine, Nordland Hospital Trust, Bodo, Norway (E.B.)
| | - Asta Håberg
- From the Department of Laboratory Medicine, Children’s and Women’s Health (T.S.M., A.-M.B.), Department of Neuroscience (E.B., A.H., U.S.), and Departments of Circulation and Medical Imaging (M.W.), Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Departments of Physical Medicine and Rehabilitation, St Olavs Hospital HF, Trondheim, Norway (T.S.M.); and Department of Medicine, Nordland Hospital Trust, Bodo, Norway (E.B.)
| | - Marius Widerøe
- From the Department of Laboratory Medicine, Children’s and Women’s Health (T.S.M., A.-M.B.), Department of Neuroscience (E.B., A.H., U.S.), and Departments of Circulation and Medical Imaging (M.W.), Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Departments of Physical Medicine and Rehabilitation, St Olavs Hospital HF, Trondheim, Norway (T.S.M.); and Department of Medicine, Nordland Hospital Trust, Bodo, Norway (E.B.)
| | - Ann-Mari Brubakk
- From the Department of Laboratory Medicine, Children’s and Women’s Health (T.S.M., A.-M.B.), Department of Neuroscience (E.B., A.H., U.S.), and Departments of Circulation and Medical Imaging (M.W.), Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Departments of Physical Medicine and Rehabilitation, St Olavs Hospital HF, Trondheim, Norway (T.S.M.); and Department of Medicine, Nordland Hospital Trust, Bodo, Norway (E.B.)
| | - Ursula Sonnewald
- From the Department of Laboratory Medicine, Children’s and Women’s Health (T.S.M., A.-M.B.), Department of Neuroscience (E.B., A.H., U.S.), and Departments of Circulation and Medical Imaging (M.W.), Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Departments of Physical Medicine and Rehabilitation, St Olavs Hospital HF, Trondheim, Norway (T.S.M.); and Department of Medicine, Nordland Hospital Trust, Bodo, Norway (E.B.)
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Moen KT, Jørgensen L, Olsen A, Håberg A, Skandsen T, Vik A, Brubakk AM, Evensen KAI. High-level mobility in chronic traumatic brain injury and its relationship with clinical variables and magnetic resonance imaging findings in the acute phase. Arch Phys Med Rehabil 2014; 95:1838-45. [PMID: 24814461 DOI: 10.1016/j.apmr.2014.04.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2014] [Accepted: 04/12/2014] [Indexed: 11/28/2022]
Abstract
OBJECTIVES To compare high-level mobility in individuals with chronic moderate-to-severe traumatic brain injury (TBI) with matched healthy controls, and to investigate whether clinical variables and magnetic resonance imaging (MRI) findings in the acute phase can predict high-level motor performance in the chronic phase. DESIGN A longitudinal follow-up study. SETTING A level 1 trauma center. PARTICIPANTS Individuals (N=136) with chronic TBI (n=65) and healthy matched peers (n=71). INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES High-Level Mobility Assessment Tool (HiMAT) and the revised version of the HiMAT performed at a mean of 2.8 years (range, 1.5-5.4y) after injury. RESULTS Participants with chronic TBI had a mean HiMAT score of 42.7 (95% confidence interval [CI], 40.2-45.2) compared with 47.7 (95% CI, 46.1-49.2) in the control group (P<.01). Group differences were also evident using the revised HiMAT (P<.01). Acute-phase clinical variables and MRI findings explained 58.8% of the variance in the HiMAT score (P<.001) and 59.9% in the revised HiMAT score (P<.001). Lower HiMAT scores were associated with female sex (P=.031), higher age at injury (P<.001), motor vehicle collisions (P=.030), and posttraumatic amnesia >7 days (P=.048). There was a tendency toward an association between lower scores and diffuse axonal injury in the brainstem (P=.075). CONCLUSIONS High-level mobility was reduced in participants with chronic, either moderate or severe TBI compared with matched peers. Clinical variables in the acute phase were significantly associated with high-level mobility performance in participants with TBI, but the role of early MRI findings needs to be further investigated. The findings of this study suggest that the clinical variables in the acute phase may be useful in predicting high-level mobility outcome in the chronic phase.
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Affiliation(s)
- Kine Therese Moen
- Stiftelsen CatoSenteret, Department of Medical Rehabilitation Services, Son, Norway.
| | - Lone Jørgensen
- Department of Health and Care Sciences and the Tromsø Endocrine Research Group, University of Tromsø, Tromsø, Norway; Department of Clinical Therapeutic Services, University Hospital of North Norway, Tromsø, Norway
| | - Alexander Olsen
- Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Asta Håberg
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
| | - Toril Skandsen
- Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway; Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
| | - Anne Vik
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway; Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Ann-Mari Brubakk
- Department of Laboratory Medicine, Children's and Women's Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kari Anne I Evensen
- Department of Laboratory Medicine, Children's and Women's Health, Norwegian University of Science and Technology, Trondheim, Norway; Department of Public Health and General Practice, Norwegian University of Science and Technology, Trondheim, Norway; Department of Physiotherapy, Trondheim Municipality, Norway
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Skranes J, Løhaugen GC, Martinussen M, Håberg A, Brubakk AM, Dale AM. Cortical surface area and IQ in very-low-birth-weight (VLBW) young adults. Cortex 2013; 49:2264-71. [DOI: 10.1016/j.cortex.2013.06.001] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2012] [Revised: 03/26/2013] [Accepted: 06/07/2013] [Indexed: 10/26/2022]
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Müller TB, Sandvei MS, Kvistad KA, Rydland J, Håberg A, Vik A, Gårseth M, Stovner LJ. Unruptured Intracranial Aneurysms in the Norwegian Nord-Trøndelag Health Study (HUNT). Neurosurgery 2013; 73:256-61; discussion 260; quiz 261. [DOI: 10.1227/01.neu.0000430295.23799.16] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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Honningsvåg LM, Linde M, Håberg A, Stovner LJ, Hagen K. Does health differ between participants and non-participants in the MRI-HUNT study, a population based neuroimaging study? The Nord-Trøndelag health studies 1984-2009. BMC Med Imaging 2012; 12:23. [PMID: 22846223 PMCID: PMC3472234 DOI: 10.1186/1471-2342-12-23] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2012] [Accepted: 07/17/2012] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Bias with regard to participation in epidemiological studies can have a large impact on the generalizability of results. Our aim was to investigate the direction and magnitude of potential bias by comparing health-related factors among participants and non-participants in a MRI-study based on HUNT, a large Norwegian health survey. METHODS Of 14,033 individuals aged 50-65, who had participated in all three large public health surveys within the Norwegian county of Nord-Trøndelag (HUNT 1, 2 and 3), 1,560 who lived within 45 minutes of travel from the city of Levanger were invited to a MRI study (MRI-HUNT). The sample of participants in MRI-HUNT (n = 1,006) were compared with those who were invited but did not participate (n = 554) and with those who were eligible but not invited (n = 12,473), using univariate analyses and logistic regression analyses adjusting for age and education level. RESULTS Self-reported health did not differ between the three groups, but participants had a higher education level and were somewhat younger than the two other groups. In the adjusted multivariate analyses, obesity was consistently less prevalent among participants. Significant differences in blood pressure and cholesterol were also found. CONCLUSION This is the first large population-based study comparing participants and non-participants in an MRI study with regard to general health. The groups were not widely different, but participants had a higher level of education, and were less likely to be obese and have hypertension, and were slightly younger than non-participants. The observed differences between participants and non-invited individuals are probably partly explained by the inclusion criterion that participants had to live within 45 minutes of transport to where the MRI examination took place. One will expect that the participants have somewhat less brain morphological changes related to cardiovascular risk factors than the general population. Such consequences underline the crucial importance of evaluation of non-participants in MRI studies.
