Evidence map›Paper›PMID 40246706›Full record

ArticleInternational journal of geriatric psychiatry2025

A Cross Sectional and Longitudinal Assessment of Neuropsychiatric Symptoms and Brain Functional Connectivity in Patients With Mild Cognitive Impairment, Cerebrovascular Disease and Parkinson Disease.

Neda Rashidi-Ranjbar, Nathan W Churchill, Sandra E Black, Sanjeev Kumar, Maria C Tartaglia, Morris Freedman, Anthony Lang, Joel Ramirez, Gustavo Saposnik, Paula M McLaughlin and 17 more

Abstract read
In one paragraph

Article in International journal of geriatric psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors.

Neda Rashidi-RanjbarKeenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.ORCID 0000-0002-2125-1090
Nathan W ChurchillKeenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.
Sandra E BlackDivision of Neurology, Department of Medicine, Sunnybrook HSC, University of Toronto, Toronto, Canada.
Sanjeev KumarCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada.
Maria C TartagliaTanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Canada.
Morris FreedmanDivision of Neurology, Department of Medicine, Sunnybrook HSC, University of Toronto, Toronto, Canada.
Anthony LangTanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Canada.
Joel RamirezDr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada.
Gustavo SaposnikKeenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.
Paula M McLaughlinNova Scotia Health, Halifax, Canada.
Sean SymonsDepartment of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Canada.
Bruce G PollockCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada.
Tarek K RajjiCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada.
Michael BorrieDr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada.
Mario MasellisDivision of Neurology, Department of Medicine, Sunnybrook HSC, University of Toronto, Toronto, Canada.
Stephen H PasternakDr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada.
Andrew FrankBruyère Research Institute, Ottawa, Canada.
Dallas SeitzDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Zahinoor IsmailDepartment of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Canada.ORCID 0000-0002-5529-3731
David F Tang-WaiDivision of Neurology, Department of Medicine, University of Toronto, Toronto, Canada.
Christopher J M ScottL.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program Sunnybrook Health Sciences Research Program, Sunnybrook Health Sciences Centre, Toronto, Canada.
Dar DowlatshahiDepartment of Medicine, University of Ottawa, Ottawa, Canada.
Ayman HassanThunder Bay Regional Health Research Institute (TBRHRI), Northern Ontario School of Medicine University (NOSMU), Thunder Bay, Canada.
David G MunozDivision of Neurosurgery, Department of Medicine, University of Toronto, Toronto, Canada.
Luis FornazzariDivision of Neurology, St. Michael's Hospital, Toronto, Canada.
Corinne E FischerKeenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.
Tom A SchweizerKeenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMild Behavioral Impairment (MBI) is characterized by later-life emergent and persistent neuropsychiatric symptoms (NPS) in older adults without dementia, serving as a potential precursor to various forms of dementia. This study explores the association between NPS and functional connectivity (FC) of the default mode network (DMN), executive control network (ECN), and salience network (SN) across three cohorts: mild cognitive impairment due to AD (MCI), cerebrovascular disease (CVD), and Parkinson's disease (PD). Additionally, the effect of CNS medication on NPS-FC associations was explored.

methodsParticipants were recruited from the Ontario Neurodegenerative Disease Research Initiative (ONDRI). NPS were evaluated using the Neuropsychiatric Inventory Questionnaire (NPI-Q). We used dual regression to generate subject-specific whole-brain FC maps of the DMN, ECN, and SN. Using permutation testing we examined the association between NPS scores and FC maps at baseline (n = 349) and over a 2-year period (n = 225), controlling for age, sex, and years of education. A post-hoc linear model was used to assess the effect of CNS medication on each significant NPI-FC association within each group.

resultsIn the MCI group (n = 73), baseline disturbed nighttime behavior was positively correlated with functional connectivity (FC) between the anterior sensorimotor network. Longitudinally (n = 46), appetite changes were positively associated with FC between the anterior SN and fusiform gyrus. Disinhibition and apathy correlated with FC between the posterior SN and DMN. In the CVD group (n = 144), baseline anxiety was negatively associated with FC within the DMN and between the right ECN and DMN in the left hippocampus. Longitudinally (n = 99), agitation/aggression changes were negatively associated with FC between the right ECN and left anterior cerebellum. Irritability, the most common symptom in both MCI and CVD, did not have identifiable neural correlates, possibly due to its complexity or analysis limitations. In the PD group (n = 132), baseline disturbed nighttime behavior was positively associated with FC between the right ECN and DMN in the precuneus and left ECN and fusiform gyrus. Longitudinally (n = 80), changes in nighttime behavior correlated with FC between the left ECN and DMN in the precuneus. CNS medications had no effect on NPI-FC associations in the MCI group. In the CVD group, the absence of CNS medications was linked to decreased right ECN FC. In the PD group, Parkinson's medications changed the direction of the NPI night-time score-FC correlation at both baseline and the 2-year assessment, with higher scores associated with reduced left ECN FC in medicated individuals.

conclusionsIn conclusion, our study highlights the critical role of the DMN, ECN, and SN in processing neuropsychiatric symptoms (NPS) across MCI, CVD, and PD populations. We found significant associations between NPS and functional connectivity (FC) within and between these networks. MCI and PD showed positive associations with FC, particularly for disturbed nighttime behavior, while CVD exhibited negative associations, notably with anxiety and agitation. Although irritability was common in both MCI and CVD groups, its neural correlates remain unclear, emphasizing the need for further investigation. These findings support existing literature and pave the way for targeted therapeutic approaches, such as brain stimulation, to alleviate NPS. Additionally, the complex role of CNS medications in modulating NPS and FC warrants further investigation.

Indexed as

BrainCerebrovascular DisordersCognitive DysfunctionParkinson DiseaseAgedAged, 80 and overCross-Sectional StudiesDefault Mode NetworkExecutive FunctionFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological Testscerebrovascular diseasedefault mode networkexecutive control networkfunctional connectivitymild behavioral impairmentmild cognitive impairmentneurodegenerative disordersneuropsychiatric symptomsParkinson's diseasesalience network

Identifiers

PMID40246706
PMCPMC12006058

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.