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Kljajevic V, Evensmoen HR, Sokołowski D, Pani J, Hansen TI, Håberg AK. Female advantage in verbal learning revisited: a HUNT study. Memory 2023:1-19. [PMID: 37114402 DOI: 10.1080/09658211.2023.2203431] [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: 04/29/2023]
Abstract
The argument for a female advantage in word list learning is often based on partial observations that focus on a single component of the task. Using a large sample (N = 4403) of individuals 13-97 years of age from the general population, we investigated whether this advantage is consistently reflected in learning, recall, and recognition and how other cognitive abilities differentially support word list learning. A robust female advantage was found in all subcomponents of the task. Semantic clustering mediated the effects of short-term and working memory on long-delayed recall and recognition, and serial clustering on short-delayed recall. These indirect effects were moderated by sex, with men benefiting more from reliance on each clustering strategy than women. Auditory attention span mediated the effect of pattern separation on true positives in word recognition, and this effect was stronger in men than in women. Men had better short-term and working memory scores, but lower auditory attention span and were more vulnerable to interference both in delayed recall and recognition. Thus, our data suggest that auditory attention span and interference control (inhibition), rather than short-term or working memory scores, semantic and/or serial clustering on their own, underlie better performance on word list learning in women.
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Affiliation(s)
- V Kljajevic
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - H R Evensmoen
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - D Sokołowski
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - J Pani
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - T I Hansen
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - A K Håberg
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
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2
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Isherwood SJS, Bazin PL, Miletić S, Stevenson NR, Trutti AC, Tse DHY, Heathcote A, Matzke D, Innes RJ, Habli S, Sokołowski DR, Alkemade A, Håberg AK, Forstmann BU. Investigating Intra-Individual Networks of Response Inhibition and Interference Resolution using 7T MRI. Neuroimage 2023; 271:119988. [PMID: 36868392 DOI: 10.1016/j.neuroimage.2023.119988] [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: 10/21/2022] [Revised: 02/20/2023] [Accepted: 02/25/2023] [Indexed: 03/05/2023] Open
Abstract
Response inhibition and interference resolution are often considered subcomponents of an overarching inhibition system that utilizes the so-called cortico-basal-ganglia loop. Up until now, most previous functional magnetic resonance imaging (fMRI) literature has compared the two using between-subject designs, pooling data in the form of a meta-analysis or comparing different groups. Here, we investigate the overlap of activation patterns underlying response inhibition and interference resolution on a within-subject level, using ultra-high field MRI. In this model-based study, we furthered the functional analysis with cognitive modelling techniques to provide a more in-depth understanding of behaviour. We applied the stop-signal task and multi-source interference task to measure response inhibition and interference resolution, respectively. Our results lead us to conclude that these constructs are rooted in anatomically distinct brain areas and provide little evidence for spatial overlap. Across the two tasks, common BOLD responses were observed in the inferior frontal gyrus and anterior insula. Interference resolution relied more heavily on subcortical components, specifically nodes of the commonly referred to indirect and hyperdirect pathways, as well as the anterior cingulate cortex, and pre-supplementary motor area. Our data indicated that orbitofrontal cortex activation is specific to response inhibition. Our model-based approach provided evidence for the dissimilarity in behavioural dynamics between the two tasks. The current work exemplifies the importance of reducing inter-individual variance when comparing network patterns and the value of UHF-MRI for high resolution functional mapping.
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Affiliation(s)
- S J S Isherwood
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands.
