Resting‐state functional connectivity correlates of cognitive function in Mild Cognitive Impairment on functional Near Infrared Spectroscopy

IF 13 1区 医学 Q1 CLINICAL NEUROLOGY
Subhashini K Rangarajan, Sonika Nichenametla, Vanteemar S Sreeraj, Vijaykumar Harbishettar, Preeti Sinha, Palanimuthu Thangaraju Sivakumar, Ganesan Venkatasubramanian
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Abstract

BackgroundMild cognitive impairment(MCI) is characterized by an impairment in one or more cognitive domains greater than expected for a person’s age and educational background with preserved functional independence. Functional Near Infra‐Red Spectroscopy (fNIRS) is a modality of non‐invasive neuroimaging that utilizes the optical properties of oxygenated and deoxygenated hemoglobin in the tissue to measure their absolute or relative concentrations following neuronal activity. fNIRS has been used to evaluate neurohemodynamics in MCI. Lower tissue oxygenation in bilateral frontal and parietal regions was found at resting state, which correlated with cognitive functioning in MCI. The objective of this study was to evaluate the correlation between cognitive functioning and resting state functional connectivity on fNIRS in MCI.MethodsThe study was conducted at the Geriatric Clinic and Services, Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India (Institutional Ethics Committee approval no.: NIMHANS/34th IEC (BEH.SC.DIV.)/2022) on consenting participants with MCI (N = 38). Detailed cognitive assessment was performed using a validated comprehensive computerised cognitive battery. fNIRS data acquisition was done using the NIRScout device, NIRx medical technologies LLC, CA, USA, operating on continuous wave domain, with two wavelengths of 760nm and 850 nm. 8 sources and 8 detectors were placed in a bilateral prefrontal montage placement resulting in 18 channels (9 on each side). Nodal metrics such as clustering coefficient, degree centrality, shortest path length, local efficiency and a Global metric‐ small worldness was evaluated. Correlation coefficients were computed for the nodal and global metrics with cognitive domains such as reaction time, complex attention, memory, language functioning and perceptuomotor functioning.ResultsMean age of participants was 66.18 ± 6.18 years. The mean duration of illness was 2.63 ± 2.5 years. The results of the resting state nodal and global metrics and their correlation with cognitive functioning will be presented during the conference.ConclusionfNIRS is reported to have a temporal resolution that is comparable to fMRI, at the same time being less expensive, portable and having less interference because of motion artifacts. Findings from this study will provide insights on the functional connectivity correlates of cognitive functioning in MCI.
在功能性近红外光谱上观察轻度认知障碍患者的静息状态功能连通性
轻度认知障碍(MCI)的特征是一个人在一个或多个认知领域的损害大于预期的年龄和教育背景,保持功能独立性。功能性近红外光谱(fNIRS)是一种非侵入性神经成像技术,它利用组织中含氧和脱氧血红蛋白的光学特性来测量神经元活动后它们的绝对或相对浓度。fNIRS已被用于评估轻度认知损伤的神经血流动力学。静息状态下双侧额顶区组织氧合降低,与轻度认知损伤的认知功能相关。本研究的目的是评估认知功能与静息状态fNIRS功能连通性之间的相关性。方法本研究在印度班加罗尔国家精神卫生与神经科学研究所(NIMHANS)精神科老年临床与服务部进行(机构伦理委员会批准号:NIMHANS/34 IEC (behh . sc . div .)/2022)关于同意MCI的参与者(N = 38)。使用经过验证的综合计算机化认知电池进行详细的认知评估。fNIRS数据采集采用美国NIRx medical technologies LLC公司的NIRScout设备,工作在连续波域,波长为760nm和850 nm。8个源和8个检测器被放置在双侧前额叶蒙太奇位置,产生18个通道(每侧9个)。节点指标如聚类系数、度中心性、最短路径长度、局部效率和全局度量-小世界度进行了评估。计算反应时间、复杂注意力、记忆、语言功能和感知运动功能等认知领域的节点和整体指标的相关系数。结果患者平均年龄66.18±6.18岁。平均病程为2.63±2.5年。静息状态节点和全局度量的结果及其与认知功能的相关性将在会议期间公布。结论fnirs具有与fMRI相当的时间分辨率,同时更便宜,便携,并且由于运动伪影而产生的干扰更少。本研究的结果将为MCI认知功能的功能连接相关提供见解。
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来源期刊
Alzheimer's & Dementia
Alzheimer's & Dementia 医学-临床神经学
CiteScore
14.50
自引率
5.00%
发文量
299
审稿时长
3 months
期刊介绍: Alzheimer's & Dementia is a peer-reviewed journal that aims to bridge knowledge gaps in dementia research by covering the entire spectrum, from basic science to clinical trials to social and behavioral investigations. It provides a platform for rapid communication of new findings and ideas, optimal translation of research into practical applications, increasing knowledge across diverse disciplines for early detection, diagnosis, and intervention, and identifying promising new research directions. In July 2008, Alzheimer's & Dementia was accepted for indexing by MEDLINE, recognizing its scientific merit and contribution to Alzheimer's research.
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