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Affiliation(s)
- Lasse-Marius Honningsvåg
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, 7491, Norway.
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22
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Johnson M, Brennecke S, Iversen AC, East C, Olsen G, Kent J, Dyer T, Said J, Roten L, Abraham L, Zwart JA, Winsvold B, Håberg A, Huentelman M, Krokan H, Gabrielsen M, Austgulen R, Blangero J, Moses E. OS046. Genome-wide association scans identify novel maternalsusceptibility loci for preeclampsia. Pregnancy Hypertens 2012; 2:202. [PMID: 26105260 DOI: 10.1016/j.preghy.2012.04.047] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
INTRODUCTION We have successfully utilized a family-based study design to localize several positional candidate preeclampsia susceptibility genes to chromosomes 2q22(ACVR2A,LCT,LRP1B,RND3,GCA),5q (ERAP2) and 13q(TNFSF13B). We now report on our continued positional cloning efforts using an alternative genome-wide association (GWA) mapping strategy in large Caucasian case-control cohorts from Australia and Norway. OBJECTIVES To identify maternal genetic risk loci for preeclampsia. METHODS The unrelated Australian samples (545 cases,547 controls) were genotyped using Illumina BeadChip technology (700K loci) and have been analyzed using PLINK. All unrelated Norwegian samples were genotyped across several Illumina BeadChip substrates and consist of 847 cases (700K loci) and 638 controls. The Norwegian control samples originate from other HUNT studies pertaining to migraine (n=95,700K loci), lung cancer (n=89,370K loci) and normal brain pathology (n=454,2.5M loci). To analyze a concordant set of 2.5-3 million genotypes across all Norwegian samples we are currently using MaCH to impute those loci not directly genotyped. The Norwegian GWA data will be analyzed in SOLAR utilizing empirical kinship estimates to account for any distant relatedness. RESULTS 1078 Australian samples (538 cases,540 controls) and 648, 175 SNPs passed our quality control metrics. Two SNP associations (rs7579169,p=3.6×10(-7); rs12711941,p=4.3×10(-7)) satisfied our genome-wide significant threshold (p<5.1×10(-7)). These SNPs reside less than 15kb downstream from the 3 terminus of the Inhibin, beta B (INHBB) gene on 2q14.2. Sequencing of the INHBB locus in our patient cohort identified a third intergenic SNP to significantly associate with preeclampsia (rs7576192,p=1.5×10(-7)). These three SNPs confer risk (OR>1.56) and are in strong linkage disequilibrium with each other (r(2)>0.9) but not with any other genotyped SNP ±200kb. The analysis of the Norwegian GWAS is underway. CONCLUSION The Australian GWAS has identified a novel preeclampsia risk locus on chromosome 2q. The INHBB gene closest to our SNP associations is a plausible positional candidate susceptibility gene. There is a substantive body of evidence implicating inhibins, activins and other members of the TGF-βsuperfamily to have a role in the development of preeclampsia. The biological connection between ACVR2A and INHBB leads us to speculate that our linkage-based and GWA-based study designs, respectively, have identified a key biological pathway involved in susceptibility to preeclampsia.
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Affiliation(s)
- M Johnson
- Texas Biomedical Research Institute, San Antonio, United States
| | - S Brennecke
- University of Melbourne, Melbourne, Australia
| | - A-C Iversen
- Norwegian University of Science & Technology, Trondheim, Norway
| | - C East
- University of Melbourne, Melbourne, Australia
| | - G Olsen
- Norwegian University of Science & Technology, Trondheim, Norway
| | - J Kent
- Texas Biomedical Research Institute, San Antonio, United States
| | - T Dyer
- Texas Biomedical Research Institute, San Antonio, United States
| | - J Said
- University of Melbourne, Melbourne, Australia
| | - L Roten
- Norwegian University of Science & Technology, Trondheim, Norway
| | - L Abraham
- University of Western Australia, Perth, Australia
| | - J-A Zwart
- Oslo University Hospital, Oslo, Norway
| | | | - A Håberg
- Norwegian University of Science & Technology, Trondheim, Norway
| | - M Huentelman
- Translational Genomics Research Institute, Phoenix, United States
| | - H Krokan
- Norwegian University of Science & Technology, Trondheim, Norway
| | - M Gabrielsen
- Norwegian University of Science & Technology, Trondheim, Norway
| | - R Austgulen
- Norwegian University of Science & Technology, Trondheim, Norway
| | - J Blangero
- Texas Biomedical Research Institute, San Antonio, United States
| | - E Moses
- University of Western Australia, Perth, Australia
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Alvestad S, Hammer J, Qu H, Håberg A, Ottersen OP, Sonnewald U. Reduced astrocytic contribution to the turnover of glutamate, glutamine, and GABA characterizes the latent phase in the kainate model of temporal lobe epilepsy. J Cereb Blood Flow Metab 2011; 31:1675-86. [PMID: 21522161 PMCID: PMC3170943 DOI: 10.1038/jcbfm.2011.36] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The occurrence of spontaneous seizures in mesial temporal lobe epilepsy (MTLE) is preceded by a latent phase that provides a time window for identifying and treating patients at risk. However, a reliable biomarker of epileptogenesis has not been established and the underlying processes remain unclear. Growing evidence suggests that astrocytes contribute to an imbalance between excitation and inhibition in epilepsy. Here, astrocytic and neuronal neurotransmitter metabolism was analyzed in the latent phase of the kainate model of MTLE in an attempt to identify epileptogenic processes and potential biomarkers. Fourteen days after status epilepticus, [1-(13)C]glucose and [1,2-(13)C]acetate were injected and the hippocampal formation, entorhinal/piriform cortex, and neocortex were analyzed by (1)H and (13)C magnetic resonance spectroscopy. The (13)C enrichment in glutamate, glutamine, and γ-aminobutyric acid (GABA) from [1-(13)C]glucose was decreased in all areas. Decreased GABA content was specific for the hippocampal formation, together with a pronounced decrease in astrocyte-derived [1,2-(13)C]GABA and a decreased transfer of glutamine for the synthesis of GABA. Accumulation of branched-chain amino acids combined with decreased [4,5-(13)C]glutamate in hippocampal formation could signify decreased transamination via branched-chain aminotransferase in astrocytes. The results point to astrocytes as major players in the epileptogenic process, and (13)C enrichment of glutamate and GABA as potential biomarkers.
