Frontotemporal dementia subtypes based on behavioral inhibition deficits
Abstract Introduction We aimed to investigate phenotypic heterogeneity in the behavioral variant of frontotemporal dementia (bvFTD) through assessment of inhibition deficits. Methods We assessed occurrences of 16 behavioral inhibition deficits from video recordings of 15 bvFTD patients (early stage)...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Valérie Godefroy [verfasserIn] Delphine Tanguy [verfasserIn] Arabella Bouzigues [verfasserIn] Idil Sezer [verfasserIn] Johan Ferrand‐Verdejo [verfasserIn] Carole Azuar [verfasserIn] David Bendetowicz [verfasserIn] Guilhem Carle [verfasserIn] Armelle Rametti‐Lacroux [verfasserIn] Stéphanie Bombois [verfasserIn] Emmanuel Cognat [verfasserIn] Pierre Jannin [verfasserIn] Xavier Morandi [verfasserIn] Isabelle Le Ber [verfasserIn] Richard Levy [verfasserIn] Bénédicte Batrancourt [verfasserIn] Raffaella Migliaccio [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring - Wiley, 2020, 13(2021), 1, Seite n/a-n/a |
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| Übergeordnetes Werk: |
volume:13 ; year:2021 ; number:1 ; pages:n/a-n/a |
| Links: |
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| DOI / URN: |
10.1002/dad2.12178 |
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| Katalog-ID: |
DOAJ004544889 |
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| 520 | |a Abstract Introduction We aimed to investigate phenotypic heterogeneity in the behavioral variant of frontotemporal dementia (bvFTD) through assessment of inhibition deficits. Methods We assessed occurrences of 16 behavioral inhibition deficits from video recordings of 15 bvFTD patients (early stage) and 15 healthy controls (HC) in an ecological setting. We extracted dimensions of inhibition deficit and analyzed their correlations with cognitive and clinical measures. Using these dimensions, we isolated patient clusters whose atrophy patterns were explored. Results After identifying two patterns of inhibition deficit (compulsive automatic behaviors and socially unconventional behaviors), we isolated three behavioral clusters with distinct atrophy patterns. BvFTD‐G0 (N = 3), an outlier group, showed severe behavioral disturbances and more severe ventromedial prefrontal cortex/orbitofrontal cortex atrophy. Compared to bvFTD‐G1 (N = 6), bvFTD‐G2 (N = 6) presented higher anxiety and depression along with less diffuse atrophy especially in midline regions. Discussion Identifying clinico‐anatomical profiles through behavior observation could help to stratify bvFTD patients for adapted treatments. | ||
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| 700 | 0 | |a Xavier Morandi |e verfasserin |4 aut | |
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10.1002/dad2.12178 doi (DE-627)DOAJ004544889 (DE-599)DOAJ2f2fcfd202664962b7cf6c3514accc5e DE-627 ger DE-627 rakwb eng RC346-429 RC952-954.6 Valérie Godefroy verfasserin aut Frontotemporal dementia subtypes based on behavioral inhibition deficits 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Introduction We aimed to investigate phenotypic heterogeneity in the behavioral variant of frontotemporal dementia (bvFTD) through assessment of inhibition deficits. Methods We assessed occurrences of 16 behavioral inhibition deficits from video recordings of 15 bvFTD patients (early stage) and 15 healthy controls (HC) in an ecological setting. We extracted dimensions of inhibition deficit and analyzed their correlations with cognitive and clinical measures. Using these dimensions, we isolated patient clusters whose atrophy patterns were explored. Results After identifying two patterns of inhibition deficit (compulsive automatic behaviors and socially unconventional behaviors), we isolated three behavioral clusters with distinct atrophy patterns. BvFTD‐G0 (N = 3), an outlier group, showed severe behavioral disturbances and more severe ventromedial prefrontal cortex/orbitofrontal cortex atrophy. Compared to bvFTD‐G1 (N = 6), bvFTD‐G2 (N = 6) presented higher anxiety and depression along with less diffuse atrophy especially in midline regions. Discussion Identifying clinico‐anatomical profiles through behavior observation could help to stratify bvFTD patients for adapted treatments. compulsivity disinhibition ecological design frontotemporal dementia gray matter atrophy subtypes Neurology. Diseases of the nervous system Geriatrics Delphine Tanguy verfasserin aut Arabella Bouzigues