Very Early Brain Damage Leads to Remodeling of the Working Memory System in Adulthood: A Combined fMRI/Tractography Study

The human brain can adapt to overcome injury even years after an initial insult. One hypothesis states that early brain injury survivors, by taking advantage of critical periods of high plasticity during childhood, should recover more successfully than those who suffer injury later in life. This hypothesis has been challenged by recent studies showing worse cognitive outcome in individuals with early brain injury, compared with individuals with later brain injury, with working memory particularly affected. We invited individuals who suffered perinatal brain injury (PBI) for an fMRI/diffusion MRI tractography study of working memory and hypothesized that, 30 years after the initial injury, working memory deficits in the PBI group would remain, despite compensatory activation in areas outside the typical working memory network. Furthermore we hypothesized that the amount of functional reorganization would be related to the level of injury to the dorsal cingulum tract, which connects medial frontal and parietal working memory structures. We found that adults who suffered PBI did not significantly differ from controls in working memory performance. They exhibited less activation in classic frontoparietal working memory areas and a relative overactivation of bilateral perisylvian cortex compared with controls. Structurally, the dorsal cingulum volume and hindrance-modulated orientational anisotropy was significantly reduced in the PBI group. Furthermore there was uniquely in the PBI group a significant negative correlation between the volume of this tract and activation in the bilateral perisylvian cortex and a positive correlation between this activation and task performance. This provides the first evidence of compensatory plasticity of the working memory network following PBI. SIGNIFICANCE STATEMENT Here we used the example of perinatal brain injury (PBI) associated with very preterm birth to study the brain's ability to adapt to injury sustained early in life. In adulthood, individuals with PBI did not show significant deficits in working memory, but exhibited less activation in typical frontoparietal working memory areas. They also showed a relative overactivation of nontask-specific brain areas (perisylvian cortex) compared with controls, and such activation was negatively correlated with the size of white matter pathways involved in working memory (dorsal cingulum). Furthermore, this “extra” activation was associated with better working memory performance and could represent a novel compensatory mechanism following PBI. Such information could inform the development of neuroscience-based cognitive interventions following PBI.

[1]  C. Nosarti,et al.  Alterations in development of hippocampal and cortical memory mechanisms following very preterm birth , 2016, Developmental medicine and child neurology.

[2]  Alexander Leemans,et al.  White matter abnormalities and impaired attention abilities in children born very preterm , 2016, NeuroImage.

[3]  C. Sorg,et al.  Working memory in preterm‐born adults: Load‐dependent compensatory activity of the posterior default mode network , 2015, Human brain mapping.

[4]  Chiara Nosarti,et al.  Road work on memory lane—Functional and structural alterations to the learning and memory circuit in adults born very preterm , 2014, NeuroImage.

[5]  R. Murray,et al.  Motor fMRI and cortical grey matter volume in adults born very preterm , 2014, Developmental Cognitive Neuroscience.

[6]  Ludovica Griffanti,et al.  Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers , 2014, NeuroImage.

[7]  P. Ballabh,et al.  Pathogenesis and prevention of intraventricular hemorrhage. , 2014, Clinics in perinatology.

[8]  Paul M. Thompson,et al.  Genetic effects on the cerebellar role in working memory: Same brain, different genes? , 2014, NeuroImage.

[9]  Derek K. Jones,et al.  Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging , 2013, Human brain mapping.

[10]  Abraham Z. Snyder,et al.  Human Connectome Project informatics: Quality control, database services, and data visualization , 2013, NeuroImage.

[11]  M. Catani,et al.  Can spherical deconvolution provide more information than fiber orientations? Hindrance modulated orientational anisotropy, a true‐tract specific index to characterize white matter diffusion , 2013, Human brain mapping.

[12]  Deanne K. Thompson,et al.  Preventing academic difficulties in preterm children: a randomised controlled trial of an adaptive working memory training intervention – IMPRINT study , 2013, BMC Pediatrics.

[13]  Arno Villringer,et al.  Cerebellar Transcranial Direct Current Stimulation Modulates Verbal Working Memory , 2013, Brain Stimulation.

[14]  M. Symms,et al.  Structural correlates of impaired working memory in hippocampal sclerosis , 2013, Epilepsia.

[15]  Mark H. Johnson,et al.  Training attentional control and working memory - Is younger, better? , 2012 .

[16]  Matthew A. Lambon Ralph,et al.  The variation of function across the human insula mirrors its patterns of structural connectivity: Evidence from in vivo probabilistic tractography , 2012, NeuroImage.

[17]  M. Catani,et al.  Monkey to human comparative anatomy of the frontal lobe association tracts , 2012, Cortex.

[18]  K. Walhovd,et al.  Morphometry and connectivity of the fronto-parietal verbal working memory network in development , 2011, Neuropsychologia.

