Exploring the correlation between genetic transcription and multi-temporal developmental autism spectrum disorder using resting-state functional magnetic resonance imaging
Copyright © 2023 Li, Zhou, Li, Gu and He..
Introduction: The present investigation aimed to explore the neurodevelopmental trajectory of autism spectrum disorder (ASD) by identifying the changes in brain function and gene expression associated with the disorder. Previous studies have indicated that ASD is a highly inherited neurodevelopmental disorder of the brain that displays symptom heterogeneity across different developmental periods. However, the transcriptomic changes underlying these developmental differences remain largely unknown.
Methods: To address this gap in knowledge, our study employed resting-state functional magnetic resonance imaging (rs-fMRI) data from a large sample of male participants across four representative age groups to stratify the abnormal changes in brain function associated with ASD. Partial least square regression (PLSr) was utilized to identify unique changes in gene expression in brain regions characterized by aberrant functioning in ASD.
Results: Our results revealed that ASD exhibits distinctive developmental trajectories in crucial brain regions such as the default mode network (DMN), temporal lobe, and prefrontal lobes during critical periods of neurodevelopment when compared to the control group. These changes were also associated with genes primarily located in synaptic tissues.
Discussion: The findings of this study suggest that the neurobiology of ASD is uniquely heterogeneous across different ages and may be accompanied by distinct molecular mechanisms related to gene expression.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:17 |
|---|---|
| Enthalten in: |
Frontiers in neuroscience - 17(2023) vom: 20., Seite 1219753 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Li, Yanling [VerfasserIn] |
|---|
| Links: |
|---|
| Anmerkungen: |
Date Revised 18.07.2023 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
|---|
| doi: |
10.3389/fnins.2023.1219753 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM359576656 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM359576656 | ||
| 003 | DE-627 | ||
| 005 | 20231226081156.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.3389/fnins.2023.1219753 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1198.xml |
| 035 | |a (DE-627)NLM359576656 | ||
| 035 | |a (NLM)37456995 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Li, Yanling |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Exploring the correlation between genetic transcription and multi-temporal developmental autism spectrum disorder using resting-state functional magnetic resonance imaging |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 18.07.2023 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Copyright © 2023 Li, Zhou, Li, Gu and He. | ||
| 520 | |a Introduction: The present investigation aimed to explore the neurodevelopmental trajectory of autism spectrum disorder (ASD) by identifying the changes in brain function and gene expression associated with the disorder. Previous studies have indicated that ASD is a highly inherited neurodevelopmental disorder of the brain that displays symptom heterogeneity across different developmental periods. However, the transcriptomic changes underlying these developmental differences remain largely unknown | ||
| 520 | |a Methods: To address this gap in knowledge, our study employed resting-state functional magnetic resonance imaging (rs-fMRI) data from a large sample of male participants across four representative age groups to stratify the abnormal changes in brain function associated with ASD. Partial least square regression (PLSr) was utilized to identify unique changes in gene expression in brain regions characterized by aberrant functioning in ASD | ||
| 520 | |a Results: Our results revealed that ASD exhibits distinctive developmental trajectories in crucial brain regions such as the default mode network (DMN), temporal lobe, and prefrontal lobes during critical periods of neurodevelopment when compared to the control group. These changes were also associated with genes primarily located in synaptic tissues | ||
| 520 | |a Discussion: The findings of this study suggest that the neurobiology of ASD is uniquely heterogeneous across different ages and may be accompanied by distinct molecular mechanisms related to gene expression | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a amplitude of low frequency fluctuation | |
| 650 | 4 | |a autism spectrum disorder | |
| 650 | 4 | |a degree centrality | |
| 650 | 4 | |a fractional amplitude of low-frequency fluctuation | |
| 650 | 4 | |a multi-tempora | |
| 650 | 4 | |a regional homogeneity | |
| 650 | 4 | |a resting-state functional magnetic resonance imaging | |
| 650 | 4 | |a transcription-neuroimaging association analysis | |
| 700 | 1 | |a Zhou, Fanchao |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Rui |e verfasserin |4 aut | |
| 700 | 1 | |a Gu, Jiahe |e verfasserin |4 aut | |
| 700 | 1 | |a He, Jiangping |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Frontiers in neuroscience |d 2007 |g 17(2023) vom: 20., Seite 1219753 |w (DE-627)NLM184194563 |x 1662-4548 |7 nnns |
| 773 | 1 | 8 | |g volume:17 |g year:2023 |g day:20 |g pages:1219753 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.3389/fnins.2023.1219753 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 17 |j 2023 |b 20 |h 1219753 | ||