Brain Structure Biomarkers in the Psychosis Biotypes: Findings From the Bipolar-Schizophrenia Network for Intermediate Phenotypes

Biological Psychiatry - Tập 82 - Trang 26-39 - 2017
Elena I. Ivleva1, Brett A. Clementz2, Anthony M. Dutcher1, Sara J.M. Arnold1, Haekyung Jeon-Slaughter1, Sina Aslan3,4, Bradley Witte1, Gaurav Poudyal1, Hanzhang Lu1,5, Shashwath A. Meda6,7, Godfrey D. Pearlson6,7, John A. Sweeney1, Matcheri S. Keshavan8, Carol A. Tamminga1
1University of Texas, Southwestern Medical Center, Dallas
2University of Georgia, Athens, Georgia
3Advance MRI, LLC, Frisco
4University of Texas at Dallas, Richardson, Texas
5Johns Hopkins University, Baltimore, Maryland
6Institute of Living/Hartford Hospital, Hartford
7Yale School of Medicine, New Haven, Connecticut
8Beth Israel Deaconess Hospital, Harvard Medical School, Boston, Massachusetts

Tài liệu tham khảo

Clementz, 2015, Identification of distinct psychosis biotypes using brain-based biomarkers, Am J Psychiatry, 173, 373, 10.1176/appi.ajp.2015.14091200 Thaker, 2008, Neurophysiological endophenotypes across bipolar and schizophrenia psychosis, Schizophr Bull, 34, 760, 10.1093/schbul/sbn049 Insel, 2015, Medicine. Brain disorders? Precisely, Science, 348, 499, 10.1126/science.aab2358 Cuthbert, 2015, Research Domain Criteria: Toward future psychiatric nosologies, Dialogues Clin Neurosci, 17, 89, 10.31887/DCNS.2015.17.1/bcuthbert Insel, 2014, The NIMH Research Domain Criteria (RDoC) Project: Precision medicine for psychiatry, Am J Psychiatry, 171, 395, 10.1176/appi.ajp.2014.14020138 Honea, 2008, Is gray matter volume an intermediate phenotype for schizophrenia? A voxel-based morphometry study of patients with schizophrenia and their healthy siblings, Biol Psychiatry, 63, 465, 10.1016/j.biopsych.2007.05.027 Ivleva, 2013, Gray matter volume as an intermediate phenotype for psychosis: Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP), Am J Psychiatry, 170, 1285, 10.1176/appi.ajp.2013.13010126 Hulshoff Pol, 2012, Overlapping and segregating structural brain abnormalities in twins with schizophrenia or bipolar disorder, Arch Gen Psychiatry, 69, 349, 10.1001/archgenpsychiatry.2011.1615 Yu, 2010, Are bipolar disorder and schizophrenia neuroanatomically distinct? An anatomical likelihood meta-analysis, Front Hum Neurosci, 4, 189, 10.3389/fnhum.2010.00189 Cannon, 1998, Regional gray matter, white matter, and cerebrospinal fluid distributions in schizophrenic patients, their siblings, and controls, Arch Gen Psychiatry, 55, 1084, 10.1001/archpsyc.55.12.1084 Gong, 2016, A selective review of cerebral abnormalities in patients with first-episode schizophrenia before and after treatment, Am J Psychiatry, 173, 232, 10.1176/appi.ajp.2015.15050641 Honea, 2005, Regional deficits in brain volume in schizophrenia: A meta-analysis of voxel-based morphometry studies, Am J Psychiatry, 162, 2233, 10.1176/appi.ajp.162.12.2233 Ivleva, 2012, Brain gray matter phenotypes across the psychosis dimension, Psychiatry Res, 204, 13, 10.1016/j.pscychresns.2012.05.001 Zhang, 2015, Brain structural abnormalities in a group of never-medicated patients with long-term schizophrenia, Am J Psychiatry, 172, 995, 10.1176/appi.ajp.2015.14091108 McDonald, 2005, Regional volume deviations of brain structure in schizophrenia and psychotic bipolar disorder: Computational morphometry study, Br J Psychiatry, 186, 369, 10.1192/bjp.186.5.369 Hallahan, 2011, Structural magnetic resonance imaging in bipolar disorder: An international collaborative mega-analysis of individual adult patient data, Biol Psychiatry, 69, 326, 10.1016/j.biopsych.2010.08.029 Selvaraj, 2012, Grey matter differences in bipolar disorder: A meta-analysis of voxel-based morphometry studies, Bipolar Disord, 14, 135, 10.1111/j.1399-5618.2012.01000.x Kempton, 2008, Meta-analysis, database, and meta-regression of 98 structural imaging studies in bipolar disorder, Arch Gen Psychiatry, 65, 1017, 10.1001/archpsyc.65.9.1017 Strasser, 2005, Hippocampal and ventricular volumes in psychotic and nonpsychotic bipolar patients compared with schizophrenia patients and community control subjects: A pilot study, Biol Psychiatry, 57, 633, 10.1016/j.biopsych.2004.12.009 Rasser, 2011, Gray matter deficits, mismatch negativity, and outcomes in schizophrenia, Schizophr