Xijin Wang1, Mingrui Xia2, Yunyao Lai3, Zhengjia Dai2, Qingjiu Cao1, Zhang Cheng1, Xue Han1, Lei Yang1, Yanbo Yuan1, Yong Zhang4, Keqing Li4, Hong Ma1, Chuan Shi1, Nan Hong3, Philip Szeszko5, Xin Yu6, Yong He7. 1. Ministry of Health Key Laboratory of Mental Health, Institute of Mental Health, Peking University, Beijing 100191, China. 2. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China. 3. Department of Radiology, Peking University People's Hospital, Peking University, Beijing 100044, China. 4. The Sixth People's Hospital of Hebei Province, Baoding, Hebei Province 071000, China. 5. The Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhassett, NY 11030, USA. 6. Ministry of Health Key Laboratory of Mental Health, Institute of Mental Health, Peking University, Beijing 100191, China. Electronic address: yuxin@bjmu.edu.cn. 7. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China. Electronic address: yong.he@bnu.edu.cn.
Abstract
OBJECTIVE: The pathophysiology of chronic schizophrenia may reflect long term brain changes related to the disorder. The effect of chronicity on intrinsic functional connectivity patterns in schizophrenia without the potentially confounding effect of antipsychotic medications, however, remains largely unknown. METHOD: We collected resting-state fMRI data in 21 minimally treated chronic schizophrenia patients and 20 healthy controls. We computed regional functional connectivity strength for each voxel in the brain, and further divided regional functional connectivity strength into short-range regional functional connectivity strength and long-range regional functional connectivity strength. General linear models were used to detect between-group differences in these regional functional connectivity strength metrics and to further systematically investigate the relationship between these differences and clinical/behavioral variables in the patients. RESULTS: Compared to healthy controls, the minimally treated chronic schizophrenia patients showed an overall reduced regional functional connectivity strength especially in bilateral sensorimotor cortex, right lateral prefrontal cortex, left insula and right lingual gyrus, and these regional functional connectivity strength decreases mainly resulted from disruption of short-range regional functional connectivity strength. The minimally treated chronic schizophrenia patients also showed reduced long-range regional functional connectivity strength in the bilateral posterior cingulate cortex/precuneus, and increased long-range regional functional connectivity strength in the right lateral prefrontal cortex and lingual gyrus. Notably, disrupted short-range regional functional connectivity strength mainly correlated with duration of illness and negative symptoms, whereas disrupted long-range regional functional connectivity strength correlated with neurocognitive performance. All of the results were corrected using Monte-Carlo simulation. CONCLUSIONS: This exploratory study demonstrates a disruption of intrinsic functional connectivity without long-term exposure to antipsychotic medications in chronic schizophrenia. Furthermore, this disruption was connection-distance dependent, thus raising the possibility for differential neural pathways in neurocognitive impairment and psychiatric symptoms in schizophrenia.
OBJECTIVE: The pathophysiology of chronic schizophrenia may reflect long term brain changes related to the disorder. The effect of chronicity on intrinsic functional connectivity patterns in schizophrenia without the potentially confounding effect of antipsychotic medications, however, remains largely unknown. METHOD: We collected resting-state fMRI data in 21 minimally treated chronic schizophreniapatients and 20 healthy controls. We computed regional functional connectivity strength for each voxel in the brain, and further divided regional functional connectivity strength into short-range regional functional connectivity strength and long-range regional functional connectivity strength. General linear models were used to detect between-group differences in these regional functional connectivity strength metrics and to further systematically investigate the relationship between these differences and clinical/behavioral variables in the patients. RESULTS: Compared to healthy controls, the minimally treated chronic schizophreniapatients showed an overall reduced regional functional connectivity strength especially in bilateral sensorimotor cortex, right lateral prefrontal cortex, left insula and right lingual gyrus, and these regional functional connectivity strength decreases mainly resulted from disruption of short-range regional functional connectivity strength. The minimally treated chronic schizophreniapatients also showed reduced long-range regional functional connectivity strength in the bilateral posterior cingulate cortex/precuneus, and increased long-range regional functional connectivity strength in the right lateral prefrontal cortex and lingual gyrus. Notably, disrupted short-range regional functional connectivity strength mainly correlated with duration of illness and negative symptoms, whereas disrupted long-range regional functional connectivity strength correlated with neurocognitive performance. All of the results were corrected using Monte-Carlo simulation. CONCLUSIONS: This exploratory study demonstrates a disruption of intrinsic functional connectivity without long-term exposure to antipsychotic medications in chronic schizophrenia. Furthermore, this disruption was connection-distance dependent, thus raising the possibility for differential neural pathways in neurocognitive impairment and psychiatric symptoms in schizophrenia.
Authors: Miklos Argyelan; Juan A Gallego; Delbert G Robinson; Toshikazu Ikuta; Deepak Sarpal; Majnu John; Peter B Kingsley; John Kane; Anil K Malhotra; Philip R Szeszko Journal: Neuropsychopharmacology Date: 2015-01-08 Impact factor: 7.853
Authors: Margaret M Cunniff; Eirene Markenscoff-Papadimitriou; Julia Ostrowski; John Lr Rubenstein; Vikaas Singh Sohal Journal: Elife Date: 2020-11-06 Impact factor: 8.140