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Fateh AA, Smahi A, Hassan M, Mo T, Hu Z, Mohammed AAQ, Hu Y, Massé CC, Chen L, Chen Y, Liao J, Zeng H. From brain connectivity to cognitive function: Dissecting the salience network in pediatric BECTS-ESES. Prog Neuropsychopharmacol Biol Psychiatry 2024; 135:111110. [PMID: 39069247 DOI: 10.1016/j.pnpbp.2024.111110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 07/19/2024] [Accepted: 07/24/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND Benign childhood epilepsy with centrotemporal spikes (BECTS), a common pediatric epilepsy, may lead to cognitive decline when compounded by Electrical Status Epilepticus during Sleep (ESES). Emerging evidence suggests that disruptions in the Salience Network (SN) contribute significantly to the cognitive deficits observed in BECTS-ESES. Our study rigorously investigates the dynamic functional connectivity (dFC) within the SN and its correlation with cognitive impairments in BECTS-ESES, employing advanced neuroimaging and neuropsychological assessments. METHODS In this research, 45 patients diagnosed with BECTS-ESES and 55 age-matched healthy controls (HCs) participated. We utilized resting-state functional magnetic resonance imaging (fMRI) and Independent Component Analysis (ICA) to identify three fundamental SN nodes: the right Anterior Insula (rAI), left Anterior Insula (lAI), and the Anterior Cingulate Cortex (ACC). A two-sample t-test facilitated the comparison of dFC between these pivotal regions and other brain areas. RESULTS Significantly, the BECTS-ESES group demonstrated increased dFC, particularly between the ACC and the right Middle Occipital Gyrus, and from the rAI to the right Superior Parietal Gyrus and Cerebellum, and from the lAI to the left Postcentral Gyrus. Such dFC augmentations provide neural insights potentially explaining the neuropsychological deficits in BECTS-ESES children. Employing comprehensive neuropsychological evaluations, we mapped these dFC disruptions to specific cognitive impairments encompassing memory, executive functioning, language, and attention. Through multiple regression analysis and path analysis, a preliminary but compelling association was discovered linking dFC disturbances directly to cognitive impairments. These findings underscore the critical role of SN disruptions in BECTS-ESES cognitive dysfunctions. LIMITATION Our cross-sectional design and analytic methods preclude definitive mediation models and causal inferences, leaving the precise nature of dFC's mediating role and its direct impact by BECTS-ESES partially unresolved. Future longitudinal and confirmatory studies are needed to comprehensively delineate these associations. CONCLUSION Our study heralds dFC within the SN as a vital biomarker for cognitive impairment in pediatric epilepsy, advocating for targeted cognitive-specific interventions in managing BECTS-ESES. The preliminary nature of our findings invites further studies to substantiate these associations, offering profound implications for the prognosis and therapeutic strategies in BECTS-ESES, thereby underlining the importance of this research in the field of pediatric neurology and epilepsy management.
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Affiliation(s)
- Ahmed Ameen Fateh
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Abla Smahi
- Shenzhen Graduate School, Peking University, Shenzhen, China
| | - Muhammad Hassan
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Tong Mo
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Zhanqi Hu
- Department of Neurology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Adam A Q Mohammed
- School of Computer Science and Engineering, Southeast University, Nanjing 211189, China
| | - Yan Hu
- Department of Neurology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Cristina Cañete Massé
- Psychology, Sciences of Education and Sport, Blanquerna, Ramon Llull University, Barcelona, Spain; Department of Social Psychology and Quantitative Psychology, Faculty of Psychology, Universitat de Barcelona, Barcelona, Spain
| | - Li Chen
- Department of Neurology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Yan Chen
- Department of Neurology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Jianxiang Liao
- Department of Neurology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Hongwu Zeng
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China.
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Ruiz T, Brown S, Farivar R. Graph Analysis of the Visual Cortical Network during Naturalistic Movie Viewing Reveals Increased Integration and Decreased Segregation Following Mild TBI. Vision (Basel) 2024; 8:33. [PMID: 38804354 PMCID: PMC11130927 DOI: 10.3390/vision8020033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 04/03/2024] [Accepted: 04/18/2024] [Indexed: 05/29/2024] Open
Abstract
Traditional neuroimaging methods have identified alterations in brain activity patterns following mild traumatic brain injury (mTBI), particularly during rest, complex tasks, and normal vision. However, studies using graph theory to examine brain network changes in mTBI have produced varied results, influenced by the specific networks and task demands analyzed. In our study, we employed functional MRI to observe 17 mTBI patients and 54 healthy individuals as they viewed a simple, non-narrative underwater film, simulating everyday visual tasks. This approach revealed significant mTBI-related changes in network connectivity, efficiency, and organization. Specifically, the mTBI group exhibited higher overall connectivity and local network specialization, suggesting enhanced information integration without overwhelming the brain's processing capabilities. Conversely, these patients showed reduced network segregation, indicating a less compartmentalized brain function compared to healthy controls. These patterns were consistent across various visual cortex subnetworks, except in primary visual areas. Our findings highlight the potential of using naturalistic stimuli in graph-based neuroimaging to understand brain network alterations in mTBI and possibly other conditions affecting brain integration.
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Affiliation(s)
- Tatiana Ruiz
- Department of Ophthalmology & Visual Sciences, McGill University, Montreal, QC H4A 0A4, Canada (S.B.)
- Research Institute of the McGill University Health Center, Montreal, QC H3G 1A4, Canada
| | - Shael Brown
- Department of Ophthalmology & Visual Sciences, McGill University, Montreal, QC H4A 0A4, Canada (S.B.)
- Research Institute of the McGill University Health Center, Montreal, QC H3G 1A4, Canada
| | - Reza Farivar
- Department of Ophthalmology & Visual Sciences, McGill University, Montreal, QC H4A 0A4, Canada (S.B.)
- Research Institute of the McGill University Health Center, Montreal, QC H3G 1A4, Canada
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3
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Chan ST, Mercaldo N, Figueiro Longo MG, Welt J, Avesta A, Lee J, Lev MH, Ratai EM, Wenke MR, Parry BA, Drake L, Anderson RR, Rauch T, Diaz-Arrastia R, Kwong KK, Hamblin M, Vakoc BJ, Gupta R, Panzer A. Effects of Low-Level Light Therapy on Resting-State Connectivity Following Moderate Traumatic Brain Injury: Secondary Analyses of a Double-blinded Placebo-controlled Study. Radiology 2024; 311:e230999. [PMID: 38805733 PMCID: PMC11140530 DOI: 10.1148/radiol.230999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 02/28/2024] [Accepted: 04/08/2024] [Indexed: 05/30/2024]
Abstract
Background Low-level light therapy (LLLT) has been shown to modulate recovery in patients with traumatic brain injury (TBI). However, the impact of LLLT on the functional connectivity of the brain when at rest has not been well studied. Purpose To use functional MRI to assess the effect of LLLT on whole-brain resting-state functional connectivity (RSFC) in patients with moderate TBI at acute (within 1 week), subacute (2-3 weeks), and late-subacute (3 months) recovery phases. Materials and Methods This is a secondary analysis of a prospective single-site double-blinded sham-controlled study conducted in patients presenting to the emergency department with moderate TBI from November 2015 to July 2019. Participants were randomized for LLLT and sham treatment. The primary outcome of the study was to assess structural connectivity, and RSFC was collected as the secondary outcome. MRI was used to measure RSFC in 82 brain regions in participants during the three recovery phases. Healthy individuals who did not receive treatment were imaged at a single time point to provide control values. The Pearson correlation coefficient was estimated to assess the connectivity strength for each brain region pair, and estimates of the differences in Fisher z-transformed correlation coefficients (hereafter, z differences) were compared between recovery phases and treatment groups using a linear mixed-effects regression model. These analyses were repeated for all brain region pairs. False discovery rate (FDR)-adjusted P values were computed to account for multiple comparisons. Quantile mixed-effects models were constructed to quantify the association between the Rivermead Postconcussion Symptoms Questionnaire (RPQ) score, recovery phase, and treatment group. Results RSFC was evaluated in 17 LLLT-treated participants (median age, 50 years [IQR, 25-67 years]; nine female), 21 sham-treated participants (median age, 50 years [IQR, 43-59 years]; 11 female), and 23 healthy control participants (median age, 42 years [IQR, 32-54 years]; 13 male). Seven brain region pairs exhibited a greater change in connectivity in LLLT-treated participants than in sham-treated participants between the acute and subacute phases (range of z differences, 0.37 [95% CI: 0.20, 0.53] to 0.45 [95% CI: 0.24, 0.67]; FDR-adjusted P value range, .010-.047). Thirteen different brain region pairs showed an increase in connectivity in sham-treated participants between the subacute and late-subacute phases (range of z differences, 0.17 [95% CI: 0.09, 0.25] to 0.26 [95% CI: 0.14, 0.39]; FDR-adjusted P value range, .020-.047). There was no evidence of a difference in clinical outcomes between LLLT-treated and sham-treated participants (range of differences in medians, -3.54 [95% CI: -12.65, 5.57] to -0.59 [95% CI: -7.31, 8.49]; P value range, .44-.99), as measured according to RPQ scores. Conclusion Despite the small sample size, the change in RSFC from the acute to subacute phases of recovery was greater in LLLT-treated than sham-treated participants, suggesting that acute-phase LLLT may have an impact on resting-state neuronal circuits in the early recovery phase of moderate TBI. ClinicalTrials.gov Identifier: NCT02233413 © RSNA, 2024 Supplemental material is available for this article.
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Affiliation(s)
| | | | - Maria G. Figueiro Longo
- From the Athinoula A. Martinos Center for Biomedical Imaging (S.T.C.,
E.M.R., K.K.K.), Department of Radiology (S.T.C., N.M., M.G.F.L., A.A., M.H.L.,
E.M.R., K.K.K., R.G.), Wellman Center for Photomedicine (L.D., R.R.A., M.H.,
B.J.V.), Department of Emergency Medicine (J.L., B.A.P.), and Department of
Surgery (J.L.), Massachusetts General Hospital, 55 Fruit St, Boston, MA 02129;
Department of Anesthesiology and Perioperative Care, University of California
Irvine, Orange, Calif (J.W.); Department of Radiology, Yale School of Medicine,
New Haven, Conn (A.A.); Neuroscience Institute, Huck Institutes of the Life
Sciences, Pennsylvania State University, State College, Pa (M.R.W.);
Pennsylvania State College of Medicine, Milton S. Hershey Medical Center,
Hershey, Pa (M.R.W.); Office of Secretary of Defense, Department of Defense,
Washington, DC (T.R.); and Department of Neurology, University of Pennsylvania,
Philadelphia, Pa (R.D.A.)
| | - Jonathan Welt
- From the Athinoula A. Martinos Center for Biomedical Imaging (S.T.C.,
E.M.R., K.K.K.), Department of Radiology (S.T.C., N.M., M.G.F.L., A.A., M.H.L.,
E.M.R., K.K.K., R.G.), Wellman Center for Photomedicine (L.D., R.R.A., M.H.,
B.J.V.), Department of Emergency Medicine (J.L., B.A.P.), and Department of
Surgery (J.L.), Massachusetts General Hospital, 55 Fruit St, Boston, MA 02129;
Department of Anesthesiology and Perioperative Care, University of California
Irvine, Orange, Calif (J.W.); Department of Radiology, Yale School of Medicine,
New Haven, Conn (A.A.); Neuroscience Institute, Huck Institutes of the Life
Sciences, Pennsylvania State University, State College, Pa (M.R.W.);
Pennsylvania State College of Medicine, Milton S. Hershey Medical Center,
Hershey, Pa (M.R.W.); Office of Secretary of Defense, Department of Defense,
Washington, DC (T.R.); and Department of Neurology, University of Pennsylvania,
Philadelphia, Pa (R.D.A.)
| | - Arman Avesta
- From the Athinoula A. Martinos Center for Biomedical Imaging (S.T.C.,
E.M.R., K.K.K.), Department of Radiology (S.T.C., N.M., M.G.F.L., A.A., M.H.L.,
E.M.R., K.K.K., R.G.), Wellman Center for Photomedicine (L.D., R.R.A., M.H.,
B.J.V.), Department of Emergency Medicine (J.L., B.A.P.), and Department of
Surgery (J.L.), Massachusetts General Hospital, 55 Fruit St, Boston, MA 02129;
Department of Anesthesiology and Perioperative Care, University of California
Irvine, Orange, Calif (J.W.); Department of Radiology, Yale School of Medicine,
New Haven, Conn (A.A.); Neuroscience Institute, Huck Institutes of the Life
Sciences, Pennsylvania State University, State College, Pa (M.R.W.);
Pennsylvania State College of Medicine, Milton S. Hershey Medical Center,
Hershey, Pa (M.R.W.); Office of Secretary of Defense, Department of Defense,
Washington, DC (T.R.); and Department of Neurology, University of Pennsylvania,
Philadelphia, Pa (R.D.A.)
| | - Jarone Lee
- From the Athinoula A. Martinos Center for Biomedical Imaging (S.T.C.,
E.M.R., K.K.K.), Department of Radiology (S.T.C., N.M., M.G.F.L., A.A., M.H.L.,
E.M.R., K.K.K., R.G.), Wellman Center for Photomedicine (L.D., R.R.A., M.H.,
B.J.V.), Department of Emergency Medicine (J.L., B.A.P.), and Department of
Surgery (J.L.), Massachusetts General Hospital, 55 Fruit St, Boston, MA 02129;
Department of Anesthesiology and Perioperative Care, University of California
Irvine, Orange, Calif (J.W.); Department of Radiology, Yale School of Medicine,
New Haven, Conn (A.A.); Neuroscience Institute, Huck Institutes of the Life
Sciences, Pennsylvania State University, State College, Pa (M.R.W.);
Pennsylvania State College of Medicine, Milton S. Hershey Medical Center,
Hershey, Pa (M.R.W.); Office of Secretary of Defense, Department of Defense,
Washington, DC (T.R.); and Department of Neurology, University of Pennsylvania,
Philadelphia, Pa (R.D.A.)
| | - Michael H. Lev
- From the Athinoula A. Martinos Center for Biomedical Imaging (S.T.C.,
E.M.R., K.K.K.), Department of Radiology (S.T.C., N.M., M.G.F.L., A.A., M.H.L.,
E.M.R., K.K.K., R.G.), Wellman Center for Photomedicine (L.D., R.R.A., M.H.,
B.J.V.), Department of Emergency Medicine (J.L., B.A.P.), and Department of
Surgery (J.L.), Massachusetts General Hospital, 55 Fruit St, Boston, MA 02129;
Department of Anesthesiology and Perioperative Care, University of California
Irvine, Orange, Calif (J.W.); Department of Radiology, Yale School of Medicine,
New Haven, Conn (A.A.); Neuroscience Institute, Huck Institutes of the Life
Sciences, Pennsylvania State University, State College, Pa (M.R.W.);
Pennsylvania State College of Medicine, Milton S. Hershey Medical Center,
Hershey, Pa (M.R.W.); Office of Secretary of Defense, Department of Defense,
Washington, DC (T.R.); and Department of Neurology, University of Pennsylvania,
Philadelphia, Pa (R.D.A.)
| | - Eva-Maria Ratai
- From the Athinoula A. Martinos Center for Biomedical Imaging (S.T.C.,
E.M.R., K.K.K.), Department of Radiology (S.T.C., N.M., M.G.F.L., A.A., M.H.L.,
E.M.R., K.K.K., R.G.), Wellman Center for Photomedicine (L.D., R.R.A., M.H.,
B.J.V.), Department of Emergency Medicine (J.L., B.A.P.), and Department of
Surgery (J.L.), Massachusetts General Hospital, 55 Fruit St, Boston, MA 02129;
Department of Anesthesiology and Perioperative Care, University of California
Irvine, Orange, Calif (J.W.); Department of Radiology, Yale School of Medicine,
New Haven, Conn (A.A.); Neuroscience Institute, Huck Institutes of the Life
Sciences, Pennsylvania State University, State College, Pa (M.R.W.);
Pennsylvania State College of Medicine, Milton S. Hershey Medical Center,
Hershey, Pa (M.R.W.); Office of Secretary of Defense, Department of Defense,
Washington, DC (T.R.); and Department of Neurology, University of Pennsylvania,
Philadelphia, Pa (R.D.A.)
| | - Michael R. Wenke
- From the Athinoula A. Martinos Center for Biomedical Imaging (S.T.C.,
E.M.R., K.K.K.), Department of Radiology (S.T.C., N.M., M.G.F.L., A.A., M.H.L.,
E.M.R., K.K.K., R.G.), Wellman Center for Photomedicine (L.D., R.R.A., M.H.,
B.J.V.), Department of Emergency Medicine (J.L., B.A.P.), and Department of
Surgery (J.L.), Massachusetts General Hospital, 55 Fruit St, Boston, MA 02129;
Department of Anesthesiology and Perioperative Care, University of California
Irvine, Orange, Calif (J.W.); Department of Radiology, Yale School of Medicine,
New Haven, Conn (A.A.); Neuroscience Institute, Huck Institutes of the Life
Sciences, Pennsylvania State University, State College, Pa (M.R.W.);
Pennsylvania State College of Medicine, Milton S. Hershey Medical Center,
Hershey, Pa (M.R.W.); Office of Secretary of Defense, Department of Defense,
Washington, DC (T.R.); and Department of Neurology, University of Pennsylvania,
Philadelphia, Pa (R.D.A.)
