徐正嫻 潘偉婷 于燦燦 周星辰 石嬌 王敏 陳尚杰
基金項(xiàng)目:國(guó)家自然科學(xué)基金面上項(xiàng)目(81973922);深圳市寶安區(qū)衛(wèi)生健康局區(qū)醫(yī)學(xué)重點(diǎn)學(xué)科(2022-2025)專(zhuān)項(xiàng)
作者單位:233000? ?蚌埠,蚌埠醫(yī)學(xué)院研究生院(徐正嫻,于燦燦,周星辰,陳尚杰);518000? ?深圳,深圳大學(xué)第二附屬醫(yī)院康復(fù)科(潘偉婷,石嬌,陳尚杰);233000? ?蚌埠,蚌埠醫(yī)學(xué)院第一附屬醫(yī)院康復(fù)科(王敏)
通信作者:陳尚杰,E-mail: csjmesz@sina.com
【摘要】目的 為探討前額葉在人體控尿功能中發(fā)揮的作用提供神經(jīng)影像學(xué)依據(jù)。方法 利用近紅外腦功能成像技術(shù)(fNIRS)收集20名健康成年女性志愿者膀胱充盈和空虛狀態(tài)下盆底肌收縮時(shí)大腦前額皮層的血流動(dòng)力學(xué)數(shù)據(jù),并對(duì)數(shù)據(jù)進(jìn)行相應(yīng)的處理,通過(guò)分析各個(gè)通道所提取的氧合血紅蛋白濃度的相對(duì)變化量所對(duì)應(yīng)的Beta值,對(duì)比前額葉不同腦區(qū)間激活情況差異。結(jié)果 膀胱充盈狀態(tài)下前額皮層共有30個(gè)通道激活,膀胱空虛狀態(tài)下前額皮層共有8個(gè)通道激活(P均< 0.05),其中共同激活通道有7個(gè);相較于空虛狀態(tài),膀胱充盈時(shí)的前額葉激活更明顯,且以右側(cè)腦區(qū)激活為主,差異主要體現(xiàn)在右側(cè)背外側(cè)前額葉和額極(P均< 0.05)。結(jié)論 盆底肌收縮運(yùn)動(dòng)可以使大腦前額皮層被激活。當(dāng)膀胱處于充盈狀態(tài)時(shí)大腦前額皮層可能會(huì)通過(guò)神經(jīng)反射活動(dòng)感知膀胱的壓力變化,從而參與調(diào)控盆底肌的自主舒縮運(yùn)動(dòng),實(shí)現(xiàn)其在人體控尿功能中的作用,其中右側(cè)背外側(cè)前額葉腦區(qū)在此過(guò)程中發(fā)揮的作用可能更為明顯。
【關(guān)鍵詞】近紅外腦功能成像技術(shù);前額葉;盆底肌收縮;膀胱狀態(tài);女性
fNIRS-based study of prefrontal cortex activation during pelvic floor muscle contraction in women under different bladder states Xu Zhengxian△, Pan Weiting, Yu Cancan, Zhou Xingchen, Shi Jiao, Wang Min, Chen Shangjie.△Graduate School, Bengbu Medical College, Bengbu 233000, China
Corresponding author: Chen Shangjie, E-mail: csjmesz@sina.com
【Abstract】Objective To provide a neuroimaging basis for exploring the role of the prefrontal cortex in human urinary control function. Methods Hemodynamic data from the prefrontal cortex of the brain during the task of pelvic floor muscle contraction from 20 healthy female volunteers were collected using functional near-infrared spectroscopy (fNIRS) under two different states of bladder filling and emptying, and these data were processed accordingly to compare the differences in the activation state among different brain compartments of the prefrontal cortex by analyzing the Beta values corresponding to the relative amount of changes in the concentration of oxyhemoglobin extracted from each individual channel. Results A total of 30 channels were activated during bladder filling, whereas 8 channels were activated during bladder emptying (all P < 0.05), including 7 co-activated channels. The prefrontal cortex activation was more significant during bladder filling than bladder emptying, and the activation was predominantly in the right prefrontal cortex, with the differences mainly in the right dorsolateral prefrontal cortex and frontopolar cortex (all P < 0.05). Conclusions The prefrontal cortex can be activated by pelvic floor muscle contraction. Under the state of bladder filling, the prefrontal cortex may perceive the pressure change of the bladder through neural reflex activity and thus participate in the regulation of the voluntary pelvic floor muscle contraction, plays a role in human urinary control function. The right dorsolateral prefrontal cortex region possibly plays a more significant role in this process.