| | - P L Bazin
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands; Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - S Miletić
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands
| | - N R Stevenson
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands
| | - A C Trutti
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands; Institute of Psychology, Leiden University, Leiden, The Netherlands
| | - D H Y Tse
- Norwegian University of Science and Technology, Trondheim, Norway
| | - A Heathcote
- Department of Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands
| | - D Matzke
- Department of Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands
| | - R J Innes
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands
| | - S Habli
- Norwegian University of Science and Technology, Trondheim, Norway
| | - D R Sokołowski
- Norwegian University of Science and Technology, Trondheim, Norway
| | - A Alkemade
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands
| | - A K Håberg
- Norwegian University of Science and Technology, Trondheim, Norway
| | - B U Forstmann
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands
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Lauvsnes ADF, Hansen TI, Håberg AK, Gråwe RW, Langaas M. Poor Response Inhibition and Symptoms of Inattentiveness Are Core Characteristics of Lifetime Illicit Substance Use among Young Adults in the General Norwegian Population: The HUNT Study. Subst Use Misuse 2022; 57:1462-1469. [PMID: 35762149 DOI: 10.1080/10826084.2022.2091788] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Impairments in neurocognitive functioning are associated with substance use behavior. Previous studies in neurocognitive predictors of substance use typically use self-report measures rather than neuropsychological performance measures and suffer from low sample sizes and use of clinical diagnostic cut offs. METHODS Crossectional data from the HUNT4 Study (Helseundersøkelsen i Trøndelag) was used to study executive neuropsychological performance and self-reported measures of neurocognitive function associated with a history of illicit substance use in a general population sample of young adults in Norway. We performed both between group comparisons and logistic regression modeling and controlled for mental health symptomatology. RESULTS Subjects in our cohort with a self-reported use of illicit substances had significantly higher self-reported mental health and neurocognitive symptom load. A logistic regression model with substance use as response included sex, commission errors and self-reported inattentiveness and anxiety as significant predictors. After 10-fold cross-validation this model achieved a moderate area under the receiver-operator curve of 0.63. To handle the class imbalance typically found in such population data, we also calculated balanced accuracy with a optimal model cut off of 0.234 with a sensitivity of 0.50 and specificity of 0.76 as well as precision recall-area under the curve of 0.28. CONCLUSIONS Subtle cognitive dysfunction differentiates subjects with and without a history of illicit substance use. Neurocognitive factors outperformed the effects of depressive symptoms on substance use behavior in this cohort. We highlight the need for using adequate statistical tools for evaluating the performance of models in unbalanced datasets.
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Affiliation(s)
- A D F Lauvsnes
- Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - T I Hansen
- Department of Physical Medicine and Rehabilitation, St. Olavs University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - A K Håberg
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - R W Gråwe
- Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Division of Psychiatry, Department of Research and Development, St. Olavs University Hospital, Trondheim, Norway
| | - M Langaas
- Department of Mathematical Sciences, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Trondheim, Norway
- Norwegian Computing Center, SAMBA, Oslo, Norway
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4
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Ruiz ST, Bakklund RV, Håberg AK, Berntsen EM. Normative Data for Brainstem Structures, the Midbrain-to-Pons Ratio, and the Magnetic Resonance Parkinsonism Index. AJNR Am J Neuroradiol 2022; 43:707-714. [PMID: 35393362 PMCID: PMC9089261 DOI: 10.3174/ajnr.a7485] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 02/11/2022] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND PURPOSE Imaging biomarkers derived from different brainstem structures are suggested to differentiate among parkinsonian disorders, but clinical implementation requires normative data. The main objective was to establish high-quality, sex-specific data for relevant brainstem structures derived from MR imaging in healthy subjects from the general population in their sixth and seventh decades of life. MATERIALS AND METHODS 3D T1WI acquired on the same 1.5T scanner of 996 individuals (527 women) between 50 and 66 years of age from a prospective population study was used. The area of the midbrain and pons and the widths of the middle cerebellar peduncles and superior cerebellar peduncles were measured, from which the midbrain-to-pons ratio and Magnetic Resonance Parkinsonism Index [MRPI = (Pons Area / Midbrain Area) × (Middle Cerebellar Peduncles / Superior Cerebellar Peduncles)] were calculated. Sex differences in brainstem measures and correlations to age, height, weight, and body mass index were investigated. RESULTS Inter- and intrareliability for measuring the different brainstem structures showed good-to-excellent reliability (intraclass correlation coefficient = 0.785-0.988). There were significant sex differences for the pons area, width of the middle cerebellar peduncles and superior cerebellar peduncles, midbrain-to-pons ratio, and MRPI (all, P < .001; Cohen D = 0.44-0.98), but not for the midbrain area (P = .985). There were significant very weak-to-weak correlations between several of the brainstem measures and age, height, weight, and body mass index in both sexes. However, no systematic difference in distribution caused by these variables was found, and because age had the highest and most consistent correlations, age-/sex-specific percentiles for the brainstem measures were created. CONCLUSIONS We present high-quality, sex-specific data and age-/sex-specific percentiles for the mentioned brainstem measures. These normative data can be implemented in the neuroradiologic work-up of patients with suspected brainstem atrophy to avoid the risk of misdiagnosis.
