Literature DB >> 17028118

Corpus callosum atrophy is associated with mental slowing and executive deficits in subjects with age-related white matter hyperintensities: the LADIS Study.

Hanna Jokinen1, Charlotte Ryberg, Hely Kalska, Raija Ylikoski, Egill Rostrup, Mikkel B Stegmann, Gunhild Waldemar, Sofia Madureira, José M Ferro, Elizabeth C W van Straaten, Philip Scheltens, Frederik Barkhof, Franz Fazekas, Reinhold Schmidt, Giovanna Carlucci, Leonardo Pantoni, Domenico Inzitari, Timo Erkinjuntti.   

Abstract

BACKGROUND: Previous research has indicated that corpus callosum atrophy is associated with global cognitive decline in neurodegenerative diseases, but few studies have investigated specific cognitive functions.
OBJECTIVE: To investigate the role of regional corpus callosum atrophy in mental speed, attention and executive functions in subjects with age-related white matter hyperintensities (WMH).
METHODS: In the Leukoaraiosis and Disability Study, 567 subjects with age-related WMH were examined with a detailed neuropsychological assessment and quantitative magnetic resonance imaging. The relationships of the total corpus callosum area and its subregions with cognitive performance were analysed using multiple linear regression, controlling for volume of WMH and other confounding factors.
RESULTS: Atrophy of the total corpus callosum area was associated with poor performance in tests assessing speed of mental processing--namely, trail making A and Stroop test parts I and II. Anterior, but not posterior, corpus callosum atrophy was associated with deficits of attention and executive functions as reflected by the symbol digit modalities and digit cancellation tests, as well as by the subtraction scores in the trail making and Stroop tests. Furthermore, semantic verbal fluency was related to the total corpus callosum area and the isthmus subregion.
CONCLUSIONS: Corpus callosum atrophy seems to contribute to cognitive decline independently of age, education, coexisting WMH and stroke. Anterior corpus callosum atrophy is related to the frontal-lobe-mediated executive functions and attention, whereas overall corpus callosum atrophy is associated with the slowing of processing speed.

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Year:  2006        PMID: 17028118      PMCID: PMC2117833          DOI: 10.1136/jnnp.2006.096792

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  28 in total

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3.  Clinical significance of corpus callosum atrophy in a mixed elderly population.

Authors:  C Ryberg; E Rostrup; M B Stegmann; F Barkhof; P Scheltens; E C W van Straaten; F Fazekas; R Schmidt; J M Ferro; H Baezner; T Erkinjuntti; H Jokinen; L-O Wahlund; J O'brien; A M Basile; L Pantoni; D Inzitari; G Waldemar
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6.  Comparison of the pattern of atrophy of the corpus callosum in frontotemporal dementia, progressive supranuclear palsy, and Alzheimer's disease.

Authors:  H Yamauchi; H Fukuyama; Y Nagahama; Y Katsumi; T Hayashi; C Oyanagi; J Konishi; H Shio
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7.  Different mechanisms of corpus callosum atrophy in Alzheimer's disease and vascular dementia.

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8.  Corpus callosum atrophy, white matter lesions, and frontal executive dysfunction in normal aging and Alzheimer's disease. A community-based study: the Tajiri Project.

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9.  Hyperintensities and fronto-subcortical atrophy on MRI are substrates of mild cognitive deficits after stroke.

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10.  In vivo imaging of region and cell type specific neocortical neurodegeneration in Alzheimer's disease. Perspectives of MRI derived corpus callosum measurement for mapping disease progression and effects of therapy. Evidence from studies with MRI, EEG and PET.

Authors:  H Hampel; S J Teipel; G E Alexander; O Pogarell; S I Rapoport; H-J Möller
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  42 in total

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6.  Frontal Callosal Fiber Integrity Selectively Predicts Coordinated Psychomotor Performance in Chronic Alcoholism.

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9.  Callosal hyperintensities and gait speed gain from two types of mobility interventions in older adults.

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10.  Regional white matter atrophy--based classification of multiple sclerosis in cross-sectional and longitudinal data.

Authors:  M P Sampat; A M Berger; B C Healy; P Hildenbrand; J Vass; D S Meier; T Chitnis; H L Weiner; R Bakshi; C R G Guttmann
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