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The relative brain signal variability increases in the behavioral variant of frontotemporal dementia and Alzheimer’s disease but not in schizophrenia

Overlapping symptoms between Alzheimer’s disease (AD), behavioral variant of frontotemporal dementia (bvFTD), and schizophrenia (SZ) can lead to misdiagnosis and delays in appropriate treatment, especially in cases of early-onset dementia. To determine the potential of brain signal variability as a...

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Published in:Journal of cerebral blood flow and metabolism 2024-12, Vol.44 (12), p.1535-1549
Main Authors: Tuovinen, Timo, Häkli, Jani, Rytty, Riikka, Krüger, Johanna, Korhonen, Vesa, Järvelä, Matti, Helakari, Heta, Kananen, Janne, Nikkinen, Juha, Veijola, Juha, Remes, Anne M, Kiviniemi, Vesa, Rosen, Howard, Dickerson, Bradford C, Domoto-Reilly, Kimoko, Knopman, David, Boeve, Bradley F, Boxer, Adam L, Kornak, John, Miller, Bruce L, Seeley, William W, Tempini, Maria Luisa Gorno, McGinnis, Scott, Mandelli, Maria Luisa
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container_issue 12
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container_title Journal of cerebral blood flow and metabolism
container_volume 44
creator Tuovinen, Timo
Häkli, Jani
Rytty, Riikka
Krüger, Johanna
Korhonen, Vesa
Järvelä, Matti
Helakari, Heta
Kananen, Janne
Nikkinen, Juha
Veijola, Juha
Remes, Anne M
Kiviniemi, Vesa
Rosen, Howard
Dickerson, Bradford C
Domoto-Reilly, Kimoko
Knopman, David
Boeve, Bradley F
Boxer, Adam L
Kornak, John
Miller, Bruce L
Seeley, William W
Tempini, Maria Luisa Gorno
McGinnis, Scott
Mandelli, Maria Luisa
description Overlapping symptoms between Alzheimer’s disease (AD), behavioral variant of frontotemporal dementia (bvFTD), and schizophrenia (SZ) can lead to misdiagnosis and delays in appropriate treatment, especially in cases of early-onset dementia. To determine the potential of brain signal variability as a diagnostic tool, we assessed the coefficient of variation of the BOLD signal (CVBOLD) in 234 participants spanning bvFTD (n = 53), AD (n = 17), SZ (n = 23), and controls (n = 141). All underwent functional and structural MRI scans. Data unveiled a notable increase in CVBOLD in bvFTD patients across both datasets (local and international, p 
doi_str_mv 10.1177/0271678X241262583
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To determine the potential of brain signal variability as a diagnostic tool, we assessed the coefficient of variation of the BOLD signal (CVBOLD) in 234 participants spanning bvFTD (n = 53), AD (n = 17), SZ (n = 23), and controls (n = 141). All underwent functional and structural MRI scans. Data unveiled a notable increase in CVBOLD in bvFTD patients across both datasets (local and international, p &lt; 0.05), revealing an association with clinical scores (CDR and MMSE, r = 0.46 and r = −0.48, p &lt; 0.0001). While SZ and control group demonstrated no significant differences, a comparative analysis between AD and bvFTD patients spotlighted elevated CVBOLD in the frontopolar cortices for the latter (p &lt; 0.05). Furthermore, CVBOLD not only presented excellent diagnostic accuracy for bvFTD (AUC 0.78–0.95) but also showcased longitudinal repeatability. During a one-year follow-up, the CVBOLD levels increased by an average of 35% in the bvFTD group, compared to a 2% increase in the control group (p &lt; 0.05). 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subjects Adult
Aged
Alzheimer Disease - diagnosis
Alzheimer Disease - diagnostic imaging
Brain - diagnostic imaging
Brain - physiopathology
Female
Frontotemporal Dementia - diagnosis
Frontotemporal Dementia - diagnostic imaging
Frontotemporal Dementia - physiopathology
Humans
Magnetic Resonance Imaging
Male
Middle Aged
Original
Schizophrenia - diagnostic imaging
Schizophrenia - physiopathology
title The relative brain signal variability increases in the behavioral variant of frontotemporal dementia and Alzheimer’s disease but not in schizophrenia
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