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Affiliation(s)
- S T Ruiz
- From the Department of Circulation and Medical Imaging (S.T.R., R.V.B., E.M.B.)
| | - R V Bakklund
- From the Department of Circulation and Medical Imaging (S.T.R., R.V.B., E.M.B.)
| | - A K Håberg
- Faculty of Medicine and Health Sciences, and Neuromedicine and Movement Sciences (A.K.H.), Norwegian University of Science and Technology, Trondheim, Norway.,Department of Radiology and Nuclear Medicine (A.K.H., E.M.B.), St. Olavs University Hospital, Trondheim, Norway
| | - E M Berntsen
- From the Department of Circulation and Medical Imaging (S.T.R., R.V.B., E.M.B.) .,Department of Radiology and Nuclear Medicine (A.K.H., E.M.B.), St. Olavs University Hospital, Trondheim, Norway
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5
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Talboom JS, De Both MD, Naymik MA, Schmidt AM, Lewis CR, Jepsen WM, Håberg AK, Rundek T, Levin BE, Hoscheidt S, Bolla Y, Brinton RD, Schork NJ, Hay M, Barnes CA, Glisky E, Ryan L, Huentelman MJ. Two separate, large cohorts reveal potential modifiers of age-associated variation in visual reaction time performance. NPJ Aging Mech Dis 2021; 7:14. [PMID: 34210964 PMCID: PMC8249619 DOI: 10.1038/s41514-021-00067-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [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: 07/21/2020] [Accepted: 04/21/2021] [Indexed: 02/04/2023] Open
Abstract
To identify potential factors influencing age-related cognitive decline and disease, we created MindCrowd. MindCrowd is a cross-sectional web-based assessment of simple visual (sv) reaction time (RT) and paired-associate learning (PAL). svRT and PAL results were combined with 22 survey questions. Analysis of svRT revealed education and stroke as potential modifiers of changes in processing speed and memory from younger to older ages (ntotal = 75,666, nwomen = 47,700, nmen = 27,966; ages 18-85 years old, mean (M)Age = 46.54, standard deviation (SD)Age = 18.40). To complement this work, we evaluated complex visual recognition reaction time (cvrRT) in the UK Biobank (ntotal = 158,249 nwomen = 89,333 nmen = 68,916; ages 40-70 years old, MAge = 55.81, SDAge = 7.72). Similarities between the UK Biobank and MindCrowd were assessed using a subset of MindCrowd (UKBb MindCrowd) selected to mirror the UK Biobank demographics (ntotal = 39,795, nwomen = 29,640, nmen = 10,155; ages 40-70 years old, MAge = 56.59, SDAge = 8.16). An identical linear model (LM) was used to assess both cohorts. Analyses revealed similarities between MindCrowd and the UK Biobank across most results. Divergent findings from the UK Biobank included (1) a first-degree family history of Alzheimer's disease (FHAD) was associated with longer cvrRT. (2) Men with the least education were associated with longer cvrRTs comparable to women across all educational attainment levels. Divergent findings from UKBb MindCrowd included more education being associated with shorter svRTs and a history of smoking with longer svRTs from younger to older ages.