| | - Blair A. Parry
- From the Athinoula A. Martinos Center for Biomedical Imaging (S.T.C.,
E.M.R., K.K.K.), Department of Radiology (S.T.C., N.M., M.G.F.L., A.A., M.H.L.,
E.M.R., K.K.K., R.G.), Wellman Center for Photomedicine (L.D., R.R.A., M.H.,
B.J.V.), Department of Emergency Medicine (J.L., B.A.P.), and Department of
Surgery (J.L.), Massachusetts General Hospital, 55 Fruit St, Boston, MA 02129;
Department of Anesthesiology and Perioperative Care, University of California
Irvine, Orange, Calif (J.W.); Department of Radiology, Yale School of Medicine,
New Haven, Conn (A.A.); Neuroscience Institute, Huck Institutes of the Life
Sciences, Pennsylvania State University, State College, Pa (M.R.W.);
Pennsylvania State College of Medicine, Milton S. Hershey Medical Center,
Hershey, Pa (M.R.W.); Office of Secretary of Defense, Department of Defense,
Washington, DC (T.R.); and Department of Neurology, University of Pennsylvania,
Philadelphia, Pa (R.D.A.)
| | - Lynn Drake
- From the Athinoula A. Martinos Center for Biomedical Imaging (S.T.C.,
E.M.R., K.K.K.), Department of Radiology (S.T.C., N.M., M.G.F.L., A.A., M.H.L.,
E.M.R., K.K.K., R.G.), Wellman Center for Photomedicine (L.D., R.R.A., M.H.,
B.J.V.), Department of Emergency Medicine (J.L., B.A.P.), and Department of
Surgery (J.L.), Massachusetts General Hospital, 55 Fruit St, Boston, MA 02129;
Department of Anesthesiology and Perioperative Care, University of California
Irvine, Orange, Calif (J.W.); Department of Radiology, Yale School of Medicine,
New Haven, Conn (A.A.); Neuroscience Institute, Huck Institutes of the Life
Sciences, Pennsylvania State University, State College, Pa (M.R.W.);
Pennsylvania State College of Medicine, Milton S. Hershey Medical Center,
Hershey, Pa (M.R.W.); Office of Secretary of Defense, Department of Defense,
Washington, DC (T.R.); and Department of Neurology, University of Pennsylvania,
Philadelphia, Pa (R.D.A.)
| | - Richard R. Anderson
- From the Athinoula A. Martinos Center for Biomedical Imaging (S.T.C.,
E.M.R., K.K.K.), Department of Radiology (S.T.C., N.M., M.G.F.L., A.A., M.H.L.,
E.M.R., K.K.K., R.G.), Wellman Center for Photomedicine (L.D., R.R.A., M.H.,
B.J.V.), Department of Emergency Medicine (J.L., B.A.P.), and Department of
Surgery (J.L.), Massachusetts General Hospital, 55 Fruit St, Boston, MA 02129;
Department of Anesthesiology and Perioperative Care, University of California
Irvine, Orange, Calif (J.W.); Department of Radiology, Yale School of Medicine,
New Haven, Conn (A.A.); Neuroscience Institute, Huck Institutes of the Life
Sciences, Pennsylvania State University, State College, Pa (M.R.W.);
Pennsylvania State College of Medicine, Milton S. Hershey Medical Center,
Hershey, Pa (M.R.W.); Office of Secretary of Defense, Department of Defense,
Washington, DC (T.R.); and Department of Neurology, University of Pennsylvania,
Philadelphia, Pa (R.D.A.)
| | - Terry Rauch
- From the Athinoula A. Martinos Center for Biomedical Imaging (S.T.C.,
E.M.R., K.K.K.), Department of Radiology (S.T.C., N.M., M.G.F.L., A.A., M.H.L.,
E.M.R., K.K.K., R.G.), Wellman Center for Photomedicine (L.D., R.R.A., M.H.,
B.J.V.), Department of Emergency Medicine (J.L., B.A.P.), and Department of
Surgery (J.L.), Massachusetts General Hospital, 55 Fruit St, Boston, MA 02129;
Department of Anesthesiology and Perioperative Care, University of California
Irvine, Orange, Calif (J.W.); Department of Radiology, Yale School of Medicine,
New Haven, Conn (A.A.); Neuroscience Institute, Huck Institutes of the Life
Sciences, Pennsylvania State University, State College, Pa (M.R.W.);
Pennsylvania State College of Medicine, Milton S. Hershey Medical Center,
Hershey, Pa (M.R.W.); Office of Secretary of Defense, Department of Defense,
Washington, DC (T.R.); and Department of Neurology, University of Pennsylvania,
Philadelphia, Pa (R.D.A.)
| | - Ramon Diaz-Arrastia
- From the Athinoula A. Martinos Center for Biomedical Imaging (S.T.C.,
E.M.R., K.K.K.), Department of Radiology (S.T.C., N.M., M.G.F.L., A.A., M.H.L.,
E.M.R., K.K.K., R.G.), Wellman Center for Photomedicine (L.D., R.R.A., M.H.,
B.J.V.), Department of Emergency Medicine (J.L., B.A.P.), and Department of
Surgery (J.L.), Massachusetts General Hospital, 55 Fruit St, Boston, MA 02129;
Department of Anesthesiology and Perioperative Care, University of California
Irvine, Orange, Calif (J.W.); Department of Radiology, Yale School of Medicine,
New Haven, Conn (A.A.); Neuroscience Institute, Huck Institutes of the Life
Sciences, Pennsylvania State University, State College, Pa (M.R.W.);
Pennsylvania State College of Medicine, Milton S. Hershey Medical Center,
Hershey, Pa (M.R.W.); Office of Secretary of Defense, Department of Defense,
Washington, DC (T.R.); and Department of Neurology, University of Pennsylvania,
Philadelphia, Pa (R.D.A.)
| | - Kenneth K. Kwong
- From the Athinoula A. Martinos Center for Biomedical Imaging (S.T.C.,
E.M.R., K.K.K.), Department of Radiology (S.T.C., N.M., M.G.F.L., A.A., M.H.L.,
E.M.R., K.K.K., R.G.), Wellman Center for Photomedicine (L.D., R.R.A., M.H.,
B.J.V.), Department of Emergency Medicine (J.L., B.A.P.), and Department of
Surgery (J.L.), Massachusetts General Hospital, 55 Fruit St, Boston, MA 02129;
Department of Anesthesiology and Perioperative Care, University of California
Irvine, Orange, Calif (J.W.); Department of Radiology, Yale School of Medicine,
New Haven, Conn (A.A.); Neuroscience Institute, Huck Institutes of the Life
Sciences, Pennsylvania State University, State College, Pa (M.R.W.);
Pennsylvania State College of Medicine, Milton S. Hershey Medical Center,
Hershey, Pa (M.R.W.); Office of Secretary of Defense, Department of Defense,
Washington, DC (T.R.); and Department of Neurology, University of Pennsylvania,
Philadelphia, Pa (R.D.A.)
| | - Michael Hamblin
- From the Athinoula A. Martinos Center for Biomedical Imaging (S.T.C.,
E.M.R., K.K.K.), Department of Radiology (S.T.C., N.M., M.G.F.L., A.A., M.H.L.,
E.M.R., K.K.K., R.G.), Wellman Center for Photomedicine (L.D., R.R.A., M.H.,
B.J.V.), Department of Emergency Medicine (J.L., B.A.P.), and Department of
Surgery (J.L.), Massachusetts General Hospital, 55 Fruit St, Boston, MA 02129;
Department of Anesthesiology and Perioperative Care, University of California
Irvine, Orange, Calif (J.W.); Department of Radiology, Yale School of Medicine,
New Haven, Conn (A.A.); Neuroscience Institute, Huck Institutes of the Life
Sciences, Pennsylvania State University, State College, Pa (M.R.W.);
Pennsylvania State College of Medicine, Milton S. Hershey Medical Center,
Hershey, Pa (M.R.W.); Office of Secretary of Defense, Department of Defense,
Washington, DC (T.R.); and Department of Neurology, University of Pennsylvania,
Philadelphia, Pa (R.D.A.)
| | | | | | - Ariane Panzer
- From the Athinoula A. Martinos Center for Biomedical Imaging (S.T.C.,
E.M.R., K.K.K.), Department of Radiology (S.T.C., N.M., M.G.F.L., A.A., M.H.L.,
E.M.R., K.K.K., R.G.), Wellman Center for Photomedicine (L.D., R.R.A., M.H.,
B.J.V.), Department of Emergency Medicine (J.L., B.A.P.), and Department of
Surgery (J.L.), Massachusetts General Hospital, 55 Fruit St, Boston, MA 02129;
Department of Anesthesiology and Perioperative Care, University of California
Irvine, Orange, Calif (J.W.); Department of Radiology, Yale School of Medicine,
New Haven, Conn (A.A.); Neuroscience Institute, Huck Institutes of the Life
Sciences, Pennsylvania State University, State College, Pa (M.R.W.);
Pennsylvania State College of Medicine, Milton S. Hershey Medical Center,
Hershey, Pa (M.R.W.); Office of Secretary of Defense, Department of Defense,
Washington, DC (T.R.); and Department of Neurology, University of Pennsylvania,
Philadelphia, Pa (R.D.A.)
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4
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Xu CX, Kong L, Jiang H, Jiang Y, Sun YH, Bian LG, Feng Y, Sun QF. Analysis of brain structural covariance network in Cushing disease. Heliyon 2024; 10:e28957. [PMID: 38601682 PMCID: PMC11004566 DOI: 10.1016/j.heliyon.2024.e28957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 03/27/2024] [Accepted: 03/27/2024] [Indexed: 04/12/2024] Open
Abstract
Background Cushing disease (CD) is a rare clinical neuroendocrine disease. CD is characterized by abnormal hypercortisolism induced by a pituitary adenoma with the secretion of adrenocorticotropic hormone. Individuals with CD usually exhibit atrophy of gray matter volume. However, little is known about the alterations in topographical organization of individuals with CD. This study aimed to investigate the structural covariance networks of individuals with CD based on the gray matter volume using graph theory analysis. Methods High-resolution T1-weighted images of 61 individuals with CD and 53 healthy controls were obtained. Gray matter volume was estimated and the structural covariance network was analyzed using graph theory. Network properties such as hubs of all participants were calculated based on degree centrality. Results No significant differences were observed between individuals with CD and healthy controls in terms of age, gender, and education level. The small-world features were conserved in individuals with CD but were higher than those in healthy controls. The individuals with CD showed higher global efficiency and modularity, suggesting higher integration and segregation as compared to healthy controls. The hub nodes of the individuals with CD were Short insular gyri (G_insular_short_L), Anterior part of the cingulate gyrus and sulcus (G_and_S_cingul-Ant_R), and Superior frontal gyrus (G_front_sup_R). Conclusions Significant differences in the structural covariance network of patients with CD were found based on graph theory. These findings might help understanding the pathogenesis of individuals with CD and provide insight into the pathogenesis of this CD.
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Affiliation(s)
- Can-Xin Xu
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Linghan Kong
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
- Department of Radiology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Jiang
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yue Jiang
- Department of Neurosurgery, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, 453100, China
| | - Yu-Hao Sun
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Liu-Guan Bian
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yuan Feng
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
- Department of Radiology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai, China
| | - Qing-Fang Sun
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
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5
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Li J, Shu Y, Chen L, Wang B, Chen L, Zhan J, Kuang H, Xia G, Zhou F, Gong H, Zeng X. Disrupted topological organization of functional brain networks in traumatic axonal injury. Brain Imaging Behav 2024; 18:279-291. [PMID: 38044412 PMCID: PMC11156726 DOI: 10.1007/s11682-023-00832-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/20/2023] [Indexed: 12/05/2023]
Abstract
Traumatic axonal injury (TAI) may result in the disruption of brain functional networks and is strongly associated with cognitive impairment. However, the neural mechanisms affecting the neurocognitive function after TAI remain to be elucidated. We collected the resting-state functional magnetic resonance imaging data from 28 patients with TAI and 28 matched healthy controls. An automated anatomical labeling atlas was used to construct a functional brain connectome. We utilized a graph theoretical approach to investigate the alterations in global and regional network topologies, and network-based statistics analysis was utilized to localize the connected networks more precisely. The current study revealed that patients with TAI and healthy controls both showed a typical small-world topology of the functional brain networks. However, patients with TAI exhibited a significantly lower local efficiency compared to healthy controls, whereas no significant difference emerged in other small-world properties (Cp, Lp, γ, λ, and σ) and global efficiency. Moreover, patients with TAI exhibited aberrant nodal centralities in some regions, including the frontal lobes, parietal lobes, caudate nucleus, and cerebellum bilaterally, and right olfactory cortex. The network-based statistics results showed alterations in the long-distance functional connections in the subnetwork in patients with TAI, involving these brain regions with significantly altered nodal centralities. These alterations suggest that brain networks of individuals with TAI present aberrant topological attributes that are associated with cognitive impairment, which could be potential biomarkers for predicting cognitive dysfunction and help understanding the neuropathological mechanisms in patients with TAI.
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Affiliation(s)
- Jian Li
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi, China
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, China
| | - Yongqiang Shu
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi, China
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, China
| | - Liting Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Bo Wang
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi, China
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, China
| | - Linglong Chen
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi, China
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, China
| | - Jie Zhan
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi, China
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, China
| | - Hongmei Kuang
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi, China
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, China
| | - Guojin Xia
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi, China
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, China
| | - Fuqing Zhou
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi, China
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, China
| | - Honghan Gong
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi, China
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, China
| | - Xianjun Zeng
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi, China.
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, China.
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6
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Carr HR, Hall JE, Eisenbarth H, Brandt VC. The bidirectional relationship between head injuries and conduct problems: longitudinal modelling of a population-based birth cohort study. Eur Child Adolesc Psychiatry 2024; 33:411-420. [PMID: 36826528 PMCID: PMC10869410 DOI: 10.1007/s00787-023-02175-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 02/17/2023] [Indexed: 02/25/2023]
Abstract
Childhood head injuries and conduct problems increase the risk of aggression and criminality and are well-known correlates. However, the direction and timing of their association and the role of their demographic risk factors remain unclear. This study investigates the bidirectional links between both from 3 to 17 years while revealing common and unique demographic risks. A total of 8,603 participants (50.2% female; 83% White ethnicity) from the Millennium Cohort Study were analysed at 6 timepoints from age 3 to 17. Conduct problems were parent-reported for ages 3 to 17 using the Strengths and Difficulties Questionnaire (SDQ) and head injuries at ages 3 to 14. A cross-lagged path model estimated the longitudinal bidirectional effects between the two whilst salient demographic risks were modelled cumulatively at three ecological levels (child, mother, and household). Conduct problems at age 5 promoted head injuries between 5 and 7 (Z = 0.07; SE = 0.03; 95% CI, 0.02-0.13), and head injuries at ages 7 to 11 promoted conduct problems at age 14 (ß = .0.06; SE = .0.03; 95% CI, 0.01-0.12). Head injuries were associated with direct child-level risk at age 3, whereas conduct problems were associated with direct risks from all ecological levels until 17 years. The findings suggest a sensitive period at 5-11 years for the bidirectional relationship shared between head injuries and conduct problems. They suggest that demographic risks for increased head injuries play an earlier role than they do for conduct problems. Both findings have implications for intervention timing.
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Affiliation(s)
- Hannah R Carr
- School of Psychology, Centre for Innovation in Mental Health, University of Southampton, University Road, Highfield Campus, Building 44, Southampton, SO17 1PS, UK.
| | - James E Hall
- Southampton Education School, University of Southampton, Southampton, SO17 1BJ, UK
| | - Hedwig Eisenbarth
- School of Psychology, Victoria University of Wellington, Wellington, 6140, New Zealand
| | - Valerie C Brandt
- School of Psychology, Centre for Innovation in Mental Health, University of Southampton, University Road, Highfield Campus, Building 44, Southampton, SO17 1PS, UK
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7
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Symons GF, Gregg MC, Hicks AJ, Rowe CC, Shultz SR, Ponsford JL, Spitz G. Altered grey matter structural covariance in chronic moderate-severe traumatic brain injury. Sci Rep 2024; 14:1728. [PMID: 38242923 PMCID: PMC10799053 DOI: 10.1038/s41598-023-50396-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 12/19/2023] [Indexed: 01/21/2024] Open
Abstract
Traumatic brain injury (TBI) alters brain network connectivity. Structural covariance networks (SCNs) reflect morphological covariation between brain regions. SCNs may elucidate how altered brain network topology in TBI influences long-term outcomes. Here, we assessed whether SCN organisation is altered in individuals with chronic moderate-severe TBI (≥ 10 years post-injury) and associations with cognitive performance. This case-control study included fifty individuals with chronic moderate-severe TBI compared to 75 healthy controls recruited from an ongoing longitudinal head injury outcome study. SCNs were constructed using grey matter volume measurements from T1-weighted MRI images. Global and regional SCN organisation in relation to group membership and cognitive ability was examined using regression analyses. Globally, TBI participants had reduced small-worldness, longer characteristic path length, higher clustering, and higher modularity globally (p < 0.05). Regionally, TBI participants had greater betweenness centrality (p < 0.05) in frontal and central areas of the cortex. No significant associations were observed between global network measures and cognitive ability in participants with TBI (p > 0.05). Chronic moderate-severe TBI was associated with a shift towards a more segregated global network topology and altered organisation in frontal and central brain regions. There was no evidence that SCNs are associated with cognition.
