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Zhao H, Wang F, Luo GH, Lei H, Peng F, Ren QP, Chen W, Wu YF, Yin LC, Liu JC, Pan SN. Assessment of structural brain changes in patients with type 2 diabetes mellitus using the MRI-based brain atrophy and lesion index. Neural Regen Res 2022; 17:618-624. [PMID: 34380902 PMCID: PMC8504365 DOI: 10.4103/1673-5374.320996] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Patients with type 2 diabetes mellitus (T2DM) often have cognitive impairment and structural brain abnormalities. The magnetic resonance imaging (MRI)-based brain atrophy and lesion index can be used to evaluate common brain changes and their correlation with cognitive function, and can therefore also be used to reflect whole-brain structural changes related to T2DM. A total of 136 participants (64 men and 72 women, aged 55–86 years) were recruited for our study between January 2014 and December 2016. All participants underwent MRI and Mini-Mental State Examination assessment (including 42 healthy control, 38 T2DM without cognitive impairment, 26 with cognitive impairment but without T2DM, and 30 T2DM with cognitive impairment participants). The total and sub-category brain atrophy and lesion index scores in patients with T2DM with cognitive impairment were higher than those in healthy controls. Differences in the brain atrophy and lesion index of gray matter lesions and subcortical dilated perivascular spaces were found between non-T2DM patients with cognitive impairment and patients with T2DM and cognitive impairment. After adjusting for age, the brain atrophy and lesion index retained its capacity to identify patients with T2DM with cognitive impairment. These findings suggest that the brain atrophy and lesion index, based on T1-weighted and T2-weighted imaging, is of clinical value for identifying patients with T2DM and cognitive impairment. Gray matter lesions and subcortical dilated perivascular spaces may be potential diagnostic markers of T2DM that is complicated by cognitive impairment. This study was approved by the Medical Ethics Committee of University of South China (approval No. USC20131109003) on November 9, 2013, and was retrospectively registered with the Chinese Clinical Trial Registry (registration No. ChiCTR1900024150) on June 27, 2019.
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Affiliation(s)
- Heng Zhao
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province; Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Fang Wang
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Guang-Hua Luo
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Hao Lei
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Fei Peng
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Qiu-Ping Ren
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Wei Chen
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Yan-Fang Wu
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Li-Chun Yin
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Jin-Cai Liu
- Department of Radiology, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China
| | - Shi-Nong Pan
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China
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Dols A, Bouckaert F, Sienaert P, Rhebergen D, Vansteelandt K, Ten Kate M, de Winter FL, Comijs HC, Emsell L, Oudega ML, van Exel E, Schouws S, Obbels J, Wattjes M, Barkhof F, Eikelenboom P, Vandenbulcke M, Stek ML. Early- and Late-Onset Depression in Late Life: A Prospective Study on Clinical and Structural Brain Characteristics and Response to Electroconvulsive Therapy. Am J Geriatr Psychiatry 2017; 25:178-189. [PMID: 27771245 DOI: 10.1016/j.jagp.2016.09.005] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2016] [Revised: 09/14/2016] [Accepted: 09/15/2016] [Indexed: 11/28/2022]
Abstract
OBJECTIVE The clinical profile of late-life depression (LLD) is frequently associated with cognitive impairment, aging-related brain changes, and somatic comorbidity. This two-site naturalistic longitudinal study aimed to explore differences in clinical and brain characteristics and response to electroconvulsive therapy (ECT) in early- (EOD) versus late-onset (LOD) late-life depression (respectively onset <55 and ≥55 years). METHODS Between January 2011 and December 2013, 110 patients aged 55 years and older with ECT-treated unipolar depression were included in The Mood Disorders in Elderly treated with ECT study. Clinical profile and somatic health were assessed. Magnetic resonance imaging (MRI) scans were performed before the first ECT and visually rated. RESULTS Response rate was 78.2% and similar between the two sites but significantly higher in LOD compared with EOD (86.9 versus 67.3%). Clinical, somatic, and brain characteristics were not different between EOD and LOD. Response to ECT was associated with late age at onset and presence of psychotic symptoms and not with structural MRI characteristics. In EOD only, the odds for a higher response were associated with a shorter index episode. CONCLUSION The clinical profile, somatic comorbidities, and brain characteristics in LLD were similar in EOD and LOD. Nevertheless, patients with LOD showed a superior response to ECT compared with patients with EOD. Our results indicate that ECT is very effective in LLD, even in vascular burdened patients.
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Affiliation(s)
- Annemiek Dols
- Department of Old Age Psychiatry, GGZ inGeest, VU University Medical Center, Amsterdam, The Netherlands; EMGO+ Institute of Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.
| | - Filip Bouckaert
- Old-age Psychiatry, University Psychiatric Center KU Leuven, Leuven/Kortenberg, Belgium; Academic Center for ECT and Neuromodulation, University Psychiatric Center KU Leuven, Leuven/Kortenberg, Belgium
| | - Pascal Sienaert
- Academic Center for ECT and Neuromodulation, University Psychiatric Center KU Leuven, Leuven/Kortenberg, Belgium
| | - Didi Rhebergen
- Department of Old Age Psychiatry, GGZ inGeest, VU University Medical Center, Amsterdam, The Netherlands; EMGO+ Institute of Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Kristof Vansteelandt
- Department of Psychiatry, University Psychiatric Center KU Leuven, Leuven/Kortenberg, Belgium; Research Group of Quantitative Psychology and Individual Differences, University Psychiatric Center KU Leuven, Leuven/Kortenberg, Belgium
| | - Mara Ten Kate
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | | | - Hannie C Comijs
- Department of Old Age Psychiatry, GGZ inGeest, VU University Medical Center, Amsterdam, The Netherlands; EMGO+ Institute of Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Louise Emsell
- Old-age Psychiatry, University Psychiatric Center KU Leuven, Leuven/Kortenberg, Belgium; Translational MRI, Department of Imaging and Pathology, KU Leuven & Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Mardien L Oudega
- Department of Old Age Psychiatry, GGZ inGeest, VU University Medical Center, Amsterdam, The Netherlands; EMGO+ Institute of Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Eric van Exel
- Department of Old Age Psychiatry, GGZ inGeest, VU University Medical Center, Amsterdam, The Netherlands; EMGO+ Institute of Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Sigfried Schouws
- Department of Old Age Psychiatry, GGZ inGeest, VU University Medical Center, Amsterdam, The Netherlands; EMGO+ Institute of Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Jasmien Obbels
- Academic Center for ECT and Neuromodulation, University Psychiatric Center KU Leuven, Leuven/Kortenberg, Belgium
| | - Mike Wattjes
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - Piet Eikelenboom
- Department of Old Age Psychiatry, GGZ inGeest, VU University Medical Center, Amsterdam, The Netherlands
| | - Mathieu Vandenbulcke
- Old-age Psychiatry, University Psychiatric Center KU Leuven, Leuven/Kortenberg, Belgium
| | - Max L Stek
- Department of Old Age Psychiatry, GGZ inGeest, VU University Medical Center, Amsterdam, The Netherlands; EMGO+ Institute of Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
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