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Dogra S, Arabshahi S, Wei J, Saidenberg L, Kang SK, Chung S, Laine A, Lui YW. Functional Connectivity Changes on Resting-State fMRI after Mild Traumatic Brain Injury: A Systematic Review. AJNR Am J Neuroradiol 2024:ajnr.A8204. [PMID: 38637022 DOI: 10.3174/ajnr.a8204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 01/22/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Mild traumatic brain injury is theorized to cause widespread functional changes to the brain. Resting-state fMRI may be able to measure functional connectivity changes after traumatic brain injury, but resting-state fMRI studies are heterogeneous, using numerous techniques to study ROIs across various resting-state networks. PURPOSE We systematically reviewed the literature to ascertain whether adult patients who have experienced mild traumatic brain injury show consistent functional connectivity changes on resting-state -fMRI, compared with healthy patients. DATA SOURCES We used 5 databases (PubMed, EMBASE, Cochrane Central, Scopus, Web of Science). STUDY SELECTION Five databases (PubMed, EMBASE, Cochrane Central, Scopus, and Web of Science) were searched for research published since 2010. Search strategies used keywords of "functional MR imaging" and "mild traumatic brain injury" as well as related terms. All results were screened at the abstract and title levels by 4 reviewers according to predefined inclusion and exclusion criteria. For full-text inclusion, each study was evaluated independently by 2 reviewers, with discordant screening settled by consensus. DATA ANALYSIS Data regarding article characteristics, cohort demographics, fMRI scan parameters, data analysis processing software, atlas used, data characteristics, and statistical analysis information were extracted. DATA SYNTHESIS Across 66 studies, 80 areas were analyzed 239 times for at least 1 time point, most commonly using independent component analysis. The most analyzed areas and networks were the whole brain, the default mode network, and the salience network. Reported functional connectivity changes varied, though there may be a slight trend toward decreased whole-brain functional connectivity within 1 month of traumatic brain injury and there may be differences based on the time since injury. LIMITATIONS Studies of military, sports-related traumatic brain injury, and pediatric patients were excluded. Due to the high number of relevant studies and data heterogeneity, we could not be as granular in the analysis as we would have liked. CONCLUSIONS Reported functional connectivity changes varied, even within the same region and network, at least partially reflecting differences in technical parameters, preprocessing software, and analysis methods as well as probable differences in individual injury. There is a need for novel rs-fMRI techniques that better capture subject-specific functional connectivity changes.
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Affiliation(s)
- Siddhant Dogra
- From the Department of Radiology (S.D., J.W., S.K.K., S.C., Y.L.), New York University Grossman School of Medicine, New York, New York
| | - Soroush Arabshahi
- Department of Biomedical Engineering (S.A., A.L.), Department of Radiology, Columbia University, New York, New York
| | - Jason Wei
- From the Department of Radiology (S.D., J.W., S.K.K., S.C., Y.L.), New York University Grossman School of Medicine, New York, New York
| | - Lucia Saidenberg
- Department of Neurology (L.S.), Department of Radiology. New York University Grossman School of Medicine, New York, New York
| | - Stella K Kang
- From the Department of Radiology (S.D., J.W., S.K.K., S.C., Y.L.), New York University Grossman School of Medicine, New York, New York
| | - Sohae Chung
- From the Department of Radiology (S.D., J.W., S.K.K., S.C., Y.L.), New York University Grossman School of Medicine, New York, New York
| | - Andrew Laine
- Department of Biomedical Engineering (S.A., A.L.), Department of Radiology, Columbia University, New York, New York
| | - Yvonne W Lui
- From the Department of Radiology (S.D., J.W., S.K.K., S.C., Y.L.), New York University Grossman School of Medicine, New York, New York
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Shi L, Ren Z, Qiu J. High Thought Control Ability, High Resilience: The Effect of Temporal Cortex and Insula Connectivity. Neuroscience 2021; 472:60-67. [PMID: 34363870 DOI: 10.1016/j.neuroscience.2021.07.034] [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: 03/19/2021] [Revised: 07/23/2021] [Accepted: 07/26/2021] [Indexed: 10/20/2022]
Abstract
Psychological resilience is always portrayed as the ability to rebound from adversity, which is essential for human mental health. Whereas thought control ability (TCA) is a reliable indicator of perceptual cognitive control and has a predictive effect on psychopathology. Whether and how resilience correlates with thought control are still unclear. The current study explored the whole-brain functional connectivity underlying resilience and its role in the association between resilience and TCA using resting-state fMRI. Results reveled a significant positive correlation between resilience and the functional connectivity of temporal cortex-insula, suggesting that individuals with high resilient ability exhibit flexible interaction between these two regions to facilitate emotional information processing. More importantly, a significant positive correlation between TCA and resilience was observed, and the functional connectivity of temporal cortex-insula has a significant mediation effect on the association between TCA and psychological resilience, revealing that individuals with high TCA show high levels of resilience ability through robust cognitive control on unwanted thoughts. In short, these results extended previous findings by shedding novel insights into the close relationship between resilience and TCA and the underlying neural mechanism.
