Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleNEUROIMAGING PHYSICS/FUNCTIONAL NEUROIMAGING/CT AND MRI TECHNOLOGY

Territory-Related Functional Connectivity Changes Associated with Verbal Memory Decline in Patients with Unilateral Asymptomatic Internal Carotid Stenosis

Jyun-Ru Chen, Chun-Jen Lin, Feng-Chi Chang, I-Hui Lee and Chia-Feng Lu
American Journal of Neuroradiology June 2024, DOI: https://doi.org/10.3174/ajnr.A8248
Jyun-Ru Chen
aFrom the Department of Biomedical Imaging and Radiological Sciences (J.-R.C., C.-F.L.), National Yang Ming Chiao Tung University, Taipei, Taiwan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Chun-Jen Lin
bSchool of Medicine (C.-J.L., F.-C.C., I.-H.L.), National Yang Ming Chiao Tung University, Taipei, Taiwan
cNeurological Institute (C.-J.L., I.-H.L.), Taipei Veterans General Hospital, Taipei, Taiwan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Chun-Jen Lin
Feng-Chi Chang
bSchool of Medicine (C.-J.L., F.-C.C., I.-H.L.), National Yang Ming Chiao Tung University, Taipei, Taiwan
dDepartment of Radiology (F.-C.C.), Taipei Veterans General Hospital, Taipei, Taiwan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
I-Hui Lee
bSchool of Medicine (C.-J.L., F.-C.C., I.-H.L.), National Yang Ming Chiao Tung University, Taipei, Taiwan
cNeurological Institute (C.-J.L., I.-H.L.), Taipei Veterans General Hospital, Taipei, Taiwan
eInstitute of Brain Science (I.-H.L.), National Yang Ming Chiao Tung University, Taipei, Taiwan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for I-Hui Lee
Chia-Feng Lu
aFrom the Department of Biomedical Imaging and Radiological Sciences (J.-R.C., C.-F.L.), National Yang Ming Chiao Tung University, Taipei, Taiwan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Abstract

BACKGROUND AND PURPOSE: Verbal memory decline is a common complaint of patients with severe asymptomatic stenosis of the internal carotid artery (aICS). Previous publications explored the associations between verbal memory decline and altered functional connectivity (FC) after aICS. Patients with severe aICS may show reduced perfusion in the ipsilateral territory and redistribution of cerebral blood flow to compensate for the deficient regions, including expansion of the posterior and contralateral ICA territories via the circle of Willis. However, aICS-related FC changes in anterior and posterior territories and the impact of the sides of stenosis were less explored. This study aims to investigate the altered FC in anterior and posterior circulation territories of patients with left or right unilateral aICS and its association with verbal memory decline.

MATERIALS AND METHODS: We enrolled 15 healthy controls (HCs), 22 patients with left aICS (aICSL), and 33 patients with right aICS (aICSR) to receive fMRI, Mini-Mental State Examination (MMSE), the Digit Span Test (DST), and the 12-item Chinese version of Verbal Learning Tests. We selected brain regions associated with verbal memory within anterior and posterior circulation territories. Territory-related FC alterations and verbal memory decline were identified by comparing the aICSL and aICSR groups with HC groups (P < .05, corrected for multiple comparisons), respectively. Furthermore, the association between altered FC and verbal memory decline was tested with the Pearson correlation analysis.

RESULTS: Compared with HCs, patients with aICSL or aICSR had significant impairment in delayed recall of verbal memory. Decline in delayed recall of verbal memory was significantly associated with altered FC between the right cerebellum and right middle temporal pole in the posterior circulation territory (r = 0.40, P = .03) in the aICSR group and was significantly associated with altered FC between the right superior medial frontal gyrus and left lingual gyrus in the anterior circulation territory (r = 0.56, P = .01) in the aICSL group.

CONCLUSIONS: Patients with aICSL and aICSR showed different patterns of FC alterations in both anterior and posterior circulation territories, which suggests that the side of aICS influences the compensatory mechanism for decline in delayed recall of verbal memory.

ABBREVIATIONS:

AAL
Automatic Anatomical Labeling Atlas
aICS
asymptomatic internal carotid artery stenosis
aICSL
left-side asymptomatic internal carotid artery stenosis
aICSR
right-side asymptomatic internal carotid artery stenosis
BOLD
blood oxygen level–dependent
DST
Digit Span Test
FC
functional connectivity
FDR
false discovery rate
HC
healthy control
MMSE
Mini-Mental State Examination
rs-fMRI
resting-state fMRI
SPM12
Statistical Parametric Mapping 12
VCID
vascular contributions to cognitive impairment and dementia

SUMMARY

PREVIOUS LITERATURE

Previous literatures have reported the verbal memory decline in asymptomatic internal carotid artery stenosis (aICS). However, the functional connectivity (FC) alterations and associated compensatory mechanisms induced by the brain hypoperfusion in the unilateral hemisphere were less explored. In this study, we aim to investigate the impact of two key factors, including the circulation territories (anterior and posterior circulation) and the laterality of aICS (left and right hemisphere), on the FC alterations and verbal memory decline. The difference of compensatory mechanisms between left aICS (aICSL) and right aICS (aICSR) groups was investigated.

KEY FINDINGS

Decline in delayed recall of verbal memory was significantly associated with alterations of FC within the posterior circulation territory in the aICSR group and was significantly associated with alterations of FC within the anterior circulation territory in the aICSL group.

KNOWLEDGE ADVANCEMENT

The differences in compensatory mechanisms reflecting on FC alterations between the aICSL and aICSR groups may be associated with the lateralization of verbal memory (ie, left hemisphere–dominant). We provided neuroimaging evidence suggesting the influences of the side in which aICS occurs on the decline in delayed recall of verbal memory.

