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In the case of NSS, physicians can collect information from a smartphone's motion sensors, like those that adjust the screen display from portrait to landscape and react to gaming-related gestures, to detect behavior patterns as possible NSS markers. Torous and his colleagues were the first to define 'digital phenotyping,' the use of data from smart devices to identify behavior patterns that can detect disease. In a perspectives article published in Harvard Review of Psychiatry (HRP), part of the Lippincott portfolio from Wolters Kluwer, John Torous, MD, MBI and colleagues of Harvard's Beth Israel Deaconess Medical Center and the Massachusetts Mental Health Center in Boston, discuss how smartphone sensing technology could be used to create standardized NSS assessments.Īdvances in smartphones and digital phenotyping offer a means for more reliable scoring Unfortunately, barriers to assessment have persisted for more than 40 years-rating systems for NSS are subjective, so it's difficult to reliably measure and compare deficits.

NSS doesn't always cause impairment of daily living, but identifying them could improve the diagnosis and treatment of schizophrenia and enhance understanding of the disease itself. SeptemSince the 1980s, we have known that neurological soft signs (NSS) can distinguish people with schizophrenia from psychiatrically healthy individuals. NSS are subtle neurological impairments that principally manifest as decreased sensory integration (trouble receiving and responding to information transmitted to the brain through the senses) and difficulties with balance, rapid successive movements, and right–left orientation.

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