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Affiliation(s)
- Georgia F Symons
- Department of Neuroscience, Monash University, 6th Floor, The Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia.
| | - Matthew C Gregg
- Monash-Epworth Rehabilitation Research Centre, Ground Floor, 185-187 Hoddle St, Richmond, 3121, Australia
| | - Amelia J Hicks
- Monash-Epworth Rehabilitation Research Centre, Ground Floor, 185-187 Hoddle St, Richmond, 3121, Australia
| | - Christopher C Rowe
- Department of Molecular Imaging and Therapy, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | - Sandy R Shultz
- Department of Neuroscience, Monash University, 6th Floor, The Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Health Sciences, Vancouver Island University, 900 Fifth Street, Nanaimo, BC, V9R 5S5, Canada
| | - Jennie L Ponsford
- Monash-Epworth Rehabilitation Research Centre, Ground Floor, 185-187 Hoddle St, Richmond, 3121, Australia
| | - Gershon Spitz
- Department of Neuroscience, Monash University, 6th Floor, The Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Monash-Epworth Rehabilitation Research Centre, Ground Floor, 185-187 Hoddle St, Richmond, 3121, Australia
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8
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Sultana T, Hasan MA, Kang X, Liou-Johnson V, Adamson MM, Razi A. Neural mechanisms of emotional health in traumatic brain injury patients undergoing rTMS treatment. Mol Psychiatry 2023; 28:5150-5158. [PMID: 37414927 DOI: 10.1038/s41380-023-02159-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 06/16/2023] [Accepted: 06/22/2023] [Indexed: 07/08/2023]
Abstract
Emotional dysregulation such as that seen in depression, are a long-term consequence of mild traumatic brain injury (TBI), that can be improved by using neuromodulation treatments such as repetitive transcranial magnetic stimulation (rTMS). Previous studies provide insights into the changes in functional connectivity related to general emotional health after the application of rTMS procedures in patients with TBI. However, these studies provide little understanding of the underlying neuronal mechanisms that drive the improvement of the emotional health in these patients. The current study focuses on inferring the effective (causal) connectivity changes and their association with emotional health, after rTMS treatment of cognitive problems in TBI patients (N = 32). Specifically, we used resting state functional magnetic resonance imaging (fMRI) together with spectral dynamic causal model (spDCM) to investigate changes in brain effective connectivity, before and after the application of high frequency (10 Hz) rTMS over left dorsolateral prefrontal cortex. We investigated the effective connectivity of the cortico-limbic network comprised of 11 regions of interest (ROIs) which are part of the default mode, salience, and executive control networks, known to be implicated in emotional processing. The results indicate that overall, among extrinsic connections, the strength of excitatory connections decreased while that of inhibitory connections increased after the neuromodulation. The cardinal region in the analysis was dorsal anterior cingulate cortex (dACC) which is considered to be the most influenced during emotional health disorders. Our findings implicate the altered connectivity of dACC with left anterior insula and medial prefrontal cortex, after the application of rTMS, as a potential neural mechanism underlying improvement of emotional health. Our investigation highlights the importance of these brain regions as treatment targets in emotional processing in TBI.
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Affiliation(s)
- Tajwar Sultana
- Department of Computer and Information Systems Engineering, NED University of Engineering & Technology, Karachi, 75270, Pakistan
- Department of Biomedical Engineering, NED University of Engineering & Technology, Karachi, 75270, Pakistan
- Neurocomputation Laboratory, National Centre of Artificial Intelligence, Peshawar, Pakistan
| | - Muhammad Abul Hasan
- Department of Biomedical Engineering, NED University of Engineering & Technology, Karachi, 75270, Pakistan
- Neurocomputation Laboratory, National Centre of Artificial Intelligence, Peshawar, Pakistan
| | - Xiaojian Kang
- WRIISC-WOMEN, VA Palo Alto Healthcare System, Palo Alto, CA, 94304, USA
- Rehabilitation Service, Veterans Affairs Palo Alto Healthcare System (VAPAHCS), 3801 Miranda Avenue, Palo Alto, CA, 94304, USA
| | - Victoria Liou-Johnson
- Rehabilitation Service, Veterans Affairs Palo Alto Healthcare System (VAPAHCS), 3801 Miranda Avenue, Palo Alto, CA, 94304, USA
- Clinical Excellence Research Center, Stanford University School of Medicine, Stanford, CA, 94304, USA
| | - Maheen Mausoof Adamson
- WRIISC-WOMEN, VA Palo Alto Healthcare System, Palo Alto, CA, 94304, USA
- Rehabilitation Service, Veterans Affairs Palo Alto Healthcare System (VAPAHCS), 3801 Miranda Avenue, Palo Alto, CA, 94304, USA
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, 94304, USA
| | - Adeel Razi
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC, 3800, Australia.
- Wellcome Centre for Human Neuroimaging, University College London, WC1N 3AR, London, United Kingdom.
- CIFAR Azrieli Global Scholars Program, CIFAR, Toronto, ON, Canada.
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9
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Siviero I, Bonfanti D, Menegaz G, Savazzi S, Mazzi C, Storti SF. Graph Analysis of TMS-EEG Connectivity Reveals Hemispheric Differences following Occipital Stimulation. SENSORS (BASEL, SWITZERLAND) 2023; 23:8833. [PMID: 37960532 PMCID: PMC10650175 DOI: 10.3390/s23218833] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 10/23/2023] [Accepted: 10/28/2023] [Indexed: 11/15/2023]
Abstract
(1) Background: Transcranial magnetic stimulation combined with electroencephalography (TMS-EEG) provides a unique opportunity to investigate brain connectivity. However, possible hemispheric asymmetries in signal propagation dynamics following occipital TMS have not been investigated. (2) Methods: Eighteen healthy participants underwent occipital single-pulse TMS at two different EEG sites, corresponding to early visual areas. We used a state-of-the-art Bayesian estimation approach to accurately estimate TMS-evoked potentials (TEPs) from EEG data, which has not been previously used in this context. To capture the rapid dynamics of information flow patterns, we implemented a self-tuning optimized Kalman (STOK) filter in conjunction with the information partial directed coherence (iPDC) measure, enabling us to derive time-varying connectivity matrices. Subsequently, graph analysis was conducted to assess key network properties, providing insight into the overall network organization of the brain network. (3) Results: Our findings revealed distinct lateralized effects on effective brain connectivity and graph networks after TMS stimulation, with left stimulation facilitating enhanced communication between contralateral frontal regions and right stimulation promoting increased intra-hemispheric ipsilateral connectivity, as evidenced by statistical test (p < 0.001). (4) Conclusions: The identified hemispheric differences in terms of connectivity provide novel insights into brain networks involved in visual information processing, revealing the hemispheric specificity of neural responses to occipital stimulation.
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Affiliation(s)
- Ilaria Siviero
- Department of Computer Science, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy;
| | - Davide Bonfanti
- Perception and Awareness (PandA) Lab., Department of Neuroscience, Biomedicine and Movement Science, University of Verona, Piazzale Ludovico Antonio Scuro 10, 37124 Verona, Italy; (D.B.); (S.S.); (C.M.)
| | - Gloria Menegaz
- Department of Engineering for Innovation Medicine, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy;
| | - Silvia Savazzi
- Perception and Awareness (PandA) Lab., Department of Neuroscience, Biomedicine and Movement Science, University of Verona, Piazzale Ludovico Antonio Scuro 10, 37124 Verona, Italy; (D.B.); (S.S.); (C.M.)
| | - Chiara Mazzi
- Perception and Awareness (PandA) Lab., Department of Neuroscience, Biomedicine and Movement Science, University of Verona, Piazzale Ludovico Antonio Scuro 10, 37124 Verona, Italy; (D.B.); (S.S.); (C.M.)
| | - Silvia Francesca Storti
- Department of Engineering for Innovation Medicine, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy;
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10
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Zhao K, Liu M, Yang F, Shu X, Sun G, Liu R, Zhao Y, Wang F, Xu B. Reorganization of the structural connectome during vision recovery in pituitary adenoma patients post-transsphenoidal surgery. Cereb Cortex 2023; 33:10813-10819. [PMID: 37702246 DOI: 10.1093/cercor/bhad326] [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: 07/20/2023] [Revised: 08/21/2023] [Accepted: 08/22/2023] [Indexed: 09/14/2023] Open
Abstract
Pituitary adenomas (PAs) can exert pressure on the optic apparatus, leading to visual impairment. A subset of patients may observe a swift improvement in their vision following surgery. Nevertheless, the alterations in the structural connectome during the early postoperative period remain largely unexplored. The research employed probabilistic tractography, graph theoretical analysis, and statistical methods on preoperative and postoperative structural magnetic resonance imaging and diffusion tensor images from 13 PA patients. Postoperative analysis revealed an increase in global and local efficiency, signifying improved network capacity for parallel information transfer and fault tolerance, respectively. Enhanced clustering coefficient and reduced shortest path length were also observed, suggesting a more regular network organization and shortened communication steps within the brain network. Furthermore, alterations in node graphical properties were detected, implying a restructuring of the network's control points, possibly contributing to more efficient visual processing. These findings propose that rapid vision recovery post-surgery may be associated with significant reorganization of the brain's structural connectome, enhancing the efficiency and adaptability of the network, thereby facilitating improved visual processing.
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Affiliation(s)
- Kai Zhao
- Department of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Minghang Liu
- Department of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Fuxing Yang
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian 362002, China
| | - Xujun Shu
- Department of Neurosurgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province 210016, China
| | - Guochen Sun
- Department of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Ruoyu Liu
- Department of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Yue Zhao
- Department of Emergency Medicine, Hainan hospital of Chinese PLA General Hospital, Sanya, Hainan 572013, China
| | - Fuyu Wang
- Department of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Bainan Xu
- Department of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
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11
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Sabiniewicz A, Lindner KK, Haehner A, Hummel T. Depression Severity Is Different in Dysosmic Patients Who Have Experienced Traumatic Brain Injury Compared with Those Who Have Not. Neurol Int 2023; 15:638-648. [PMID: 37218979 DOI: 10.3390/neurolint15020040] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/09/2023] [Accepted: 05/10/2023] [Indexed: 05/24/2023] Open
Abstract
Traumatic brain injury (TBI) in humans can result in olfactory, cognitive, and affective changes. Surprisingly, research on the consequences of TBI often did not control for olfactory function in the investigated groups. Consequently, the affective or cognitive differences might be misleading as related rather to different olfactory performance than to a TBI experience. Hence, our study aimed to investigate whether TBI occurrence would lead to altered affective and cognitive functioning in two groups of dysosmic patients, one with TBI experience and one without. In total, 51 patients with TBI experience and 50 controls with varied causes of olfactory loss were thoroughly examined in terms of olfactory, cognitive, and affective performance. Student t-tests demonstrated that the only significant difference between the groups appeared in the depression severity, with TBI patients being more depressed (t = 2.3, p = 0.011, Cohen's d = -0.47). Regression analyses further showed that TBI experience was significantly associated with depression severity (R2 = 0.05, F [1, 96] = 5.5, p = 0.021, beta = 1.4). In conclusion, the present study showed that TBI experience is linked to depression, which is more pronounced compared to individuals with olfactory loss without TBI.
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Affiliation(s)
- Agnieszka Sabiniewicz
- Smell & Taste Clinic, Department of Otorhinolaryngology, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
- Institute of Psychology, University of Wrocław, 50-527 Wrocław, Poland
| | - Kyri-Kristin Lindner
- Smell & Taste Clinic, Department of Otorhinolaryngology, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
| | - Antje Haehner
- Smell & Taste Clinic, Department of Otorhinolaryngology, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
| | - Thomas Hummel
- Smell & Taste Clinic, Department of Otorhinolaryngology, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
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12
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Dennis EL, Keleher F, Tate DF, Wilde EA. The Role of Neuroimaging in Evolving TBI Research and Clinical Practice. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.24.23286258. [PMID: 36865222 PMCID: PMC9980266 DOI: 10.1101/2023.02.24.23286258] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2023]
Abstract
Neuroimaging technologies such as computed tomography (CT) and magnetic resonance imaging (MRI) have been widely adopted in the clinical diagnosis and management of traumatic brain injury (TBI), particularly at the more acute and severe levels of injury. Additionally, a number of advanced applications of MRI have been employed in TBI-related clinical research with great promise, and researchers have used these techniques to better understand underlying mechanisms, progression of secondary injury and tissue perturbation over time, and relation of focal and diffuse injury to later outcome. However, the acquisition and analysis time, the cost of these and other imaging modalities, and the need for specialized expertise have represented historical barriers in extending these tools in clinical practice. While group studies are important in detecting patterns, heterogeneity among patient presentation and limited sample sizes from which to compare individual level data to well-developed normative data have also played a role in the limited translatability of imaging to wider clinical application. Fortunately, the field of TBI has benefitted from increased public and scientific awareness of the prevalence and impact of TBI, particularly in head injury related to recent military conflicts and sport-related concussion. This awareness parallels an increase in federal funding in the United States and other countries allocated to investigation in these areas. In this article we summarize funding and publication trends since the mainstream adoption of imaging in TBI to elucidate evolving trends and priorities in the application of different techniques and patient populations. We also review recent and ongoing efforts to advance the field through promoting reproducibility, data sharing, big data analytic methods, and team science. Finally, we discuss international collaborative efforts to combine and harmonize neuroimaging, cognitive, and clinical data, both prospectively and retrospectively. Each of these represent unique, but related, efforts that facilitate closing gaps between the use of advanced imaging solely as a research tool and the use of it in clinical diagnosis, prognosis, and treatment planning and monitoring.
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Affiliation(s)
- Emily L Dennis
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT
| | - Finian Keleher
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT
| | - David F Tate
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT
| | - Elisabeth A Wilde
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT
- Baylor College of Medicine, Houston, TX
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13
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Imms P, Clemente A, Deutscher E, Radwan AM, Akhlaghi H, Beech P, Wilson PH, Irimia A, Poudel G, Domínguez Duque JF, Caeyenberghs K. Exploring personalized structural connectomics for moderate to severe traumatic brain injury. Netw Neurosci 2023; 7:160-183. [PMID: 37334004 PMCID: PMC10270710 DOI: 10.1162/netn_a_00277] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 09/06/2022] [Indexed: 10/03/2023] Open
Abstract
Graph theoretical analysis of the structural connectome has been employed successfully to characterize brain network alterations in patients with traumatic brain injury (TBI). However, heterogeneity in neuropathology is a well-known issue in the TBI population, such that group comparisons of patients against controls are confounded by within-group variability. Recently, novel single-subject profiling approaches have been developed to capture inter-patient heterogeneity. We present a personalized connectomics approach that examines structural brain alterations in five chronic patients with moderate to severe TBI who underwent anatomical and diffusion magnetic resonance imaging. We generated individualized profiles of lesion characteristics and network measures (including personalized graph metric GraphMe plots, and nodal and edge-based brain network alterations) and compared them against healthy reference cases (N = 12) to assess brain damage qualitatively and quantitatively at the individual level. Our findings revealed alterations of brain networks with high variability between patients. With validation and comparison to stratified, normative healthy control comparison cohorts, this approach could be used by clinicians to formulate a neuroscience-guided integrative rehabilitation program for TBI patients, and for designing personalized rehabilitation protocols based on their unique lesion load and connectome.
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Affiliation(s)
- Phoebe Imms
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Adam Clemente
- Healthy Brain and Mind Research Centre, School of Behavioural, Health, and Human Sciences, Faculty of Health Sciences, Australian Catholic University, Fitzroy, Victoria, Australia
| | - Evelyn Deutscher
- Cognitive Neuroscience Unit, School of Psychology, Faculty of Health, Deakin University, Burwood, Victoria, Australia
| | - Ahmed M. Radwan
- KU Leuven, Department of Imaging and Pathology, Translational MRI, Leuven, Belgium
| | - Hamed Akhlaghi
- Emergency Department, St. Vincent’s Hospital (Melbourne), Faculty of Health, Deakin University, Melbourne, Victoria, Australia
| | - Paul Beech
- Department of Radiology and Nuclear Medicine, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Peter H. Wilson
- Healthy Brain and Mind Research Centre, School of Behavioural, Health, and Human Sciences, Faculty of Health Sciences, Australian Catholic University, Fitzroy, Victoria, Australia
| | - Andrei Irimia
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
- Corwin D. Denney Research Center, Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
- Department of Quantitative and Computational Biology, Dana and David Dornsife College of Arts and Sciences, University of Southern California, Los Angeles, CA, USA
| | - Govinda Poudel
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - Juan F. Domínguez Duque
- Cognitive Neuroscience Unit, School of Psychology, Faculty of Health, Deakin University, Burwood, Victoria, Australia
| | - Karen Caeyenberghs
- Cognitive Neuroscience Unit, School of Psychology, Faculty of Health, Deakin University, Burwood, Victoria, Australia
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14
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Adegoke MA, Teter O, Meaney DF. Flexibility of in vitro cortical circuits influences resilience from microtrauma. Front Cell Neurosci 2022; 16:991740. [PMID: 36589287 PMCID: PMC9803265 DOI: 10.3389/fncel.2022.991740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 11/28/2022] [Indexed: 12/23/2022] Open
Abstract
Background Small clusters comprising hundreds to thousands of neurons are an important level of brain architecture that correlates single neuronal properties to fulfill brain function, but the specific mechanisms through which this scaling occurs are not well understood. In this study, we developed an in vitro experimental platform of small neuronal circuits (islands) to probe the importance of structural properties for their development, physiology, and response to microtrauma. Methods Primary cortical neurons were plated on a substrate patterned to promote attachment in clusters of hundreds of cells (islands), transduced with GCaMP6f, allowed to mature until 10-13 days in vitro (DIV), and monitored with Ca2+ as a non-invasive proxy for electrical activity. We adjusted two structural factors-island size and cellular density-to evaluate their role in guiding spontaneous activity and network formation in neuronal islands. Results We found cellular density, but not island size, regulates of circuit activity and network function in this system. Low cellular density islands can achieve many states of activity, while high cellular density biases islands towards a limited regime characterized by low rates of activity and high synchronization, a property we summarized as "flexibility." The injury severity required for an island to lose activity in 50% of its population was significantly higher in low-density, high flexibility islands. Conclusion Together, these studies demonstrate flexible living cortical circuits are more resilient to microtrauma, providing the first evidence that initial circuit state may be a key factor to consider when evaluating the consequences of trauma to the cortex.