Asymptomatic internal carotid artery stenosis (aICS) is defined as the presence of ICA stenosis without a history of ischemic events.1 With advances in contemporary medical management, the estimated occurrence rate of ipsilateral acute ischemic stroke in patients with aICS has dropped to 4.7% over 5 years.2 However, verbal memory decline is one of the major cognitive complications for patients with aICS.3⇓⇓⇓-7

Patients with severe aICS may show reduced perfusion in the ipsilateral territory and redistribution of cerebral blood flow to compensate for the deficient regions, including expansion of the posterior and contralateral ICA territories via the circle of Willis.8⇓-10 Previous studies have reported an association between brain perfusion and functional connectivity (FC),11 which is further correlated with verbal memory function.12 He et al13 reported an association between FC disruption in left aICS and impairment of short-term memory. However, further investigation is needed to determine the FC alterations and verbal memory impairment of patients with aICS.

Performing verbal memory tasks can activate the superior medial frontal gyrus, middle temporal pole, lingual gyrus, cerebellum VIII, and vermis VIII.14⇓-16 The superior medial frontal gyrus, which is involved in attention, is in charge of memory storage;17 the middle temporal pole and lingual gyrus, which process visual stimuli and text, are responsible for memory encoding;18,19 cerebellum VIII and vermis VIII are involved in the process of memory manipulating.20 Previous resting-state functional MR imaging (rs-fMRI) studies have proposed activation alterations in these regions after aICS.14,15 Accordingly, studying the alterations in FC among these regions may provide potential biomarkers for verbal memory decline after aICS.

Language is one of the main components of verbal memory.21 Functional brain areas in the language network are mainly in the left hemisphere,22 and the left superior temporal gyrus is one of the key areas for verbal memory.23,24 Reduced perfusion in the left or right hemisphere may therefore lead to different degrees of verbal memory decline. However, the impact of the side of aICS on verbal memory decline is still unclear. Furthermore, FC in homologous brain regions could be altered by acute hypoxia. Guo et al25 reported increased FC in the contralesional temporal gyrus and inferior frontal gyrus in patients with poststroke aphasia. However, the functional alterations due to left and right unilateral aICS have received less attention.

Considering the lateralization of brain functions, we hypothesized that stenosis in the left and right ICA may cause verbal memory decline and FC alterations with different compensatory mechanisms. This study aimed to evaluate verbal memory impairment and identify FC alterations in anterior and posterior circulation territories in patients with left or right unilateral aICS.

MATERIALS AND METHODS

Participants

We prospectively enrolled 22 patients with asymptomatic stenosis in the left ICA (aICSL), 33 patients with asymptomatic stenosis in the right ICA (aICSR), and 15 age- and sex-matched healthy controls (HCs). The inclusion criteria were as follows: 1) diagnosed with severe aICS (defined as stenosis of lumen diameter greater than 50%), 2) had T1-weighted images and functional MR images, and 3) had MR images free from old infarcts or other structural lesions. The exclusion criteria were as follows: 1) history of transient ischemic attack or ischemic stroke, 2) functional disability (modified Rankin Scale score >2), 3) clinical diagnosis of dementia according to Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, or 4) other major neurologic and psychological disorder (such as Parkinsonism, depression, generalized anxiety disorder) or malignancy. Neuropsychological tests, including the 12-item Chinese version of immediate and delayed recall of Verbal Learning Tests, were used to evaluate working verbal memory and short-term verbal memory performance, respectively.26 In the 12-item Chinese Version Verbal Learning Test, participants were asked to memorize 12 items. First, a neuropsychologist read the 12 items 4 times. The participant then had 5 recall trials 30 seconds later. The sum of item numbers recalled in each trial was indicated as immediate recall performance. Afterward, the participant was requested to recall the items once again 10 minutes later, the sum of which was used to determine the score of delayed recall. The comprehensive cognitive function of each case was assessed by using Mini-Mental State Examination (MMSE). The Digit Span Tests (DST), including forward and reverse tests, were employed to evaluate attentional capacity and working memory, especially for number sequences. This study was approved by the Institutional Review Board of the Taipei Veterans General Hospital (VGHIRB No. 2012–01-016AC; 2015–11-006C; 2020–02-017A). All the participants provided written informed consent before participating in this study.

MR Imaging Acquisition

MR imaging data, including 3D T1WI data, 3D FLAIR data, and blood oxygen level–dependent (BOLD) fMRI data, were collected by using a 3T Discovery 750 MR scanner (GE Healthcare). The 3D T1WI data were acquired by using a axial MRI 3D brain volume (BRAVO) sequence (TR/TE: 12.2/5.2 ms, flip angle: 12°, voxel size: 1 × 1 × 1 mm3, and field of view: 256 × 256 mm2). Rs-fMRI data were acquired by using the gradient-echo echo-planar imaging sequence (TR/TE: 3000/30 ms, flip angle: 90°, thickness: 3 mm, field of view: 222 × 222 mm2, and 124 repetitions). During BOLD fMRI scanning, the participants were instructed to remain relaxed and awake and keep their eyes open. The 3D FLAIR images were acquired with TR of 9000 ms, TE of 143.9 ms, flip angle of 110°, voxel size of 0.5 × 0.5 × 0.5 mm3, and field of view of 256 × 256 mm2. This study adopted the Fazekas scores to evaluate white matter hyperintensities on FLAIR images.27

Image Preprocessing

The fMRI data were processed following the standard procedure by using Statistical Parametric Mapping 12 (SPM12).28 After removing the first six time points, we performed corrections for slice timing, realignment, coregistration of T1WI to BOLD images, spatial normalization, and spatial smoothing with an 8-mm full width at half maximum Gaussian kernel and regressed out the confounding effects of motion parameters and signals from white matter and CSF. In this study, all the participants showed minor head motion during the fMRI examination and were all included in the subsequent analyses.

