Overview
Dr. Kimberly Carpenter is a clinical neuroscientist specializing in understanding complex brain-behavior relationships in young children with autism and associated disorders. Her program of research includes four interrelated research themes: (1) Understanding the impact of comorbid disorders on clinical and behavioral outcomes of young autistic children; (2) Identification of early risk factors for the development of psychiatric and neurodevelopmental disorders; (3) Identification of brain-based biomarkers for group stratification and treatment response tracking in young children; and (4) Improving methods for screening, early identification, and treatment monitoring in autism and associated disorders. She currently leads an innovative research program exploring the shared and unique impacts that co-occurring anxiety and ADHD have on brain and behavioral biomarkers in young autistic children. She was the first to demonstrate that sensory over-responsivity, a symptom that has been described as part of a number of disorders including autism, anxiety, and ADHD, is a specific and unidirectional risk factor for the development of anxiety disorders in young children. She was also the first to demonstrate that, when accounting for comorbidity among individual anxiety disorders, specific anxiety disorders are associated with phenotypically meaningful differences in brain connectivity using MRI. Dr. Carpenter has also collaborated with experts in early childhood mental health, computer science, and engineering to develop novel technologies that utilize multi-modal methods via computer vision and machine learning to develop, refine, and test novel screening tools for early identification and treatment monitoring in young children with autism and related disorders.
Current Appointments & Affiliations
Recent Publications
Use of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli.
Journal Article Sci Rep · August 22, 2025 Electroencephalography (EEG) recordings with visual stimuli require detailed coding to determine the periods of participant's attention. Here we propose to use a supervised machine learning model and off-the-shelf video cameras only. We extract computer vi ... Full text Link to item CitePathways to health: A longitudinal examination of protective factors in children with and without preschool anxiety.
Journal Article Dev Psychopathol · August 2025 Preschool anxiety is highly prevalent and well known to predict risk for future psychopathology. The present study explores whether a diagnosis of an anxiety disorder in preschool interacts with (a) social skills and (b) cognitive ability to longitudinally ... Full text Link to item CiteAttentional and electrophysiological associations with executive function ability in young autistic children.
Journal Article Sci Rep · July 10, 2025 Difficulties in executive functioning (EF) have been consistently reported in autistic individuals, but less is known about the attentional and neural mechanisms driving these difficulties. We explored the associations between EF abilities and sustained at ... Full text Link to item CiteRecent Grants
Duke-NCCU Interdisciplinary Postdoctoral Training Program in Child Psychiatric and Neurodevelopmental Conditions Program (DN-IPT)
Inst. Training Prgm or CMETraining Faculty · Awarded by National Institute of Mental Health · 2024 - 2029Duke University Psychiatry Physician-Scientist Residency Training Program
Inst. Training Prgm or CMEMentor · Awarded by National Institute of Mental Health · 2024 - 2029Electrophysiological biomarkers of social engagement in autism
ResearchCollaborator · Awarded by National Institutes of Health · 2024 - 2028View All Grants