[19]  E. Wagenmakers,et al.  Erroneous analyses of interactions in neuroscience: a problem of significance , 2011, Nature Neuroscience.

[20]  Olaf B. Paulson,et al.  White Matter Microstructure in Superior Longitudinal Fasciculus Associated with Spatial Working Memory Performance in Children , 2011, Journal of Cognitive Neuroscience.

[21]  Stephen M. Smith,et al.  A Bayesian model of shape and appearance for subcortical brain segmentation , 2011, NeuroImage.

[22]  F. Pulvermüller,et al.  Neuroscience insights improve neurorehabilitation of poststroke aphasia , 2011, Nature Reviews Neurology.

[23]  Arno Klein,et al.  A reproducible evaluation of ANTs similarity metric performance in brain image registration , 2011, NeuroImage.

[24]  Gro C. Christensen Løhaugen,et al.  Young adults born preterm with very low birth weight demonstrate widespread white matter alterations on brain DTI , 2011, NeuroImage.

[25]  M. Catani,et al.  A lateralized brain network for visuospatial attention , 2011, Nature Neuroscience.

[26]  Elvira Brattico,et al.  Cognitive and Motor Loops of the Human Cerebro-cerebellar System , 2010, Journal of Cognitive Neuroscience.

[27]  F. Turkheimer,et al.  Emergence of resting state networks in the preterm human brain , 2010, Proceedings of the National Academy of Sciences.

[28]  Anders M. Dale,et al.  Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature , 2010, NeuroImage.

[29]  K. Hasan,et al.  Superior longitudinal fasciculus and cognitive dysfunction in adolescents born preterm and at term , 2010, Developmental medicine and child neurology.

[30]  Michelle Hampson,et al.  Functional connectivity to a right hemisphere language center in prematurely born adolescents , 2010, NeuroImage.

[31]  Zhishun Wang,et al.  Visual inspection of independent components: Defining a procedure for artifact removal from fMRI data , 2010, Journal of Neuroscience Methods.

[32]  M. Spencer-Smith,et al.  Children's executive functions: Are they poorer after very early brain insult , 2010, Neuropsychologia.

[33]  N. Marlow,et al.  Processing speed and working memory underlie academic attainment in very preterm children , 2010, Archives of Disease in Childhood: Fetal and Neonatal Edition.

[34]  I. Melle,et al.  The validity of d prime as a working memory index: Results from the “Bergen n-back task” , 2010, Journal of clinical and experimental neuropsychology.

[35]  Faraneh Vargha-Khadem,et al.  Is the hippocampus necessary for visual and verbal binding in working memory? , 2010, Neuropsychologia.

[36]  Brian B. Avants,et al.  The optimal template effect in hippocampus studies of diseased populations , 2010, NeuroImage.

[37]  Giuseppe Scotti,et al.  A modified damped Richardson–Lucy algorithm to reduce isotropic background effects in spherical deconvolution , 2010, NeuroImage.

[38]  Bruce Fischl,et al.  Accurate and robust brain image alignment using boundary-based registration , 2009, NeuroImage.

[39]  Arno Klein,et al.  Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration , 2009, NeuroImage.

[40]  Mark W. Woolrich,et al.  Bayesian analysis of neuroimaging data in FSL , 2009, NeuroImage.

[41]  K. Müller,et al.  Functional architecture of verbal and tonal working memory: An FMRI study , 2009, Human brain mapping.

[42]  B. Vohr,et al.  Lasting Effects of Preterm Birth and Neonatal Brain Hemorrhage at 12 Years of Age , 2009, Pediatrics.

[43]  L. Ment,et al.  The diagnosis, management, and postnatal prevention of intraventricular hemorrhage in the preterm neonate. , 2008, Clinics in perinatology.

[44]  Deanne K. Thompson,et al.  Preterm infant hippocampal volumes correlate with later working memory deficits. , 2008, Brain : a journal of neurology.

[45]  M. Catani,et al.  A diffusion tensor imaging tractography atlas for virtual in vivo dissections , 2008, Cortex.

[46]  Mohamed L. Seghier,et al.  Laterality index in functional MRI: methodological issues☆ , 2008, Magnetic resonance imaging.

[47]  Chiara Nosarti,et al.  Cerebellar growth and behavioural & neuropsychological outcome in preterm adolescents. , 2008, Brain : a journal of neurology.

[48]  J. Kleim,et al.  Principles of experience-dependent neural plasticity: implications for rehabilitation after brain damage. , 2008, Journal of speech, language, and hearing research : JSLHR.

[49]  D. Prayer,et al.  Disrupted cerebellar development in preterm infants is associated with impaired neurodevelopmental outcome , 2008, European Journal of Pediatrics.

[50]  M. Just,et al.  From the Selectedworks of Marcel Adam Just the Organization of Thinking: What Functional Brain Imaging Reveals about the Neuroarchitecture of Complex Cognition , 2022 .