Analysis of FC Associated with Verbal Memory

In this study, the targeted regions, including the superior medial frontal gyrus, lingual gyrus, middle temporal pole, cerebellum VIII, and vermis VIII, were parceled based on the Automatic Anatomical Labeling atlas.29 The average BOLD signals of these targeted regions were bandpass-filtered with the frequency band of 0.01–0.1 Hz. The FC was estimated by calculating the Pearson correlation coefficients between each pair of targeted regions in the anterior and posterior circulation territories, followed by Fisher r-to-z transformation (Fig 1). The 4 × 4 FC matrix among 4 areas, including the bilateral superior medial frontal and lingual gyri, was used to measure the FC within the anterior circulation. The 5 × 5 FC matrix among 5 areas, including vermis 8, the bilateral middle temporal pole, and cerebellum VIII, was used to assess FC in areas in the posterior circulation territory (Fig 2).

FIG 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIG 1.

Flow chart for the study.

FIG 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIG 2.

The 9 brain regions were parceled based on the automated anatomical labeling atlas with 116 areas (AAL 116) and highlighted in the following analyses. The green nodes indicate brain regions in the anterior circulation territory; the wine-colored nodes indicate brain regions in the posterior circulation territory.

Furthermore, because the language network is one of the main components of verbal memory, we also calculated the 6 × 6 FC matrix among primary language regions, including Broca, Geschwind, and Wernicke areas and corresponding regions in the bilateral hemispheres.

Statistical Analyses

To investigate the altered FC within the anterior circulation territory, posterior circulation territory, and language matrices induced by stenosis in the left and right ICA, 2-sample t tests were used to compare the FC among the aICSL, aICSR, and HC groups (P < .05, with false discovery rate [FDR] correction for multiple comparisons). The statistical power was estimated for the clinical features, altered FCs, and association between the clinical features and FCs found to significantly differ after aICS.

Partial correlation analysis (P < .05) was applied to evaluate the associations between immediate and delayed recall of verbal memory and altered FC in the anterior and posterior circulation territories induced by aICSL and aICSR. To regress out the effects of age and sex, these 2 characteristics were assigned as confounding factors during the test for partial correlation between verbal memory and altered FC.

RESULTS

Demographic Characteristics and Neuropsychological Data

Age, sex, degree of stenosis, and handedness did not significantly differ among the 3 groups. The aICSL group showed significantly reduced MMSE scores compared with the HCs (P = .002 with a statistical power of 0.94) and aICSR (P = .01 with a statistical power of 0.76) groups. The aICSL group showed a significantly poor level of reverse DST scores compared with the HCs group (P = .01 with a statistical power of 0.77). In the comparison of verbal memory scores, the aICSL group presented significant deficits in immediate recall of verbal memory compared with the HC group. In addition, both the aICSL and aICSR groups showed significantly lower scores on the verbal memory delayed recall test than the HC group. No significant difference in verbal memory function between the aICSL and aICSR groups was found (Table 1). In addition, we confirmed no significant difference in distribution of Fazekas scores among HC, aICSL, and aICSR groups (Table 2).

View this table:
  • View inline
  • View popup
Table 1:

Demographic characteristics and neuropsychological scores of the study cohort

View this table:
  • View inline
  • View popup
Table 2:

The distribution of the severity of white matter hyperintensities for aICSL and aICSR groups. The total Fazekas score is the summation of scores for periventricular white matter and deep white matter

Comparisons of FC among the aICSL, aICSR, and HC Groups

In the anterior circulation territory FC matrix, significantly higher FC between right superior medial frontal gyrus and left lingual gyrus (aICSL = 0.34 ± 0.15, HC = 0.20 ± 0.15, corrected P = .05 with a statistical power of 0.78), as well as right lingual gyrus (aICSL = 0.34 ± 0.18, HC = 0.19 ± 0.15, corrected P = .04 with a statistical power of 0.79), were observed in patients with aICSL than in HCs (Figure 3A). The comparison between the aICSR and HC groups showed no significant findings. In the posterior circulation territory FC matrix, significantly higher FC between right cerebellum VIII and the right middle temporal pole (aICSR = 0.24 ± 0.17, HC = 0.11 ± 0.06, corrected P = .05 with a statistical power of 0.90) as well as the right cerebellum VIII and vermis VIII (aICSR = 0.62 ± 0.24, HC = 0.41 ± 0.19, corrected P = .04 with a statistical power of 0.86), were observed in patients with aICSR than in HCs (Figure 3B). The comparison between the aICSL and HC groups showed no significant findings. In the comparison of FC between the aICSL and aICSR groups, no significant difference was observed in either the anterior or posterior circulation territory. Regarding the language network, no significant differences in FC were identified by comparing the aICSL or aICSR group with the HC group (Table 3).

FIG 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIG 3.

The t maps from the comparisons of FC among the aICSL, aICSR, and HC groups. A, The matrices show the comparison between the aICS and HC groups in regions in the anterior territory. The boxplot presents the distribution of altered FC in the anterior circulation territory. B, The matrices show the comparison between the aICS and HC groups in regions in the posterior territory. The boxplot presents the distribution of altered FC in the posterior circulation territory. Red or blue nodes indicate that patients with stenosis in the right internal carotid artery show a significant increase or reduction in FC, respectively. Fron_Sup_Med: superior medial frontal gyrus, Tem_Mid_pole: middle temporal pole, R: right, and L: left. *P value < .05 (FDR corrected).

View this table:
  • View inline
  • View popup
Table 3:

List of primary language regions with altered FC. The first 3 columns show the distribution of FC in the HC, aICSL, and aICSR groups. The fourth and fifth columns list FDR-corrected P values of comparison between the HC and aICSL groups and between the HC and aICSR groups, respectively

Correlation between FC and Delayed Recall of Verbal Memory

We observed negative correlations between FC and delayed recall of verbal memory, indicating that stronger FC is associated with a lower level of delayed recall of verbal memory. In the anterior circulation territory, the FC between the right superior medial frontal gyrus and left lingual gyrus showed a significant negative correlation with delayed recall of verbal memory in the aICSL group (r = −0.559, P = .01 with a statistical power of 0.99). In the posterior circulation territory, the FC between the right middle temporal pole and right cerebellum VIII showed a significant negative correlation with delayed recall of verbal memory in the aICSR group (r = −0.395, P = .03 with a statistical power of 0.99) (Fig 4).