Bull, 37, 131, 10.1093/schbul/sbp060 Padmanabhan, 2015, Correlations between brain structure and symptom dimensions of psychosis in schizophrenia, schizoaffective, and psychotic bipolar I disorders, Schizophr Bull, 41, 154, 10.1093/schbul/sbu075 Brandt, 2015, Assessing brain structural associations with working-memory related brain patterns in schizophrenia and healthy controls using linked independent component analysis, Neuroimage Clin, 9, 253, 10.1016/j.nicl.2015.08.010 Kubota, 2015, Association of IQ changes and progressive brain changes in patients with schizophrenia, JAMA Psychiatry, 72, 803, 10.1001/jamapsychiatry.2015.0712 Soh, 2015, Joint coupling of awake EEG frequency activity and MRI gray matter volumes in the psychosis dimension: A BSNIP study, Front Psychiatry, 6, 162, 10.3389/fpsyt.2015.00162 Ellison-Wright, 2008, The anatomy of first-episode and chronic schizophrenia: An anatomical likelihood estimation meta-analysis, Am J Psychiatry, 165, 1015, 10.1176/appi.ajp.2008.07101562 Cannon, 2015, Progressive reduction in cortical thickness as psychosis develops: A multisite longitudinal neuroimaging study of youth at elevated clinical risk, Biol Psychiatry, 77, 147, 10.1016/j.biopsych.2014.05.023 Takahashi, 2009, Progressive gray matter reduction of the superior temporal gyrus during transition to psychosis, Arch Gen Psychiatry, 66, 366, 10.1001/archgenpsychiatry.2009.12 Chan, 2011, Brain anatomical abnormalities in high-risk individuals, first-episode, and chronic schizophrenia: An activation likelihood estimation meta-analysis of illness progression, 37, 177 Andreasen, 2011, Progressive brain change in schizophrenia: A prospective longitudinal study of first-episode schizophrenia, Biol Psychiatry, 70, 672, 10.1016/j.biopsych.2011.05.017 Lieberman, 2005, Antipsychotic drug effects on brain morphology in first-episode psychosis, Arch Gen Psychiatry, 62, 361, 10.1001/archpsyc.62.4.361 Bearden, 2007, Greater cortical gray matter density in lithium-treated patients with bipolar disorder, Biol Psychiatry, 62, 7, 10.1016/j.biopsych.2006.10.027 Moore, 2009, A longitudinal study of the effects of lithium treatment on prefrontal and subgenual prefrontal gray matter volume in treatment-responsive bipolar disorder patients, J Clin Psychiatry, 70, 699, 10.4088/JCP.07m03745 Lyoo, 2010, Lithium-induced gray matter volume increase as a neural correlate of treatment response in bipolar disorder: A longitudinal brain imaging study, Neuropsychopharmacology, 35, 1743, 10.1038/npp.2010.41 Ho, 2011, Long-term antipsychotic treatment and brain volumes: A longitudinal study of first-episode schizophrenia, Arch Gen Psychiatry, 68, 128, 10.1001/archgenpsychiatry.2010.199 Fusar-Poli, 2013, Progressive brain changes in schizophrenia related to antipsychotic treatment? A meta-analysis of longitudinal MRI studies, Neurosci Biobehav Rev, 37, 1680, 10.1016/j.neubiorev.2013.06.001 Vita, 2015, The effect of antipsychotic treatment on cortical gray matter changes in schizophrenia: Does the class matter? A meta-analysis and meta-regression of longitudinal magnetic resonance imaging studies, Biol Psychiatry, 78, 403, 10.1016/j.biopsych.2015.02.008 Eack, 2010, Neuroprotective effects of cognitive enhancement therapy against gray matter loss in early schizophrenia: Results from a 2-year randomized controlled trial, Arch Gen Psychiatry, 67, 674, 10.1001/archgenpsychiatry.2010.63 Tamminga, 2013, Clinical phenotypes of psychosis in the Bipolar and Schizophrenia Network on Intermediate Phenotypes (B-SNIP), Am J Psychiatry, 170, 1263, 10.1176/appi.ajp.2013.12101339 First, 1996 Pfohl, 1997 Ashburner, 2000, Voxel-based morphometry—the methods, Neuroimage, 11, 805, 10.1006/nimg.2000.0582 Ashburner, 2007, A fast diffeomorphic image registration algorithm, Neuroimage, 38, 95, 10.1016/j.neuroimage.2007.07.007 Kurth, 2010, VBM8-toolbox manual Benson, 2007, Global white matter analysis of diffusion tensor images is predictive of injury severity in traumatic brain injury, J Neurotrauma, 24, 446, 10.1089/neu.2006.0153 Marquez de la Plata, 2011, Diffusion tensor imaging biomarkers for traumatic axonal injury: Analysis of three analytic methods, J Int Neuropsychol Soc, 17, 24, 10.1017/S1355617710001189 Li, 2012, Regional specificity of sex effects on