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Verhulst MMLH, Glimmerveen AB, van Heugten CM, Helmich RCG, Hofmeijer J. MRI factors associated with cognitive functioning after acute onset brain injury: Systematic review and meta-analysis. Neuroimage Clin 2023; 38:103415. [PMID: 37119695 PMCID: PMC10165272 DOI: 10.1016/j.nicl.2023.103415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/22/2023] [Accepted: 04/19/2023] [Indexed: 05/01/2023]
Abstract
Impairments of memory, attention, and executive functioning are frequently reported after acute onset brain injury. MRI markers hold potential to contribute to identification of patients at risk for cognitive impairments and clarification of mechanisms. The aim of this systematic review was to summarize and value the evidence on MRI markers of memory, attention, and executive functioning after acute onset brain injury. We included ninety-eight studies, on six classes of MRI factors (location and severity of damage (n = 15), volume/atrophy (n = 36), signs of small vessel disease (n = 15), diffusion-weighted imaging measures (n = 36), resting-state functional MRI measures (n = 13), and arterial spin labeling measures (n = 1)). Three measures showed consistent results regarding their association with cognition. Smaller hippocampal volume was associated with worse memory in fourteen studies (pooled correlation 0.58 [95% CI: 0.46-0.68] for whole, 0.11 [95% CI: 0.04-0.19] for left, and 0.34 [95% CI: 0.17-0.49] for right hippocampus). Lower fractional anisotropy in cingulum and fornix was associated with worse memory in six and five studies (pooled correlation 0.20 [95% CI: 0.08-0.32] and 0.29 [95% CI: 0.20-0.37], respectively). Lower functional connectivity within the default-mode network was associated with worse cognition in four studies. In conclusion, hippocampal volume, fractional anisotropy in cingulum and fornix, and functional connectivity within the default-mode network showed consistent associations with cognitive performance in all types of acute onset brain injury. External validation and cut off values for predicting cognitive impairments are needed for clinical implementation.
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Affiliation(s)
- Marlous M L H Verhulst
- Clinical Neurophysiology, University of Twente, Enschede, The Netherlands; Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands.
| | - Astrid B Glimmerveen
- Clinical Neurophysiology, University of Twente, Enschede, The Netherlands; Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands
| | - Caroline M van Heugten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands; Limburg Brain Injury Center, Maastricht University, Maastricht, The Netherlands; Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Rick C G Helmich
- Donders Institute for Brain, Cognition, and Behavior, Centre for Cognitive Neuroimaging, Radboud University Nijmegen, Nijmegen, The Netherlands; Department of Neurology, Centre of Expertise for Parkinson & Movement Disorders, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Jeannette Hofmeijer
- Clinical Neurophysiology, University of Twente, Enschede, The Netherlands; Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands
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Laic RAG, Verheyden J, Bruyninckx D, Lebegge P, Sloten JV, Depreitere B. Profound prospective assessment of radiological and functional outcome 6 months after TBI in elderly. Acta Neurochir (Wien) 2023; 165:849-864. [PMID: 36922467 DOI: 10.1007/s00701-023-05546-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 03/02/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND Recovery after traumatic brain injury (TBI) in older adults is usually affected by the presence of comorbidities, leading to more severe sequelae in this age group than in younger patients. However, there are only few reports that prospectively perform in-depth assessment of outcome following TBI in elderly. OBJECTIVE This study aims at documenting structural brain characteristics and functional outcome and quality of life in elderly patients 6 months after TBI and comparing these data with healthy volunteers undergoing the same assessments. METHODS Thirteen TBI patients ≥ 65 years old, admitted to the University Hospitals Leuven (Belgium), between 2019 and 2022 due to TBI, including all injury severities, and a group of 13 healthy volunteers with similar demographic characteristics were prospectively included in the study. At admission, demographic, injury, and CT scan data were collected in our database. Six months after the accident, a brain MRI scan and standardized assessments of frailty, sleep quality, cognitive function, motor function, and quality of life were conducted. RESULTS A total of 13 patients and 13 volunteers were included in the study, with a median age of 74 and 73 years, respectively. Nine out of the 13 patients presented with a mild TBI. The patient group had a significantly higher level of frailty than the control group, presenting a mean Reported Edmonton Frailty Scale score of 5.8 (SD 2.7) vs 0.7 (SD 1.1) (p < 0.01). No statistically significant differences were found between patient and control brain volumes, fluid attenuated inversion recovery white matter hyperintensity volumes, number of lesions and blackholes, and fractional anisotropy values. Patients demonstrated a significantly higher median reaction time in the One Touch Stockings of Cambridge (22.3 s vs 17.6, p = 0.03) and Reaction Time (0.5 s vs 0.4 s, p < 0.01) subtests in the Cambridge Neuropsychological Test Automated Battery. Furthermore, patients had a lower mean score on the first Box and Blocks test with the right hand (46.6 vs 61.7, p < 0.01) and a significantly higher mean score in the Timed-Up & Go test (13.1 s vs 6.2 s, p = 0.02) and Timed Up & Go with cognitive dual task (16.0 s vs 10.2 s, p < 0.01). Substantially lower QOLIBRI total score (60.4 vs 85.4, p < 0.01) and QOLIBRI-OS total score (53.8 vs 88.5, p < 0.01) were also observed in the patients' group. CONCLUSION In this prospective study, TBI patients ≥ 65 years old when compared with elder controls showed slightly worse cognitive performance and poorer motor function, higher fall risk, but a substantially reduced QoL at 6 months FU, as well as significantly higher frailty, even when the TBI is classified as mild. No statistically significant differences were found in structural brain characteristics on MRI. Future studies with larger sample sizes are needed to refine the impact of TBI versus frailty on function and QoL in elderly.
