Literature DB >> 27783066

The search for imaging biomarkers in psychiatric disorders.

Anissa Abi-Dargham1,2, Guillermo Horga1.   

Abstract

The field of medicine is moving toward the use of biomarkers for the optimization of individualized care. This is a particular challenge for the field of psychiatry, in which diagnosis is based on a descriptive collection of behaviors without the availability of any objective test to stratify patients. Neuroimaging techniques such as molecular imaging with positron-emission tomography (PET) or structural and functional magnetic resonance imaging (MRI) provide an opportunity to bring psychiatry from an era of subjective descriptive classification into objective and tangible brain-based measures. Here we provide steps toward the development of robust, reliable and valid biomarkers. The success of such development is crucial because it will enable the field of psychiatry to move forward into the era of modern medicine.

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Year:  2016        PMID: 27783066     DOI: 10.1038/nm.4190

Source DB:  PubMed          Journal:  Nat Med        ISSN: 1078-8956            Impact factor:   53.440


  41 in total

1.  Structural and behavioral correlates of abnormal encoding of money value in the sensorimotor striatum in cocaine addiction.

Authors:  Anna B Konova; Scott J Moeller; Dardo Tomasi; Muhammad A Parvaz; Nelly Alia-Klein; Nora D Volkow; Rita Z Goldstein
Journal:  Eur J Neurosci       Date:  2012-07-09       Impact factor: 3.386

Review 2.  Consensus nomenclature for in vivo imaging of reversibly binding radioligands.

Authors:  Robert B Innis; Vincent J Cunningham; Jacques Delforge; Masahiro Fujita; Albert Gjedde; Roger N Gunn; James Holden; Sylvain Houle; Sung-Cheng Huang; Masanori Ichise; Hidehiro Iida; Hiroshi Ito; Yuichi Kimura; Robert A Koeppe; Gitte M Knudsen; Juhani Knuuti; Adriaan A Lammertsma; Marc Laruelle; Jean Logan; Ralph Paul Maguire; Mark A Mintun; Evan D Morris; Ramin Parsey; Julie C Price; Mark Slifstein; Vesna Sossi; Tetsuya Suhara; John R Votaw; Dean F Wong; Richard E Carson
Journal:  J Cereb Blood Flow Metab       Date:  2007-05-09       Impact factor: 6.200

3.  Imaging neuroinflammation in gray and white matter in schizophrenia: an in-vivo PET study with [18F]-FEPPA.

Authors:  Miran Kenk; Thiviya Selvanathan; Naren Rao; Ivonne Suridjan; Pablo Rusjan; Gary Remington; Jeffrey H Meyer; Alan A Wilson; Sylvain Houle; Romina Mizrahi
Journal:  Schizophr Bull       Date:  2014-11-09       Impact factor: 9.306

4.  Reciprocal limbic-cortical function and negative mood: converging PET findings in depression and normal sadness.

Authors:  H S Mayberg; M Liotti; S K Brannan; S McGinnis; R K Mahurin; P A Jerabek; J A Silva; J L Tekell; C C Martin; J L Lancaster; P T Fox
Journal:  Am J Psychiatry       Date:  1999-05       Impact factor: 18.112

5.  ADHD-200 Global Competition: diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements.

Authors:  Matthew R G Brown; Gagan S Sidhu; Russell Greiner; Nasimeh Asgarian; Meysam Bastani; Peter H Silverstone; Andrew J Greenshaw; Serdar M Dursun
Journal:  Front Syst Neurosci       Date:  2012-09-28

6.  Neuroinflammation in schizophrenia-related psychosis: a PET study.

Authors:  Janine Doorduin; Erik F J de Vries; Antoon T M Willemsen; Jan Cees de Groot; Rudi A Dierckx; Hans C Klein
Journal:  J Nucl Med       Date:  2009-10-16       Impact factor: 10.057

7.  Limbic-frontal circuitry in major depression: a path modeling metanalysis.

Authors:  D A Seminowicz; H S Mayberg; A R McIntosh; K Goldapple; S Kennedy; Z Segal; S Rafi-Tari
Journal:  Neuroimage       Date:  2004-05       Impact factor: 6.556

8.  Individual and societal effects of mental disorders on earnings in the United States: results from the national comorbidity survey replication.

Authors:  Ronald C Kessler; Steven Heeringa; Matthew D Lakoma; Maria Petukhova; Agnes E Rupp; Michael Schoenbaum; Philip S Wang; Alan M Zaslavsky
Journal:  Am J Psychiatry       Date:  2008-05-07       Impact factor: 18.112

9.  Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group.

