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Kushwaha A, Basera DS, Kumari S, Sutar RF, Singh V, Das S, Agrawal A. Assessment of memory deficits in psychiatric disorders: A systematic literature review. J Neurosci Rural Pract 2024; 15:182-193. [PMID: 38746499 PMCID: PMC11090569 DOI: 10.25259/jnrp_456_2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 12/12/2023] [Indexed: 05/16/2024] Open
Abstract
Memory deficits are observed across psychiatric disorders ranging from the prodrome of psychosis to common mental disorders such as anxiety, depression, and dissociative disorders. Memory deficits among patients recovering from psychiatric disorders could be directly related to the primary illness or secondary to the adverse effect of a treatment such as Electroconvulsive Therapy (ECT). The trouble in the meaningful integration of working-memory and episodic memory is the most commonly affected domain that requires routine assessments. An update on the recent trends of methods of assessment of memory deficits is the first step towards understanding and correcting these deficits to target optimum recovery. A systematic literature search was conducted from October 2018 to October 2022 to review the recent methods of assessment of memory deficits in psychiatric disorders. The definition of 'Memory deficit' was operationalized as 'selective processes of memory, commonly required for activities of daily living, and affected among psychiatric disorders resulting in subjective distress and dysfunction'. We included 110 studies, most of them being conducted in western countries on patients with schizophrenia. Other disorders included dementia and mild cognitive impairment. Brief Assessment of Cognition in Schizophrenia, Cambridge Automated Neuropsychological Test Battery, California Verbal Learning Test, Trail Making Test Part A and B, Rey Auditory Verbal Learning Test, Wechsler Memory Scale, Wechsler Adults Intelligence Scale-IV were the most common neuropsychological assessments used. Mini-Mental State Examination and Montreal Cognitive Assessment were the most common bedside assessment tools used while Squire Subjective Memory Questionnaire was commonly used to measure ECT-related memory deficits. The review highlights the recent developments in the field of assessment of memory deficits in psychiatric disorders. Findings recommend and emphasize routine assessment of memory deficits among psychiatric disorders in developing countries especially severe mental illnesses. It remains interesting to see the role of standardized assessments in diagnostic systems given more than a decade of research on memory deficits in psychiatric disorders.
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Affiliation(s)
- Anuradha Kushwaha
- Department of Psychiatry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Devendra Singh Basera
- Department of Psychiatry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Sangita Kumari
- Department of Psychiatry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Roshan Fakirchand Sutar
- Department of Psychiatry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Vijender Singh
- Department of Psychiatry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Saikat Das
- Department of Radiotherapy, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Amit Agrawal
- Department of Neurosurgery, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
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Fisher DW, Dunn JT, Dong H. Distinguishing features of depression in dementia from primary psychiatric disease. DISCOVER MENTAL HEALTH 2024; 4:3. [PMID: 38175420 PMCID: PMC10767128 DOI: 10.1007/s44192-023-00057-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 12/18/2023] [Indexed: 01/05/2024]
Abstract
Depression is a common and devastating neuropsychiatric symptom in the elderly and in patients with dementia. In particular, nearly 80% of patients with Alzheimer's Disease dementia experience depression during disease development and progression. However, it is unknown whether the depression in patients with dementia shares the same molecular mechanisms as depression presenting as primary psychiatric disease or occurs and persists through alternative mechanisms. In this review, we discuss how the clinical presentation and treatment differ between depression in dementia and as a primary psychiatric disease, with a focus on major depressive disorder. Then, we hypothesize several molecular mechanisms that may be unique to depression in dementia such as neuropathological changes, inflammation, and vascular events. Finally, we discuss existing issues and future directions for investigation and treatment of depression in dementia.
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Affiliation(s)
- Daniel W Fisher
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 303 E Chicago Ave, Chicago, IL, 60611, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, 1959 NE Pacific Street, Box 356560, Seattle, WA, 98195, USA
| | - Jeffrey T Dunn
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 303 E Chicago Ave, Chicago, IL, 60611, USA
| | - Hongxin Dong
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 303 E Chicago Ave, Chicago, IL, 60611, USA.
- Department of Neurology, Northwestern University Feinberg School of Medicine, 303 E Chicago Ave, Chicago, IL, 60611, USA.