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Affiliation(s)
- Modupe A. Adegoke
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, United States
| | - Olivia Teter
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, United States
| | - David F. Meaney
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, United States,Department of Neurosurgery, Penn Center for Brain Injury and Repair, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States,*Correspondence: David F. Meaney,
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15
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Liu J, Wang W, Wang Y, Liu M, Liu D, Li R, Cai C, Sun L, Gao Q, Li H. Structural network alterations induced by ART-naive and ART-treated subjects infected with HIV. Biochem Biophys Res Commun 2022; 622:115-121. [PMID: 35849952 DOI: 10.1016/j.bbrc.2022.06.078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 05/20/2022] [Accepted: 06/23/2022] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate how the structural connectivity altered in combined antiretroviral therapy-treated (cART+) HIV patients and cART-naive (cART-) HIV patients by conducting Network analysis of Diffusion Tensor Imaging (DTI) data. METHODS We enrolled 22 cART-, 23 cART+ and 28 normal controls (NC) in our current study. Firstly, the DTI imaging data pre-processing was conducted and the asymmetric 90 × 90 matrix for each participant from their DTI data was obtained with the use of PANDA. Then, we applied a graph-theoretical network analysis toolkit, GRETNA v2.0, to calculate metrics such as small-"worldness," characteristic path length, clustering coefficient, global efficiency, local efficiency, and nodal "betweenness". Finally, we took comparisons among the three groups to investigate topological alterations. RESULTS Results (1) the regional characteristics (nodal efficiency) were altered in cART- and cART+ patients predominantly in the frontal cortical regions; (2) changes in various network properties in cART+treat and cART-patients were associated with the performance of behavior functions; (3) Hubs redistributed in HIV subjects especially in cART+ patients. CONCLUSION The regional characteristics (nodal efficiency) were altered in cART- and cART+ patients predominantly in the frontal cortical region, and changes in various network properties in cART- and cART+ patients were associated with the performance of behavior functions. In addition, Hubs redistributed in HIV subjects especially in cART+ patients.
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Affiliation(s)
- Jiaojiao Liu
- Beijign Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Wei Wang
- Beijign Youan Hospital, Capital Medical University, Beijing, 100069, China
| | | | | | - Dan Liu
- Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200000, China
| | - Ruili Li
- Beijing Xuanwu Hospital, Capital Medical University, Beijing, 100000, China
| | - Chao Cai
- Beijign Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Lijun Sun
- Beijign Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Quansheng Gao
- Institute of Environmental Medicine and Occupational Medicine, Academy of Military Medical Sciences, Tianjin, 300050, China.
| | - Hongjun Li
- Beijign Youan Hospital, Capital Medical University, Beijing, 100069, China.
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16
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Chai WJ, Abd Hamid AI, Omar H, Abdul Rahman MR, Fitzrol DN, Idris Z, Ghani ARI, Wan Mohamad WNA, Mustafar F, Hanafi MH, Kandasamy R, Abdullah MZ, Amaruchkul K, Valdes-Sosa PA, Bringas-Vega ML, Biswal B, Songsiri J, Yaacob H, Ibrahim H, Sumari P, Noh NA, Musa KI, Ahmad AH, Azman A, Jamir Singh PS, Othman A, Abdullah JM. Neural alterations in working memory of mild-moderate TBI: An fMRI study in Malaysia. J Neurosci Res 2022; 100:915-932. [PMID: 35194817 DOI: 10.1002/jnr.25023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 10/10/2021] [Accepted: 12/31/2021] [Indexed: 02/05/2023]
Abstract
Working memory (WM) encompasses crucial cognitive processes or abilities to retain and manipulate temporary information for immediate execution of complex cognitive tasks in daily functioning such as reasoning and decision-making. The WM of individuals sustaining traumatic brain injury (TBI) was commonly compromised, especially in the domain of WM. The current study investigated the brain responses of WM in a group of participants with mild-moderate TBI compared to their healthy counterparts employing functional magnetic resonance imaging. All consented participants (healthy: n = 26 and TBI: n = 15) performed two variations of the n-back WM task with four load conditions (0-, 1-, 2-, and 3-back). The respective within-group effects showed a right hemisphere-dominance activation and slower reaction in performance for the TBI group. Random-effects analysis revealed activation difference between the two groups in the right occipital lobe in the guided n-back with cues, and in the bilateral occipital lobe, superior parietal region, and cingulate cortices in the n-back without cues. The left middle frontal gyrus was implicated in the load-dependent processing of WM in both groups. Further group analysis identified that the notable activation changes in the frontal gyri and anterior cingulate cortex are according to low and high loads. Though relatively smaller in scale, this study was eminent as it clarified the neural alterations in WM in the mild-moderate TBI group compared to healthy controls. It confirmed the robustness of the phenomenon in TBI with the reproducibility of the results in a heterogeneous non-Western sample.
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Affiliation(s)
- Wen Jia Chai
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Aini Ismafairus Abd Hamid
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Hazim Omar
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Muhammad Riddha Abdul Rahman
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,School of Medical Imaging, Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Kuala Nerus, Malaysia
| | - Diana Noma Fitzrol
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Zamzuri Idris
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Abdul Rahman Izaini Ghani
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Wan Nor Azlen Wan Mohamad
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Faiz Mustafar
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Muhammad Hafiz Hanafi
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | | | - Mohd Zaid Abdullah
- School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia
| | - Kannapha Amaruchkul
- Graduate School of Applied Statistics, National Institute of Development Administration (NIDA), Bangkok, Thailand
| | - Pedro A Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,The Cuban Neurosciences Center, La Habana, Cuba
| | - Maria L Bringas-Vega
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,The Cuban Neurosciences Center, La Habana, Cuba
| | - Bharat Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA
| | - Jitkomut Songsiri
- EE410 Control Systems Laboratory, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand
| | - Hamwira Yaacob
- Department of Computer Science, Kulliyyah of Information and Communication Technology, Kuala Lumpur, International Islamic University Malaysia, Kuala Lumpur, Malaysia
| | - Haidi Ibrahim
- Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia
| | - Putra Sumari
- School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia
| | - Nor Azila Noh
- Department of Medical Science 1, Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, Nilai, Malaysia
| | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Asma Hayati Ahmad
- Department of Physiology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Azlinda Azman
- School of Medical Imaging, Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Kuala Nerus, Malaysia.,School of Social Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia
| | | | - Azizah Othman
- Department of Psychiatry, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Jafri Malin Abdullah
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
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17
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Yuan W, Diekfuss JA, Barber Foss KD, Dudley JA, Leach JL, Narad ME, DiCesare CA, Bonnette S, Epstein JN, Logan K, Altaye M, Myer GD. High School Sports-Related Concussion and the Effect of a Jugular Vein Compression Collar: A Prospective Longitudinal Investigation of Neuroimaging and Neurofunctional Outcomes. J Neurotrauma 2021; 38:2811-2821. [PMID: 34375130 DOI: 10.1089/neu.2021.0141] [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] [Indexed: 11/13/2022] Open
Abstract
Sports-related concussion (SRC) can exert serious acute and long-term consequences on brain microstructure, function, and behavioral outcomes. We aimed to quantify the alterations in white matter (WM) microstructure and global network organization, and the decrements in behavioral and cognitive outcomes from pre-season to post-concussion in youth athletes who experienced SRC. We also aimed to evaluate whether wearing a jugular compression neck collar, a device designed to mitigate brain "slosh" injury, would mitigate the pre-season to post-concussion alterations in neuroimaging, behavioral, and cognitive outcomes. A total of 488 high school football and soccer athletes (14-18 years old) were prospectively enrolled and assigned to the non-collar group (n = 237) or the collar group (n = 251). The outcomes of the study were the pre-season to post-concussion neuroimaging, behavioral, and cognitive alterations. Forty-six participants (non-collar: n = 24; collar: n = 22) were diagnosed with a SRC during the season. Forty of these 46 athletes (non-collar: n = 20; collar: n = 20) completed neuroimaging assessment. Significant pre-season to post-concussion alterations in WM microstructural integrity and brain network organization were found in these athletes (corrected p < 0.05). The alterations were significantly reduced in collar-wearing athletes compared to non-collar-wearing athletes (corrected p < 0.05). Concussion and collar main effects were identified for some of the behavioral and cognitive outcomes, but no collar by SRC interaction effects were observed in any outcomes. In summary, young athletes exhibited significant WM microstructural and network organizational, and cognitive alterations following SRC. The use of the jugular vein compression collar showed promising evidence to reduce these alterations in high school contact sport athletes.
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Affiliation(s)
- Weihong Yuan
- Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Jed A Diekfuss
- Emory Sports Performance and Research Center, Flowery Branch, Georgia, USA
- Department of Orthopaedics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Kim D Barber Foss
- Emory Sports Performance and Research Center, Flowery Branch, Georgia, USA
- Department of Orthopaedics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Jonathan A Dudley
- Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - James L Leach
- Division of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Megan E Narad
- Division of Behavioral Medicine & Clinical Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Christopher A DiCesare
- Division of Sports Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Scott Bonnette
- Division of Sports Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Jeffery N Epstein
- Division of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Division of Behavioral Medicine & Clinical Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Kelsey Logan
- Division of Sports Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Mekibib Altaye
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Gregory D Myer
- Emory Sports Performance and Research Center, Flowery Branch, Georgia, USA
- Department of Orthopaedics, Emory University School of Medicine, Atlanta, Georgia, USA
- Emory Sports Medicine Center, Atlanta, Georgia, USA
- The Micheli Center for Sports Injury Prevention, Waltham, Massachusetts, USA
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18
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A Pilot Trial Examining the Merits of Combining Amantadine and Repetitive Transcranial Magnetic Stimulation as an Intervention for Persons With Disordered Consciousness After TBI. J Head Trauma Rehabil 2021; 35:371-387. [PMID: 33165151 DOI: 10.1097/htr.0000000000000634] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
OBJECTIVE Report pilot findings of neurobehavioral gains and network changes observed in persons with disordered consciousness (DoC) who received repetitive transcranial magnetic stimulation (rTMS) or amantadine (AMA), and then rTMS+AMA. PARTICIPANTS Four persons with DoC 1 to 15 years after traumatic brain injury (TBI). DESIGN Alternate treatment-order, within-subject, baseline-controlled trial. MAIN MEASURES For group and individual neurobehavioral analyses, predetermined thresholds, based on mixed linear-effects models and conditional minimally detectable change, were used to define meaningful neurobehavioral change for the Disorders of Consciousness Scale-25 (DOCS) total and Auditory-Language measures. Resting-state functional connectivity (rsFC) of the default mode and 6 other networks was examined. RESULTS Meaningful gains in DOCS total measures were observed for 75% of treatment segments and auditory-language gains were observed after rTMS, which doubled when rTMS preceded rTMS+AMA. Neurobehavioral changes were reflected in rsFC for language, salience, and sensorimotor networks. Between networks interactions were modulated, globally, after all treatments. CONCLUSIONS For persons with DoC 1 to 15 years after TBI, meaningful neurobehavioral gains were observed after provision of rTMS, AMA, and rTMS+AMA. Sequencing and combining of treatments to modulate broad-scale neural activity, via differing mechanisms, merits investigation in a future study powered to determine efficacy of this approach to enabling neurobehavioral recovery.
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19
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You J, Zhang J, Shang S, Gu W, Hu L, Zhang Y, Xiong Z, Chen YC, Yin X. Altered Brain Functional Network Topology in Lung Cancer Patients After Chemotherapy. Front Neurol 2021; 12:710078. [PMID: 34408724 PMCID: PMC8367296 DOI: 10.3389/fneur.2021.710078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 07/05/2021] [Indexed: 12/24/2022] Open
Abstract
Purpose: This study aimed to explore the topological features of brain functional network in lung cancer patients before and after chemotherapy using graph theory. Methods: Resting-state functional magnetic resonance imaging scans were obtained from 44 post-chemotherapy and 46 non-chemotherapy patients as well as 49 healthy controls (HCs). All groups were age- and gender-matched. Then, the topological features of brain functional network were assessed using graph theory analysis. Results: At the global level, compared with the HCs, both the non-chemotherapy group and the post-chemotherapy group showed significantly increased values in sigma (p < 0.05), gamma (p < 0.05), and local efficiency, Eloc (p < 0.05). The post-chemotherapy group and the non-chemotherapy group did not differ significantly in the above-mentioned parameters. At the nodal level, when non-chemotherapy or post-chemotherapy patients were compared with the HCs, abnormal nodal centralities were mainly observed in widespread brain regions. However, when the post-chemotherapy group was compared with the non-chemotherapy group, significantly decreased nodal centralities were observed primarily in the prefrontal–subcortical regions. Conclusions: These results indicate that lung cancer and chemotherapy can disrupt the topological features of functional networks, and chemotherapy may cause a pattern of prefrontal–subcortical brain network abnormality. As far as we know, this is the first study to report that altered functional brain networks are related to lung cancer and chemotherapy.
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Affiliation(s)
- Jia You
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Juan Zhang
- Department of Neurology, Nanjing Yuhua Hospital, Yuhua Branch of Nanjing First Hospital, Nanjing, China
| | - Song'an Shang
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Wei Gu
- Department of Respiratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Lanyue Hu
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yujie Zhang
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Zhenyu Xiong
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Yu-Chen Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xindao Yin
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
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20
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Shenoy Handiru V, Alivar A, Hoxha A, Saleh S, Suviseshamuthu ES, Yue GH, Allexandre D. Graph-theoretical analysis of EEG functional connectivity during balance perturbation in traumatic brain injury: A pilot study. Hum Brain Mapp 2021; 42:4427-4447. [PMID: 34312933 PMCID: PMC8410544 DOI: 10.1002/hbm.25554] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 05/08/2021] [Accepted: 05/27/2021] [Indexed: 12/13/2022] Open
Abstract
Traumatic brain injury (TBI) often results in balance impairment, increasing the risk of falls, and the chances of further injuries. However, the underlying neural mechanisms of postural control after TBI are not well understood. To this end, we conducted a pilot study to explore the neural mechanisms of unpredictable balance perturbations in 17 chronic TBI participants and 15 matched healthy controls (HC) using the EEG, MRI, and diffusion tensor imaging (DTI) data. As quantitative measures of the functional integration and segregation of the brain networks during the postural task, we computed the global graph-theoretic network measures (global efficiency and modularity) of brain functional connectivity derived from source-space EEG in different frequency bands. We observed that the TBI group showed a lower balance performance as measured by the center of pressure displacement during the task, and the Berg Balance Scale (BBS). They also showed reduced brain activation and connectivity during the balance task. Furthermore, the decrease in brain network segregation in alpha-band from baseline to task was smaller in TBI than HC. The DTI findings revealed widespread structural damage. In terms of the neural correlates, we observed a distinct role played by different frequency bands: theta-band modularity during the task was negatively correlated with the BBS in the TBI group; lower beta-band network connectivity was associated with the reduction in white matter structural integrity. Our future studies will focus on how postural training will modulate the functional brain networks in TBI.
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Affiliation(s)
- Vikram Shenoy Handiru
- Center for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, New Jersey, USA.,Department of Physical Medicine and Rehabilitation, Rutgers University New Jersey Medical School, Newark, New Jersey, USA
| | - Alaleh Alivar
- Center for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, New Jersey, USA.,Department of Physical Medicine and Rehabilitation, Rutgers University New Jersey Medical School, Newark, New Jersey, USA
| | - Armand Hoxha
- Center for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, New Jersey, USA
| | - Soha Saleh
- Center for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, New Jersey, USA.,Department of Physical Medicine and Rehabilitation, Rutgers University New Jersey Medical School, Newark, New Jersey, USA
| | - Easter S Suviseshamuthu
- Center for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, New Jersey, USA.,Department of Physical Medicine and Rehabilitation, Rutgers University New Jersey Medical School, Newark, New Jersey, USA
| | - Guang H Yue
- Center for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, New Jersey, USA.,Department of Physical Medicine and Rehabilitation, Rutgers University New Jersey Medical School, Newark, New Jersey, USA
| | - Didier Allexandre
- Center for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, New Jersey, USA.,Department of Physical Medicine and Rehabilitation, Rutgers University New Jersey Medical School, Newark, New Jersey, USA
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21
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Boroda E, Armstrong M, Gilmore CS, Gentz C, Fenske A, Fiecas M, Hendrickson T, Roediger D, Mueller B, Kardon R, Lim K. Network topology changes in chronic mild traumatic brain injury (mTBI). Neuroimage Clin 2021; 31:102691. [PMID: 34023667 PMCID: PMC8163989 DOI: 10.1016/j.nicl.2021.102691] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 04/14/2021] [Accepted: 05/01/2021] [Indexed: 11/05/2022]
Abstract
BACKGROUND In mild traumatic brain injury (mTBI), diffuse axonal injury results in disruption of functional networks in the brain and is thought to be a major contributor to cognitive dysfunction even years after trauma. OBJECTIVE Few studies have assessed longitudinal changes in network topology in chronic mTBI. We utilized a graph theoretical approach to investigate alterations in global network topology based on resting-state functional connectivity in veterans with chronic mTBI. METHODS 50 veterans with chronic mTBI (mean of 20.7 yrs. from trauma) and 40 age-matched controls underwent two functional magnetic resonance imaging scans 18 months apart. Graph theory analysis was used to quantify network topology measures (density, clustering coefficient, global efficiency, and modularity). Hierarchical linear mixed models were used to examine longitudinal change in network topology. RESULTS With all network measures, we found a significant group × time interaction. At baseline, brain networks of individuals with mTBI were less clustered (p = 0.03) and more modular (p = 0.02) than those of HC. Over time, the mTBI networks became more densely connected (p = 0.002), with increased clustering (p = 0.001) and reduced modularity (p < 0.001). Network topology did not change across time in HC. CONCLUSION These findings demonstrate that brain networks of individuals with mTBI remain plastic decades after injury and undergo significant changes in network topology even at the later phase of the disease.
