Understand the Science
Understand the Science
Explore the Frameworks, Models, Methodology, Evidence, and Research Progress
This page provides a starting point for understanding Kimberly Kitzerow’s scientific work, how the models were developed, how they compare with existing models, and how emerging research is evaluated against the previously documented work.
Follow the work from the underlying systems framework through the proposed autism and ADHD models, the NeuroToggle® pedagogical framework, the methodology used to uncover the biochemical cascade, supporting scientific evidence, Kimberly’s novel primary source contributions, the documented timeline, converging evidence across past, present, and future data, independent study comparisons, and ongoing research progress.
BioToggle®: The Systems Framework
Start with the overarching biological framework.
BioToggle® is a systems framework for understanding how stress-related biological regulation and gene expression affect interconnected biological systems over time.
BioToggles
Five regulatory system domains: Immune, Metabolism, Cellular Repair, Nervous System, and Genetic Regulation.
BioDials
Temporal system domains that account for how biological regulation changes across developmental, circadian, circannual, and aging-related timing.
Systems + Time
Together, the BioToggles and BioDials help explain which interconnected biological systems are affected, when those effects occur, and how those effects may influence development, systemic function, traits, comorbidities, and phenotype clustering over time.
Autism and the Comorbidities Cascade
See how the systems framework applies to autism and its commonly co-occurring conditions.
Kimberly Kitzerow’s Autism and the Comorbidities Cascade is a theoretical model proposing that genetic and epigenetic factors can chronically activate the biological stress response during neural development, shifting biological resources toward survival-related functions.
Effects on Neural Development → Autism Traits
Changes in the development and function of neural circuitry contribute to differences in communication, sensory processing, learning, behavior, movement, and other autism traits.
Effects on Systemic Function → Comorbid Traits
Simultaneous effects across interconnected biological systems contribute to the medical and biological conditions that commonly co-occur with autism.
Effects Across Biological Systems and Time → Phenotype Clustering
Which interconnected pathways are affected, and when those effects occur across key developmental and temporal periods, may help explain why autism and comorbid traits cluster differently among individuals.
NeuroToggle®: The Pedagogical Framework
Explore how neuroplasticity-informed teaching experiences can support the neural circuitry underlying skills and behaviors.
NeuroToggle® is a pedagogical framework for neurodivergent learning. It is based on the understanding that sensory, motor, and processing neural circuits work together to contain the information for how to perform skills and behaviors.
The framework uses targeted, experience-driven teaching to support neuroplasticity and the development of these neural circuits through four processes: Build, Strengthen, Expand, and Time.
How NeuroToggle® Supports Learning
NeuroToggle® provides a structured way to identify the neural circuitry required for a skill or behavior and use learning experiences to build developing circuits, strengthen existing circuits, expand their use across contexts, and provide the time required for experience-driven neural change.
How Does NeuroToggle® Compare to Existing Frameworks?
Explore how NeuroToggle® relates to existing skill and behavior development frameworks, where the approaches overlap, and what distinguishes NeuroToggle®’s focus on the neural circuitry and neuroplasticity underlying skill and behavior development.
Kitzerow’s ADHD Model
Explore how the systems-level approach applies to ADHD.
Kitzerow’s ADHD Model examines ADHD through the relationship between biological stress regulation, catecholamine availability, and the neural circuitry involved in attention, motivation, executive functioning, reward, and behavioral regulation.
The model provides a framework for examining how ADHD may occur independently or alongside autism while sharing overlapping biological mechanisms.
How Does the Model Compare to Existing Biochemical Autism Pathology Models?
Understand what distinguishes the model’s organizing structure.
Existing biochemical autism pathology models examine mechanisms involving metabolism, immune function, mitochondrial function, redox biology, neurotransmitters, methylation, and other biological pathways.
This comparison examines how Kimberly Kitzerow’s systems-level model relates to those existing explanations, including where proposed mechanisms overlap and how individual biological findings may fit within a broader interconnected cascade.
It also examines what distinguishes the model’s organizing structure, including the proposed role of BH4 shunting as an organizing mechanism and how regulatory system activation, duration, and temporal system domains may shape cascade behavior over time.
How Was the Model Created?
Explore the Jigsaw Puzzle Methodology.
Kimberly developed a biochemical network of human gene-coded proteins to create a species-level biological blueprint.
She then compared biomarkers associated with autism and commonly co-occurring conditions against that network to identify where biological function appeared to diverge from the blueprint.
By connecting those findings across biologically interconnected pathways, she identified the proposed biochemical cascade underlying the model.
Kimberly calls this approach the Jigsaw Puzzle Methodology.
What Scientific Evidence Supports the Model?