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Affiliation(s)
- J. S. Talboom
- grid.250942.80000 0004 0507 3225The Translational Genomics Research Institute (TGen), Phoenix, AZ USA ,Arizona Alzheimer’s Consortium, Phoenix, AZ USA
| | - M. D. De Both
- grid.250942.80000 0004 0507 3225The Translational Genomics Research Institute (TGen), Phoenix, AZ USA ,Arizona Alzheimer’s Consortium, Phoenix, AZ USA
| | - M. A. Naymik
- grid.250942.80000 0004 0507 3225The Translational Genomics Research Institute (TGen), Phoenix, AZ USA ,Arizona Alzheimer’s Consortium, Phoenix, AZ USA
| | - A. M. Schmidt
- grid.250942.80000 0004 0507 3225The Translational Genomics Research Institute (TGen), Phoenix, AZ USA ,Arizona Alzheimer’s Consortium, Phoenix, AZ USA
| | - C. R. Lewis
- grid.250942.80000 0004 0507 3225The Translational Genomics Research Institute (TGen), Phoenix, AZ USA ,Arizona Alzheimer’s Consortium, Phoenix, AZ USA
| | - W. M. Jepsen
- grid.250942.80000 0004 0507 3225The Translational Genomics Research Institute (TGen), Phoenix, AZ USA ,Arizona Alzheimer’s Consortium, Phoenix, AZ USA
| | - A. K. Håberg
- grid.5947.f0000 0001 1516 2393Norwegian University of Science and Technology, Trondheim, Norway
| | - T. Rundek
- grid.26790.3a0000 0004 1936 8606University of Miami Miller School of Medicine and Evelyn F. McKnight Brain Institute, Miami, FL USA
| | - B. E. Levin
- grid.26790.3a0000 0004 1936 8606University of Miami Miller School of Medicine and Evelyn F. McKnight Brain Institute, Miami, FL USA
| | - S. Hoscheidt
- Arizona Alzheimer’s Consortium, Phoenix, AZ USA ,grid.134563.60000 0001 2168 186XUniversity of Arizona, Tucson, AZ USA
| | - Y. Bolla
- Arizona Alzheimer’s Consortium, Phoenix, AZ USA ,grid.134563.60000 0001 2168 186XUniversity of Arizona, Tucson, AZ USA
| | - R. D. Brinton
- Arizona Alzheimer’s Consortium, Phoenix, AZ USA ,grid.134563.60000 0001 2168 186XUniversity of Arizona, Tucson, AZ USA
| | - N. J. Schork
- grid.250942.80000 0004 0507 3225The Translational Genomics Research Institute (TGen), Phoenix, AZ USA ,grid.410425.60000 0004 0421 8357City of Hope National Medical Center, Duarte, CA USA
| | - M. Hay
- Arizona Alzheimer’s Consortium, Phoenix, AZ USA ,grid.134563.60000 0001 2168 186XUniversity of Arizona, Tucson, AZ USA
| | - C. A. Barnes
- Arizona Alzheimer’s Consortium, Phoenix, AZ USA ,grid.134563.60000 0001 2168 186XUniversity of Arizona, Tucson, AZ USA
| | - E. Glisky
- Arizona Alzheimer’s Consortium, Phoenix, AZ USA ,grid.134563.60000 0001 2168 186XUniversity of Arizona, Tucson, AZ USA
| | - L. Ryan
- Arizona Alzheimer’s Consortium, Phoenix, AZ USA ,grid.134563.60000 0001 2168 186XUniversity of Arizona, Tucson, AZ USA
| | - M. J. Huentelman
- grid.250942.80000 0004 0507 3225The Translational Genomics Research Institute (TGen), Phoenix, AZ USA ,Arizona Alzheimer’s Consortium, Phoenix, AZ USA
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Lewis CR, Talboom JS, De Both MD, Schmidt AM, Naymik MA, Håberg AK, Rundek T, Levin BE, Hoscheidt S, Bolla Y, Brinton RD, Hay M, Barnes CA, Glisky E, Ryan L, Huentelman MJ. Smoking is associated with impaired verbal learning and memory performance in women more than men. Sci Rep 2021; 11:10248. [PMID: 33986309 PMCID: PMC8119711 DOI: 10.1038/s41598-021-88923-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [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: 10/07/2020] [Accepted: 04/09/2021] [Indexed: 02/03/2023] Open
Abstract
Vascular contributions to cognitive impairment and dementia (VCID) include structural and functional blood vessel injuries linked to poor neurocognitive outcomes. Smoking might indirectly increase the likelihood of cognitive impairment by exacerbating vascular disease risks. Sex disparities in VCID have been reported, however, few studies have assessed the sex-specific relationships between smoking and memory performance and with contradictory results. We investigated the associations between sex, smoking, and cardiovascular disease with verbal learning and memory function. Using MindCrowd, an observational web-based cohort of ~ 70,000 people aged 18-85, we investigated whether sex modifies the relationship between smoking and cardiovascular disease with verbal memory performance. We found significant interactions in that smoking is associated with verbal learning performance more in women and cardiovascular disease more in men across a wide age range. These results suggest that smoking and cardiovascular disease may impact verbal learning and memory throughout adulthood differently for men and women.
