Evidence map›Paper›PMID 30307489›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2019

Sequence Alterations of Cortical Genes Linked to Individual Connectivity of the Human Brain.

Qilong Xin, Laura Ortiz-Terán, Ibai Diez, David L Perez, Julia Ginsburg, Georges El Fakhri, Jorge Sepulcre

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. The Role of Visual Experience in Individual Differences of Brain Connectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
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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

7 authors at 3 institutions in 2 countries.

Qilong XinDepartment of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Laura Ortiz-TeránDepartment of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Ibai DiezDepartment of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
David L PerezDepartments of Neurology and Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston MA, USA.
Julia GinsburgDepartment of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Georges El FakhriDepartment of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Jorge SepulcreDepartment of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Massachusetts General Hospital · USGordon Center for Medical Imaging · USHarvard University · US

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Alessio Fasano · 1994 to 2026
$31.6M
Unified Joint Statistical Reconstruction of PET & MRP41EB022544 · NIBIB · YALE UNIVERSITY · PI Kira Grogg · 2017 to 2026
$14.8M
Postgraduate Training Program in Medical Imaging (PTPMI)T32EB013180 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Ciprian Catana, Pedram Heidari · 2011 to 2026
$3.7M
Study of Brain Spreading Pathways of Tau and Amyloid-Beta in (pre)clinical ADRF1AG052653 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI LI, QUANZHENG, SEPULCRE, JORGE · 2017 to 2017
$1.4M
Neuroimaging Biomarkers of Symptom Severity, Adverse Life Events and Prognosis in Motor Functional Neurological DisordersK23MH111983 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PEREZ, DAVID LEWIS · 2017 to 2021
$998k
In Vivo Visualization of TAU and Amyloid-Beta Networks for Early AD DetectionK23EB019023 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI SEPULCRE, JORGE · 2014 to 2018
$810k
NIA NIH HHS RF1 AG052653NIBIB NIH HHS K23 EB019023NIBIB NIH HHS P41 EB022544NIBIB NIH HHS T32 EB013180NIDDK NIH HHS P30 DK040561NIMH NIH HHS K23 MH111983
6 · The paper itself

Abstract

Individual differences in humans are driven by unique brain structural and functional profiles, presumably mediated in part through differential cortical gene expression. However, the relationships between cortical gene expression profiles and individual differences in large-scale neural network organization remain poorly understood. In this study, we aimed to investigate whether the magnitude of sequence alterations in regional cortical genes mapped onto brain areas with high degree of functional connectivity variability across individuals. First, human genetic expression data from the Allen Brain Atlas was used to identify protein-coding genes associated with cortical areas, which delineated the regional genetic signature of specific cortical areas based on sequence alteration profiles. Thereafter, we identified brain regions that manifested high degrees of individual variability by using test-retest functional connectivity magnetic resonance imaging and graph-theory analyses in healthy subjects. We found that rates of genetic sequence alterations shared a distinct spatial topography with cortical regions exhibiting individualized (highly-variable) connectivity profiles. Interestingly, gene expression profiles of brain regions with highly individualized connectivity patterns and elevated number of sequence alterations are devoted to neuropeptide-signaling-pathways and chemical-synaptic-transmission. Our findings support that genetic sequence alterations may underlie important aspects of brain connectome individualities in humans. Significance Statement: The neurobiological underpinnings of our individuality as humans are still an unsolved question. Although the notion that genetic variation drives an individual's brain organization has been previously postulated, specific links between neural connectivity and gene expression profiles have remained elusive. In this study, we identified the magnitude of population-based sequence alterations in discrete cortical regions and compared them to the brain topological distribution of functional connectivity variability across an independent human sample. We discovered that brain regions with high degree of connectional individuality are defined by increased rates of genetic sequence alterations; these findings specifically implicated genes involved in neuropeptide-signaling pathways and chemical-synaptic transmission. These observations support that genetic sequence alterations may underlie important aspects of the emergence of the brain individuality across humans.

Indexed as

TranscriptomeBrainBrain MappingGene Expression ProfilingGenetic ProfileHumansMagnetic Resonance ImagingNeural Pathwaysfunctional connectivitygenetic variantsindividual differencessequence alterations

Identifiers

PMID30307489
PMCPMC6686751
OpenAlexW2896775980

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.