Salih Cayir, Tommaso Volpi, Takuya Toyonaga, Jean-Dominique Gallezot, Yanghong Yang, Faranak Ebrahimian Sadabad, Tim Mulnix, Adam P. Mecca, Arman Fesharaki-Zadeh, David Matuskey
{"title":"Relationship between neuroimaging and cognition in frontotemporal dementia: An FDG-PET and structural MRI study","authors":"Salih Cayir, Tommaso Volpi, Takuya Toyonaga, Jean-Dominique Gallezot, Yanghong Yang, Faranak Ebrahimian Sadabad, Tim Mulnix, Adam P. Mecca, Arman Fesharaki-Zadeh, David Matuskey","doi":"10.1111/jon.13206","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background and Purpose</h3>\n \n <p>Frontotemporal dementia (FTD) is a clinically and pathologically heterogeneous neurodegenerative condition with a prevalence comparable to Alzheimer's disease for patients under 65 years of age. Limited studies have examined the association between cognition and neuroimaging in FTD using different imaging modalities.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We examined the association of cognition using Montreal Cognitive Assessment (MoCA) with both gray matter (GM) volume and glucose metabolism using magnetic resonance imaging and fluorodeoxyglucose (FDG)-PET in 21 patients diagnosed with FTD. Standardized uptake value ratio (SUVR) using the brainstem as a reference region was the primary outcome measure for FDG-PET. Partial volume correction was applied to PET data to account for disease-related atrophy.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Significant positive associations were found between whole-cortex GM volume and MoCA scores (<i>r</i> = 0.46, <i>p</i> = .04). The association between whole-cortex FDG SUVR and MoCA scores was not significant (<i>r</i> = 0.37, <i>p</i> = .09). GM volumes of the frontal cortex (<i>r</i> = 0.54, <i>p</i> = .01), caudate (<i>r</i> = 0.62, <i>p</i><.01), and insula (<i>r</i> = 0.57, <i>p</i><.01) were also significantly correlated with MoCA, as were SUVR values of the insula (<i>r</i> = 0.51, <i>p</i> = .02), thalamus (<i>r</i> = 0.48, <i>p</i> = .03), and posterior cingulate cortex (PCC) (<i>r</i> = 0.47, <i>p</i> = .03).</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Whole-cortex atrophy is associated with cognitive dysfunction, and this association is larger than for whole-cortex hypometabolism as measured with FDG-PET. At the regional level, focal atrophy and/or hypometabolism in the frontal cortex, insula, PCC, thalamus, and caudate seem to be important for the decline of cognitive function in FTD. Furthermore, these results highlight how functional and structural changes may not overlap and might contribute to cognitive dysfunction in FTD in different ways.</p>\n </section>\n </div>","PeriodicalId":16399,"journal":{"name":"Journal of Neuroimaging","volume":"34 5","pages":"627-634"},"PeriodicalIF":2.3000,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neuroimaging","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jon.13206","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background and Purpose
Frontotemporal dementia (FTD) is a clinically and pathologically heterogeneous neurodegenerative condition with a prevalence comparable to Alzheimer's disease for patients under 65 years of age. Limited studies have examined the association between cognition and neuroimaging in FTD using different imaging modalities.
Methods
We examined the association of cognition using Montreal Cognitive Assessment (MoCA) with both gray matter (GM) volume and glucose metabolism using magnetic resonance imaging and fluorodeoxyglucose (FDG)-PET in 21 patients diagnosed with FTD. Standardized uptake value ratio (SUVR) using the brainstem as a reference region was the primary outcome measure for FDG-PET. Partial volume correction was applied to PET data to account for disease-related atrophy.
Results
Significant positive associations were found between whole-cortex GM volume and MoCA scores (r = 0.46, p = .04). The association between whole-cortex FDG SUVR and MoCA scores was not significant (r = 0.37, p = .09). GM volumes of the frontal cortex (r = 0.54, p = .01), caudate (r = 0.62, p<.01), and insula (r = 0.57, p<.01) were also significantly correlated with MoCA, as were SUVR values of the insula (r = 0.51, p = .02), thalamus (r = 0.48, p = .03), and posterior cingulate cortex (PCC) (r = 0.47, p = .03).
Conclusions
Whole-cortex atrophy is associated with cognitive dysfunction, and this association is larger than for whole-cortex hypometabolism as measured with FDG-PET. At the regional level, focal atrophy and/or hypometabolism in the frontal cortex, insula, PCC, thalamus, and caudate seem to be important for the decline of cognitive function in FTD. Furthermore, these results highlight how functional and structural changes may not overlap and might contribute to cognitive dysfunction in FTD in different ways.
期刊介绍:
Start reading the Journal of Neuroimaging to learn the latest neurological imaging techniques. The peer-reviewed research is written in a practical clinical context, giving you the information you need on:
MRI
CT
Carotid Ultrasound and TCD
SPECT
PET
Endovascular Surgical Neuroradiology
Functional MRI
Xenon CT
and other new and upcoming neuroscientific modalities.The Journal of Neuroimaging addresses the full spectrum of human nervous system disease, including stroke, neoplasia, degenerating and demyelinating disease, epilepsy, tumors, lesions, infectious disease, cerebral vascular arterial diseases, toxic-metabolic disease, psychoses, dementias, heredo-familial disease, and trauma.Offering original research, review articles, case reports, neuroimaging CPCs, and evaluations of instruments and technology relevant to the nervous system, the Journal of Neuroimaging focuses on useful clinical developments and applications, tested techniques and interpretations, patient care, diagnostics, and therapeutics. Start reading today!