3D Statistical Parametric Mapping of quiet sleep EEG in the first year of life

This paper extends previously developed 3D SPM for Electrophysiological Source Imaging (Bosch et al., 2001) for neonate EEG. It builds on a prior paper by our group that established age dependent means and standard deviations for the scalp EEG Broad Band Spectral Parameters of children in the first year of life. We now present developmental equations for the narrow band log spectral power of EEG sources, obtained from a sample of 93 normal neonates from age 1 to 10 months in quiet sleep. The main finding from these regressions is that EEG power from 0.78 to 7.5 Hz decreases with age and also for 45-50 Hz. By contrast, there is an increase with age in the frequency band of 19-32 Hz localized to parietal, temporal and occipital areas. Deviations from the norm were analyzed for normal neonates and 17 with brain damage. The diagnostic accuracy (measured by the area under the ROC curve) of EEG source SPM is 0.80, 0.69 for average reference scalp EEG SPM, and 0.48 for Laplacian EEG SPM. This superior performance of 3D SPM over scalp qEEG suggests that it might be a promising approach for the evaluation of brain damage in the first year of life.

[1]  N. Trujillo-Barreto,et al.  3D Statistical Parametric Mapping of EEG Source Spectra by Means of Variable Resolution Electromagnetic Tomography (VARETA) , 2001, Clinical EEG.

[2]  T. Fernández,et al.  Comparison of Z and multivariate statistical brain electromagnetic maps for the localization of brain lesions. , 1995, Electroencephalography and clinical neurophysiology.

[3]  John Suckling,et al.  Power calculations for multicenter imaging studies controlled by the false discovery rate , 2010, Human brain mapping.

[4]  R. Chabot,et al.  QEEG Studies in the Assessment and Treatment of Childhood Disorders , 2009, Clinical EEG and neuroscience.

[5]  E. Gordon,et al.  Integrative Neuroscience: The Role of a Standardized Database , 2005, Clinical EEG and neuroscience.

[6]  G. Dumermuth,et al.  EEG spectral power and coherence analysis in healthy full-term neonates. , 1984, Neuropediatrics.

[7]  Dietrich Lehmann,et al.  Coherence and phase locking in the scalp EEG and between LORETA model sources, and microstates as putative mechanisms of brain temporo-spatial functional organization , 2006, Journal of Physiology-Paris.

[8]  B. E. Gridley,et al.  Review of the Bayley Scales of Infant Development—Second edition , 1994 .

[9]  T. Fernández,et al.  Correlation between computed tomography and voltage and current source density spectral EEG parameters in patients with brain lesions. , 1993, Electroencephalography and clinical neurophysiology.

[10]  D. Rosenfeld,et al.  Topographic mapping of brain potentials in the newborn infant: the establishment of normal values and utility in assessing infants with neurological injury , 2000, Acta paediatrica.

[11]  P. Valdés,et al.  EEG developmental equations confirmed for Cuban schoolchildren. , 1987, Electroencephalography and clinical neurophysiology.

[12]  P. Valdés,et al.  A global scale factor in brain topography. , 1994, The International journal of neuroscience.

[13]  L. Feinendegen,et al.  Developmental Equations for the Electroencephalogram , 2012 .

[14]  R. Thatcher,et al.  Evaluation and Validity of a LORETA Normative EEG Database , 2005, Clinical EEG and neuroscience.

[15]  Anthony G Marson,et al.  Spectral Analysis of Electroencephalography in Premature Newborn Infants: Normal Ranges , 2005, Pediatric Research.

[16]  Ingmar Rosén,et al.  An Atlas of Amplitude-Integrated EEGs in the Newborn , 2002 .

[17]  S. Bambang Oetomo,et al.  Quantitative Analysis of Amplitude-Integrated Electroencephalogram Patterns in Stable Preterm Infants, with Normal Neurological Development at One Year , 2009, Neonatology.

[18]  Nancy A Obuchowski,et al.  An ROC‐type measure of diagnostic accuracy when the gold standard is continuous‐scale , 2006, Statistics in medicine.

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

[20]  Hilde M. Huizenga,et al.  Multivariate normative comparisons , 2007, Neuropsychologia.

[21]  P. Valdés,et al.  Multivariate statistical brain electromagnetic mapping , 2005, Brain Topography.

[22]  I. Korotchikova,et al.  EEG in the healthy term newborn within 12hours of birth , 2009, Clinical Neurophysiology.

[23]  Richard Berg,et al.  Sensitivity and specificity. , 2005, Clinical medicine & research.

[24]  P. Valdés,et al.  QEEG in a Public Health system , 2005, Brain Topography.

[25]  B. Ripley,et al.  Robust Statistics , 2018, Encyclopedia of Mathematical Geosciences.

[26]  K. Hagbarth,et al.  Conductivity ratios of the scalp-skull-brain head model in estimating equivalent dipole sources in human brain , 1995, Neuroscience Research.

[27]  Svojmil Petránek,et al.  Quantitative topographic differentiation of the neonatal EEG , 2006, Clinical Neurophysiology.

[28]  Christopher D. Chambers,et al.  Current perspectives and methods in studying neural mechanisms of multisensory interactions , 2012, Neuroscience & Biobehavioral Reviews.

[29]  Eduardo Martínez-Montes,et al.  EEG source imaging with spatio‐temporal tomographic nonnegative independent component analysis , 2009, Human brain mapping.

[30]  Felix Darvas,et al.  Generic head models for atlas‐based EEG source analysis , 2006, Human brain mapping.

[31]  Thom F. Oostendorp,et al.  The conductivity of the human skull: results of in vivo and in vitro measurements , 2000, IEEE Transactions on Biomedical Engineering.

