publication . Article . Other literature type . 2013

Structural interactions within the default mode network identified by Bayesian network analysis in Alzheimer's disease.

Wang, Yan; Chen, Kewei; Yao, Li; Jin, Zhen; Guo, Xiaojuan; the Alzheimer's Disease Neuroimaging Initiative;
Open Access English
  • Published: 28 Aug 2013 Journal: PLoS ONE (issn: 1932-6203, Copyright policy)
  • Publisher: Public Library of Science (PLoS)
Abstract
Alzheimer’s disease (AD) is a well-known neurodegenerative disease that is associated with dramatic morphological abnormalities. The default mode network (DMN) is one of the most frequently studied resting-state networks. However, less is known about specific structural dependency or interactions among brain regions within the DMN in AD. In this study, we performed a Bayesian network (BN) analysis based on regional grey matter volumes to identify differences in structural interactions among core DMN regions in structural MRI data from 80 AD patients and 101 normal controls (NC). Compared to NC, the structural interactions between the medial prefrontal cortex (mP...
Subjects
free text keywords: Medicine, R, Science, Q, Research Article, Biology, Anatomy and Physiology, Neurological System, Neuroanatomy, Neuroscience, Neural Networks, Neuroimaging, Population Biology, Epidemiology, Diagnostic Medicine, Pathology, Biomarker Epidemiology, Neurology, Dementia, Alzheimer Disease, Radiology, Diagnostic Radiology, Magnetic Resonance Imaging
Funded by
NIH| PET, APOE &The Preclinical Course of Alzheimer Disease
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01MH057899-09
  • Funding stream: NATIONAL INSTITUTE OF MENTAL HEALTH
,
NIH| Alzheimers Disease Neuroimaging Initiative
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 1U01AG024904-01
  • Funding stream: NATIONAL INSTITUTE ON AGING
,
NIH| Neuromorphometry in Schizophrenia by Computer Algorithm
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01MH056584-11
  • Funding stream: NATIONAL INSTITUTE OF MENTAL HEALTH
,
CIHR
Project
  • Funder: Canadian Institutes of Health Research (CIHR)
,
NIH| PET, APOE &the Preclinical Course of Alzheimers Disease
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 9R01AG031581-10
  • Funding stream: NATIONAL INSTITUTE ON AGING
Communities
Neuroinformatics
60 references, page 1 of 4

1 Good CD, Johnsrude IS, Ashburner J, Henson RN, Friston KJ, et al (2001) A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 14: 21–36.11525331 [OpenAIRE] [PubMed]

2 Fjell AM, Westlye LT, Grydeland H, Amlien I, Espeseth T, et al.. (2013) Critical ages in the life course of the adult brain: nonlinear subcortical aging. Neurobiol Aging.

3 Jack CJ, Petersen RC, Xu Y, O'Brien PC, Smith GE, et al (2000) Rates of hippocampal atrophy correlate with change in clinical status in aging and AD. Neurology 55: 484–489.10953178 [OpenAIRE] [PubMed]

4 Karas GB, Burton EJ, Rombouts SA, van Schijndel RA, O'Brien JT, et al (2003) A comprehensive study of gray matter loss in patients with Alzheimer's disease using optimized voxel-based morphometry. Neuroimage 18: 895–907.12725765 [PubMed]

5 Baxter LC, Sparks DL, Johnson SC, Lenoski B, Lopez JE, et al (2006) Relationship of cognitive measures and gray and white matter in Alzheimer's disease. J Alzheimers Dis 9: 253–260.16914835 [PubMed]

6 Good CD, Scahill RI, Fox NC, Ashburner J, Friston KJ, et al (2002) Automatic differentiation of anatomical patterns in the human brain: validation with studies of degenerative dementias. Neuroimage 17: 29–46.12482066 [PubMed]

7 Scahill RI, Schott JM, Stevens JM, Rossor MN, Fox NC (2002) Mapping the evolution of regional atrophy in Alzheimer's disease: unbiased analysis of fluid-registered serial MRI. Proc Natl Acad Sci U S A 99: 4703–4707.11930016 [OpenAIRE] [PubMed]