FIG 4.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIG 4.

Scatterplots showing correlations between the delayed recall of verbal memory and altered FC in the anterior and posterior vascular territories after aICSL and aICSR. The dots represent the strength of the altered FC and delayed recall of verbal memory for patients. The fitted lines are also displayed in the scatterplots. A, In the anterior circulation territory FC matrix, the FC between the right superior medial frontal gyrus and left lingual gyrus was significantly correlated with delayed recall of verbal memory after aICSL. B, In the posterior circulation territory FC matrix, the FC between the right middle temporal pole and cerebellum VIII was significantly correlated with delayed recall of verbal memory after aICSR.

DISCUSSION

In the current study, patients with either left or right aICS were observed to have lower delayed recall of verbal memory than the HC group. Although the laterality of aICS was not associated with the severity of decline in delayed recall of verbal memory, the stenosis side (in the left and right ICA) influences different FC changes in the anterior and posterior circulation territories compared with HCs. Correlation analyses indicated different functional compensations for decline in delayed recall of verbal memory after left or right unilateral aICS.

MMSE assesses comprehensive cognitive functions, including orientation, delayed recall, working memory, language, and visuoconstruction.30 DST is one of the most commonly used measures of attentional capacity, immediate verbal recall, and working memory, especially for memorization of number sequences.31 In this study, the aICSL group showed significantly reduced MMSE scores compared with HC and aICSR groups. The aICSL group also showed significantly poor levels of reverse DST compared with HC group. In general, multiple cognitive functions exhibited lateralization (left-hemisphere dominance), including language, memory, and logic processing.32 Accordingly, reduced perfusion from the left internal carotid artery may cause a significant influence on the cognitive functions assessed by the MMSE tests and reverse DST. However, the MMSE and reverse DST scores in the aICSL group showed no significant correlations with FC between selected brain regions.

The white matter hyperintensities in T2 FLAIR images indicated an increased risk of cerebrovascular events, stroke, and dementia and can be further employed to predict cognitive impairment.33 In this study, we found no significant difference in the distribution of Fazekas scores among HC, aICSL, and aICSR groups. Accordingly, the confounding effect of white matter hyperintensities on the comparisons among 3 groups is controlled in this study.

Recent evidence has shown that cerebrovascular disease is a major contributor to later-life dementia, accounting for up to 20% of cases of dementia.34 Therefore, research of vascular contributions to cognitive impairment and dementia (VCID) is growing. The proposed underlying mechanisms of VCID include cerebral autoregulatory dysfunction, endothelial impairment, and neurovascular uncoupling.35 Normal brain function depends on adequate blood flow supplied by cervico-cerebral blood vessels via competent neurovascular coupling.36 Severe stenosis of carotid arteries leads to impairment of cerebral perfusion. Cerebral autoregulation triggered by decreased cerebral blood perfusion modulates the distribution of blood flow.37,38 The altered perfusion from the ipsilateral ICA and contralateral vertebral artery compensates for cerebral perfusion in the affected regions to maintain cognitive function. A cohort study enrolling 19 patients with asymptomatic carotid stenosis and 24 heathy controls showed aICS-induced alteration of regional activation in compensatory regions, including the superior medial frontal gyrus, middle temporal pole, lingual gyrus, and cerebellum.39 The reported FC among compensatory regions in that study is considered to be related to the modulations in language, attention, visual, and memory networks.40 The superior medial frontal gyrus is involved in attention,17 while the lingual gyrus handles the processing of visual stimuli, especially letters.41 The middle temporal pole and cerebellum VIII participate in memory encoding.42 The current study showed that patients with aICS with enhanced FC among compensatory regions exhibit poor delayed recall of verbal memory, which may indicate that altered FC leads to inefficient delayed recall of verbal memory function. However, the negative correlation suggests that enhanced FC among compensatory regions indicates the severity of delayed recall of verbal memory decline following left or right aICS.

The effects of the laterality of aICS on structural and functional connections were less explored.12,39,43⇓⇓-46 We observed the aICSL and aICSR groups showed different patterns of association between verbal memory decline and altered FC in the anterior and posterior circulation territories, respectively (Fig 5). In this study, we suggest that the side of aICS may involve different compensatory mechanisms associated with the decline in delayed recall of verbal memory. In the patients with aICSL, we found that the compensation was presented by significantly increased FC related to the right superior medial frontal gyrus in the anterior circulation territory (Figure 3A). However, in patients with aICSR, we found different compensation presented by significantly increased FC related to the right cerebellum VIII in the posterior circulation territory (Figure 3B). We speculated that the differences in compensatory mechanisms between the aICSL and aICSR groups may be related the lateralization of verbal memory (ie, left-hemisphere dominance).32 While the cerebral perfusion in the left hemisphere (dominant regions of verbal memory) was reduced in the aICSL group, the primary auxiliary FC related to the contralateral superior medial frontal gyrus was increased as a response (Fig 5). He et al13 also observed the cross-hemispheric FC in the patients with unilateral left aICS. Contrarily, while the perfusion in the right hemisphere (auxiliary regions of verbal memory) was reduced in the aICSR group, the secondary auxiliary FC related to the ipsilateral cerebellum VIII was increased instead (Fig 5). Carlson et al47 reported that patients with severe perfusion reduction in the right hemisphere, such as caused by ischemic stroke, showed significant FC differences in the ipsilateral posterior circulation territory.

FIG 5.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIG 5.

