Differences in Cortical Sources of the Event-Related P3 Potential Between Young and Old Participants Indicate Frontal Compensation

The event-related P3 potential, as elicited in auditory signal detection tasks, originates from neural activity of multiple cortical structures and presumably reflects an overlap of several cognitive processes. The fact that the P3 is affected by aging makes it a potential metric for age-related cognitive change. The P3 in older participants is thought to encompass frontal compensatory activity in addition to task-related processes. The current study investigates this by decomposing the P3 using group independent component analysis (ICA). Independent components (IC) of young and old participants were compared in order to investigate the effects of aging. Exact low-resolution tomography analysis (eLORETA) was used to compare current source densities between young and old participants for the P3-ICs to localize differences in cortical source activity for every IC. One of the P3-related ICs reflected a different constellation of cortical generators in older participants compared to younger participants, suggesting that this P3-IC reflects shifts in neural activations and compensatory processes with aging. This P3-IC was localized to the orbitofrontal/temporal, and the medio-parietal regions. For this IC, older participants showed more frontal activation and less parietal activation as measured on the scalp. The differences in cortical sources were localized in the precentral gyrus and the parahippocampal gyrus. This finding might reflect compensatory activity recruited from these cortical sources during a signal detection task.

[1]  E. John,et al.  Evoked-Potential Correlates of Stimulus Uncertainty , 1965, Science.

[2]  H G Vaughan,et al.  Averaged Evoked Responses in Vigilance and Discrimination: A Reassessment , 1969, Science.

[3]  D. Lehmann,et al.  Reference-free identification of components of checkerboard-evoked multichannel potential fields. , 1980, Electroencephalography and clinical neurophysiology.

[4]  E Donchin,et al.  A new method for off-line removal of ocular artifact. , 1983, Electroencephalography and clinical neurophysiology.

[5]  D. Lehmann,et al.  Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. , 1994, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[6]  J. Polich,et al.  Meta-analysis of P300 normative aging studies. , 1996, Psychophysiology.

[7]  D Friedman,et al.  An overview of age-related changes in the scalp distribution of P3b. , 1997, Electroencephalography and clinical neurophysiology.

[8]  Ramesh Srinivasan,et al.  Estimating the spatial Nyquist of the human EEG , 1998 .

[9]  T. Sejnowski,et al.  Functionally Independent Components of the Late Positive Event-Related Potential during Visual Spatial Attention , 1999, The Journal of Neuroscience.

[10]  J L Lancaster,et al.  Automated Talairach Atlas labels for functional brain mapping , 2000, Human brain mapping.

[11]  J Mazziotta,et al.  A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM). , 2001, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[12]  E. Donchin,et al.  Spatiotemporal analysis of the late ERP responses to deviant stimuli. , 2001, Psychophysiology.

[13]  Robert Oostenveld,et al.  The five percent electrode system for high-resolution EEG and ERP measurements , 2001, Clinical Neurophysiology.

[14]  M. Fuchs,et al.  A standardized boundary element method volume conductor model , 2002, Clinical Neurophysiology.

[15]  Roberto D. Pascual-Marqui,et al.  Functional imaging with low resolution brain electromagnetic tomography (LORETA) : review, new comparisons, and new validation , 2002 .

[16]  R D Pascual-Marqui,et al.  Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. , 2002, Methods and findings in experimental and clinical pharmacology.

[17]  Roberto Cabeza,et al.  Aging Gracefully: Compensatory Brain Activity in High-Performing Older Adults , 2002, NeuroImage.

[18]  R. Cabeza.  Hemispheric asymmetry reduction in older adults: the HAROLD model. , 2002, Psychology and aging.

[19]  Christoph M. Michel,et al.  Epileptic source localization with high density EEG: how many electrodes are needed? , 2003, Clinical Neurophysiology.

[20]  D. Friedman.  Cognition and Aging: A Highly Selective Overview of Event-Related Potential (ERP) Data , 2003, Journal of clinical and experimental neuropsychology.

[21]  M. Murray,et al.  EEG source imaging , 2004, Clinical Neurophysiology.

