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Differences in Head Motion During Functional Magnetic Resonance Imaging Across Pediatric Neuropsychiatric Disorders
Tracey C Shi1, Katherine Durham2, Rachel Marsh1,2
1Columbia University Irving Medical Center, New York, New York.
Insights
Pediatric head motion during neuroimaging did not significantly differ by externalizing or internalizing disorders. However, age-related motion decreases were less pronounced in children with neurodevelopmental disorders.
Area of Science:
- Neuroimaging
- Pediatric Neuropsychiatry
- Brain Development
Background:
- Robust head motion correction is crucial in functional magnetic resonance imaging (fMRI) to prevent artifact-driven findings.
- Pediatric head motion varies across neuropsychiatric disorders, but comprehensive evaluation across diagnoses is lacking.
- Previous research suggests potential links between specific diagnoses and head motion, necessitating further investigation.
Purpose of the Study:
- To evaluate head motion in pediatric neuroimaging across a range of neuropsychiatric diagnoses.
- To test preregistered hypotheses regarding associations between externalizing/internalizing disorders and head motion.
- To explore the interaction between age, neurodevelopmental status, and head motion in children.
Main Methods:
- Analysis of Healthy Brain Network data (discovery n=971, confirmatory n=437).
- Linear mixed-effects models used to assess in-scanner head motion as the dependent variable.
- Independent variables included presence/absence of externalizing or internalizing disorders, and age.
Main Results:
- Confirmatory analyses found no significant associations between head motion and externalizing or internalizing disorders.
- Preregistered hypotheses regarding diagnostic associations with head motion were not supported.
- A consistent interaction revealed attenuated age-related decreases in head motion for children with neurodevelopmental disorders.
Conclusions:
- Head motion is a significant confound in pediatric neuroimaging, influenced by various factors.
- Neuropsychiatric diagnoses alone did not predict head motion in this pediatric cohort.
- The interaction between age and neurodevelopmental disorders impacts head motion trends, highlighting its complexity.
Background:
Robust correction for head motion during functional magnetic resonance imaging is critical to avoid artifact-driven findings. Despite head motion differences across neuropsychiatric disorders, pediatric head motion across a range of diagnoses and covariates has not yet been evaluated. We tested 4 preregistered hypotheses: 1) externalizing disorder diagnoses will associate with more head motion during scanning; 2) internalizing disorder diagnoses will associate with less motion; 3) among children without attention-deficit/hyperactivity disorder, externalizing disorders will associate with more motion; and 4) among children with attention-deficit/hyperactivity disorder, comorbid internalizing disorders will associate with less motion.
Methods:
Healthy Brain Network data releases 1.0-7.0 (n = 971) were analyzed in a discovery phase, and additional data released by February 29, 2024 (n = 437) were used in confirmatory analyses. Linear mixed-effects models were fitted with in-scanner head motion as the dependent variable. Binary independent variables of interest assessed for the presence or absence of externalizing or internalizing disorders.
Results:
The confirmatory sample did not show significant associations between head motion and externalizing or internalizing disorders or support for the preregistered hypotheses. Across samples, there was a consistent interaction between age and neurodevelopmental diagnoses such that age-related decreases in head motion were attenuated in children with neurodevelopmental disorders.
Conclusions:
Head motion remains an important confound in pediatric neuroimaging that may be associated with many factors, including neuropsychiatric symptoms, age, cognitive and physical attributes, and interactions among these variables. This work takes a step toward parsing these complex associations, focusing on neuropsychiatric diagnoses, age, and their interaction.
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