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Shin MG, Lee YM, Kim YJ, Lee H, Pak K, Choi KU. Learning potential and visuospatial memory could predict amyloid-beta positron emission tomography positivity in amnestic mild cognitive impairment. Psychiatry Res Neuroimaging 2023; 335:111705. [PMID: 37659242 DOI: 10.1016/j.pscychresns.2023.111705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 07/25/2023] [Accepted: 08/17/2023] [Indexed: 09/04/2023]
Abstract
We investigate the role of neuropsychological tests, including the learning potential, in predicting amyloid-beta positron emission tomography (Aβ-PET) status in amnestic mild cognitive impairment (aMCI). This cross-sectional study included 64 patients with aMCI (31 Aβ-PET (-) and 33 (+)) who visited a memory impairment clinic at Pusan National University Hospital between 2014 and 2019. Patients underwent Aβ-PET scans using 18F-florbetaben and the Seoul Neuropsychological Screening Battery. Learning potential was determined based on the difference in scores between the first and third trials of the Seoul Verbal Learning test (SVLT). Binary logistic regression was used to demonstrate the association between Aβ-PET status and cognitive tests. Predictive ability of cognitive tests for Aβ deposition was investigated using receiver operating characteristic curves analysis. From logistic regression models, the SVLT learning potential and Rey-Osterrieth Complex Figure Test (RCFT) delayed recall were found to predict Aβ-PET positivity. The areas under the curve (AUC) of the SVLT learning potential and RCFT delayed recall were significantly different from 0.5. Our findings of an association between Aβ deposition status and learning potential and visuospatial memory suggest that these cognitive tests could be used to screen patients with aMCI for Aβ deposition status.
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Affiliation(s)
- Min-Gwan Shin
- Department of Medicine, Medical College, Pusan National University, Yangsan, Republic of Korea
| | - Young Min Lee
- Department of Psychiatry, Pusan National University School of Medicine, Pusan National University, Busan, Republic of Korea; Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
| | - Yoo Jun Kim
- Department of Psychiatry, Pusan National University School of Medicine, Pusan National University, Busan, Republic of Korea; Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - Hyunji Lee
- Department of Psychiatry, Pusan National University School of Medicine, Pusan National University, Busan, Republic of Korea; Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - Kyoungjune Pak
- Department of Nuclear Medicine, Pusan National University School of Medicine, Pusan National University, Busan, Republic of Korea
| | - Kyung-Un Choi
- Department of Pathology, Pusan National University School of Medicine, Pusan National University, Busan, Republic of Korea
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Loreto F, Gontsarova A, Scott G, Patel N, Win Z, Carswell C, Perry R, Malhotra P. Visual atrophy rating scales and amyloid PET status in an Alzheimer's disease clinical cohort. Ann Clin Transl Neurol 2023; 10:619-631. [PMID: 36872523 PMCID: PMC10109315 DOI: 10.1002/acn3.51749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 02/08/2023] [Accepted: 02/10/2023] [Indexed: 03/07/2023] Open
Abstract
OBJECTIVES Visual rating scales (VRS) are the quantification method closest to the approach used in routine clinical practice to assess brain atrophy. Previous studies have suggested that the medial temporal atrophy (MTA) rating scale is a reliable diagnostic marker for AD, equivalent to volumetric quantification, while others propose a higher diagnostic utility for the Posterior Atrophy (PA) scale in early-onset AD. METHODS Here, we reviewed 14 studies that assessed the diagnostic accuracy of PA and MTA, we explored the issue of cut-off heterogeneity, and assessed 9 rating scales in a group of patients with biomarker-confirmed diagnosis. A neuroradiologist blinded to all clinical information rated the MR images of 39 amyloid-positive and 38 amyloid-negative patients using 9 validated VRS assessing multiple brain regions. Automated volumetric analyses were performed on a subset of patients (n = 48) and on a group of cognitively normal individuals (n = 28). RESULTS No single VRS could differentiate amyloid-positive from amyloid-negative patients with other neurodegenerative conditions. 44% of amyloid-positive patients were deemed to have age-appropriate levels of MTA. In the amyloid-positive group, 18% had no abnormal MTA or PA scores. These findings were substantially affected by cut-off selection. Amyloid-positive and amyloid-negative patients had comparable hippocampal and parietal volumes, and MTA but not PA scores correlated with the respective volumetric measures. INTERPRETATION Consensus guidelines are needed before VRS can be recommended for use in the diagnostic workup of AD. Our data are suggestive of high intragroup variability and non-superiority of volumetric quantification of atrophy over visual assessment.