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Cole JH, Jolly A, de Simoni S, Bourke N, Patel MC, Scott G, Sharp DJ. Spatial patterns of progressive brain volume loss after moderate-severe traumatic brain injury. Brain 2019; 141:822-836. [PMID: 29309542 PMCID: PMC5837530 DOI: 10.1093/brain/awx354] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Accepted: 11/08/2017] [Indexed: 12/14/2022] Open
Abstract
Traumatic brain injury leads to significant loss of brain volume, which continues into the chronic stage. This can be sensitively measured using volumetric analysis of MRI. Here we: (i) investigated longitudinal patterns of brain atrophy; (ii) tested whether atrophy is greatest in sulcal cortical regions; and (iii) showed how atrophy could be used to power intervention trials aimed at slowing neurodegeneration. In 61 patients with moderate-severe traumatic brain injury (mean age = 41.55 years ± 12.77) and 32 healthy controls (mean age = 34.22 years ± 10.29), cross-sectional and longitudinal (1-year follow-up) brain structure was assessed using voxel-based morphometry on T1-weighted scans. Longitudinal brain volume changes were characterized using a novel neuroimaging analysis pipeline that generates a Jacobian determinant metric, reflecting spatial warping between baseline and follow-up scans. Jacobian determinant values were summarized regionally and compared with clinical and neuropsychological measures. Patients with traumatic brain injury showed lower grey and white matter volume in multiple brain regions compared to controls at baseline. Atrophy over 1 year was pronounced following traumatic brain injury. Patients with traumatic brain injury lost a mean (± standard deviation) of 1.55% ± 2.19 of grey matter volume per year, 1.49% ± 2.20 of white matter volume or 1.51% ± 1.60 of whole brain volume. Healthy controls lost 0.55% ± 1.13 of grey matter volume and gained 0.26% ± 1.11 of white matter volume; equating to a 0.22% ± 0.83 reduction in whole brain volume. Atrophy was greatest in white matter, where the majority (84%) of regions were affected. This effect was independent of and substantially greater than that of ageing. Increased atrophy was also seen in cortical sulci compared to gyri. There was no relationship between atrophy and time since injury or age at baseline. Atrophy rates were related to memory performance at the end of the follow-up period, as well as to changes in memory performance, prior to multiple comparison correction. In conclusion, traumatic brain injury results in progressive loss of brain tissue volume, which continues for many years post-injury. Atrophy is most prominent in the white matter, but is also more pronounced in cortical sulci compared to gyri. These findings suggest the Jacobian determinant provides a method of quantifying brain atrophy following a traumatic brain injury and is informative in determining the long-term neurodegenerative effects after injury. Power calculations indicate that Jacobian determinant images are an efficient surrogate marker in clinical trials of neuroprotective therapeutics.
