Brain activation profiles in mTBI: Evidence from ERP activity of working memory response

In this study we analyzed event related potentials (ERPs) obtained in an N-back working memory test that varied in difficulty from 0- to 2-back. We collected 21 channels of activity from 11 mild traumatic brain injury (mTBI) patients and 7 normal controls, on three different visits, and used the amplitude and latency of the P300 component to characterize the subjects. A preprocessing procedure based on independent component analysis was used first to identify and eliminate electrophysiological noise on a single trial basis. Then to obtain more reliable statistics, the recording electrodes were lumped into five main groups corresponding roughly to frontal, central, parietal, and left and right temporal brain regions. For each subject, the P300 amplitude and latency were measured after averaging the activity of all channels in each group. Group analyses showed that latencies in the central region were significantly shorter in controls, at every visit for the 2-back test. The lack of significant differences across the three visits for the mTBI group indicates that mTBI subjects are not improving at the rate that might have been expected, confirming previous reports that mTBI deficits may persist for years.

[1]  George Zouridakis,et al.  FUNCTIONAL CONNECTIVITY CHANGES IN MILD TRAUMATIC BRAIN INJURY ASSESSED USING MAGNETOENCEPHALOGRAPHY , 2012 .

[2]  L. Reder,et al.  Individual differences in working memory capacity are reflected in different ERP and EEG patterns to task difficulty , 2015, Brain Research.

[3]  Javier M. Buldú,et al.  Principles of recovery from traumatic brain injury: Reorganization of functional networks , 2011, NeuroImage.

[4]  E Pellouchoud,et al.  Neurophysiological signals of working memory in normal aging. , 2001, Brain research. Cognitive brain research.

[5]  Sylvain Bouix,et al.  Microstructural white matter alterations in acutely concussed ice hockey players : a longitudinal free-water MRI study , 2022 .

[6]  Peter Savadjiev,et al.  Hockey Concussion Education Project, Part 3. White matter microstructure in ice hockey players with a history of concussion: a diffusion tensor imaging study. , 2014, Journal of neurosurgery.

[7]  Kathryn M. McMillan,et al.  N‐back working memory paradigm: A meta‐analysis of normative functional neuroimaging studies , 2005, Human brain mapping.

[8]  A. Baddeley Working memory: looking back and looking forward , 2003, Nature Reviews Neuroscience.

[9]  Susanne M. Jaeggi,et al.  On how high performers keep cool brains in situations of cognitive overload , 2007, Cognitive, affective & behavioral neuroscience.

[10]  S. Micheloyannis,et al.  Altered cross-frequency coupling in resting-state MEG after mild traumatic brain injury. , 2016, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[11]  Edward E. Smith,et al.  A Parametric Study of Prefrontal Cortex Involvement in Human Working Memory , 1996, NeuroImage.

[12]  George Zouridakis,et al.  Information Communication Networks in Severe Traumatic Brain Injury , 2010, Brain Topography.

[13]  N. Andelic,et al.  Post-concussion symptoms after traumatic brain injury at 3 and 12 months post-injury: A prospective study , 2009, Brain injury.

[14]  A. Gevins,et al.  Neurophysiological measures of working memory and individual differences in cognitive ability and cognitive style. , 2000, Cerebral cortex.

[15]  J. Borg,et al.  Incidence, risk factors and prevention of mild traumatic brain injury: results of the WHO Collaborating Centre Task Force on Mild Traumatic Brain Injury. , 2004, Journal of rehabilitation medicine.

[16]  Lianyang Li,et al.  Brain activation profiles in mTBI: Evidence from combined resting-state EEG and MEG activity , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[17]  David W Wright,et al.  Position statement: definition of traumatic brain injury. , 2010, Archives of physical medicine and rehabilitation.

[18]  L. Reder,et al.  Effective connectivity among the working memory regions during preparation for and during performance of the n-back task , 2014, Front. Hum. Neurosci..

[19]  G. Geffen,et al.  The n-back as a dual-task: P300 morphology under divided attention. , 2001, Psychophysiology.

[20]  Mirka Pesonen,et al.  Brain oscillatory 4–30 Hz responses during a visual n-back memory task with varying memory load , 2007, Brain Research.

[21]  Phillip J. Holcomb,et al.  Mechanisms Underlying Age- and Performance-related Differences in Working Memory , 2011, Journal of Cognitive Neuroscience.

[22]  V. Latora,et al.  Complex networks: Structure and dynamics , 2006 .

[23]  George Zouridakis,et al.  Functional connectivity changes detected with magnetoencephalography after mild traumatic brain injury , 2015, NeuroImage: Clinical.

[24]  Sara C. LaHue,et al.  Resting state magnetoencephalography functional connectivity in traumatic brain injury. , 2013, Journal of neurosurgery.