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BibTeX
Brainstem abnormalities in attention deficit hyperactivity disorder support high accuracy individual diagnostic classification
Human brain mapping, 2014-10, Vol.35 (10), p.5179-5189
Johnston, Blair A.
Mwangi, Benson
Matthews, Keith
Coghill, David
Konrad, Kerstin
Steele, J. Douglas
2014
Details
Autor(en) / Beteiligte
Johnston, Blair A.
Mwangi, Benson
Matthews, Keith
Coghill, David
Konrad, Kerstin
Steele, J. Douglas
Titel
Brainstem abnormalities in attention deficit hyperactivity disorder support high accuracy individual diagnostic classification
Ist Teil von
Human brain mapping, 2014-10, Vol.35 (10), p.5179-5189
Ort / Verlag
New York, NY: Blackwell Publishing Ltd
Erscheinungsjahr
2014
Link zum Volltext
Quelle
Wiley Online Library All Journals
Beschreibungen/Notizen
Despite extensive research, psychiatry remains an essentially clinical and, therefore, subjective clinical discipline, with no objective biomarkers to guide clinical practice and research. Development of psychiatric biomarkers is consequently important. A promising approach involves the use of machine learning with neuroimaging, to make predictions of diagnosis and treatment response for individual patients. Herein, we describe predictions of attention deficit hyperactivity disorder (ADHD) diagnosis using structural T1 weighted brain scans obtained from 34 young males with ADHD and 34 controls and a support vector machine. We report 93% accuracy of individual subject diagnostic prediction. Importantly, automated selection of brain regions supporting prediction was used. High accuracy prediction was supported by a region of reduced white matter in the brainstem, associated with a pons volumetric reduction in ADHD, adjacent to the noradrenergic locus coeruleus and dopaminergic ventral tegmental area nuclei. Medications used to treat ADHD modify dopaminergic and noradrenergic function. The white matter brainstem finding raises the possibility of “catecholamine disconnection or dysregulation” contributing to the ADHD syndrome, ameliorated by medication. Hum Brain Mapp 35:5179–5189, 2014. © 2014 Wiley Periodicals, Inc.
Sprache
Englisch
Identifikatoren
ISSN: 1065-9471
eISSN: 1097-0193
DOI: 10.1002/hbm.22542
Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6869620
Format
–
Schlagworte
ADHD
,
Adolescent
,
Attention Deficit Disorder with Hyperactivity - classification
,
Attention Deficit Disorder with Hyperactivity - diagnosis
,
Biological and medical sciences
,
Brain Mapping
,
Brain Stem - pathology
,
brainstem
,
Child
,
DARTEL
,
Headache. Facial pains. Syncopes. Epilepsia. Intracranial hypertension. Brain oedema. Cerebral palsy
,
Humans
,
Image Processing, Computer-Assisted
,
Investigative techniques, diagnostic techniques (general aspects)
,
machine learning
,
Magnetic Resonance Imaging
,
Male
,
Medical sciences
,
Nervous system
,
Nervous system (semeiology, syndromes)
,
Neurology
,
Predictive Value of Tests
,
Radiodiagnosis. Nmr imagery. Nmr spectrometry
,
Support Vector Machine
,
Young Adult
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