verfasserin aut Idil Sezer verfasserin aut Johan Ferrand‐Verdejo verfasserin aut Carole Azuar verfasserin aut David Bendetowicz verfasserin aut Guilhem Carle verfasserin aut Armelle Rametti‐Lacroux verfasserin aut Stéphanie Bombois verfasserin aut Emmanuel Cognat verfasserin aut Pierre Jannin verfasserin aut Xavier Morandi verfasserin aut Isabelle Le Ber verfasserin aut Richard Levy verfasserin aut Bénédicte Batrancourt verfasserin aut Raffaella Migliaccio verfasserin aut In Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring Wiley, 2020 13(2021), 1, Seite n/a-n/a (DE-627)834396874 (DE-600)2832898-X 23528729 nnns volume:13 year:2021 number:1 pages:n/a-n/a https://doi.org/10.1002/dad2.12178 kostenfrei https://doaj.org/article/2f2fcfd202664962b7cf6c3514accc5e kostenfrei https://doi.org/10.1002/dad2.12178 kostenfrei https://doaj.org/toc/2352-8729 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2021 1 n/a-n/a |
| spelling |
10.1002/dad2.12178 doi (DE-627)DOAJ004544889 (DE-599)DOAJ2f2fcfd202664962b7cf6c3514accc5e DE-627 ger DE-627 rakwb eng RC346-429 RC952-954.6 Valérie Godefroy verfasserin aut Frontotemporal dementia subtypes based on behavioral inhibition deficits 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Introduction We aimed to investigate phenotypic heterogeneity in the behavioral variant of frontotemporal dementia (bvFTD) through assessment of inhibition deficits. Methods We assessed occurrences of 16 behavioral inhibition deficits from video recordings of 15 bvFTD patients (early stage) and 15 healthy controls (HC) in an ecological setting. We extracted dimensions of inhibition deficit and analyzed their correlations with cognitive and clinical measures. Using these dimensions, we isolated patient clusters whose atrophy patterns were explored. Results After identifying two patterns of inhibition deficit (compulsive automatic behaviors and socially unconventional behaviors), we isolated three behavioral clusters with distinct atrophy patterns. BvFTD‐G0 (N = 3), an outlier group, showed severe behavioral disturbances and more severe ventromedial prefrontal cortex/orbitofrontal cortex atrophy. Compared to bvFTD‐G1 (N = 6), bvFTD‐G2 (N = 6) presented higher anxiety and depression along with less diffuse atrophy especially in midline regions. Discussion Identifying clinico‐anatomical profiles through behavior observation could help to stratify bvFTD patients for adapted treatments. compulsivity disinhibition ecological design frontotemporal dementia gray matter atrophy subtypes Neurology. Diseases of the nervous system Geriatrics Delphine Tanguy verfasserin aut Arabella Bouzigues verfasserin aut Idil Sezer verfasserin aut Johan Ferrand‐Verdejo verfasserin aut Carole Azuar verfasserin aut David Bendetowicz verfasserin aut Guilhem Carle verfasserin aut Armelle Rametti‐Lacroux verfasserin aut Stéphanie Bombois verfasserin aut Emmanuel Cognat verfasserin aut Pierre Jannin verfasserin aut Xavier Morandi verfasserin aut Isabelle Le Ber verfasserin aut Richard Levy verfasserin aut Bénédicte Batrancourt verfasserin aut Raffaella Migliaccio verfasserin aut In Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring Wiley, 2020 13(2021), 1, Seite n/a-n/a (DE-627)834396874 (DE-600)2832898-X 23528729 nnns volume:13 year:2021 number:1 pages:n/a-n/a https://doi.org/10.1002/dad2.12178 kostenfrei https://doaj.org/article/2f2fcfd202664962b7cf6c3514accc5e kostenfrei https://doi.org/10.1002/dad2.12178 kostenfrei https://doaj.org/toc/2352-8729 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2021 1 n/a-n/a |
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10.1002/dad2.12178 doi (DE-627)DOAJ004544889 (DE-599)DOAJ2f2fcfd202664962b7cf6c3514accc5e DE-627 ger DE-627 rakwb eng RC346-429 RC952-954.6 Valérie Godefroy verfasserin aut Frontotemporal dementia subtypes based on behavioral inhibition deficits 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Introduction We aimed to investigate phenotypic heterogeneity in the behavioral variant of frontotemporal dementia (bvFTD) through assessment of inhibition deficits. Methods We assessed occurrences of 16 behavioral inhibition deficits from video recordings of 15 bvFTD patients (early stage) and 15 healthy controls (HC) in an ecological setting. We extracted dimensions of inhibition deficit and analyzed their correlations with cognitive and clinical measures. Using these dimensions, we isolated patient clusters whose atrophy patterns were explored. Results