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Affiliation(s)
- Elias Boroda
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.
| | | | | | - Carrie Gentz
- Minneapolis VA Health Care System, Minneapolis, MN, USA
| | - Alicia Fenske
- Minneapolis VA Health Care System, Minneapolis, MN, USA
| | - Mark Fiecas
- Center for the Prevention and Treatment of Visual Loss, Iowa City VA Healthcare System, Iowa City, IA, USA
| | - Tim Hendrickson
- University of Minnesota Informatics Institute, University of Minnesota, Minneapolis, MN, USA
| | - Donovan Roediger
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Bryon Mueller
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Randy Kardon
- University of Minnesota Informatics Institute, University of Minnesota, Minneapolis, MN, USA; Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA, USA
| | - Kelvin Lim
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA; Minneapolis VA Health Care System, Minneapolis, MN, USA; School of Public Health, Department of Biostatistics, University of Minnesota, Minneapolis, MN, USA
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22
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Mott RE, von Reyn CR, Firestein BL, Meaney DF. Regional Neurodegeneration in vitro: The Protective Role of Neural Activity. Front Comput Neurosci 2021; 15:580107. [PMID: 33854425 PMCID: PMC8039287 DOI: 10.3389/fncom.2021.580107] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Accepted: 02/11/2021] [Indexed: 12/20/2022] Open
Abstract
Traumatic brain injury is a devastating public health problem, the eighth leading cause of death across the world. To improve our understanding of how injury at the cellular scale affects neural circuit function, we developed a protocol to precisely injure individual neurons within an in vitro neural network. We used high speed calcium imaging to estimate alterations in neural activity and connectivity that occur followed targeted microtrauma. Our studies show that mechanically injured neurons inactivate following microtrauma and eventually re-integrate into the network. Single neuron re-integration is dependent on its activity prior to injury and initial connections in the network: more active and integrated neurons are more resistant to microtrauma and more likely to re-integrate into the network. Micromechanical injury leads to neuronal death 6 h post-injury in a subset of both injured and uninjured neurons. Interestingly, neural activity and network participation after injury were associated with survival in linear discriminate analysis (77.3% correct prediction, Wilks' Lambda = 0.838). Based on this observation, we modulated neuronal activity to rescue neurons after microtrauma. Inhibition of neuronal activity provided much greater survivability than did activation of neurons (ANOVA, p < 0.01 with post-hoc Tukey HSD, p < 0.01). Rescue of neurons by blocking activity in the post-acute period is partially mediated by mitochondrial energetics, as we observed silencing neurons after micromechanical injury led to a significant reduction in mitochondrial calcium accumulation. Overall, the present study provides deeper insight into the propagation of injury within networks, demonstrating that together the initial activity, network structure, and post-injury activity levels contribute to the progressive changes in a neural circuit after mechanical trauma.
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Affiliation(s)
| | - Catherine R von Reyn
- School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, United States.,Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, United States
| | - Bonnie L Firestein
- Department of Cell Biology and Neuroscience, Rutgers, The State University of New Jersey, Piscataway, NJ, United States
| | - David F Meaney
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States.,Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, United States
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23
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Churchill NW, Hutchison MG, Graham SJ, Schweizer TA. Long-term changes in the small-world organization of brain networks after concussion. Sci Rep 2021; 11:6862. [PMID: 33767293 PMCID: PMC7994718 DOI: 10.1038/s41598-021-85811-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Accepted: 03/04/2021] [Indexed: 11/09/2022] Open
Abstract
There is a growing body of literature using functional MRI to study the acute and long-term effects of concussion on functional brain networks. To date, studies have largely focused on changes in pairwise connectivity strength between brain regions. Less is known about how concussion affects whole-brain network topology, particularly the “small-world” organization which facilitates efficient communication at both local and global scales. The present study addressed this knowledge gap by measuring local and global efficiency of 26 concussed athletes at acute injury, return to play (RTP) and one year post-RTP, along with a cohort of 167 athletic controls. On average, concussed athletes showed no alterations in local efficiency but had elevated global efficiency at acute injury, which had resolved by RTP. Athletes with atypically long recovery, however, had reduced global efficiency at 1 year post-RTP, suggesting long-term functional abnormalities for this subgroup. Analyses of nodal efficiency further indicated that global network changes were driven by high-efficiency visual and sensorimotor regions and low-efficiency frontal and subcortical regions. This study provides evidence that concussion causes subtle acute and long-term changes in the small-world organization of the brain, with effects that are related to the clinical profile of recovery.
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Affiliation(s)
- N W Churchill
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, ON, Canada. .,Neuroscience Research Program, St. Michael's Hospital, Toronto, ON, Canada.
| | - M G Hutchison
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, ON, Canada.,Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, ON, Canada
| | - S J Graham
- Physical Sciences Platform, Sunnybrook Research Institute, Sunnybrook Health Science Center, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - T A Schweizer
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, ON, Canada.,Neuroscience Research Program, St. Michael's Hospital, Toronto, ON, Canada.,Faculty of Medicine (Neurosurgery), University of Toronto, Toronto, ON, Canada.,The Institute of Biomaterials and Biomedical Engineering (IBBME), University of Toronto, Toronto, ON, Canada
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24
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DeSimone JC, Davenport EM, Urban J, Xi Y, Holcomb JM, Kelley ME, Whitlow CT, Powers AK, Stitzel JD, Maldjian JA. Mapping default mode connectivity alterations following a single season of subconcussive impact exposure in youth football. Hum Brain Mapp 2021; 42:2529-2545. [PMID: 33734521 PMCID: PMC8090779 DOI: 10.1002/hbm.25384] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 02/09/2021] [Accepted: 02/10/2021] [Indexed: 12/14/2022] Open
Abstract
Repetitive head impact (RHI) exposure in collision sports may contribute to adverse neurological outcomes in former players. In contrast to a concussion, or mild traumatic brain injury, “subconcussive” RHIs represent a more frequent and asymptomatic form of exposure. The neural network‐level signatures characterizing subconcussive RHIs in youth collision‐sport cohorts such as American Football are not known. Here, we used resting‐state functional MRI to examine default mode network (DMN) functional connectivity (FC) following a single football season in youth players (n = 50, ages 8–14) without concussion. Football players demonstrated reduced FC across widespread DMN regions compared with non‐collision sport controls at postseason but not preseason. In a subsample from the original cohort (n = 17), players revealed a negative change in FC between preseason and postseason and a positive and compensatory change in FC during the offseason across the majority of DMN regions. Lastly, significant FC changes, including between preseason and postseason and between in‐ and off‐season, were specific to players at the upper end of the head impact frequency distribution. These findings represent initial evidence of network‐level FC abnormalities following repetitive, non‐concussive RHIs in youth football. Furthermore, the number of subconcussive RHIs proved to be a key factor influencing DMN FC.
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Affiliation(s)
- Jesse C. DeSimone
- Advanced Neuroscience Imaging Research (ANSIR) LaboratoryUniversity of Texas Southwestern Medical CenterDallasTexasUSA
- Department of RadiologyUniversity of Texas Southwestern Medical CenterDallasTexasUSA
| | - Elizabeth M. Davenport
- Advanced Neuroscience Imaging Research (ANSIR) LaboratoryUniversity of Texas Southwestern Medical CenterDallasTexasUSA
- Department of RadiologyUniversity of Texas Southwestern Medical CenterDallasTexasUSA
| | - Jillian Urban
- Department of Biomedical EngineeringWake Forest School of MedicineWinston SalemNorth CarolinaUSA
- Virginia Tech – Wake Forest School of Biomedical EngineeringWake Forest School of MedicineWinston SalemNorth CarolinaUSA
| | - Yin Xi
- Department of RadiologyUniversity of Texas Southwestern Medical CenterDallasTexasUSA
| | - James M. Holcomb
- Advanced Neuroscience Imaging Research (ANSIR) LaboratoryUniversity of Texas Southwestern Medical CenterDallasTexasUSA
- Department of RadiologyUniversity of Texas Southwestern Medical CenterDallasTexasUSA
| | - Mireille E. Kelley
- Department of Biomedical EngineeringWake Forest School of MedicineWinston SalemNorth CarolinaUSA
- Virginia Tech – Wake Forest School of Biomedical EngineeringWake Forest School of MedicineWinston SalemNorth CarolinaUSA
| | - Christopher T. Whitlow
- Virginia Tech – Wake Forest School of Biomedical EngineeringWake Forest School of MedicineWinston SalemNorth CarolinaUSA
- Department of Radiology – NeuroradiologyWake Forest School of MedicineWinston SalemNorth CarolinaUSA
- Clinical and Translational Sciences InstituteWake Forest School of MedicineWinston SalemNorth CarolinaUSA
| | - Alexander K. Powers
- Department of NeurosurgeryWake Forest School of MedicineWinston SalemNorth CarolinaUSA
| | - Joel D. Stitzel
- Department of Biomedical EngineeringWake Forest School of MedicineWinston SalemNorth CarolinaUSA
- Virginia Tech – Wake Forest School of Biomedical EngineeringWake Forest School of MedicineWinston SalemNorth CarolinaUSA
- Clinical and Translational Sciences InstituteWake Forest School of MedicineWinston SalemNorth CarolinaUSA
- Childress Institute for Pediatric TraumaWake Forest School of MedicineWinston SalemNorth CarolinaUSA
| | - Joseph A. Maldjian
- Advanced Neuroscience Imaging Research (ANSIR) LaboratoryUniversity of Texas Southwestern Medical CenterDallasTexasUSA
- Department of RadiologyUniversity of Texas Southwestern Medical CenterDallasTexasUSA
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25
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Abstract
Optimizing transcranial magnetic stimulation (TMS) treatments in traumatic brain injury (TBI) and co-occurring conditions may benefit from neuroimaging-based customization. PARTICIPANTS Our total sample (N = 97) included 58 individuals with TBI (49 mild, 8 moderate, and 1 severe in a state of disordered consciousness), of which 24 had co-occurring conditions (depression in 14 and alcohol use disorder in 10). Of those without TBI, 6 individuals had alcohol use disorder and 33 were healthy controls. Of our total sample, 54 were veterans and 43 were civilians. DESIGN Proof-of-concept study incorporating data from 5 analyses/studies that used multimodal approaches to integrate neuroimaging with TMS. MAIN MEASURES Multimodal neuroimaging methods including structural magnetic resonance imaging (MRI), MRI-guided TMS navigation, functional MRI, diffusion MRI, and TMS-induced electric fields. Outcomes included symptom scales, neuropsychological tests, and physiological measures. RESULTS It is feasible to use multimodal neuroimaging data to customize TMS targets and understand brain-based changes in targeted networks among people with TBI. CONCLUSIONS TBI is an anatomically heterogeneous disorder. Preliminary evidence from the 5 studies suggests that using multimodal neuroimaging approaches to customize TMS treatment is feasible. To test whether this will lead to increased clinical efficacy, studies that integrate neuroimaging and TMS targeting data with outcomes are needed.
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26
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Fischer JT, Cirino PT, DeMaster D, Alfano C, Bick J, Fan W, Ewing-Cobbs L. Frontostriatal White Matter Integrity Relations with "Cool" and "Hot" Self-Regulation after Pediatric Traumatic Brain Injury. J Neurotrauma 2020; 38:122-132. [PMID: 32993456 DOI: 10.1089/neu.2019.6937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Traumatic brain injury (TBI) produces microstructural damage to white matter pathways connecting neural structures in pre-frontal and striatal regions involved in self-regulation (SR). Dorsal and ventral frontostriatal pathways have been linked to cognitive ("cool") and emotional ("hot") SR, respectively. We evaluated the relation of frontostriatal pathway fractional anisotropy (FA) 2 months post-TBI on cool and hot SR assessed 7 months post-TBI. Participants were 8-15 years of age, including children with uncomplicated mild TBI (mTBI; n = 24), more severe TBI (complicated-mild, moderate, severe [cms]TBI; n = 60), and typically developing (TD) children (n = 55). Diffusion tensor tractography was used to map frontostriatal pathways. Cool SR included focused and sustained attention performance, and parent-reported attention, whereas hot SR included risk-taking performance and parent-reported emotional control. Multivariate general linear models showed that children with cmsTBI had greater parent-reported cool and hot SR difficulties and lower dorsal and ventral FA than TD children. Focused attention, risk taking, and emotional control correlated with FA of specific dorsal and ventral pathways; however, only the effect of TBI on focused attention was mediated by integrity of dorsal pathways. Results suggest that frontostriatal FA may serve as a biomarker of risk for SR difficulties or to assess response to interventions targeting SR in pediatric TBI and in broader neurodevelopmental populations.
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Affiliation(s)
- Jesse T Fischer
- Department of Psychology, Evaluation, and Statistics, University of Houston, Houston, Texas, USA
| | - Paul T Cirino
- Department of Psychology, Evaluation, and Statistics, University of Houston, Houston, Texas, USA
| | - Dana DeMaster
- Department of Pediatrics, University of Texas Health Sciences at Houston, Houston, Texas, USA
| | - Candice Alfano
- Department of Psychology, Evaluation, and Statistics, University of Houston, Houston, Texas, USA
| | - Johanna Bick
- Department of Psychology, Evaluation, and Statistics, University of Houston, Houston, Texas, USA
| | - Weihua Fan
- Texas Institute for Measurement, Evaluation, and Statistics, University of Houston, Houston, Texas, USA
| | - Linda Ewing-Cobbs
- Department of Pediatrics, University of Texas Health Sciences at Houston, Houston, Texas, USA
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27
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Bender Pape TL, Livengood SL, Kletzel SL, Blabas B, Guernon A, Bhaumik DK, Bhaumik R, Mallinson T, Weaver JA, Higgins JP, Wang X, Herrold AA, Rosenow JM, Parrish T. Neural Connectivity Changes Facilitated by Familiar Auditory Sensory Training in Disordered Consciousness: A TBI Pilot Study. Front Neurol 2020; 11:1027. [PMID: 33132997 PMCID: PMC7578344 DOI: 10.3389/fneur.2020.01027] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 08/06/2020] [Indexed: 12/19/2022] Open
Abstract
For people with disordered consciousness (DoC) after traumatic brain injury (TBI), relationships between treatment-induced changes in neural connectivity and neurobehavioral recovery have not been explored. To begin building a body of evidence regarding the unique contributions of treatments to changes in neural network connectivity relative to neurobehavioral recovery, we conducted a pilot study to identify relationships meriting additional examination in future research. To address this objective, we examined previously unpublished neural connectivity data derived from a randomized clinical trial (RCT). We leveraged these data because treatment efficacy, in the RCT, was based on a comparison of a placebo control with a specific intervention, the familiar auditory sensory training (FAST) intervention, consisting of autobiographical auditory-linguistic stimuli. We selected a subgroup of RCT participants with high-quality imaging data (FAST n = 4 and placebo n = 4) to examine treatment-related changes in brain network connectivity and how and if these changes relate to neurobehavioral recovery. To discover promising relationships among the FAST intervention, changes in neural connectivity, and neurobehavioral recovery, we examined 26 brain regions and 19 white matter tracts associated with default mode, salience, attention, and language networks, as well as three neurobehavioral measures. Of the relationships discovered, the systematic filtering process yielded evidence supporting further investigation of the relationship among the FAST intervention, connectivity of the left inferior longitudinal fasciculus, and auditory-language skills. Evidence also suggests that future mechanistic research should focus on examining the possibility that the FAST supports connectivity changes by facilitating redistribution of brain resources. For a patient population with limited treatment options, the reported findings suggest that a simple, yet targeted, passive sensory stimulation treatment may have altered functional and structural connectivity. If replicated in future research, then these findings provide the foundation for characterizing the unique contributions of the FAST intervention and could inform development of new treatment strategies. For persons with severely damaged brain networks, this report represents a first step toward advancing understanding of the unique contributions of treatments to changing brain network connectivity and how these changes relate to neurobehavioral recovery for persons with DoC after TBI. Clinical Trial Registry: NCT00557076, The Efficacy of Familiar Voice Stimulation During Coma Recovery (http://www.clinicaltrials.gov).
