Frontal assessment battery and brain perfusion imaging in early dementia

Hidenori Yoshida, Seishi Terada, Shuhei Sato, Yuki Kishimoto, Toshie Ata, Etsuko Ohshima, Hajime Honda, Takeshi Ishihara, Shigetoshi Kuroda

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


Background/Aims: The frontal assessment battery (FAB) is reported to be a useful tool for screening frontal function. However, the neural substrates involved remain to be elucidated. The aim of the present study was to identify the brain regions responsible for FAB performance in patients with early dementia. We sought a correlation between FAB scores and brain perfusion. Methods: A total of 117 subjects participated in this study (Alzheimer's disease = 51, frontotemporal dementia = 14, vascular dementia = 13, dementia with Lewy bodies = 7, psychiatric disease = 7, mild cognitive impairment = 11, controls = 14). They underwent brain single photon emission computed tomography with 99mTc-ethylcisteinate dimer, and we analyzed the data, using a regional cerebral blood flow (rCBF) quantification software program, 3DSRT (3-dimensional stereotaxic region of interest template). Results: FAB scores had a moderately positive correlation with left callosomarginal and precentral rCBF. Comparison of rCBF between high- and low-scoring FAB groups revealed that the latter showed significantly lower rCBF in the bilateral callosomarginal and left precentral regions. Conclusion: The results in this study suggest that the FAB mainly reflects the function of the callosomarginal and precentral segments, especially the left side, and that it might be a valid frontal lobe function test.

Original languageEnglish
Pages (from-to)133-138
Number of pages6
JournalDementia and Geriatric Cognitive Disorders
Issue number2
Publication statusPublished - Mar 2009


  • Cerebral blood flow
  • Frontal assessment battery
  • Single photon emission computed tomography
  • Software program 3DSRT

ASJC Scopus subject areas

  • Geriatrics and Gerontology
  • Cognitive Neuroscience
  • Psychiatry and Mental health


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