File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.3390/nu12103010
- Scopus: eid_2-s2.0-85091770528
- PMID: 33007961
- WOS: WOS:000586154100001
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: How Does Our Brain Process Sugars and Non-Nutritive Sweeteners Differently: A Systematic Review on Functional Magnetic Resonance Imaging Studies
Title | How Does Our Brain Process Sugars and Non-Nutritive Sweeteners Differently: A Systematic Review on Functional Magnetic Resonance Imaging Studies |
---|---|
Authors | |
Keywords | neuroimaging eating obesity sugar sweetener |
Issue Date | 2020 |
Publisher | MDPI AG. The Journal's web site is located at http://www.mdpi.com/journal/nutrients/ |
Citation | Nutrients, 2020, v. 12 n. 10, p. article no. 3010 How to Cite? |
Abstract | This systematic review aimed to reveal the differential brain processing of sugars and sweeteners in humans. Functional magnetic resonance imaging studies published up to 2019 were retrieved from two databases and were included into the review if they evaluated the effects of both sugars and sweeteners on the subjects’ brain responses, during tasting and right after ingestion. Twenty studies fulfilled the inclusion criteria. The number of participants per study ranged from 5 to 42, with a total number of study participants at 396. Seven studies recruited both males and females, 7 were all-female and 6 were all-male. There was no consistent pattern showing that sugar or sweeteners elicited larger brain responses. Commonly involved brain regions were insula/operculum, cingulate and striatum, brainstem, hypothalamus and the ventral tegmental area. Future studies, therefore, should recruit a larger sample size, adopt a standardized fasting duration (preferably 12 h overnight, which is the most common practice and brain responses are larger in the state of hunger), and reported results with familywise-error rate (FWE)-corrected statistics. Every study should report the differential brain activation between sugar and non-nutritive sweetener conditions regardless of the complexity of their experiment design. These measures would enable a meta-analysis, pooling data across studies in a meaningful manner. |
Persistent Identifier | http://hdl.handle.net/10722/288036 |
ISSN | 2023 Impact Factor: 4.8 2023 SCImago Journal Rankings: 1.301 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yeung, AWK | - |
dc.contributor.author | Wong, NSM | - |
dc.date.accessioned | 2020-10-05T12:06:56Z | - |
dc.date.available | 2020-10-05T12:06:56Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Nutrients, 2020, v. 12 n. 10, p. article no. 3010 | - |
dc.identifier.issn | 2072-6643 | - |
dc.identifier.uri | http://hdl.handle.net/10722/288036 | - |
dc.description.abstract | This systematic review aimed to reveal the differential brain processing of sugars and sweeteners in humans. Functional magnetic resonance imaging studies published up to 2019 were retrieved from two databases and were included into the review if they evaluated the effects of both sugars and sweeteners on the subjects’ brain responses, during tasting and right after ingestion. Twenty studies fulfilled the inclusion criteria. The number of participants per study ranged from 5 to 42, with a total number of study participants at 396. Seven studies recruited both males and females, 7 were all-female and 6 were all-male. There was no consistent pattern showing that sugar or sweeteners elicited larger brain responses. Commonly involved brain regions were insula/operculum, cingulate and striatum, brainstem, hypothalamus and the ventral tegmental area. Future studies, therefore, should recruit a larger sample size, adopt a standardized fasting duration (preferably 12 h overnight, which is the most common practice and brain responses are larger in the state of hunger), and reported results with familywise-error rate (FWE)-corrected statistics. Every study should report the differential brain activation between sugar and non-nutritive sweetener conditions regardless of the complexity of their experiment design. These measures would enable a meta-analysis, pooling data across studies in a meaningful manner. | - |
dc.language | eng | - |
dc.publisher | MDPI AG. The Journal's web site is located at http://www.mdpi.com/journal/nutrients/ | - |
dc.relation.ispartof | Nutrients | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | neuroimaging | - |
dc.subject | eating | - |
dc.subject | obesity | - |
dc.subject | sugar | - |
dc.subject | sweetener | - |
dc.title | How Does Our Brain Process Sugars and Non-Nutritive Sweeteners Differently: A Systematic Review on Functional Magnetic Resonance Imaging Studies | - |
dc.type | Article | - |
dc.identifier.email | Yeung, AWK: ndyeung@hku.hk | - |
dc.identifier.email | Wong, NSM: smwong26@hku.hk | - |
dc.identifier.authority | Yeung, AWK=rp02143 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.3390/nu12103010 | - |
dc.identifier.pmid | 33007961 | - |
dc.identifier.pmcid | PMC7600285 | - |
dc.identifier.scopus | eid_2-s2.0-85091770528 | - |
dc.identifier.hkuros | 315842 | - |
dc.identifier.volume | 12 | - |
dc.identifier.issue | 10 | - |
dc.identifier.spage | article no. 3010 | - |
dc.identifier.epage | article no. 3010 | - |
dc.identifier.isi | WOS:000586154100001 | - |
dc.publisher.place | Switzerland | - |
dc.identifier.issnl | 2072-6643 | - |