Hippocampal subfield differences in people with and without recreational ketamine use: Insights from multi‐modal neuroimaging.
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| Title: | Hippocampal subfield differences in people with and without recreational ketamine use: Insights from multi‐modal neuroimaging. |
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| Authors: | Liu, Yi‐Hsuan, Hung, Chia‐Chun, Potenza, Marc N., Chou, Kun‐Hsien, Lee, Pei‐Lin, Huang, Chu‐Chung, Li, Chiang‐Shan R., Lee, Tony Szu‐Hsien, Lin, Ching‐Po |
| Source: | Addiction. Jun2026, Vol. 121 Issue 6, p1541-1556. 16p. |
| Subjects: | Brain anatomy, Substance abuse, Cross-sectional method, Statistical power analysis, Pearson correlation (Statistics), Ketamine, Functional connectivity, Research funding, Symptom Checklist-90-Revised, T-test (Statistics), Data analysis, Amygdaloid body, Alexithymia, Questionnaires, Descriptive statistics, Chi-squared test, Analysis of covariance, Magnetic resonance imaging, Drug abuse, Case-control method, Statistics, Cognition disorders, Psychoses, Hippocampus (Brain), Neuroradiology, Short-term memory, Data analysis software, Brain mapping, Cell receptors, Neurotransmitters |
| Geographic Terms: | Taiwan |
| Abstract: | Background and aims: Recreational ketamine use has increased globally and is associated with psychiatric and cognitive concerns. The hippocampus in preclinical models shows damage and working‐memory disruption with repeated dosing. However, whether specific hippocampal subregions may differ in people with chronic ketamine use remains unclear. In Taiwan, ketamine is predominantly consumed by smoking ketamine mixed with tobacco, producing smoking‐related behavioral profiles like non‐ketamine tobacco use participants (TUs). We therefore examined individuals with urine‐confirmed ketamine as the only detected substance who reported predominantly smoking‐administered recreational use (KUs) and used TUs as controls. This study aimed to: (1) characterize ketamine‐use patterns and psychiatric symptoms; (2) compare working‐memory and affective‐behavioral measures between KUs and TUs; (3) quantify group differences in hippocampal subregion volumes; and (4) assess group differences in functional connectivity (FC) of identified subregions and relationships with neurotransmitter receptor distributions. Design: Cross‐sectional case‐control study with cognitive testing and neuroimaging. Setting: Community‐based recruitment in Taiwan. Participants: 58 KUs (44 males; mean age = 21.00 ± 4.57) and 73 TUs (52 males; mean age = 24.34 ± 5.86). Measurements Ketamine‐use patterns (Addiction Severity Index), psychiatric symptoms [Symptom Checklist‐90‐Revised (SCL‐90‐R)], working‐memory (N‐back), affective‐behavioral measures [Barratt Impulsiveness Scale (BIS‐11), Buss and Perry Aggression Questionnaire (BPAQ), Sensitivity to Punishment and Sensitivity to Reward Questionnaire (SPSRQ)], hippocampal subfield volumes (FreeSurfer) and functional connectivity (FC) of identified subregions (seed‐based analysis). Spatial correspondence with N‐methyl‐D‐aspartate (NMDA) receptor density was evaluated using JuSpace. Findings Heavier ketamine use was associated with greater psychological distress [Global Severity Index (GSI) r = 0.343, P = 0.011], particularly anxiety (r = 0.457, P < 0.001) and hostility (r = 0.442, P < 0.001). Although self‐reported impulsivity, aggression and reward/punishment sensitivity did not differ between groups, KUs showed reduced accuracy under higher working‐memory load [2‐back: F(1, 124) = 4.16, P = 0.04, partial η2 = 0.03; 1‐back: F(1, 124) = 8.10, P = 0.005, η2 = 0.06]. KUs displayed reduced left hippocampal volume [F(1, 119) = 4.23, P = 0.04, η2 = 0.03], most marked in the hippocampal‐amygdaloid‐transition‐area [HATA; F(1, 119) = 10.52, P = 0.002, η2 = 0.08]. KUs also showed increased FC between left HATA and frontal, cingulate, temporal, subcortical, insular and cerebellar regions (P < 0.05, AlphaSim corrected), which correlated with NMDA‐receptor distributions (z = 0.30, P = 0.005, false discovery rate corrected). Conclusions: Recreational smoking‐administered ketamine use appears to be associated with dose‐dependent psychiatric symptoms, load‐dependent working memory impairment, selective hippocampal subregion volumetric differences and altered network connectivity aligned with N‐methyl‐D‐aspartate‐ (NMDA) receptor distribution. [ABSTRACT FROM AUTHOR] |