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Affiliation(s)
- Silje Alvestad
- Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
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Løhaugen GCC, Antonsen I, Håberg A, Gramstad A, Vik T, Brubakk AM, Skranes J. Computerized working memory training improves function in adolescents born at extremely low birth weight. J Pediatr 2011; 158:555-561.e4. [PMID: 21130467 DOI: 10.1016/j.jpeds.2010.09.060] [Citation(s) in RCA: 87] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2010] [Revised: 08/17/2010] [Accepted: 09/17/2010] [Indexed: 10/18/2022]
Abstract
OBJECTIVE To evaluate the effect of a computerized working memory training program on both trained and non-trained verbal aspects of working memory and executive and memory functions in extremely low birth weight (ELBW; <1000 g) infants. STUDY DESIGN Sixteen ELBW infants and 19 term-born control subjects aged 14 to 15 years participated in the training program, and 11 adolescents were included as a non-intervention group. Extensive neuropsychological assessment was performed before and immediately after training and at a 6-month follow-up examination. Both training groups used the CogMed RM program at home 5 days a week for 5 weeks. RESULTS Both groups improved significantly on trained and non-trained working memory tasks and on other memory tests indicating a generalizing effect. Working memory capacity was improved, and effects were maintained at the 6-month follow-up examination. There was no significant improvement in the non-intervention group at the 6-week follow-up examination. CONCLUSIONS The computerized training program Cogmed RM was an effective intervention tool for improving memory and reducing core learning deficits in adolescents born at ELBW.
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Affiliation(s)
- Gro C C Løhaugen
- Department of Pediatrics and Rehabilitation, Sørlandet Hospital, Arendal, Norway.
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Müller TB, Sandvei MS, Kvistad KA, Rydland J, Vik A, Gårseth M, Håberg A, Stovner LJ. Unruptured Intracranial Aneurysms in the Norwegian HUNT Study. Neurosurgery 2010. [DOI: 10.1227/01.neu.0000386990.36013.23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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Abstract
UNLABELLED Mortensen JA, Rasmussen IA, Håberg A. Trait impulsivity in female patients with borderline personality disorder and matched controls. OBJECTIVE Impulsivity has been shown to load on two separate factors, rash impulsivity and sensitivity to reward (SR) in several factor analytic studies. The aims of the current study were to explore the nature of impulsivity in women with borderline personality disorder (BPD) and matched controls, and the underlying neuronal correlates for rash impulsivity and SR. METHODS Fifteen females diagnosed with BPD and 15 matched controls were recruited. All completed the impulsiveness-venturesomeness scale (I7), the sensitivity to punishment (SP) - sensitivity to reward (SR) questionnaire, and performed a Go-NoGo block-design functional magnetic resonance imaging (fMRI) paradigm at 3T. Correlation analyses were done with I7, SP and SR scores with the level of activation in different brain areas in the whole group. An independent group t-test was used to explore any differences between the BPD group and the matched controls. RESULTS I7 scores correlated negatively with activity in the left orbitofrontal cortex, amygdala and precuneus, and bilaterally in the cingulate cortices during response inhibition for the entire sample. SP yielded negative correlations in the right superior frontal gyrus and parahippocampal gyrus. No activity related to response inhibition correlated to SR. The Go-NoGo task gave similar brain activity in BPD and matched controls, but behaviourally the BPD group had significantly more commission errors in the NoGo blocks. The BPD group had increased I7 and SP scores indicating rash impulsiveness combined with heightened SP. CONCLUSION These results imply that successful impulse inhibition involves interaction between the impulsive and the emotional systems. Furthermore, impulsivity in BPD is described as rash impulsivity, coexisting with increased SP.
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Affiliation(s)
| | | | - Asta Håberg
- 1Department of Medical Imaging, St. Olav's Hospital, Trondheim, Norway
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Lohaugen GC, Eikenes L, Vangberg T, Martinussen M, Håberg A, Brubakk AM, Skranes J. Quantitative MRI Findings and Neuropsychological Function in Very Low Birth Weight (VLBW) Adolescents with Cerebral Palsy at 15 and 19 Years of Age. Neuroimage 2009. [DOI: 10.1016/s1053-8119(09)72110-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Gulati S, Berntsen EM, Solheim O, Kvistad KA, Håberg A, Selbekk T, Torp SH, Unsgaard G. Surgical resection of high-grade gliomas in eloquent regions guided by blood oxygenation level dependent functional magnetic resonance imaging, diffusion tensor tractography, and intraoperative navigated 3D ultrasound. ACTA ACUST UNITED AC 2009; 52:17-24. [PMID: 19247900 DOI: 10.1055/s-0028-1104566] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVE The aims of this study of patients with high-grade gliomas in eloquent brain areas were 1) to assess the postoperative functional outcome, 2) to determine the extent of tumour resection in these difficult locations, 3) to evaluate the practical usefulness of navigated blood oxygenation level-dependent functional magnetic resonance imaging and diffusion tensor tractography. PATIENTS AND METHODS 25 consecutive patients were included in the study. The patients' gross functional neurological status was determined using the 7-step modified Rankin scale. The extent of tumour resection was determined using pre- and postoperative T(1)-weighted or T(1)-weighted, contrast-enhanced MRI images. RESULTS The average preoperative modified Rankin scale was 1.56+/-0.77, whereas the average postoperative modified Rankin scale was 1.08+/-1.29. There was a significant improvement in mean modified Rankin scale score after surgery. The mean percentage of residual tumour was calculated to 16+/-22% of the original tumour volume (median 8%). Blood oxygenation level-dependent functional magnetic resonance imaging and diffusion tensor tractography were performed in 23 and 18 patients, respectively. Blood oxygenation level-dependent functional magnetic resonance imaging and diffusion tensor tractography facilitated identification of probable functional regions in 91% and 94% of the respective investigations. CONCLUSION We feel that the combination of blood oxygenation level-dependent functional magnetic resonance imaging, diffusion tensor tractography, and 3D ultrasound facilitated maximal tumour resection with minimal deficits. The method permits an image-based functional monitoring of the brain during surgery that may aid the preservation of motor and language function.
