It’s called mental imbalance for a reason. Sanity hangs, in part, in the gentle balance of chemicals strung together within regions of the brain in an intricate matrix.
In schizophrenia, the matrix is sharply jarred, debilitating the mind and triggering hallucinations. Now, researchers have created an interactive model of that matrix to fast-track research and treatment of the tormenting disorder.
It uses massive amounts of research data to simulate major systemic chemical changes in the brains of schizophrenia sufferers, but then depicts them in simple, colorful graphics.
Clinicians could use the interactive model to help patients and their loved ones better understand the chemical underpinnings of the disease and therapeutic alternatives. And researchers could test out hypotheses virtually, quickly, and easily, and get a better overall sense of the disease.
Research on schizophrenia can be a bit compartmentalized.
“Most researchers study a disease from their own specialty’s focus and perspective. Then they may form a hypothesis based on dopamine or glutamate or some other single neurotransmitter,” says research engineer Zhen Qi of the biomedical engineering department at Georgia Institute of Technology and Emory University. “Our model integrates all neurotransmitter systems.”
Big names in neurochemistry
There are a handful of neurochemicals most everyone has heard of in connection with mental well-being.
Who hasn’t read articles encouraging us all to eat more chocolate in hopes it will make us cheerier by boosting dopamine and serotonin?
“Dopamine triggers reward systems in the brain,” Qi says. “Illegal drugs like amphetamines work with it. Dopamine makes you feel good.”
Serotonin is subtler and has mainly auxiliary functions. It sometimes counteracts dopamine’s effects. Norepinephrine is also well known, though often mistakenly referred to as adrenalin (which is actually epinephrine).
Together with other substances, these neurotransmitters help regulate the activities of at least 11 regions of the brain to do things like orchestrate parts of consciousness, including what’s called “working memory.”
Qi and his team built the computational model around the neurochemistry behind that cognitive function, which goes badly awry in schizophrenia.
Working memory is short-term recollection that lends the mind coherence. It remembers what we saw, said, or did seconds ago and what we want to do seconds from now.
Hallucinations may be the eye-catching, popularized symptom of schizophrenia, but the disease’s impairment of working memory, though less attention-grabbing, arguably debilitates sufferers more.
“Working memory deficits disrupt storing and processing of information as basic as letters and numbers, and they hinder the recall of stored information,” Qi says. “That makes learning and planning difficult.”
The researchers found that there is a stark lack of medical treatment for this symptom.
“Cognitive symptoms were actually associated with schizophrenia before symptoms like hallucinations became the focus,” says Eberhard Voit, a Georgia Tech biomedical engineer who supervised the modeling effort. “Yet, drugs for schizophrenia mainly target the latter symptoms.”
Two neurotransmitters, glutamate and gamma-aminobutyric acid (GABA), are crucial to working memory in their coordination of two brain regions, the dorsal prefrontal cortex and the basal ganglia. Glutamate boosts nerve transmission, and GABA tones it down, and it’s important for the two to strike a balance. But other neurotransmitters associated with additional brain regions also tug at that balance.
Like a nursery mobile
They all hang together much like in a mobile over a baby’s crib. Bump one substance, and it knocks a whole system out of whack.
“Increasing the amount of any one neurotransmitter corresponds to pulling on that mobile. But this one neurotransmitter also affects all the other neurotransmitters through an interaction web,” Voit says. “The new state of the mobile is very difficult to foresee.”
This makes it challenging for a psychiatrist to adjust a patient’s prescriptions and predict what the overall effects might be. That’s where Qi’s and Voit’s computational model comes in.
The researchers collected studies on brain chemistry in schizophrenia from nearly 50 labs around the world, and mined the data.
To interpret what they found, they consulted researchers who have dedicated their lives to exploring schizophrenia, and they fed the information into differential equations representing relationships between neurochemical systems.
They arrived at a novel map of the brain chemistry behind working memory dysfunction in schizophrenia. “That is new, this map. It reflects the collective knowledge of the scientific community,” Voit says.
“With the information assembled, we wrote code to implement this model,” Qi says. The result is a program of the neurochemical matrix that’s easy to use.
Dots in motion
Users can input varying levels of neurotransmitters, and the matrix model simulates the labyrinthine domino effects they have on each other. But the output to the user is much simpler, even playful.
“What the user sees is a mobile tilting back and forth,” Voit says. Color-coded dots on the mobile represent neurotransmitters. If doctors or researchers tug at one, the others follow until a new state is reached.
“The mobile looks simple, although it takes into account the underlying complex interactions among neurotransmitters that determine the nodes in the mobile,” Qi says.
With a few months’ work, a graphic user interface could be constructed to allow doctors and researchers to easily use the new computational model.
The more new research data other scientists add, the better Qi and Voit will be able to optimize the system and connect isolated pockets of knowledge from labs around the world to a greater whole for the greater good.
The research appear in the journal Biochimica et Biophysica Acta (BBA)—General Subjects. Additional coauthors contributed from Georgia Tech; the Bertalaniffy Center for the Study of Systems Science in Vienna, Austria; the University of Munich, and the University of Pittsburgh.
Funding came from the National Institutes of Health, the National Science Foundation, and the Georgia Research Alliance. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsoring institutions.
Source: Georgia Tech