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Affiliation(s)
- James H Cole
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Imperial College London, Division of Brain Sciences, Hammersmith Hospital, London, UK
| | - Amy Jolly
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Imperial College London, Division of Brain Sciences, Hammersmith Hospital, London, UK
| | - Sara de Simoni
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Imperial College London, Division of Brain Sciences, Hammersmith Hospital, London, UK
| | - Niall Bourke
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Imperial College London, Division of Brain Sciences, Hammersmith Hospital, London, UK
| | - Maneesh C Patel
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Imperial College London, Division of Brain Sciences, Hammersmith Hospital, London, UK
| | - Gregory Scott
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Imperial College London, Division of Brain Sciences, Hammersmith Hospital, London, UK
| | - David J Sharp
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Imperial College London, Division of Brain Sciences, Hammersmith Hospital, London, UK
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Ubukata S, Oishi N, Sugihara G, Aso T, Fukuyama H, Murai T, Ueda K. Transcallosal Fiber Disruption and its Relationship with Corresponding Gray Matter Alteration in Patients with Diffuse Axonal Injury. J Neurotrauma 2019; 36:1106-1114. [DOI: 10.1089/neu.2018.5823] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Shiho Ubukata
- Department of Psychiatry, Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Kyoto, Japan
- Medical Innovation Center, Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Kyoto, Japan
| | - Naoya Oishi
- Medical Innovation Center, Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Kyoto, Japan
| | - Genichi Sugihara
- Department of Psychiatry, Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Kyoto, Japan
| | - Toshihiko Aso
- Department of Psychiatry, Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Kyoto, Japan
- Human Brain Research Center, Graduate School of Medicine, and Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Kyoto, Japan
| | - Hidenao Fukuyama
- Beijing Institute of Technology, Beijing, China
- Research and Educational Unit of Leaders for Integrated Medical System, Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Kyoto, Japan
| | - Toshiya Murai
- Department of Psychiatry, Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Kyoto, Japan
| | - Keita Ueda
- Department of Psychiatry, Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Kyoto, Japan
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Filley CM, Kelly JP. White Matter and Cognition in Traumatic Brain Injury. J Alzheimers Dis 2018; 65:345-362. [DOI: 10.3233/jad-180287] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Christopher M. Filley
- Behavioral Neurology Section, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Psychiatry, University of Colorado School of Medicine, Aurora, CO, USA
- Marcus Institute for Brain Health, University of Colorado School of Medicine, Aurora, CO, USA
| | - James P. Kelly
- Behavioral Neurology Section, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA
- Marcus Institute for Brain Health, University of Colorado School of Medicine, Aurora, CO, USA
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Lauer J, Moreno-López L, Manktelow A, Carroll EL, Outtrim JG, Coles JP, Newcombe VF, Sahakian BJ, Menon DK, Stamatakis EA. Neural correlates of visual memory in patients with diffuse axonal injury. Brain Inj 2017; 31:1513-1520. [PMID: 28707953 DOI: 10.1080/02699052.2017.1341998] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
PRIMARY OBJECTIVE To investigate the neural substrates of visual memory in a sample of patients with traumatic brain injury (TBI). We hypothesized that patients with decreased grey and white matter volume in frontal and parietal cortices as well as medial temporal and occipital lobes would perform poorly on the tests of visual memory analysed. METHODS AND PROCEDURES 39 patients and 53 controls were assessed on tests of visual memory and learning from the Cambridge Neuropsychological Test Automated Battery (CANTAB). Patients with TBI were scanned with magnetic resonance imaging (MRI). Partial correlations and multiple regression analyses were used to examine relationships between cognitive variables and MRI volumetric findings. This study complements and extends previous studies by performing volumetric comparisons on a variety of resolution levels, from whole brain to voxel-based level analysis. MAIN OUTCOMES AND RESULTS Patients with TBI performed significantly worse than controls in all the tasks assessed. Performance was associated with wide-spread reductions in grey and white matter volume of several cortical and subcortical structures as well as with cerebrospinal fluid space enlargement in accordance with previous studies of memory in patients with TBI and cognitive models suggesting that memory problems involve the alteration of multiple systems. CONCLUSIONS Our results propose that compromised visual memory in patients with TBI is related to a distributed pattern of volume loss in regions mediating memory and attentional processing.
