This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

67/100

✓ Peer-reviewed alzhub usefulness score 67 out of 100. Getting a diagnosis

Topic: Risk, prevention and care in population studies

Patients with FTLD were distributed between FTLD-tau (34 patients: 10 corticobasal degeneration, nine progressive supranuclear palsy, eight Pick's disease, three frontotemporal dementia with parkinsonism associated with chromosome 17, three unclassifiable tauopathy, and one argyrophilic grain disease); FTLD-TDP (55 patients: nine type A including one with motor neuron disease, 27 type B including 21 with motor neuron disease, eight type C with right temporal lobe presentations, and 11 unclassifiable including eight with motor neuron disease), FTLD-FUS (eight patients), and one patient with FTLD-ubiquitin proteasome system positive inclusions (FTLD-UPS) that stained negatively for tau, TDP-43, and FUS. The frequency of the six core bvFTD diagnostic features was similar in FTLD-tau and FTLD-TDP, suggesting that these features alone cannot be used to separate patients by major molecular class. Voxel-based morphometry revealed that nearly all pathological subgroups and even individual patients share atrophy in anterior cingulate, frontoinsula, striatum, and amygdala, indicating that degeneration of these regions is intimately linked to the behavioural syndrome produced by these diverse aetiologies. Data-driven classification into one of the 10 most common pathological diagnoses was most accurate (up to 60.2%) when using a combination of known predictive factors (genetic mutations, motor features, or striking atrophy patterns) and the results of a discriminant function analysis that incorporated clinical, neuroimaging, and neuropsychological data.

Key findings

Patients with FTLD were distributed between FTLD-tau (34 patients: 10 corticobasal degeneration, nine progressive supranuclear palsy, eight Pick's disease, three frontotemporal dementia with parkinsonism associated with chromosome 17, three unclassifiable tauopathy, and one argyrophilic grain disease); FTLD-TDP (55 patients: nine type A including one with motor neuron disease, 27 type B including 21 with motor neuron disease, eight type C with right temporal lobe presentations, and 11 unclassifiable including eight with motor neuron disease), FTLD-FUS (eight patients), and one patient with FTLD-ubiquitin proteasome system positive inclusions (FTLD-UPS) that stained negatively for tau, TDP-43, and FUS.
The frequency of the six core bvFTD diagnostic features was similar in FTLD-tau and FTLD-TDP, suggesting that these features alone cannot be used to separate patients by major molecular class.
Voxel-based morphometry revealed that nearly all pathological subgroups and even individual patients share atrophy in anterior cingulate, frontoinsula, striatum, and amygdala, indicating that degeneration of these regions is intimately linked to the behavioural syndrome produced by these diverse aetiologies.
Data-driven classification into one of the 10 most common pathological diagnoses was most accurate (up to 60.2%) when using a combination of known predictive factors (genetic mutations, motor features, or striking atrophy patterns) and the results of a discriminant function analysis that incorporated clinical, neuroimaging, and neuropsychological data.

Why it matters

This study found that the six core behavioural variant frontotemporal dementia features were similar in FTLD-tau and FTLD-TDP, so these features alone cannot separate patients by major molecular class. Data-driven classification of the 10 most common pathological diagnoses was most accurate at up to 60.2% using a combination of known predictive factors, so accurate diagnosis from clinical features remains limited.

New to this subject? Start with our plain-English guide: Getting a diagnosis →

Study details

Participants438
Effect size60.2%
Evidence strengthModerate

How this study scored 67/100

Published in a leading specialty journal. Scored zero for study design and randomised / blinded because the record does not state it.

Component	Points	Why
Journal tier	9 / 10	Tier 2 — leading specialty journal (Brain : a journal of neurology)
Journal's citation record	4 / 4	Brain: journal h-index 503 (OpenAlex, 2026-10-29)
Study design	0 / 12	No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence	3 / 5	Rated “moderate” in our summary
Peer-review validation	10 / 10	Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent	2 / 5	2017 — within 10 year(s) of the newest study here
Sample size	2 / 4	438 participants
Effect reported	2 / 3	Effect reported as a number, without an interval or test
Studied in people	3 / 3	Studied in people (participant count stated)
Randomised / blinded	0 / 2	No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited	6 / 7	Cited 313 times (OpenAlex, 2026-10-10)
Citations per year	4 / 5	28.5 citations a year over 11 year(s) since 2017
Impact for its field and year	4 / 6	Cited 18.2× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here	3 / 6	Cited by 26 other studies in this library
Still being cited	3 / 4	Cited 88 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record	4 / 4	Last-listed author William W. Seeley: h-index 126 (OpenAlex, whole career)
Institution's track record	3 / 3	University of Washington: institution h-index 3,540 (OpenAlex)
Multi-centre collaboration	3 / 3	OpenAlex lists 12 institution(s) in 4 countries
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 29053860)
Free to read	0 / 2	Behind a paywall — scores zero
Total	67 / 100	—

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

APA 7th

Perry, D. C., Brown, J. A., Possin, K. L., Datta, S., Trujillo, A., Radke, A., et al. (2017). Clinicopathological correlations in behavioural variant frontotemporal dementia. Brain : a journal of neurology. https://doi.org/10.1093/brain/awx254

Vancouver

Perry DC, Brown JA, Possin KL, Datta S, Trujillo A, Radke A, et al. Clinicopathological correlations in behavioural variant frontotemporal dementia. Brain : a journal of neurology. 2017. doi:10.1093/brain/awx254. PMID: 29053860.

BibTeX

@article{perry2017-29053860,
  author  = {Perry, D. C. and Brown, J. A. and Possin, K. L. and Datta, S. and Trujillo, A. and Radke, A. and Karydas, A. and Kornak, J. and others},
  title   = {{Clinicopathological correlations in behavioural variant frontotemporal dementia}},
  journal = {Brain : a journal of neurology},
  year    = {2017},
  doi     = {10.1093/brain/awx254},
  pmid    = {29053860},
  url     = {https://doi.org/10.1093/brain/awx254}
}

Studies this one cites

Referenced by this study and also in the alzhub library, so you can read them here. Showing 12 of 30.

Later studies that cite this one

26 studies in the alzhub library list this one in their references. Showing the 8 highest-scoring.

Related studies in Getting a diagnosis

Also tagged “bodies”

1,017 studies in the library carry the topic tag “bodies”; these are this study's neighbours in a fixed, alphabetical-by-hash tour of them, not the closest in content. All 1,017 tagged studies.

Similar studies

More on Getting a diagnosis

See all studies in Getting a diagnosis →