Diagram summarizing the underlying compensatory mechanism (neuroplasticity) after aICSL and aICSR. A, Anterior circulation territory compensation for verbal memory recall after aICSL. B, Patients with aICSR showed posterior circulation territory compensation for recall verbal memory. The green nodes indicate brain regions in the anterior circulation territory; the wine-colored nodes represent brain regions in the posterior circulation territory. The dashed double arrows indicate altered FC after aICS. The altered connections related to verbal memory recall are presented with double arrows.

A decline in verbal memory is one of the common complaints of patients with aICS. A previous review reported no evidence that the degree of stenosis was predictive of verbal memory decline.5 To evaluate the severity of verbal memory decline in the present study, patients with aICS completed a well-developed and well-validated Chinese version of the Verbal Learning Test.48 However, the period of rs-fMRI acquisition was approximately 20 minutes, which is shorter than the duration of a Verbal Learning Test. This study employed fMRI-based FC analysis to extract quantitative image biomarkers for evaluating functional remodeling following a disease.

This study employed the pretreatment fMRI data to separately explore the association between the altered FC and decline in delayed recall of verbal memory in the aICSL and aICSR groups. We aimed to unravel the influence of the aICS side on the verbal memory decline and investigate corresponding compensatory mechanisms. However, comparing FC changes between pretreatment and posttreatment fMRI for the aICSL and aICSR groups may provide new insights into the therapeutic effect of revascularization. Most previous studies performed the investigation by pooling the aICSL and aICSR groups,49,50 which may cause a mixing effect to prevent the identification of significant FC alterations. Previous literature has reported the inconsistent recovery of FC and verbal memory after the revascularization. Wang et al49 have reported the significant decreased activation in cerebellar regions in a group of 5 patients with aICSL and 11 with aICSR after the treatment. Quandt et al50 have suggested a more significant increase in FC within the contralateral hemisphere in a group of 8 patients with aICSL and 4 with aICSR after the treatment. These inconsistent findings may indicate the influences of aICS side on recovery of FC after the revascularization. Accordingly, the therapeutic effect and recovery mechanism associated with the side of aICS after the revascularization are worthy of further investigation.

Several limitations of the current study are described as follows: First, no hippocampus-related imaging biomarkers for decline in delayed recall of verbal memory were observed (Fig 6). The hippocampal region is mainly perfused by branches of the posterior cerebral artery, which was not significantly affected after aICS.51,52 Our study indicated that functional compensation for decline in delayed recall of verbal memory after aICS may be associated with other brain areas, including frontal, temporal, and cerebellar regions. Second, although patients with insufficient blood perfusion in the left hemisphere may exhibit severe decline in delayed recall of verbal memory,53 the small sample size of this study may have impeded detection of significant differences in delayed recall of verbal memory decline between the aICSL and aICSR groups. We matched the variables, including age, sex, degree of stenosis, and handedness among the 3 groups. The statistical power in FC analysis achieved statistical power between 0.78 and 0.90, suggesting that our results are reliable even with a small sample size. However, further study with a larger sample size is required to consolidate the identified association between FC alteration and verbal memory decline.

FIG 6.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIG 6.

Graph displaying the FC of the left or right hippocampus gyrus with uncorrected P values less than .05. The connections with P values less than .005 are shown in red; those connections with P values between .005 and .05 are shown in gray.

CONCLUSIONS

This study suggested that the side of aICS may influence the FC alterations in both the anterior and posterior circulation territories. Stenosis in the left or right ICA was associated with different compensatory mechanisms for the decline in delayed recall of verbal memory.

Footnotes

  • Jyun-Ru Chen and Chun-Jen Lin contributed equally to this article.

  • This work was funded by the National Science and Technology Council (NSTC 112-2314-B-A49-060, 112-2314-B-075-037), Veterans General Hospitals and University System of Taiwan Joint Research Program (VGHUST113-G1-2-3), and the Taipei Veterans General Hospital (V112B-010). The funding bodies played no part in the study design, data collection, analysis, interpretation, or manuscript preparation.

  • Disclosure forms provided by the authors are available with the full text and PDF of this article at www.ajnr.org.