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Affiliation(s)
- Juliane Lauer
- a Division of Anaesthesia , University of Cambridge , Cambridge , UK
| | | | - Anne Manktelow
- a Division of Anaesthesia , University of Cambridge , Cambridge , UK
| | - Ellen L Carroll
- a Division of Anaesthesia , University of Cambridge , Cambridge , UK
| | - Joanne G Outtrim
- a Division of Anaesthesia , University of Cambridge , Cambridge , UK
| | - Jonathan P Coles
- a Division of Anaesthesia , University of Cambridge , Cambridge , UK
| | - Virginia F Newcombe
- a Division of Anaesthesia , University of Cambridge , Cambridge , UK.,c Department of Clinical Neurosciences, Wolfson Brain Imaging Centre , University of Cambridge , Cambridge Biomedical Campus, Cambridge , UK
| | - Barbara J Sahakian
- b Department of Psychiatry and MRC/Wellcome Trust Behavioural and Clinical Neuroscience Institute , University of Cambridge , Cambridge , UK.,c Department of Clinical Neurosciences, Wolfson Brain Imaging Centre , University of Cambridge , Cambridge Biomedical Campus, Cambridge , UK
| | - David K Menon
- a Division of Anaesthesia , University of Cambridge , Cambridge , UK.,c Department of Clinical Neurosciences, Wolfson Brain Imaging Centre , University of Cambridge , Cambridge Biomedical Campus, Cambridge , UK
| | - Emmanuel A Stamatakis
- a Division of Anaesthesia , University of Cambridge , Cambridge , UK.,c Department of Clinical Neurosciences, Wolfson Brain Imaging Centre , University of Cambridge , Cambridge Biomedical Campus, Cambridge , UK
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Bigler ED, Stern Y. Traumatic brain injury and reserve. HANDBOOK OF CLINICAL NEUROLOGY 2015; 128:691-710. [DOI: 10.1016/b978-0-444-63521-1.00043-1] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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Zakzanis KK, McDonald K, Troyer AK. Component analysis of verbal fluency scores in severe traumatic brain injury. Brain Inj 2013; 27:903-8. [PMID: 23758471 DOI: 10.3109/02699052.2013.775505] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
PRIMARY OBJECTIVE This study set out to examine the sensitivity of verbal fluency component scores in severe traumatic brain injury (TBI). RESEARCH DESIGN A retrospective cross-sectional design was used, with control participants chosen at random from the community and TBI patients from litigation cases. METHODS AND PROCEDURES Fifty-four healthy controls and 28 patients who had incurred a severe TBI were included in the study. The Controlled Oral Word Association test was rescored to include clustering and switching scores for phonemic and semantic fluency separately. The scores were compared between controls and TBI patients using independent samples t-tests. MAIN OUTCOMES AND RESULTS The findings demonstrate that component scores for semantic fluency yielded the largest effect sizes overall (d = 1.32 and d = 1.53), but not phonemic fluency. Total words generated in phonemic fluency yielded the largest effect size, although still modest (d = 0.62). CONCLUSIONS While verbal fluency may be a useful test tool to elicit evidence of neuropsychological impairment after TBI, these findings are consistent with previous research demonstrating that component scores are more sensitive indices. There is potential clinical utility in using component scores for examining the specific severity of verbal fluency impairment in TBI and guiding rehabilitation efforts.
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Hunter JV, Wilde EA, Tong KA, Holshouser BA. Emerging imaging tools for use with traumatic brain injury research. J Neurotrauma 2012; 29:654-71. [PMID: 21787167 PMCID: PMC3289847 DOI: 10.1089/neu.2011.1906] [Citation(s) in RCA: 99] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
This article identifies emerging neuroimaging measures considered by the inter-agency Pediatric Traumatic Brain Injury (TBI) Neuroimaging Workgroup. This article attempts to address some of the potential uses of more advanced forms of imaging in TBI as well as highlight some of the current considerations and unresolved challenges of using them. We summarize emerging elements likely to gain more widespread use in the coming years, because of 1) their utility in diagnosis, prognosis, and understanding the natural course of degeneration or recovery following TBI, and potential for evaluating treatment strategies; 2) the ability of many centers to acquire these data with scanners and equipment that are readily available in existing clinical and research settings; and 3) advances in software that provide more automated, readily available, and cost-effective analysis methods for large scale data image analysis. These include multi-slice CT, volumetric MRI analysis, susceptibility-weighted imaging (SWI), diffusion tensor imaging (DTI), magnetization transfer imaging (MTI), arterial spin tag labeling (ASL), functional MRI (fMRI), including resting state and connectivity MRI, MR spectroscopy (MRS), and hyperpolarization scanning. However, we also include brief introductions to other specialized forms of advanced imaging that currently do require specialized equipment, for example, single photon emission computed tomography (SPECT), positron emission tomography (PET), encephalography (EEG), and magnetoencephalography (MEG)/magnetic source imaging (MSI). Finally, we identify some of the challenges that users of the emerging imaging CDEs may wish to consider, including quality control, performing multi-site and longitudinal imaging studies, and MR scanning in infants and children.
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Affiliation(s)
- Jill V Hunter
- Department of Pediatric Radiology, Texas Children's Hospital, Houston, Texas 77030, USA.
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Bigler ED. Mild traumatic brain injury: the elusive timing of "recovery". Neurosci Lett 2011; 509:1-4. [PMID: 22209806 DOI: 10.1016/j.neulet.2011.12.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2011] [Accepted: 12/06/2011] [Indexed: 11/25/2022]
Affiliation(s)
- Erin D Bigler
- Department of Psychology, Brigham Young University, Provo, UT 84602, USA. erin
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