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OBJECTIVES: We explored the influence of study partner (SP) characteristics on SP-reported neuropsychiatric symptoms (NPS) presence across the neurocognitive spectrum and on the prognostic utility of mild behavioral impairment (MBI). DESIGN, SETTING, AND PARTICIPANTS: We performed cross-sectional (n = 26,748) and longitudinal (n = 12,794) analyses using participant-SP dyad data from the National Alzheimer's Coordinating Center. Participants were cognitively normal (CN; n = 11,951) or had mild cognitive impairment (MCI; n = 5686) or dementia (n = 9111). MEASUREMENTS: SPs rated NPS using the Neuropsychiatric Inventory Questionnaire. We used multivariable logistic regression to model the association between SP characteristics (age, sex, and relationship to participant [spouse, child, and other]) and NPS status (outcome). Cox regressions assessed SP characteristics as moderators of MBI associations with incident dementia or as predictors of incident dementia in MBI + participants only. RESULTS: Among CN persons, younger, female, and spouse SPs reported NPS more frequently. In MCI, younger SPs and those who were spouses or children of participants reported higher NPS odds. For dementia participants, NPS odds were higher in female and spouse SPs. MBI associations with incident dementia were slightly weaker when SPs were older but did not depend on SP sex or relationship to participant. Among MBI + participants with spouse or child SPs, hazard for dementia was higher when compared to MBI + participants with other SPs. CONCLUSIONS: SP age, sex, and relationship to participant influence NPS reporting across the neurocognitive spectrum, with potential implications for MBI prognosis. Considering SP characteristics may enhance the accuracy of NPS assessments, which may facilitate therapy planning and prognosis.

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Neuropsychiatric symptoms (NPS) are risk factors for Alzheimer's disease (AD) but can also manifest secondary to AD pathology. Mild behavioral impairment (MBI) refers to later-life emergent and persistent NPS that may mark early-stage AD. To distinguish MBI from NPS that are transient or which represent psychiatric conditions (non-MBI NPS), we investigated the effect of applying MBI criteria on NPS associations with AD structural imaging biomarkers and incident cognitive decline. Data for participants (n = 1273) with normal cognition (NC) or mild cognitive impairment (MCI) in the National Alzheimer's Coordinating Center Uniform Data Set were analyzed. NPS status (MBI, non-MBI NPS) was derived from the Neuropsychiatric Inventory Questionnaire and psychiatric history. Normalized measures of bilateral hippocampal (HPC) and entorhinal cortex (EC) volume, and AD meta-region of interest (ROI) mean cortical thickness were acquired from T1-weighted magnetic resonance imaging scans. Multivariable linear and Cox regressions examined NPS associations with imaging biomarkers and incident cognitive decline, respectively. MBI was associated with lower volume and cortical thickness in all ROIs in both NC and MCI, except for EC volume in NC. Non-MBI NPS were only associated with lower HPC volume in NC. Although both of the NPS groups showed higher hazards for MCI/dementia than No NPS, MBI participants showed more rapid decline. Although both types of NPS were linked to HPC atrophy, only NPS that emerged and persisted in later-life, consistent with MBI criteria, were related to AD neurodegenerative patterns beyond the HPC. Moreover, MBI predicted faster progression to dementia than non-MBI NPS.

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Background: To ensure adequate treatment, individuals with delirium superimposed on dementia (DSD) need to be differentiated reliably from those with dementia only (DO). Therefore, we aimed to examine the clinical indicators of DSD by assessing motor subtypes, cognitive performance and neuropsychiatric symptoms in DSD and DO patients. Methods: Cross-sectional design with the Delirium-Motor-Subtyping Scale (DMSS), Mini-Mental-State-Examination (MMSE), Clock-Drawing-Test (CDT), DemTect, and Neuropsychiatric Inventory assessed after admission to an acute hospital. Results: 94 patients were included, 43 with DSD (78 ± 7 years, MMSE = 11 ± 9) and 51 with DO (79 ± 7 years, MMSE = 9 ± 8). DMSS "no subtype" was more common in the DO group (26% vs. 10%, p = .04). The DSD group showed lower CDT scores (DSD: M = 4 ± 3 vs. DO: M = 6 ± 1; p < .001) and higher anxiety (DSD: MED = 3 ± 8 vs. DO: MED = 3 ± 4; p = .01) and sleep/night-time behavior disturbances (DSD: MED = 0 ± 6 vs. DO: MED = 0 ± 0; p = .02). Conclusions: Sleep/night-time behavior disturbances appear to be a clinical indicator of DSD. Motor subtypes can identify cases at increased risk of developing delirium or unrecognized delirium. Clinical trial registration: https://drks.de/search/de/trial/DRKS00025439, identifier DRKS00025439.

