BACKGROUND: Cognitive-MRI correlations have often been studied in disorders in which there are multiple cognitive deficits and widespread cortical atrophy, such as Alzheimer's dementia. In such circumstances, the interpretation of any single cognitive-structural correlation is equivocal. Only by measuring differing cognitive functions and a wide range of brain structures in patients with a varying distribution of lesions or atrophy can specific brain-cognitive relations be determined in neurological disorder. METHOD: In the present study, a clear set of anatomical criteria and detailed MRI segmentation procedures were applied to measure whole brain, and left and right frontal, temporal lobe, anterolateral and medial temporal volumes, as well as thalamic cross sectional areas in 40 patients with organic amnesia (from various diseases) and 10 healthy controls. RESULTS: Within the total patient group, anterograde memory measures correlated significantly with medial temporal, hippocampal, and thalamic measurements. A spatial memory measure correlated significantly with hippocampal volume, and temporal context memory with frontal volume. After a factor analysis of the cognitive measures, the association between anterograde memory and hippocampal volume was corroborated. Forgetting rates and subjective memory evaluations did not show any significant MR correlations and, of executive tests employed, only card sorting categories correlated significantly with frontal volume. CONCLUSION: Loss of volume in key brain structures (for example, hippocampus, thalamus) is detectable on quantitative MRI, and this loss of volume correlates significantly with impaired performance on measures of anterograde memory function. Correlations with hippocampal volume did not indicate a specific role in either recall or verbal memory, as opposed to recognition or visual memory.
BACKGROUND: Cognitive-MRI correlations have often been studied in disorders in which there are multiple cognitive deficits and widespread cortical atrophy, such as Alzheimer's dementia. In such circumstances, the interpretation of any single cognitive-structural correlation is equivocal. Only by measuring differing cognitive functions and a wide range of brain structures in patients with a varying distribution of lesions or atrophy can specific brain-cognitive relations be determined in neurological disorder. METHOD: In the present study, a clear set of anatomical criteria and detailed MRI segmentation procedures were applied to measure whole brain, and left and right frontal, temporal lobe, anterolateral and medial temporal volumes, as well as thalamic cross sectional areas in 40 patients with organic amnesia (from various diseases) and 10 healthy controls. RESULTS: Within the total patient group, anterograde memory measures correlated significantly with medial temporal, hippocampal, and thalamic measurements. A spatial memory measure correlated significantly with hippocampal volume, and temporal context memory with frontal volume. After a factor analysis of the cognitive measures, the association between anterograde memory and hippocampal volume was corroborated. Forgetting rates and subjective memory evaluations did not show any significant MR correlations and, of executive tests employed, only card sorting categories correlated significantly with frontal volume. CONCLUSION: Loss of volume in key brain structures (for example, hippocampus, thalamus) is detectable on quantitative MRI, and this loss of volume correlates significantly with impaired performance on measures of anterograde memory function. Correlations with hippocampal volume did not indicate a specific role in either recall or verbal memory, as opposed to recognition or visual memory.
Authors: A Colchester; D Kingsley; D Lasserson; B Kendall; F Bello; C Rush; T G Stevens; G Goodman; G Heilpern; N Stanhope; M D Kopelman Journal: J Neurol Neurosurg Psychiatry Date: 2001-07 Impact factor: 10.154
Authors: B Deweer; S Lehéricy; B Pillon; M Baulac; J Chiras; C Marsault; Y Agid; B Dubois Journal: J Neurol Neurosurg Psychiatry Date: 1995-05 Impact factor: 10.154
Authors: M P Laakso; K Partanen; P Riekkinen; M Lehtovirta; E L Helkala; M Hallikainen; T Hanninen; P Vainio; H Soininen Journal: Neurology Date: 1996-03 Impact factor: 9.910
Authors: Joel H Kramer; Norbert Schuff; Bruce R Reed; Dan Mungas; An-Tao Du; Howard J Rosen; William J Jagust; Bruce L Miller; Michael W Weiner; Helena C Chui Journal: J Int Neuropsychol Soc Date: 2004-07 Impact factor: 2.892
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Authors: Gagan S Wig; Scott T Grafton; Kathryn E Demos; George L Wolford; Steven E Petersen; William M Kelley Journal: Proc Natl Acad Sci U S A Date: 2008-11-10 Impact factor: 11.205
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Authors: Peter Bright; Joseph Buckman; Alex Fradera; Haruo Yoshimasu; Alan C F Colchester; Michael D Kopelman Journal: Learn Mem Date: 2006 Sep-Oct Impact factor: 2.460