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Affiliation(s)
- Theresa L Bender Pape
- The Department of Veterans Affairs (VA), Center for Innovation in Complex Chronic Healthcare & Research Service, Edward Hines Jr. VA Hospital, Hines, IL, United States.,Department of Physical Medicine and Rehabilitation, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Sherri L Livengood
- The Department of Veterans Affairs (VA), Center for Innovation in Complex Chronic Healthcare & Research Service, Edward Hines Jr. VA Hospital, Hines, IL, United States.,Department of Physical Medicine and Rehabilitation, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Sandra L Kletzel
- The Department of Veterans Affairs (VA), Center for Innovation in Complex Chronic Healthcare & Research Service, Edward Hines Jr. VA Hospital, Hines, IL, United States
| | - Brett Blabas
- The Department of Veterans Affairs (VA), Center for Innovation in Complex Chronic Healthcare & Research Service, Edward Hines Jr. VA Hospital, Hines, IL, United States
| | - Ann Guernon
- The Department of Veterans Affairs (VA), Center for Innovation in Complex Chronic Healthcare & Research Service, Edward Hines Jr. VA Hospital, Hines, IL, United States.,Marianjoy Rehabilitation Hospital Part of Northwestern Medicine, Wheaton, IL, United States
| | - Dulal K Bhaumik
- Division of Epidemiology and Biostatistics, Department of Psychiatry, Biostatistical Research Center, University of Illinois at Chicago, Chicago, IL, United States.,Research Service, Cooperative Studies Program Coordinating Center, Edward Hines Jr. VA Hospital, Hines, IL, United States
| | - Runa Bhaumik
- Division of Epidemiology and Biostatistics, Department of Psychiatry, Biostatistical Research Center, University of Illinois at Chicago, Chicago, IL, United States
| | - Trudy Mallinson
- Department of Clinical Research and Leadership, School of Medicine and Health Sciences, The George Washington University, Washington, DC, United States
| | - Jennifer A Weaver
- Department of Clinical Research and Leadership, School of Medicine and Health Sciences, The George Washington University, Washington, DC, United States
| | - James P Higgins
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Xue Wang
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Amy A Herrold
- The Department of Veterans Affairs (VA), Center for Innovation in Complex Chronic Healthcare & Research Service, Edward Hines Jr. VA Hospital, Hines, IL, United States.,Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Joshua M Rosenow
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.,Northwestern Memorial Hospital, Chicago, IL, United States
| | - Todd Parrish
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
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28
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Dudley J, Yuan W, Diekfuss J, Barber Foss KD, DiCesare CA, Altaye M, Logan K, Leach JL, Myer GD. Altered Functional and Structural Connectomes in Female High School Soccer Athletes After a Season of Head Impact Exposure and the Effect of a Novel Collar. Brain Connect 2020; 10:292-301. [DOI: 10.1089/brain.2019.0729] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Affiliation(s)
- Jonathan Dudley
- Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Weihong Yuan
- Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Jed Diekfuss
- Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- The SPORT Center, Division of Sports Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Kim D. Barber Foss
- Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- The SPORT Center, Division of Sports Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Christopher A. DiCesare
- Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- The SPORT Center, Division of Sports Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Mekibib Altaye
- Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Kelsey Logan
- Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - James L. Leach
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati Ohio, USA
| | - Gregory D. Myer
- Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- The SPORT Center, Division of Sports Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- The Micheli Center for Sports Injury Prevention, Waltham, Massachusetts, USA
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29
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Meningher I, Bernstein-Eliav M, Rubovitch V, Pick CG, Tavor I. Alterations in Network Connectivity after Traumatic Brain Injury in Mice. J Neurotrauma 2020; 37:2169-2179. [PMID: 32434427 DOI: 10.1089/neu.2020.7063] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Victims of mild traumatic brain injury (mTBI) usually do not display clear morphological brain defects, but frequently have long-lasting cognitive deficits, emotional difficulties, and behavioral disturbances. In the present study we used diffusion magnetic resonance imaging (dMRI) combined with graph theory measurements to investigate the effects of mTBI on brain network connectivity. We employed a non-invasive closed-head weight-drop mouse model to produce mTBI. Mice were scanned at two time points, 24 h before the injury and either 7 or 30 days following the injury. Connectivity matrices were computed for each animal at each time point, and these were subsequently used to extract graph theory measures reflecting network integration and segregation, on both the global (i.e., whole brain) and local (i.e., single regions) levels. We found that cluster coefficient, reflecting network segregation, decreased 7 days post-injury and then returned to baseline level 30 days following the injury. Global efficiency, reflecting network integration, demonstrated opposite patterns in the left and right hemispheres, with an increase of right hemisphere efficiency at 7 days and then a decrease in efficiency following 30 days, and vice versa in the left hemisphere. These findings suggest a possible compensation mechanism acting to moderate the influence of mTBI on the global network. Moreover, these results highlight the importance of tracking the dynamic changes in mTBI over time, and the potential of structural connectivity as a promising approach for studying network integrity and pathology progression in mTBI.
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Affiliation(s)
- Inbar Meningher
- Department of Anatomy and Anthropology, Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
| | - Michal Bernstein-Eliav
- Department of Anatomy and Anthropology, Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
| | - Vardit Rubovitch
- Department of Anatomy and Anthropology, Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Chaim G Pick
- Department of Anatomy and Anthropology, Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel.,Dr. Miriam and Sheldon G. Adelson Chair and Center for the Biology of Addictive Diseases, Tel-Aviv University, Tel-Aviv, Israel
| | - Ido Tavor
- Department of Anatomy and Anthropology, Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
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30
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Raizman R, Tavor I, Biegon A, Harnof S, Hoffmann C, Tsarfaty G, Fruchter E, Tatsa-Laur L, Weiser M, Livny A. Traumatic Brain Injury Severity in a Network Perspective: A Diffusion MRI Based Connectome Study. Sci Rep 2020; 10:9121. [PMID: 32499553 PMCID: PMC7272462 DOI: 10.1038/s41598-020-65948-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Accepted: 05/11/2020] [Indexed: 11/08/2022] Open
Abstract
Traumatic brain injury (TBI) is often characterized by alterations in brain connectivity. We explored connectivity alterations from a network perspective, using graph theory, and examined whether injury severity affected structural connectivity and modulated the association between brain connectivity and cognitive deficits post-TBI. We performed diffusion imaging network analysis on chronic TBI patients, with different injury severities and healthy subjects. From both global and local perspectives, we found an effect of injury severity on network strength. In addition, regions which were considered as hubs differed between groups. Further exploration of graph measures in the determined hub regions showed that efficiency of six regions differed between groups. An association between reduced efficiency in the precuneus and nonverbal abstract reasoning deficits (calculated using actual pre-injury scores) was found in the controls but was lost in TBI patients. Our results suggest that disconnection of network hubs led to a less efficient network, which in turn may have contributed to the cognitive impairments manifested in TBI patients. We conclude that injury severity modulates the disruption of network organization, reflecting a "dose response" relationship and emphasize the role of efficiency as an important diagnostic tool to detect subtle brain injury specifically in mild TBI patients.
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Affiliation(s)
- Reut Raizman
- Division of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Ido Tavor
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Sagol School of neuroscience, Tel-Aviv University, Tel-Aviv, Israel
| | - Anat Biegon
- Department of Radiology and Neurology, Stony Brook University School of Medicine, Stony Brook, NY, USA
| | - Sagi Harnof
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Department of Neurosurgery, Rabin Medical Center, Belinson, Israel
| | - Chen Hoffmann
- Division of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Galia Tsarfaty
- Division of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Eyal Fruchter
- Department of Mental Health, Israel Defense Forces, Medical Corps, Tel Hashomer, Israel
| | - Lucian Tatsa-Laur
- Department of Mental Health, Israel Defense Forces, Medical Corps, Tel Hashomer, Israel
| | - Mark Weiser
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer, Israel
| | - Abigail Livny
- Division of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Israel.
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Israel.
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Freeze B, Maia P, Pandya S, Raj A. Network mediation of pathology pattern in sporadic Creutzfeldt-Jakob disease. Brain Commun 2020; 2:fcaa060. [PMID: 32954308 PMCID: PMC7425363 DOI: 10.1093/braincomms/fcaa060] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 04/15/2020] [Accepted: 04/17/2020] [Indexed: 11/25/2022] Open
Abstract
Sporadic Creutzfeldt–Jakob disease is a rare fatal rapidly progressive dementia caused by the accumulation and spread of pathologically misfolded prions. Evidence from animal models and in vitro experiments suggests that prion pathology propagates along neural connectivity pathways, with the transmission of misfolded prions initiating a corruptive templating process in newly encountered brain regions. Although particular regional patterns of disease have been recognized in humans, the underlying mechanistic basis of these patterns remains poorly understood. Here, we demonstrate that the spatial pattern of disease derived from publicly available human diffusion-weighted MRI data demonstrates stereotypical features across patient cohorts and can be largely explained by intrinsic connectivity properties of the human structural brain network. Regional diffusion-weighted MRI signal abnormalities are predicted by graph theoretical measures of centrality, with highly affected regions such as cingulate gyrus demonstrating strong structural connectivity to other brain regions. We employ network diffusion modelling to demonstrate that the spatial pattern of disease can be predicted by a diffusion process originating from a single regional pathology seed and operating on the structural connectome. The most likely seeds correspond to the most highly affected brain regions, suggesting that pathological prions could originate in a single brain region and spread throughout the brain to produce the regional distribution of pathology observed on MRI. Further investigation of top seed regions and associated connectivity pathways may be a useful strategy for developing therapeutic approaches.
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Affiliation(s)
- Benjamin Freeze
- Department of Radiology, NewYork-Presbyterian Hospital/Weill Cornell Medicine, New York, NY 10065, USA
| | - Pedro Maia
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Sneha Pandya
- Department of Radiology, NewYork-Presbyterian Hospital/Weill Cornell Medicine, New York, NY 10065, USA
| | - Ashish Raj
- Department of Radiology, NewYork-Presbyterian Hospital/Weill Cornell Medicine, New York, NY 10065, USA.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, USA
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Impaired brain network architecture in Cushing's disease based on graph theoretical analysis. Aging (Albany NY) 2020; 12:5168-5182. [PMID: 32208364 PMCID: PMC7138581 DOI: 10.18632/aging.102939] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 03/09/2020] [Indexed: 12/30/2022]
Abstract
To investigate the whole functional brain networks of active Cushing disease (CD) patients about topological parameters (small world and rich club et al.) and compared with healthy control (NC). Nineteen active CD patients and twenty-two healthy control subjects, matched in age, gender, and education, underwent resting-state fMRI. Graph theoretical analysis was used to calculate the functional brain network organizations for all participants, and those for active CD patients were compared for and NCs. Active CD patients revealed higher global efficiency, shortest path length and reduced cluster efficiency compared with healthy control. Additionally, small world organization was present in active CD patients but higher than healthy control. Moreover, rich club connections, feeder connections and local connections were significantly decreased in active CD patients. Functional network properties appeared to be disrupted in active CD patients compared with healthy control. Analyzing the changes that lead to abnormal network metrics will improve our understanding of the pathophysiological mechanisms underlying CD.
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Psychopathy is associated with shifts in the organization of neural networks in a large incarcerated male sample. NEUROIMAGE-CLINICAL 2019; 24:102083. [PMID: 31795050 PMCID: PMC6861623 DOI: 10.1016/j.nicl.2019.102083] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 11/01/2019] [Accepted: 11/06/2019] [Indexed: 02/05/2023]
Abstract
Psychopathy is linked to disruptions in neural information processing. Graph analysis revealed that psychopathy impacts neural network organization. Psychopathy is linked to a hyper-efficiently organized dorsal attention network. Subcortical structures are less central to neural communication in psychopathy. No psychopathy differences were found in default or salience network graph metrics.
Psychopathy is a personality disorder defined by antisocial behavior paired with callousness, low empathy, and low interpersonal emotions. Psychopathic individuals reliably display complex atypicalities in emotion and attention processing that are evident when examining task performance, activation within specific neural regions, and connections between regions. Recent advances in neuroimaging methods, namely graph analysis, attempt to unpack this type of processing complexity by evaluating the overall organization of neural networks. Graph analysis has been used to better understand neural functioning in several clinical disorders but has not yet been used in the study of psychopathy. The present study applies a minimum spanning tree graph analysis to resting-state fMRI data collected from male inmates assessed for psychopathy with the Hare Psychopathy Checklist-Revised (n = 847). Minimum spanning tree analysis provides several metrics of neural organization optimality (i.e., the effectiveness, efficiency, and robustness of neural network organization). Results show that inmates higher in psychopathy exhibit a more efficiently organized dorsal attention network (β = =0.101, pcorrected = =0.018). Additionally, subcortical structures (e.g., amygdala, caudate, and hippocampus) act as less of a central hub in the global flow of information in inmates higher in psychopathy (β = =−0.104, pcorrected = =0.048). There were no significant effects of psychopathy on neural network organization in the default or salience networks. Together, these shifts in neural organization suggest that the brains of inmates higher in psychopathy are organized in a fundamentally different way than other individuals.
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Lee S, Polimeni JR, Price CM, Edlow BL, McNab JA. Characterizing Signals Within Lesions and Mapping Brain Network Connectivity After Traumatic Axonal Injury: A 7 Tesla Resting-State FMRI Study. Brain Connect 2019; 8:288-298. [PMID: 29665699 DOI: 10.1089/brain.2017.0499] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Resting-state functional magnetic resonance imaging (RS-FMRI) has been widely used to map brain functional connectivity, but it is unclear how to probe connectivity within and around lesions. In this study, we characterize RS-FMRI signal time course properties and evaluate different seed placements within and around hemorrhagic traumatic axonal injury (hTAI) lesions. RS-FMRI was performed on a 7 Tesla scanner in a patient who recovered consciousness after traumatic coma and in three healthy controls. Eleven lesions in the patient were characterized in terms of (1) temporal signal-to-noise ratio (tSNR); (2) physiological noise, through comparison of noise regressors derived from the white matter (WM), cerebrospinal fluid (CSF), and gray matter (GM); and (3) seed-based functional connectivity. Temporal SNR at the center of the lesions was 38.3% and 74.1% lower compared with the same region in the contralesional hemisphere of the patient and in the ipsilesional hemispheres of the controls, respectively. Within the lesions, WM noise was more prominent than CSF and GM noise. Lesional seeds did not produce discernable networks, but seeds in the contralesional hemisphere revealed networks whose nodes appeared to be shifted or obscured due to overlapping or nearby lesions. Single-voxel seed analysis demonstrated that placing a seed within a lesion's periphery was necessary to identify networks associated with the lesion region. These findings provide evidence of resting-state network changes in the human brain after recovery from traumatic coma. Furthermore, we show that seed placement within a lesion's periphery or in the contralesional hemisphere may be necessary for network identification in patients with hTAI.
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Affiliation(s)
- Seul Lee
- 1 Department of Electrical Engineering, Stanford University , Stanford, California.,2 Department of Radiology, Stanford University , Stanford, California
| | - Jonathan R Polimeni
- 3 Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital , Charlestown, Massachusetts.,4 Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology , Cambridge, Massachusetts
| | - Collin M Price
- 5 Department of Neurology, Stanford University , Stanford, California
| | - Brian L Edlow
- 3 Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital , Charlestown, Massachusetts.,6 Department of Neurology, Center for Neurotechnology and Neurorecovery , Massachusetts General Hospital, Boston, Massachusetts
| | - Jennifer A McNab
- 2 Department of Radiology, Stanford University , Stanford, California
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Galicia-Alvarado M, Alducin-Castillo J, Ramírez-Flores MJ, Sánchez Quezada AL, Yáñez-Suárez O, Flores-Ávalos B. Cognitive and spectral coherence of EEG alterations in resting state in children with chronic TBI. SALUD MENTAL 2019. [DOI: 10.17711/sm.0185-3325.2019.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Introduction. TBI is associated with alterations in cortico-subcortical connectivity. However, little attention has been paid to its clinical characteristics and functional connectivity in pediatric patients with chronic TBI. Objective. To evaluate the cognitive performance and spectral coherence of a group of children with TBI in non-acute phase. Method. Cross-sectional study of 15 children with chronic TBI and 17 healthy children. The Neuropsychological Assessment of Children (Evaluación Neuropsicológica Infantil, ENI) was used and the resting activity of the EEG with eyes-closed was recorded. Offline, two-second epochs of the EEG of each participant were chosen and the spectral coherence was estimated in a range of 1.6 to 30 Hz. The cognitive performance between groups was compared with T-test/Mann-Whitney U Test and MANOVA for the coherence values. Results. The TBI group showed a lower performance (p ≤ 0.05) in metalinguistic, visuospatial skills, attention, memory, non-verbal flexibility, planning, and organization. Differences (p ≤ 0.000) were found both inter and intrahemispherically in the spectral coherence between the groups, particularly on F1-F3 (95% CI: 0.543 - 0.557) over the whole frequency range and F3-C3 (95% CI: 0.503 - 0.515) in delta, theta, alpha2, and beta frequencies. Discussion and conclusión. Our findings suggest alterations of hypo and hyper functional connectivity, particularly on the frontal and parietal lobes of both hemispheres, even after several years of a TBI. It is possible that a subtle difference in the degree of connectivity is crucial in the genesis or successful development of attentional, mnesic, executive, and visuospatial processes.
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Affiliation(s)
- Marlene Galicia-Alvarado
- Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico
- Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico
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Sours C, Kinnison J, Padmala S, Gullapalli RP, Pessoa L. Altered segregation between task-positive and task-negative regions in mild traumatic brain injury. Brain Imaging Behav 2019; 12:697-709. [PMID: 28456880 DOI: 10.1007/s11682-017-9724-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Changes in large-scale brain networks that accompany mild traumatic brain injury (mTBI) were investigated using functional magnetic resonance imaging (fMRI) during the N-back working memory task at two cognitive loads (1-back and 2-back). Thirty mTBI patients were examined during the chronic stage of injury and compared to 28 control participants. Demographics and behavioral performance were matched across groups. Due to the diffuse nature of injury, we hypothesized that there would be an imbalance in the communication between task-positive and Default Mode Network (DMN) regions in the context of effortful task execution. Specifically, a graph-theoretic measure of modularity was used to quantify the extent to which groups of brain regions tended to segregate into task-positive and DMN sub-networks. Relative to controls, mTBI patients showed reduced segregation between the DMN and task-positive networks, but increased functional connectivity within the DMN regions during the more cognitively demanding 2-back task. Together, our findings reveal that patients exhibit alterations in the communication between and within neural networks during a cognitively demanding task. These findings reveal altered processes that persist through the chronic stage of injury, highlighting the need for longitudinal research to map the neural recovery of mTBI patients.
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Affiliation(s)
- Chandler Sours
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 22 South Greene Street, Baltimore, MD, 21201, USA.
| | - Joshua Kinnison
- Department of Psychology, University of Maryland, College Park, MD, 20742, USA
| | - Srikanth Padmala
- Department of Psychology, University of Maryland, College Park, MD, 20742, USA
| | - Rao P Gullapalli
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 22 South Greene Street, Baltimore, MD, 21201, USA
| | - Luiz Pessoa
- Department of Psychology, University of Maryland, College Park, MD, 20742, USA
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Jonker F, Weeda W, Rauwerda K, Scherder E. The bridge between cognition and behavior in acquired brain injury: A graph theoretical approach. Brain Behav 2019; 9:e01208. [PMID: 30729721 PMCID: PMC6422716 DOI: 10.1002/brb3.1208] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Revised: 11/30/2018] [Accepted: 12/05/2018] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND The assumption is that executive dysfunctions (EF), associated with frontal lobe injury, are responsible for behavioral disturbances. Some studies do not find a relationship between EF and behavior following frontal lobe lesions. Our main goal of this study was to use a novel statistical method, graph theory, to analyze this relationship in different brain injury groups; frontal lobe damage, non-frontal lobe damage, and controls. Within the frontal group, we expect to find a pattern of executive nodes that are highly interconnected. METHODS For each group, we modeled the relationship between executive functions and behavior as a network of interdependent variables. The cognitive tests and the behavioral questionnaire are the "nodes" in the network, while the relationships between the nodes were modeled as the correlations between two nodes corrected for the correlation with all other nodes in the network. Sparse networks were estimated within each group using graphical LASSO. We analyzed the relative importance of the nodes within a network (centrality) and the clustering (modularity) of the different nodes. RESULTS Network analysis showed distinct patterns of relationships between EF and behavior in the three subgroups. The performance on the verbal learning test is the most central node in all the networks. In the frontal group, verbal memory forms a community with working memory and fluency. The behavioral nodes do not differentiate between groups or form clusters with cognitive nodes. No other communities were found for cognitive and behavioral nodes. CONCLUSION The cognitive phenotype of the frontal lobe damaged group, with its stability and proportion, might be theoretically interpreted as a potential "buffer" for possible cognitive executive deficits. This might explain some of the ambiguity found in the literature. This alternative approach on cognitive test scores provides a different and possibly complimentary perspective of the neuropsychology of brain-injured patients.
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Affiliation(s)
- Frank Jonker
- Vesalius, Centre for NeuropsychiatryGGZ AltrechtWoerdenThe Netherlands
- Faculty of Behavioral and Movement Sciences, Section Clinical NeuropsychologyVU Universiteit AmsterdamAmsterdamThe Netherlands
| | - Wouter Weeda
- Department of Methodology and StatisticsLeiden UniversityLeidenThe Netherlands
| | - Kim Rauwerda
- Vesalius, Centre for NeuropsychiatryGGZ AltrechtWoerdenThe Netherlands
| | - Erik Scherder
- Faculty of Behavioral and Movement Sciences, Section Clinical NeuropsychologyVU Universiteit AmsterdamAmsterdamThe Netherlands
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Evaluation of Prognosis in Patients with Severe Traumatic Brain Injury Using Resting-State Functional Magnetic Resonance Imaging. World Neurosurg 2018; 121:e630-e639. [PMID: 30292041 DOI: 10.1016/j.wneu.2018.09.178] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 09/21/2018] [Accepted: 09/24/2018] [Indexed: 11/21/2022]
Abstract
BACKGROUND We investigate the change of the default mode network (DMN) by using amplitude of low-frequency fluctuation (ALFF) and functional connectivity (FC) methods in acute phase patients after severe traumatic brain injury (sTBI) and correlate these changes with prognosis. METHODS Twenty-one patients with sTBI were included. Twenty-one healthy sex-, age-, and education-matched control subjects were recruited for the control group. Of the 21 patients with sTBI, 12 patients regained consciousness (Glasgow Outcome Scale [GOS] score >2) and 9 patients remained unconscious (GOS score <2). FC and ALFF values were measured in the DMN and compared between the groups. We further assessed and compared the FC and ALFF values in both groups. RESULTS Patients with sTBI showed significantly decreased FC and ALFF values in the DMN. However, patients with a better prognosis showed a significant increase in FC and ALFF values in the DMN. The conscious subgroup showed significantly enhanced FC in the medial superior frontal gyrus, left temporal gyrus, anterior cingulate gyrus, precuneus, posterior cingulate gyrus, and parietal cortex compared with the coma subgroup. Increased ALFF values in the right frontal gyrus, right temporal gyrus, and right inferior parietal gyrus were significant in the conscious subgroup compared with the coma subgroup. CONCLUSIONS Increases in FC and ALFF values in the DMN are related to better prognosis in patients with sTBI.
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Gilbert N, Bernier RA, Calhoun VD, Brenner E, Grossner E, Rajtmajer SM, Hillary FG. Diminished neural network dynamics after moderate and severe traumatic brain injury. PLoS One 2018; 13:e0197419. [PMID: 29883447 PMCID: PMC5993261 DOI: 10.1371/journal.pone.0197419] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 05/02/2018] [Indexed: 12/04/2022] Open
Abstract
Over the past decade there has been increasing enthusiasm in the cognitive neurosciences around using network science to understand the system-level changes associated with brain disorders. A growing literature has used whole-brain fMRI analysis to examine changes in the brain's subnetworks following traumatic brain injury (TBI). Much of network modeling in this literature has focused on static network mapping, which provides a window into gross inter-nodal relationships, but is insensitive to more subtle fluctuations in network dynamics, which may be an important predictor of neural network plasticity. In this study, we examine the dynamic connectivity with focus on state-level connectivity (state) and evaluate the reliability of dynamic network states over the course of two runs of intermittent task and resting data. The goal was to examine the dynamic properties of neural networks engaged periodically with task stimulation in order to determine: 1) the reliability of inter-nodal and network-level characteristics over time and 2) the transitions between distinct network states after traumatic brain injury. To do so, we enrolled 23 individuals with moderate and severe TBI at least 1-year post injury and 19 age- and education-matched healthy adults using functional MRI methods, dynamic connectivity modeling, and graph theory. The results reveal several distinct network "states" that were reliably evident when comparing runs; the overall frequency of dynamic network states are highly reproducible (r-values>0.8) for both samples. Analysis of movement between states resulted in fewer state transitions in the TBI sample and, in a few cases, brain injury resulted in the appearance of states not exhibited by the healthy control (HC) sample. Overall, the findings presented here demonstrate the reliability of observable dynamic mental states during periods of on-task performance and support emerging evidence that brain injury may result in diminished network dynamics.
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Affiliation(s)
- Nicholas Gilbert
- Department of Psychology, The Pennsylvania State University, University Park, PA, United States of America
- Social and Life and Engineering Sciences Imaging Center, University Park, PA, United States of America
| | - Rachel A. Bernier
- Department of Psychology, The Pennsylvania State University, University Park, PA, United States of America
- Social and Life and Engineering Sciences Imaging Center, University Park, PA, United States of America
| | - Vincent D. Calhoun
- The Mind Research Network, Albuquerque, NM, United States of America
- Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, United States of America
| | - Einat Brenner
- Department of Psychology, The Pennsylvania State University, University Park, PA, United States of America
- Social and Life and Engineering Sciences Imaging Center, University Park, PA, United States of America
| | - Emily Grossner
- Department of Psychology, The Pennsylvania State University, University Park, PA, United States of America
- Social and Life and Engineering Sciences Imaging Center, University Park, PA, United States of America
| | - Sarah M. Rajtmajer
- College of Information Science and Technology, The Pennsylvania State University, University Park, PA, United States of America
| | - Frank G. Hillary
- Department of Psychology, The Pennsylvania State University, University Park, PA, United States of America
- Social and Life and Engineering Sciences Imaging Center, University Park, PA, United States of America
- Department of Neurology, Hershey Medical Center, Hershey, PA, United States of America
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Abidin AZ, DSouza AM, Nagarajan MB, Wang L, Qiu X, Schifitto G, Wismüller A. Alteration of brain network topology in HIV-associated neurocognitive disorder: A novel functional connectivity perspective. NEUROIMAGE-CLINICAL 2017. [PMID: 29527484 PMCID: PMC5842750 DOI: 10.1016/j.nicl.2017.11.025] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
HIV is capable of invading the brain soon after seroconversion. This ultimately can lead to deficits in multiple cognitive domains commonly referred to as HIV-associated neurocognitive disorders (HAND). Clinical diagnosis of such deficits requires detailed neuropsychological assessment but clinical signs may be difficult to detect during asymptomatic injury of the central nervous system (CNS). Therefore neuroimaging biomarkers are of particular interest in HAND. In this study, we constructed brain connectivity profiles of 40 subjects (20 HIV positive subjects and 20 age-matched seronegative controls) using two different methods: a non-linear mutual connectivity analysis approach and a conventional method based on Pearson's correlation. These profiles were then summarized using graph-theoretic methods characterizing their topological network properties. Standard clinical and laboratory assessments were performed and a battery of neuropsychological (NP) tests was administered for all participating subjects. Based on NP testing, 14 of the seropositive subjects exhibited mild neurologic impairment. Subsequently, we analyzed associations between the network derived measures and neuropsychological assessment scores as well as common clinical laboratory plasma markers (CD4 cell count, HIV RNA) after adjusting for age and gender. Mutual connectivity analysis derived graph-theoretic measures, Modularity and Small Worldness, were significantly (p < 0.05, FDR adjusted) associated with the Executive as well as Overall z-score of NP performance. In contrast, network measures derived from conventional correlation-based connectivity did not yield any significant results. Thus, changes in connectivity can be captured using advanced time-series analysis techniques. The demonstrated associations between imaging-derived graph-theoretic properties of brain networks with neuropsychological performance, provides opportunities to further investigate the evolution of HAND in larger, longitudinal studies. Our analysis approach, involving non-linear time-series analysis in conjunction with graph theory, is promising and it may prove to be useful not only in HAND but also in other neurodegenerative disorders. Currently, cognitive impairment in HIV positive individuals is detected using detailed neuropsychological testing. Analysis of fMRI data using MCA-GRBF method revealed significant associations with current clinical standards. In contrast, functional connectivity analysis using conventional correlation analysis does not produce any such associations. Nonlinear analysis using MCA-GRBF method can potentially capture relevant information when compared to conventional methods.
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Affiliation(s)
- Anas Z Abidin
- Department Biomedical Engineering, University of Rochester, NY, USA.
| | - Adora M DSouza
- Department of Electrical Engineering, University of Rochester, NY, USA
| | - Mahesh B Nagarajan
- Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Lu Wang
- Department of Biostatistics and Computational Biology, University of Rochester, NY, USA
| | - Xing Qiu
- Department of Biostatistics and Computational Biology, University of Rochester, NY, USA
| | - Giovanni Schifitto
- Department of Imaging Sciences, University of Rochester, NY, USA; Department of Neurology, University of Rochester, NY, USA
| | - Axel Wismüller
- Department Biomedical Engineering, University of Rochester, NY, USA; Department of Electrical Engineering, University of Rochester, NY, USA; Department of Imaging Sciences, University of Rochester, NY, USA; Faculty of Medicine and Institute of Clinical Radiology, Ludwig Maximilian University, Munich, Germany
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Wang L, Kong QM, Li K, Li XN, Zeng YW, Chen C, Qian Y, Feng SJ, Li JT, Su Y, Correll CU, Mitchell PB, Yan CG, Zhang DR, Si TM. Altered intrinsic functional brain architecture in female patients with bulimia nervosa. J Psychiatry Neurosci 2017; 42:414-423. [PMID: 28949286 PMCID: PMC5662463 DOI: 10.1503/jpn.160183] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Bulimia nervosa is a severe psychiatric syndrome with uncertain pathogenesis. Neural systems involved in sensorimotor and visual processing, reward and impulsive control may contribute to the binge eating and purging behaviours characterizing bulimia nervosa. However, little is known about the alterations of functional organization of whole brain networks in individuals with this disorder. METHODS We used resting-state functional MRI and graph theory to characterize functional brain networks of unmedicated women with bulimia nervosa and healthy women. RESULTS We included 44 unmedicated women with bulimia nervosa and 44 healthy women in our analyses. Women with bulimia nervosa showed increased clustering coefficient and path length compared with control women. The nodal strength in patients with the disorder was higher in the sensorimotor and visual regions as well as the precuneus, but lower in several subcortical regions, such as the hippocampus, parahippocampal gyrus and orbitofrontal cortex. Patients also showed hyperconnectivity primarily involving sensorimotor and unimodal visual association regions, but hypoconnectivity involving subcortical (striatum, thalamus), limbic (amygdala, hippocampus) and paralimbic (orbitofrontal cortex, parahippocampal gyrus) regions. The topological aberrations correlated significantly with scores of bulimia and drive for thinness and with body mass index. LIMITATIONS We reruited patients with only acute bulimia nervosa, so it is unclear whether the topological abnormalities comprise vulnerability markers for the disorder developing or the changes associated with illness state. CONCLUSION Our findings show altered intrinsic functional brain architecture, specifically abnormal global and local efficiency, as well as nodal- and network-level connectivity across sensorimotor, visual, subcortical and limbic systems in women with bulimia nervosa, suggesting that it is a disorder of dysfunctional integration among large-scale distributed brain regions. These abnormalities contribute to more comprehensive understanding of the neural mechanism underlying pathological eating and body perception in women with bulimia nervosa.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Tian-Mei Si
- Correspondence to: T. Si, Clinical Psychopharmacology Division, Institute of Mental Health, Peking University, No. 51 Hua Yuan Bei Road, Hai Dian District 100191, Beijing, China; ; or C. Yan, CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District 100101, Beijing, China;
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Scheibel RS. Functional Magnetic Resonance Imaging of Cognitive Control following Traumatic Brain Injury. Front Neurol 2017; 8:352. [PMID: 28824524 PMCID: PMC5543081 DOI: 10.3389/fneur.2017.00352] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2017] [Accepted: 07/05/2017] [Indexed: 11/13/2022] Open
Abstract
Novel and non-routine tasks often require information processing and behavior to adapt from moment to moment depending on task requirements and current performance. This ability to adapt is an executive function that is referred to as cognitive control. Patients with moderate-to-severe traumatic brain injury (TBI) have been reported to exhibit impairments in cognitive control and functional magnetic resonance imaging (fMRI) has provided evidence for TBI-related alterations in brain activation using various fMRI cognitive control paradigms. There is some support for greater and more extensive cognitive control-related brain activation in patients with moderate-to-severe TBI, relative to comparison subjects without TBI. In addition, some studies have reported a correlation between these activation increases and measures of injury severity. Explanations that have been proposed for increased activation within structures that are thought to be directly involved in cognitive control, as well as the extension of this over-activation into other brain structures, have included compensatory mechanisms, increased demand upon normal processes required to maintain adequate performance, less efficient utilization of neural resources, and greater vulnerability to cognitive fatigue. Recent findings are also consistent with the possibility that activation increases within some structures, such as the posterior cingulate gyrus, may reflect a failure to deactivate components of the default mode network (DMN) and that some cognitive control impairment may result from ineffective coordination between the DMN and components of the salience network. Functional neuroimaging studies examining cognitive control-related activation following mild TBI (mTBI) have yielded more variable results, with reports of increases, decreases, and no significant change. These discrepancies may reflect differences among the various mTBI samples under study, recovery of function in some patients, different task characteristics, and the presence of comorbid conditions such as depression and posttraumatic stress disorder that also alter brain activation. There may be mTBI populations with activation changes that overlap with those found following more severe injuries, including symptomatic mTBI patients and those with acute injuries, but future research to address such dysfunction will require well-defined samples with adequate controls for injury characteristics, comorbid disorders, and severity of post-concussive symptoms.
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Affiliation(s)
- Randall S Scheibel
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, United States.,Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, United States
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Porter S, Torres I, Panenka W, Rajwani Z, Fawcett D, Hyder A, Virji-Babul N. Changes in brain-behavior relationships following a 3-month pilot cognitive intervention program for adults with traumatic brain injury. Heliyon 2017; 3:e00373. [PMID: 28795168 PMCID: PMC5545767 DOI: 10.1016/j.heliyon.2017.e00373] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2017] [Revised: 06/22/2017] [Accepted: 07/27/2017] [Indexed: 01/21/2023] Open
Abstract
Facilitating functional recovery following brain injury is a key goal of neurorehabilitation. Direct, objective measures of changes in the brain are critical to understanding how and when meaningful changes occur, however, assessing neuroplasticity using brain based results remains a significant challenge. Little is known about the underlying changes in functional brain networks that correlate with cognitive outcomes in traumatic brain injury (TBI). The purpose of this pilot study was to assess the feasibility of an intensive three month cognitive intervention program in individuals with chronic TBI and to evaluate the effects of this intervention on brain-behavioral relationships. We used tools from graph theory to evaluate changes in global and local brain network features prior to and following cognitive intervention. Network metrics were calculated from resting state electroencephalographic (EEG) recordings from 10 adult participants with mild to severe brain injury and 11 age and gender matched healthy controls. Local graph metrics showed hyper-connectivity in the right inferior frontal gyrus and hypo-connectivity in the left inferior frontal gyrus in the TBI group at baseline in comparison with the control group. Following the intervention, there was a statistically significant increase in the composite cognitive score in the TBI participants and a statistically significant decrease in functional connectivity in the right inferior frontal gyrus. In addition, there was evidence of changes in the brain-behavior relationships following intervention. The results from this pilot study provide preliminary evidence for functional network reorganization that parallels cognitive improvements after cognitive rehabilitation in individuals with chronic TBI.
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Affiliation(s)
- S. Porter
- Graduate Program in Rehabilitation Sciences, University of British Columbia, Canada
| | - I.J. Torres
- Department of Psychiatry, University of British Columbia
| | - W. Panenka
- Department of Psychiatry, University of British Columbia
- British Columbia Provincial Neuropsychiatry Program
| | - Z. Rajwani
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia
| | - D. Fawcett
- Department of Psychiatry, University of British Columbia
| | - A. Hyder
- Graduate Program in Neuroscience, University of British Columbia
| | - N. Virji-Babul
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia
- Department of Physical Therapy, University of British Columbia, Canada
- Corresponding author at: Dept. of Physical Therapy, University of British Columbia, 212–2177 Westbrook Mall, Vancouver, British Columbia, V6T 1Z3, Canada.