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BACKGROUND: Cobalamin C is the most common inborn error of intracellular cobalamin metabolism caused by biallelic pathogenic variants in the MMACHC gene, leading to impaired conversion of dietary vitamin B12 into its two metabolically active forms, methylcobalamin and adenosylcobalamin. Biochemical hallmarks are elevated plasma total homocysteine (HCYs) and low methionine accompanied by methylmalonic aciduria. This study aimed to evaluate the clinical, biochemical, and molecular analysis of Pakistani patients with CblC defect. METHODS: Medical charts, urine organic acid (UOA) chromatograms, plasma amino acid levels, plasma tHcy and MMACHC gene results of patients presenting at the Biochemical Genetics Clinic, AKUH from 2013-2021 were reviewed. Details were collected on a pre-structured questionnaire. SPSS 22 was used for data analysis. RESULTS: CblC was found in 33 cases (Male:Female 19:14). The median age of symptoms onset and diagnosis were 300 (IQR:135-1800) and 1380 (IQR: 240-2730) days. The most common clinical features were cognitive impairment (n = 29), seizures (n = 23), motor developmental delay (n = 20), hypotonia (n = 17), and sparse/hypopigmented scalp hair (n = 16). The MMACHC gene sequencing revealed homozygous pathogenic variant c.394C > T, (p.Arg132*) in 32 patients, whereas c.609G > A, (p.TRP203*) in one patient whose ancestors had settled in Pakistan from China decades ago. The median age of treatment initiation was 1530 (IQR: 240-2790). The median pre-treatment HCYs levels were 134 (IQR:87.2-155.5) compared to post-treatment levels of 33.3 (IQR: 27.3-44.95) umol/L. CONCLUSIONS: Thirty-three cases of CblC defect from a single center underscores a significant number of the disorder within Pakistan. Late diagnosis emphasizes the need for increased clinical awareness and adequate diagnostic facilities.

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OBJECTIVE: The study aimed to evaluate the impact of Botulinum toxin A (BoNT/A) on neuropsychiatric symptoms in Parkinson's disease (PD) patients. METHODS: A total of 125 PD patients and an equal number of age- and gender-matched healthy controls were involved. Mental health status was assessed using the Cornell Medical Index (CMI) self-assessment questionnaire. Sixty-four PD patients exhibiting neuropsychiatric symptoms were selected for the controlled study and randomly grouped into treatment and control groups. The treatment group received BoNT/A injections, while the control group received a placebo. The primary outcome measures included depression scores from the CMI and the proportion of patients displaying improvement in neuropsychiatric symptoms at 8 weeks post-treatment. The secondary outcome was other CMI scores at 4, 8, and 12 weeks post-treatment. RESULTS: The outcomes revealed that PD patients had significantly higher scores in various neuropsychiatric factors compared to healthy controls. At 4 weeks post-treatment, the treatment group displayed improvements in depression and tension. At 8 weeks post-treatment, they exhibited significant reductions in depression, anxiety, sensitivity, and tension compared to the control group. Moreover, a notably higher percentage of patients in the treatment group showed improvement in neuropsychiatric symptoms compared to the control group. At 12 weeks post-treatment, the treatment group exhibited significant improvements in somatization, depression, sensitivity, and tension. CONCLUSION: PD patients commonly experience multiple neuropsychiatric symptoms, and BoNT/A has demonstrated efficacy in alleviating these symptoms. Specifically, BoNT/A was found to effectively alleviate somatization, tension, anxiety, depression, and sensitivity in PD patients.

