Multimodal canonical correlation reveals converging neural circuitry across trauma-related disorders of affect and cognition

Autor: Andrea D. Spadoni, Monte S. Buchsbaum, Daniel M. Stout, Victoria B. Risbrough, Scott C. Matthews, Irina A. Strigo, Alan N. Simmons
Rok vydání: 2018
Předmět:
0301 basic medicine
Physiology
Biochemistry
lcsh:RC346-429
0302 clinical medicine
Endocrinology
TBI
screening and diagnosis
medicine.diagnostic_test
Depression
lcsh:QP351-495
Cognition
PTSD
Anticipation
Articles from the Special Issue on Imaging Stress
Edited by Michael R Bruchas and Alan Simmons
Detection
medicine.anatomical_structure
Mental Health
Neurological
Biomedical Imaging
Psychology
Physical Injury - Accidents and Adverse Effects
Grey matter
Trauma
Basic Behavioral and Social Science
lcsh:RC321-571
03 medical and health sciences
Cellular and Molecular Neuroscience
Neuroimaging
Canonical correlation
Clinical Research
Multimodal imaging
Behavioral and Social Science
medicine
Biological neural network
Middle frontal gyrus
Molecular Biology
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
lcsh:Neurology. Diseases of the nervous system
Traumatic Head and Spine Injury
Endocrine and Autonomic Systems
Neurosciences
Brain Disorders
4.1 Discovery and preclinical testing of markers and technologies
030104 developmental biology
lcsh:Neurophysiology and neuropsychology
Verbal memory
Functional magnetic resonance imaging
Neuroscience
030217 neurology & neurosurgery
Zdroj: Neurobiology of Stress
Neurobiology of Stress, Vol 9, Iss, Pp 241-250 (2018)
ISSN: 2352-2895
Popis: Trauma-related disorders of affect and cognition (TRACs) are associated with a high degree of diagnostic comorbidity, which may suggest that these disorders share a set of underlying neural mechanisms. TRACs are characterized by aberrations in functional and structural circuits subserving verbal memory and affective anticipation. Yet, it remains unknown how the neural circuitry underlying these multiple mechanisms contribute to TRACs. Here, in a sample of 47 combat Veterans, we measured affective anticipation using functional magnetic resonance imaging (fMRI), verbal memory with fluorodeoxyglucose positron emission tomography (FDG-PET), and grey matter volume with structural magnetic resonance imaging (sMRI). Using a voxel-based multimodal canonical correlation analysis (mCCA), the set of neural measures were statistically integrated, or fused, with a set of TRAC symptom measures including mild traumatic brain injury (mTBI), posttraumatic stress, and depression severity. The first canonical correlation pair revealed neural convergence in clusters encompassing the middle frontal gyrus and supplemental motor area, regions implicated in top-down cognitive control and affect regulation. These results highlight the potential of leveraging multivariate neuroimaging analysis for linking neurobiological mechanisms associated with TRACs, paving the way for transdiagnostic biomarkers and targets for treatment. Keywords: Trauma, TBI, PTSD, Multimodal imaging, Canonical correlation
Databáze: OpenAIRE