References

  1. 1.↵
    1. Krist AH,
    2. Davidson KW,
    3. Mangione CM, et al
    . Screening for asymptomatic carotid artery stenosis: US preventive services task force recommendation statement. JAMA 2021;325:476–81 doi:10.1001/jama.2020.26988 pmid:33528542
    CrossRefPubMed
  2. 2.↵
    1. Chang RW,
    2. Tucker L-Y,
    3. Rothenberg KA, et al
    . Incidence of ischemic stroke in patients with asymptomatic severe carotid stenosis without surgical intervention. JAMA 2022;327:1974–82 doi:10.1001/jama.2022.4835 pmid:35608581
    CrossRefPubMed
  3. 3.↵
    1. Jackson DC,
    2. Sandoval-Garcia C,
    3. Rocque BG, et al
    . Cognitive deficits in symptomatic and asymptomatic carotid endarterectomy surgical candidates. Arch Clin Neuropsychol 2016;31:1–7 doi:10.1093/arclin/acv082 pmid:26663810
    CrossRefPubMed
  4. 4.↵
    1. Lin C-J,
    2. Tu P-C,
    3. Chern C-M, et al
    . Connectivity features for identifying cognitive impairment in presymptomatic carotid stenosis. PLoS One 2014;9:e85441 doi:10.1371/journal.pone.0085441 pmid:24454868
    CrossRefPubMed
  5. 5.↵
    1. Paraskevas KI,
    2. Faggioli G,
    3. Ancetti S, et al
    . Editor's choice - asymptomatic carotid stenosis and cognitive impairment: a systematic review. Eur J Vasc Endovasc Surg 2021;61:888–99 doi:10.1016/j.ejvs.2021.03.024 pmid:33966986
    CrossRefPubMed
  6. 6.↵
    1. Kim JE,
    2. Lee BR,
    3. Chun JE, et al
    . Cognitive dysfunction in 16 patients with carotid stenosis: detailed neuropsychological findings. J Clin Neurol 2007;3:9–17 doi:10.3988/jcn.2007.3.1.9 pmid:19513337
    CrossRefPubMed
  7. 7.↵
    1. Cheng H-L,
    2. Lin C-J,
    3. Soong B-W, et al
    . Impairments in cognitive function and brain connectivity in severe asymptomatic carotid stenosis. Stroke 2012;43:2567–73 doi:10.1161/STROKEAHA.111.645614 pmid:22935402
    Abstract/FREE Full Text
  8. 8.↵
    1. Khan AA,
    2. Patel J,
    3. Desikan S, et al
    . Asymptomatic carotid artery stenosis is associated with cerebral hypoperfusion. J Vasc Surg 2021;73:1611–21.e2 doi:10.1016/j.jvs.2020.10.063 pmid:33166609
    CrossRefPubMed
  9. 9.↵
    1. Chen Y-F,
    2. Tang S-C,
    3. Wu W-C, et al
    . Alterations of cerebral perfusion in asymptomatic internal carotid artery steno-occlusive disease. Sci Rep 2017;7:1841 doi:10.1038/s41598-017-02094-4 pmid:28500300
    CrossRefPubMed
  10. 10.↵
    1. Sheth SA,
    2. Liebeskind DS
    . Imaging evaluation of collaterals in the brain: physiology and clinical translation. Curr Radiology Rep 2014;2:29 doi:10.1007/s40134-013-0029-5 pmid:25478305
    CrossRefPubMed
  11. 11.↵
    1. Liang X,
    2. Zou Q,
    3. He Y, et al
    . Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain. Proc Natl Acad Sci U S A 2013;110:1929–34 doi:10.1073/pnas.1214900110 pmid:23319644
    Abstract/FREE Full Text
  12. 12.↵
    1. Dall'Acqua P, et al
    . Functional and structural network recovery after mild traumatic brain injury: a 1-year longitudinal study. Front Hum Neurosci 2017;11:280.
    CrossRefPubMed
  13. 13.↵
    1. He S,
    2. Duan R,
    3. Liu Z, et al
    . Altered functional connectivity is related to impaired cognition in left unilateral asymptomatic carotid artery stenosis patients. BMC Neurol 2021;21:350 doi:10.1186/s12883-021-02385-4 pmid:34517833
    CrossRefPubMed
  14. 14.↵
    1. Maguire EA,
    2. Mummery CJ,
    3. Buchel C
    . Patterns of hippocampal-cortical interaction dissociate temporal lobe memory subsystems. Hippocampus 2000;10:475–82 doi:10.1002/1098-1063(2000)10:4<475::AID-HIPO14>3.3.CO;2-O
    CrossRefPubMed
  15. 15.↵
    1. Chen SH,
    2. Desmond JE
    . Temporal dynamics of cerebro-cerebellar network recruitment during a cognitive task. Neuropsychologia 2005;43:1227–37 doi:10.1016/j.neuropsychologia.2004.12.015 pmid:15949507
    CrossRefPubMed
  16. 16.↵
    1. Ding H,
    2. Qin W,
    3. Jiang T, et al
    . Volumetric variation in subregions of the cerebellum correlates with working memory performance. Neurosci Lett 2012;508:47–51 doi:10.1016/j.neulet.2011.12.016 pmid:22206834
    CrossRefPubMed
  17. 17.↵
    1. Kozasa EH,
    2. Sato JR,
    3. Lacerda SS, et al
    . Meditation training increases brain efficiency in an attention task. Neuroimage 2012;59:745–49 doi:10.1016/j.neuroimage.2011.06.088 pmid:21763432
    CrossRefPubMed
  18. 18.↵
    1. Nyberg L,
    2. Eriksson J
    . Working memory: maintenance, updating, and the realization of intentions. Cold Spring Harb Perspect Biol 2015;8:a021816 doi:10.1101/cshperspect.a021816 pmid:26637287
    Abstract/FREE Full Text
  19. 19.↵
    1. Herlin B,
    2. Navarro V,
    3. Dupont S
    . The temporal pole: from anatomy to function-A literature appraisal. J Chem Neuroanat 2021;113:101925 doi:10.1016/j.jchemneu.2021.101925 pmid:33582250
    CrossRefPubMed
  20. 20.↵
    1. Luis EO,
    2. Arrondo G,
    3. Vidorreta M, et al
    . Successful working memory processes and cerebellum in an elderly sample: a neuropsychological and fMRI study. PLoS One 2015;10:e0131536 doi:10.1371/journal.pone.0131536 pmid:26132286
    CrossRefPubMed
  21. 21.↵
    1. Ojemann GA
    . The neurobiology of language and verbal memory: observations from awake neurosurgery. Int J Psychophysiol 2003;48:141–46 doi:10.1016/s0167-8760(03)00051-5 pmid:12763571
    CrossRefPubMed
  22. 22.↵
    1. Knecht S,
    2. Deppe M,
    3. Dräger B, et al
    . Language lateralization in healthy right-handers. Brain 2000;123 (Pt 1):74–81 doi:10.1093/brain/123.1.74 pmid:10611122
    CrossRefPubMed
  23. 23.↵
    1. Binder JR,
    2. Frost JA,
    3. Hammeke TA, et al
    . Human brain language areas identified by functional magnetic resonance imaging. J Neurosci 1997;17:353–62 doi:10.1523/JNEUROSCI.17-01-00353.1997 pmid:8987760
    Abstract/FREE Full Text
  24. 24.↵
    1. Leunen D,
    2. Caroff X,
    3. Chmura S, et al
    . Verbal and spatial learning after temporal lobe excisions in children: an adaptation of the Grober and Buschke procedure. Epilepsy Behav 2009;16:534–38 doi:10.1016/j.yebeh.2009.09.004 pmid:19837004
    CrossRefPubMed
  25. 25.↵
    1. Guo J,
    2. Yang M,
    3. Biswal BB, et al
    . Abnormal functional connectivity density in post-stroke aphasia. Brain Topogr 2019;32:271–82 doi:10.1007/s10548-018-0681-4 pmid:30293180
    CrossRefPubMed
  26. 26.↵
    1. Chang CC,
    2. Kramer JH,
    3. Lin KN, et al
    . Validating the Chinese version of the verbal learning test for screening Alzheimer's disease. J Int Neuropsychol Soc 2010;16:244–51 doi:10.1017/S1355617709991184 pmid:20003579
    CrossRefPubMed
  27. 27.↵
    1. Fazekas F,
    2. Chawluk JB,
    3. Alavi A, et al
    . MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. AJR Am J Roentgenol 1987;149:351–56 doi:10.2214/ajr.149.2.351 pmid:3496763
    CrossRefPubMed
  28. 28.↵
    1. Yan C-G,
    2. Wang X-D,
    3. Zuo X-N, et al
