Publication:

A Novel Approach of Groupwise fMRI-Guided Tractography Allowing to Characterize the Clinical Evolution of Alzheimer's Disease

Loading...
Thumbnail Image

Date

2014

Journal Title

Journal ISSN

Volume Title

Publisher

Public Library of Science
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Preti, Maria Giulia, Nikos Makris, George Papadimitriou, Maria Marcella Laganà, Ludovica Griffanti, Mario Clerici, Raffaello Nemni, Carl-Fredrik Westin, Giuseppe Baselli, and Francesca Baglio. 2014. “A Novel Approach of Groupwise fMRI-Guided Tractography Allowing to Characterize the Clinical Evolution of Alzheimer's Disease.” PLoS ONE 9 (3): e92026. doi:10.1371/journal.pone.0092026. http://dx.doi.org/10.1371/journal.pone.0092026.

Abstract

Guiding diffusion tract-based anatomy by functional magnetic resonance imaging (fMRI), we aim to investigate the relationship between structural connectivity and functional activity in the human brain. To this purpose, we introduced a novel groupwise fMRI-guided tractographic approach, that was applied on a population ranging between prodromic and moderate stages of Alzheimer's disease (AD). The study comprised of 15 subjects affected by amnestic mild cognitive impairment (aMCI), 14 diagnosed with AD and 14 elderly healthy adults who were used as controls. By creating representative (ensemble) functionally guided tracts within each group of participants, our methodology highlighted the white matter fiber connections involved in verbal fluency functions for a specific population, and hypothesized on brain compensation mechanisms that potentially counteract or reduce cognitive impairment symptoms in prodromic AD. Our hope is that this fMRI-guided tractographic approach could have potential impact in various clinical studies, while investigating white/gray matter connectivity, in both health and disease.

Description

Research Data

Keywords

Biology and Life Sciences, Anatomy, Nervous System, Neuroanatomy, Computational Biology, Computational Neuroscience, Developmental Biology, Organism Development, Aging, Neuroscience, Neuroimaging, Functional Magnetic Resonance Imaging, Cognitive Neuroscience, Engineering and Technology, Signal Processing, Image Processing, Medicine and Health Sciences, Diagnostic Medicine, Diagnostic Radiology, Magnetic Resonance Imaging, Mental Health and Psychiatry, Dementia, Alzheimer Disease, Neurology, Neurobiology of Disease and Regeneration, Neurodegenerative Diseases

Terms of Use

This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Related Stories