Evidence map›Paper›PMID 26157001›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2015

Disrupted Frontoparietal Network Mediates White Matter Structure Dysfunction Associated with Cognitive Decline in Hypertension Patients.

Xin Li, Ying Liang, Yaojing Chen, Junying Zhang, Dongfeng Wei, Kewei Chen, Ni Shu, Eric M Reiman, Zhanjun Zhang

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Xin LiState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing 100875, China.
Ying LiangState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing 100875, China.
Yaojing ChenState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing 100875, China.
Junying ZhangState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing 100875, China.
Dongfeng WeiState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing 100875, China, Institute of Basic Research in Clinical Medicine, China Academy of Traditional Chinese Medicine, Beijing 100700, China, and.
Kewei ChenState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Banner Alzheimer's Institute, Phoenix, Arizona 85006.
Ni ShuState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing 100875, China.
Eric M ReimanBanner Alzheimer's Institute, Phoenix, Arizona 85006.
Zhanjun ZhangState Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing 100875, China, Institute of Basic Research in Clinical Medicine, China Academy of Traditional Chinese Medicine, Beijing 100700, China, and zhang_rzs@bnu.edu.cn.
Beijing Normal University · CNAlzheimer's Association · USBanner Alzheimer’s InstituteMcGovern Institute for Brain Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Some previous reports have suggested that hypertension is a risk factor for dementia and cognitive impairments. Using behavioral data from 1007 elderly human subjects (405 hypertensive patients) of Han ethnicity from Beijing, China, the present study aimed to assess the effects of hypertension on cognitive performance and explore related neuronal changes via advanced resting-state functional magnetic resonance imaging and diffusion tensor imaging data from 84 of these subjects (44 hypertensive patients). Cognitively, we found that patients with hypertension showed decreased executive functions and attention compared with those with normotension in the large sample. In magnetic resonance imaging scan sample, using independent component analysis to examine the functional connectivity difference between the two groups, we found that the frontoparietal networks in the hypertensive group exhibited altered patterns compared with the control group, mainly in the inferior parietal lobe, left inferior frontal lobe, and precuneus. Using tract-based spatial statistics to investigate the between-group structural difference, we found that the hypertensive group showed significantly reduced integrity of white matter in the bilateral superior longitudinal fasciculus. Importantly, using the mediation analysis, we found that the functional connectivity of the frontoparietal networks mediates the impact of white matter on executive function in the hypertensive group. The results demonstrate that hypertension targets a specific pattern of cognitive decline, possibly due to deficits in the white matter and functional connectivity in frontal and parietal lobes. Our findings highlight the importance of brain protection in hypertension. SIGNIFICANCE STATEMENT: Hypertension is a risk factor for cognitive decline and dementia. However, the neural mechanism underlying cognitive decline in hypertension is largely unknown. We studied the relationship among cognitive decline, brain functional, and structural changes in hypertensive patients via advanced resting-state functional magnetic resonance imaging and diffusion tensor imaging data in a Chinese cohort. Hypertensive patients showed executive dysfunction, along with disrupted functional connectivity in frontoparietal (FP) networks and reduced integrity of white matter in the bilateral superior longitudinal fasciculus. Importantly, the functional connectivity changes mediate the impact of white matter alterations on cognitive decline in the hypertensive group. Our findings provide a better understanding of the mechanism of cognitive decline in hypertension and highlight the importance of brain protection in hypertension.

Indexed as

AgedBrain MappingCognition DisordersDiffusion Tensor ImagingFemaleFrontal LobeHumansHypertensionMaleMiddle AgedNegotiatingNeural PathwaysNeuropsychological TestsParietal LobePrincipal Component AnalysisRestfrontoparietal networksfunctional connectivityhypertensionsuperior longitudinal fasciculus

Identifiers

PMID26157001
PMCPMC6605417
OpenAlexW2096557358

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.