前臂截肢者残肢运动时的脑源特征：基于标准化低分辨率脑电磁断层扫描成像技术

doi:10.3969/j.issn.1006-9771.2022.08.013

Abstract

Abstract:

Objective To observe electroencephalography (EEG) characteristics during movement of residual limbs in forearm amputees using standard low resolution brain electromagnetic tomography (sLORETA) technology.

Methods From June to September, 2019, nine right forearm amputees (amputee group) and 15 normal healthy subjects (control group) were selected. EEG signals were recorded as finishing a straight arm flexion and extension movement task of the left and right upper limbs, and the β rhythm (13 to 30 Hz) of EEG during motor execution was analyzed with sLORETA.

Results The distribution of brain activation was almost the same as the movement of ipsilateral limbs in the control group when the intact limb of amputees moved (|t| < 2.023, P> 0.05). During the stumps moving, activated voxels was the most in BA7, followed by BA6 and BA10 in the frontal lobe, while the number of activated voxels in the BA18 and BA19 of the occipital lobe was significantly higher than those in the normal group (|t| > 2.782, P < 0.05); while the normalized current density of activation was lower than that in the control group, locating in the BA8, BA9, BA10, BA11, BA45, BA46 and BA47 of the frontal cortex, and in the BA7, BA13, BA21 and BA22 of the parietal cortex (|t| > 2.012, P < 0.05), however, it was stronger in the BA17 and BA19 of occipital cortex (|t| > 2.199, P < 0.05).

Conclusion The brain activation of the amputee is similar to the healthy subjects when they moving the intact limb. However, during the movement of the stump, the activated brain regions are moving toward the posterior occipital.

Key words: forearm amputation, movement of residual limbs, electroencephalography, standard low resolution brain electromagnetic tomography

CLC Number:

R687.5

GUO Feng,HAO Ying,CHEN Yu. Brain sources characteristics during movement of residual limbs in forearm amputees based on standard low resolution brain electromagnetic tomography technology[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2022, 28(8): 972-980.

Figures/Tables 7

脑叶	脑回	BA	残肢运动		健肢运动		t值^a	P值^a	t值^b	P值^b
脑叶	脑回	BA	健全组	截肢组	健全组	截肢组	t值^a	P值^a	t值^b	P值^b
额叶	中央前回	BA4	3.06±2.46	2.54±1.70	1.80±1.24	1.82±0.87	0.557	0.583	-0.042	0.967
额叶	额上回、额中回	BA6	1.45±0.72	1.77±1.07	1.89±0.62	1.44±0.55	-0.869	0.394	2.096	0.056
额叶	额上回、额中回	BA8	1.98±0.45	1.41±0.41	1.91±0.86	1.84±0.74	2.884	0.009	0.203	0.841
额叶	额上回、额中回	BA9	2.16±1.35	0.96±0.48	1.41±0.79	2.38±1.02	2.552	0.018	-2.612	0.016
额叶	额上回、额中回	BA10	10.25±5.38	1.75±0.83	4.60±2.31	10.03±5.47	4.666	< 0.001	-3.408	0.003
额叶	额上回、额中回、额下回	BA11	8.62±5.50	1.61±0.97	4.04±2.58	8.85±6.02	3.756	0.001	-2.861	0.009
额叶	额中回、额下回	BA45、46、47	4.78±2.88	1.38±0.82	2.01±1.01	2.98±1.21	4.278	< 0.001	-2.016	0.056
顶叶	中央后回	BA1、2、3	1.45±0.97	1.59±1.06	1.53±0.96	1.73±0.81	-0.331	0.744	-0.444	0.661
顶叶	中央旁小叶	BA5	4.21±1.87	3.80±1.46	3.46±1.39	3.42±1.46	0.561	0.580	0.067	0.947
顶叶	顶上小叶、中央后回	BA7	5.99±1.71	4.32±1.04	4.49±2.09	4.43±2.09	2.638	0.015	0.068	0.946
顶叶	顶下小叶	BA40	2.31±0.80	1.51±0.50	1.23±0.61	1.89±0.62	2.688	0.013	-2.551	0.018
颞叶	颞中回、颞下回	BA21	4.57±2.41	2.03±1.14	2.11±0.98	3.25±0.63	2.951	0.007	-3.111	0.005
颞叶	颞上回	BA22	2.91±1.73	1.54±0.52	1.57±0.78	2.56±0.79	2.296	0.032	-2.996	0.007
边缘叶	岛叶	BA13	1.47±1.20	0.65±0.22	0.87±0.55	1.11±0.43	2.012	0.050	-2.013	0.052
边缘叶	扣带回前部	BA24	0.71±0.39	0.75±0.35	0.70±0.30	0.82±0.36	-0.252	0.803	-0.881	0.388
边缘叶	扣带回后部	BA31	1.20±0.39	1.20±0.37	0.73±0.32	1.12±0.26	0.061	0.951	-3.088	0.005
枕叶	楔叶、舌回	BA17	1.31±0.40	1.79±0.31	1.17±0.33	1.31±0.42	-3.078	0.005	-0.905	0.375
枕叶	楔叶、楔前叶、枕上回	BA18	1.50±0.71	1.88±0.63	1.26±0.60	1.34±0.62	-1.321	0.200	-0.312	0.758
枕叶	楔叶、枕中回、梭状回	BA19	2.03±1.01	2.97±1.02	1.62±0.87	1.76±0.85	-2.199	0.039	-0.385	0.704
枕叶	扣带回前部	BA32	2.27±1.63	0.63±0.45	1.17±0.66	2.24±1.93	2.928	0.008	-2.104	0.042

