Yuta Katsumi, Erin A Krahn, Thiago Paranhos, Michael Brickhouse, Howard Rosen, Alexandra Touroutoglou, Bradford C Dickerson, Mark C Eldaief, Frontotemporal Lobar Degeneration Neuroimaging Initiative
Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
9 authors.
Yuta KatsumiFrontotemporal Disorders Unit, Department of Neurology Massachusetts General Hospital and Harvard Medical School Boston Massachusetts USA.ORCID https://orcid.org/0000-0003-0413-747X
Erin A KrahnFrontotemporal Disorders Unit, Department of Neurology Massachusetts General Hospital and Harvard Medical School Boston Massachusetts USA.
Thiago ParanhosFrontotemporal Disorders Unit, Department of Neurology Massachusetts General Hospital and Harvard Medical School Boston Massachusetts USA.
Michael BrickhouseFrontotemporal Disorders Unit, Department of Neurology Massachusetts General Hospital and Harvard Medical School Boston Massachusetts USA.
Howard RosenDepartment of Neurology, Memory and Aging Center University of California San Francisco California USA.
Alexandra TouroutoglouFrontotemporal Disorders Unit, Department of Neurology Massachusetts General Hospital and Harvard Medical School Boston Massachusetts USA.
Bradford C DickersonFrontotemporal Disorders Unit, Department of Neurology Massachusetts General Hospital and Harvard Medical School Boston Massachusetts USA.
Mark C EldaiefFrontotemporal Disorders Unit, Department of Neurology Massachusetts General Hospital and Harvard Medical School Boston Massachusetts USA.
THE ROLE OF ADVANCED CAA IN ALZHEIMER'S DEMENTIAP50AG005134 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI FROSCH, MATTHEW P · 1985 to 2018
$42.1M
Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Alberto Serrano-Pozo · 2019 to 2026
$36.5M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang, BRUCE R ROSEN · 2020 to 2026
$10.9M
The Frontotemporal Lobar Degeneration Neuroimaging InitiativeR01AG032306 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROSEN, HOWARD J · 2009 to 2013
$10.0M
Imaging tau, amyloid, and neurodegeneration in PPAR01DC014296 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI DICKERSON, BRADFORD C, JOHNSON, KEITH A. · 2016 to 2020
$4.3M
Robust detection of atrophy over short intervals in AD and FTLDR01AG081249 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI BRADFORD C DICKERSON · 2023 to 2026
$3.3M
Toward Personalized Prognosis and Outcomes in Primary Progressive AphasiaR01NS131395 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI BRADFORD C DICKERSON · 2026 to 2026
$824k
Neurogenetic contributions to the spread of tau pathology in sporadic early-onset Alzheimer's diseaseK01AG084820 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Yuta Katsumi · 2024 to 2026
introductionBehavioral variant frontotemporal dementia (bvFTD) is typically characterized by progressive deficits across several socioemotional and cognitive functions. Clinical prognostication in bvFTD remains a challenge due to the considerable variability in the rate of clinical progression and symptomatology.
methodsIn a sample of sporadic bvFTD patients (
resultsThe magnitude of cortical atrophy in regions of the default mode network that were largely spatially distinct from those exhibiting baseline atrophy most prominently and reliably predicted the rate of subsequent clinical decline. DISCUSSION: We propose a Highlights: At baseline, bvFTD is associated with prominent atrophy in anterior cortical regions.Atrophy in the posterior default mode network predicts subsequent clinical decline.Network-based atrophy has potential to be a useful clinical prognostication tool in bvFTD.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.
Network-based cortical atrophy predicts longitudinal clinical decline in sporadic behavioral variant frontotemporal dementia. · full record | Socratic