IMPORTANCE: Noninvasive measures of activity within intrinsic brain networks may be clinically relevant, providing a marker of neurodegenerative disease and predicting clinical behaviors. OBJECTIVE: To correlate baseline resting-state measures within the salience network and changes in behavior among patients with frontotemporal dementia. DESIGN: Baseline resting-state functional magnetic resonance imaging data and longitudinal clinical measures were obtained from prospectively accrued patients during 8 weeks. SETTING: Tertiary academic care center specializing in the assessment and management of patients with neurodegenerative disease. PARTICIPANTS: Fifteen patients with clinically diagnosed frontotemporal dementia (5 behavioral variant and 10 semantic dementia). MAIN OUTCOMES AND MEASURES: Baseline resting-state functional magnetic resonance imaging data measured within regions of interest were regressed on serial behavioral measures from prospectively accrued patients with frontotemporal dementia to determine the ability of baseline resting-state activity to account for changes in behavior. RESULTS: Low-frequency fluctuations in the left insula significantly predicted changes in Frontal Behavioral Inventory scores (standard β = 0.51, P = .049), accounting for 28% of the change variance. The trend was driven by changes in measures of apathy independent of dementia severity. CONCLUSION AND RELEVANCE: Baseline measures of salience network connectivity involving the left insula may predict behavioral changes in patients with frontotemporal dementia.
IMPORTANCE: Noninvasive measures of activity within intrinsic brain networks may be clinically relevant, providing a marker of neurodegenerative disease and predicting clinical behaviors. OBJECTIVE: To correlate baseline resting-state measures within the salience network and changes in behavior among patients with frontotemporal dementia. DESIGN: Baseline resting-state functional magnetic resonance imaging data and longitudinal clinical measures were obtained from prospectively accrued patients during 8 weeks. SETTING: Tertiary academic care center specializing in the assessment and management of patients with neurodegenerative disease. PARTICIPANTS: Fifteen patients with clinically diagnosed frontotemporal dementia (5 behavioral variant and 10 semantic dementia). MAIN OUTCOMES AND MEASURES: Baseline resting-state functional magnetic resonance imaging data measured within regions of interest were regressed on serial behavioral measures from prospectively accrued patients with frontotemporal dementia to determine the ability of baseline resting-state activity to account for changes in behavior. RESULTS: Low-frequency fluctuations in the left insula significantly predicted changes in Frontal Behavioral Inventory scores (standard β = 0.51, P = .049), accounting for 28% of the change variance. The trend was driven by changes in measures of apathy independent of dementia severity. CONCLUSION AND RELEVANCE: Baseline measures of salience network connectivity involving the left insula may predict behavioral changes in patients with frontotemporal dementia.
Authors: Indira García-Cordero; Lucas Sedeño; Laura de la Fuente; Andrea Slachevsky; Gonzalo Forno; Francisco Klein; Patricia Lillo; Jesica Ferrari; Clara Rodriguez; Julian Bustin; Teresa Torralva; Sandra Baez; Adrian Yoris; Sol Esteves; Margherita Melloni; Paula Salamone; David Huepe; Facundo Manes; Adolfo M García; Agustín Ibañez Journal: Philos Trans R Soc Lond B Biol Sci Date: 2016-10-10 Impact factor: 6.237
Authors: Zhihao Li; Cecília N Prudente; Randall Stilla; K Sathian; H A Jinnah; Xiaoping Hu Journal: Hum Brain Mapp Date: 2017-05-15 Impact factor: 5.038
Authors: Christine C Guo; Virginia E Sturm; Juan Zhou; Efstathios D Gennatas; Andrew J Trujillo; Alice Y Hua; Richard Crawford; Lara Stables; Joel H Kramer; Katherine Rankin; Robert W Levenson; Howard J Rosen; Bruce L Miller; William W Seeley Journal: Proc Natl Acad Sci U S A Date: 2016-04-11 Impact factor: 11.205
Authors: Catherine E Munro; Nancy J Donovan; Brendan J Guercio; Sarah E Wigman; Aaron P Schultz; Rebecca E Amariglio; Dorene M Rentz; Keith A Johnson; Reisa A Sperling; Gad A Marshall Journal: J Alzheimers Dis Date: 2015 Impact factor: 4.472