Changes in white matter functional networks during wakefulness and sleep.
Changes in white matter functional networks during wakefulness and sleep.
复制标题
清醒和睡眠期间白质功能网络的变化
DOI：
10.1002/hbm.25961
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发表时间：
2022-10-01
影响因子：
4.8
通讯作者：
Zou, Qihong
中科院分区：
文献类型：
--
作者：
Yang, Yang;Wang, Shilei;Liu, Jiayi;Zou, Guangyuan;Jiang, Jun;Jiang, Binghu;Cao, Wentian;Zou, Qihong
利用从66名健康参与者在清醒和非快速眼动睡眠期间收集的同步脑电图和功能性磁共振成像数据，我们通过聚类分析构建了10个稳定的白质功能网络。这些观察结果提供了直接的生理学证据，表明白质中的神经活动受到睡眠 - 觉醒周期的调节。
Blood oxygenation level‐dependent (BOLD) signals in the white matter (WM) have been demonstrated to encode neural activities by showing structure‐specific temporal correlations during resting‐state and task‐specific imaging of fiber pathways with various degrees of correlations in strength and time delay. Previous neuroimaging studies have shown state‐dependent functional connectivity and regional amplitude of signal fluctuations in brain gray matter across wakefulness and nonrapid eye movement (NREM) sleep cycles. However, the functional characteristics of WM during sleep remain unknown. Using simultaneous electroencephalography and functional magnetic resonance imaging data during wakefulness and NREM sleep collected from 66 healthy participants, we constructed 10 stable WM functional networks using clustering analysis. Functional connectivity between these WM functional networks and regional amplitude of WM signal fluctuations across multiple low‐frequency bands were evaluated. In general, decreased WM functional connectivity between superficial and middle layer WM functional networks was observed from wakefulness to sleep. In addition, functional connectivity between the deep and cerebellar networks was higher during light sleep and lower during both wakefulness and deep sleep. The regional fluctuation amplitude was always higher during light sleep and lower during deep sleep. Importantly, slow‐wave activity during deep sleep negatively correlated with functional connectivity between WM functional networks but positively correlated with fluctuation strength in the WM. These observations provide direct physiological evidence that neural activities in the WM are modulated by the sleep–wake cycle. This study provided the initial mapping of functional changes in WM during sleep. Using simultaneous EEG‐fMRI data during wakefulness and NREM sleep collected from 66 healthy participants, we constructed 10 stable white matter functional networks using clustering analysis. These observations provide direct physiological evidence that neural activities in the white matter are modulated by the sleep–wake cycle.
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影响因子：
3.2
作者：
Ding, Ju-Rong;Ding, Xin;Thompson, Paul
通讯作者：
Thompson, Paul
影响因子：
25
作者：
Chaarani B;Hahn S;Allgaier N;Adise S;Owens MM;Juliano AC;Yuan DK;Loso H;Ivanciu A;Albaugh MD;Dumas J;Mackey S;Laurent J;Ivanova M;Hagler DJ;Cornejo MD;Hatton S;Agrawal A;Aguinaldo L;Ahonen L;Aklin W;Anokhin AP;Arroyo J;Avenevoli S;Babcock D;Bagot K;Baker FC;Banich MT;Barch DM;Bartsch H;Baskin-Sommers A;Bjork JM;Blachman-Demner D;Bloch M;Bogdan R;Bookheimer SY;Breslin F;Brown S;Calabro FJ;Calhoun V;Casey BJ;Chang L;Clark DB;Cloak C;Constable RT;Constable K;Corley R;Cottler LB;Coxe S;Dagher RK;Dale AM;Dapretto M;Delcarmen-Wiggins R;Dick AS;Do EK;Dosenbach NUF;Dowling GJ;Edwards S;Ernst TM;Fair DA;Fan CC;Feczko E;Feldstein-Ewing SW;Florsheim P;Foxe JJ;Freedman EG;Friedman NP;Friedman-Hill S;Fuemmeler BF;Galvan A;Gee DG;Giedd J;Glantz M;Glaser P;Godino J;Gonzalez M;Gonzalez R;Grant S;Gray KM;Haist F;Harms MP;Hawes S;Heath AC;Heeringa S;Heitzeg MM;Hermosillo R;Herting MM;Hettema JM;Hewitt JK;Heyser C;Hoffman E;Howlett K;Huber RS;Huestis MA;Hyde LW;Iacono WG;Infante MA;Irfanoglu O;Isaiah A;Iyengar S;Jacobus J;James R;Jean-Francois B;Jernigan T;Karcher NR;Kaufman A;Kelley B;Kit B;Ksinan A;Kuperman J;Laird AR;Larson C;LeBlanc K;Lessov-Schlagger C;Lever N;Lewis DA;Lisdahl K;Little AR;Lopez M;Luciana M;Luna B;Madden PA;Maes HH;Makowski C;Marshall AT;Mason MJ;Matochik J;McCandliss BD;McGlade E;Montoya I;Morgan G;Morris A;Mulford C;Murray P;Nagel BJ;Neale MC;Neigh G;Nencka A;Noronha A;Nixon SJ;Palmer CE;Pariyadath V;Paulus MP;Pelham WE;Pfefferbaum D;Pierpaoli C;Prescot A;Prouty D;Puttler LI;Rajapaske N;Rapuano KM;Reeves G;Renshaw PF;Riedel MC;Rojas P;de la Rosa M;Rosenberg MD;Ross MJ;Sanchez M;Schirda C;Schloesser D;Schulenberg J;Sher KJ;Sheth C;Shilling PD;Simmons WK;Sowell ER;Speer N;Spittel M;Squeglia LM;Sripada C;Steinberg J;Striley C;Sutherland MT;Tanabe J;Tapert SF;Thompson W;Tomko RL;Uban KA;Vrieze S;Wade NE;Watts R;Weiss S;Wiens BA;Williams OD;Wilbur A;Wing D;Wolff-Hughes D;Yang R;Yurgelun-Todd DA;Zucker RA;Potter A;Garavan HP;ABCD Consortium
通讯作者：
ABCD Consortium
影响因子：
15.1
作者：
Chen Y;Dang M;Zhang Z
通讯作者：
Zhang Z
影响因子：
5.7
作者：
Gawryluk, Jodie R.;Brewer, Kimberly D.;D'Arcy, Ryan C. N.
通讯作者：
D'Arcy, Ryan C. N.
影响因子：
3.7
作者：
Han, Meizhen;Yang, Guoyuan;Gao, Jia-Hong
通讯作者：
Gao, Jia-Hong