Michele Porcu1, Paolo Garofalo2, Davide Craboledda3, Jasjit S Suri4, Harman S Suri5, Roberto Montisci3, Roberto Sanfilippo3, Luca Saba2. 1. Department of Medical Imaging, AOU of Cagliari, University of Cagliari, S.S: 554, km 4,500, 09042, Monserrato (Cagliari), Italy. micheleporcu87@gmail.com. 2. Department of Medical Imaging, AOU of Cagliari, University of Cagliari, S.S: 554, km 4,500, 09042, Monserrato (Cagliari), Italy. 3. Department of Vascular Surgery, AOU of Cagliari, University of Cagliari, S.S: 554, km 4,500, 09042, Monserrato (Cagliari), Italy. 4. Diagnostic and Monitoring Division, AtheroPoint, Roseville, CA, USA. 5. Brown University, Providence, RI, USA.
Abstract
PURPOSE: It is under debate how white matter hyperintensities (WMH) affects the brain connectivity. The objective of this research study is to validate the hypothesis, if and how the WMH influences brain connectivity in a population with carotid artery stenosis (CAS), which are eligible for carotid endarterectomy (CEA). We used resting state functional connectivity (rs-fc) magnetic resonance (MR) to validate our hypothesis, focusing on the effects of the total number of WMH (TNWMH) and of the WMH Burden (WMHB). METHODS: Twenty-three patients (sixteen males and seven females, mean age 74.34 years) with mono or bilateral carotid stenosis eligible for carotid endarterectomy (CEA), underwent an MR examination on a 1.5-T scanner. The protocol included a morphologic T1-3D isotropic, an EPI functional sequence for rs-fc MR analysis, and a 3D isotropic FLAIR sequence. For each patient, the TNWMH and the WMHB were obtained using two online tools-volBrain and lesionBrain. The rs-fc region-of-interest to region-of-interest (ROI-to-ROI) analysis was performed with the CONN toolbox v18a: two different multiple regression analyses including both WMHB and TNWMH as second-level covariates evaluated the individual effects of WMHB (Analysis A) and TNWMH (Analysis B), adopting a p value corrected for false discovery rate (p-FDR) < 0.05 to identify statistically significant values. RESULTS: Both analyses A and B identified several statistically significant positive and negative correlations associated with WMHB and TNWMH. CONCLUSION: WMH influence functional connectivity in patients with carotid artery stenosis eligible for CEA; further, WMHB and TNWMH influence differently functional connectivity.
PURPOSE: It is under debate how white matter hyperintensities (WMH) affects the brain connectivity. The objective of this research study is to validate the hypothesis, if and how the WMH influences brain connectivity in a population with carotid artery stenosis (CAS), which are eligible for carotid endarterectomy (CEA). We used resting state functional connectivity (rs-fc) magnetic resonance (MR) to validate our hypothesis, focusing on the effects of the total number of WMH (TNWMH) and of the WMH Burden (WMHB). METHODS: Twenty-three patients (sixteen males and seven females, mean age 74.34 years) with mono or bilateral carotid stenosis eligible for carotid endarterectomy (CEA), underwent an MR examination on a 1.5-T scanner. The protocol included a morphologic T1-3D isotropic, an EPI functional sequence for rs-fc MR analysis, and a 3D isotropic FLAIR sequence. For each patient, the TNWMH and the WMHB were obtained using two online tools-volBrain and lesionBrain. The rs-fc region-of-interest to region-of-interest (ROI-to-ROI) analysis was performed with the CONN toolbox v18a: two different multiple regression analyses including both WMHB and TNWMH as second-level covariates evaluated the individual effects of WMHB (Analysis A) and TNWMH (Analysis B), adopting a p value corrected for false discovery rate (p-FDR) < 0.05 to identify statistically significant values. RESULTS: Both analyses A and B identified several statistically significant positive and negative correlations associated with WMHB and TNWMH. CONCLUSION: WMH influence functional connectivity in patients with carotid artery stenosis eligible for CEA; further, WMHB and TNWMH influence differently functional connectivity.
Entities:
Keywords:
Carotid endarterectomy; Graph theory; White matter hyperintensities; rs-fcMR
Authors: N Tzourio-Mazoyer; B Landeau; D Papathanassiou; F Crivello; O Etard; N Delcroix; B Mazoyer; M Joliot Journal: Neuroimage Date: 2002-01 Impact factor: 6.556
Authors: Victor Aboyans; Jean-Baptiste Ricco; Marie-Louise E L Bartelink; Martin Björck; Marianne Brodmann; Tina Cohnert; Jean-Philippe Collet; Martin Czerny; Marco De Carlo; Sebastian Debus; Christine Espinola-Klein; Thomas Kahan; Serge Kownator; Lucia Mazzolai; A Ross Naylor; Marco Roffi; Joachim Röther; Muriel Sprynger; Michal Tendera; Gunnar Tepe; Maarit Venermo; Charalambos Vlachopoulos; Ileana Desormais Journal: Eur Heart J Date: 2018-03-01 Impact factor: 29.983
Authors: Joanna M Wardlaw; Eric E Smith; Geert J Biessels; Charlotte Cordonnier; Franz Fazekas; Richard Frayne; Richard I Lindley; John T O'Brien; Frederik Barkhof; Oscar R Benavente; Sandra E Black; Carol Brayne; Monique Breteler; Hugues Chabriat; Charles Decarli; Frank-Erik de Leeuw; Fergus Doubal; Marco Duering; Nick C Fox; Steven Greenberg; Vladimir Hachinski; Ingo Kilimann; Vincent Mok; Robert van Oostenbrugge; Leonardo Pantoni; Oliver Speck; Blossom C M Stephan; Stefan Teipel; Anand Viswanathan; David Werring; Christopher Chen; Colin Smith; Mark van Buchem; Bo Norrving; Philip B Gorelick; Martin Dichgans Journal: Lancet Neurol Date: 2013-08 Impact factor: 44.182
Authors: Takumi Toya; Jaskanwal D Sara; Eugene L Scharf; Ali Ahmad; Valentina Nardi; Ilke Ozcan; Lilach O Lerman; Amir Lerman Journal: J Am Heart Assoc Date: 2021-10-08 Impact factor: 5.501
Authors: Betty Chinda; Kim H Tran; Sam Doesburg; William Siu; George Medvedev; S Simon Liang; Angela Brooks-Wilson; Xiaowei Song Journal: Brain Behav Date: 2022-03-01 Impact factor: 3.405
Authors: Michele Porcu; Luigi Cocco; Riccardo Cau; Jasjit S Suri; Lorenzo Mannelli; Qi Yang; Giovanni Defazio; Max Wintermark; Luca Saba Journal: Neuroradiology Date: 2021-09-25 Impact factor: 2.804