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Affiliation(s)
- C. R. Lewis
- grid.250942.80000 0004 0507 3225The Translational Genomics Research Institute, Phoenix, AZ 85004 USA ,Arizona Alzheimer’s Consortium, Phoenix, AZ 85004 USA
| | - J. S. Talboom
- grid.250942.80000 0004 0507 3225The Translational Genomics Research Institute, Phoenix, AZ 85004 USA ,Arizona Alzheimer’s Consortium, Phoenix, AZ 85004 USA
| | - M. D. De Both
- grid.250942.80000 0004 0507 3225The Translational Genomics Research Institute, Phoenix, AZ 85004 USA ,Arizona Alzheimer’s Consortium, Phoenix, AZ 85004 USA
| | - A. M. Schmidt
- grid.250942.80000 0004 0507 3225The Translational Genomics Research Institute, Phoenix, AZ 85004 USA ,Arizona Alzheimer’s Consortium, Phoenix, AZ 85004 USA
| | - M. A. Naymik
- grid.250942.80000 0004 0507 3225The Translational Genomics Research Institute, Phoenix, AZ 85004 USA ,Arizona Alzheimer’s Consortium, Phoenix, AZ 85004 USA
| | - A. K. Håberg
- grid.5947.f0000 0001 1516 2393Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - T. Rundek
- grid.134563.60000 0001 2168 186XEvelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ 85721 USA ,grid.26790.3a0000 0004 1936 8606Miami Clinical and Translational Science Institute, University of Miami, Miami, FL 33136 USA
| | - B. E. Levin
- grid.134563.60000 0001 2168 186XEvelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ 85721 USA
| | - S. Hoscheidt
- Arizona Alzheimer’s Consortium, Phoenix, AZ 85004 USA ,grid.134563.60000 0001 2168 186XUniversity of Arizona, Tucson, AZ 85721 USA
| | - Y. Bolla
- Arizona Alzheimer’s Consortium, Phoenix, AZ 85004 USA ,grid.134563.60000 0001 2168 186XUniversity of Arizona, Tucson, AZ 85721 USA
| | - R. D. Brinton
- Arizona Alzheimer’s Consortium, Phoenix, AZ 85004 USA ,grid.134563.60000 0001 2168 186XUniversity of Arizona, Tucson, AZ 85721 USA
| | - M. Hay
- Arizona Alzheimer’s Consortium, Phoenix, AZ 85004 USA ,grid.134563.60000 0001 2168 186XUniversity of Arizona, Tucson, AZ 85721 USA
| | - C. A. Barnes
- Arizona Alzheimer’s Consortium, Phoenix, AZ 85004 USA ,grid.134563.60000 0001 2168 186XUniversity of Arizona, Tucson, AZ 85721 USA
| | - E. Glisky
- Arizona Alzheimer’s Consortium, Phoenix, AZ 85004 USA ,grid.134563.60000 0001 2168 186XUniversity of Arizona, Tucson, AZ 85721 USA
| | - L. Ryan
- Arizona Alzheimer’s Consortium, Phoenix, AZ 85004 USA ,grid.134563.60000 0001 2168 186XUniversity of Arizona, Tucson, AZ 85721 USA
| | - M. J. Huentelman
- grid.250942.80000 0004 0507 3225The Translational Genomics Research Institute, Phoenix, AZ 85004 USA ,Arizona Alzheimer’s Consortium, Phoenix, AZ 85004 USA
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7
