Effects of Antipsychotic Medications and Illness Duration on Brain Features That Distinguish Schizophrenia Patients. (4th August 2022)
- Record Type:
- Journal Article
- Title:
- Effects of Antipsychotic Medications and Illness Duration on Brain Features That Distinguish Schizophrenia Patients. (4th August 2022)
- Main Title:
- Effects of Antipsychotic Medications and Illness Duration on Brain Features That Distinguish Schizophrenia Patients
- Authors:
- Zeng, Jiaxin
Zhang, Wenjing
Wu, Guorong
Wang, Xiaowan
Shah, Chandan
Li, Siyi
Xiao, Yuan
Yao, Li
Cao, Hengyi
Li, Zhenlin
Sweeney, John A
Lui, Su
Gong, Qiyong - Abstract:
- Abstract: Background and Hypothesis: Previous studies have reported effects of antipsychotic treatment and illness duration on brain features. This study used a machine learning approach to examine whether these factors in aggregate impacted the utility of MRI features for differentiating individual schizophrenia patients from healthy controls. Study Design: This case-control study used patients with never-treated first-episode schizophrenia (FES, n = 179) and long-term ill schizophrenia (LTSZ, n = 30), with follow-up of the FES group after treatment ( n = 71), a group of patients who had received long-term antipsychotic treatment ( n = 93) and age and sex-matched healthy controls ( n = 373) for each patient group. A multiple kernel learning classifier combining both structural and functional brain features was used to discriminate individual patients from controls. Study Results: MRI features differentiated untreated FES (0.73) and LTSZ (0.83) patients from healthy controls with moderate accuracy, but accuracy was significantly higher in antipsychotic-treated FES (0.94) and LTSZ (0.98) patients. Treatment was associated with significantly increased accuracy of case identification in both early course and long-term ill patients (both p < .001). Effects of illness duration, examined separately in treated and untreated patients, were less robust. Conclusions: Our results demonstrate that initiation of antipsychotic treatment alters brain features in ways that furtherAbstract: Background and Hypothesis: Previous studies have reported effects of antipsychotic treatment and illness duration on brain features. This study used a machine learning approach to examine whether these factors in aggregate impacted the utility of MRI features for differentiating individual schizophrenia patients from healthy controls. Study Design: This case-control study used patients with never-treated first-episode schizophrenia (FES, n = 179) and long-term ill schizophrenia (LTSZ, n = 30), with follow-up of the FES group after treatment ( n = 71), a group of patients who had received long-term antipsychotic treatment ( n = 93) and age and sex-matched healthy controls ( n = 373) for each patient group. A multiple kernel learning classifier combining both structural and functional brain features was used to discriminate individual patients from controls. Study Results: MRI features differentiated untreated FES (0.73) and LTSZ (0.83) patients from healthy controls with moderate accuracy, but accuracy was significantly higher in antipsychotic-treated FES (0.94) and LTSZ (0.98) patients. Treatment was associated with significantly increased accuracy of case identification in both early course and long-term ill patients (both p < .001). Effects of illness duration, examined separately in treated and untreated patients, were less robust. Conclusions: Our results demonstrate that initiation of antipsychotic treatment alters brain features in ways that further distinguish individual schizophrenia patients from healthy individuals, and have a modest effect of illness duration. Intrinsic illness-related brain alterations in untreated patients, regardless of illness duration, are not sufficiently robust for accurate identification of schizophrenia patients. … (more)
- Is Part Of:
- Schizophrenia bulletin. Volume 48:Number 6(2022)
- Journal:
- Schizophrenia bulletin
- Issue:
- Volume 48:Number 6(2022)
- Issue Display:
- Volume 48, Issue 6 (2022)
- Year:
- 2022
- Volume:
- 48
- Issue:
- 6
- Issue Sort Value:
- 2022-0048-0006-0000
- Page Start:
- 1354
- Page End:
- 1362
- Publication Date:
- 2022-08-04
- Subjects:
- schizophrenia -- antipsychotic drugs -- machine learning -- illness duration -- brain imaging
Schizophrenia -- Periodicals
Schizophrenia -- Research -- Periodicals
616.898005 - Journal URLs:
- http://schizophreniabulletin.oxfordjournals.org ↗
http://schizophreniabulletin.oxfordjournals.org/archive ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/schbul/sbac094 ↗
- Languages:
- English
- ISSNs:
- 0586-7614
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8089.400000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24806.xml