Entorhinal cortex volume measured with 3T MRI is positively correlated with the Wechsler Memory Scale-Revised logical/verbal memory score for healthy subjects

IntroductionPrevious studies revealed a correlation between local brain volume and cognitive function. The aim of the present study was to investigate the correlation between local gray matter volume and the Wechsler Memory Scale-Revised (WMS-R) logical/verbal memory (WMS-R-verbal) score in healthy adults using a 3 Tesla magnetic resonance scanner and voxel-based morphometry (VBM).MethodsT1-weighted magnetic resonance images were obtained in 1,169 healthy adults. The T1-weighted images in native space were bias-corrected, spatially normalized, and segmented into gray matter, white matter, and cerebrospinal fluid images with Statistical Parametric Mapping 5. To investigate regionally the specific effects of the WMS-R-verbal score on the gray matter images, simple regression analysis was performed by VBM treating age, total intracranial volume, and gender as confounding covariates. A P value of less than 0.05 corrected with false discovery rate in voxel difference was considered to be statistically significant.ResultsOur study showed a significant positive correlation between the WMS-R-verbal score and the bilateral entorhinal cortex volume. In the right entorhinal, T value is 4.75, and the size of the clusters is 155 voxels. In the left entorhinal, T value is 4.08, and the size of the clusters is 23 voxels. A significant negative correlation was not found.ConclusionTo our knowledge, this is the first VBM study showing that entorhinal cortex volume is positively correlated with the WMS-R-verbal score for healthy subjects. Therefore, in our structural neuroimaging study, we add evidence to the hypothesis that the entorhinal cortex is involved in verbal memory processing.

[1]  G. Alexander,et al.  Interactive effects of age and hypertension on volumes of brain structures. , 1997, Stroke.

[2]  K. Davis,et al.  The Alzheimer's disease assessment scale: an instrument for assessing treatment efficacy. , 1983, Psychopharmacology bulletin.

[3]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[4]  Tom den Heijer,et al.  Hippocampal Head Size Associated with Verbal Memory Performance in Nondemented Elderly , 2002, NeuroImage.

[5]  Hiroshi Fukuda,et al.  Voxel-based morphometry of human brain with age and cerebrovascular risk factors , 2004, Neurobiology of Aging.

[6]  Mark Mühlau,et al.  Accelerated aging of the putamen in men but not in women , 2009, Neurobiology of Aging.

[7]  Borys Shuter,et al.  Reproducibility of brain tissue volumes in longitudinal studies: Effects of changes in signal-to-noise ratio and scanner software , 2008, NeuroImage.

[8]  J. Haxby,et al.  Brain atrophy in hypertension. A volumetric magnetic resonance imaging study. , 1992, Hypertension.

[9]  John S. Duncan,et al.  Material-specific lateralization of memory encoding in the medial temporal lobe: Blocked versus event-related design , 2005, NeuroImage.

[10]  M Erb,et al.  Differential activation in parahippocampal and prefrontal cortex during word and face encoding tasks , 2001, Neuroreport.

[11]  D. Head,et al.  Selective aging of the human cerebral cortex observed in vivo: differential vulnerability of the prefrontal gray matter. , 1997, Cerebral cortex.

[12]  John S Duncan,et al.  Pre-operative verbal memory fMRI predicts post-operative memory decline after left temporal lobe resection. , 2004, Brain : a journal of neurology.

[13]  S. Southwick,et al.  MRI-based measurement of hippocampal volume in patients with combat-related posttraumatic stress disorder. , 1995, The American journal of psychiatry.

[14]  Jens C. Pruessner,et al.  Hippocampal volume is as variable in young as in older adults: Implications for the notion of hippocampal atrophy in humans , 2007, NeuroImage.

[15]  Karl J. Friston,et al.  A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.

[16]  In Kyoon Lyoo,et al.  Effects of type 1 diabetes on gray matter density as measured by voxel-based morphometry. , 2006, Diabetes.

[17]  Alexandra J. Golby,et al.  Functional MRI of memory in the hippocampus: Laterality indices may be more meaningful if calculated from whole voxel distributions , 2006, NeuroImage.