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Sripada K, Bjuland KJ, Sølsnes AE, Håberg AK, Grunewaldt KH, Løhaugen GC, Rimol LM, Skranes J. Trajectories of brain development in school-age children born preterm with very low birth weight. Sci Rep 2018; 8:15553. [PMID: 30349084 PMCID: PMC6197262 DOI: 10.1038/s41598-018-33530-8] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [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: 06/27/2018] [Accepted: 09/27/2018] [Indexed: 12/29/2022] Open
Abstract
Preterm birth (gestational age < 37 weeks) with very low birth weight (VLBW, birth weight ≤ 1500 g) is associated with lifelong cognitive deficits, including in executive function, and persistent alterations in cortical and subcortical structures. However, it remains unclear whether “catch-up” growth is possible in the preterm/VLBW brain. Longitudinal structural MRI was conducted with children born preterm with VLBW (n = 41) and term-born peers participating in the Norwegian Mother and Child Cohort Study (MoBa) (n = 128) at two timepoints in early school age (mean ages 8.0 and 9.3 years). Images were analyzed with the FreeSurfer 5.3.0 longitudinal stream to assess differences in development of cortical thickness, surface area, and brain structure volumes, as well as associations with executive function development (NEPSY Statue and WMS-III Spatial Span scores) and perinatal health markers. No longitudinal group × time effects in cortical thickness, surface area, or subcortical volumes were seen, indicating similar brain growth trajectories in the groups over an approximately 16-month period in middle childhood. Higher IQ scores within the VLBW group were associated with greater surface area in left parieto-occipital and inferior temporal regions. Among VLBW preterm-born children, cortical surface area was smaller across the cortical mantle, and cortical thickness was thicker occipitally and frontally and thinner in lateral parietal and posterior temporal areas. Smaller volumes of corpus callosum, right globus pallidus, and right thalamus persisted in the VLBW group from timepoint 1 to 2. VLBW children had on average IQ 1 SD below term-born MoBa peers and significantly worse scores on WMS-III Spatial Span. Executive function scores did not show differential associations with morphometry between groups cross-sectionally or longitudinally. This study investigated divergent or “catch-up” growth in terms of cortical thickness, surface area, and volumes of subcortical gray matter structures and corpus callosum in children born preterm/VLBW and did not find group × time interactions. Greater surface area at mean age 9.3 in left parieto-occipital and inferior temporal cortex was associated with higher IQ in the VLBW group. These results suggest that preterm VLBW children may have altered cognitive networks, yet have structural growth trajectories that appear generally similar to their term-born peers in this early school age window.
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Affiliation(s)
- K Sripada
- Department of Clinical & Molecular Medicine, Norwegian University of Science & Technology, Trondheim, Norway.