References 29

[1]	ZIEGLER-GRAHAM K, MACKENZIE E J, EPHRAIM P L, et al. Estimating the prevalence of limb loss in the United States: 2005 to 2050[J]. Arch Phys Med Rehabil, 2008, 89(3): 422-429. doi: 10.1016/j.apmr.2007.11.005
[2]	CUSACK W F, COPE M, NATHANSON S, et al. Neural activation differences in amputees during imitation of intact versus amputee movements[J]. Front Hum Neurosci, 2012, 6: 182.
[3]	AZIZ-ZADEH L, SHENG T, LIEW S L, et al. Understanding otherness: the neural bases of action comprehension and pain empathy in a congenital amputee[J]. Cereb Cortex, 2012, 22(4): 811-819. doi: 10.1093/cercor/bhr139
[4]	BLANK A, OKAMURA A M, KUCHENBECKER K J. Identifying the role of proprioception in upper-limb prosthesis control: studies on targeted motion[J]. ACM Trans Applied Perc, 2010, 7(3): 1-19.
[5]	MAKIN T R, FLOR H. Brain (re)organisation following amputation: implications for phantom limb pain[J]. Neuroimage, 2020, 218: 116943-116952. doi: 10.1016/j.neuroimage.2020.116943
[6]	蒋光耀. 截肢后脑可塑性的磁共振成像研究[D]. 重庆: 第三军医大学,2016.
	JIANG G Y. MRI study on brain plasticity after limb amputation[D]. Chongqing: Third Military Medical University, 2016.
[7]	吕元媛. 上肢截肢患者脑重塑的神经影像学研究[D]. 上海: 上海交通大学, 2019.
	LÜ Y Y. Neuroimaging studies on brain reorganization in upper-limb amputees[D]. Shanghai: Shanghai Jiao Tong University, 2019.
[8]	GUO F, ZHANG T, HANSON N J, et al. Brain source imaging based on movement-related cortical potentials induced by fatigue during self-paced handgrip contractions[J]. Neuroreport, 2020, 31(4): 300-304. doi: 10.1097/WNR.0000000000001395
[9]	SADAT-NEJAD Y, BEHESHTI S. Higher resolution sLORETA (HR-sLORETA) in EEG source imaging[J]. Ann Int Conf IEEE Eng Med Biol Soc, 2019, 2019: 1690-1693.
[10]	FERNANDEZ-CORAZZA M, FENG R, MA C, et al. Source localization of epileptic spikes using Multiple Sparse Priors[J]. Clin Neurophysiol, 2021, 132(2): 586-597. doi: 10.1016/j.clinph.2020.10.030
[11]	KUO C C, TUCKER D M, LUU P, et al. EEG source imaging of epileptic activity at seizure onset[J]. Epilepsy Res, 2018, 146: 160-171. doi: 10.1016/j.eplepsyres.2018.07.006
[12]	郝莹, 郭峰. 上肢截肢者大脑运动皮质区神经可塑性的研究进展[J]. 中国康复理论与实践, 2019, 25(7): 801-804.
	HAO Y, GUO F. Advance in neural plasticity of cerebral motor cortex for upper-limb amputee[J]. Chin J Rehabil Theory Pract, 2019, 25(7): 801-804.
[13]	郭峰. 指屈肌次最大随意等长收缩诱发疲劳过程中中枢神经电生理学机制研究[D]. 长春: 吉林大学, 2014.
	GUO F. The mechanisms on central electroneurophysiology during fatigue induced by submaximal voluntary contractions of flexor digitorum muscle[D]. Changchun: Jilin University, 2014.
[14]	MAZZIOTTA J, TOGA A, EVANS A, et al. A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM)[J]. Philos Trans R Soc Lond B Biol Sci, 2001, 356(1412): 1293-1322. doi: 10.1098/rstb.2001.0915
[15]	吕墨竹, 郭峰. 基于 sLORETA 脑成像技术探究太极拳运动对中老年人安静状态下脑波影响的研究[J]. 沈阳体育学院学报, 2019, 38(2): 130-139.
	LÜ M Z, GUO F. Effects of Tai Chi on resting state brainwave of middle-aged and elderly people based on sLORETA[J]. J Shenyang Sport Univ, 2019, 38(2): 130-139.
