Literature DB >> 28628780

BrainAGE score indicates accelerated brain aging in schizophrenia, but not bipolar disorder.

Igor Nenadić1, Maren Dietzek2, Kerstin Langbein2, Heinrich Sauer2, Christian Gaser3.   

Abstract

BrainAGE (brain age gap estimation) is a novel morphometric parameter providing a univariate score derived from multivariate voxel-wise analyses. It uses a machine learning approach and can be used to analyse deviation from physiological developmental or aging-related trajectories. Using structural MRI data and BrainAGE quantification of acceleration or deceleration of in individual aging, we analysed data from 45 schizophrenia patients, 22 bipolar I disorder patients (mostly with previous psychotic symptoms / episodes), and 70 healthy controls. We found significantly higher BrainAGE scores in schizophrenia, but not bipolar disorder patients. Our findings indicate significantly accelerated brain structural aging in schizophrenia. This suggests, that despite the conceptualisation of schizophrenia as a neurodevelopmental disorder, there might be an additional progressive pathogenic component.
Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Aging; Bipolar disorder; BrainAGE score; Machine learning; Magnetic Resonance Imaging (MRI); Psychosis; Schizophrenia

Mesh:

Year:  2017        PMID: 28628780     DOI: 10.1016/j.pscychresns.2017.05.006

Source DB:  PubMed          Journal:  Psychiatry Res Neuroimaging        ISSN: 0925-4927            Impact factor:   2.376


  30 in total

Review 1.  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

Review 2.  Artificial Intelligence for Mental Health and Mental Illnesses: an Overview.

Authors:  Sarah Graham; Colin Depp; Ellen E Lee; Camille Nebeker; Xin Tu; Ho-Cheol Kim; Dilip V Jeste
Journal:  Curr Psychiatry Rep       Date:  2019-11-07       Impact factor: 5.285

3.  Brain Age in Early Stages of Bipolar Disorders or Schizophrenia.

Authors:  Tomas Hajek; Katja Franke; Marian Kolenic; Jana Capkova; Martin Matejka; Lukas Propper; Rudolf Uher; Pavla Stopkova; Tomas Novak; Tomas Paus; Miloslav Kopecek; Filip Spaniel; Martin Alda
Journal:  Schizophr Bull       Date:  2019-01-01       Impact factor: 9.306

4.  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

Review 5.  [Brain imaging in schizophrenia : A review of current trends and developments].

Authors:  Igor Nenadić
Journal:  Nervenarzt       Date:  2020-01       Impact factor: 1.214

6.  Brain structure, cognition, and brain age in schizophrenia, bipolar disorder, and healthy controls.

Authors:  Saba Shahab; Benoit H Mulsant; Melissa L Levesque; Navona Calarco; Arash Nazeri; Anne L Wheeler; George Foussias; Tarek K Rajji; Aristotle N Voineskos
Journal:  Neuropsychopharmacology       Date:  2018-12-20       Impact factor: 7.853

7.  Telomere attrition and inflammatory load in severe psychiatric disorders and in response to psychotropic medications.

Authors:  Alessio Squassina; Mirko Manchia; Claudia Pisanu; Raffaella Ardau; Carlo Arzedi; Alberto Bocchetta; Paola Caria; Cristina Cocco; Donatella Congiu; Eleonora Cossu; Tinuccia Dettori; Daniela Virginia Frau; Mario Garzilli; Elias Manca; Anna Meloni; Maria Antonietta Montis; Andrea Mura; Mariella Nieddu; Barbara Noli; Pasquale Paribello; Federica Pinna; Renato Robledo; Giovanni Severino; Valeria Sogos; Maria Del Zompo; Gian Luca Ferri; Caterina Chillotti; Roberta Vanni; Bernardo Carpiniello
Journal:  Neuropsychopharmacology       Date:  2020-09-12       Impact factor: 7.853

8.  Mapping the Heterogeneous Phenotype of Schizophrenia and Bipolar Disorder Using Normative Models.

Authors:  Thomas Wolfers; Nhat Trung Doan; Tobias Kaufmann; Dag Alnæs; Torgeir Moberget; Ingrid Agartz; Jan K Buitelaar; Torill Ueland; Ingrid Melle; Barbara Franke; Ole A Andreassen; Christian F Beckmann; Lars T Westlye; Andre F Marquand
Journal:  JAMA Psychiatry       Date:  2018-11-01       Impact factor: 21.596

9.  Brain-predicted age difference score is related to specific cognitive functions: a multi-site replication analysis.

Authors:  Rory Boyle; Lee Jollans; Laura M Rueda-Delgado; Rossella Rizzo; Görsev G Yener; Jason P McMorrow; Silvin P Knight; Daniel Carey; Ian H Robertson; Derya D Emek-Savaş; Yaakov Stern; Rose Anne Kenny; Robert Whelan
Journal:  Brain Imaging Behav       Date:  2021-02       Impact factor: 3.978

10.  Brain age prediction in schizophrenia: Does the choice of machine learning algorithm matter?

Authors:  Won Hee Lee; Mathilde Antoniades; Hugo G Schnack; Rene S Kahn; Sophia Frangou
Journal:  Psychiatry Res Neuroimaging       Date:  2021-03-05       Impact factor: 2.376

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.