After identifying two patterns of inhibition deficit (compulsive automatic behaviors and socially unconventional behaviors), we isolated three behavioral clusters with distinct atrophy patterns. BvFTD‐G0 (N = 3), an outlier group, showed severe behavioral disturbances and more severe ventromedial prefrontal cortex/orbitofrontal cortex atrophy. Compared to bvFTD‐G1 (N = 6), bvFTD‐G2 (N = 6) presented higher anxiety and depression along with less diffuse atrophy especially in midline regions. Discussion Identifying clinico‐anatomical profiles through behavior observation could help to stratify bvFTD patients for adapted treatments. compulsivity disinhibition ecological design frontotemporal dementia gray matter atrophy subtypes Neurology. Diseases of the nervous system Geriatrics Delphine Tanguy verfasserin aut Arabella Bouzigues verfasserin aut Idil Sezer verfasserin aut Johan Ferrand‐Verdejo verfasserin aut Carole Azuar verfasserin aut David Bendetowicz verfasserin aut Guilhem Carle verfasserin aut Armelle Rametti‐Lacroux verfasserin aut Stéphanie Bombois verfasserin aut Emmanuel Cognat verfasserin aut Pierre Jannin verfasserin aut Xavier Morandi verfasserin aut Isabelle Le Ber verfasserin aut Richard Levy verfasserin aut Bénédicte Batrancourt verfasserin aut Raffaella Migliaccio verfasserin aut In Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring Wiley, 2020 13(2021), 1, Seite n/a-n/a (DE-627)834396874 (DE-600)2832898-X 23528729 nnns volume:13 year:2021 number:1 pages:n/a-n/a https://doi.org/10.1002/dad2.12178 kostenfrei https://doaj.org/article/2f2fcfd202664962b7cf6c3514accc5e kostenfrei https://doi.org/10.1002/dad2.12178 kostenfrei https://doaj.org/toc/2352-8729 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2021 1 n/a-n/a |
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10.1002/dad2.12178 doi (DE-627)DOAJ004544889 (DE-599)DOAJ2f2fcfd202664962b7cf6c3514accc5e DE-627 ger DE-627 rakwb eng RC346-429 RC952-954.6 Valérie Godefroy verfasserin aut Frontotemporal dementia subtypes based on behavioral inhibition deficits 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Introduction We aimed to investigate phenotypic heterogeneity in the behavioral variant of frontotemporal dementia (bvFTD) through assessment of inhibition deficits. Methods We assessed occurrences of 16 behavioral inhibition deficits from video recordings of 15 bvFTD patients (early stage) and 15 healthy controls (HC) in an ecological setting. We extracted dimensions of inhibition deficit and analyzed their correlations with cognitive and clinical measures. Using these dimensions, we isolated patient clusters whose atrophy patterns were explored. Results After identifying two patterns of inhibition deficit (compulsive automatic behaviors and socially unconventional behaviors), we isolated three behavioral clusters with distinct atrophy patterns. BvFTD‐G0 (N = 3), an outlier group, showed severe behavioral disturbances and more severe ventromedial prefrontal cortex/orbitofrontal cortex atrophy. Compared to bvFTD‐G1 (N = 6), bvFTD‐G2 (N = 6) presented higher anxiety and depression along with less diffuse atrophy especially in midline regions. Discussion Identifying clinico‐anatomical profiles through behavior observation could help to stratify bvFTD patients for adapted treatments. compulsivity disinhibition ecological design frontotemporal dementia gray matter atrophy subtypes Neurology. Diseases of the nervous system Geriatrics Delphine Tanguy verfasserin aut Arabella Bouzigues verfasserin aut Idil Sezer verfasserin aut Johan Ferrand‐Verdejo verfasserin aut Carole Azuar verfasserin aut David Bendetowicz verfasserin aut Guilhem Carle verfasserin aut Armelle Rametti‐Lacroux verfasserin aut Stéphanie Bombois verfasserin aut Emmanuel Cognat verfasserin aut Pierre Jannin verfasserin aut Xavier Morandi verfasserin aut Isabelle Le Ber verfasserin aut Richard Levy verfasserin aut Bénédicte Batrancourt verfasserin aut Raffaella Migliaccio verfasserin aut In Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring Wiley, 2020 13(2021), 1, Seite n/a-n/a (DE-627)834396874 (DE-600)2832898-X 23528729 nnns volume:13 year:2021 number:1 pages:n/a-n/a https://doi.org/10.1002/dad2.12178 kostenfrei https://doaj.org/article/2f2fcfd202664962b7cf6c3514accc5e kostenfrei https://doi.org/10.1002/dad2.12178 kostenfrei https://doaj.org/toc/2352-8729 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2021 1 n/a-n/a |
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10.1002/dad2.12178 doi (DE-627)DOAJ004544889 (DE-599)DOAJ2f2fcfd202664962b7cf6c3514accc5e DE-627 ger DE-627 rakwb eng RC346-429 RC952-954.6 Valérie Godefroy verfasserin aut Frontotemporal dementia subtypes based on behavioral inhibition deficits 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Introduction We aimed to investigate phenotypic heterogeneity in the behavioral variant of frontotemporal dementia (bvFTD) through assessment of inhibition deficits. Methods We assessed occurrences of 16 behavioral inhibition deficits from video recordings of 15 bvFTD patients (early stage) and 15 healthy controls (HC) in an ecological setting. We extracted dimensions of inhibition deficit and analyzed their correlations with cognitive and clinical measures. Using these dimensions, we isolated patient clusters whose atrophy patterns were explored. Results After identifying two patterns of inhibition deficit (compulsive automatic behaviors and socially unconventional behaviors), we isolated three behavioral clusters with distinct atrophy patterns. BvFTD‐G0 (N = 3), an outlier group, showed severe behavioral disturbances and more severe ventromedial prefrontal cortex/orbitofrontal cortex atrophy. Compared to bvFTD‐G1 (N = 6), bvFTD‐G2 (N = 6) presented higher anxiety and depression along with less diffuse atrophy especially in midline regions. Discussion Identifying clinico‐anatomical profiles through behavior observation could help to stratify bvFTD patients for adapted treatments. compulsivity disinhibition ecological design frontotemporal dementia gray matter atrophy subtypes Neurology. Diseases of the nervous system Geriatrics Delphine Tanguy verfasserin aut Arabella Bouzigues verfasserin aut Idil Sezer verfasserin aut Johan Ferrand‐Verdejo verfasserin aut Carole Azuar verfasserin aut David Bendetowicz verfasserin aut Guilhem Carle verfasserin aut Armelle Rametti‐Lacroux verfasserin aut Stéphanie Bombois verfasserin aut Emmanuel Cognat verfasserin aut Pierre Jannin verfasserin aut Xavier Morandi verfasserin aut Isabelle Le Ber verfasserin aut Richard Levy verfasserin aut Bénédicte Batrancourt verfasserin aut Raffaella Migliaccio verfasserin aut In Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring Wiley, 2020 13(2021), 1, Seite n/a-n/a (DE-627)834396874 (DE-600)2832898-X 23528729 nnns volume:13 year:2021 number:1 pages:n/a-n/a https://doi.org/10.1002/dad2.12178 kostenfrei https://doaj.org/article/2f2fcfd202664962b7cf6c3514accc5e kostenfrei https://doi.org/10.1002/dad2.12178 kostenfrei https://doaj.org/toc/2352-8729 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2021 1 n/a-n/a |
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Valérie Godefroy @@aut@@ Delphine Tanguy @@aut@@ Arabella Bouzigues @@aut@@ Idil Sezer @@aut@@ Johan Ferrand‐Verdejo @@aut@@ Carole Azuar @@aut@@ David Bendetowicz @@aut@@ Guilhem Carle @@aut@@ Armelle Rametti‐Lacroux @@aut@@ Stéphanie Bombois @@aut@@ Emmanuel Cognat @@aut@@ Pierre Jannin @@aut@@ Xavier Morandi @@aut@@ Isabelle Le Ber @@aut@@ Richard Levy @@aut@@ Bénédicte Batrancourt @@aut@@ Raffaella Migliaccio @@aut@@ |
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Valérie Godefroy |
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Valérie Godefroy misc RC346-429 misc RC952-954.6 misc compulsivity misc disinhibition misc ecological design misc frontotemporal dementia misc gray matter atrophy misc subtypes misc Neurology. Diseases of the nervous system misc Geriatrics Frontotemporal dementia subtypes based on behavioral inhibition deficits |
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RC346-429 RC952-954.6 Frontotemporal dementia subtypes based on behavioral inhibition deficits compulsivity disinhibition ecological design frontotemporal dementia gray matter atrophy subtypes |
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Frontotemporal dementia subtypes based on behavioral inhibition deficits |
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Frontotemporal dementia subtypes based on behavioral inhibition deficits |
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Valérie Godefroy |
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Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring |
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Valérie Godefroy Delphine Tanguy Arabella Bouzigues Idil Sezer Johan Ferrand‐Verdejo Carole Azuar David Bendetowicz Guilhem Carle Armelle Rametti‐Lacroux Stéphanie Bombois Emmanuel Cognat Pierre Jannin Xavier Morandi Isabelle Le Ber Richard Levy Bénédicte Batrancourt Raffaella Migliaccio |