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BACKGROUND: While several studies in cerebral amyloid angiopathy (CAA) focus on cognitive function, data on neuropsychiatric symptoms (NPS) and lifelong mental activities in these patients are scarce. Since NPS are associated with functional impairment, faster cognitive decline and faster progression to death, replication studies in more diverse settings and samples are warranted. METHODS: We prospectively recruited n = 69 CAA patients and n = 18 cognitively normal controls (NC). The number and severity of NPS were assessed using the Alzheimer's Disease (AD) Assessment Scale's (ADAS) noncognitive subscale. We applied different regression models exploring associations between NPS number or severity and group status (CAA vs. NC), CAA severity assessed with magnetic resonance imaging (MRI) or cognitive function (Mini-Mental State Examination (MMSE), ADAS cognitive subscale), adjusting for age, sex, years of education, arterial hypertension, AD pathology, and apolipoprotein E status. Mediation analyses were performed to test indirect effects of lifelong mental activities on CAA severity and NPS. RESULTS: Patients with CAA had 4.86 times (95% CI 2.20-10.73) more NPS and 3.56 units (95% CI 1.94-5.19) higher expected NPS severity than NC. Higher total CAA severity on MRI predicted 1.14 times (95% CI 1.01.-1.27) more NPS and 0.57 units (95% CI 0.19-0.95) higher expected NPS severity. More severe white matter hyperintensities were associated with 1.21 times more NPS (95% CI 1.05-1.39) and 0.63 units (95% CI 0.19-1.08) more severe NPS. NPS number (MMSE mean difference - 1.15, 95% CI -1.67 to -0.63; ADAS cognitive mean difference 1.91, 95% CI 1.26-2.56) and severity (MMSE - 0.55, 95% CI -0.80 to -0.30; ADAS cognitive mean difference 0.89, 95% CI 0.57-1.21) predicted lower cognitive function. Greater lifelong mental activities partially mediated the relationship between CAA severity and NPS (indirect effect 0.05, 95% CI 0.0007-0.13), and greater lifelong mental activities led to less pronounced CAA severity and thus to less NPS (indirect effect - 0.08, 95% CI -0.22 to -0.002). DISCUSSION: This study suggests that NPS are common in CAA, and that this relationship may be driven by CAA severity. Furthermore, NPS seem to be tied to lower cognitive function. However, lifelong mental activities might mitigate the impact of NPS in CAA.

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Multiple sclerosis (MS) is the most common chronic demyelinating disease affecting the central nervous system (CNS) and is distinguished by neuroinflammation and neurodegeneration. It has four categories based on clinical course, with relapsing-remitting being the most common type. MS predominantly manifests with motor and sensory dysfunctions. However, neuropsychiatric manifestations such as depression, anxiety, schizophrenia, and bipolar disorder are not uncommon. Various factors may contribute to the development of these manifestations; therefore, this study aimed to unravel them. This systematic review implemented the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Five databases (PubMed, PubMed Central (PMC), ScienceDirect, Cochrane Library, and Google Scholar) were used to acquire articles published in the past five years. After screening and quality appraisal were completed, eight articles were deemed eligible for inclusion in this study. The study designs included cohort, cross-sectional, randomized-controlled trial (RCT), case report, case-control, and narrative review. The development of neuropsychiatric manifestations in persons with MS is influenced by various factors. These were categorized into morphological changes of the brain, immunological mechanisms, socioeconomic factors, and individual factors for discussion. Each factor was found to intermingle with the others, requiring further research to understand the features that each factor contributes. This is crucial for improving the quality of life (QOL) and prognosis for persons living with MS.