[18]  W. Snow,et al.  WAIS-R test-retest reliability in a normal elderly sample. , 1989, Journal of clinical and experimental neuropsychology.

[19]  G. Small,et al.  Entorhinal cortex structure and functional MRI response during an associative verbal memory task , 2009, Human brain mapping.

[20]  Y. Hirayasu,et al.  Smaller amygdala is associated with anxiety in patients with panic disorder , 2009, Psychiatry and clinical neurosciences.

[21]  Osamu Abe,et al.  Aging in the CNS: Comparison of gray/white matter volume and diffusion tensor data , 2008, Neurobiology of Aging.

[22]  L. Cermak,et al.  Reduced cerebral grey matter observed in alcoholics using magnetic resonance imaging. , 1991, Alcoholism, clinical and experimental research.

[23]  Anders M. Dale,et al.  Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer , 2006, NeuroImage.

[24]  C. Coffey,et al.  Quantitative cerebral anatomy of the aging human brain , 1992, Neurology.

[25]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.

[26]  Faith M. Gunning-Dixon,et al.  Aging, sexual dimorphism, and hemispheric asymmetry of the cerebral cortex: replicability of regional differences in volume , 2004, Neurobiology of Aging.

[27]  S. Resnick,et al.  One-year age changes in MRI brain volumes in older adults. , 2000, Cerebral cortex.

[28]  N. Roberts,et al.  Voxel‐based morphometry of temporal lobe epilepsy: An introduction and review of the literature , 2008, Epilepsia.

[29]  Norbert Schuff,et al.  Longitudinal stability of MRI for mapping brain change using tensor-based morphometry , 2006, NeuroImage.

[30]  K O Lim,et al.  Brain gray and white matter volume loss accelerates with aging in chronic alcoholics: a quantitative MRI study. , 1992, Alcoholism, clinical and experimental research.

[31]  Nick C Fox,et al.  The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods , 2008, Journal of magnetic resonance imaging : JMRI.

[32]  M. Erb,et al.  Neural correlates of verbal episodic memory in patients with MCI and Alzheimer's disease––a VBM study , 2008, International journal of geriatric psychiatry.

[33]  Anders M. Dale,et al.  Sequence-independent segmentation of magnetic resonance images , 2004, NeuroImage.

[34]  Michael Weiner,et al.  Automated 3d Mapping of Baseline and 12-month Associations between Three Verbal Memory Measures and Hippocampal Atrophy in 490 Adni Subjects and the Alzheimer's Disease Neuroimaging Initiative , 2022 .

[35]  A. Alavi,et al.  MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. , 1987, AJR. American journal of roentgenology.

[36]  Anders M. Dale,et al.  Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data , 2006, NeuroImage.

[37]  R. Gur,et al.  Gender differences in age effect on brain atrophy measured by magnetic resonance imaging. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[38]  Frithjof Kruggel,et al.  MRI-based volumetry of head compartments: Normative values of healthy adults , 2006, NeuroImage.

[39]  F. Schmitt,et al.  Age and gender effects on human brain anatomy: A voxel-based morphometric study in healthy elderly , 2007, Neurobiology of Aging.

[40]  J. Baron,et al.  In Vivo Mapping of Gray Matter Loss with Voxel-Based Morphometry in Mild Alzheimer's Disease , 2001, NeuroImage.

[41]  Karl J. Friston,et al.  Unified segmentation , 2005, NeuroImage.

[42]  K. Davis,et al.  A new rating scale for Alzheimer's disease. , 1984, The American journal of psychiatry.

[43]  Anders M. Dale,et al.  MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: Reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths , 2009, NeuroImage.

[44]  Karl J. Friston,et al.  Cerebral Asymmetry and the Effects of Sex and Handedness on Brain Structure: A Voxel-Based Morphometric Analysis of 465 Normal Adult Human Brains , 2001, NeuroImage.

[45]  K. Hiramatsu,et al.  [Brain volumetric MRI study in healthy elderly persons using statistical parametric mapping]. , 2004, Seishin shinkeigaku zasshi = Psychiatria et neurologia Japonica.

[46]  Richard S. J. Frackowiak,et al.  Navigation-related structural change in the hippocampi of taxi drivers. , 2000, Proceedings of the National Academy of Sciences of the United States of America.