Literature DB >> 29074032

Predicting Age Using Neuroimaging: Innovative Brain Ageing Biomarkers.

James H Cole1, Katja Franke2.   

Abstract

The brain changes as we age and these changes are associated with functional deterioration and neurodegenerative disease. It is vital that we better understand individual differences in the brain ageing process; hence, techniques for making individualised predictions of brain ageing have been developed. We present evidence supporting the use of neuroimaging-based 'brain age' as a biomarker of an individual's brain health. Increasingly, research is showing how brain disease or poor physical health negatively impacts brain age. Importantly, recent evidence shows that having an 'older'-appearing brain relates to advanced physiological and cognitive ageing and the risk of mortality. We discuss controversies surrounding brain age and highlight emerging trends such as the use of multimodality neuroimaging and the employment of 'deep learning' methods.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ageing biomarker; brain ageing; brain diseases; machine learning; neuroimaging

Mesh:

Year:  2017        PMID: 29074032     DOI: 10.1016/j.tins.2017.10.001

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  139 in total

1.  Transfer learning improves resting-state functional connectivity pattern analysis using convolutional neural networks.

Authors:  Pál Vakli; Regina J Deák-Meszlényi; Petra Hermann; Zoltán Vidnyánszky
Journal:  Gigascience       Date:  2018-12-01       Impact factor: 6.524

2.  Investigating systematic bias in brain age estimation with application to post-traumatic stress disorders.

Authors:  Hualou Liang; Fengqing Zhang; Xin Niu
Journal:  Hum Brain Mapp       Date:  2019-03-28       Impact factor: 5.038

Review 3.  Accelerating research on biological aging and mental health: Current challenges and future directions.

Authors:  Laura K M Han; Josine E Verhoeven; Audrey R Tyrka; Brenda W J H Penninx; Owen M Wolkowitz; Kristoffer N T Månsson; Daniel Lindqvist; Marco P Boks; Dóra Révész; Synthia H Mellon; Martin Picard
Journal:  Psychoneuroendocrinology       Date:  2019-04-05       Impact factor: 4.905

4.  Establishment of Best Practices for Evidence for Prediction: A Review.

Authors:  Russell A Poldrack; Grace Huckins; Gael Varoquaux
Journal:  JAMA Psychiatry       Date:  2020-05-01       Impact factor: 21.596

Review 5.  Effects of maternal stress and nutrient restriction during gestation on offspring neuroanatomy in humans.

Authors:  Katja Franke; Bea R H Van den Bergh; Susanne R de Rooij; Nasim Kroegel; Peter W Nathanielsz; Florian Rakers; Tessa J Roseboom; Otto W Witte; Matthias Schwab
Journal:  Neurosci Biobehav Rev       Date:  2020-01-28       Impact factor: 8.989

6.  Evaluating resting-state BOLD variability in relation to biomarkers of preclinical Alzheimer's disease.

Authors:  Peter R Millar; Beau M Ances; Brian A Gordon; Tammie L S Benzinger; Anne M Fagan; John C Morris; David A Balota
Journal:  Neurobiol Aging       Date:  2020-08-18       Impact factor: 4.673

7.  Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages.

Authors:  Dan Hu; Han Zhang; Zhengwang Wu; Fan Wang; Li Wang; J Keith Smith; Weili Lin; Gang Li; Dinggang Shen
Journal:  IEEE Trans Med Imaging       Date:  2020-11-30       Impact factor: 10.048

8.  Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods.

Authors:  Harini Eavani; Mohamad Habes; Theodore D Satterthwaite; Yang An; Meng-Kang Hsieh; Nicolas Honnorat; Guray Erus; Jimit Doshi; Luigi Ferrucci; Lori L Beason-Held; Susan M Resnick; Christos Davatzikos
Journal:  Neurobiol Aging       Date:  2018-06-15       Impact factor: 4.673

9.  Virtual Connectomic Datasets in Alzheimer's Disease and Aging Using Whole-Brain Network Dynamics Modelling.

Authors:  Lucas Arbabyazd; Kelly Shen; Zheng Wang; Martin Hofmann-Apitius; Petra Ritter; Anthony R McIntosh; Demian Battaglia; Viktor Jirsa
Journal:  eNeuro       Date:  2021-07-06

10.  Association of Childhood Lead Exposure With MRI Measurements of Structural Brain Integrity in Midlife.

Authors:  Aaron Reuben; Maxwell L Elliott; Wickliffe C Abraham; Jonathan Broadbent; Renate M Houts; David Ireland; Annchen R Knodt; Richie Poulton; Sandhya Ramrakha; Ahmad R Hariri; Avshalom Caspi; Terrie E Moffitt
Journal:  JAMA       Date:  2020-11-17       Impact factor: 56.272

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