Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7347
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lau, Way K. W | en_US |
dc.contributor.author | Dr. LEUNG Mei-kei, Miki | en_US |
dc.contributor.author | Lau, Benson W. M. | en_US |
dc.date.accessioned | 2023-01-31T07:43:55Z | - |
dc.date.available | 2023-01-31T07:43:55Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Scientific Reports, 2019, Vol.9 (1), pp.3892-3892. | en_US |
dc.identifier.issn | 2045-2322 | - |
dc.identifier.issn | 2045-2322 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11861/7347 | - |
dc.description.abstract | The gold standard for clinical assessment of Autism Spectrum Disorders (ASD) relies on assessing behavior via semi-structured play-based interviews and parent interviews. Although these methods show good sensitivity and specificity in diagnosing ASD cases, behavioral assessments alone may hinder the identification of asymptomatic at-risk group. Resting-state functional magnetic resonance imaging (rs-fMRI) could be an appropriate approach to produce objective neural markers to supplement behavioral assessments due to its non-invasive and task-free nature. Previous neuroimaging studies reported inconsistent resting-state abnormalities in ASD, which may be explained by small sample sizes and phenotypic heterogeneity in ASD subjects, and/or the use of different analytical methods across studies. The current study aims to investigate the local resting-state abnormalities of ASD regardless of subject age, IQ, gender, disease severity and methodological differences, using activation likelihood estimation (ALE). MEDLINE/PubMed databases were searched for whole-brain rs-fMRI studies on ASD published until Feb 2018. Eight experiments involving 424 subjects were included in the ALE meta-analysis. We demonstrate two ASD-related resting-state findings: local underconnectivity in the dorsal posterior cingulate cortex (PCC) and in the right medial paracentral lobule. This study contributes to uncovering a consistent pattern of resting-state local abnormalities that may serve as potential neurobiological markers for ASD. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Scientific Reports | en_US |
dc.title | Resting-state abnormalities in Autism Spectrum Disorders: A meta-analysis | en_US |
dc.type | Peer Reviewed Journal Article | en_US |
dc.identifier.doi | 10.1038/s41598-019-40427-7 | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Department of Counselling & Psychology | - |
Appears in Collections: | Counselling and Psychology - Publication |
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