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Affiliation(s)
- S Gulati
- Department of Neurosurgery, St. Olavs Hospital, Trondheim, Norway.
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Rasmussen IA, Xu J, Antonsen IK, Brunner J, Skandsen T, Axelson DE, Berntsen EM, Lydersen S, Håberg A. Simple dual tasking recruits prefrontal cortices in chronic severe traumatic brain injury patients, but not in controls. J Neurotrauma 2008; 25:1057-70. [PMID: 18729718 DOI: 10.1089/neu.2008.0520] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The ability to carry out two tasks simultaneously, dual tasking, is specifically impaired after traumatic brain injury (TBI). The aim of the present study was to investigate the neuronal correlates to this increased dual cost in chronic severe TBI patients (n = 10) compared to healthy controls (n = 11) using functional magnetic resonance imaging (fMRI) at 3 Tesla (T). The tasks were a visual search and a simple two-fingers button press motor task. Performance data demonstrated similar and significant dual task interference in both TBI patients and controls using a linear mixed model. However, principal component analysis showed that TBI patients and controls could be classified into different categories based on motor activity in the single compared to the dual task condition, thus reflecting the increased variability in the performance in the TBI group. Random effects between-group analysis demonstrated significantly reduced activation in the TBI group in both single task conditions in the occipital and posterior cingulate cortices, and for the visual task also in the thalami. This pattern was reversed in the dual task condition with significantly increased activation of a predominantly left lateralized prefrontal-anterior midline-parietal network in the TBI group compared to the controls. The increase in activation occurred within regions described to be engaged in healthy volunteers as dual task cost increases. This finding points to substitution, functional reorganization within the primary network subserving the task, following TBI, and demonstrates more effortful processing. Recruitment of these additional prefrontal resources may be connected to serial rather than parallel processing in low level dual tasking in TBI. Thus, in severe TBI, low level dual task performance depends on increased attentional and executive guidance.
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Affiliation(s)
- Inge-André Rasmussen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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Askim T, Indredavik B, Vangberg T, Håberg A. Motor network changes associated with successful motor skill relearning after acute ischemic stroke: a longitudinal functional magnetic resonance imaging study. Neurorehabil Neural Repair 2008; 23:295-304. [PMID: 18984831 DOI: 10.1177/1545968308322840] [Citation(s) in RCA: 80] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND . Motor learning mechanisms may be operative in stroke recovery and possibly reinforced by rehabilitative training. OBJECTIVES . To assess early motor network changes after acute ischemic stroke in patients treated with very early mobilization and task-oriented physical therapy in a comprehensive stroke unit, to investigate the association between neuronal activity and improvements in hand function, and to qualitatively explore the changes in neuronal activity in relation to motor learning. METHODS . Patients were assessed by functional magnetic resonance imaging and by clinical tests within the first week after stroke and 3 months later. After discharge, all participants were offered functional training of the affected arm according to individual needs. RESULTS . A total of 359 patients were screened, with 12 patients experiencing first-ever stroke, excluding primary sensorimotor cortex (MISI), with severe to moderately impaired hand function fulfilling the inclusion criteria. Laterality indexes (LIs) for MISI increase significantly during follow-up. There is increased cerebellar and striatal activation acutely, replaced by increased activation of ipsilesional MISI in the chronic phase. Bilateral somatosensory association areas and contralesional secondary somatosensory cortex (SII) area are also more active in the chronic phase. Activation of the latter region also correlates positively with improved hand function. CONCLUSIONS . Restoration of hand function is associated with highly lateralized MISI. Activity in bilateral somatosensory association area and contralesional SII may represent cortical plasticity involved in successful motor recovery. The changes in motor activity between acute and chronic phases seem to correspond to a motor learning process.
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Affiliation(s)
- Torunn Askim
- Department of Public Health and General Practice, Norway
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Alvestad S, Goa PE, Qu H, Risa Ø, Brekken C, Sonnewald U, Haraldseth O, Hammer J, Ottersen OP, Håberg A. In vivo mapping of temporospatial changes in manganese enhancement in rat brain during epileptogenesis. Neuroimage 2007; 38:57-66. [PMID: 17822925 DOI: 10.1016/j.neuroimage.2007.07.027] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2007] [Revised: 05/31/2007] [Accepted: 07/20/2007] [Indexed: 10/23/2022] Open
Abstract
Mesial temporal lobe epilepsy is associated with structural and functional abnormalities, such as hippocampal sclerosis and axonal reorganization. The temporal evolution of these changes remains to be determined, and there is a need for in vivo imaging techniques that can uncover the epileptogenic processes at an early stage. Manganese-enhanced magnetic resonance imaging may be useful in this regard. The aim of this study was to analyze the temporospatial changes in manganese enhancement in rat brain during the development of epilepsy subsequent to systemic kainate application (10 mg/kg i.p.). MnCl(2) was given systemically on day 2 (early), day 15 (latent), and 11 weeks (chronic phase) after the initial status epilepticus. Twenty-four hours after MnCl(2) injection T1-weighted 3D MRI was performed followed by analysis of manganese enhancement. In the medial temporal lobes, there was a pronounced decrease in manganese enhancement in CA1, CA3, dentate gyrus, entorhinal cortex and lateral amygdala in the early phase. In the latent and chronic phases, recovery of the manganese enhancement was observed in all these structures except CA1. A significant increase in manganese enhancement was detected in the entorhinal cortex and the amygdala in the chronic phase. In the latter phase, the structurally intact cerebellum showed significantly decreased manganese enhancement. The highly differentiated changes in manganese enhancement are likely to represent the net outcome of a number of pathological and pathophysiological events, including cell loss and changes in neuronal activity. Our findings are not consistent with the idea that manganese enhancement primarily reflects changes in glial cells.