【Key words】Functional near-infrared spectroscopy; Prefrontal cortex; Pelvic floor muscle contraction; Bladder state;
Female
人腦高級(jí)中樞能夠通過(guò)完整的反射弧接受來(lái)自膀胱壁上的壓力感受器信號(hào),并對(duì)其做出反饋參與調(diào)控人體的排尿和儲(chǔ)尿行為?,F(xiàn)有理論認(rèn)為膀胱自然充盈到400~500 mL時(shí),膀胱壁的壓力感受器會(huì)產(chǎn)生興奮,通過(guò)傳入神經(jīng)至相應(yīng)的脊髓節(jié)段再到腦干的中腦導(dǎo)管周?chē)屹|(zhì)區(qū)(PAG),上傳至大腦皮層進(jìn)行信息整合,對(duì)是否排尿做出判斷[1]。此過(guò)程中的任一流程出現(xiàn)問(wèn)題均會(huì)導(dǎo)致人體的排尿功能出現(xiàn)障礙。研究表明,70%~84%的脊髓損傷患者伴有神經(jīng)源性下尿路功能障礙[2],其中高達(dá)90%的女性患者在其生活中會(huì)經(jīng)歷一定程度的控尿功能障礙,尤其是尿失禁[3]。
前額葉皮質(zhì)(PFC)是額葉較為靠前的腦區(qū),同時(shí)占據(jù)額葉較大區(qū)域,在抽象思維、決策制定、預(yù)測(cè)行為以及心理情感表達(dá)等方面發(fā)揮重要作用,涉及大腦的諸多高級(jí)功能[4-5]?,F(xiàn)有研究顯示,PFC是對(duì)膀胱活動(dòng)信息進(jìn)行分析并對(duì)排尿動(dòng)作進(jìn)行判斷的重要腦區(qū)[6]。還有研究顯示,當(dāng)膀胱產(chǎn)生強(qiáng)烈的急迫感時(shí),PAG可能會(huì)受PFC反饋指令啟動(dòng)“備份機(jī)制”激活大腦運(yùn)動(dòng)皮層,然后收縮盆底肌緩解排尿沖動(dòng)[7]。但是,目前關(guān)于大腦皮層在下尿路神經(jīng)控制方面的研究相對(duì)較少,因此,PFC在腦-膀胱生理反射過(guò)程中的具體調(diào)節(jié)通路尚不明確[8]。
近紅外腦功能成像(fNIRS)是利用650~
950 nm的近紅外光可穿透生物組織的特性適時(shí)記錄腦血流量的腦影像技術(shù)。該技術(shù)比腦電圖的空間分辨率更高、操作簡(jiǎn)單、方便快捷,也比MRI的花費(fèi)成本低,而且輕巧便利、可隨時(shí)移動(dòng)。因此,該技術(shù)目前已被廣泛應(yīng)用于腦卒中后的運(yùn)動(dòng)康復(fù)、心理障礙、認(rèn)知障礙等諸多神經(jīng)病變的研究和診斷[9-10]。故本研究應(yīng)用該新興技術(shù)為前額葉不同腦區(qū)在控尿功能中發(fā)揮的作用提供神經(jīng)影像學(xué)方面的依據(jù),為進(jìn)一步優(yōu)化常見(jiàn)控尿功能障礙的療法提供參考。
對(duì)象與方法
一、研究對(duì)象
本研究組于2023年1月至4月在深圳市公開(kāi)隨機(jī)招募健康成年女性志愿者作為研究對(duì)象。考慮到本研究為探索性觀察性研究,參考以往fNIRS相關(guān)研究樣本量設(shè)置以及數(shù)據(jù)分析所需標(biāo)準(zhǔn),共納入20名志愿者,其年齡為(30.4±2.4)歲,BMI為(20.4±1.2)kg/m2,其中14人產(chǎn)次< 2次,6人產(chǎn)次≥2次。