subcortical volumes across the lifespan in healthy aging, Hum Brain Mapp, 35, 238, 10.1002/hbm.22168 Renteria, 2012, Cerebral asymmetry: A quantitative, multifactorial, and plastic brain phenotype, Twin Res Hum Genet, 15, 401, 10.1017/thg.2012.13 Calhoun, 2001, A method for making group inferences from functional MRI data using independent component analysis, Hum Brain Mapping, 14, 140, 10.1002/hbm.1048 Rosenthal, 2000 Andreasen, 2010, Antipsychotic dose equivalents and dose-years: A standardized method for comparing exposure to different drugs, Biol Psychiatry, 67, 255, 10.1016/j.biopsych.2009.08.040 Selemon, 1999, The reduced neuropil hypothesis: A circuit based model of schizophrenia, Biol Psychiatry, 45, 17, 10.1016/S0006-3223(98)00281-9 Selemon, 2003, Cellular pathology in the dorsolateral prefrontal cortex distinguishes schizophrenia from bipolar disorder, Curr Mol Med, 3, 427, 10.2174/1566524033479663 Konopaske, 2014, Prefrontal cortical dendritic spine pathology in schizophrenia and bipolar disorder, JAMA Psychiatry, 71, 1323, 10.1001/jamapsychiatry.2014.1582 Giakoumatos, 2015, Effects of lithium on cortical thickness and hippocampal subfield volumes in psychotic bipolar disorder, J Psychiatr Res, 61, 180, 10.1016/j.jpsychires.2014.12.008 Hooker, 2011, Theory of mind skills are related to gray matter volume in the ventromedial prefrontal cortex in schizophrenia, Biol Psychiatry, 70, 1169, 10.1016/j.biopsych.2011.07.027 Karlsgodt, 2011, Genetic influence on the working memory circuitry: Behavior, structure, function and extensions to illness, Behav Brain Res, 225, 610, 10.1016/j.bbr.2011.08.016 Wojtalik, 2012, Prefrontal gray matter morphology mediates the association between serum anticholinergicity and cognitive functioning in early course schizophrenia, Psychiatry Res, 204, 61, 10.1016/j.pscychresns.2012.04.014 Guo, 2014, Hippocampal and orbital inferior frontal gray matter volume abnormalities and cognitive deficit in treatment-naive, first-episode patients with schizophrenia, Schizophr Res, 152, 339, 10.1016/j.schres.2013.12.015 Dien, 2003, Parametric analysis of event-related potentials in semantic comprehension: evidence for parallel brain mechanisms, Brain Res Cogn Brain Res, 15, 137, 10.1016/S0926-6410(02)00147-7 Williams, 2011, Distinct neural generators of sensory gating in schizophrenia, Psychophysiology, 48, 470, 10.1111/j.1469-8986.2010.01119.x Gonzalez-Burgos, 2012, NMDA receptor hypofunction, parvalbumin-positive neurons, and cortical gamma oscillations in schizophrenia, Schizophr Bull, 38, 950, 10.1093/schbul/sbs010 Homayoun, 2007, NMDA receptor hypofunction produces opposite effects on prefrontal cortex interneurons and pyramidal neurons, J Neurosci, 27, 11496, 10.1523/JNEUROSCI.2213-07.2007 Farzan, 2010, Evidence for gamma inhibition deficits in the dorsolateral prefrontal cortex of patients with schizophrenia, Brain, 133, 1505, 10.1093/brain/awq046 Hamm, 2012, Augmented gamma band auditory steady-state responses: Support for NMDA hypofunction in schizophrenia, Schizophr Res, 138, 1, 10.1016/j.schres.2012.04.003 Spencer, 2004, Neural synchrony indexes disordered perception and cognition in schizophrenia, Proc Natl Acad Sci U S A, 101, 17288, 10.1073/pnas.0406074101 Flynn, 2008, Increased absolute magnitude of gamma synchrony in first-episode psychosis, Schizophr Res, 105, 262, 10.1016/j.schres.2008.05.029 Mathew, 2014, Medial temporal lobe structures and hippocampal subfields in psychotic disorders: Findings from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study, JAMA Psychiatry, 71, 769, 10.1001/jamapsychiatry.2014.453 Tamminga, 2013, Psychosis is emerging as a learning and memory disorder, Neuropsychopharmacology, 38, 247, 10.1038/npp.2012.187 Ford, 2014, Studying hallucinations within the NIMH RDoC framework, Schizophr Bull, 40, S295, 10.1093/schbul/sbu011 Waltman, 2006, Interpreter of maladies: redescription mining applied to biomedical data analysis, Pharmacogenomics, 7, 503, 10.2217/14622416.7.3.503 Curtis, 2012, The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups, Nature, 486, 346, 10.1038/nature10983 Yang, 2014, Gene co-expression network analysis reveals common system-level properties of prognostic genes across cancer types, Nat Commun, 5, 3231, 10.1038/ncomms4231