Methods and magnetic imaging devices to inventory human brain cortical function
AssigneeBrain F.I.T. Imaging, LLC
InventorsJohn P. Ford, Gustavo P. Sudre
Life of this patent
Estimating the term…
Abstract
Techniques are described for determining cognitive impairment, an example of which includes accessing a set of epochs of magnetoencephalography (MEG) data of responses of a brain of a test patient to a plurality of auditory stimulus events; processing the set of epochs to identify parameter values one or more of which is based on information from the individual epochs without averaging or otherwise collapsing the epoch data. The parameter values are input into a model that is trained based on the parameters to determine whether the test patient is cognitively impaired.
Claims75
A method comprising:
- accessing a set of epochs of magnetoencephalography (MEG) data of responses of a brain of a test patient to a plurality of auditory stimulus events;
- processing the set of epochs to identify a tri-peak subset of the epochs, each epoch in the subset comprising a first peak, a second peak, and a third peak;
- determining a plurality of parameter values by analyzing the individual epochs of the MEG data,
- at least one of the parameter values determined based on a count of epochs in the set having one or more of the first, second, and third peaks;
- and
- at least one of the parameter values determined based on amplitudes of one of first, second, and third peaks of at least some of the epochs in the tri-peak sub set;
- inputting the parameter values into a model that is trained based on the parameters to determine whether the test patient is cognitively impaired;
- and
- providing the determination.
A method comprising:
- accessing a set of epochs of magnetoencephalography (MEG) data of responses of a brain of a test patient to a plurality of auditory stimulus events;
- processing the set of epochs to identify a tri-peak subset of the epochs, each epoch in the subset comprising a first peak, a second peak, and a third peak;
- determining a plurality of parameter values, at least one of the parameter values determined based on analyzing MEG data from individual epochs within at least one of the set of epochs and the tri-peak subset of epochs;
- inputting the parameter values into a model that is trained based on the parameters to determine whether the test patient is cognitively impaired;
- and
- providing the determination.
A method comprising:
- accessing a set of epochs of magnetoencephalography (MEG) data of responses of a brain of a test patient to a plurality of auditory stimulus events;
- processing the set of epochs to identify a tri-peak subset of the epochs, each epoch in the subset comprising a first peak, a second peak, and a third peak;
- determining, a plurality of parameter values, the determining comprising
- identifying a strongA subset of the epochs of the set having a strongest amplitude for the type-A peak relative to the other epochs in the set;
- determining a strongA_Bnum parameter representing a count of the epochs in the strongA subset having a type-B peak;
- identifying a weakA subset of the epochs of the set having a weakest amplitude for the type-A peak relative to the other epochs in the tri-peak sub set;
- determining a weakA_B amp parameter representing a measure of amplitudes of the type-B peaks of the epochs in the weakA subset;
- determining a weakA_Camp parameter representing a measure of amplitudes of the type-C peaks of the epochs in the weakA subset;
- an A*B*C parameter representing a count of the epochs in the tri-peak subset;
- and
- a nA parameter representing a count of the epochs in the set having a type-A peak;
- inputting the parameter values into a model that is trained based on the parameters to determine whether the test patient is cognitively impaired;
- and
- providing the determination.
A method of diagnosing cognitive impairment in a patient, the method comprising:
- accessing a set of epochs of magnetoencephalography (MEG) data of responses of the patient's brain to a plurality of auditory stimulus events;
- processing the set of epochs to identify a tri-peak subset of the epochs, each epoch in the subset comprising a first peak, a second peak, and a third peak;
- determining a plurality of parameter values by analyzing the individual epochs of the MEG data,
- at least one of the parameter values determined based on a count of epochs in the set having one or more of the first, second, and third peaks;
- and
- at least one of the parameter values determined based on amplitudes of one of first, second, and third peaks of at least some of the epochs in the tri-peak sub set;
- inputting the parameter values into a model that is trained based on the parameters to determine whether a patient is cognitively impaired;
- and
- providing the determination.
