The second most common progressive neurodegenerative disorder, Parkinson’s disease (PD), is characterized by a broad spectrum of symptoms that are associated with its progression. Several studies have attempted to classify PD according to its clinical manifestations and establish objective biomarkers for early diagnosis and for predicting the prognosis of the disease. Recent comprehensive research on the classification of PD using clinical phenotypes has included factors such as dominance, severity, and prognosis of motor and non-motor symptoms and biomarkers. Additionally, neuroimaging studies have attempted to reveal the pathological substrate for motor symptoms. Genetic and transcriptomic studies have contributed to our understanding of the underlying molecular pathogenic mechanisms and provided a basis for classifying PD. Moreover, an understanding of the heterogeneity of clinical manifestations in PD is required for a personalized medicine approach. Herein, we discuss the possible subtypes of PD based on clinical features, neuroimaging, and biomarkers for developing personalized medicine for PD. In addition, we conduct a preliminary clustering using gait features for subtyping PD. We believe that subtyping may facilitate the development of therapeutic strategies for PD.

Background Parkinson’s disease (PD) leads to impaired mobility and limited independence. Objective We investigated the effects of acupuncture on gait disturbance and analyzed hemodynamic changes caused by acupuncture in the cerebral cortex of patients with PD. Methods Participants (n = 26) with gait disturbance due to PD were randomly assigned to the intervention (acupuncture twice a week for 4 weeks + conventional therapy) or control (conventional therapy) groups. We analyzed gait parameters using the GAITRite system and hemodynamic responses in the cerebral cortices using functional near-infrared spectroscopy, Unified Parkinson’s Disease Rating Scale (UPDRS) scores, neurotransmitter levels, as well as the immediate effects of acupuncture in patients with PD. Results The participants tended to walk with hypometric gait (high cadence, short steps) overground. After acupuncture treatment, those in the intervention group showed a significant reduction in cadence and the UPDRS scores involving “walking and balance” compared with those in the control group ( P = .004 and P = .020, respectively); the stride, swing, and single support times were significantly increased ( P = .006, P = .001, and P = .001, respectively). Oxyhemoglobin levels in the intervention group while walking on a treadmill were significantly increased in the prefrontal and supplementary motor areas. The oxyhemoglobin levels in the prefrontal cortex and swing time revealed significant positive correlations. Conclusions Our findings indicated that acupuncture tended to improve hypometric gait and rearranged activation of the cerebral cortex. Thus, acupuncture may be a useful complementary treatment for gait disturbance, including hypometric gait, in patients with PD. Trial Registration Number. Clinical Research Information Service (KCT0002603), https://cris.nih.go.kr/cris/index.jsp

The purpose of this study is to investigate cerebral cortex activation during active movement and passive movement by using a functional near-infrared spectroscopy (fNIRS). Tasks were the flexion/extension of the right hand finger by active movement and passive movement. Oxy-hemoglobin concentration changes calculated from fNIRS and analyzed the activation and connectivity so as to understand dynamical brain relationship. The results demonstrated that the brain activation in passive movements is similar to motor execution. During active movement, the estimated causality patterns showed significant causality value from the supplementary motor area (SMA) to the primary motor cortex (M1). During the passive movement, the causality from the primary somatosensory cortex (S1) to the primary motor cortex (M1) was stronger than active movement. These results demonstrated that active and passive movements had a direct effect on the cerebral cortex but the stimulus pathway of active and passive movement is different. This study may contribute to better understanding how active and passive movements can be expressed into cortical activation by means of fNIRS.

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The different pathways between the position of a near-infrared camera and the user’s eye limit the use of existing near-infrared fluorescence imaging systems for tumor margin assessments. By utilizing an optical system that precisely matches the near-infrared fluorescence image and the optical path of visible light, we developed an augmented reality (AR)-based fluorescence imaging system that provides users with a fluorescence image that matches the real-field, without requiring any additional algorithms. Commercial smart glasses, dichroic beam splitters, mirrors, and custom near-infrared cameras were employed to develop the proposed system, and each mount was designed and utilized. After its performance was assessed in the laboratory, preclinical experiments involving tumor detection and lung lobectomy in mice and rabbits by using indocyanine green (ICG) were conducted. The results showed that the proposed system provided a stable image of fluorescence that matched the actual site. In addition, preclinical experiments confirmed that the proposed system could be used to detect tumors using ICG and evaluate lung lobectomies. The AR-based intraoperative smart goggle system could detect fluorescence images for tumor margin assessments in animal models, without disrupting the surgical workflow in an operating room. Additionally, it was confirmed that, even when the system itself was distorted when worn, the fluorescence image consistently matched the actual site.