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Affiliation(s)
- Silje Alvestad
- Department of Neuroscience, Norwegian University of Science and Technology (NTNU), N-7489 Trondheim, Norway
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Xu J, Rasmussen IA, Lagopoulos J, Håberg A. Diffuse axonal injury in severe traumatic brain injury visualized using high-resolution diffusion tensor imaging. J Neurotrauma 2007; 24:753-65. [PMID: 17518531 DOI: 10.1089/neu.2006.0208] [Citation(s) in RCA: 128] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Traumatic brain injury (TBI) is the most common cause of death and disability in young people. The functional outcome in patients with TBI cannot be explained by focal pathology alone, and diffuse axonal injury (DAI) is considered a major contributor to the neurocognitive deficits experienced by this group. The aim of the present study was to investigate whether diffusion tensor imaging (DTI) offers additional information as to the extent of damage not visualized with standard magnetic resonance imaging (MRI) in patients with severe TBI. Nine chronic male TBI patients and 11 matched healthy controls were recruited. Results of the voxel-based analysis of fractional anisotropy (FA) maps and apparent diffusion coefficient (ADC) maps revealed significant differences in anisotropy in major white matter tracts, including the corpus callosum (CC), internal and external capsule, superior and inferior longitudinal fascicles, and the fornix in the TBI group. The FA and ADC measurements offered superior sensitivity compared to conventional MRI diagnosis of DAI. Region-of-interest (ROI) analyses confirmed these results in the investigated regions. The findings of this study support the hypothesis that severe TBI is accompanied by DAI. The DTI changes were more prominent on the right side that contained the focal pathology in most of the patients and accurately reflected differences in both hemispheres. In conclusion, DTI holds great promise as a diagnostic tool to identify and quantify the degree of white matter injury in TBI patients.
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Affiliation(s)
- Jian Xu
- Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
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Rasmussen IA, Lindseth F, Rygh OM, Berntsen EM, Selbekk T, Xu J, Nagelhus Hernes TA, Harg E, Håberg A, Unsgaard G. Functional neuronavigation combined with intra-operative 3D ultrasound: initial experiences during surgical resections close to eloquent brain areas and future directions in automatic brain shift compensation of preoperative data. Acta Neurochir (Wien) 2007; 149:365-78. [PMID: 17308976 DOI: 10.1007/s00701-006-1110-0] [Citation(s) in RCA: 118] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2006] [Accepted: 12/13/2006] [Indexed: 11/29/2022]
Abstract
OBJECTIVE The aims of this study were: 1) To develop protocols for, integration and assessment of the usefulness of high quality fMRI (functional magnetic resonance imaging) and DTI (diffusion tensor imaging) data in an ultrasound-based neuronavigation system. 2) To develop and demonstrate a co-registration method for automatic brain-shift correction of pre-operative MR data using intra-operative 3D ultrasound. METHODS Twelve patients undergoing brain surgery were scanned to obtain structural and fMRI data before the operation. In six of these patients, DTI data was also obtained. The preoperative data was imported into a commercial ultrasound-based navigation system and used for surgical planning and guidance. Intra-operative ultrasound volumes were acquired when needed during surgery and the multimodal data was used for guidance and resection control. The use of the available image information during planning and surgery was recorded. An automatic voxel-based registration method between preoperative MRA and intra-operative 3D ultrasound angiography (Power Doppler) was developed and tested postoperatively. RESULTS The study showed that it is possible to implement robust, high-quality protocols for fMRI and DTI and that the acquired data could be seamlessly integrated in an ultrasound-based neuronavigation system. Navigation based on fMRI data was found to be important for pre-operative planning in all twelve procedures. In five out of eleven cases the data was also found useful during the resection. DTI data was found to be useful for planning in all five cases where these data were imported into the navigation system. In two out of four cases DTI data was also considered important during the resection (in one case DTI data were acquired but not imported and in another case fMRI and DTI data could only be used for planning). Information regarding the location of important functional areas (fMRI) was more beneficial during the planning phase while DTI data was more helpful during the resection. Furthermore, the surgeon found it more user-friendly and efficient to interpret fMRI and DTI information when shown in a navigation system as compared to the traditional display on a light board or monitor. Updating MRI data for brain-shift using automatic co-registration of preoperative MRI with intra-operative ultrasound was feasible. CONCLUSION In the present study we have demonstrated how both fMRI and DTI data can be acquired and integrated into a neuronavigation system for improved surgical planning and guidance. The surgeons reported that the integration of fMRI and DTI data in the navigation system represented valuable additional information presented in a user-friendly way and functional neuronavigation is now in routine use at our hospital. Furthermore, the present study showed that automatic ultrasound-based updates of important pre-operative MRI data are feasible and hence can be used to compensate for brain shift.
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Affiliation(s)
- I-A Rasmussen
- Norwegian University of Science and Technology, Trondheim, Norway
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Håberg A, Qu H, Hjelstuen MH, Sonnewald U. Effect of the pyrrolopyrimidine lipid peroxidation inhibitor U-101033E on neuronal and astrocytic metabolism and infarct volume in rats with transient middle cerebral artery occlusion. Neurochem Int 2007; 50:932-40. [PMID: 17241701 DOI: 10.1016/j.neuint.2006.12.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2006] [Revised: 11/30/2006] [Accepted: 12/06/2006] [Indexed: 10/23/2022]
Abstract
The aim of the present study was to assess the effect of post ictal administration of the pyrrolopyrimidine lipid peroxidation inhibitor, U-101033E, on infarct volume and neuronal and astrocytic metabolism in rats with transient middle cerebral artery occlusion (MCAO). Rats were subjected to 120 min of MCAO followed by 140 min of reperfusion and randomly assigned to control (n=17) or U-101033E treatment (n=16). Drug infusion started 5 min after MCAO and lasted 220 min with a 15 min interruption during the reperfusion procedure. Sixteen rats underwent diffusion weighted imaging 260 min after ictus, from which the apparent diffusion coefficient (ADC) was determined. Seventeen rats received an iv bolus injection of [1-13C]glucose and [1,2-13C]acetate 245 min after ictus. Tissue extracts from two brain regions representing penumbra and ischemic core were analyzed with 13C NMRS and HPLC. U-101033E did not affect the volume of ischemic tissue estimated from the ADC maps. In the penumbra, U-101033E specifically decreased mitochondrial pyruvate metabolism via both pyruvate dehydrogenase and pyruvate carboxylase pathways. Thus, U-101033E impaired both neuronal and astrocytic mitochondrial pyruvate metabolism. At the same time anaerobic glucose usage was increased, leading to increased lactate labeling and content. Also alanine labeling was increased. The data do not support lactate as an important substrate for neuronal mitochondria in ischemia-reperfusion. A similar pattern of reduced mitochondrial pyruvate metabolism and increased cytosolic pyruvate metabolism was found in the irreversibly damaged ischemic core. The present study highlights the importance of other outcome measures than ischemic tissue volume for evaluation of drug efficacy in animal models, which in turn could increase the likelihood of success in clinical trials.
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Affiliation(s)
- A Håberg
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, NTNU, Trondheim, Norway.
