Magnetic Resonance Imaging-Based Neuromorphometry in Single Patients - A Proposal for its Usefulness

被引:1
|
作者
Haenggi, Juergen [1 ]
机构
[1] Univ Zurich, Inst Psychol, Div Neuropsychol, CH-8050 Zurich, Switzerland
关键词
Magnetic resonance imaging; neuromorphometry; grey matter; cortical thickness; fractional anisotropy; single patients; diagnosis; monitoring; semantic dementia; attention deficit hyperactivity disorder; disturbed social behaviour; synaesthesia; McLeod syndrome; VOXEL-BASED MORPHOMETRY; ATTENTION-DEFICIT/HYPERACTIVITY DISORDER; CORTICAL THICKNESS; GRAY-MATTER; FRONTOTEMPORAL DEMENTIA; SEMANTIC DEMENTIA; CEREBRAL-CORTEX; SEX-DIFFERENCES; BRAIN ATROPHY; WHITE;
D O I
10.1024/1016-264X/a000065
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
The usefulness of MRI-based neuromorphometry for the investigation of single patients is described. A longitudinal cortical thickness analysis in a patient revealed lateral temporal lobe atrophy, suggesting rather semantic than frontotemporal dementia. A boy with the diagnosis of ADHD and control boys were compared and showed cortical thickness increases in the patient in the orbitofrontal cortex contradicting ADH D and suggesting disturbed social behaviour. The multiple synaesthetes E. S. was compared with control groups and showed hyperconnectivity between auditory and gustatory brain regions suggesting that interval-taste synaesthesia is rooted in anatomical alterations. McLeod syndrome patients were investigated and revealed severe atrophy of the caudate nucleus bilateral across time. Additionally, statistical recommendations for the comparison of MRI data of single patients are provided.
引用
收藏
页码:81 / 96
页数:16
相关论文
共 50 条
  • [41] Advances in quantitative magnetic resonance imaging-based biomarkers for Alzheimer disease
    Bradford C Dickerson
    Alzheimers Res Ther, 2
  • [42] Magnetic resonance imaging-based artificial intelligence model in rectal cancer
    Wang, Pei-Pei
    Deng, Chao-Lin
    Wu, Bin
    WORLD JOURNAL OF GASTROENTEROLOGY, 2021, 27 (18) : 2122 - 2130
  • [43] Magnetic resonance imaging-based virtual endoscopy of inner ear pathology
    Schreyer, AG
    Seitz, J
    Strutz, T
    Held, P
    OTOLOGY & NEUROTOLOGY, 2002, 23 (02) : 136 - 140
  • [44] Commissioning of Magnetic Resonance Imaging-Based Tumor Tracking and Beam Control
    Green, O.
    Rankine, L.
    Cai, B.
    Santanam, L.
    Kashani, R.
    Sharma, A.
    Senadheera, L.
    Mahaffey, C.
    Mutic, S.
    MEDICAL PHYSICS, 2015, 42 (06) : 3713 - 3713
  • [45] Magnetic resonance imaging-based spirometry for regional assessment of pulmonary function
    Voorhees, A
    An, J
    Berger, KI
    Goldring, RM
    Chen, Q
    MAGNETIC RESONANCE IN MEDICINE, 2005, 54 (05) : 1146 - 1154
  • [46] Magnetic Resonance Imaging-Based Monitoring of the Accumulation of Polyethylene Terephthalate Nanoplastics
    Bashirova, Narmin
    Butenschoen, Erik
    Poppitz, David
    Gass, Henrik
    Halik, Marcus
    Dentel, Doreen
    Tegenkamp, Christoph
    Matysik, Joerg
    Alia, A.
    MOLECULES, 2024, 29 (18):
  • [47] Magnetic Resonance Imaging-Based Screening Study in a General Population of Adolescents
    Angelini, Paolo
    Cheong, Benjamin Y.
    De Rosen, Veronica V. Lenge
    Lopez, J. Alberto
    Uribe, Carlo
    Masso, Anthony H.
    Ali, Syed W.
    Davis, Barry R.
    Muthupillai, Raja
    Willerson, James T.
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2018, 71 (05) : 579 - 580
  • [48] Magnetic resonance imaging-based deep learning for predicting subtypes of glioma
    Yang, Zhen
    Zhang, Peng
    Ding, Yi
    Deng, Liyi
    Zhang, Tong
    Liu, Yong
    FRONTIERS IN NEUROLOGY, 2025, 16
  • [49] Advances in quantitative magnetic resonance imaging-based biomarkers for Alzheimer disease
    Dickerson, Bradford C.
    ALZHEIMERS RESEARCH & THERAPY, 2010, 2 (04)
  • [50] Magnetic resonance imaging-based artificial intelligence model in rectal cancer
    Pei-Pei Wang
    Chao-Lin Deng
    Bin Wu
    World Journal of Gastroenterology, 2021, 27 (18) : 2122 - 2130