Method and apparatus for computer modeling of the interaction between and among cortical and subcortical areas in the human brain for the purpose of predicting the effect of drugs in psychiatric & cognitive diseases
First Claim
1. A method for developing a computer model of a generic receptor, comprising:
- (a)(i) identifying a plurality of biological processes related to a synapse; and
(a)(ii)combining the plurality of biological processes to form a quantitative simulation of the functional concentration of a pharmacological agent in the synapse;
or (b)(i) identifying a plurality of biological processes related to a region within a brain, the plurality of biological processes including at least one biological process related to neuronal activity; and
(b)(ii) combining the plurality of biological processes to form a simulation of activity of the region.
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Abstract
Computer modeling of interactions between and among cortico and subcortical areas of the human brain, for example in a normal and a pathological state resembling schizophrenia which pathological state has inputs representing the effects of a drug(s), for the purpose of using the outputs to predict the effect of drugs in psychiatric and cognitive diseases. A method is provided for developing a computer model of interactions between and among cortico and subcortical areas of the human brain which comprises the steps of identifying data relating to a biological state of a generic synapse model, the striatum, Locus Coeruleus, Dorsal raphe, hippocampus, amygdala and cortex; identifying biological processes related to the data, these identified biological processes defining at least one portion of the biological state of the generic synapse model, the striatum, Locus Coeruleus, Dorsal raphe, hippocampus, amygdala, and cortex; and combining the biological processes to form a simulation of the biological state of interactions between and among cortico and subcortical areas of the human brain. Diseases that can be modeled include psychiatric disorders, such as schizophrenia, bipolar disorder, major depression, ADHD, autism, obsessive-compulsive disorder, substance abuse and cognitive deficits therein and neurological disorders such as Alzheimer'"'"'s disease, Mild Cognitive impairment, Parkinson'"'"'s disease, stroke, vascular dementia, Huntington'"'"'s disease, epilepsy and Down syndrome. A resulting computer model is of the biological state of interactions between and among cortico and subcortical areas of the human brain, comprising code to define the biological processes related to the biological state of the generic synapse model, the striatum, Locus Coeruleus, Dorsal raphe, hippocampus, amygdala and cortex, and code to define the mathematical relationships related to interactions among biological variables associated with the biological processes. At least two of the biological processes are associated with the mathematical relationships. A combination of the code to define the biological processes and the code to define the mathematical relationships define a simulation of the biological state of the interactions between and among cortico and subcortical areas of the human brain. Computer executable software code is provided comprised of code to define biological processes related to a biological state of interactions between and among cortico and subcortical areas of the human brain including code to define mathematical relations associated with the biological processes. A computer model of interactions between and among cortico and subcortical areas of the human brain is provided, comprising a computer-readable memory storing codes and a processor coupled to the computer-readable memory, the processor configured to execute the codes. The memory comprises code to define biological processes related to the biological state of interactions between and among cortico and subcortical areas of the human brain, and code to define mathematical relationships related to interactions among biological variables associated with the biological processes.
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Citations
36 Claims
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1. A method for developing a computer model of a generic receptor, comprising:
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(a)(i) identifying a plurality of biological processes related to a synapse; and
(a)(ii)combining the plurality of biological processes to form a quantitative simulation of the functional concentration of a pharmacological agent in the synapse;
or(b)(i) identifying a plurality of biological processes related to a region within a brain, the plurality of biological processes including at least one biological process related to neuronal activity; and
(b)(ii) combining the plurality of biological processes to form a simulation of activity of the region. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A processor-readable medium comprising code representing instructions to cause a processor to:
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define a plurality of biological processes related to a biological state of an animal or human striatum, Locus Coeruleus, Dorsal Raphe, Hippocampus, Amygdala and cortex, the plurality of biological processes including at least one of a first set of biological processes related to neurotransmitter dynamics and a second set of biological processes related to neuronal activation; and
define a plurality of mathematical relationships related to interactions among biological variables associated with the plurality of biological processes;
at least two biological processes from the plurality of biological processes being associated with the plurality of mathematical relationships, a combination of the plurality of biological processes and the plurality of mathematical relationships defining a simulation of the biological state of the animal or human striatum, Locus Coeruleus, Dorsal Raphe, Hippocampus, Amygdala or cortex. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A method for developing a computer model of diseased interactions between and among cortical and sub-cortical brain areas, comprising:
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receiving a plurality of user-selected therapeutic interventions to modulate a plurality of biological processes, each biological process from the plurality of biological processes being based on data that relates changes in biological states to biological attributes of the diseased cortico-subcortical pathways, producing a simulated biological attribute associated with at least one biological attribute of the diseased interactions between and among cortical and sub-cortical brain areas based on the combined plurality of biology processes and a user-defined input, and translating the simulated biological attribute to an effect on a clinical scale with appropriate confidence and prediction intervals, based upon statistical analysis. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36)
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Specification