Obsessive-compulsive disorder (OCD) affects ∼1 to 3% of the world’s population. However, the neural mechanisms underlying the excessive checking symptoms in OCD are not fully understood. Using viral neuronal tracing in mice, we found that glutamatergic neurons from the basolateral amygdala (BLAGlu) project onto both medial prefrontal cortex glutamate (mPFCGlu) and GABA (mPFCGABA) neurons that locally innervate mPFCGlu neurons. Next, we developed an OCD checking mouse model with quinpirole-induced repetitive checking behaviors. This model demonstrated decreased glutamatergic mPFC microcircuit activity regulated by enhanced BLAGlu inputs. Optical or chemogenetic manipulations of this maladaptive circuitry restored the behavioral response. These findings were verified in a mouse functional magnetic resonance imaging (fMRI) study, in which the BLA–mPFC functional connectivity was increased in OCD mice. Together, these findings define a unique BLAGlu→mPFCGABA→Glu circuit that controls the checking symptoms of OCD.
A thorough research on the high-accuracy estimation for the electrical harmonic parameters by using the Interpolated FFT algorithm was conducted. The window type and width are the main factors influencing the analysis precision. Like Bartlett, Hann, and Hamming windows, Bartlett-Hann window has a main lobe at the origin and asymptotically decaying side lobes on both sides. It is a linear combination of weighted Bartlett and Hann windows with near side lobes lower than both Bartlett and Hann and with far side lobes' level lower than both Bartlett and Hann windows. After analyzing the common windows and electrical signals, the Bartlett-Hann window was more suitable for the analysis of electrical signals and the Interpolated FFT algorithm was given as well. Simulation result showed that given the Interpolated FFT algorithm based on Bartlett-Hann window, the estimation precision of electrical signals' frequencies, amplitudes and phases meet the state standard of power quality.
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