Neuroimaging Biomarkers in Neuropsychiatric Symptom Clusters

Abstract Background Neuropsychiatric symptoms (NPS) constitute a major challenge for patients with Alzheimer’s disease (AD). We have recently demonstrated that in AD, overall NPS burden is significantly associated with patient function. However, few studies have examined the relationship between specific symptom clusters with neurological biomarkers. Therefore, we identified NPS clusters in AD and explored their association with structural neuroimaging markers. Method Participants with AD (N = 111) were included from the Ontario Neurodegenerative Disease Research Initiative (ONDRI). NPS were assessed using the neuropsychiatric inventory questionnaire (NPI‐Q), and symptom clusters were identified through exploratory factor analysis. The Semi‐Automatic Brain Region Extraction (SABRE) pipeline was used to compute regional cortical thickness and subcortical volumes using participant MRI data. We then evaluated correlations between symptom clusters with subcortical volumes and regional cortical thickness. Result Factor analysis identified four symptom clusters explaining 62% of the variance. These were labeled as “behavioral” (disinhibition, irritability, motor disturbance, and agitation), “psychotic” (hallucinations, delusions, and euphoria), “neurovegetative” (apathy and appetite), and “affective” (depression, anxiety, nighttime behavior) clusters. The psychotic cluster was associated with increased cortical thickness in bilateral frontal regions, the left inferior parietal lobe (r=0.23, p=0.02), and with left anterior cingulate volumes (r=0.21, p=0.03). The neurovegetative cluster was associated with reductions in volume among bilateral frontal and right‐sided temporal and parietal regions. The affective cluster was associated with increased left anterior cingulate volume (r=0.21, p=0.03). Conclusion NPS symptom clusters in AD separate into behavioral, psychotic, neurovegetative, and affective dimensions. These symptom groups demonstrate unique associations with neuroimaging markers.

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.087950
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
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article

Neuroimaging Biomarkers in Neuropsychiatric Symptom Clusters

Anthony E. Lang, David F. Tang‐Wai, Maria Carmela Tartaglia, Neda Rashidi‐Ranjbar et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Neuroimaging Biomarkers in Neuropsychiatric Symptom Clusters

Anthony E. Lang, David F. Tang‐Wai, Maria Carmela Tartaglia, Neda Rashidi‐Ranjbar, Corinne E. Fischer, Paula McLaughlin, Angela K. Troyer, Lorne Zinman, Agessandro Abrahão, David A. Grimes, Tarek K. Rajji, Daniel Kapustin, Gustavo Saposnik, Connie Marras, Malcolm A. Binns, Angela Roberts, J. B. Orange, Wei Wang, Sanjeev Kumar, Mario Masellis, Richard H. Swartz
article en

Abstract

Abstract Background Neuropsychiatric symptoms (NPS) constitute a major challenge for patients with Alzheimer’s disease (AD). We have recently demonstrated that in AD, overall NPS burden is significantly associated with patient function. However, few studies have examined the relationship between specific symptom clusters with neurological biomarkers. Therefore, we identified NPS clusters in AD and explored their association with structural neuroimaging markers. Method Participants with AD (N = 111) were included from the Ontario Neurodegenerative Disease Research Initiative (ONDRI). NPS were assessed using the neuropsychiatric inventory questionnaire (NPI‐Q), and symptom clusters were identified through exploratory factor analysis. The Semi‐Automatic Brain Region Extraction (SABRE) pipeline was used to compute regional cortical thickness and subcortical volumes using participant MRI data. We then evaluated correlations between symptom clusters with subcortical volumes and regional cortical thickness. Result Factor analysis identified four symptom clusters explaining 62% of the variance. These were labeled as “behavioral” (disinhibition, irritability, motor disturbance, and agitation), “psychotic” (hallucinations, delusions, and euphoria), “neurovegetative” (apathy and appetite), and “affective” (depression, anxiety, nighttime behavior) clusters. The psychotic cluster was associated with increased cortical thickness in bilateral frontal regions, the left inferior parietal lobe (r=0.23, p=0.02), and with left anterior cingulate volumes (r=0.21, p=0.03). The neurovegetative cluster was associated with reductions in volume among bilateral frontal and right‐sided temporal and parietal regions. The affective cluster was associated with increased left anterior cingulate volume (r=0.21, p=0.03). Conclusion NPS symptom clusters in AD separate into behavioral, psychotic, neurovegetative, and affective dimensions. These symptom groups demonstrate unique associations with neuroimaging markers.

Alzheimer s & DementiaVol. 20(S2)
Northwestern University (US), Western University (CA), St. Michael's Hospital (CA), Sunnybrook Health Science Centre (CA), University Health Network (CA), Centre for Addiction and Mental Health (CA), University of Ottawa (CA), University of Toronto (CA), Health Sciences Centre (CA), Nova Scotia Health Authority (CA), Baycrest Hospital (CA), Occupational Cancer Research Centre (CA), Parkinson's Clinic of Eastern Toronto & Movement Disorders Centre (CA)
Good health and well-being
Openalex Percentile: Top 65%
Dementia and Cognitive Impairment Research
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