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Håberg A, Qu H, Sonnewald U. Glutamate and GABA metabolism in transient and permanent middle cerebral artery occlusion in rat: Importance of astrocytes for neuronal survival. Neurochem Int 2006; 48:531-40. [PMID: 16504342 DOI: 10.1016/j.neuint.2005.12.025] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2005] [Revised: 12/20/2005] [Accepted: 12/22/2005] [Indexed: 10/25/2022]
Abstract
The aim of the present study was to identify the distinguishing metabolic characteristics of brain tissue salvaged by reperfusion following focal cerebral ischemia. Rats were subjected to 120 min of middle cerebral artery occlusion followed by 120 min of reperfusion. The rats received an intravenous bolus injection of [1-(13)C]glucose plus [1,2-(13)C]acetate. Subsequently two brain regions considered to represent penumbra and ischemic core, i.e. the frontoparietal cortex and the lateral caudoputamen plus lower parietal cortex, respectively, were analyzed with (13)C NMRS and HPLC. The results demonstrated four metabolic events that distinguished the reperfused penumbra from the ischemic core. (1) Improved astrocytic metabolism demonstrated by increased amounts of [4,5-(13)C]glutamine and improved acetate oxidation. (2) Neuronal mitochondrial activity was better preserved although the flux of glucose via pyruvate dehydrogenase into the tricarboxylic acid (TCA) cycle in glutamatergic and GABAergic neurons was halved. However, NAA content was at control level. (3) Glutamatergic and GABAergic neurons used relatively more astrocytic metabolites derived from the pyruvate carboxylase pathway. (4) Lactate synthesis was not increased despite decreased glucose metabolism in the TCA cycle via pyruvate dehydrogenase. In the ischemic core both neuronal and astrocytic TCA cycle activity declined significantly despite reperfusion. The utilization of astrocytic precursors originating from the pyruvate carboxylase pathway was markedly reduced compared the pyruvate dehydrogenase pathway in glutamate, and completely stopped in GABA. The NAA level fell significantly and lactate accumulated. The results demonstrate that preservation of astrocytic metabolism is essential for neuronal survival and a predictor for recovery.
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Affiliation(s)
- A Håberg
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, NTNU, Trondheim, Norway.
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Abstract
Paradoxically, glutamate receptor antagonists have neurotoxic and psychotogenic properties in addition to their neuroprotective potential during excessive glutamate release. In the present study the non-competitive N-methyl-D-aspartate (NMDA) receptor antagonist MK801 was used to examine glial-neuronal interactions in NMDA receptor hypofunction. Rats were given a subanesthetic dose of MK801 together with [1-13C]glucose and [1,2-13C]acetate, and brains were removed 20 min later. Analyses of extracts from cingulate, retrosplenial plus middle frontal cortices (CRFC) and temporal lobe were performed using HPLC and 13C and 1H nuclear magnetic resonance spectroscopy. Hypofunction of the NMDA receptor induced similar changes in both brain areas investigated; however, the changes were most pronounced in the temporal lobe. Generally, only labeling from [1-13C]glucose was affected by MK801. In CRFC and temporal lobe amounts of both labeled and unlabeled glutamine were increased, whereas those of aspartate were decreased. In the CRFC the decrease in labeling of aspartate was greater than the decrease in concentration, leading to decreased 13C enrichment. In temporal lobe, not in CRFC, increased concentrations of glutamate, GABA, succinate, glutathione and inositol were detected together with increased labeling of GABA and succinate from [1-13C]glucose. 13C Enrichment was decreased in glutamate and increased in succinate. The results point towards a disturbance in glutamate-glutamine cycling and thus interaction between neurons and glia, since labeling of glutamate and glutamine from glucose was affected differently.
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Affiliation(s)
- Eiliv Brenner
- Department of Neuroscience, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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Håberg A, Kvistad KA, Unsgård G, Haraldseth O. Preoperative blood oxygen level-dependent functional magnetic resonance imaging in patients with primary brain tumors: clinical application and outcome. Neurosurgery 2004; 54:902-14; discussion 914-5. [PMID: 15046657 DOI: 10.1227/01.neu.0000114510.05922.f8] [Citation(s) in RCA: 148] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2003] [Accepted: 12/09/2003] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE This study sought to evaluate the ability of blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) to successfully identify functional cortical areas in patients with primary brain tumors, to evaluate the use of the fMRI results in presurgical planning, and to assess the functional outcome of the patients with respect to the functional maps obtained with fMRI. METHODS The study included 25 consecutive preoperative fMRI sessions in patients with primary brain tumors in or near sensorimotor and/or language cortices. All fMRI paradigms were analyzed and rated according to the degree of success. Several distances between tumor and functional cortex as delineated with BOLD fMRI were measured to assess the topographic relationship between these two structures. Pre- and postoperative neurological statuses were obtained from the patients' journals. RESULTS Acquisition of BOLD fMRI images was successful in 80% of the cases. The primary cause of unsuccessful fMRI was echo-planar imaging signal voids that were the result of previous craniotomy; the secondary cause was excessive motion. The neurosurgeons used the fMRI results for preoperative planning in 75% of the cases in which fMRI was successful. The risk of postoperative loss of function tested with fMRI was significantly lower when the distance between tumor periphery and BOLD activity was 10 mm or more. CONCLUSION The majority of patients with primary brain tumors were capable of satisfactorily performing the fMRI paradigms, and the information obtained was used in the preoperative planning. A distance of 10 mm or more between the functional cortex, as delineated with fMRI, and the tumor significantly reduced the risk of postoperative loss of function.
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Affiliation(s)
- Asta Håberg
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
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Håberg A, Qu H, Saether O, Unsgård G, Haraldseth O, Sonnewald U. Differences in neurotransmitter synthesis and intermediary metabolism between glutamatergic and GABAergic neurons during 4 hours of middle cerebral artery occlusion in the rat: the role of astrocytes in neuronal survival. J Cereb Blood Flow Metab 2001; 21:1451-63. [PMID: 11740207 DOI: 10.1097/00004647-200112000-00010] [Citation(s) in RCA: 63] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Astrocytes are intimately involved in both glutamate and gamma-aminobutyric acid (GABA) synthesis, and ischemia-induced disruption of normal neuroastrocytic interactions may have important implications for neuronal survival. The effects of middle cerebral artery occlusion (MCAO) on neuronal and astrocytic intermediary metabolism were studied in rats 30, 60, 120, and 240 minutes after MCAO using in vivo injection of [1-13C]glucose and [1,2- 13C]acetate combined with ex vivo 13C magnetic resonance spectroscopy and high-performance liquid chromatography analysis of the ischemic core (lateral caudoputamen and lower parietal cortex) and penumbra (upper frontoparietal cortex). In the ischemic core, both neuronal and astrocytic metabolism were impaired from 30 minutes MCAO. There was a continuous loss of glutamate from glutamatergic neurons that was not replaced as neuronal glucose metabolism and use of astrocytic precursors gradually declined. In GABAergic neurons astrocytic precursors were not used in GABA synthesis at any time after MCAO, and neuronal glucose metabolism and GABA-shunt activity declined with time. No flux through the tricarboxylic acid cycle was found in GABAergic neurons at 240 minutes MCAO, indicating neuronal death. In the penumbra, the neurotransmitter pool of glutamate coming from astrocytic glutamine was preserved while neuronal metabolism progressively declined, implying that glutamine contributed significantly to glutamate excitotoxicity. In GABAergic neurons, astrocytic precursors were used to a limited extent during the initial 120 minutes, and tricarboxylic acid cycle activity was continued for 240 minutes. The present study showed the paradoxical role that astrocytes play in neuronal survival in ischemia, and changes in the use of astrocytic precursors appeared to contribute significantly to neuronal death, albeit through different mechanisms in glutamatergic and GABAergic neurons.