納入標(biāo)準(zhǔn):①右利手;②年齡18~40歲;③認(rèn)知功能正常,能配合完成研究;④無(wú)盆底神經(jīng)肌肉組織、臟器損傷和功能障礙;⑤無(wú)中樞神經(jīng)系統(tǒng)和其他器官病變。排除標(biāo)準(zhǔn):①存在顱腦損傷或進(jìn)行過(guò)顱腦手術(shù);②存在脊髓損傷或進(jìn)行過(guò)脊髓手術(shù);③存在腹部創(chuàng)傷或進(jìn)行過(guò)腹部手術(shù);④伴有惡性腫瘤或嚴(yán)重的系統(tǒng)性疾?。虎荽嬖诰駟?wèn)題;⑥近期服用過(guò)可使人興奮的食物及藥物;⑦有長(zhǎng)期飲酒熬夜等不良習(xí)慣;⑧試驗(yàn)前1 h進(jìn)行了劇烈運(yùn)動(dòng)。本研究通過(guò)深圳大學(xué)第二附屬醫(yī)院的倫理審查(批件號(hào):BYL20220506),并在中國(guó)臨床試驗(yàn)注冊(cè)中心注冊(cè)(注冊(cè)號(hào):ChiCTR2200067055),研究對(duì)象均自愿參與本研究并簽署知情同意書(shū)。
二、研究方法
1. 任務(wù)模式
本實(shí)驗(yàn)采用區(qū)塊設(shè)計(jì)方法:任務(wù)期以最大力量收縮盆底肌之后保持盆底肌的收縮狀態(tài)5 s、再放松5 s,耗時(shí)10 s,總共收縮3次,時(shí)間為30 s,然后休息20 s,任務(wù)期加上休息時(shí)間為50 s。此過(guò)程重復(fù)進(jìn)行5次,時(shí)間為250 s。在任務(wù)測(cè)試前有20 s的靜息數(shù)據(jù)采集,整個(gè)流程耗時(shí)270 s。
2. fNIRS數(shù)據(jù)收集
本研究?jī)x器為武漢資聯(lián)虹康公司的依瑞德近紅外腦功能成像系統(tǒng)(BS-3000),其波長(zhǎng)為690 nm和830 nm,采樣頻率為20 Hz。配套的光纖帽有12個(gè)發(fā)射光極、12個(gè)接收光極和37個(gè)通道,根據(jù)布魯?shù)侣X部分區(qū)將光纖帽通道所覆蓋的前額葉分為4個(gè)腦區(qū),分別是腹外側(cè)前額葉(VLPFC)、背外側(cè)前額葉(DLPFC)、額極(FPC)和眶額區(qū)(OFC),見(jiàn)圖1。在進(jìn)行實(shí)驗(yàn)之前,確保每位受試者學(xué)會(huì)正確的盆底肌收縮運(yùn)動(dòng)。在進(jìn)行fNIRS檢測(cè)前,需要排空膀胱,且在15 min內(nèi)口服1 000 mL的飲用水等待膀胱充盈,直至第1次產(chǎn)生膀胱充盈感或有想排空膀胱的感覺(jué)[11],通過(guò)經(jīng)腹超聲檢查明確膀胱處于充盈狀態(tài)。受試者取坐位,充分放松四肢和軀干,避免說(shuō)話、搖頭等額外動(dòng)作,戴好 fNIRS 光纖帽,矯正帽子上的光極,使其與頭皮充分接觸。制作同步的270 s視頻以減少聲音干擾,受試者可根據(jù)視頻提示(收縮、休息)做出相應(yīng)動(dòng)作,其間保持平靜呼吸。膀胱充盈時(shí)的近紅外數(shù)據(jù)收集完成之后囑研究對(duì)象排空膀胱,休息3 min
后以同樣流程收集膀胱空虛時(shí)的近紅外數(shù)據(jù)。
3. fNIRS數(shù)據(jù)處理
