Should we expect "neural signatures" for DSM diagnoses?

Contemporary researchers in psychiatry have sought to develop a nosology based on empirical observation, in line with the principles spelled out by Drs Eli Robins and Samuel B. Guze in 1970. For more than 2 decades, psychiatrists using neuroimaging have aspired to provide one form of "laboratory study" that Robins and Guze said would have to be in place for a psychiatric diagnosis to be valid: researchers have sought "neural signatures" of psychiatric disorders. Our objective was to examine the feasibility of this endeavor. To this end, we examine whether current psychiatric nosology as defined in the Diagnostic and Statistical Manual of Mental Disorders (DSM) lends itself to the identification of neural signatures for psychiatric diagnoses. Because neuroimaging largely is used only to detect average activation or structural differences between groups of individuals with the same diagnosis and groups of individuals with no diagnosis, it is unlikely that it will be possible to use neuroimaging technologies to determine which psychiatric diagnosis a given individual warrants. In addition, the heterogeneity of psychiatric disorder categories as defined in the DSM reveals that these diagnoses do not reflect neurologically discrete phenomena. Finally, neural correlates of psychopathology generally are not unique to specific diagnoses. Although it is unrealistic to hope that neuroimaging will be used to make psychiatric diagnoses as they are currently conceived, neuroimaging is already being used to make headway in 2 other arenas of psychiatric investigation that we briefly review.

[1]  S. Guze,et al.  Establishment of diagnostic validity in psychiatric illness: its application to schizophrenia. , 1970, The American journal of psychiatry.

[2]  J. Mazziotta,et al.  The differential diagnosis of depression. Relevance of positron emission tomography studies of cerebral glucose metabolism to the bipolar-unipolar dichotomy. , 1987, JAMA.

[3]  R. V. Van Heertum,et al.  Single photon emission computed tomography (SPECT) with [123I]IMP in the differential diagnosis of psychiatric disorders. , 1989, The Journal of neuropsychiatry and clinical neurosciences.

[4]  R. Hales,et al.  J Neuropsychiatry Clin Neurosci , 1992 .

[5]  Susan D. Voyer,et al.  Magnitude of sex differences in spatial abilities: a meta-analysis and consideration of critical variables. , 1995, Psychological bulletin.

[6]  K. Lesch,et al.  Association of Anxiety-Related Traits with a Polymorphism in the Serotonin Transporter Gene Regulatory Region , 1996, Science.

[7]  Nancy C. Andreasen,et al.  Linking Mind and Brain in the Study of Mental Illnesses: A Project for a Scientific Psychopathology , 1997, Science.

[8]  M. Egan,et al.  Serotonin Transporter Genetic Variation and the Response of the Human Amygdala , 2002, Science.

[9]  J. Decety,et al.  Abnormalities of brain function during a nonverbal theory of mind task in schizophrenia , 2003, Neuropsychologia.

[10]  A. Caspi,et al.  Influence of Life Stress on Depression: Moderation by a Polymorphism in the 5-HTT Gene , 2003, Science.

[11]  S. Rauch,et al.  Neurobiology of emotion perception II: implications for major psychiatric disorders , 2003, Biological Psychiatry.

[12]  M. Burmeister,et al.  Meta‐analysis of the association between a serotonin transporter promoter polymorphism (5‐HTTLPR) and anxiety‐related personality traits , 2004, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[13]  小坂 浩隆,et al.  Differential amygdala response during facial recognition in patients with schizophrenia : An fMRI study , 2004 .

[14]  Brien Riley,et al.  The interaction of stressful life events and a serotonin transporter polymorphism in the prediction of episodes of major depression: a replication. , 2005, Archives of general psychiatry.

[15]  A. Meyer-Lindenberg,et al.  5-HTTLPR polymorphism impacts human cingulate-amygdala interactions: a genetic susceptibility mechanism for depression , 2005, Nature Neuroscience.

[16]  Olga V. Demler,et al.  Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. , 2005, Archives of general psychiatry.

[17]  T. Crow,et al.  Regional deficits in brain volume in schizophrenia: a meta-analysis of voxel-based morphometry studies. , 2005, The American journal of psychiatry.