[32]  T. Koenig,et al.  Low resolution brain electromagnetic tomography (LORETA) functional imaging in acute, neuroleptic-naive, first-episode, productive schizophrenia , 1999, Psychiatry Research: Neuroimaging.

[33]  J. P. Joseph,et al.  Spatio-temporal organization of EEG in premature infants and full-term new-borns. , 1976, Electroencephalography and clinical neurophysiology.

[34]  Daniel Rueckert,et al.  A dynamic 4D probabilistic atlas of the developing brain , 2011, NeuroImage.

[35]  Lourdes Valdés-Urrutia,et al.  White matter architecture rather than cortical surface area correlates with the EEG alpha rhythm , 2010, NeuroImage.

[36]  R. Thatcher,et al.  Quantitative EEG Normative Databases: Validation and Clinical Correlation , 2003 .

[37]  K. Jellinger,et al.  Niedermeyer's Electroencephalography: Basic Principles, Clinical Applications, and Related Fields, 6th edn , 2011 .

[38]  T Fernández,et al.  Effect of sex, psychosocial disadvantages and biological risk factors on EEG maturation. , 1990, Electroencephalography and clinical neurophysiology.

[39]  R. Pascual-Marqui,et al.  Current source density estimation and interpolation based on the spherical harmonic Fourier expansion. , 1988, The International journal of neuroscience.

[40]  M. Scher.  Ontogeny of EEG sleep from neonatal through infancy periods. , 2011, Handbook of clinical neurology.

[41]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[42]  O. Rosso,et al.  The Australian EEG Database , 2005, Clinical EEG and neuroscience.

[43]  N. Bayley.  Bayley Scales of Infant Development , 1999 .

[44]  W. Drongelen,et al.  Estimation of in vivo human brain-to-skull conductivity ratio from simultaneous extra- and intra-cranial electrical potential recordings , 2005, Clinical Neurophysiology.

[45]  Lucas C. Parra,et al.  Bilinear Discriminant Component Analysis , 2007, J. Mach. Learn. Res..

[46]  S. Kochen,et al.  Approximate average head models for EEG source imaging , 2009, Journal of Neuroscience Methods.

[47]  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.

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

[49]  R. H. Jindra,et al.  Handbook of electroencephalography and clinical neurophysiology Vol. 5,B. A. Remond (ed.-in-chief). Evaluation of bioelectrical data from brain, nerve and muscle—II. M. A. B. Brazier & D. O. Walter (eds). EEG topography. H. Petsche (ed.). Elsevier, Amsterdam (1972). 84 pp , 1979, Neuroscience.

[50]  Jorge J. Riera,et al.  Discrete Spline Electric-Magnetic Tomography (DSPECT) Based on Realistic Neuroanatomy , 2000 .

[51]  M. Gunning,et al.  Quantitative electroencephalographic patterns in normal preterm infants over the first week after birth. , 2006, Early human development.

[52]  M. Scherg,et al.  Comparison between different approaches to the biomagnetic inverse problem — workshop report , 2000 .

[53]  R. Thatcher,et al.  Human cerebral hemispheres develop at different rates and ages. , 1987, Science.

[54]  N. Simakajornboon,et al.  A review of the effects of sleep during the first year of life on cognitive, psychomotor, and temperament development. , 2009, Sleep.

[55]  T. Fernández,et al.  Cerebral blood flow and sources of abnormal EEG activity (VARETA) in neurocysticercosis , 2001, Clinical Neurophysiology.

[56]  T. Fernández,et al.  QEEG norms for the first year of life. , 2011, Early human development.

[57]  D. Louis Collins,et al.  Unbiased average age-appropriate atlases for pediatric studies , 2011, NeuroImage.

[58]  Eizo Nakada,et al.  Neonatal neurology , 1984, Brain and Development.

[59]  Michael I. Miller,et al.  Multi-contrast human neonatal brain atlas: Application to normal neonate development analysis , 2011, NeuroImage.

[60]  S. Hayasaka,et al.  Power and sample size calculation for neuroimaging studies by non-central random field theory , 2007, NeuroImage.

[61]  Terry M. Peters,et al.  3D statistical neuroanatomical models from 305 MRI volumes , 1993, 1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference.

[62]  Frederick R. Forst,et al.  On robust estimation of the location parameter , 1980 .

[63]  Eduardo Aubert,et al.  Changes in EEG Current Sources Induced by Neurofeedback in Learning Disabled Children. An Exploratory Study , 2007, Applied psychophysiology and biofeedback.

[64]  J. C. Jimenez,et al.  High resolution quantitative EEG analysis , 2005, Brain Topography.

[65]  Kazuyoshi Watanabe,et al.  Amplitude spectral analysis of theta/alpha/beta waves in preterm infants. , 2006, Pediatric neurology.

[66]  関原 謙介,et al.  Adaptive Spatial Filters for Electromagnetic Brain Imaging , 2008 .

[67]  Jorge Bosch-Bayard,et al.  Multimodal Quantitative Neuroimaging Databases and Methods: The Cuban Human Brain Mapping Project , 2011, Clinical EEG and neuroscience.

[68]  Eduardo Aubert,et al.  EEG sources in a group of patients with major depressive disorders. , 2009, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[69]  D. A. Driscoll,et al.  Current Distribution in the Brain From Surface Electrodes , 1968, Anesthesia and analgesia.

[70]  Matthew C. Keller,et al.  Increased sensitivity in neuroimaging analyses using robust regression , 2005, NeuroImage.

[71]  D. C. Howell,et al.  Comparing an Individual's Test Score Against Norms Derived from Small Samples , 1998 .