[51]  A. Guarini,et al.  Are early grammatical and phonological working memory abilities affected by preterm birth? , 2007, Journal of communication disorders.

[52]  Bruce Fischl,et al.  Geometrically Accurate Topology-Correction of Cortical Surfaces Using Nonseparating Loops , 2007, IEEE Transactions on Medical Imaging.

[53]  J. P. Miller,et al.  Effect of constraint-induced movement therapy on upper extremity function 3 to 9 months after stroke: the EXCITE randomized clinical trial. , 2006, JAMA.

[54]  Anders M. Dale,et al.  An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.

[55]  Timothy Edward John Behrens,et al.  The evolution of prefrontal inputs to the cortico-pontine system: diffusion imaging evidence from Macaque monkeys and humans. , 2006, Cerebral cortex.

[56]  Julie A Fiez,et al.  Cerebellar damage produces selective deficits in verbal working memory. , 2006, Brain : a journal of neurology.

[57]  Deanne K. Thompson,et al.  Object working memory deficits predicted by early brain injury and development in the preterm infant. , 2005, Brain : a journal of neurology.

[58]  J. Volpe,et al.  Cerebellar Hemorrhage in the Preterm Infant: Ultrasonographic Findings and Risk Factors , 2005, Pediatrics.

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

[60]  Alan Connelly,et al.  Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution , 2004, NeuroImage.

[61]  H. Forssberg,et al.  Impulse control, working memory and other executive functions in preterm children when starting school , 2004, Acta paediatrica.

[62]  T. Hensch Critical period regulation. , 2004, Annual review of neuroscience.

[63]  Christian F. Beckmann,et al.  Probabilistic ICA for FMRI , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

[64]  Mark W. Woolrich,et al.  Multilevel linear modelling for FMRI group analysis using Bayesian inference , 2004, NeuroImage.

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

[66]  I. Torres,et al.  Neonatal cerebral hypoxia–ischemia causes lateralized memory impairments in the adult rat , 2003, Brain Research.

[67]  Suzanne E. Welcome,et al.  Mapping cortical change across the human life span , 2003, Nature Neuroscience.

[68]  Stephen M Smith,et al.  Fast robust automated brain extraction , 2002, Human brain mapping.

[69]  Michael Brady,et al.  Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.

[70]  Stephen M. Smith,et al.  Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis , 2002, NeuroImage.

[71]  D. Weinberger,et al.  Neonatal Damage of the Ventral Hippocampus Impairs Working Memory in the Rat , 2002, Neuropsychopharmacology.

[72]  A. Dale,et al.  Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.

[73]  Stephen M. Smith,et al.  Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data , 2001, NeuroImage.

[74]  Keith J. Worsley,et al.  Statistical analysis of activation images , 2001 .

[75]  Anders M. Dale,et al.  A hybrid approach to the Skull Stripping problem in MRI , 2001, NeuroImage.

[76]  C. Nelson,et al.  Neurobehavioral evidence for working‐memory deficits in school‐aged children with histories of prematurity , 1999, Developmental medicine and child neurology.

[77]  Anders M. Dale,et al.  Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.

[78]  J. Desmond,et al.  Lobular Patterns of Cerebellar Activation in Verbal Working-Memory and Finger-Tapping Tasks as Revealed by Functional MRI , 1997, The Journal of Neuroscience.

[79]  C. Sudlow,et al.  Comparable studies of the incidence of stroke and its pathological types: results from an international collaboration. International Stroke Incidence Collaboration. , 1997, Stroke.

[80]  Edward D. Levin,et al.  Cognitive Effects of Neonatal Hippocampal Lesions in a Rat Model of Schizophrenia , 1996, Neuropsychopharmacology.

[81]  R. Nass,et al.  Specific Cognitive Abilities in 2-Year-Old Children with Subependymal and Mild Intraventricular Hemorrhage , 1996, Brain and Cognition.

[82]  E. Reynolds,et al.  Ultrasound appearance of the brain in very preterm infants and neurodevelopmental outcome at 18 months of age. , 1983, Archives of disease in childhood.

[83]  M I Levene,et al.  Measurement of the growth of the lateral ventricles in preterm infants with real-time ultrasound. , 1981, Archives of disease in childhood.

[84]  Jan Sijbers,et al.  ExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data , 2009 .

[85]  Chiara Nosarti,et al.  Grey and white matter distribution in very preterm adolescents mediates neurodevelopmental outcome. , 2008, Brain : a journal of neurology.

[86]  Nikos Makris,et al.  Automatically parcellating the human cerebral cortex. , 2004, Cerebral cortex.

[87]  Stephen M. Smith,et al.  Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.

[88]  Anders M. Dale,et al.  Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex , 2001, IEEE Transactions on Medical Imaging.

[89]  Tom Minka,et al.  Automatic Choice of Dimensionality for PCA , 2000, NIPS.