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Affiliation(s)
- Liang Shi
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute of Brain Research, Beijing Normal University, Beijing 100875, China; Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Zhiting Ren
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University, Chongqing 400715, China; Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality at Beijing Normal University, Chongqing 400715, China.
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Amir J, Nair JKR, Del Carpio-O'Donovan R, Ptito A, Chen JK, Chankowsky J, Tinawi S, Lunkova E, Saluja RS. Atypical resting state functional connectivity in mild traumatic brain injury. Brain Behav 2021; 11:e2261. [PMID: 34152089 PMCID: PMC8413771 DOI: 10.1002/brb3.2261] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 06/08/2021] [Accepted: 06/08/2021] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES This study aimed to investigate changes in three intrinsic functional connectivity networks (IFCNs; default mode network [DMN], salience network [SN], and task-positive network [TPN]) in individuals who had sustained a mild traumatic brain injury (mTBI). METHODS Resting-state functional magnetic resonance imaging (rs-fMRI) data were acquired from 27 mTBI patients with persistent postconcussive symptoms, along with 26 age- and sex-matched controls. These individuals were recruited from a Level-1 trauma center, at least 3 months after a traumatic episode. IFCNs were established based on seed-to-voxel, region-of-interest (ROI) to ROI, and independent component analyses (ICA). Subsequently, we analyzed the relationship between functional connectivity and postconcussive symptoms. RESULTS Seed-to-voxel analysis of rs-fMRI demonstrated decreased functional connectivity in the right lateral parietal lobe, part of the DMN, and increased functional connectivity in the supramarginal gyrus, part of the SN. Our TPN showed both hypo- and hyperconnectivity dependent on seed location. Within network hypoconnectivity was observed in the visual network also using group comparison. Using an ICA, we identified altered network functional connectivity in regions within four IFCNs (sensorimotor, visual, DMN, and dorsal attentional). A significant negative correlation between dorsal attentional network connectivity and behavioral symptoms score was also found. CONCLUSIONS Our findings indicate that rs-fMRI may be of use clinically in order to assess disrupted functional connectivity among IFCNs in mTBI patients. Improved mTBI diagnostic and prognostic information could be especially relevant for athletes looking to safely return to play, as well for individuals from the general population with persistent postconcussive symptoms months after injury, who hope to resume activity.
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Affiliation(s)
- Joelle Amir
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | | | | | - Alain Ptito
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.,Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Jen-Kai Chen
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Jeffrey Chankowsky
- Department of Radiology, McGill University Health Centre, Montreal, Quebec, Canada
| | - Simon Tinawi
- Department of Rehabilitation Medicine, McGill University Health Centre, Montreal, Quebec, Canada
| | - Ekaterina Lunkova
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Rajeet Singh Saluja
- Department of Radiology, McGill University Health Centre, Montreal, Quebec, Canada.,Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
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Altered Small-World Functional Network Topology in Patients with Optic Neuritis: A Resting-State fMRI Study. DISEASE MARKERS 2021; 2021:9948751. [PMID: 34221189 PMCID: PMC8219459 DOI: 10.1155/2021/9948751] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 04/26/2021] [Accepted: 05/26/2021] [Indexed: 12/17/2022]
Abstract
Aim This study investigated changes in small-world topology and brain functional connectivity in patients with optic neuritis (ON) by resting-state functional magnetic resonance imaging (rs-fMRI) and based on graph theory. Methods A total of 21 patients with ON (8 males and 13 females) and 21 matched healthy control subjects (8 males and 13 females) were enrolled and underwent rs-fMRI. Data were preprocessed and the brain was divided into 116 regions of interest. Small-world network parameters and area under the integral curve (AUC) were calculated from pairwise brain interval correlation coefficients. Differences in brain network parameter AUCs between the 2 groups were evaluated with the independent sample t-test, and changes in brain connection strength between ON patients and control subjects were assessed by network-based statistical analysis. Results In the sparsity range from 0.08 to 0.48, both groups exhibited small-world attributes. Compared to the control group, global network efficiency, normalized clustering coefficient, and small-world value were higher whereas the clustering coefficient value was lower in ON patients. There were no differences in characteristic path length, local network efficiency, and normalized characteristic path length between groups. In addition, ON patients had lower brain functional connectivity strength among the rolandic operculum, medial superior frontal gyrus, insula, median cingulate and paracingulate gyri, amygdala, superior parietal gyrus, inferior parietal gyrus, supramarginal gyrus, angular gyrus, lenticular nucleus, pallidum, superior temporal gyrus, and cerebellum compared to the control group (P < 0.05). Conclusion Patients with ON show typical "small world" topology that differed from that detected in HC brain networks. The brain network in ON has a small-world attribute but shows reduced and abnormal connectivity compared to normal subjects and likely causes symptoms of cognitive impairment.
