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Description
Research question(s)
- Are there neural correlates of reading and attention in the ABCD dataset?
- Are there overlapping (or shared) neural correlates of reading and attention that can be identified as a potential neural risk factor for comorbidity? Or are neural correlates relatively distinct?
- Does processing speed moderate the relationship between neural correlates of reading and attention?
Description
Reading disorders and attention disorders often present as comorbid with rates higher than chance (Boada, Willcutt, & Pennington, 2012). According to the multiple deficit model (MDM, also known as multiple factors model; see Pennington, 2006), comorbidity occurs from disorders sharing multiple risk factors at various levels of analysis, including behavioral and neural. Most neuroimaging research in the field of reading and attention disorders has not specifically investigated shared risk factors, especially in a dimensional dataset. Instead, studies often explore "pure" groups, which include individuals who only meet criteria for reading disorder or attention disorder. This approach predisposes statistical analyses to detect differences rather than overlaps (e.g. contrasts vs conjunctions).
Processing speed deficits are often associated with reading and attention disorders, and processing speed scores can predict both single word reading and inattention scores (McGrath et al., 2011). This evidence suggests that processing speed may moderate both reading and attention skills.
The aim of this project is to investigate distinct and overlapping neural correlates of reading and attention using the ABCD cohort as a dimensional dataset. This project will explore correlations between resting state functional connectivity and behavioral measures of reading and attention, including the NIH Cognitive Toolbox's oral reading recognition and flanker inhibitory control and attention measures. Furthermore, this project will determine if there are any moderating effects of processing speed on reading and attention neural correlates by employing the pattern comparison processing speed test.
Tools and algorithms to be used
As I am new to this myself, I'm open to any suggestions! My lab has a past history of approaching this type of question with MVPA (CONN toolbox) and a conjunction analysis in SPM. I was hoping to learn how to do CCA if anyone is knowledgeable in that area and thinks it can be useful here.
Skills we could use help with
Replicable workflows
Docker
Any focus on replicability and sticking to FAIR principles
Suggested keywords/tags
Reading
Attention
Processing speed
Comorbidity
Functional connectivity