Examine the scientific evidence supporting the proposed mechanisms.
The ResearchGate articles bring together scientific evidence supporting the mechanisms and biological relationships identified through the Jigsaw Puzzle Methodology.
Each article examines components of the proposed biochemical cascade and connects them with relevant findings from the scientific literature, allowing readers to explore the evidence supporting individual mechanisms within the broader model.
Read the Supporting Scientific Work
The ResearchGate articles provide supporting evidence for the mechanisms identified through Kimberly Kitzerow’s work. The biochemical cascade itself was uncovered through the Jigsaw Puzzle Methodology.
What Are Kimberly Kitzerow’s Novel Contributions?
Identify the original frameworks, models, mechanisms, methodologies, and concepts introduced through the work.
The Primary Source List provides a centralized record of Kimberly Kitzerow’s novel contributions and identifies the concepts that originated through her work.
It distinguishes Kimberly’s original intellectual contributions from the existing scientific literature used to support, contextualize, and evaluate them.
Documenting the Novel Contributions
The list brings together the original frameworks, theoretical models, proposed mechanisms, methodologies, organizing structures, and other concepts developed through Kimberly’s work so readers can identify what she contributed and trace those contributions back to their primary source documentation.
When Was the Work Created?
Follow the documented development of the work over time.
The documented timeline provides a chronological record of the development and public documentation of Kimberly’s work.
It allows readers to follow the progression from the original observations and methodology through the identification, development, and public documentation of major components of the frameworks and models.
Why the Timeline Matters
The timeline is particularly relevant when evaluating later research because it establishes what mechanisms and relationships were publicly documented, and when.
Why Does Converging Evidence Matter?
A biologically valid theoretical model should remain coherent across past, present, and future data.
Biological mechanisms are constrained by the underlying system. Pathways, enzymes, substrates, regulatory states, and their relationships do not change depending on who studies them or which research method is used.
If a theoretical model accurately identifies the underlying biological structure, evidence collected at different times and through different methods should increasingly converge around the same mechanisms, pathways, sequences, and system-level relationships.
Earlier Findings Become Interpretable
A strong model should provide a coherent biological structure for findings that already existed before the model was developed. Evidence that once appeared disconnected or contradictory may become interpretable as different components of the same underlying biological system.
Independent Evidence Aligns
Current research conducted independently and through different methodologies should increasingly identify mechanisms, pathways, or system-level relationships that align with the structure proposed by the model.
New Research Tests the Model
Later studies provide prospective opportunities to evaluate whether newly generated data continue to follow the biological structure proposed by the model. New findings can support, refine, challenge, or contradict its predictions.
Convergence Across Time
The strength of convergence comes from consistency across time and methodological independence. A biologically viable model should be able to organize earlier findings, explain current evidence, and provide a framework against which future discoveries can be evaluated.
When evidence from the past, present, and future repeatedly points toward the same constrained biological architecture, confidence in the biological validity of the theoretical model increases.
How Are Independent Studies Evaluated Against the Previously Documented Work?
Use a consistent rubric to evaluate post-discovery alignment.
When later research converges with mechanisms or structural relationships already documented in Kimberly Kitzerow’s work, the Converging Evidence Report Card evaluates whether the overall pattern is more consistent with independent derivation or possible unattributed use.
Gate Condition: Temporal Precedence
The framework must predate the later study for the rubric to apply.
Once temporal precedence is established, the report card evaluates the pattern across five conditions:
Dissemination Gap
How long the framework was publicly available before the later study was published.
Publication Timeline
How long the later study took from its identifiable start to completion.
Exposure Likelihood
The likelihood that the researchers or institution could have encountered the framework through direct contact, affiliation, public dissemination, or AI-assisted access.
Structural Specificity
The degree of overlap in the hypothesis, mechanisms, structure, sequence, or conclusions.
Institutional Response
How the institution responds after being notified, ranging from collaborative engagement to guarded, defensive, or dismissive responses.
30-Point Sliding Scale
The rubric uses a sliding 30-point scale. Lower scores indicate greater concern, while higher scores are more consistent with independent derivation.
The final assessment considers the combined pattern across the conditions rather than relying on any single factor alone.
Where Does the Research Stand Now?
Track the evidence as the science develops.
The Research Progress Tracker provides a centralized view of the current evidence surrounding major components of the model.
It allows readers to follow individual mechanisms and see where evidence is emerging, where findings from independent researchers are converging, and where research is beginning to move toward potential diagnostic or treatment applications.
Follow the Evidence as It Develops
Because the evidence continues to develop, the tracker helps distinguish between theoretical mechanisms, emerging support, converging evidence, potential translational applications, and areas requiring additional research.