    . DPABI: data processing & analysis for (resting-state) brain imaging. Neuroinformatics 2016;14:339–51 doi:10.1007/s12021-016-9299-4 pmid:27075850
    CrossRefPubMed
  29. 29.↵
    1. Tzourio-Mazoyer N,
    2. Landeau B,
    3. Papathanassiou D, et al
    . Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage 2002;15:273–89 doi:10.1006/nimg.2001.0978 pmid:11771995
    CrossRefPubMed
  30. 30.↵
    1. Folstein MF,
    2. Paul SEF,
    3. McHugh R, et al
    . Mini-Mental State Examination: MMSE User's Guide. Psychology Assessment Resources; 2000:12.
  31. 31.↵
    1. Ostrosky‐Solís F,
    2. Lozano A
    . Digit Span: Effect of education and culture. Int J Psychol 2006;41:333–41 doi:10.1080/00207590500345724
    CrossRef
  32. 32.↵
    1. Coleman S,
    2. Zenhausern R
    . Processing speed, laterality patterns, and memory encoding as a function of hemispheric dominance. Bull Psychon Soc 1979;14:357–60 doi:10.3758/BF03329478
    CrossRef
  33. 33.↵
    1. Stéphanie D,
    2. Markus HS
    . The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ 2010;341:c3666 doi:10.1136/bmj.c3666 pmid:20660506
    Abstract/FREE Full Text
  34. 34.↵
    1. Knopman DS
    . Cerebrovascular disease and dementia. Br J Radiology 2007;80 Spec No 2:S121–7 doi:10.1259/bjr/75681080 pmid:18445742
    CrossRefPubMed
  35. 35.↵
    1. Toth P,
    2. Tarantini S,
    3. Csiszar A, et al
    . Functional vascular contributions to cognitive impairment and dementia: mechanisms and consequences of cerebral autoregulatory dysfunction, endothelial impairment, and neurovascular uncoupling in aging. Am J Physiol Heart Circ Physiol 2017;312:H1–H20 doi:10.1152/ajpheart.00581.2016 pmid:27793855
    CrossRefPubMed
  36. 36.↵
    1. Phillips AA,
    2. Chan FH,
    3. Zheng MMZ, et al
    . Neurovascular coupling in humans: physiology, methodological advances and clinical implications. J Cereb Blood Flow Metab 2016;36:647–64 doi:10.1177/0271678X15617954 pmid:26661243
    CrossRefPubMed
  37. 37.↵
    1. Paulson OB,
    2. Strandgaard S,
    3. Edvinsson L
    . Cerebral autoregulation. Cerebrovasc Brain Metab Rev 1990;2:161–92
    CrossRefPubMed
  38. 38.↵
    1. Shekhar S, et al
    . Cerebral autoregulation in hypertension and ischemic stroke: a mini review. J Pharm Sci Exp Pharmacol 2017;2017:21–27
    PubMed
  39. 39.↵
    1. Wang T,
    2. Xiao F,
    3. Wu G, et al
    . Impairments in brain perfusion, metabolites, functional connectivity, and cognition in severe asymptomatic carotid stenosis patients: an integrated MRI study. Neural Plast 2017;2017:1–7 doi:10.1155/2017/8738714
    CrossRefPubMed
  40. 40.↵
    1. Binder MD,
    2. Hirokawa N,
    3. Windhorst U
    1. Tatsumi IF,
    2. Watanabe M
    . Verbal Memory. In: Encyclopedia of Neuroscience. Binder MD, Hirokawa N, Windhorst U, eds. Springer-Verlag Berlin Heidelberg; 2009:4176–78 doi:10.1007/978-3-540-29678-2_6266
    CrossRef
  41. 41.↵
    1. Mechelli A,
    2. Humphreys GW,
    3. Mayall K, et al
    . Differential effects of word length and visual contrast in the fusiform and lingual gyri during reading. Proc Biol Sci 2000;267:1909–13 doi:10.1098/rspb.2000.1229 pmid:11052544
    CrossRefPubMed
  42. 42.↵
    1. Cui D,
    2. Zhang L,
    3. Zheng F, et al
    . Volumetric reduction of cerebellar lobules associated with memory decline across the adult lifespan. Quant Imaging Med Surg 2020;10:148–59 doi:10.21037/qims.2019.10.19 pmid:31956538
    CrossRefPubMed
  43. 43.↵
    1. Gao L,
    2. Wang T,
    3. Qian T, et al
    . Severe asymptomatic carotid stenosis is associated with robust reductions in homotopic functional connectivity. Neuroimage Clin 2019;24:102101 doi:10.1016/j.nicl.2019.102101 pmid:31835289
    CrossRefPubMed
  44. 44.↵
    1. He S,
    2. Liu Z,
    3. Xu Z, et al
    . Brain functional network in chronic asymptomatic carotid artery stenosis and occlusion: changes and compensation. Neural Plast 2020;2020:9345602.
    CrossRefPubMed
  45. 45.↵
    1. Herweh C,
    2. Attigah N,
    3. Nagel S, et al
    . Quantitative high-field diffusion tensor imaging of cerebral white matter in asymptomatic high-grade internal carotid artery stenosis. Eur Neurol 2012;67:246–51 doi:10.1159/000334861 pmid:22441052
    CrossRefPubMed
  46. 46.↵
    1. Liu X,
    2. Xu D,
    3. Zhong X, et al
    . Altered callosal morphology and connectivity in asymptomatic carotid stenosis. J Magn Reson Imaging 2023;59:998–1007 doi:10.1002/jmri.28872 pmid:37334908
    CrossRefPubMed
  47. 47.↵
    1. Carlson HL,
    2. Sugden C,
    3. Brooks BL, et al
    . Functional connectivity of language networks after perinatal stroke. Neuroimage Clin 2019;23:101861 doi:10.1016/j.nicl.2019.101861 pmid:31141787
    CrossRefPubMed
  48. 48.↵
    1. Birn RM,
    2. Molloy EK,
    3. Patriat R, et al
    . The effect of scan length on the reliability of resting-state fMRI connectivity estimates. Neuroimage 2013;83:550–58 doi:10.1016/j.neuroimage.2013.05.099 pmid:23747458
    CrossRefPubMed
  49. 49.↵
    1. Wang T,
    2. Sun D,
    3. Liu Y, et al
    . The impact of carotid artery stenting on cerebral perfusion, functional connectivity, and cognition in severe asymptomatic carotid stenosis patients. Front Neurol 2017;8:403 doi:10.3389/fneur.2017.00403 pmid:28848495
    CrossRefPubMed
  50. 50.↵
    1. Quandt F,
    2. Fischer F,
    3. Schröder J, et al
    . Normalization of reduced functional connectivity after revascularization of asymptomatic carotid stenosis. J Cereb Blood Flow Metab 2019;40:1838–48 doi:10.1177/0271678X19874338 pmid:31510853
    CrossRefPubMed
  51. 51.↵
    1. Goetzen B,
    2. Sztamska E
    . Comparative anatomy of the arterial vascularization of the hippocampus in man and in experimental animals (cat, rabbit and sheep). Neuropatol Pol 1992;30:173–84
    PubMed
  52. 52.↵
    1. Bannerman DM,
    2. Rawlins JNP,
    3. McHugh SB, et al
    . Regional dissociations within the hippocampus–memory and anxiety. Neurosci Biobehav Rev 2004;28:273–83 doi:10.1016/j.neubiorev.2004.03.004 pmid:15225971
    CrossRefPubMed
  53. 53.↵
    1. Andrews G,
    2. Halford GS,
    3. Shum DHK, et al
    . Verbal learning and memory following stroke. Brain Inj 2014;28:442–47 doi:10.3109/02699052.2014.888758 pmid:24702308
    CrossRefPubMed
  • Received December 6, 2023.
  • Accepted after revision February 12, 2024.
  • © 2024 by American Journal of Neuroradiology
PreviousNext
Back to top
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Territory-Related Functional Connectivity Changes Associated with Verbal Memory Decline in Patients with Unilateral Asymptomatic Internal Carotid Stenosis
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
Jyun-Ru Chen, Chun-Jen Lin, Feng-Chi Chang, I-Hui Lee, Chia-Feng Lu
Territory-Related Functional Connectivity Changes Associated with Verbal Memory Decline in Patients with Unilateral Asymptomatic Internal Carotid Stenosis
American Journal of Neuroradiology Jun 2024, DOI: 10.3174/ajnr.A8248