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Puig J, Ellis MJ, Kornelsen J, Figley TD, Figley CR, Daunis-i-Estadella P, Mutch WAC, Essig M. Magnetic Resonance Imaging Biomarkers of Brain Connectivity in Predicting Outcome after Mild Traumatic Brain Injury: A Systematic Review. J Neurotrauma 2020; 37:1761-1776. [DOI: 10.1089/neu.2019.6623] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Affiliation(s)
- Josep Puig
- Department of Radiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Department of Radiology (IDI), Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr. Josep Trueta, Girona, Spain
| | - Michael J. Ellis
- Canada North Concussion Network, Winnipeg, Manitoba, Canada
- Department of Surgery and Pediatrics and Child Health, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Section of Neurosurgery, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Pan Am Concussion Program, Winnipeg, Manitoba, Canada
- Childrens Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada
| | - Jennifer Kornelsen
- Department of Radiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Center, Winnipeg, Manitoba, Canada
- Department of Physiology and Pathophysiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Teresa D. Figley
- Department of Radiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Center, Winnipeg, Manitoba, Canada
| | - Chase R. Figley
- Department of Radiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Center, Winnipeg, Manitoba, Canada
- Department of Physiology and Pathophysiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Pepus Daunis-i-Estadella
- Department of Computer Science, Applied Mathematics and Statistics, Universitat de Girona, Girona, Spain
| | - W. Alan C. Mutch
- Canada North Concussion Network, Winnipeg, Manitoba, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Center, Winnipeg, Manitoba, Canada
- Department of Anesthesiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Marco Essig
- Department of Radiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Canada North Concussion Network, Winnipeg, Manitoba, Canada
- Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Center, Winnipeg, Manitoba, Canada
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Kaushal M, España LY, Nencka AS, Wang Y, Nelson LD, McCrea MA, Meier TB. Resting-state functional connectivity after concussion is associated with clinical recovery. Hum Brain Mapp 2018; 40:1211-1220. [PMID: 30451340 DOI: 10.1002/hbm.24440] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 10/05/2018] [Accepted: 10/12/2018] [Indexed: 12/12/2022] Open
Abstract
There has been a recent call for longitudinal imaging studies to better characterize the time course of physiological recovery following sport-related concussion (SRC) and its relationship with clinical recovery. To address this, we evaluated changes to resting-state functional connectivity (rs-FC) of the whole-brain network following SRC and explored associations between rs-FC and measures of clinical outcome. High school and collegiate football athletes were enrolled during preseason. Athletes that suffered SRC (N = 62) were assessed across the acute (within 48 hr) and sub-acute (days 8, 15, and 45) phases. Matched football athletes without concussion served as controls (N = 60) and participated in similar visits. Multi-band resting-state fMRI was used to assess whole-brain rs-FC at each visit using network-based statistic and average nodal strength from regions of interest defined using a common whole-brain parcellation. Concussed athletes had elevated symptoms, psychological distress, and oculomotor, balance, and memory deficits at 48 hr postconcussion relative to controls, with diminished yet significant elevations in symptoms and psychological distress at 8 days. Both rs-FC analyses showed that concussed athletes had a global increase in connectivity at 8 days postconcussion relative to controls, with no differences at the 48-hr, 15-day, or 45-day visits. Further analysis revealed the group effect at the 8-day visit was driven by the large minority of concussed athletes still symptomatic at their visit; asymptomatic concussed athletes did not differ from controls. Findings from this large-scale, prospective study suggest whole-brain rs-FC alterations following SRC are delayed in onset but associated with the presence of self-reported symptoms.
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Affiliation(s)
- Mayank Kaushal
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Lezlie Y España
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Andrew S Nencka
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Yang Wang
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Lindsay D Nelson
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin.,Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Michael A McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin.,Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Timothy B Meier
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin.,Department of Cell Biology, Neurobiology and Anatomy, Medical College of Wisconsin, Milwaukee, Wisconsin
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