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Affiliation(s)
- A Håberg
- Departments of Clinical Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
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Hammer J, Qu H, Håberg A, Sonnewald U. In vivo effects of adenosine A(2) receptor agonist and antagonist on neuronal and astrocytic intermediary metabolism studied with ex vivo (13)C MR spectroscopy. J Neurochem 2001; 79:885-92. [PMID: 11723181 DOI: 10.1046/j.1471-4159.2001.00622.x] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
The effect of adenosine A(2) receptor agonist 2-[p-(2-carboxyethyl)phenylethylamino]-5'-ethylcarboxamidoadenosine (CGS 21680) and antagonist 3,7-dimethyl-1-propargylxanthine (DMPX) on [1-(13)C]glucose and [1,2-(13)C]acetate metabolism was studied in rats by (13)C magnetic resonance (MR) spectroscopy and HPLC. In the cortex a significant reduction was observed in the amounts of [2-(13)C]GABA and [3-(13)C]aspartate from [1-(13)C]glucose in CGS 21680. In the subcortex the concentration of labelled [4-(13)C]glutamate was increased in both treatment groups. The amounts of [2 + 3-(13)C]succinate and [3-(13)C]lactate were increased in the CGS 21680 group compared to control, and the DMPX group showed an increase in the total amount of [6-(13)C]N-acetyl aspartate compared to control in the subcortex. Astrocyte metabolism was only affected in the cortex as shown by a decrease in the pyruvate carboxylase/pyruvate dehydrogenase ratio in glutamate and glutamine in the treatment groups. Labelling from [1,2-(13)C]acetate was not much affected by CGS 21680 or DMPX. However, the amount of [1,2-(13)C]acetate in cortex and subcortex was reduced in the DMPX group. In the cortex a reduction in the labelling of [3-(13)C]GABA in the DMPX group compared to control and an increase in the total amount of taurine in both treatment groups was detected. The present study shows that A(2) receptor agonist and antagonist have similar effects; however, in cortex GABAergic neurones and astrocytes were affected in contrast to subcortex, where glutamatergic neurones showed the greatest changes.
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Affiliation(s)
- J Hammer
- Department of Clinical Neuroscience, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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Abstract
In order to address the question whether lactate in blood can serve as a precursor for cerebral metabolites, fully awake rats were injected intravenously with [U-(13)C]lactate or [U-(13)C]glucose followed 15 min later by decapitation. Incorporation of label from [U-(13)C]glucose was seen mainly in glutamate, GABA, glutamine, aspartate, alanine and lactate. More label was found in glutamate than glutamine, underscoring the predominantly neuronal metabolism of pyruvate from [U-(13)C]glucose. It was estimated that the neuronal metabolism of acetyl CoA from glucose accounts for at least 66% and the glial for no more than 34% of the total glucose consumption. When [U-(13)C]lactate was the precursor, label incorporation was similar to that observed from [U-(13)C]glucose, but much reduced. Plasma analysis revealed the presence of approximately equal amounts of [1,2,3-(13)C]- and [1,2-(13)C]glucose, showing gluconeogenesis from [U-(13)C]lactate. It was thus possible that the labeling seen in the cerebral amino acids originated from labeled glucose, not [U-(13)C]lactate. However, the presence of significantly more label in [U-(13)C]- than in [2,3-(13)C]alanine demonstrated that [U-(13)C]lactate did indeed cross the blood-brain barrier, and was metabolized further in the brain. Furthermore, contributions from pyruvate carboxylase (glial enzyme) were detectable in glutamine, glutamate and GABA, and were comparatively more pronounced in the glucose group. This indicated that relatively more pyruvate from lactate than glucose was metabolized in neurons. Surprisingly, the same amount of lactate was synthesized via the tricarboxylic acid cycle in both groups, indicating transfer of neurotransmitters from the neuronal to the astrocytic compartment, as previous studies have shown that this lactate is synthesized primarily in astrocytes. Taking into consideration that astrocytes take up glutamate more avidly than GABA, it is conceivable that neuronal lactate metabolism was more prominent in glutamatergic neurons.
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Affiliation(s)
- H Qu
- Department of Pharmacology and Toxicology, Norwegian University of Science and Technology, Trondheim, Norway
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Håberg A, Qu H, Bakken IJ, Sande LM, White LR, Haraldseth O, Unsgård G, Aasly J, Sonnewald U. In vitro and ex vivo 13C-NMR spectroscopy studies of pyruvate recycling in brain. Dev Neurosci 2000; 20:389-98. [PMID: 9778576 DOI: 10.1159/000017335] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Pyruvate recycling is a well established pathway in the liver, but in the brain, the cellular localization of pyruvate recycling remains controversial and its physiological significance is unknown. In cultured cortical astrocytes, pyruvate formed from [U-13C]glutamate was shown to re-enter the TCA cycle after conversion to acetyl-CoA, as demonstrated by the labelling patterns in aspartate C-2 and C-3, lactate C-2, and glutamate C-4, which provides evidence for pyruvate recycling in astrocytes. This finding is in agreement with previous studies of astrocytic cultures, in which pyruvate recycling has been described from [U-13C]glutamine, in the presence of glutamate, and from [U-13C]aspartate. Pyruvate recycling in brain was studied in fasted rats receiving either an intraperitoneal or a subcutaneous injection of [1,2-13C]acetate followed by decapitation 30 min later. Extracts of cortical tissue were analysed with 13C-NMR spectroscopy and total amounts of amino acids quantified by HPLC. Plasma extracts were analysed with 1H- and 13C-NMR spectroscopy, and showed a significantly larger amount of [1, 2-13C]acetate in the intraperitoneal group compared to the subcutaneous group. Furthermore, a small amount of label was detected in glucose in both groups. In the subcutaneously injected rats, [4-13C]glutamate and [2-13C]GABA were less enriched than plasma glucose, which might have been the precursor. In the intraperitoneally injected rats, however, pyruvate formation from [1, 2-13C]acetate, and re-entry of this pyruvate into the TCA cycle was demonstrated by the presence of greater 13C enrichment in [4-13C]glutamate and [4-13C]glutamine compared to the subcutaneous group, probably resulting from the significantly higher [1, 2-13C]acetate concentration in brain and plasma.