[22]  Georg Juckel,et al.  Dipole Localization of P300 and Normal Aging , 2004, Brain Topography.

[23]  Aapo Hyvärinen,et al.  Validating the independent components of neuroimaging time series via clustering and visualization , 2004, NeuroImage.

[24]  Wolfgang Skrandies,et al.  Global field power and topographic similarity , 2005, Brain Topography.

[25]  A. Engel,et al.  What is novel in the novelty oddball paradigm? Functional significance of the novelty P3 event-related potential as revealed by independent component analysis. , 2005, Brain research. Cognitive brain research.

[26]  Roberto D. Pascual-Marqui,et al.  Discrete, 3D distributed, linear imaging methods of electric neuronal activity. Part 1: exact, zero error localization , 2007, 0710.3341.

[27]  Andrew R. A. Conway,et al.  Working memory, attention control, and the N-back task: a question of construct validity. , 2007, Journal of experimental psychology. Learning, memory, and cognition.

[28]  Valer Jurcak,et al.  10/20, 10/10, and 10/5 systems revisited: Their validity as relative head-surface-based positioning systems , 2007, NeuroImage.

[29]  P. Reuter-Lorenz,et al.  Neurocognitive Aging and the Compensation Hypothesis , 2008 .

[30]  D. Bowers,et al.  Is the n-back task a valid neuropsychological measure for assessing working memory? , 2009, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[31]  Gregor Leicht,et al.  EEG-vigilance and BOLD effect during simultaneous EEG/fMRI measurement , 2009, NeuroImage.

[32]  Patricia A. Reuter-Lorenz,et al.  Age differences in prefontal recruitment during verbal working memory maintenance depend on memory load , 2010, Cortex.

[33]  Hillary D. Schwarb,et al.  The influence of age and individual differences in executive function on stimulus processing in the oddball task , 2010, Cortex.

[34]  Vince D. Calhoun,et al.  EEGIFT: Group Independent Component Analysis for Event-Related EEG Data , 2011, Comput. Intell. Neurosci..

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

[36]  S. Wisniewski,et al.  International Study to Predict Optimized Treatment for Depression (iSPOT-D), a randomized clinical trial: rationale and protocol , 2011, Trials.

[37]  S. Wisniewski,et al.  International Study to Predict Optimized Treatment for Depression (iSPOT-D), a randomized clinical trial: Rationale and protocol , 2011 .

[38]  R. O’Connell,et al.  A simultaneous ERP/fMRI investigation of the P300 aging effect , 2012, Neurobiology of Aging.

[39]  R. Knight,et al.  Age-related frontoparietal changes during the control of bottom-up and top-down attention: an ERP study , 2013, Neurobiology of Aging.

[40]  C. Gonsalvez,et al.  Can working memory predict target-to-target interval effects in the P300? , 2013, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[41]  David A. Bridwell,et al.  Patients with schizophrenia demonstrate reduced cortical sensitivity to auditory oddball regularities , 2014, Schizophrenia Research.

[42]  M. Arns,et al.  P300 Development across the Lifespan: A Systematic Review and Meta-Analysis , 2014, PloS one.

[43]  M. Arns,et al.  Combined frontal and parietal P300 amplitudes indicate compensated cognitive processing across the lifespan , 2014, Front. Aging Neurosci..

[44]  Vince D. Calhoun,et al.  Group-level component analyses of EEG: validation and evaluation , 2015, Front. Neurosci..

[45]  E. Gordon,et al.  Utility of event-related potentials in predicting antidepressant treatment response: An iSPOT-D report , 2015, European Neuropsychopharmacology.

[46]  M. Tsolaki,et al.  Brain source localization of MMN, P300 and N400: Aging and gender differences , 2015, Brain Research.

[47]  Sander Nieuwenhuis,et al.  Noradrenergic and cholinergic modulation of late ERP responses to deviant stimuli. , 2015, Psychophysiology.

[48]  Roy P. C. Kessels,et al.  P 300 Development across the Lifespan : A Systematic Review and Meta-Analysis , 2017 .