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Childhood dementias are a group of rare, fatal neurodegenerative disorders, characterised by global cognitive decline, loss of previously acquired developmental skills and behaviours and psychological symptoms of dementia (BPSD). Batten disease, or neuronal ceroid lipofuscinosis, and Sanfilippo syndrome, or mucopolysaccharidosis type III, are two of the more common forms of childhood dementia disorders worldwide. While psychosocial interventions are the best available therapeutic approach for BPSD management in adult-onset dementia, there is very limited literature or clinical experience in the context of childhood dementia. To address this gap, we conducted a descriptive case analysis of BPSD profiles, associated contributing factors and targeted psychosocial interventions in two cases with childhood dementia disorders (Sanfilippo syndrome and CLN3 (juvenile onset) Batten disease) who were referred to Dementia Support Australia, a national dementia behaviour support service in Australia. Primary BPSD identified in these disorders included physical and verbal aggression and irritability/lability. In these cases, contributing factors to the development of BPSD were not monolithic, encompassing pain, caregiver's approach and over or under-stimulation. Improvement in BPSD were observed using the Neuropsychiatric Inventory-Quesionnaire and globally noted as per the qualitative feedback reported by family and caregivers. Person-centred, multimodal psychosocial interventions were recognised as effective therapies in resolving BPSD in these cases. In conclusion, the case studies described the nature and presentation of BPSD in two common forms of childhood dementia and demonstrated the potential benefits of person-centred psychosocial interventions (delivered through national dementia-specific support programs) in alleviating BPSD such as irritability and aggression in these disorders.

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Motor dysfunction, which includes changes in gait, balance, and/or functional mobility, is a lesser-known feature of Alzheimer's Disease (AD), especially as it relates to the development of neuropsychiatric symptoms (NPS). This study (1) compared rates of NPS between autopsy-confirmed AD patients with and without early-onset motor dysfunction and (2) compared rates of non-AD dementia autopsy pathology (Lewy Body disease, Frontotemporal Lobar degeneration) between these groups. This retrospective longitudinal cohort study utilized National Alzheimer's Coordinating Center (NACC) data. Participants (N = 856) were required to have moderate-to-severe autopsy-confirmed AD, Clinical Dementia Rating-Global scores of ≤1 at their index visit, and NPS and clinician-rated motor data. Early motor dysfunction was associated with significantly higher NPI-Q total scores (T = 4.48, p < .001) and higher odds of delusions (OR [95%CI]: 1.73 [1.02-2.96]), hallucinations (2.45 [1.35-4.56]), depression (1.51 [1.11-2.06]), irritability (1.50 [1.09-2.08]), apathy (1.70 [1.24-2.36]), anxiety (1.38 [1.01-1.90]), nighttime behaviors (1.98 [1.40-2.81]), and appetite/eating problems (1.56 [1.09-2.25]). Early motor dysfunction was also associated with higher Lewy Body disease pathology (1.41 [1.03-1.93]), but not Frontotemporal Lobar degeneration (1.10 [0.71-1.69]), on autopsy. Our results suggest that motor symptoms in early AD are associated with a higher number and severity of NPS, which may be partially explained by comorbid non-AD neuropathology.

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OBJECTIVE: Neuropsychiatric symptoms (NPSs) have been linked to cognitive decline. This study explored ethnic differences and the effects of baseline NPSs on incident mild cognitive impairment (MCI) among 386 Hispanic and non-Hispanic participants from the Texas Harris Alzheimer's Research Study. METHODS: Data on NPSs from the Neuropsychiatric Inventory Questionnaire were available for all participants. Cox proportional hazards regression models were used to estimate the effect of ≥1 NPS at baseline and Hispanic ethnicity on incident MCI over a 7-year follow-up period. RESULTS: NPSs at baseline were associated with incident MCI for Hispanic participants but not non-Hispanic participants. Being Hispanic with at least one NPS at baseline had an 11-times higher risk of incident MCI. CONCLUSIONS: The Hispanic participants converted to MCI to a greater extent than the non-Hispanic participants. Only depressive symptoms increased the risk of MCI among non-Hispanics. Being of Hispanic ethnicity and having NPSs appeared to jointly increase the risk of progressing to MCI. To better understand the Alzheimer's disease continuum, further studies should explore other cultural, genetic, and medical risk factors influencing disease progression. Our findings strongly suggest the need to incorporate NPSs as outcomes of disease progression in future clinical trials involving Hispanic participants.