| Copyright of Addiction is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 193626116 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Hippocampal subfield differences in people with and without recreational ketamine use: Insights from multi‐modal neuroimaging. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Liu%2C+Yi‐Hsuan%22">Liu, Yi‐Hsuan</searchLink><br /><searchLink fieldCode="AR" term="%22Hung%2C+Chia‐Chun%22">Hung, Chia‐Chun</searchLink><br /><searchLink fieldCode="AR" term="%22Potenza%2C+Marc+N%2E%22">Potenza, Marc N.</searchLink><br /><searchLink fieldCode="AR" term="%22Chou%2C+Kun‐Hsien%22">Chou, Kun‐Hsien</searchLink><br /><searchLink fieldCode="AR" term="%22Lee%2C+Pei‐Lin%22">Lee, Pei‐Lin</searchLink><br /><searchLink fieldCode="AR" term="%22Huang%2C+Chu‐Chung%22">Huang, Chu‐Chung</searchLink><br /><searchLink fieldCode="AR" term="%22Li%2C+Chiang‐Shan+R%2E%22">Li, Chiang‐Shan R.</searchLink><br /><searchLink fieldCode="AR" term="%22Lee%2C+Tony+Szu‐Hsien%22">Lee, Tony Szu‐Hsien</searchLink><br /><searchLink fieldCode="AR" term="%22Lin%2C+Ching‐Po%22">Lin, Ching‐Po</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Addiction%22">Addiction</searchLink>. Jun2026, Vol. 121 Issue 6, p1541-1556. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Brain+anatomy%22">Brain anatomy</searchLink><br /><searchLink fieldCode="DE" term="%22Substance+abuse%22">Substance abuse</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+power+analysis%22">Statistical power analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Pearson+correlation+%28Statistics%29%22">Pearson correlation (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Ketamine%22">Ketamine</searchLink><br /><searchLink fieldCode="DE" term="%22Functional+connectivity%22">Functional connectivity</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Symptom+Checklist-90-Revised%22">Symptom Checklist-90-Revised</searchLink><br /><searchLink fieldCode="DE" term="%22T-test+%28Statistics%29%22">T-test (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Amygdaloid+body%22">Amygdaloid body</searchLink><br /><searchLink fieldCode="DE" term="%22Alexithymia%22">Alexithymia</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Chi-squared+test%22">Chi-squared test</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+covariance%22">Analysis of covariance</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Drug+abuse%22">Drug abuse</searchLink><br /><searchLink fieldCode="DE" term="%22Case-control+method%22">Case-control method</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition+disorders%22">Cognition disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Psychoses%22">Psychoses</searchLink><br /><searchLink fieldCode="DE" term="%22Hippocampus+%28Brain%29%22">Hippocampus (Brain)</searchLink><br /><searchLink fieldCode="DE" term="%22Neuroradiology%22">Neuroradiology</searchLink><br /><searchLink fieldCode="DE" term="%22Short-term+memory%22">Short-term memory</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+mapping%22">Brain mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Cell+receptors%22">Cell receptors</searchLink><br /><searchLink fieldCode="DE" term="%22Neurotransmitters%22">Neurotransmitters</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Taiwan%22">Taiwan</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background and aims: Recreational ketamine use has increased globally and is associated with psychiatric and cognitive concerns. The hippocampus in preclinical models shows damage and working‐memory disruption with repeated dosing. However, whether specific hippocampal subregions may differ in people with chronic ketamine use remains unclear. In Taiwan, ketamine is predominantly consumed by smoking ketamine mixed with tobacco, producing smoking‐related behavioral profiles like non‐ketamine tobacco use participants (TUs). We therefore examined individuals with urine‐confirmed ketamine as the only detected substance who reported predominantly smoking‐administered recreational use (KUs) and used TUs as controls. This study aimed to: (1) characterize ketamine‐use patterns and psychiatric symptoms; (2) compare working‐memory and affective‐behavioral measures between KUs and TUs; (3) quantify group differences in hippocampal subregion volumes; and (4) assess group differences in functional connectivity (FC) of identified subregions and relationships with neurotransmitter receptor distributions. Design: Cross‐sectional case‐control study with cognitive testing and neuroimaging. Setting: Community‐based recruitment in Taiwan. Participants: 58 KUs (44 males; mean age = 21.00 ± 4.57) and 73 TUs (52 males; mean age = 24.34 ± 5.86). Measurements Ketamine‐use patterns (Addiction Severity Index), psychiatric symptoms [Symptom Checklist‐90‐Revised (SCL‐90‐R)], working‐memory (N‐back), affective‐behavioral measures [Barratt Impulsiveness Scale (BIS‐11), Buss and Perry Aggression Questionnaire (BPAQ), Sensitivity to Punishment and Sensitivity to Reward Questionnaire (SPSRQ)], hippocampal subfield volumes (FreeSurfer) and functional connectivity (FC) of identified subregions (seed‐based analysis). Spatial correspondence with N‐methyl‐D‐aspartate (NMDA) receptor density was evaluated using JuSpace. Findings Heavier ketamine use was associated with greater psychological distress [Global Severity Index (GSI) r = 0.343, P = 0.011], particularly anxiety (r = 0.457, P < 0.001) and hostility (r = 0.442, P < 0.001). Although self‐reported impulsivity, aggression and reward/punishment sensitivity did not differ between groups, KUs showed reduced accuracy under higher working‐memory load [2‐back: F(1, 124) = 4.16, P = 0.04, partial η2 = 0.03; 1‐back: F(1, 124) = 8.10, P = 0.005, η2 = 0.06]. KUs displayed reduced left hippocampal volume [F(1, 119) = 4.23, P = 0.04, η2 = 0.03], most marked in the hippocampal‐amygdaloid‐transition‐area [HATA; F(1, 119) = 10.52, P = 0.002, η2 = 0.08]. KUs also showed increased FC between left HATA and frontal, cingulate, temporal, subcortical, insular and cerebellar regions (P < 0.05, AlphaSim corrected), which correlated with NMDA‐receptor distributions (z = 0.30, P = 0.005, false discovery rate corrected). Conclusions: Recreational smoking‐administered ketamine use appears to be associated with dose‐dependent psychiatric symptoms, load‐dependent working memory impairment, selective hippocampal subregion volumetric differences and altered network connectivity aligned with N‐methyl‐D‐aspartate‐ (NMDA) receptor distribution. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Addiction is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/add.70331 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1541 Subjects: – SubjectFull: Brain anatomy Type: general – SubjectFull: Substance abuse Type: general – SubjectFull: Cross-sectional method Type: general – SubjectFull: Statistical power analysis Type: general – SubjectFull: Pearson correlation (Statistics) Type: general – SubjectFull: Ketamine Type: general – SubjectFull: Functional connectivity Type: general – SubjectFull: Research funding Type: general – SubjectFull: Symptom Checklist-90-Revised Type: general – SubjectFull: T-test (Statistics) Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Amygdaloid body Type: general – SubjectFull: Alexithymia Type: general – SubjectFull: Questionnaires Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Chi-squared test Type: general – SubjectFull: Analysis of covariance Type: general – SubjectFull: Magnetic resonance imaging Type: general – SubjectFull: Drug abuse Type: general – SubjectFull: Case-control method Type: general – SubjectFull: Statistics Type: general – SubjectFull: Cognition disorders Type: general – SubjectFull: Psychoses Type: general – SubjectFull: Hippocampus (Brain) Type: general – SubjectFull: Neuroradiology Type: general – SubjectFull: Short-term memory Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Brain mapping Type: general – SubjectFull: Cell receptors Type: general – SubjectFull: Neurotransmitters Type: general – SubjectFull: Taiwan Type: general Titles: – TitleFull: Hippocampal subfield differences in people with and without recreational ketamine use: Insights from multi‐modal neuroimaging. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu, Yi‐Hsuan – PersonEntity: Name: NameFull: Hung, Chia‐Chun – PersonEntity: Name: NameFull: Potenza, Marc N. – PersonEntity: Name: NameFull: Chou, Kun‐Hsien – PersonEntity: Name: NameFull: Lee, Pei‐Lin – PersonEntity: Name: NameFull: Huang, Chu‐Chung – PersonEntity: Name: NameFull: Li, Chiang‐Shan R. – PersonEntity: Name: NameFull: Lee, Tony Szu‐Hsien – PersonEntity: Name: NameFull: Lin, Ching‐Po IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09652140 Numbering: – Type: volume Value: 121 – Type: issue Value: 6 Titles: – TitleFull: Addiction Type: main |
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