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Valérie Godefroy |
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frontotemporal dementia subtypes based on behavioral inhibition deficits |
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Frontotemporal dementia subtypes based on behavioral inhibition deficits |
| abstract |
Abstract Introduction We aimed to investigate phenotypic heterogeneity in the behavioral variant of frontotemporal dementia (bvFTD) through assessment of inhibition deficits. Methods We assessed occurrences of 16 behavioral inhibition deficits from video recordings of 15 bvFTD patients (early stage) and 15 healthy controls (HC) in an ecological setting. We extracted dimensions of inhibition deficit and analyzed their correlations with cognitive and clinical measures. Using these dimensions, we isolated patient clusters whose atrophy patterns were explored. Results After identifying two patterns of inhibition deficit (compulsive automatic behaviors and socially unconventional behaviors), we isolated three behavioral clusters with distinct atrophy patterns. BvFTD‐G0 (N = 3), an outlier group, showed severe behavioral disturbances and more severe ventromedial prefrontal cortex/orbitofrontal cortex atrophy. Compared to bvFTD‐G1 (N = 6), bvFTD‐G2 (N = 6) presented higher anxiety and depression along with less diffuse atrophy especially in midline regions. Discussion Identifying clinico‐anatomical profiles through behavior observation could help to stratify bvFTD patients for adapted treatments. |
| abstractGer |
Abstract Introduction We aimed to investigate phenotypic heterogeneity in the behavioral variant of frontotemporal dementia (bvFTD) through assessment of inhibition deficits. Methods We assessed occurrences of 16 behavioral inhibition deficits from video recordings of 15 bvFTD patients (early stage) and 15 healthy controls (HC) in an ecological setting. We extracted dimensions of inhibition deficit and analyzed their correlations with cognitive and clinical measures. Using these dimensions, we isolated patient clusters whose atrophy patterns were explored. Results After identifying two patterns of inhibition deficit (compulsive automatic behaviors and socially unconventional behaviors), we isolated three behavioral clusters with distinct atrophy patterns. BvFTD‐G0 (N = 3), an outlier group, showed severe behavioral disturbances and more severe ventromedial prefrontal cortex/orbitofrontal cortex atrophy. Compared to bvFTD‐G1 (N = 6), bvFTD‐G2 (N = 6) presented higher anxiety and depression along with less diffuse atrophy especially in midline regions. Discussion Identifying clinico‐anatomical profiles through behavior observation could help to stratify bvFTD patients for adapted treatments. |
| abstract_unstemmed |
Abstract Introduction We aimed to investigate phenotypic heterogeneity in the behavioral variant of frontotemporal dementia (bvFTD) through assessment of inhibition deficits. Methods We assessed occurrences of 16 behavioral inhibition deficits from video recordings of 15 bvFTD patients (early stage) and 15 healthy controls (HC) in an ecological setting. We extracted dimensions of inhibition deficit and analyzed their correlations with cognitive and clinical measures. Using these dimensions, we isolated patient clusters whose atrophy patterns were explored. Results After identifying two patterns of inhibition deficit (compulsive automatic behaviors and socially unconventional behaviors), we isolated three behavioral clusters with distinct atrophy patterns. BvFTD‐G0 (N = 3), an outlier group, showed severe behavioral disturbances and more severe ventromedial prefrontal cortex/orbitofrontal cortex atrophy. Compared to bvFTD‐G1 (N = 6), bvFTD‐G2 (N = 6) presented higher anxiety and depression along with less diffuse atrophy especially in midline regions. Discussion Identifying clinico‐anatomical profiles through behavior observation could help to stratify bvFTD patients for adapted treatments. |
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Delphine Tanguy Arabella Bouzigues Idil Sezer Johan Ferrand‐Verdejo Carole Azuar David Bendetowicz Guilhem Carle Armelle Rametti‐Lacroux Stéphanie Bombois Emmanuel Cognat Pierre Jannin Xavier Morandi Isabelle Le Ber Richard Levy Bénédicte Batrancourt Raffaella Migliaccio |
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