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BACKGROUND AND PURPOSE: Behavioral variant frontotemporal dementia (bvFTD) and primary psychiatric disorders (PPD), such as mood, psychotic, and autism spectrum disorders, share similar clinical characteristics of behavior and social cognition. Better understanding of clinical progression in bvFTD and PPD is essential for adequate disease monitoring and trial design. METHODS: In this longitudinal study (N = 89), patients with bvFTD and PPD with at least one follow-up assessment were included from the Social Brain Project of the Alzheimer Center Amsterdam. Behavioral change and social cognitive decline were assessed via informant-rated questionnaires (Cambridge Behavioral Inventory-Revised, Frontal Behavioral Inventory [FBI], Stereotypy Rating Inventory, Frontotemporal Dementia Rating Scale, Revised Self-Monitoring Scale [RSMS]-caregiver) and patient assessment (Ekman 60-Faces Test, RSMS-patient, Emotional Contagion Scale). Clinical trajectories (median = 1.4 years, interquartile range = 1.0-2.2) were examined using linear mixed models. In a subsample, associations with baseline serum neurofilament light (sNfL) were examined. RESULTS: At baseline, behavioral and social cognitive symptoms were similar between diagnosis groups, except for poorer emotion recognition in bvFTD. Over time, behavioral symptoms worsened in bvFTD, whereas most measures remained stable and the FBI improved in PPD. Regarding social cognition, emotion recognition and caregiver-reported socioemotional sensitivity worsened in bvFTD and remained stable in PPD. Patient-reported social cognitive measures did not change over time. Higher sNfL was associated with faster behavioral change. CONCLUSIONS: Trajectories of behavior and social cognition differentiate bvFTD from PPD, provided that social cognition is not patient-reported. Therefore, we stress the need to optimize longitudinal social cognitive assessment in bvFTD. sNfL may be a useful prognostic marker of behavioral progression in neuropsychiatric populations.

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Steroid-responsive encephalopathy associated with thyroiditis (SREAT) is a rare autoimmune disorder characterized by cognitive dysfunction. SREAT is frequently overlooked despite its profound impact on patients and the healthcare system. This case report details a male patient who experienced a series of neuropsychiatric symptoms over several months, ultimately attributed to SREAT, emphasizing the critical impact of delayed recognition. The case underscores the diverse and often complicated presentations of SREAT, advocating for the timely consideration of autoimmune encephalopathy in patients with unexplained neuropsychiatric symptoms and abnormal thyroid function. Furthermore, it illustrates the effectiveness of steroids in managing SREAT and the challenges posed by long-term steroid use. Comprehensive diagnostic criteria and tailored treatment strategies are crucial for improving patient outcomes in this rare but impactful disorder.

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Neuropsychiatric symptoms (NPS) in dementia can be reduced through music listening. Little has been reported on home-based listening, compilation processes, or individual responses that include biophysiological data. We aim to provide new insights from two home-based case studies focused on specific music selections. Participants were part of a larger study, co-designing an automated radio, diary reminder and personal playlist system for NPS management. Playlists were compiled that would have the best possible chance of achieving this, based on participants' autobiographical, narrative, heart rate (HR) and videoed responses. Participant's responses to their music aligned with the genre they chose - dancing to up-beat music, contrasting with subtle responses to Beethoven. Repeated listens may help to establish consistency of responses and allow time to communicate their genuine preferences, not those others suggested. If all of these data converge, then they could help confirm the suitability of music for NPS management.

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OBJECTIVES: This study aimed to evaluate the effects of a multicomponent psychotherapy programme for people with mild Alzheimer's dementia (AD) and their caregivers on depression and related neuropsychiatric symptoms. METHOD: The cognitive behavioural therapy (CBT)-based treatment consisted of 25 weekly sessions, including behavioural activation, behaviour management, interventions for the caregiver, reminiscence, couples counselling, and cognitive restructuring. 41 participants and their caregivers were randomised to either the CBT or the control group, which received treatment-as-usual (TAU). Follow-ups took place at 6 and 12 months posttreatment. The primary outcome was depression in the patient with AD. The secondary outcomes were apathy, other neuropsychiatric symptoms, functional abilities, quality of life, and quality of the relationship with the caregiver. RESULTS: Linear mixed models revealed a statistically significant superiority of CBT regarding clinician-rated depression at the 12-month follow-up with large effect sizes (within-subject d = 1.22, between-subject d = 1.00). Effect sizes were only moderate for self-rated depression and small for informant-rated depression. There was also a significant advantage for CBT regarding clinician-rated apathy, relationship quality, and informant-rated quality of life (QoL) but not for the other neuropsychiatric symptoms or self-rated QoL. CONCLUSION: The results are very encouraging and support an adequately powered multicentre study.Trial registration: ClinicalTrials.gov NCT01273272. Date of registration: 3 Jan 2011.

