Literature DB >> 33723751

Uses of Human MR and PET Imaging in Research of Neurodegenerative Brain Diseases.

Christopher G Schwarz1.   

Abstract

In the past decades, many neuroimaging studies have aimed to improve the scientific understanding of human neurodegenerative diseases using MRI and PET. This article is designed to provide an overview of the major classes of brain imaging and how/why they are used in this line of research. It is intended as a primer for individuals who are relatively unfamiliar with the methods of neuroimaging research to gain a better understanding of the vocabulary and overall methodologies. It is not intended to describe or review any research findings for any disease or biology, but rather to broadly describe the imaging methodologies that are used in conducting this neurodegeneration research. We will also review challenges and strategies for analyzing neuroimaging data across multiple sites and studies, i.e., harmonization and standardization of imaging data for multi-site and meta-analyses.
© 2021. The American Society for Experimental NeuroTherapeutics, Inc.

Entities:  

Keywords:  Alzheimer's disease; Image analyses; Imaging; Neurodegeneration; Research; Review

Mesh:

Year:  2021        PMID: 33723751      PMCID: PMC8423895          DOI: 10.1007/s13311-021-01030-9

Source DB:  PubMed          Journal:  Neurotherapeutics        ISSN: 1878-7479            Impact factor:   7.620


  96 in total

Review 1.  Brain templates and atlases.

Authors:  Alan C Evans; Andrew L Janke; D Louis Collins; Sylvain Baillet
Journal:  Neuroimage       Date:  2012-01-10       Impact factor: 6.556

2.  Toward a standardized structural-functional group connectome in MNI space.

Authors:  Andreas Horn; Felix Blankenburg
Journal:  Neuroimage       Date:  2015-08-29       Impact factor: 6.556

3.  Unified segmentation.

Authors:  John Ashburner; Karl J Friston
Journal:  Neuroimage       Date:  2005-04-01       Impact factor: 6.556

4.  A fast diffeomorphic image registration algorithm.

Authors:  John Ashburner
Journal:  Neuroimage       Date:  2007-07-18       Impact factor: 6.556

Review 5.  A probabilistic atlas of the human brain: theory and rationale for its development. The International Consortium for Brain Mapping (ICBM).

Authors:  J C Mazziotta; A W Toga; A Evans; P Fox; J Lancaster
Journal:  Neuroimage       Date:  1995-06       Impact factor: 6.556

6.  Unbiased average age-appropriate atlases for pediatric studies.

Authors:  Vladimir Fonov; Alan C Evans; Kelly Botteron; C Robert Almli; Robert C McKinstry; D Louis Collins
Journal:  Neuroimage       Date:  2010-07-23       Impact factor: 6.556

7.  The construction of a Chinese MRI brain atlas: a morphometric comparison study between Chinese and Caucasian cohorts.

Authors:  Yuchun Tang; Cornelius Hojatkashani; Ivo D Dinov; Bo Sun; Lingzhong Fan; Xiangtao Lin; Hengtao Qi; Xue Hua; Shuwei Liu; Arthur W Toga
Journal:  Neuroimage       Date:  2010-02-10       Impact factor: 6.556

8.  Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain.

Authors:  B B Avants; C L Epstein; M Grossman; J C Gee
Journal:  Med Image Anal       Date:  2007-06-23       Impact factor: 8.545

9.  Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.

Authors:  Arno Klein; Jesper Andersson; Babak A Ardekani; John Ashburner; Brian Avants; Ming-Chang Chiang; Gary E Christensen; D Louis Collins; James Gee; Pierre Hellier; Joo Hyun Song; Mark Jenkinson; Claude Lepage; Daniel Rueckert; Paul Thompson; Tom Vercauteren; Roger P Woods; J John Mann; Ramin V Parsey
Journal:  Neuroimage       Date:  2009-01-13       Impact factor: 6.556

10.  MR-less surface-based amyloid assessment based on 11C PiB PET.

Authors:  Luping Zhou; Olivier Salvado; Vincent Dore; Pierrick Bourgeat; Parnesh Raniga; S Lance Macaulay; David Ames; Colin L Masters; Kathryn A Ellis; Victor L Villemagne; Christopher C Rowe; Jurgen Fripp
Journal:  PLoS One       Date:  2014-01-10       Impact factor: 3.240

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  2 in total

Review 1.  A Novel Explainability Approach for Technology-Driven Translational Research on Brain Aging.

Authors:  Adam Turnbull; Robert M Kaplan; Ehsan Adeli; Feng V Lin
Journal:  J Alzheimers Dis       Date:  2022       Impact factor: 4.160

Review 2.  Neuroimaging of Mouse Models of Alzheimer's Disease.

Authors:  Amandine Jullienne; Michelle V Trinh; Andre Obenaus
Journal:  Biomedicines       Date:  2022-01-28
  2 in total

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