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Functional brain connectivity in young adults with post-stroke epilepsy
被引:1
|作者:
Boot, Esther M.
[1
]
Omes, Quinty P. M.
[1
]
Maaijwee, Noortje
[2
]
Schaapsmeerders, Pauline
[3
]
Arntz, Renate M.
[4
]
Rutten-Jacobs, Loes C. A.
[5
]
Kessels, Roy P. C.
[6
,7
,8
,9
]
de Leeuw, Frank-Erik
[1
]
Tuladhar, Anil M.
[1
,10
]
机构:
[1] Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Med Ctr, Dept Neurol, NL-6525GA Nijmegen, Netherlands
[2] Luzerner Kantonsspital, Dept Neurol & Neurorehabil, Neuroctr, Luzern, Switzerland
[3] Deventer Hosp, Dept Med Oncol, NL-7416 SE Deventer, Netherlands
[4] Med Spectrum Twente, Dept Neurol, NL-7500 KA Enschede, Netherlands
[5] F Hoffmann La Roche Ltd, Dept Neurosci, CH-4070 Basel, Switzerland
[6] Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Dept Psychol, NL-6525 GD Nijmegen, Netherlands
[7] Radboud Univ Nijmegen, Med Ctr, Dept Med Psychol, NL-6525 GA Nijmegen, Netherlands
[8] Radboud Univ Nijmegen, Radboudumc Alzheimer Ctr, Med Ctr, NL-6525 GA Nijmegen, Netherlands
[9] Vincent van Gogh Inst Psychiat, NL-5803 AC Venray, Netherlands
[10] Radboud Univ Nijmegen, Med Ctr, Dept Neurol, Reinier Postlaan 4,POB 9101, NL-6500 HB Nijmegen, Netherlands
关键词:
young stroke;
post-stroke epilepsy;
resting-state functional MRI;
network analysis;
DEFAULT MODE NETWORK;
COGNITIVE DECLINE;
ISCHEMIC-STROKE;
GRAPH-THEORY;
SEIZURES;
FMRI;
HUBS;
CONNECTOME;
DEFINITION;
IMPAIRMENT;
D O I:
10.1093/braincomms/fcad277
中图分类号:
R74 [神经病学与精神病学];
学科分类号:
摘要:
Approximately 1 in 10 young stroke patients (18-50 years) will develop post-stroke epilepsy, which is associated with cognitive impairment. While previous studies have shown altered brain connectivity in patients with epilepsy, little is however known about the changes in functional brain connectivity in young stroke patients with post-stroke epilepsy and their relationship with cognitive impairment. Therefore, we aimed to investigate whether young ischaemic stroke patients have altered functional networks and whether this alteration is related to cognitive impairment. We included 164 participants with a first-ever cerebral infarction at young age (18-50 years), along with 77 age- and sex-matched controls, from the Follow-Up of Transient Ischemic Attack and Stroke patients and Unelucidated Risk Factor Evaluation study. All participants underwent neuropsychological testing and resting-state functional MRI to generate functional connectivity networks. At follow-up (10.5 years after the index event), 23 participants developed post-stroke epilepsy. Graph theoretical analysis revealed functional network reorganization in participants with post-stroke epilepsy, in whom a weaker (i.e. network strength), less-integrated (i.e. global efficiency) and less-segregated (i.e. clustering coefficient and local efficiency) functional network was observed compared with the participants without post-stroke epilepsy group and the controls (P < 0.05). Regional analysis showed a trend towards decreased clustering coefficient, local efficiency and nodal efficiency in contralesional brain regions, including the caudal anterior cingulate cortex, posterior cingulate cortex, precuneus, superior frontal gyrus and insula in participants with post-stroke epilepsy compared with those without post-stroke epilepsy. Furthermore, participants with post-stroke epilepsy more often had impairment in the processing speed domain than the group without post-stroke epilepsy, in whom the network properties of the precuneus were positively associated with processing speed performance. Our findings suggest that post-stroke epilepsy is associated with functional reorganization of the brain network after stroke that is characterized by a weaker, less-integrated and less-segregated brain network in young ischaemic stroke patients compared with patients without post-stroke epilepsy. The contralesional brain regions, which are mostly considered as hub regions, might be particularly involved in the altered functional network and may contribute to cognitive impairment in post-stroke epilepsy patients. Overall, our findings provide additional evidence for a potential role of disrupted functional network as underlying pathophysiological mechanism for cognitive impairment in patients with post-stroke epilepsy.
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