8 Chaim TM, Duran FL, Uchida RR, Perico CA, de Castro CC, et al (2007) Volumetric reduction of the corpus callosum in Alzheimer's disease in vivo as assessed with voxel-based morphometry. Psychiatry Res 154: 59–68.17174533 [PubMed]

9 Salat DH, Greve DN, Pacheco JL, Quinn BT, Helmer KG, et al (2009) Regional white matter volume differences in nondemented aging and Alzheimer's disease. Neuroimage 44: 1247–1258.19027860 [OpenAIRE] [PubMed]

10 Stoub TR, DeToledo-Morrell L, Stebbins GT, Leurgans S, Bennett DA, et al (2006) Hippocampal disconnection contributes to memory dysfunction in individuals at risk for Alzheimer's disease. Proc Natl Acad Sci U S A 103: 10041–10045.16785436 [OpenAIRE] [PubMed]

11 Teipel SJ, Bayer W, Alexander GE, Zebuhr Y, Teichberg D, et al (2002) Progression of corpus callosum atrophy in Alzheimer disease. Arch Neurol 59: 243–248.11843695 [OpenAIRE] [PubMed]

12 Zielinski BA, Gennatas ED, Zhou J, Seeley WW (2010) Network-level structural covariance in the developing brain. Proc Natl Acad Sci U S A 107: 18191–18196.20921389 [OpenAIRE] [PubMed]

13 Brickman AM, Habeck C, Zarahn E, Flynn J, Stern Y (2007) Structural MRI covariance patterns associated with normal aging and neuropsychological functioning. Neurobiol Aging 28: 284–295.16469419 [OpenAIRE] [PubMed]

14 Kasparek T, Marecek R, Schwarz D, Prikryl R, Vanicek J, et al (2010) Source-based morphometry of gray matter volume in men with first-episode schizophrenia. Hum Brain Mapp 31: 300–310.19777553 [OpenAIRE] [PubMed]

15 Alexander GE, Bergfield KL, Chen K, Reiman EM, Hanson KD, et al (2012) Gray matt er network associated with risk for Alzheimer's disease in young to middle-aged adults. Neurobiology of Aging 33: 2723–2732.22405043 [OpenAIRE] [PubMed]

60 references, page 1 of 4
Abstract
Alzheimer’s disease (AD) is a well-known neurodegenerative disease that is associated with dramatic morphological abnormalities. The default mode network (DMN) is one of the most frequently studied resting-state networks. However, less is known about specific structural dependency or interactions among brain regions within the DMN in AD. In this study, we performed a Bayesian network (BN) analysis based on regional grey matter volumes to identify differences in structural interactions among core DMN regions in structural MRI data from 80 AD patients and 101 normal controls (NC). Compared to NC, the structural interactions between the medial prefrontal cortex (mP...
Subjects
free text keywords: Medicine, R, Science, Q, Research Article, Biology, Anatomy and Physiology, Neurological System, Neuroanatomy, Neuroscience, Neural Networks, Neuroimaging, Population Biology, Epidemiology, Diagnostic Medicine, Pathology, Biomarker Epidemiology, Neurology, Dementia, Alzheimer Disease, Radiology, Diagnostic Radiology, Magnetic Resonance Imaging
Funded by
NIH| PET, APOE &The Preclinical Course of Alzheimer Disease
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01MH057899-09
  • Funding stream: NATIONAL INSTITUTE OF MENTAL HEALTH
,
NIH| Alzheimers Disease Neuroimaging Initiative
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 1U01AG024904-01
  • Funding stream: NATIONAL INSTITUTE ON AGING
,
NIH| Neuromorphometry in Schizophrenia by Computer Algorithm
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01MH056584-11
  • Funding stream: NATIONAL INSTITUTE OF MENTAL HEALTH
,
CIHR
Project
  • Funder: Canadian Institutes of Health Research (CIHR)
,
NIH| PET, APOE &the Preclinical Course of Alzheimers Disease
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 9R01AG031581-10
  • Funding stream: NATIONAL INSTITUTE ON AGING
Communities
Neuroinformatics
60 references, page 1 of 4

1 Good CD, Johnsrude IS, Ashburner J, Henson RN, Friston KJ, et al (2001) A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 14: 21–36.11525331 [OpenAIRE] [PubMed]

2 Fjell AM, Westlye LT, Grydeland H, Amlien I, Espeseth T, et al.. (2013) Critical ages in the life course of the adult brain: nonlinear subcortical aging. Neurobiol Aging.

