Student1Presentation2019Sp11.pptx

    The MRI Race: Brain Volume Deficiency in individuals with ADHD

    Student Presenter

    Department of Biology, East Central University

    19 April 2019

    Introduction roadmap

    Background

    What Is ADHD?

    The MRI Race and Why We Care

    Paper Citations

    Papers

    Paper #1

    Paper #2

    Paper #3

    What is ADHD?

    Single most common mental disorder affecting children1

    5% of all children

    2.5% of all adults

    Characterized by: Inattention, hyperactivity, and impulsivity

    (1) American Psychiatric Association

    Stanford Medicine 2015 (image)

    ADHD is caused by a wide variety of things. These include problems during pregnancy, premature birth, genetics, and some other things that scientists are still trying to figure out. ADHD is the single most common mental disorder affecting children, affecting 5% of all children and 2.5 percent of adults. ADHD is characterized by inattention, hyperactivity, and impulsivity.

    I originally studied ADHD in my honors thesis. As a future developmental pediatrician I will diagnose and treat ADHD more than any other disorder. I have always been interested in the neurobiology behind ADHD, but using MRI to learn more about the specific structures and areas affected will benefit the future patients I look forward to serving.

    3

    The MRI race and why we care

    Using MRI to visualize brain volumes:

    Unique insight into ADHD brain volume deficiencies

    National Institute of Mental Health 2007 (image)

    Now we need to talk about the neurobiology of ADHD. Research shows that brains of those with AHD develop at a normal rate but is delayed by an average of three years in certain brain regions. If you look at this picture you can see that certain brain structures are delayed between the important ages of 7 and 13. For example the frontal cortex is delayed. The frontal cortex controls thinking, planning, and attention. All behaviors that are associated with ADHD.

    4

    Paper citations

    Paper #1:

    Hoogman M, Bralten J, Hibar DP, Mennes M, Zwiers MP, Schweren L, van Hulzen KJE, Medland SE, Shumskaya E, Jahanshad N, et al. Subcortical brain volume differences of participants with ADHD across the lifespan: an ENIGMA collaboration. The Lancet Psychiatry. 2017 Feb 16:1–39.

    Paper #2:

    Castellanos, F. X.; Lee, P. P.; Sharp, W.; Jeffries, N. O.; Greenstein, D. K.; Clasen, L. S. Developmental Trajectories of Brain Volume Abnormalities in Children and Adolescents With Attention-Deficit/Hyperactivity Disorder. Jama 2002, 288, 1740.

    Paper #3:

    Batty MJ, Liddle EB, Pitiot A, Toro R, Groom MJ, Scerif G, Liotti M, Liddle PF, Paus T, Hollis C. Cortical Gray Matter in Attention-Deficit/Hyperactivity Disorder. Journal of the American Academy of Child & Adolescent Psychiatry. 2010;49(3):229–238.

    ____ = date of publication

    Paper #1: SubCortical Brain Volume Differences of Participants with ADHD Across the Lifespan: an ENIGMA Collaboration

    Mega-analysis

    1713 cases (ADHD)

    1529 controls

    Hoogman et al. 2017

    Cliff Notes:

    Size deficiency in all regions tested except the pallidum and thalamus

    Psychostimulant medication & symptom severity: no effect on size

    Paper #2: Developmental Trajectories of Brain Volume Abnormalities in Children and Adolescents With Attention-Deficit/Hyperactivity Disorder

    Castellanos et al. 2002

    152 cases (ADHD)

    139 controls

    Cliff Notes:

    1. Stimulant medication increases volumes of all structures tested, but not at levels similar to controls

    Paper #3: Cortical Gray Matter in Attention-Deficit/Hyperactivity Disorder: A Structural Magnetic Resonance Imaging Study

    25 cases (ADHD)

    24 controls

    Cliff Notes:

    Statistical deficit of the pars opercularis cortex

    Hypothesis supported

    Batty et al. 2010

    Pars opercularis because of its connection to inhibitory control, a facet of ADHD behavior.

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    Analysis roadmap

    Introduction

    Methods

    Results

    Discussion

    Overview

    Introduction

    Paper #1

    Pros:

    Framing the problem and objectives in separate subsections

    Paper #2

    Pros:

    Detailed literature review

    Paper #3

    Pros:

    Good mix of subject and literature review

    Cons:

    Missing a hypothesis

    Cons:

    Abstract skimpy in context and methods; heavy in results

    Cons:

    Title is general

    Methods

    Paper #1

    Pros:

    Repeatable description of overall experiment

    Paper #2

    Pros:

    Repeatable patient gathering/ screening

    Paper #3

    Pros:

    Matched every ADHD case with a control with matching demographics

    Cons:

    Questionable if experiment can be run without error at every lab

    Cons:

    Unnecessary page-long description of statistics

    Cons:

    No plan for MRI scans w/ movement; All participants on medication; 1 female

    Results

    Paper #1

    Pros:

    Focused on the effects of secondary variables on specific structures

    Paper #2

    Pros:

    Included data linking behavior ratings with brain structures

    Paper #3

    Pros:

    Data presentation answers objectives and hypothesis

    Cons:

    2 graphs for 4 data tables

    Cons:

    1 graph for 3 data tables

    Cons:

    Used color to distinguish data in a graph

    discussion

    Paper #1

    Pros:

    Advocates for DSM update to lower stigma

    Paper #2

    Pros:

    Openly discussed limitations of study

    Paper #3

    Pros:

    Proposed future experiments

    Cons:

    Discussed limitations, but heavily overshadowed by positives

    Cons:

    Repeats results

    Cons:

    Discussed only having a medication group but overlooked past research on subject

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    Overview

    Paper #1

    Pros:

    Added Research in context section

    Paper #2

    Pros:

    Data tables easy to read and interpret

    Paper #3

    Pros:

    Free space for eyes to rest

    Cons:

    Graphs at end of paper

    Cons:

    Results section of abstract absurdly long

    Cons:

    Smallest number of brain scans

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    Conclusion

    My favorite: Paper #1; Hoogman et al. 2017

    My least favorite: Paper #3; Batty et al. 2010

    Each article added to this body of research in their own distinct way

    Interesting Note: Papers 1 & 3 referenced paper 2

    Any questions?

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