利用Matlab軟件運(yùn)行Homer2工具箱對(duì)37個(gè)通道的原始數(shù)據(jù)進(jìn)行預(yù)處理[12]:①將原始光強(qiáng)轉(zhuǎn)為光密度數(shù)據(jù);②運(yùn)動(dòng)偽影識(shí)別,減少身體微動(dòng)產(chǎn)生的干擾因素;③用條樣插值法去除運(yùn)動(dòng)偽影[13],對(duì)數(shù)據(jù)進(jìn)行修補(bǔ);④用0.01~0.10 Hz帶通濾波去除外界和自身因素的干擾信號(hào);⑤根據(jù)修正版朗伯比爾定律(Lambert-Beer law),將光密度數(shù)據(jù)轉(zhuǎn)換為信噪比較高的氧合血紅蛋白(Oxy-Hb)濃度變化值[14];⑥疊加平均每個(gè)區(qū)塊的血流動(dòng)力學(xué)數(shù)據(jù)。再通過(guò)NIRS-KIT工具箱對(duì)數(shù)據(jù)進(jìn)行分析:對(duì)Oxy-Hb變化值建立一般線性模型(GLM)估算盆底肌收縮任務(wù)下每個(gè)通道所對(duì)應(yīng)的參數(shù)Beta值[15],作為此次研究的主要觀察指標(biāo)。然后利用NIRS-KIT工具箱的組水平分析板塊分別對(duì)膀胱充盈狀態(tài)和膀胱空虛狀態(tài)下的2組Beta值數(shù)據(jù)進(jìn)行統(tǒng)計(jì)學(xué)分析,其中組內(nèi)數(shù)據(jù)比較采用單樣本t檢驗(yàn),以P < 0.05為激活通道;2組間數(shù)據(jù)比較采用配對(duì)樣本t檢驗(yàn),以P < 0.05為差異通道。
三、統(tǒng)計(jì)學(xué)處理
利用Excel表格統(tǒng)計(jì)前額葉左右腦區(qū)和前額葉左右不同分區(qū)所對(duì)應(yīng)各個(gè)通道Beta值,然后利用SPSS 23.0軟件進(jìn)行統(tǒng)計(jì)學(xué)分析。其中符合正態(tài)分布的計(jì)量資料采用配對(duì)樣本t檢驗(yàn),以表示;非正態(tài)分布計(jì)量資料采用Wilcoxon符號(hào)秩和檢驗(yàn),以M(P25,P75)表示。P < 0.05為差異有統(tǒng)計(jì)學(xué)意義。
結(jié)果
一、膀胱充盈與空虛狀態(tài)下大腦前額皮層腦區(qū)的激活情況
膀胱充盈狀態(tài)下對(duì)各通道提取的Beta值進(jìn)行單樣本t檢驗(yàn)并作圖,結(jié)果顯示:相較于靜息期,在進(jìn)行盆底肌收縮任務(wù)時(shí),前額皮層明顯激活,總共有30個(gè)通道的Beta值P < 0.05,且4個(gè)腦區(qū)均有不同程度的激活,分別為背外側(cè)前額葉(通道4/7/9/10/11/12/16/19/20/21/26/28/32/34)、額極(通道13/15/17/18/22/23/25/27)、腹外側(cè)前額葉(通道1/2/3/6/35/37)以及眶額區(qū)(通道14/24),見(jiàn)圖2A。
以同樣的方法,對(duì)膀胱空虛狀態(tài)下的各通道的Beta值進(jìn)行統(tǒng)計(jì)分析,結(jié)果顯示:前額皮層也有部分腦區(qū)被激活,有8個(gè)通道的Beta值P < 0.05,分別為背外側(cè)前額葉(通道10/11/28)、額極(通道15/23/27)以及腹外側(cè)前額葉(通道2/30),見(jiàn)圖2B。
2種膀胱狀態(tài)下共同激活的通道共7個(gè),分別是背外側(cè)前額葉(通道10/11/28)、額極(通道15/23/27)和腹外側(cè)前額葉(通道2)。
二、膀胱充盈與空虛狀態(tài)下大腦前額皮層腦區(qū)激活情況對(duì)比
1. 膀胱充盈與空虛狀態(tài)下大腦前額皮層激活通道的差異
對(duì)膀胱充盈與空虛狀態(tài)下前額皮層各通道Beta值進(jìn)行配對(duì)樣本t檢驗(yàn),4個(gè)通道的差異均具有統(tǒng)計(jì)學(xué)意義(P均< 0.05),見(jiàn)表1。
