Assessing glymphatic function in schizophrenia and mood disorders: Insights from a diffusion tensor image along the perivascular space (DTI‐ALPS) and neuroanatomical correlations.

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Title: Assessing glymphatic function in schizophrenia and mood disorders: Insights from a diffusion tensor image along the perivascular space (DTI‐ALPS) and neuroanatomical correlations.
Authors: Zhu, Jun‐Ding (AUTHOR), Liao, Ding‐Lieh (AUTHOR), Lin, Ching‐Po (AUTHOR), Yang, Albert C. (AUTHOR), Tsai, Hsin‐Jung (AUTHOR), Chang, Hsin‐I (AUTHOR), Chang, Chiung‐Chih (AUTHOR), Huang, Cheng‐Yi (AUTHOR), Tsai, Shih‐Jen (AUTHOR)
Source: Psychiatry & Clinical Neurosciences. Mar2026, Vol. 80 Issue 3, p215-223. 9p.
Subjects: Diffusion tensor imaging, Biomarkers, Brain anatomy, Affective disorders, Schizophrenia, Cognitive ability, Gray matter (Nerve tissue)
Abstract: Aim: This study compared the diffusion tensor image along the perivascular space (DTI‐ALPS) index among individuals with schizophrenia, bipolar disorder (BD), major depressive disorder (MDD), and normal controls. We also examined associations between the ALPS index, gray matter volume (GMV), cognitive performance, and clinical symptom severity to evaluate its potential as a biomarker of neurobiological alterations in psychiatric disorders. Methods: Participants were recruited from the Taiwan Aging and Mental Illness cohort. Group differences in ALPS indices were tested with analysis of covariance (ANCOVA) controlling for age and sex. General linear regression assessed correlations between ALPS indices and GMV. We performed partial correlations to evaluate the associations between ALPS indices and cognitive tests, as well as clinical symptoms. Results: All psychiatric groups showed significantly lower ALPS indices compared with normal controls, with schizophrenia exhibiting the greatest reduction. Higher ALPS indices in schizophrenia were associated with larger GMV in the bilateral cerebellum and fusiform gyri and with better cognitive performance. In the BD group, the ALPS index was positively associated with left hippocampal volume and cognitive test and negatively associated with depression and anxiety severity. The MDD group showed a reduced ALPS index but did not exhibit significant associations with GMV or cognitive tests. Conclusion: The ALPS index may reflect glymphatic dysfunction across psychiatric disorders and relate to brain structure and clinical characteristics. These findings support its potential as an indirect biomarker of neurobiological alterations. Further research using direct glymphatic imaging is needed to clarify the mechanistic role of glymphatic function in psychiatric disorders. [ABSTRACT FROM AUTHOR]
Copyright of Psychiatry & Clinical Neurosciences 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
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  Data: Assessing glymphatic function in schizophrenia and mood disorders: Insights from a diffusion tensor image along the perivascular space (DTI‐ALPS) and neuroanatomical correlations.
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  Data: <searchLink fieldCode="AR" term="%22Zhu%2C+Jun‐Ding%22">Zhu, Jun‐Ding</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liao%2C+Ding‐Lieh%22">Liao, Ding‐Lieh</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Ching‐Po%22">Lin, Ching‐Po</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Albert+C%2E%22">Yang, Albert C.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tsai%2C+Hsin‐Jung%22">Tsai, Hsin‐Jung</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chang%2C+Hsin‐I%22">Chang, Hsin‐I</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chang%2C+Chiung‐Chih%22">Chang, Chiung‐Chih</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Cheng‐Yi%22">Huang, Cheng‐Yi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tsai%2C+Shih‐Jen%22">Tsai, Shih‐Jen</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Psychiatry+%26+Clinical+Neurosciences%22">Psychiatry & Clinical Neurosciences</searchLink>. Mar2026, Vol. 80 Issue 3, p215-223. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Diffusion+tensor+imaging%22">Diffusion tensor imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Biomarkers%22">Biomarkers</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+anatomy%22">Brain anatomy</searchLink><br /><searchLink fieldCode="DE" term="%22Affective+disorders%22">Affective disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Schizophrenia%22">Schizophrenia</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+ability%22">Cognitive ability</searchLink><br /><searchLink fieldCode="DE" term="%22Gray+matter+%28Nerve+tissue%29%22">Gray matter (Nerve tissue)</searchLink>
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  Data: Aim: This study compared the diffusion tensor image along the perivascular space (DTI‐ALPS) index among individuals with schizophrenia, bipolar disorder (BD), major depressive disorder (MDD), and normal controls. We also examined associations between the ALPS index, gray matter volume (GMV), cognitive performance, and clinical symptom severity to evaluate its potential as a biomarker of neurobiological alterations in psychiatric disorders. Methods: Participants were recruited from the Taiwan Aging and Mental Illness cohort. Group differences in ALPS indices were tested with analysis of covariance (ANCOVA) controlling for age and sex. General linear regression assessed correlations between ALPS indices and GMV. We performed partial correlations to evaluate the associations between ALPS indices and cognitive tests, as well as clinical symptoms. Results: All psychiatric groups showed significantly lower ALPS indices compared with normal controls, with schizophrenia exhibiting the greatest reduction. Higher ALPS indices in schizophrenia were associated with larger GMV in the bilateral cerebellum and fusiform gyri and with better cognitive performance. In the BD group, the ALPS index was positively associated with left hippocampal volume and cognitive test and negatively associated with depression and anxiety severity. The MDD group showed a reduced ALPS index but did not exhibit significant associations with GMV or cognitive tests. Conclusion: The ALPS index may reflect glymphatic dysfunction across psychiatric disorders and relate to brain structure and clinical characteristics. These findings support its potential as an indirect biomarker of neurobiological alterations. Further research using direct glymphatic imaging is needed to clarify the mechanistic role of glymphatic function in psychiatric disorders. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Psychiatry & Clinical Neurosciences 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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        Value: 10.1111/pcn.70016
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      – SubjectFull: Brain anatomy
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      – SubjectFull: Gray matter (Nerve tissue)
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              Text: Mar2026
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