Authors:  L Schmaal; D P Hibar; P G Sämann; G B Hall; B T Baune; N Jahanshad; J W Cheung; T G M van Erp; D Bos; M A Ikram; M W Vernooij; W J Niessen; H Tiemeier; A Hofman; K Wittfeld; H J Grabe; D Janowitz; R Bülow; M Selonke; H Völzke; D Grotegerd; U Dannlowski; V Arolt; N Opel; W Heindel; H Kugel; D Hoehn; M Czisch; B Couvy-Duchesne; M E Rentería; L T Strike; M J Wright; N T Mills; G I de Zubicaray; K L McMahon; S E Medland; N G Martin; N A Gillespie; R Goya-Maldonado; O Gruber; B Krämer; S N Hatton; J Lagopoulos; I B Hickie; T Frodl; A Carballedo; E M Frey; L S van Velzen; B W J H Penninx; M-J van Tol; N J van der Wee; C G Davey; B J Harrison; B Mwangi; B Cao; J C Soares; I M Veer; H Walter; D Schoepf; B Zurowski; C Konrad; E Schramm; C Normann; K Schnell; M D Sacchet; I H Gotlib; G M MacQueen; B R Godlewska; T Nickson; A M McIntosh; M Papmeyer; H C Whalley; J Hall; J E Sussmann; M Li; M Walter; L Aftanas; I Brack; N A Bokhan; P M Thompson; D J Veltman
Journal:  Mol Psychiatry       Date:  2016-05-03       Impact factor: 15.992

10.  The minimal preprocessing pipelines for the Human Connectome Project.

Authors:  Matthew F Glasser; Stamatios N Sotiropoulos; J Anthony Wilson; Timothy S Coalson; Bruce Fischl; Jesper L Andersson; Junqian Xu; Saad Jbabdi; Matthew Webster; Jonathan R Polimeni; David C Van Essen; Mark Jenkinson
Journal:  Neuroimage       Date:  2013-05-11       Impact factor: 6.556

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  55 in total

Review 1.  Neuroimaging markers of antipsychotic treatment response in schizophrenia: An overview of magnetic resonance imaging studies.

Authors:  Goda Tarcijonas; Deepak K Sarpal
Journal:  Neurobiol Dis       Date:  2018-06-25       Impact factor: 5.996

Review 2.  All for One and One for All: Mental Disorders in One Dimension.

Authors:  Avshalom Caspi; Terrie E Moffitt
Journal:  Am J Psychiatry       Date:  2018-04-06       Impact factor: 18.112

3.  An Electrophysiological Biomarker That May Predict Treatment Response to ECT.

Authors:  Katherine W Scangos; Richard D Weiner; Edward C Coffey; Andrew D Krystal
Journal:  J ECT       Date:  2019-06       Impact factor: 3.635

4.  PET and SPECT in psychiatry: the past and the future.

Authors:  Marco Pagani; Sara Carletto; Luca Ostacoli
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-09       Impact factor: 9.236

5.  Independent Multiple Factor Association Analysis for Multiblock Data in Imaging Genetics.

Authors:  Natalia Vilor-Tejedor; Mohammad Arfan Ikram; Gennady V Roshchupkin; Alejandro Cáceres; Silvia Alemany; Meike W Vernooij; Wiro J Niessen; Cornelia M van Duijn; Jordi Sunyer; Hieab H Adams; Juan R González
Journal:  Neuroinformatics       Date:  2019-10

Review 6.  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

7.  Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression: A Multimodal, Multisite Machine Learning Analysis.

Authors:  Nikolaos Koutsouleris; Lana Kambeitz-Ilankovic; Stephan Ruhrmann; Marlene Rosen; Anne Ruef; Dominic B Dwyer; Marco Paolini; Katharine Chisholm; Joseph Kambeitz; Theresa Haidl; André Schmidt; John Gillam; Frauke Schultze-Lutter; Peter Falkai; Maximilian Reiser; Anita Riecher-Rössler; Rachel Upthegrove; Jarmo Hietala; Raimo K R Salokangas; Christos Pantelis; Eva Meisenzahl; Stephen J Wood; Dirk Beque; Paolo Brambilla; Stefan Borgwardt
Journal:  JAMA Psychiatry       Date:  2018-11-01       Impact factor: 21.596

8.  Discrete patterns of cortical thickness in youth with bipolar disorder differentially predict treatment response to quetiapine but not lithium.

Authors:  Wenjing Zhang; Yuan Xiao; Huaiqiang Sun; L Rodrigo Patino; Maxwell J Tallman; Wade A Weber; Caleb M Adler; Christina Klein; Jeffrey R Strawn; Fabiano G Nery; Qiyong Gong; John A Sweeney; Su Lui; Melissa P DelBello
Journal:  Neuropsychopharmacology       Date:  2018-06-18       Impact factor: 7.853

9.  Spatio-temporal dynamics of resting-state brain networks improve single-subject prediction of schizophrenia diagnosis.

Authors:  Akhil Kottaram; Leigh Johnston; Eleni Ganella; Christos Pantelis; Ramamohanarao Kotagiri; Andrew Zalesky
Journal:  Hum Brain Mapp       Date:  2018-05-10       Impact factor: 5.038

10.  Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning.

Authors:  Ganesh B Chand; Dominic B Dwyer; Guray Erus; Aristeidis Sotiras; Erdem Varol; Dhivya Srinivasan; Jimit Doshi; Raymond Pomponio; Alessandro Pigoni; Paola Dazzan; Rene S Kahn; Hugo G Schnack; Marcus V Zanetti; Eva Meisenzahl; Geraldo F Busatto; Benedicto Crespo-Facorro; Christos Pantelis; Stephen J Wood; Chuanjun Zhuo; Russell T Shinohara; Haochang Shou; Yong Fan; Ruben C Gur; Raquel E Gur; Theodore D Satterthwaite; Nikolaos Koutsouleris; Daniel H Wolf; Christos Davatzikos
Journal:  Brain       Date:  2020-03-01       Impact factor: 13.501

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