2. 膀胱充盈與空虛狀態(tài)下大腦前額皮層不同腦區(qū)激活的差異
對(duì)膀胱充盈與空虛狀態(tài)下前額葉左右腦區(qū)的激活情況進(jìn)行對(duì)比:膀胱充盈下的右側(cè)腦區(qū)激活更明顯(P < 0.05),見(jiàn)表2。對(duì)前額葉左右不同腦區(qū)進(jìn)行對(duì)比:膀胱充盈與空虛狀態(tài)下的右側(cè)背外側(cè)前額葉和額極激活存在差異(P均< 0.05),見(jiàn)表3。其中眶額區(qū)被覆通道較少,無(wú)法進(jìn)行詳細(xì)的比較分析。
討論
既往腦功能成像方法以功能磁共振(fMRI)、正電子發(fā)射算機(jī)斷層顯像(PET)和腦電圖為主。fNIRS通過(guò)光學(xué)原理檢測(cè)血氧濃度,與PET相比對(duì)人體更為安全;fMRI和腦電圖更偏向于監(jiān)測(cè)靜息狀態(tài)下的大腦活動(dòng)[16],fNIRS剛好彌補(bǔ)了兩者的短板,不僅能夠?qū)θX進(jìn)行監(jiān)測(cè),還可以將大腦皮層分為不同的興趣區(qū)記錄局部腦區(qū)活動(dòng),為探究特定腦區(qū)位置和人體功能活動(dòng)之間的對(duì)應(yīng)關(guān)系提供了便利[17]。目前,fNIRS因其抗干擾、便捷等優(yōu)勢(shì)已被廣泛應(yīng)用于臨床上難以操控的肌肉活動(dòng)和磁電干預(yù)下的腦功能評(píng)定。
本研究應(yīng)用fNIRS技術(shù)記錄膀胱充盈和空虛狀態(tài)下盆底肌收縮時(shí)前額皮層的血氧動(dòng)態(tài)數(shù)據(jù)。結(jié)果顯示,2種膀胱狀態(tài)下執(zhí)行盆底肌收縮任務(wù)時(shí)前額皮層均有不同程度的激活,而充盈狀態(tài)前額皮層激活更為顯著。有學(xué)者發(fā)現(xiàn)額葉病變的患者會(huì)出現(xiàn)尿急、尿失禁等臨床癥狀,當(dāng)額葉內(nèi)腫瘤蔓延至前額皮層會(huì)影響排尿中心、產(chǎn)生下尿路癥狀[18],腦功能成像研究顯示前額皮層、島葉以及扣帶皮層與人體自主控尿功能密切相關(guān)[19-20]。
本研究通過(guò)膀胱充盈時(shí)自主收縮盆底肌來(lái)模擬特殊情況下不宜排尿時(shí)抑制排尿的行為,并與膀胱空虛時(shí)單純的盆底肌收縮進(jìn)行對(duì)比,發(fā)現(xiàn)膀胱充盈時(shí)右側(cè)前額皮層顯著激活。排尿在很大程度上由右腦控制[1],臨床研究顯示右側(cè)額葉出血與尿失禁相關(guān),隨著右側(cè)前額皮層出血灶的吸收,患者癥狀逐漸好轉(zhuǎn)[21]。本研究結(jié)果與現(xiàn)有研究結(jié)論相一致,由此推測(cè)右側(cè)前額皮層在控尿過(guò)程中發(fā)揮的作用可能更為突出。通過(guò)進(jìn)一步的分析發(fā)現(xiàn)右側(cè)DLPFC和FPC在2種膀胱狀態(tài)下的激活情況存在差異。前額皮層中負(fù)責(zé)執(zhí)行功能的大腦區(qū)域主要是雙側(cè)的背外側(cè)前額葉,其主要功能包括接收來(lái)自不同感官模式的輸入、保持注意力、監(jiān)控并執(zhí)行工作任務(wù)中的信息以及協(xié)調(diào)目標(biāo)導(dǎo)向等行為[22-23]。此外,背外側(cè)前額葉還參與任務(wù)設(shè)置和監(jiān)測(cè)[24],同時(shí)與運(yùn)動(dòng)系統(tǒng)緊密聯(lián)系,參與動(dòng)作的選擇和執(zhí)行[25]。