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
Territory-Related Functional Connectivity Changes Associated with Verbal Memory Decline in Patients with Unilateral Asymptomatic Internal Carotid Stenosis
Jyun-Ru Chen, Chun-Jen Lin, Feng-Chi Chang, I-Hui Lee, Chia-Feng Lu
American Journal of Neuroradiology Jun 2024, DOI: 10.3174/ajnr.A8248
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • ABBREVIATIONS:
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSIONS
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Crossref (1)
  • Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Disrupted functional connectivity in carotid artery stenosis patients: Insights from fNIRS during a vasoreactivity test
    Víctor Sánchez, Luis Felipe Bortoletto, Caroline G. Mazala, Andrés Quiroga, Sergio Novi, Rickson C. Mesquita
    Brain Organoid and Systems Neuroscience Journal 2025 3

More in this TOC Section

  • A Comprehensive Review of IA Imaging Modalities
  • Synthetic MRI based on 3D-QALAS MR Quantification
  • Delta wave MRI
Show more NEUROIMAGING PHYSICS/FUNCTIONAL NEUROIMAGING/CT AND MRI TECHNOLOGY

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editor's Choice
  • Fellows' Journal Club
  • Letters to the Editor
  • Video Articles

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner
  • Book Reviews

Multimedia

  • AJNR Podcasts
  • AJNR Scantastics

Resources

  • Turnaround Time
  • Submit a Manuscript
  • Submit a Video Article
  • Submit an eLetter to the Editor/Response
  • Manuscript Submission Guidelines
  • Statistical Tips
  • Fast Publishing of Accepted Manuscripts
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Author Policies
  • Become a Reviewer/Academy of Reviewers
  • News and Updates

About Us

  • About AJNR
  • Editorial Board
  • Editorial Board Alumni
  • Alerts
  • Permissions
  • Not an AJNR Subscriber? Join Now
  • Advertise with Us
  • Librarian Resources
  • Feedback
  • Terms and Conditions
  • AJNR Editorial Board Alumni

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire