Evidence map›Paper›PMID 30739281›Full record

ArticleNeuroinformatics2019

Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment.

Han Zhang, Panteleimon Giannakopoulos, Sven Haller, Seong-Whan Lee, Shijun Qiu, Dinggang Shen

Abstract read
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Article in Neuroinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

6 authors.

Han ZhangDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, CB#7513, 130 Mason Farm Road, Chapel Hill, NC, 27599, USA.ORCID 0000-0002-6645-8810
Panteleimon GiannakopoulosDivision of Psychiatry, Geneva University Hospitals, Geneva, Switzerland.
Sven HallerAffidea CDRC - Centre Diagnostique Radiologique de Carouge, Carouge, Switzerland.
Seong-Whan LeeDepartment of Brain and Cognitive Engineering, Korea University, Seoul, 02841, Republic of Korea.
Shijun QiuDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, 16 Jichang Road, Guangzhou, 510405, Guangdong, China. qiu-sj@163.com.
Dinggang ShenDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, CB#7513, 130 Mason Farm Road, Chapel Hill, NC, 27599, USA. dgshen@med.unc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known about the high-order interactions among brain regions measured by the similarity of higher-order features (other than the raw blood-oxygen-level-dependent signals) which can characterize higher-level brain functional connectivity (FC). Previously, we proposed FC topographical profile-based high-order FC (HOFC) and found that this metric could provide supplementary information to traditional FC for early Alzheimer's disease (AD) detection. However, whether such findings apply to network-level brain functional integration is unknown. In this paper, we propose an extended HOFC method, termed inter-network high-order FC (IN-HOFC), as a useful complement to the traditional inter-network FC methods, for characterizing more complex organizations among the large-scale brain networks. In the IN-HOFC, both network definition and inter-network FC are defined in a high-order manner. To test whether IN-HOFC is more sensitive to cognition decline due to brain diseases than traditional inter-network FC, 77 mild cognitive impairments (MCIs) and 89 controls are compared among the conventional methods and our IN-HOFC. The result shows that IN-HOFCs among three temporal lobe-related high-order networks are dampened in MCIs. The impairment of IN-HOFC is especially found between the anterior and posterior medial temporal lobe and could be a potential MCI biomarker at the network level. The competing network-level low-order FC methods, however, either revealing less or failing to detect any group difference. This work demonstrates the biological meaning and potential diagnostic value of the IN-HOFC in clinical neuroscience studies.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseBrainBrain MappingCognitive DysfunctionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetAlzheimer’s disease (AD)Brain networkFunctional connectivityFunctional magnetic resonance imaging (fMRI)High-orderMild cognitive impairment (MCI)

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Registered trials

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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.