[16]	NAKATA H, DOMOTO R, MIZUGUCHI N, et al. Negative BOLD responses during hand and foot movements: an fMRI study[J]. PLoS One, 2019, 14: e0215736.
[17]	ANDERSSON P, RAGNI F, LINGNAU A. Visual imagery during real-time fMRI neurofeedback from occipital and superior parietal cortex[J]. Neuroimage, 2019, 200: 332-343. doi: 10.1016/j.neuroimage.2019.06.057
[18]	BAI S, LIU W, GUAN Y. The Visuospatial and sensorimotor functions of posterior parietal cortex in drawing tasks: a review[J]. Front Aging Neurosci, 2021, 13: 717002. doi: 10.3389/fnagi.2021.717002
[19]	ORBAN G A, SEPE A, BONINI L. Parietal maps of visual signals for bodily action planning[J]. Brain Struct Funct, 2021, 226(9): 2967-2988. doi: 10.1007/s00429-021-02378-6
[20]	BAO B, WEI H, LUO P, et al. Parietal lobe reorganization and widespread functional connectivity integration in upper-limb amputees: a rs-fMRI study[J]. Front Neurosci, 2021, 15: 704079-704089. doi: 10.3389/fnins.2021.704079
[21]	CUSACK W F, THACH S, PATTERSON R, et al. Enhanced neurobehavioral outcomes of action observation prosthesis training[J]. Neurorehabil Neural Repair, 2016, 30: 573-582. doi: 10.1177/1545968315606992
[22]	BRUURMIJN L C M, RAEMAEKERS M, BRANCO M P, et al. Decoding attempted phantom hand movements from ipsilateral sensorimotor areas after amputation[J]. J Neural Eng, 2021, 18(5): 121-126.
[23]	BRAMATI I E, RODRIGUES E C, SIMÕES E L, et al. Lower limb amputees undergo long-distance plasticity in sensorimotor functional connectivity[J]. Sci Rep, 2019, 9(1): 2518-2528. doi: 10.1038/s41598-019-39696-z
[24]	BUCCINO G, LUI F, CANESSA N, et al. Neural circuits involved in the recognition of actions performed by nonconspecifics: an fMRI study[J]. Cogn Neurosci, 2004, 16: 114-126. doi: 10.1162/089892904322755601
[25]	VAN OVERWALLE F, BAETENS K. Understanding others' actions and goals by mirror and mentalizing systems: a meta-analysis[J]. Neuroimage, 2009, 48: 564-584. doi: 10.1016/j.neuroimage.2009.06.009
[26]	李坤, 褚蕾蕾, 朱世东, 等. 基于mu节律能量的运动意识分类研究[J]. 计算机技术与发展, 2006, 16(8): 157-159.
	LI K, CHU L L, ZHU S D, et al. Study of classification of motor imageries based on energy of mu rhythm of EEG[J]. Comp Technol Devel, 2006, 16(8): 157-159.
[27]	METZGER A J, DROMERICK A W, SCHABOWSKY C N, et al. Feed forward control strategies of subjects with transradial amputation in planar reaching[J]. Rehabil Res Dev, 2010, 47(3): 201-211.
[28]	MIZELLE J C, OPARAH A, WHEATON L A. Reliability of visual and somatosensory feedback in skilled movement: the role of the cerebellum[J]. Brain Topogr, 2016, 29(1): 27-41. doi: 10.1007/s10548-015-0446-2
[29]	BEAUCHAMP M S, LEE K E, HAXBY J V, et al. Parallel visual motion processing streams for manipulable objects and human movements[J]. Neuron, 2002, 34(1): 149-159. doi: 10.1016/S0896-6273(02)00642-6

组别	n	年龄/岁	身高/m	体质量/kg	残疾年限/年
健全组	15	22.6±2.7	1.78±0.1	71.2±8.5
截肢组	9	24.7±8.6	1.73±0.1	64.2±16.4	13.4±5.4
t值		0.887	-1.186	-1.385
P值		0.495	0.229	0.260

