Literature DB >> 23994210

Default mode network interference in mild traumatic brain injury - a pilot resting state study.

Chandler Sours1, Jiachen Zhuo, Jacqueline Janowich, Bizhan Aarabi, Kathirkamanthan Shanmuganathan, Rao P Gullapalli.   

Abstract

In this study we investigated the functional connectivity in 23 Mild TBI (mTBI) patients with and without memory complaints using resting state fMRI in the sub-acute stage of injury as well as a group of control participants. Results indicate that mTBI patients with memory complaints performed significantly worse than patients without memory complaints on tests assessing memory from the Automated Neuropsychological Assessment Metrics (ANAM). Altered functional connectivity was observed between the three groups between the default mode network (DMN) and the nodes of the task positive network (TPN). Altered functional connectivity was also observed between both the TPN and DMN and nodes associated with the Salience Network (SN). Following mTBI there is a reduction in anti-correlated networks for both those with and without memory complaints for the DMN, but only a reduction in the anti-correlated network in mTBI patients with memory complaints for the TPN. Furthermore, an increased functional connectivity between the TPN and SN appears to be associated with reduced performance on memory assessments. Overall the results suggest that a disruption in the segregation of the DMN and the TPN at rest may be mediated through both a direct pathway of increased FC between various nodes of the TPN and DMN, and through an indirect pathway that links the TPN and DMN through nodes of the SN. This disruption between networks may cause a detrimental impact on memory functioning following mTBI, supporting the Default Mode Interference Hypothesis in the context of mTBI related memory deficits.
© 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Default mode network; Mild traumatic brain injury; Resting state fMRI; Working memory

Mesh:

Year:  2013        PMID: 23994210      PMCID: PMC3835746          DOI: 10.1016/j.brainres.2013.08.034

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  42 in total

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Journal:  Arch Neurol       Date:  2011-01

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3.  Salience network integrity predicts default mode network function after traumatic brain injury.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-05       Impact factor: 11.205

4.  Functional connectivity in mild traumatic brain injury.

Authors:  Andrew R Mayer; Maggie V Mannell; Josef Ling; Charles Gasparovic; Ronald A Yeo
Journal:  Hum Brain Mapp       Date:  2011-01-21       Impact factor: 5.038

5.  Alteration of brain default network in subacute phase of injury in concussed individuals: resting-state fMRI study.

Authors:  Brian Johnson; Kai Zhang; Michael Gay; Silvina Horovitz; Mark Hallett; Wayne Sebastianelli; Semyon Slobounov
Journal:  Neuroimage       Date:  2011-08-07       Impact factor: 6.556

6.  Functional connectivity between task-positive and task-negative brain areas and its relation to working memory performance.

Authors:  Michelle Hampson; Naomi Driesen; Jennifer K Roth; John C Gore; R Todd Constable
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7.  Changes in resting connectivity during recovery from severe traumatic brain injury.

Authors:  F G Hillary; J Slocomb; E C Hills; N M Fitzpatrick; J D Medaglia; J Wang; D C Good; G R Wylie
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8.  Default-mode network disruption in mild traumatic brain injury.

Authors:  Yongxia Zhou; Michael P Milham; Yvonne W Lui; Laura Miles; Joseph Reaume; Daniel K Sodickson; Robert I Grossman; Yulin Ge
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Authors:  Maki Kasahara; David K Menon; Claire H Salmond; Joanne G Outtrim; Joana V Taylor Tavares; T Adrian Carpenter; John D Pickard; Barbara J Sahakian; Emmanuel A Stamatakis
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10.  Task-induced deactivation from rest extends beyond the default mode brain network.

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  42 in total

1.  Resting-State Functional Connectivity Alterations Associated with Six-Month Outcomes in Mild Traumatic Brain Injury.

Authors:  Eva M Palacios; Esther L Yuh; Yi-Shin Chang; John K Yue; David M Schnyer; David O Okonkwo; Alex B Valadka; Wayne A Gordon; Andrew I R Maas; Mary Vassar; Geoffrey T Manley; Pratik Mukherjee
Journal:  J Neurotrauma       Date:  2017-01-13       Impact factor: 5.269

2.  Brain bases of recovery following cognitive rehabilitation for traumatic brain injury: a preliminary study.

Authors:  Sarah I Gimbel; Mark L Ettenhofer; Evelyn Cordero; Michael Roy; Leighton Chan
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3.  Altered functional connectivity in children with mild to moderate TBI relates to motor control.

Authors:  S R Risen; A D Barber; S H Mostofsky; S J Suskauer
Journal:  J Pediatr Rehabil Med       Date:  2015

4.  Hyper-connectivity of the thalamus during early stages following mild traumatic brain injury.

Authors:  Chandler Sours; Elijah O George; Jiachen Zhuo; Steven Roys; Rao P Gullapalli
Journal:  Brain Imaging Behav       Date:  2015-09       Impact factor: 3.978

5.  Static and Dynamic Intrinsic Connectivity following Mild Traumatic Brain Injury.

Authors:  Andrew R Mayer; Josef M Ling; Elena A Allen; Stefan D Klimaj; Ronald A Yeo; Faith M Hanlon
Journal:  J Neurotrauma       Date:  2015-03-12       Impact factor: 5.269

6.  Alterations of connectivity patterns in functional brain networks in patients with mild traumatic brain injury: A longitudinal resting-state functional magnetic resonance imaging study.

Authors:  Maria M D'Souza; Mukesh Kumar; Ajay Choudhary; Prabhjot Kaur; Pawan Kumar; Poonam Rana; Richa Trivedi; Tarun Sekhri; Ajay K Singh
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7.  Associations between interhemispheric functional connectivity and the Automated Neuropsychological Assessment Metrics (ANAM) in civilian mild TBI.

Authors:  Chandler Sours; Joseph Rosenberg; Robert Kane; Steve Roys; Jiachen Zhuo; Kathirkamanthan Shanmuganathan; Rao P Gullapalli
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8.  Magnetoencephalography-based identification of functional connectivity network disruption following mild traumatic brain injury.

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Review 9.  Neuroimaging of epilepsy: lesions, networks, oscillations.

Authors:  E Abela; C Rummel; M Hauf; C Weisstanner; K Schindler; R Wiest
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10.  Detection of Mild Traumatic Brain Injury by Machine Learning Classification Using Resting State Functional Network Connectivity and Fractional Anisotropy.

Authors:  Victor M Vergara; Andrew R Mayer; Eswar Damaraju; Kent A Kiehl; Vince Calhoun
Journal:  J Neurotrauma       Date:  2016-11-21       Impact factor: 5.269

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