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Affiliation(s)
- A Håberg
- Department of Pharmacology and Toxicology, Medical Faculty, Norwegian University of Science and Technology, Trondheim, Norway
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Håberg A, Qu H, Haraldseth O, Unsgård G, Sonnewald U. In vivo effects of adenosine A1 receptor agonist and antagonist on neuronal and astrocytic intermediary metabolism studied with ex vivo 13C NMR spectroscopy. J Neurochem 2000; 74:327-33. [PMID: 10617136 DOI: 10.1046/j.1471-4159.2000.0740327.x] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Adenosine is a neuromodulator, and it has been suggested that cerebral acetate metabolism induces adenosine formation. In the present study the effects that acetate has on cerebral intermediary metabolism, compared with those of glucose, were studied using the adenosine A1 receptor agonist 2-chloro-N6-cyclopentyladenosine (CCPA) and antagonist 8-cyclopentyl-1,3-dipropylxanthine (DPCPX). Fasted rats received an intravenous injection of CCPA, DPCPX, or vehicle. Fifteen minutes later either [1,2-13C]acetate or [1-13C]glucose was given intraperitoneally; after another 30 min the rats were decapitated. Cortical extracts were analyzed with 13C NMR spectroscopy and HPLC analysis. DPCPX affected neuronal and astrocytic metabolism. De novo synthesis of GABA from neuronal and astrocytic precursors was significantly reduced. De novo syntheses of glutamate and aspartate were at control levels, but their degradation was significantly elevated. In glutamine the anaplerotic activity and the amount of label in the position representing the second turn in the tricarboxylic acid cycle were significantly increased, suggesting elevated metabolic activity in astrocytes. CCPA did not influence GABA, aspartate, or glutamine synthesis. In glutamate the contribution from the astrocytic anaplerotic pathway was significantly decreased. In the present study the findings in the [1,2-13C]acetate and [1-13C]glucose control, CCPA, and DPCPX groups were complementary, and no adenosine A1 agonist effects arising from cerebral acetate metabolism were detected.
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Affiliation(s)
- A Håberg
- Department of Anesthesia and Medical Imaging, Trondheim University Hospital, Norway
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Håberg A, Takahashi M, Yamaguchi T, Hjelstuen M, Haraldseth O. Neuroprotective effect of the novel glutamate AMPA receptor antagonist YM872 assessed with in vivo MR imaging of rat MCA occlusion. Brain Res 1998; 811:63-70. [PMID: 9804894 DOI: 10.1016/s0006-8993(98)00957-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The neuroprotective effect of post-ischemic treatment with the novel, highly water-soluble, glutamate AMPA receptor antagonist YM872 was evaluated by using MR imaging and histopathology of rats subjected to permanent MCA occlusion. Two treatment groups with continuous i.v. infusion of 20 mg kg-1 h-1 YM872 during either the first 4 h or first 24 h after MCA occlusion, called 4 h YM872 treatment group (n=9) and 24 h YM872 treatment group (n=8) respectively, were compared to a control group (n=8). The main end-point was T2 weighted MR imaging and histopathology 24 h after MCA occlusion. Also the time evolution of the ischemic tissue damage was studied by diffusion weighted MR imaging 412 and 24 h after MCA occlusion. The volume of ischemic tissue damage as assessed by diffusion weighted MR imaging 412 h after MCA occlusion was significantly smaller in both YM872 treatment groups (99+/-52 mm3 and 102+/-44 mm3 compared to 186+/-72 mm3 in the control group, +/-S.D. and p=0.008). The infarct volume as assessed by T2 weighted MR imaging 24 h after MCA occlusion was significantly smaller only in the 24 h YM872 treatment group (262+/-57 mm3 compared to 366+/-49 mm3 in the control group, +/-S.D. and p=0.01) while the infarct volume in the 4 h YM872 treatment group (357+/-88 mm3) was similar to the control group. YM872 treatment significantly reduced the infarct volume 24 h after MCA occlusion when the drug was administered as continuous infusion during the 24-h observation period.
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Affiliation(s)
- A Håberg
- MR-Center, University Hospital, RIT, N-7006, Trondheim, Norway
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Håberg A, Qu H, Haraldseth O, Unsgård G, Sonnewald U. In vivo injection of [1-13C]glucose and [1,2-13C]acetate combined with ex vivo 13C nuclear magnetic resonance spectroscopy: a novel approach to the study of middle cerebral artery occlusion in the rat. J Cereb Blood Flow Metab 1998; 18:1223-32. [PMID: 9809511 DOI: 10.1097/00004647-199811000-00008] [Citation(s) in RCA: 63] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Astrocytes play a pivotal role in cerebral glutamate homeostasis. After 90 minutes of middle cerebral artery occlusion in the rat, the changes induced in neuronal and astrocytic metabolism and in the neuronal-astrocytic interactions were studied by combining in vivo injection of [1-13C]glucose and [1,2-13C]acetate with ex vivo 13C nuclear magnetic resonance spectroscopy and HPLC analysis of amino acids of the lateral caudoputamen and lower parietal cortex, representing the putative ischemic core, and the upper frontoparietal cortex, corresponding to the putative penumbra. In the putative ischemic core, evidence of compromised de novo glutamate synthesis located specifically in the glutamatergic neurons was detected, and a larger proportion of glutamate was derived from astrocytic glutamine. In the same region, pyruvate carboxylase activity, representing the anaplerotic pathway in the brain and exclusively located in astrocytes, was abolished. However, astrocytic glutamate uptake and conversion to glutamine took place, and cycling of intermediates in the astrocytic tricarboxylic acid cycle was elevated. In the putative penumbra, glutamate synthesis was improved compared with the ischemic core, the difference appeared to be brought on by better neuronal de novo glutamate synthesis, combined with normal levels of glutamate formed from astrocytic glutamine. In both ischemic regions, gamma-aminobutyric acid synthesis directly from glucose was reduced to about half, indicating impaired pyruvate dehydrogenase activity; still, gamma-aminobutyric acid reuptake and cycling was increased. The results obtained in the current study demonstrate that by combining in vivo injection of [1-13C]glucose and [1,2-13C]acetate with ex vivo 13C nuclear magnetic resonance spectroscopy, specific metabolic alterations in small regions within the rat brain suffering a focal ischemic lesion can be studied.
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Affiliation(s)
- A Håberg
- Institute of Pharmacology and Toxicology, Norwegian University of Science and Technology, Department of Neurosurgery, University Hospital, Trondheim
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