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INTRODUCTION: Behavioral and psychological symptoms in dementia (BPSD) are dynamic phenomena with a high amount of intraindividual variability. We applied a multilevel framework to identify subsyndromes (between-person factors) that represent clinically relevant profiles of BPSD and identify symptom clusters (within-person factors) that represent contextually driven daily symptom experiences. METHODS: This study used an intensive longitudinal design in which 68 co-residing family caregivers to persons living with dementia were recruited to proxy report on their care recipient's daily symptom experiences of 23 different BPSD for eight consecutive days (n = 443 diaries). A multilevel exploratory/confirmatory factor analysis was used to account for nested data and separate within-person variances from between-level factor estimates. RESULTS: Exploratory factor analysis identified a 4-between 3-within factor structure based on fit statistics and clinical interpretability. DISCUSSION: This study offers major methodological and conceptual advancements for management of BPSD within Alzheimer's disease and related dementias by introducing two related but distinct concepts of subsyndromes and symptom clusters. HIGHLIGHTS: Because behavioral and psychological symptoms of dementia (BPSD) are dynamic temporal phenomenon, this introduces measurement error into aggregate group-level estimates when trying to create subsyndromes. We propose a multilevel analysis to provide a more valid and reliable estimation by separating out variance due to within-person daily fluctuations. Using a multilevel exploratory factor analysis with intensive longitudinal data, we identified distinct and meaningful groups of BPSD. The four factors at the between-person level represented subsyndromes that are based on how BPSD co-occurred among persons with Alzheimer's disease (AD). These subsyndromes are clinically relevant because they share features of established clinical phenomena and may have similar neurobiological etiologies. We also found three within-person factors representing distinct symptom clusters. They are based on how BPSD clustered together on a given day for an individual with AD and related dementias. These clusters may have shared environmental triggers.

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INTRODUCTION: Neuropsychiatric symptoms (NPS) are highly prevalent in Alzheimer's disease (AD). There are no effective treatments targeting these symptoms. METHODS: To facilitate identification of causative mechanistic pathways, we initiated an effort (NIH: U01AG079850) to collate, harmonize, and analyze all available NPS data (≈ 100,000 samples) of diverse ancestries with whole-genome sequencing data from the Alzheimer's Disease Sequencing Project (ADSP). RESULTS: This study will generate a genomic resource for Alzheimer's disease with both harmonized whole-genome sequencing and NPS phenotype data that will be publicly available through NIAGADS. Primary analyses will (1) identify novel genetic risk factors associated with NPS in AD, (2) characterize the shared genetic architecture of NPS in AD and primary psychiatric disorders, and (3) assess the role of ancestry effects in the etiology of NPS in AD. DISCUSSION: Expansion of the ADSP to harmonize and refine NPS phenotypes coupled with the proposed core analyses will lay the foundation to disentangle the molecular mechanisms underlying these detrimental symptoms in AD in diverse populations. Highlights: Neuropsychiatric symptoms (NPS) are highly prevalent in Alzheimer's disease (AD).There are no effective treatments targeting NPS in AD.The current effort aims to collate, harmonize, and analyze all NPS data from the Alzheimer's Disease Sequencing Project.Core analyses will identify underlying genetic factors and mechanistic pathways.The harmonized genomic and phenotypic data from this initiative will be available through National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site.