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44
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Bernier RA, Roy A, Venkatesan UM, Grossner EC, Brenner EK, Hillary FG. Dedifferentiation Does Not Account for Hyperconnectivity after Traumatic Brain Injury. Front Neurol 2017; 8:297. [PMID: 28769858 PMCID: PMC5512341 DOI: 10.3389/fneur.2017.00297] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Accepted: 06/09/2017] [Indexed: 12/20/2022] Open
Abstract
Objective Changes in functional network connectivity following traumatic brain injury (TBI) have received increasing attention in recent neuroimaging literature. This study sought to understand how disrupted systems adapt to injury during resting and goal-directed brain states. Hyperconnectivity has been a common finding, and dedifferentiation (or loss of segregation of networks) is one possible explanation for this finding. We hypothesized that individuals with TBI would show dedifferentiation of networks (as noted in other clinical populations) and these effects would be associated with cognitive dysfunction. Methods Graph theory was implemented to examine functional connectivity during periods of task and rest in 19 individuals with moderate/severe TBI and 14 healthy controls (HCs). Using a functional brain atlas derived from 83 functional imaging studies, graph theory was used to examine network dynamics and determine whether dedifferentiation accounts for changes in connectivity. Regions of interest were assigned to one of three groups: task-positive, default mode, or other networks. Relationships between these metrics were then compared with performance on neuropsychological tests. Results Hyperconnectivity in TBI was most commonly observed as increased within-network connectivity. Network strengths within networks that showed differences between TBI and HCs were correlated with performance on five neuropsychological tests typically sensitive to deficits commonly reported in TBI. Hyperconnectivity within the default mode network (DMN) during task was associated with better performance on Digit Span Backward, a measure of working memory [R2(18) = 0.28, p = 0.02]. In other words, increased differentiation of networks during task was associated with better working memory. Hyperconnectivity within the task-positive network during rest was not associated with behavior. Negative correlation weights were not associated with behavior. Conclusion The primary hypothesis that hyperconnectivity occurs through dedifferentiation was not supported. Instead, enhanced connectivity post injury was observed within network. Results suggest that the relationship between increased connectivity and cognitive functioning may be both state (rest or task) and network dependent. High-cost network hubs were identical for both rest and task, and cost was negatively associated with performance on measures of psychomotor speed and set-shifting.
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Affiliation(s)
- Rachel Anne Bernier
- Department of Psychology, Pennsylvania State University, University Park, PA, United States.,Social Life and Engineering Sciences Imaging Center, University Park, PA, United States
| | - Arnab Roy
- Department of Psychology, Pennsylvania State University, University Park, PA, United States.,Social Life and Engineering Sciences Imaging Center, University Park, PA, United States
| | - Umesh Meyyappan Venkatesan
- Department of Psychology, Pennsylvania State University, University Park, PA, United States.,Social Life and Engineering Sciences Imaging Center, University Park, PA, United States
| | - Emily C Grossner
- Department of Psychology, Pennsylvania State University, University Park, PA, United States.,Social Life and Engineering Sciences Imaging Center, University Park, PA, United States
| | - Einat K Brenner
- Department of Psychology, Pennsylvania State University, University Park, PA, United States.,Social Life and Engineering Sciences Imaging Center, University Park, PA, United States
| | - Frank Gerard Hillary
- Department of Psychology, Pennsylvania State University, University Park, PA, United States.,Social Life and Engineering Sciences Imaging Center, University Park, PA, United States.,Department of Neurology, Hershey Medical Center, Hershey, PA, United States
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45
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Wei P, Zhang Z, Lv Z, Jing B. Strong Functional Connectivity among Homotopic Brain Areas Is Vital for Motor Control in Unilateral Limb Movement. Front Hum Neurosci 2017; 11:366. [PMID: 28747880 PMCID: PMC5506200 DOI: 10.3389/fnhum.2017.00366] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Accepted: 06/27/2017] [Indexed: 11/13/2022] Open
Abstract
The mechanism underlying brain region organization for motor control in humans remains poorly understood. In this functional magnetic resonance imaging (fMRI) study, right-handed volunteers were tasked to maintain unilateral foot movements on the right and left sides as consistently as possible. We aimed to identify the similarities and differences between brain motor networks of the two conditions. We recruited 18 right-handed healthy volunteers aged 25 ± 2.3 years and used a whole-body 3T system for magnetic resonance (MR) scanning. Image analysis was performed using SPM8, Conn toolbox and Brain Connectivity Toolbox. We determined a craniocaudally distributed, mirror-symmetrical modular structure. The functional connectivity between homotopic brain areas was generally stronger than the intrahemispheric connections, and such strong connectivity led to the abovementioned modular structure. Our findings indicated that the interhemispheric functional interaction between homotopic brain areas is more intensive than the interaction along the conventional top-down and bottom-up pathways within the brain during unilateral limb movement. The detected strong interhemispheric horizontal functional interaction is an important aspect of motor control but often neglected or underestimated. The strong interhemispheric connectivity may explain the physiological phenomena and effects of promising therapeutic approaches. Further accurate and effective therapeutic methods may be developed on the basis of our findings.
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Affiliation(s)
- Pengxu Wei
- Beijing Key Laboratory of Rehabilitation Technical Aids for Old-age Disability, Key Laboratory of Neuro-functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, National Research Center for Rehabilitation Technical AidsBeijing, China
| | - Zuting Zhang
- Beijing Key Laboratory of Rehabilitation Technical Aids for Old-age Disability, Key Laboratory of Neuro-functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, National Research Center for Rehabilitation Technical AidsBeijing, China
| | - Zeping Lv
- Beijing Key Laboratory of Rehabilitation Technical Aids for Old-age Disability, Key Laboratory of Neuro-functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, National Research Center for Rehabilitation Technical AidsBeijing, China
| | - Bin Jing
- School of Biomedical Engineering, Capital Medical UniversityBeijing, China
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46
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Yan Y, Song J, Xu G, Yao S, Cao C, Li C, Peng G, Du H. Correlation between standardized assessment of concussion scores and small-world brain network in mild traumatic brain injury. J Clin Neurosci 2017; 44:114-121. [PMID: 28602630 DOI: 10.1016/j.jocn.2017.05.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2017] [Accepted: 05/22/2017] [Indexed: 11/26/2022]
Abstract
This study investigated the characteristics of the small-world brain network architecture of patients with mild traumatic brain injury (MTBI), and a correlation between brain functional connectivity network properties in the resting-state fMRI and Standardized Assessment of Concussion (SAC) parameters. The neurological conditions of 22 MTBI patients and 17 normal control individuals were evaluated according to the SAC. Resting-state fMRI was performed in all subjects 3 and 7days after injury respectively. After preprocessing the fMRI data, cortex functional regions were marked using AAL90 and Dosenbach160 templates. The small-world network parameters and areas under the integral curves were computed in the range of sparsity from 0.01 to 0.5. Independent-sample t-tests were used to compare these parameters between the MTBI and control group. Significantly different parameters were investigated for correlations with SAC scores; those that correlated were chosen for further curve fitting. The clustering coefficient, the communication efficiency across in local networks, and the strength of connectivity were all higher in MTBI patients relative to control individuals. Parameters in 160 brain regions of the MTBI group significantly correlated with total SAC score and score for attention; the network parameters may be a quadratic function of attention scores of SAC and a cubic function of SAC scores. MTBI patients were characterized by elevated communication efficiency across global brain regions, and in local networks, and strength of mean connectivity. These features may be associated with brain function compensation. The network parameters significantly correlated with SAC total and attention scores.
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Affiliation(s)
- Yan Yan
- Department of Neurosurgery, Wuhan General Hospital of PLA, No. 627 Wuluo Road, Wuhan, China
| | - Jian Song
- Department of Neurosurgery, Wuhan General Hospital of PLA, No. 627 Wuluo Road, Wuhan, China
| | - Guozheng Xu
- Department of Neurosurgery, Wuhan General Hospital of PLA, No. 627 Wuluo Road, Wuhan, China.
| | - Shun Yao
- Department of Neurosurgery, Wuhan General Hospital of PLA, No. 627 Wuluo Road, Wuhan, China
| | - Chenglong Cao
- Department of Neurosurgery, Wuhan General Hospital of PLA, No. 627 Wuluo Road, Wuhan, China
| | - Chang Li
- Department of Radiology, Wuhan General Hospital of PLA, No. 627 Wuluo Road, Wuhan, China
| | - Guibao Peng
- Department of Neurosurgery, Wuhan General Hospital of PLA, No. 627 Wuluo Road, Wuhan, China
| | - Hao Du
- Department of Neurosurgery, Wuhan General Hospital of PLA, No. 627 Wuluo Road, Wuhan, China
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47
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Diez I, Drijkoningen D, Stramaglia S, Bonifazi P, Marinazzo D, Gooijers J, Swinnen SP, Cortes JM. Enhanced prefrontal functional-structural networks to support postural control deficits after traumatic brain injury in a pediatric population. Netw Neurosci 2017; 1:116-142. [PMID: 29911675 PMCID: PMC5988395 DOI: 10.1162/netn_a_00007] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Accepted: 01/28/2017] [Indexed: 11/04/2022] Open
Abstract
Traumatic brain injury (TBI) affects structural connectivity, triggering the reorganization of structural-functional circuits in a manner that remains poorly understood. We focus here on brain network reorganization in relation to postural control deficits after TBI. We enrolled young participants who had suffered moderate to severe TBI, comparing them to young, typically developing control participants. TBI patients (but not controls) recruited prefrontal regions to interact with two separated networks: (1) a subcortical network, including parts of the motor network, basal ganglia, cerebellum, hippocampus, amygdala, posterior cingulate gyrus, and precuneus; and (2) a task-positive network, involving regions of the dorsal attention system, together with dorsolateral and ventrolateral prefrontal regions. We also found that the increased prefrontal connectivity in TBI patients was correlated with some postural control indices, such as the amount of body sway, whereby patients with worse balance increased their connectivity in frontal regions more strongly. The increased prefrontal connectivity found in TBI patients may provide the structural scaffolding for stronger cognitive control of certain behavioral functions, consistent with the observations that various motor tasks are performed less automatically following TBI and that more cognitive control is associated with such actions.
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Affiliation(s)
- Ibai Diez
- Biocruces Health Research Institute, Cruces University Hospital, Barakaldo, Spain
| | - David Drijkoningen
- KU Leuven, Movement Control and Neuroplasticity Research Group, Group Biomedical Sciences, Leuve, Belgium
| | - Sebastiano Stramaglia
- Dipartimento di Fisica, Universita degli Studi di Bari and INFN, Bari, Italy.,Basque Center for Applied Mathematics (BCAM), Bilbao, Spain
| | - Paolo Bonifazi
- Biocruces Health Research Institute, Cruces University Hospital, Barakaldo, Spain.,Ikerbasque: The Basque Foundation for Science, Bilbao, Spain
| | - Daniele Marinazzo
- Department of Data Analysis, Faculty of Psychological and Pedagogical Sciences, University of Ghent, Ghent, Belgium
| | - Jolien Gooijers
- KU Leuven, Movement Control and Neuroplasticity Research Group, Group Biomedical Sciences, Leuve, Belgium
| | - Stephan P Swinnen
- KU Leuven, Movement Control and Neuroplasticity Research Group, Group Biomedical Sciences, Leuve, Belgium.,KU Leuven, Leuven Research Institute for Neuroscience & Disease (LIND), Leuven, Belgium
| | - Jesus M Cortes
- Biocruces Health Research Institute, Cruces University Hospital, Barakaldo, Spain.,Ikerbasque: The Basque Foundation for Science, Bilbao, Spain.,Department of Cell Biology and Histology, University of the Basque Country, Leioa, Spain
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48
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Bassett DS, Khambhati AN. A network engineering perspective on probing and perturbing cognition with neurofeedback. Ann N Y Acad Sci 2017; 1396:126-143. [PMID: 28445589 PMCID: PMC5446287 DOI: 10.1111/nyas.13338] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Network science and engineering provide a flexible and generalizable tool set to describe and manipulate complex systems characterized by heterogeneous interaction patterns among component parts. While classically applied to social systems, these tools have recently proven to be particularly useful in the study of the brain. In this review, we describe the nascent use of these tools to understand human cognition, and we discuss their utility in informing the meaningful and predictable perturbation of cognition in combination with the emerging capabilities of neurofeedback. To blend these disparate strands of research, we build on emerging conceptualizations of how the brain functions (as a complex network) and how we can develop and target interventions or modulations (as a form of network control). We close with an outline of current frontiers that bridge neurofeedback, connectomics, and network control theory to better understand human cognition.
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Affiliation(s)
- Danielle S. Bassett
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPennsylvania
- Department of Electrical and Systems EngineeringUniversity of PennsylvaniaPhiladelphiaPennsylvania
| | - Ankit N. Khambhati
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPennsylvania
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49
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Hillary FG, Grafman JH. Injured Brains and Adaptive Networks: The Benefits and Costs of Hyperconnectivity. Trends Cogn Sci 2017; 21:385-401. [PMID: 28372878 PMCID: PMC6664441 DOI: 10.1016/j.tics.2017.03.003] [Citation(s) in RCA: 184] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Revised: 03/01/2017] [Accepted: 03/03/2017] [Indexed: 01/15/2023]
Abstract
A common finding in human functional brain-imaging studies is that damage to neural systems paradoxically results in enhanced functional connectivity between network regions, a phenomenon commonly referred to as 'hyperconnectivity'. Here, we describe the various ways that hyperconnectivity operates to benefit a neural network following injury while simultaneously negotiating the trade-off between metabolic cost and communication efficiency. Hyperconnectivity may be optimally expressed by increasing connections through the most central and metabolically efficient regions (i.e., hubs). While adaptive in the short term, we propose that chronic hyperconnectivity may leave network hubs vulnerable to secondary pathological processes over the life span due to chronically elevated metabolic stress. We conclude by offering novel, testable hypotheses for advancing our understanding of the role of hyperconnectivity in systems-level brain plasticity in neurological disorders.
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Affiliation(s)
- Frank G Hillary
- Pennsylvania State University, University Park, PA, USA; Social Life and Engineering Sciences Imaging Center, University Park, PA, USA; Department of Neurology, Hershey Medical Center, Hershey, PA, USA.
| | - Jordan H Grafman
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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50
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Königs M, van Heurn LWE, Bakx R, Vermeulen RJ, Goslings JC, Poll-The BT, van der Wees M, Catsman-Berrevoets CE, Oosterlaan J, Pouwels PJW. The structural connectome of children with traumatic brain injury. Hum Brain Mapp 2017; 38:3603-3614. [PMID: 28429381 DOI: 10.1002/hbm.23614] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 01/24/2017] [Accepted: 04/06/2017] [Indexed: 01/02/2023] Open
Abstract
This study aimed to investigate the impact of mild to severe pediatric TBI on the structural connectome. Children aged 8-14 years with trauma control (TC) injury (n = 27) were compared to children with mild TBI and risk factors for complicated TBI (mildRF+ , n = 20) or moderate/severe TBI (n = 16) at 2.8 years post-injury. Probabilistic tractography on diffusion tensor imaging data was used in combination with graph theory to study structural connectivity. Functional outcome was measured using neurocognitive tests and parent and teacher questionnaires for behavioral functioning. The results revealed no evidence for an impact of mildRF+ TBI on the structural connectome. In contrast, the moderate/severe TBI group showed longer characteristic path length (P = 0.022, d = 0.82) than the TC group. Furthermore, longer characteristic path length was related to poorer intelligence and poorer working memory in children with TBI. In conclusion, children have abnormal organization of the structural connectome after moderate/severe TBI, which may be implicated in neurocognitive dysfunction associated with pediatric TBI. These findings should be interpreted in the context of our exploratory analyses, which indicate that the definition and weighting of connectivity (e.g., streamline density, fractional anisotropy) influence the properties of the reconstructed connectome and its sensitivity to the impact and outcome of pediatric TBI. Hum Brain Mapp 38:3603-3614, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Marsh Königs
- Clinical Neuropsychology Section, VU University Amsterdam, Amsterdam, The Netherlands.,Emma Children's Hospital, Academic Medical Center, Amsterdam, The Netherlands
| | - L W Ernest van Heurn
- Pediatric Surgical Center of Amsterdam, Emma Children's Hospital Academic Medical Center and VU University Medical Center, Amsterdam, The Netherlands
| | - Roel Bakx
- Pediatric Surgical Center of Amsterdam, Emma Children's Hospital Academic Medical Center and VU University Medical Center, Amsterdam, The Netherlands
| | - R Jeroen Vermeulen
- Department of Pediatric Neurology, VU University Medical Center, Amsterdam, The Netherlands.,Department of Pediatric Neurology, Maastricht UMC+, Maastricht, The Netherlands
| | - J Carel Goslings
- Trauma Unit, Academic Medical Center, Amsterdam, The Netherlands
| | - Bwee Tien Poll-The
- Department of Pediatric Neurology, Emma Children's Hospital Academic Medical Centre, Amsterdam, The Netherlands
| | - Marleen van der Wees
- Libra Rehabilitation Medicine and Audiology, 'Blixembosch', Eindhoven, The Netherlands
| | - Coriene E Catsman-Berrevoets
- Department of Pediatric Neurology, Erasmus University Hospital/Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Jaap Oosterlaan
- Clinical Neuropsychology Section, VU University Amsterdam, Amsterdam, The Netherlands.,Emma Children's Hospital, Academic Medical Center, Amsterdam, The Netherlands.,Department of Pediatrics, VU University Medical Center, Amsterdam, The Netherlands
| | - Petra J W Pouwels
- Department of Physics and Medical Technology, VU University Medical Center, Amsterdam, The Netherlands.,Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
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