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Affiliation(s)
- Flavia Loreto
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK
| | | | - Gregory Scott
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK.,UK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, London, UK
| | - Neva Patel
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London, UK
| | - Zarni Win
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London, UK
| | | | - Richard Perry
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK.,Department of Neurology, Imperial College Healthcare NHS Trust, London, UK
| | - Paresh Malhotra
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK.,UK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, London, UK.,Department of Neurology, Imperial College Healthcare NHS Trust, London, UK
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Loftus JR, Puri S, Meyers SP. Multimodality imaging of neurodegenerative disorders with a focus on multiparametric magnetic resonance and molecular imaging. Insights Imaging 2023; 14:8. [PMID: 36645560 PMCID: PMC9842851 DOI: 10.1186/s13244-022-01358-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 12/13/2022] [Indexed: 01/17/2023] Open
Abstract
Neurodegenerative diseases afflict a large number of persons worldwide, with the prevalence and incidence of dementia rapidly increasing. Despite their prevalence, clinical diagnosis of dementia syndromes remains imperfect with limited specificity. Conventional structural-based imaging techniques also lack the accuracy necessary for confident diagnosis. Multiparametric magnetic resonance imaging and molecular imaging provide the promise of improving specificity and sensitivity in the diagnosis of neurodegenerative disease as well as therapeutic monitoring of monoclonal antibody therapy. This educational review will briefly focus on the epidemiology, clinical presentation, and pathologic findings of common and uncommon neurodegenerative diseases. Imaging features of each disease spanning from conventional magnetic resonance sequences to advanced multiparametric methods such as resting-state functional magnetic resonance imaging and arterial spin labeling imaging will be described in detail. Additionally, the review will explore the findings of each diagnosis on molecular imaging including single-photon emission computed tomography and positron emission tomography with a variety of clinically used and experimental radiotracers. The literature and clinical cases provided demonstrate the power of advanced magnetic resonance imaging and molecular techniques in the diagnosis of neurodegenerative diseases and areas of future and ongoing research. With the advent of combined positron emission tomography/magnetic resonance imaging scanners, hybrid protocols utilizing both techniques are an attractive option for improving the evaluation of neurodegenerative diseases.
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Affiliation(s)
- James Ryan Loftus
- grid.412750.50000 0004 1936 9166Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14642 USA
| | - Savita Puri
- grid.412750.50000 0004 1936 9166Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14642 USA
| | - Steven P. Meyers
- grid.412750.50000 0004 1936 9166Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14642 USA
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Loreto F, Fitzgerald A, Golemme M, Gunning S, Win Z, Patel N, Carswell C, Perry R, Kennedy A, Edison P, Malhotra P. Prevalence of Depressive Symptoms in a Memory Clinic Cohort: A Retrospective Study. J Alzheimers Dis 2022; 88:1179-1187. [PMID: 35754270 DOI: 10.3233/jad-220170] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Depression has been suggested to be a cause of reversible cognitive impairment but also a risk factor for neurodegenerative disease. Studies suggest that depression prevalence may be high in early onset dementia, particularly Alzheimer's disease, but this has not been systematically assessed in a biomarker-validated clinical dementia cohort to date. OBJECTIVE To examine the prevalence, features, and association with amyloid pathology of lifetime depressive symptoms in a memory clinic cohort meeting appropriate use criteria for amyloid PET imaging. METHODS We included 300 patients from a single-center memory clinic cohort that received diagnostic biomarker evaluation with amyloid PET imaging according to appropriate use criteria. History of lifetime depressive symptoms was retrospectively assessed through structured review of clinical correspondence. RESULTS One hundred forty-two (47%) patients had a history of significant depressive symptoms ('D+'). Of these, 89% had ongoing symptoms and 60% were on antidepressants at the time of presentation to our Clinic. Depressive symptoms were equally highly prevalent in the amyloid-positive and the heterogeneous group of amyloid-negative patients. CONCLUSION Approximately half of patients who meet appropriate use criteria for amyloid PET had a history of depressive symptoms. We suggest that depression is an important feature of both neurodegenerative and non-neurodegenerative cognitive impairment and may contribute to the diagnostic uncertainty behind referral to amyloid PET.
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Affiliation(s)
- Flavia Loreto
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Anna Fitzgerald
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Mara Golemme
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK.,UK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, UK
| | - Stephen Gunning
- Department of Neuropsychology, Imperial College Healthcare NHS Trust, London, UK
| | - Zarni Win
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London, UK
| | - Neva Patel
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London, UK
| | | | - Richard Perry
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK.,Department of Neurology, Imperial College Healthcare NHS Trust, London, UK
| | - Angus Kennedy
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK
| | - Paul Edison
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Paresh Malhotra
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK.,Department of Neurology, Imperial College Healthcare NHS Trust, London, UK.,UK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, UK
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