Mitochondrial quality control （MQC） homeostasis serves as a fundamental mechanism in maintaining the mitochondrial structure and function. Dysregulation of MQC contributes to the progression of acute ischemic stroke （AIS） through multiple pathways including disturbances in energy metabolism， increased oxidative stress， and imbalances in mitochondrial fusion and fission. Drawing upon the traditional Chinese medicine （TCM） theory of the kidney governing Yin and Yang， this study innovatively proposes an integrative model of "Yin-Yang dynamic balance-MQC homeostasis" to elucidate the underlying pathophysiological mechanisms. Specifically， kidney Yang deficiency and decline result in reduced driving force， thereby inhibiting mitochondrial fusion. This leads to decreased efficiency of oxidative phosphorylation and impaired adenosine triphosphate （ATP） production. Conversely， when kidney Yin is dysfunctional and excessive phlegm-blood stasis accumulates， mitochondrial fission becomes hyperactive， causing rapid accumulation of reactive oxygen species （ROS） and intensified oxidative stress. The interplay between these two pathological states culminates in the central TCM pathogenesis—Yin-Yang imbalance and disordered Qi and blood-of AIS. To address this pathogenesis， a therapeutic strategy is proposed： tonifying the kidney as the primary intervention to restore MQC homeostasis， supplemented by resolving phlegm and removing blood stasis to interrupt the deleterious cycle of cerebral vascular damage. This work integrates the holistic perspective of TCM with contemporary molecular insights， offering precise intervention targets along the "kidney-mitochondria axis" for the prevention and treatment of AIS， while establishing a novel integrative paradigm for stroke management that bridges traditional and modern medicine. Future research should focus on elucidating the molecular mechanisms through which TCM regulates MQC in AIS and integrating classical TCM theories with evidence-based medicine to facilitate the translation of theoretical insights into clinical applications.

Objective To observe changes of dynamic functional connectivity(dFC)of brain networks in different stages of Parkinson disease(PD).Methods Totally 52 early-stage PD patients(early PD group),36 late-stage PD patients(late PD group)and 38 healthy controls(HC group)were prospectively enrolled,and resting-state functional MRI were performed.The sliding window,independent component analysis and k-means clustering were used to extract dFC intensity and temporal properties,including fractional windows,dwell time and transition frequency.Results Network connectivity patterns within and between visual network(VIS),sensorimotor network(SMN),default mode network(DMN),cerebellar network(CB)and cognitive executive network(CEN)were altered in PD patients.Four dFC states were identified,in which connections between components in states Ⅰ and Ⅱ were compact,while in states Ⅲ and Ⅳ were sparse.The fractional window and dwell time of late PD group,early PD group and HC group successively increased under state Ⅱ,but successively decreased under state Ⅲ(all P＜0.05).Under state Ⅰ and Ⅳ,no significant difference of fractional window nor dwell time was found between early PD group and late PD group(both P＞0.05),and the above indexes under state Ⅰ were both lower than those in HC group(all P＜0.05),the fraction window under state Ⅳ was higher than that in HC group(both P＜0.05).Conclusion The temporal properties of dFC in PD patients were altered,characterized by increased tendency toward segregated states.Furthermore,fractional windows and dwell time were associated with PD disease stages,suggesting that dFC parameters might serve as novel biomarkers for assessing clinical progression of PD.

Objective To observe changes of dynamic functional connectivity(dFC)of brain networks in different stages of Parkinson disease(PD).Methods Totally 52 early-stage PD patients(early PD group),36 late-stage PD patients(late PD group)and 38 healthy controls(HC group)were prospectively enrolled,and resting-state functional MRI were performed.The sliding window,independent component analysis and k-means clustering were used to extract dFC intensity and temporal properties,including fractional windows,dwell time and transition frequency.Results Network connectivity patterns within and between visual network(VIS),sensorimotor network(SMN),default mode network(DMN),cerebellar network(CB)and cognitive executive network(CEN)were altered in PD patients.Four dFC states were identified,in which connections between components in states Ⅰ and Ⅱ were compact,while in states Ⅲ and Ⅳ were sparse.The fractional window and dwell time of late PD group,early PD group and HC group successively increased under state Ⅱ,but successively decreased under state Ⅲ(all P＜0.05).Under state Ⅰ and Ⅳ,no significant difference of fractional window nor dwell time was found between early PD group and late PD group(both P＞0.05),and the above indexes under state Ⅰ were both lower than those in HC group(all P＜0.05),the fraction window under state Ⅳ was higher than that in HC group(both P＜0.05).Conclusion The temporal properties of dFC in PD patients were altered,characterized by increased tendency toward segregated states.Furthermore,fractional windows and dwell time were associated with PD disease stages,suggesting that dFC parameters might serve as novel biomarkers for assessing clinical progression of PD.