| | - K J Bjuland
- Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
| | - A E Sølsnes
- Department of Clinical & Molecular Medicine, Norwegian University of Science & Technology, Trondheim, Norway
| | - A K Håberg
- Department of Neuromedicine & Movement Science, Norwegian University of Science & Technology, Trondheim, Norway.,Department of Radiology & Nuclear Medicine, St. Olav's Hospital, Trondheim, Norway
| | - K H Grunewaldt
- Department of Clinical & Molecular Medicine, Norwegian University of Science & Technology, Trondheim, Norway.,Department of Pediatrics, St. Olav's Hospital, Trondheim, Norway
| | - G C Løhaugen
- Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
| | - L M Rimol
- Department of Radiology & Nuclear Medicine, St. Olav's Hospital, Trondheim, Norway.,Department of Circulation & Medical Imaging, Norwegian University of Science & Technology, Trondheim, Norway
| | - J Skranes
- Department of Clinical & Molecular Medicine, Norwegian University of Science & Technology, Trondheim, Norway.,Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
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8
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Pavlin T, Nagelhus EA, Brekken C, Eyjolfsson EM, Thoren A, Haraldseth O, Sonnewald U, Ottersen OP, Håberg AK. Loss or Mislocalization of Aquaporin-4 Affects Diffusion Properties and Intermediary Metabolism in Gray Matter of Mice. Neurochem Res 2016; 42:77-91. [DOI: 10.1007/s11064-016-2139-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Revised: 12/02/2016] [Accepted: 12/08/2016] [Indexed: 11/27/2022]
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Abstract
BACKGROUND It is proposed that changes in reward processing in the brain are involved in the pathophysiology of pain based on experimental studies. The first aim of the present study was to investigate if reward drive and/or reward responsiveness was altered in patients with chronic pain (PCP) compared to controls matched for education, age and sex. The second aim was to investigate the relationship between reward processing and nucleus accumbens volume in PCP and controls. Nucleus accumbens is central in reward processing and its structure has been shown to be affected by chronic pain conditions in previous studies. METHODS Reward drive and responsiveness were assessed with the Behavioral Inhibition Scale/Behavioral Activation Scale, and nucleus accumbens volumes obtained from T1-weighted brain MRIs obtained at 3T in 19 PCP of heterogeneous aetiologies and 20 age-, sex- and education-matched healthy controls. Anhedonia was assessed with Beck's Depression Inventory II. RESULTS The PCP group had significantly reduced scores on the reward responsiveness, but not reward drive. There was a trend towards smaller nucleus accumbens volume in the PCP compared to control group. There was a significant positive partial correlation between reward responsiveness and nucleus accumbens volume in the PCP group adjusted for anhedonia, which was significantly different from the same relationship in the control group. CONCLUSIONS Reward responsiveness is reduced in chronic pain patients of heterogeneous aetiology, and this reduction was associated with nucleus accumbens volume. Reduced reward responsiveness could be a marker of chronic pain vulnerability, and may indicate reduced opioid function.
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Affiliation(s)
- N A Elvemo
- Department of Neuroscience, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - N I Landrø
- Clinical Neuroscience Research Group, Department of Psychology, University of Oslo, Norway.,Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,National Competence Centre for Complex Symptom Disorders, St. Olav's University Hospital, Trondheim, Norway
| | - P C Borchgrevink
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,National Competence Centre for Complex Symptom Disorders, St. Olav's University Hospital, Trondheim, Norway
| | - A K Håberg
- Department of Neuroscience, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Medical Imaging, St. Olav's University Hospital, Trondheim, Norway
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10
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Håberg AK, Olsen A, Moen KG, Schirmer-Mikalsen K, Visser E, Finnanger TG, Evensen KAI, Skandsen T, Vik A, Eikenes L. White matter microstructure in chronic moderate-to-severe traumatic brain injury: Impact of acute-phase injury-related variables and associations with outcome measures. J Neurosci Res 2014; 93:1109-26. [PMID: 25641684 DOI: 10.1002/jnr.23534] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [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: 09/09/2014] [Revised: 10/29/2014] [Accepted: 11/20/2014] [Indexed: 12/20/2022]
Abstract
This study examines how injury mechanisms and early neuroimaging and clinical measures impact white matter (WM) fractional anisotropy (FA), mean diffusivity (MD), and tract volumes in the chronic phase of traumatic brain injury (TBI) and how WM integrity in the chronic phase is associated with different outcome measures obtained at the same time. Diffusion tensor imaging (DTI) at 3 T was acquired more than 1 year after TBI in 49 moderate-to-severe-TBI survivors and 50 matched controls. DTI data were analyzed with tract-based spatial statistics and automated tractography. Moderate-to-severe TBI led to widespread FA decreases, MD increases, and tract volume reductions. In severe TBI and in acceleration/deceleration injuries, a specific FA loss was detected. A particular loss of FA was also present in the thalamus and the brainstem in all grades of diffuse axonal injury. Acute-phase Glasgow Coma Scale scores, number of microhemorrhages on T2*, lesion volume on fluid-attenuated inversion recovery, and duration of posttraumatic amnesia were associated with more widespread FA loss and MD increases in chronic TBI. Episodes of cerebral perfusion pressure <70 mmHg were specifically associated with reduced MD. Neither episodes of intracranial pressure >20 mmHg nor acute-phase Rotterdam CT scores were associated with WM changes. Glasgow Outcome Scale Extended scores and performance-based cognitive control functioning were associated with FA and MD changes, but self-reported cognitive control functioning was not. In conclusion, FA loss specifically reflects the primary injury severity and mechanism, whereas FA and MD changes are associated with objective measures of general and cognitive control functioning.