3 Jack CJ, Petersen RC, Xu Y, O'Brien PC, Smith GE, et al (2000) Rates of hippocampal atrophy correlate with change in clinical status in aging and AD. Neurology 55: 484–489.10953178 [OpenAIRE] [PubMed]

4 Karas GB, Burton EJ, Rombouts SA, van Schijndel RA, O'Brien JT, et al (2003) A comprehensive study of gray matter loss in patients with Alzheimer's disease using optimized voxel-based morphometry. Neuroimage 18: 895–907.12725765 [PubMed]

5 Baxter LC, Sparks DL, Johnson SC, Lenoski B, Lopez JE, et al (2006) Relationship of cognitive measures and gray and white matter in Alzheimer's disease. J Alzheimers Dis 9: 253–260.16914835 [PubMed]

6 Good CD, Scahill RI, Fox NC, Ashburner J, Friston KJ, et al (2002) Automatic differentiation of anatomical patterns in the human brain: validation with studies of degenerative dementias. Neuroimage 17: 29–46.12482066 [PubMed]

7 Scahill RI, Schott JM, Stevens JM, Rossor MN, Fox NC (2002) Mapping the evolution of regional atrophy in Alzheimer's disease: unbiased analysis of fluid-registered serial MRI. Proc Natl Acad Sci U S A 99: 4703–4707.11930016 [OpenAIRE] [PubMed]

8 Chaim TM, Duran FL, Uchida RR, Perico CA, de Castro CC, et al (2007) Volumetric reduction of the corpus callosum in Alzheimer's disease in vivo as assessed with voxel-based morphometry. Psychiatry Res 154: 59–68.17174533 [PubMed]

9 Salat DH, Greve DN, Pacheco JL, Quinn BT, Helmer KG, et al (2009) Regional white matter volume differences in nondemented aging and Alzheimer's disease. Neuroimage 44: 1247–1258.19027860 [OpenAIRE] [PubMed]

10 Stoub TR, DeToledo-Morrell L, Stebbins GT, Leurgans S, Bennett DA, et al (2006) Hippocampal disconnection contributes to memory dysfunction in individuals at risk for Alzheimer's disease. Proc Natl Acad Sci U S A 103: 10041–10045.16785436 [OpenAIRE] [PubMed]

11 Teipel SJ, Bayer W, Alexander GE, Zebuhr Y, Teichberg D, et al (2002) Progression of corpus callosum atrophy in Alzheimer disease. Arch Neurol 59: 243–248.11843695 [OpenAIRE] [PubMed]

12 Zielinski BA, Gennatas ED, Zhou J, Seeley WW (2010) Network-level structural covariance in the developing brain. Proc Natl Acad Sci U S A 107: 18191–18196.20921389 [OpenAIRE] [PubMed]

13 Brickman AM, Habeck C, Zarahn E, Flynn J, Stern Y (2007) Structural MRI covariance patterns associated with normal aging and neuropsychological functioning. Neurobiol Aging 28: 284–295.16469419 [OpenAIRE] [PubMed]

14 Kasparek T, Marecek R, Schwarz D, Prikryl R, Vanicek J, et al (2010) Source-based morphometry of gray matter volume in men with first-episode schizophrenia. Hum Brain Mapp 31: 300–310.19777553 [OpenAIRE] [PubMed]

15 Alexander GE, Bergfield KL, Chen K, Reiman EM, Hanson KD, et al (2012) Gray matt er network associated with risk for Alzheimer's disease in young to middle-aged adults. Neurobiology of Aging 33: 2723–2732.22405043 [OpenAIRE] [PubMed]

60 references, page 1 of 4
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