脑叶	脑回	BA	残肢运动		健肢运动		t值^a	P值^a	t值^b	P值^b
脑叶	脑回	BA	健全组	截肢组	健全组	截肢组	t值^a	P值^a	t值^b	P值^b
额叶	中央前回	BA4	36±10	41±12	44±15	44±11	-1.101	0.283	0.001	0.999
额叶	额上回、额内侧回	BA6	118±26	160±44	156±38	153±33	-2.958	0.007	0.196	0.846
额叶	额上回、额中回	BA8	63±12	49±12	66±10	48±12	2.767	0.011	3.964	< 0.001
额叶	额上回、额中回	BA9	90±12	26±7	59±20	68±29	14.509	< 0.001	-0.902	0.377
额叶	额上回、额中回	BA10	178±36	74±14	134±32	143±38	8.240	< 0.001	-0.622	0.540
额叶	额上回、额中回、额下回	BA11	143±37	57±12	94±45	132±46	6.712	< 0.001	-1.987	0.060
额叶	额中回、额下回	BA45、46、47	161±53	63±15	95±34	150±45	5.376	< 0.001	-3.462	0.002
顶叶	中央后回	BA1、2、3	43±11	54±13	61±16	64±15	-2.217	0.037	-0.455	0.654
顶叶	中央旁小叶	BA5	63±16	60±15	68±17	58±12	0.455	0.654	1.670	0.074
顶叶	顶上小叶、中央后回	BA7	348±59	308±72	332±87	265±61	1.482	0.153	2.023	0.055
顶叶	顶下小叶	BA40	99±13	87±19	87±29	106±25	1.842	0.079	-1.632	0.117
颞叶	颞中回、颞下回	BA21	149±39	89±18	97±36	145±36	4.319	< 0.001	-3.162	0.005
颞叶	颞上回	BA22	83±13	47±23	45±9	91±27	4.390	< 0.001	-6.132	< 0.001
边缘叶	岛叶	BA13	41±10	10±2	19±12	30±18	9.133	< 0.001	-1.992	0.082
边缘叶	扣带回后部	BA31	25±7	36±7	17±8	16±6	3.292	0.002	0.323	0.750
枕叶	楔叶、舌回	BA17	10±2	18±5	9±3	11±2	-5.562	< 0.001	-1.770	0.091
枕叶	楔叶、楔前叶、枕上叶	BA18	73±19	102±24	59±14	53±16	-3.282	0.003	0.964	0.345
枕叶	楔叶、枕中回、梭状回	BA19	137±41	185±43	112±22	101±18	-2.782	0.012	1.264	0.219
枕叶	扣带回前部	BA32	31±7	4±1	12±4	36±10	11.401	< 0.001	-8.433	< 0.001

Brain sources characteristics during movement of residual limbs in forearm amputees based on standard low resolution brain electromagnetic tomography technology

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 29

Related Articles 8

Metrics

Comments

Recommended 0

[1]	CHEN Yu, GUO Feng, GUO Jianrui, DONG Tongtong, XIA Xuelian. Activation characteristics of motor cortex during mirror visual feedback based on electroencephalography [J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2023, 29(8): 967-976.
[2]	LIU Shaowen,WEI Conghui,SHAN Xinying,ZHANG Yan. Brain functional connectivity in lower limb amputees [J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2022, 28(1): 90-94.
[3]	DU Yu-peng,LI Xiao-dong,LIU Wen-bing,LIU Xue-yun. Intensities of Transcranial Direct Current Stimulation for Dysphagia after Cerebral Infarction [J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2020, 26(5): 583-587.
[4]	AN Wen-jun, LI Jin-hua, WANG He-ping. Advance in Electroencephalographic and Imaging Studies in Depression Children and Adolescents (review) [J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2019, 25(3): 314-318.
[5]	WEI Ze, XU Min-peng, MING Dong, MU Si-yu. Effects of Transcranial Alternating Current Stimulation on Serial Reaction Time Task [J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2019, 25(11): 1327-1331.
[6]	YAN Yun, LI Qing-ping, DONG Wen-bin, JIA Wen, GUO Lin, ZHAI Xue-song, KANG Lan. Effect of Mild Hypothermia Therapy on Neonatal Bilirubin Encephalopathy: Evaluated with ¹⁸F-fluorodeoxyglucose Positron Emission Tomography/CT and Amplitude Integrated Electroencephalogram [J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2017, 23(6): 690-695.
[7]	HU Meng;LIU Xin-you;FU Xiao-hui;et al.. Application of Benadrly in Test of Drug-induced Electroencephalography of Epilepsy [J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2010, 16(6): 587-588.
[8]	WANG Lei;HE Yi;ZHENG Hu;et al. Effects of Hyperbaric Oxygen Combined with Fastigial Nucleus Stimulation on Chronic Cerebral Circulation Insufficiency with Transcranial Doppler and Electroencephalography [J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2009, 15(12): 1130-1132.