最新提出的膀胱控制工作模型提示膀胱充盈擴(kuò)張的感覺(jué)通過(guò)丘腦后可激活外側(cè)前額皮層,減少對(duì)中腦導(dǎo)水管周?chē)屹|(zhì)PAG的輸出,從而抑制排尿反射[26]。人在感到排空沖動(dòng)時(shí)會(huì)有意識(shí)地收縮盆底肌,從而抑制逼尿肌收縮,形成一種保護(hù)反射[27]。既往研究表明,健康女性在接受膀胱擴(kuò)張的內(nèi)臟刺激時(shí)可激活背外側(cè)前額葉[28],當(dāng)大腦對(duì)空虛的欲望越強(qiáng),雙側(cè)背外側(cè)前額葉的激活就越強(qiáng),提示背外側(cè)前額葉可能與內(nèi)部感受刺激的監(jiān)測(cè)和膀胱狀態(tài)的感知有關(guān)[29]。額極位于前額皮層較為靠前的位置,是靈長(zhǎng)類(lèi)動(dòng)物獨(dú)有的細(xì)胞結(jié)構(gòu)區(qū)域,與其相關(guān)的神經(jīng)成像研究大部分探討的是認(rèn)知功能[30],包括工作記憶、任務(wù)規(guī)劃和行為探索等功能[31]。雖然目前沒(méi)有直接證據(jù)表明額極與人體正??啬蚬δ艽嬖诼?lián)系,但是有研究顯示額極在前額皮層中存在廣泛的功能連接并與外側(cè)前額皮層聯(lián)系密切[32]。此外,額極與扣帶皮層以及前運(yùn)動(dòng)皮層也存在緊密聯(lián)系[33]。
腦-膀胱神經(jīng)傳導(dǎo)通路研究仍然存在挑戰(zhàn),目前的研究設(shè)計(jì)和參數(shù)設(shè)置的不統(tǒng)一造成了結(jié)果偏差[34-35]。本研究旨在觀察女性受試者在不同膀胱狀態(tài)下的自主盆底肌收縮運(yùn)動(dòng)前額皮層的激活特征,結(jié)果可能會(huì)受個(gè)體差異的影響,例如盆底肌肌力的不同造成盆底肌激活模式差異、受試者對(duì)自身盆底肌協(xié)調(diào)性的把握以及對(duì)膀胱充盈刺激的敏感度等。以后將在本研究的基礎(chǔ)上繼續(xù)優(yōu)化方案,增加樣本量檢測(cè)整個(gè)額葉,著重分析背外側(cè)前額葉與其他腦區(qū)的功能連接情況,完善實(shí)驗(yàn)結(jié)果。
綜上所述,fNIRS技術(shù)未來(lái)可以被應(yīng)用于人體控尿中樞的影像學(xué)研究。背外側(cè)前額葉是前額皮層的重要部分,其對(duì)膀胱充盈刺激的感受和控尿方面的作用不容忽視。對(duì)于大腦如何系統(tǒng)感知膀胱的壓力變化并進(jìn)行信息整合,如何通過(guò)調(diào)節(jié)盆底肌的自主舒縮運(yùn)動(dòng)發(fā)揮其在控尿過(guò)程中的作用等方面仍有待深入研究。
參 考 文 獻(xiàn)
[1] Lee C L, Lee J, Park J M, et al. Sophisticated regulation of micturition: review of basic neurourology[J]. J Exerc Rehabil, 2021, 17(5): 295-307.
[2] Fan Y H, Shen Y C, Hsu C C, et al. Current surgical treatment for neurogenic lower urinary tract dysfunction in patients with chronic spinal cord injury[J]. J Clin Med, 2023, 12(4): 1400.