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Neuropsychiatric symptoms (NPS) and mood disorders are common in individuals with mild cognitive impairment (MCI) and increase the risk of progression to dementia. Wearable devices collecting physiological and behavioral data can help in remote, passive, and continuous monitoring of moods and NPS, overcoming limitations and inconveniences of current assessment methods. In this longitudinal study, we examined the predictive ability of digital biomarkers based on sensor data from a wrist-worn wearable to determine the severity of NPS and mood disorders on a daily basis in older adults with predominant MCI. In addition to conventional physiological biomarkers, such as heart rate variability and skin conductance levels, we leveraged deep-learning features derived from physiological data using a self-supervised convolutional autoencoder. Models combining common digital biomarkers and deep features predicted depression severity scores with a correlation of r = 0.73 on average, total severity of mood disorder symptoms with r = 0.67, and mild behavioral impairment scores with r = 0.69 in the study population. Our findings demonstrated the potential of physiological biomarkers collected from wearables and deep learning methods to be used for the continuous and unobtrusive assessments of mental health symptoms in older adults, including those with MCI. TRIAL REGISTRATION: This trial was registered with ClinicalTrials.gov (NCT05059353) on September 28, 2021, titled "Effectiveness and Safety of a Digitally Based Multidomain Intervention for Mild Cognitive Impairment".

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Introduction: Depression and its components significantly impact dementia prediction and severity, necessitating reliable objective measures for quantification. Methods: We investigated associations between emotion-based speech measures (valence, arousal, and dominance) during picture descriptions and depression dimensions derived from the geriatric depression scale (GDS, dysphoria, withdrawal-apathy-vigor (WAV), anxiety, hopelessness, and subjective memory complaint). Results: Higher WAV was associated with more negative valence (estimate = -0.133, p = 0.030). While interactions of apolipoprotein E (APOE) 4 status with depression dimensions on emotional valence did not reach significance, there was a trend for more negative valence with higher dysphoria in those with at least one APOE4 allele (estimate = -0.404, p = 0.0846). Associations were similar irrespective of dementia severity. Discussion: Our study underscores the potential utility of speech biomarkers in characterizing depression dimensions. In future research, using emotionally charged stimuli may enhance emotional measure elicitation. The role of APOE on the interaction of speech markers and depression dimensions warrants further exploration with greater sample sizes. Highlights: Participants reporting higher apathy used more negative words to describe a neutral picture.Those with higher dysphoria and at least one APOE4 allele also tended to use more negative words.Our results suggest the potential use of speech biomarkers in characterizing depression dimensions.

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BACKGROUND: A common challenge for individuals caring for people with Alzheimer disease and related dementias is managing the behavioral and psychological symptoms of dementia (BPSD). Effective management of BPSD will increase the quality of life of people living with dementia, lessen caregivers' burden, and lower health care cost. OBJECTIVE: In this review, we seek to (1) examine how indoor environmental quality parameters pertaining to light, noise, temperature, and humidity are associated with BPSD and how controlling these parameters can help manage these symptoms and (2) identify the current state of knowledge in this area, current gaps in the research, and potential future directions. METHODS: Searches were conducted in the CINAHL, Embase, MEDLINE, and PsycINFO databases for papers published from January 2007 to February 2024. We searched for studies examining the relationship between indoor environmental quality parameters pertaining to light, noise, temperature, and humidity and BPSD. RESULTS: A total of 3123 papers were identified in the original search in October 2020. After an additional 2 searches and screening, 38 (0.69%) of the 5476 papers were included. Among the included papers, light was the most studied environmental factor (34/38, 89%), while there were fewer studies (from 5/38, 13% to 11/38, 29%) examining the relationships between other environmental factors and BPSD. Of the 38 studies, 8 (21%) examined multiple indoor environmental quality parameters. Subjective data were the only source of environmental assessments in 6 (16%) of the 38 studies. The findings regarding the relationship between agitation and light therapy are conflicted, while the studies that examined the relationship between BPSD and temperature or humidity are all observational. The results suggest that when the environmental factors are deemed overstimulating or understimulating for an individual with dementia, the behavioral symptoms tend to be exacerbated. CONCLUSIONS: The findings of this scoping review may inform the design of long-term care units and older adult housing to support aging in place. More research is still needed to better understand the relationship between indoor environmental quality parameters and BPSD, and there is a need for more objective measurements of both the indoor environmental quality parameters and behavioral symptoms. One future direction is to incorporate objective sensing and advanced computational methods in real-time assessments to initiate just-in-time environmental interventions. Better management of BPSD will benefit patients, caregivers, and the health care system.