“behavioral imaging”: II. Application of the quantitative algorithm to hypothesistesting in a population ofhemiparkinsonian patients

Ruben C. Gur, Andrew Saykin, Lee X. Blonder, Raquel E. Gur

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This study examines the potential of a "behavioral imaging" algorithm presented by Gur et al. (1988, first article of this series) as a method for quantitat-ing neurobehavioral data. Regional ("lobar") values were calculated for hypothesis testing, using neuropsychological test scores obtained in a sample of patients with hemiparkinsonism described in Blonder et al., in press. Patients with left extremity symptoms of Parkinson's disease (N = 7) were compared with patients with right-side symptoms (N = 14) and normal controls (N = 17). Regional lobar values were analyzed statistically using analysis of variance with diagnosis as a grouping factor and lobe and hemisphere as within-group factors. The hypothesis of neuropsychological deficits associated with the hemisphere ipsilateral to the side of presumed striatal deficiency was supported by a significant diagnosis × hemisphere interaction (p <0.01), and regional specificity was suggested by a diagnosis × region × hemisphere interaction (p = 0.01). The effects were sustained when measures of motor functions were excluded. The results support the utility of the algorithm for statistical analysis of neuropsychological data to test hypotheses regarding brain-behavior relationships.

Original languageEnglish (US)
Pages (from-to)87-96
Number of pages10
JournalNeuropsychiatry, Neuropsychology and Behavioral Neurology
Volume1
Issue number2
StatePublished - 1988
Externally publishedYes

Fingerprint

Population
Corpus Striatum
Statistical Data Interpretation
Neuropsychological Tests
Patient Rights
Parkinson Disease
Analysis of Variance
Extremities
Brain

Keywords

  • Behavioral imaging
  • Hypothesis testing
  • Neuropsychology
  • Parkinson's disease

ASJC Scopus subject areas

  • Clinical Neurology
  • Psychiatry and Mental health
  • Neurology
  • Psychology(all)

Cite this

@article{5baf3060829044b29d9c8b12d2ac7206,
title = "“behavioral imaging”: II. Application of the quantitative algorithm to hypothesistesting in a population ofhemiparkinsonian patients",
abstract = "This study examines the potential of a {"}behavioral imaging{"} algorithm presented by Gur et al. (1988, first article of this series) as a method for quantitat-ing neurobehavioral data. Regional ({"}lobar{"}) values were calculated for hypothesis testing, using neuropsychological test scores obtained in a sample of patients with hemiparkinsonism described in Blonder et al., in press. Patients with left extremity symptoms of Parkinson's disease (N = 7) were compared with patients with right-side symptoms (N = 14) and normal controls (N = 17). Regional lobar values were analyzed statistically using analysis of variance with diagnosis as a grouping factor and lobe and hemisphere as within-group factors. The hypothesis of neuropsychological deficits associated with the hemisphere ipsilateral to the side of presumed striatal deficiency was supported by a significant diagnosis × hemisphere interaction (p <0.01), and regional specificity was suggested by a diagnosis × region × hemisphere interaction (p = 0.01). The effects were sustained when measures of motor functions were excluded. The results support the utility of the algorithm for statistical analysis of neuropsychological data to test hypotheses regarding brain-behavior relationships.",
keywords = "Behavioral imaging, Hypothesis testing, Neuropsychology, Parkinson's disease",
author = "Gur, {Ruben C.} and Andrew Saykin and Blonder, {Lee X.} and Gur, {Raquel E.}",
year = "1988",
language = "English (US)",
volume = "1",
pages = "87--96",
journal = "Cognitive and Behavioral Neurology",
issn = "1543-3633",
publisher = "Lippincott Williams and Wilkins",
number = "2",

}

TY - JOUR

T1 - “behavioral imaging”

T2 - II. Application of the quantitative algorithm to hypothesistesting in a population ofhemiparkinsonian patients

AU - Gur, Ruben C.

AU - Saykin, Andrew

AU - Blonder, Lee X.

AU - Gur, Raquel E.

PY - 1988

Y1 - 1988

N2 - This study examines the potential of a "behavioral imaging" algorithm presented by Gur et al. (1988, first article of this series) as a method for quantitat-ing neurobehavioral data. Regional ("lobar") values were calculated for hypothesis testing, using neuropsychological test scores obtained in a sample of patients with hemiparkinsonism described in Blonder et al., in press. Patients with left extremity symptoms of Parkinson's disease (N = 7) were compared with patients with right-side symptoms (N = 14) and normal controls (N = 17). Regional lobar values were analyzed statistically using analysis of variance with diagnosis as a grouping factor and lobe and hemisphere as within-group factors. The hypothesis of neuropsychological deficits associated with the hemisphere ipsilateral to the side of presumed striatal deficiency was supported by a significant diagnosis × hemisphere interaction (p <0.01), and regional specificity was suggested by a diagnosis × region × hemisphere interaction (p = 0.01). The effects were sustained when measures of motor functions were excluded. The results support the utility of the algorithm for statistical analysis of neuropsychological data to test hypotheses regarding brain-behavior relationships.

AB - This study examines the potential of a "behavioral imaging" algorithm presented by Gur et al. (1988, first article of this series) as a method for quantitat-ing neurobehavioral data. Regional ("lobar") values were calculated for hypothesis testing, using neuropsychological test scores obtained in a sample of patients with hemiparkinsonism described in Blonder et al., in press. Patients with left extremity symptoms of Parkinson's disease (N = 7) were compared with patients with right-side symptoms (N = 14) and normal controls (N = 17). Regional lobar values were analyzed statistically using analysis of variance with diagnosis as a grouping factor and lobe and hemisphere as within-group factors. The hypothesis of neuropsychological deficits associated with the hemisphere ipsilateral to the side of presumed striatal deficiency was supported by a significant diagnosis × hemisphere interaction (p <0.01), and regional specificity was suggested by a diagnosis × region × hemisphere interaction (p = 0.01). The effects were sustained when measures of motor functions were excluded. The results support the utility of the algorithm for statistical analysis of neuropsychological data to test hypotheses regarding brain-behavior relationships.

KW - Behavioral imaging

KW - Hypothesis testing

KW - Neuropsychology

KW - Parkinson's disease

UR - http://www.scopus.com/inward/record.url?scp=0024248190&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024248190&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0024248190

VL - 1

SP - 87

EP - 96

JO - Cognitive and Behavioral Neurology

JF - Cognitive and Behavioral Neurology

SN - 1543-3633

IS - 2

ER -