[3] Shi Z, Tran K, Karmonik C, et al. High spatial correlation in brain connectivity between micturition and resting states within bladder-related networks using 7 T MRI in multiple sclerosis women with voiding dysfunction [J]. World J Urol, 2021, 39(9): 3525-3531.
[4] Ouerchefani R, Ouerchefani N, Ben Rejeb M R, et al. Pragmatic language comprehension: role of theory of mind, executive functions, and the prefrontal cortex[J]. Neuropsychologia, 2024, 194: 108756.
[5] 周素妙, 黃興兵. 氧化應(yīng)激參與抑郁癥認(rèn)知功能障礙機(jī)制的研究進(jìn)展[J]. 新醫(yī)學(xué), 2019, 50(12): 877-880.
Zhou S M, Huang X B. Research progress on the mechanism of oxidative stress involved in cognitive dysfunction of depression patients[J]. J New Med, 2019, 50(12): 877-880.
[6] Tish M M, Geerling J C. The brain and the bladder: forebrain control of urinary (In)continence[J]. Front Physiol, 2020, 11: 658.
[7] Karnup S. Spinal interneurons of the lower urinary tract circuits[J]. Auton Neurosci, 2021, 235: 102861.
[8] Pang D, Gao Y, Liao L. Functional brain imaging and central control of the bladder in health and disease[J]. Front Physiol, 2022, 13: 914963.
[9] 近紅外腦功能成像臨床應(yīng)用專(zhuān)家共識(shí)編寫(xiě)組. 近紅外腦功能成像臨床應(yīng)用專(zhuān)家共識(shí)[J]. 中國(guó)老年保健醫(yī)學(xué), 2021, 19(2): 3-9.
Expert consensus on clinical application of near-infrared brain functionol imaging technology writing group. Expert consensus on clinical application of near-infrared brain functional imaging technology[J]. Chin J Geriatr Care, 2021, 19(2): 3-9.
[10] Chen W L, Wagner J, Heugel N, et al. Functional near-infrared spectroscopy and its clinical application in the field of neuroscience: advances and future directions[J]. Front Neurosci, 2020, 14: 724.
[11] Medina Lucena H, Tincello D G. Methods of assessing and recording bladder sensation: a review of the literature[J]. Int Urogynecol J, 2019, 30(1): 3-8.
[12] Lee Y J, Park S Y, Sung L Y, et al. Reduced left ventrolateral prefrontal cortex activation during verbal fluency tasks is associated with suicidal ideation severity in medication-na?ve young adults with major depressive disorder: a functional near-infrared spectroscopy study[J]. Psychiatry Res Neuroimaging, 2021, 312: 111288.
[13] Scholkmann F, Spichtig S, Muehlemann T, et al. How to detect and reduce movement artifacts in near-infrared imaging using moving standard deviation and spline interpolation[J]. Physiol Meas, 2010, 31(5): 649-662.
[14] von Lühmann A, Li X, Müller K R, et al. Improved physiological noise regression in fNIRS: a multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis[J]. NeuroImage, 2020, 208: 116472.
[15] von Lühmann A, Ortega-Martinez A, Boas D A, et al. Using the general linear model to improve performance in fNIRS single trial analysis and classification: a perspective[J]. Front Hum Neurosci, 2020, 14: 30.
[16] Li C L, Deng Y J, He Y H, et al. The development of brain functional connectivity networks revealed by resting-state functional magnetic resonance imaging[J]. Neural Regen Res, 2019, 14(8): 1419-1429.
[17] 曹朝霞, 張彥峰, 韓雅迪, 等. 功能性近紅外光譜成像技術(shù)在腦功能成像中的應(yīng)用研究進(jìn)展[J]. 甘肅中醫(yī)藥大學(xué)學(xué)報(bào), 2018, 35(3): 99-103.
Cao Z X, Zhang Y F, Han Y D, et al. Application of functional near-infrared spectroscopy in cerebral function imaging[J]. J Gansu Univ Chin Med, 2018, 35(3): 99-103.