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Affiliation(s)
- A K Håberg
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Medical Imaging, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - A Olsen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Physical Medicine and Rehabilitation, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - K G Moen
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Neurosurgery, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - K Schirmer-Mikalsen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Anaesthesia and Intensive Care, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - E Visser
- FMRIB Centre, University of Oxford, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, United Kingdom
| | - T G Finnanger
- Regional Centre for Child and Youth Mental Health and Child Welfare-Central Norway, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Division of Mental Healthcare, Department of Child and Adolescent Psychiatry, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - K A I Evensen
- Department of Public Health and General Practice, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Laboratory Medicine, Children's and Women's Health, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Physiotherapy, Trondheim Municipality, Trondheim, Norway
| | - T Skandsen
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Physical Medicine and Rehabilitation, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - A Vik
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Neurosurgery, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - L Eikenes
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
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11
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Husøy AK, Honningsvåg LM, Håberg AK, Hagen K, Linde M, Gårseth M, Stovner LJ. EHMTI-0148. Perivascular spaces and headache: a population-based imaging study (MRI HUNT). J Headache Pain 2014. [PMCID: PMC4182254 DOI: 10.1186/1129-2377-15-s1-f12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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12
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Palmer HS, Håberg AK, Fimland MS, Solstad GM, Moe Iversen V, Hoff J, Helgerud J, Eikenes L. Structural brain changes after 4 wk of unilateral strength training of the lower limb. J Appl Physiol (1985) 2013; 115:167-75. [DOI: 10.1152/japplphysiol.00277.2012] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Strength training enhances muscular strength and neural drive, but the underlying neuronal mechanisms remain unclear. This study used magnetic resonance imaging (MRI) to identify possible changes in corticospinal tract (CST) microstructure, cortical activation, and subcortical structure volumes following unilateral strength training of the plantar flexors. Mechanisms underlying cross-education of strength in the untrained leg were also investigated. Young, healthy adult volunteers were assigned to training ( n = 12) or control ( n = 9) groups. The 4 wk of training consisted of 16 sessions of 36 unilateral isometric plantar flexions. Maximum voluntary isometric contraction torque was tested pre- and posttraining. MRI investigation included a T1-weighted scan, diffusion tensor imaging and functional MRI. Probabilistic fiber tracking of the CST was performed on the diffusion tensor imaging images using a two-regions-of-interest approach. Fractional anisotropy and mean diffusivity were calculated for the left and right CST in each individual before and after training. Standard functional MRI analyses and volumetric analyses of subcortical structures were also performed. Maximum voluntary isometric contraction significantly increased in both the trained and untrained legs of the training group, but not the control group. A significant decrease in mean diffusivity was found in the left CST following strength training of the right leg. No significant changes were detected in the right CST. No significant changes in cortical activation were observed following training. A significant reduction in left putamen volume was found after training. This study provides the first evidence for strength training-related changes in white matter and putamen in the healthy adult brain.
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Affiliation(s)
- H. S. Palmer
- MI-Lab, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - A. K. Håberg
- Department of Medical Imaging, St. Olavs Hospital, Trondheim, Norway
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
| | - M. S. Fimland
- MI-Lab, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - G. M. Solstad
- MI-Lab, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - V. Moe Iversen
- MI-Lab, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - J. Hoff
- MI-Lab, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim, Norway
| | - J. Helgerud
- MI-Lab, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
- Hokksund Medical Rehabilitation Centre, Hokksund, Norway; and
- Department of Sports and Outdoor Life Studies, Telemark University College, Bø, Norway
| | - L. Eikenes
- MI-Lab, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
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