Controlling the familywise error rate in functional neuroimaging: a comparative review

T Nichols, S Hayasaka - Statistical methods in medical …, 2003 - journals.sagepub.com
… Owing to recent developments, improved Bonferroni procedures, such as Hochberg’s
methods, are now applicable to dependent data. Continuous random field methods use the …

The brain as a complex system: using network science as a tool for understanding the brain

…, SL Simpson, JH Burdette, S Hayasaka… - Brain …, 2011 - liebertpub.com
… Although it is easy to focus on a single network metric summarizing one aspect of the network’s
Hayasaka SLaurienti PJ2010Comparison of characteristics between region-and voxel-…

Gene-expression profiles predict survival of patients with lung adenocarcinoma

…, DG Thomas, ML Lizyness, R Kuick, S Hayasaka… - Nature medicine, 2002 - nature.com
Histopathology is insufficient to predict disease progression and clinical outcome in lung
adenocarcinoma. Here we show that gene-expression profiles based on microarray analysis …

Interferon associated retinopathy

S Hayasaka, Y Nagaki, M Matsumoto… - British journal of …, 1998 - bjo.bmj.com
… If you wish to reuse any or all of this article please use the link below which will take you to
the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and …

Nonstationary cluster-size inference with random field and permutation methods

S Hayasaka, KL Phan, I Liberzon, KJ Worsley… - Neuroimage, 2004 - Elsevier
… If ε i (v)'s are independent and identically normally distributed, then the statistic image T can
be calculated as T(v)= c β ̂ (v) c(X′X) −1 c′ σ ̂ (v) where c is a row vector expressing the …

Validating cluster size inference: random field and permutation methods

S Hayasaka, TE Nichols - Neuroimage, 2003 - Elsevier
S max . The rationale behind using the null distribution of S max is that the probability of
observing S max larger than s is … one or more clusters being greater than s, the event of a family-…

The ubiquity of small-world networks

QK Telesford, KE Joyce, S Hayasaka, JH Burdette… - 2011 - liebertpub.com
… geodesic distances in case of fragmentation (Hayasaka and Laurienti 2010; Latora and
Marchiori… Hayasaka SLaurienti PJ2010Comparison of characteristics between region- and voxel-…

Bacterial endophthalmitis after small-incision cataract surgery: effect of incision placement and intraocular lens type

Y Nagaki, S Hayasaka, C Kadoi, M Matsumoto… - Journal of Cataract & …, 2003 - Elsevier
S aureus and S epidermidis were sensitive to vancomycin. Methicillin-resistant S aureus
and methicillin-resistant S … Han et al.15 report that isolates of gram-positive S aureus and …

Hypoperfusion in frontotemporal dementia and Alzheimer disease by arterial spin labeling MRI

AT Du, GH Jahng, S Hayasaka, JH Kramer, HJ Rosen… - Neurology, 2006 - AAN Enterprises
Objectives: To test if arterial spin labeling (ASL) MRI could detect a pattern of hypoperfusion
in frontotemporal dementia (FTD) vs cognitively normal (CN) control subjects; to determine …

Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI data

S Hayasaka, PJ Laurienti - Neuroimage, 2010 - Elsevier
… First, although our use of S values enabled us to reduce the inter-subject variability in
some network metrics, it is not clear which S value would be appropriate for a comparison of …