Literature DB >> 20828625

Anatomical connectivity mapping: a new tool to assess brain disconnection in Alzheimer's disease.

Marco Bozzali1, Geoffrey J M Parker, Laura Serra, Karl Embleton, Tommaso Gili, Roberta Perri, Carlo Caltagirone, Mara Cercignani.   

Abstract

Previous studies suggest that the clinical manifestations of Alzheimer's disease (AD) are not only associated with regional gray matter damage but also with abnormal functional integration of different brain regions by disconnection mechanisms. A measure of anatomical connectivity (anatomical connectivity mapping or ACM) can be obtained by initiating diffusion tractography streamlines from all parenchymal voxels and then counting the number of streamlines passing through each voxel of the brain. In order to assess the potential of this parameter for the study of disconnection in AD, we computed it in a group of patients with AD (N=9), in 16 patients with amnestic mild cognitive impairment (a-MCI, which is considered the prodromal stage of AD) and in 12 healthy volunteers. All subjects had an MRI scan at 3T, and diffusion MRI data were analyzed to obtain fractional anisotropy (FA) and ACM. Two types of ACM maps, absolute count (ac-ACM) and normalized by brain size count (nc-ACM), were obtained. No between group differences in FA surviving correction for multiple comparison were found, while areas of both decreased (in the supramarginal gyrus) and increased (in the putamen) ACM were found in patients with AD. Similar results were obtained with ac-ACM and nc-ACM. ACM of the supramarginal gyrus was strongly associated with measures of short-term memory in healthy subjects. This study shows that ACM provides information that is complementary to that offered by FA and appears to be more sensitive than FA to brain changes in patients with AD. The increased ACM in the putamen was unexpected. Given the nature of ACM, an increase of this parameter may reflect a change in any of the areas connected to it. One intriguing possibility is that this increase of ACM in AD patients might reflect processes of brain plasticity driven by cholinesterase inhibitors.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20828625     DOI: 10.1016/j.neuroimage.2010.08.069

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  29 in total

1.  Functional connectivity variations in mild cognitive impairment: associations with cognitive function.

Authors:  S Duke Han; Konstantinos Arfanakis; Debra A Fleischman; Sue E Leurgans; Elizabeth R Tuminello; Emily C Edmonds; David A Bennett
Journal:  J Int Neuropsychol Soc       Date:  2011-10-18       Impact factor: 2.892

2.  Uncovering a Role for the Dorsal Hippocampal Commissure in Recognition Memory.

Authors:  M Postans; G D Parker; H Lundell; M Ptito; K Hamandi; W P Gray; J P Aggleton; T B Dyrby; D K Jones; M Winter
Journal:  Cereb Cortex       Date:  2020-03-14       Impact factor: 5.357

Review 3.  Track-weighted imaging methods: extracting information from a streamlines tractogram.

Authors:  Fernando Calamante
Journal:  MAGMA       Date:  2017-02-08       Impact factor: 2.310

4.  Track density imaging in progressive supranuclear palsy: A pilot study.

Authors:  Salvatore Nigro; Maria Giovanna Bianco; Gennarina Arabia; Maurizio Morelli; Rita Nisticò; Fabiana Novellino; Maria Salsone; Antonio Augimeri; Aldo Quattrone
Journal:  Hum Brain Mapp       Date:  2018-11-26       Impact factor: 5.038

5.  Registration of FA and T1-weighted MRI data of healthy human brain based on template matching and normalized cross-correlation.

Authors:  Milos Malinsky; Roman Peter; Erlend Hodneland; Astri J Lundervold; Arvid Lundervold; Jiri Jan
Journal:  J Digit Imaging       Date:  2013-08       Impact factor: 4.056

6.  Super-resolution track-density imaging of thalamic substructures: comparison with high-resolution anatomical magnetic resonance imaging at 7.0T.

Authors:  Fernando Calamante; Se-Hong Oh; Jacques-Donald Tournier; Sung-Yeon Park; Young-Don Son; Jun-Young Chung; Je-Geun Chi; Graeme D Jackson; Chan-Woong Park; Young-Bo Kim; Alan Connelly; Zang-Hee Cho
Journal:  Hum Brain Mapp       Date:  2012-11-14       Impact factor: 5.038

7.  Altered cerebellar connectivity in autism and cerebellar-mediated rescue of autism-related behaviors in mice.

Authors:  Catherine J Stoodley; Anila M D'Mello; Jacob Ellegood; Vikram Jakkamsetti; Pei Liu; Mary Beth Nebel; Jennifer M Gibson; Elyza Kelly; Fantao Meng; Christopher A Cano; Juan M Pascual; Stewart H Mostofsky; Jason P Lerch; Peter T Tsai
Journal:  Nat Neurosci       Date:  2017-10-30       Impact factor: 24.884

8.  Brain tissue modifications induced by cholinergic therapy in Alzheimer's disease.

Authors:  Marco Bozzali; Geoff J M Parker; Barbara Spanò; Laura Serra; Giovanni Giulietti; Roberta Perri; Giuseppe Magnani; Camillo Marra; Maria G Vita; Carlo Caltagirone; Mara Cercignani
Journal:  Hum Brain Mapp       Date:  2012-06-19       Impact factor: 5.038

9.  Identifying group discriminative and age regressive sub-networks from DTI-based connectivity via a unified framework of non-negative matrix factorization and graph embedding.

Authors:  Yasser Ghanbari; Alex R Smith; Robert T Schultz; Ragini Verma
Journal:  Med Image Anal       Date:  2014-06-27       Impact factor: 8.545

10.  Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns.

Authors:  Chong-Yaw Wee; Pew-Thian Yap; Dinggang Shen
Journal:  Hum Brain Mapp       Date:  2012-08-28       Impact factor: 5.038

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