[18]  A. Lozano,et al.  Deep Brain Stimulation for Treatment-Resistant Depression , 2005, Neuron.

[19]  Avshalom Caspi,et al.  Gene–environment interactions in psychiatry: joining forces with neuroscience , 2006, Nature Reviews Neuroscience.

[20]  S. Hyman Can neuroscience be integrated into the DSM-V? , 2007, Nature Reviews Neuroscience.

[21]  A. Etkin,et al.  Functional neuroimaging of anxiety: a meta-analysis of emotional processing in PTSD, social anxiety disorder, and specific phobia. , 2007, The American journal of psychiatry.

[22]  M. Walker,et al.  The human emotional brain without sleep — a prefrontal amygdala disconnect , 2007, Current Biology.

[23]  Thomas E. Nichols,et al.  Reduced gamma-aminobutyric acid(A)-benzodiazepine binding sites in insular cortex of individuals with panic disorder. , 2007, Archives of general psychiatry.

[24]  N. Andreasen DSM and the death of phenomenology in america: an example of unintended consequences. , 2006, Schizophrenia bulletin.

[25]  M. Phillips,et al.  Neuroimaging in bipolar disorder: A critical review of current findings , 2007, Current psychiatry reports.

[26]  A. Lozano,et al.  Subcallosal Cingulate Gyrus Deep Brain Stimulation for Treatment-Resistant Depression , 2008, Biological Psychiatry.

[27]  S. Chan,et al.  Strong limbic and weak frontal activation to aggressive stimuli in spouse abusers , 2008, Molecular Psychiatry.

[28]  Marcus R. Munafò,et al.  Serotonin Transporter (5-HTTLPR) Genotype and Amygdala Activation: A Meta-Analysis , 2008, Biological Psychiatry.

[29]  R. Poulton,et al.  Gene-environment interactions in schizophrenia: review of epidemiological findings and future directions. , 2008, Schizophrenia bulletin.

[30]  J. P. Hamilton,et al.  Neuroimaging and Depression , 2008 .

[31]  Marianne Kristiansson,et al.  Aggression, psychopathy and brain imaging - Review and future recommendations. , 2009, International journal of law and psychiatry.

[32]  R. Kahn Faculty Opinions recommendation of A primate-specific, brain isoform of KCNH2 affects cortical physiology, cognition, neuronal repolarization and risk of schizophrenia. , 2009 .

[33]  N. Freimer,et al.  5‐HTTLPR genotype and anxiety‐related personality traits: A meta‐analysis and new data , 2009, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[34]  S. Cichon,et al.  Neural Mechanisms of a Genome-Wide Supported Psychosis Variant , 2009, Science.

[35]  H. Mayberg Targeted electrode-based modulation of neural circuits for depression. , 2009, The Journal of clinical investigation.

[36]  P. Renshaw,et al.  Update on the use of MR for assessment and diagnosis of psychiatric diseases. , 2010, Radiology.

[37]  Thomas R Insel,et al.  Rethinking mental illness. , 2010, JAMA.

[38]  Daniel R. Weinberger,et al.  Imaging genetics—days of future past , 2010, NeuroImage.

[39]  A P Georgopoulos,et al.  The synchronous neural interactions test as a functional neuromarker for post-traumatic stress disorder (PTSD): a robust classification method based on the bootstrap , 2010, Journal of neural engineering.

[40]  E. Callaway,et al.  Deep brain stimulation for obsessive-compulsive disorder and treatment-resistant depression: systematic review , 2010, BMC Research Notes.

[41]  T. Insel,et al.  Wesleyan University From the SelectedWorks of Charles A . Sanislow , Ph . D . 2010 Research Domain Criteria ( RDoC ) : Toward a New Classification Framework for Research on Mental Disorders , 2018 .

[42]  Psychiatry. Proposed revisions to psychiatry's canon unveiled. , 2010, Science.

[43]  Greg Miller,et al.  Psychiatry. Beyond DSM: seeking a brain-based classification of mental illness. , 2010, Science.

[44]  Daniel S Pine,et al.  Amygdala activation during emotion processing of neutral faces in children with severe mood dysregulation versus ADHD or bipolar disorder. , 2010, The American journal of psychiatry.