[18] Akhavan-Sigari R, Mortzavi-Zadeh P, Trakolis L, et al. The connection between frontal lobe brain tumors and lower urinary tract symptoms-series of 347 patients[J]. Eur Rev Med Pharmacol Sci, 2021, 25(2): 654-660.
[19] Harvie C, Weissbart S J, Kadam-Halani P, et al. Brain activation during the voiding phase of micturition in healthy adults: a meta-analysis of neuroimaging studies[J]. Clin Anat, 2019, 32(1): 13-19.
[20] Zhao L, Liao L, Gao Y. Brain functional connectivity during storage based on resting state functional magnetic resonance imaging with synchronous urodynamic testing in healthy volunteers[J]. Brain Imaging Behav, 2021, 15(3): 1676-1684.
[21] Akhavan-Sigari R, Trakolis L, Amend B, et al. Connection between traumatic frontal intracerebral hemorrhage and lower urinary tract symptoms[J]. Eur Rev Med Pharmacol Sci, 2021, 25(7): 2994-3001.
[22] Molnár Z, Clowry G J, ?estan N, et al. New insights into the development of the human cerebral cortex[J]. J Anat, 2019, 235(3): 432-451.
[23] Tung C, Lord S R, Pelicioni P H S, et al. Prefrontal and motor planning cortical activity during stepping tasks is related to task complexity but not concern about falling in older people: a fNIRS study[J]. Brain Sci, 2023, 13(12): 1675.
[24] Henri-Bhargava A, Stuss D T, Freedman M. Clinical assessment of prefrontal lobe functions[J]. Continuum, 2018, 24(3, BEHAVIORAL NEUROLOGY AND PSYCHIATRY): 704-726.
[25] Thura D, Cabana J F, Feghaly A, et al. Integrated neural dynamics of sensorimotor decisions and actions[J]. PLoS Biol, 2022, 20(12): e3001861.
[26] Zare A, Jahanshahi A, Rahnamai M S, et al. The role of the periaqueductal gray matter in lower urinary tract function[J]. Mol Neurobiol, 2019, 56(2): 920-934.
[27] Lee B A, Kim S J, Choi D K, et al. Effects of pelvic floor muscle exercise on urinary incontinence in elderly women with cognitive impairment[J]. Int Neurourol J, 2017, 21(4): 295-301.
[28] Alfano V, Cavaliere C, Di Cecca A, et al. Sex differences in functional brain networks involved in interoception: an fMRI study[J]. Front Neurosci, 2023, 17: 1130025.
[29] Li X, Fang R, Liao L, et al. Real-time changes in brain activity during tibial nerve stimulation for overactive bladder: evidence from functional near-infrared spectroscopy hype scanning[J]. Front Neurosci, 2023, 17: 1115433.
[30] Ainsworth M, Wu Z, Browncross H, et al. Frontopolar cortex shapes brain network structure across prefrontal and posterior cingulate cortex[J]. Prog Neurobiol, 2022, 217: 102314.
[31] Hogeveen J, Medalla M, Ainsworth M, et al. What does the frontopolar cortex contribute to goal-directed cognition and action?[J]. J Neurosci, 2022, 42(45): 8508-8513.
[32] Law C K, Kolling N, Chan C C H, et al. Frontopolar cortex represents complex features and decision value during choice between environments[J]. Cell Rep, 2023, 42(6): 112555.
[33] Domic-Siede M, Irani M, Valdés J, et al. Theta activity from frontopolar cortex, mid-cingulate cortex and anterior cingulate cortex shows different roles in cognitive planning performance[J]. NeuroImage, 2021, 226: 117557.
[34] Ghatas M P, Burkett L S, Grob G, et al. A stepwise approach for functional near infrared spectroscopy measurement during natural bladder filling[J]. Transl Androl Urol, 2023, 12(10): 1477-1486.
[35] Walter M, Leitner L, Michels L, et al. Reliability of supraspinal correlates to lower urinary tract stimulation in healthy participants-A fMRI study[J]. Neuroimage, 2019, 191: 481-492.
(收稿日期:2023-07-24)
(責(zé)任編輯:洪悅民)