A method of diagnostically discriminating cognitive impairment in a patient caused by neurodegeneration from cognitive impairment of other etiology, the method comprising:
- accessing a set of epochs of magnetoencephalography (MEG) data of responses of the patient's brain to a plurality of auditory stimulus events;
- processing the set of epochs to identify a tri-peak subset of the epochs, each epoch in the subset comprising a first peak, a second peak, and a third peak;
- determining a plurality of parameter values by analyzing the individual epochs of the MEG data,
- at least one of the parameter values determined based on a count of epochs in the set having one or more of the first, second, and third peaks;
- and
- at least one of the parameter values determined based on amplitudes of one of first, second, and third peaks of at least some of the epochs in the tri-peak sub set;
- inputting the parameter values into a model that is trained based on the parameters to determine whether a patient is cognitively impaired and to discriminate cognitive impairment caused by neurodegeneration from cognitive impairment of other etiology;
- and
- providing the determination.
A method of treating a patient having cognitive impairment, the method comprising:
- administering a therapeutically effective amount of an anti-cognitive impairment therapeutic agent to a patient who has been determined to have cognitive impairment,
- wherein the determination was made by a method comprising
- accessing a set of epochs of magnetoencephalography (MEG) data of responses of the patient's brain to a plurality of auditory stimulus events;
- processing the set of epochs to identify a tri-peak subset of the epochs, each epoch in the subset comprising a first peak, a second peak, and a third peak;
- determining a plurality of parameter values by analyzing the individual epochs of the MEG data,
- at least one of the parameter values determined based on a count of epochs in the set having one or more of the first, second, and third peaks;
- and
- at least one of the parameter values determined based on amplitudes of one of first, second, and third peaks of at least some of the epochs in the tri-peak subset;
- inputting the parameter values into a model that is trained based on the parameters to determine whether a patient is cognitively impaired and to discriminate cognitive impairment caused by neurodegeneration from cognitive impairment of other etiology;
- and
- providing the determination.
A method of setting the dosage of an anti-cognitive impairment therapeutic agent in a patient having cognitive impairment, comprising:
- accessing a set of epochs of magnetoencephalography (MEG) data of responses of the patient's brain to a plurality of auditory stimulus events;
- processing the set of epochs to identify a tri-peak subset of the epochs, each epoch in the subset comprising a first peak, a second peak, and a third peak;
- determining a plurality of parameter values by analyzing the individual epochs of the MEG data,
- at least one of the parameter values determined based on a count of epochs in the set having one or more of the first, second, and third peaks;
- and
- at least one of the parameter values determined based on amplitudes of one of first, second, and third peaks of at least some of the epochs in the tri-peak sub set;
- inputting the parameter values into a model that is trained based on the parameters to determine whether a patient is cognitively impaired and to discriminate degrees of cognitive impairment;
- and
- providing the determination as to degree of cognitive impairment;
- and
- setting the dosage of the anti-cognitive impairment therapeutic agent based on the determined degree of the patient's cognitive impairment.
A method of titrating the dosage of an anti-cognitive impairment therapeutic agent in a patient having cognitive impairment, comprising:
- performing a first determination and a second determination of the degree of cognitive impairment at a spaced interval during which interval the patient has been receiving an anti-cognitive impairment therapeutic agent at a first dosage level;
- and
- increasing the dose of the anti-cognitive impairment therapeutic agent to a second dosage level if the degree of cognitive impairment has increased between the first and second determinations,
- wherein each of the first and second determinations is made by
- accessing a set of epochs of magnetoencephalography (MEG) data of responses of the patient's brain to a plurality of auditory stimulus events;
- processing the set of epochs to identify a tri-peak subset of the epochs, each epoch in the subset comprising a first peak, a second peak, and a third peak;
- determining a plurality of parameter values by analyzing the individual epochs of the MEG data,
- at least one of the parameter values determined based on a count of epochs in the set having one or more of the first, second, and third peaks;
- and
- at least one of the parameter values determined based on amplitudes of one of first, second, and third peaks of at least some of the epochs in the tri-peak subset;
- inputting the parameter values into a model that is trained based on the parameters to discriminate degrees of cognitive impairment;
- and
- providing the determination as to degree of cognitive impairment.
Dependencies are inferred from the claim text.