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Chunk #34 — RESULTS — Predicting a patient’s responsiveness to Li according to electrophysiological measurements

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Neurons derived from patients with bipolar disorder divide into intrinsically different sub-populations of neurons, predicting the patients' responsiveness to lithium.
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with 5-cell recordings it was 88%. When classifying patient SBP005 (LR) with 1-neuron recordings, the success rate was 67%; with 3-cell recordings, the success rate was 81%, and with 5-cell recordings it was 90%. When classifying patient SBP007 (LR) with 1-neuron recording, the success rate was 73%; with 3-cell recordings the success rate was 76%, and with 5-cell recordings it was 85%. When classifying patient SBP010 (LR) with 1-neuron recordings, the success rate was 82%; with 3-cell recordings, the success rate was 97%, and with 5-cell recordings it was 100%. The performance was further assessed by calculating the receiver-operating characteristics curve for classification according to a single neuron recordings, 3-cell recordings or 5-cell recordings (see Figure 4c), where the area under the curve was 0.81, 0.94 and 0.98, respectively. To summarize, having obtained electro-physiological measurements of a new patient, we can predict with excellent accuracy whether this patient will respond well to Li treatment.