| Literature DB >> 26191037 |
Benito de Celis Alonso1, Silvia S Hidalgo-Tobón2, Manuel Menéndez-González3, José Salas-Pacheco4, Oscar Arias-Carrión5.
Abstract
Parkinson's disease (PD) affects at least 10 million people worldwide. It is a neurodegenerative disease, which is currently diagnosed by neurological examination. No neuroimaging investigation or blood biomarker is available to aid diagnosis and prognosis. Most effort toward diagnosis using magnetic resonance (MR) has been focused on the use of structural/anatomical neuroimaging and diffusion tensor imaging (DTI). However, deep brain stimulation, a current strategy for treating PD, is guided by MR imaging (MRI). For clinical prognosis, diagnosis, and follow-up investigations, blood oxygen level-dependent MRI, DTI, spectroscopy, and transcranial magnetic stimulation have been used. These techniques represent the state of the art in the last 5 years. Here, we focus on MR techniques for the diagnosis and treatment of Parkinson's disease.Entities:
Keywords: MRI; Parkinson’s disease; TMS; diffusion MRI; neuroimaging
Year: 2015 PMID: 26191037 PMCID: PMC4490248 DOI: 10.3389/fneur.2015.00146
Source DB: PubMed Journal: Front Neurol ISSN: 1664-2295 Impact factor: 4.003
Figure 1Progression of Parkinson’s disease. Degeneration of dopaminergic neuronal loss is correlated with motor and non-motor symptoms in PD patients. The graph starts at a time 0 when dopaminergic neuronal loss starts, and ends after 18 years, which was selected arbitrarily as no large physiological changes are expected after 10 years. When motor symptoms increase, significant neuroimaging differences can be found using MR and TMS techniques.
Task-based BOLD-fMRI studies focusing on the brain areas affected in Parkinson’s disease.
| Task | Group description | Activity of group 1 higher that group 2 | Activity of group 1 low that group 2 | Reference |
|---|---|---|---|---|
| Tactile stimulation | PD patients (1) vs. healthy control volunteers | R. primary sensory, R. motor cortex, R. supplementary motor area, B. caudate, B. precuneus, B. occipital visual cortex, L. and M. temporal gyrus | ( | |
| Time perception task | PD patients (1) vs. healthy control volunteers and medical patients (2) | Precuneus (after long stimuli) | ( | |
| Gambling | Non-Pathological gamblers whit PD (1) vs. Pathological gamblers with PD (2) | B. anterior cingulate cortex, M. and S. frontal gyri, precuneus, R. I. parietal lobule, ventral striatum | ( | |
| Imaginary gait | PD patients experiencing freezing (1) vs. PDs not experiencing freezing (2) | ( | ||
| Hand movement | PD patients with (1) and without (2) mirror movements syndrome | R. dorsolateral prefrontal cortex, M. prefrontal cortex, Pre-supplementary motor area, Occipital Cortex | ( | |
| Balloon analog risk task | PD patients with an impulse-control disorder (1) vs. PD patients without and impulse-control disorder (2) | R. ventral striatum | ( | |
| Speech | PD patients (1) vs. healthy control volunteers | Primary orofacial sensorimotor cortex | ( | |
| Saccade | PD patients (1) vs. healthy control volunteers | Frontal and supplementary eye fields | L. and R. cerebellum contralateral motor cortex | ( |
| Finger tapping | PD patients (1) vs. healthy control volunteers | Putamen, supplementary motor area | R. prefrontal cortex, R. caudate | ( |
Here, we show the results from BOLD-fMRI studies performed on PD patients in the last few years. Data are presented in five columns. The task and ability involved appears first. A description of the groups compared is presented in column two. Column three shows areas of the brain with significant differences, which were smaller for the first group vs. the second. The fourth column is similar to the third but with an inverted comparison. The last column presents the author and year of publication.
L, left; R, right; B, bilaterally; M, medial; S, superior.
Spectroscopic studies in Parkinson’s disease.
| Group description | Affected region | Chemical or ratio studied | Variation between group 1 and 2 | Reference |
|---|---|---|---|---|
| Control (Group 1), PD patients (2) | SMA | NAA:Cr | Reduced in PD patients | ( |
| Control (Group 1), PD patients (2) | Motor cortex | Cho:Cr and NAA:Cr | Reduced Cho:Cr and NAA:Cr in PD patients. Differences in the Cho:Cr tend to disappear after dopamine treatment | ( |
| Control (Group 1), PD patients (2) | Posterior cingulate gyrus | Glu:Cr, NAA:Cr, Cho:Cr | Reduced Glu:Cr in PD patients | ( |
| PD patients with mild cognitive impairment (Group 1) Normal PD patients (Group 2) | Posterior cingulate gyrus, occipital lobe | NAA:Cr | Reduced NAA:Cr for PD patients with mild cognitive impairment | ( |
| Control (Group 1), PD patients (2) | Anterior and posterior cingulate cortex | NAA:Cr | Reduced in anterior cingulate cortex for PD patients. Not in posterior cingulate cortex | ( |
| Control (Group 1), PD patients (2) | Substantia nigra | NAA:Cr | Reduced NAA:Cr for PD patients | ( |
| Control (Group 1), PD patients (2) | Substantia nigra | NAA:Cr, NAA:Cho, NAA:(Cho + Cr) | All ratios reduced for PD patients vs. control. All ratios reduced damage hemispheres of PD patients vs. healthy hemisphere | ( |
| Control (Group 1), PD patients (2) | Putamen, pons | GABA | Higher for PD patients vs. control | ( |
Here, we show results based on spectroscopy in PD patients in the last few years. Data are presented in five columns. The groups compared appear first. The brain area studied is presented in column two. Column three shows the metabolite or the ratio studied. The fourth column shows the differences in this ratio or metabolite between groups. The last column presents the author and year of publication.
Magnetic resonance technology in Parkinson’s disease.
| Technique | Physical principle used | Use | Applications in PD |
|---|---|---|---|
| Anatomical magnetic resonance imaging (MRI) | Resonance signal of water content in tissues | Anatomical marker of pathologies and injures | Complements PD diagnosis excluding other |
| Diffusion tensor imaging (DTI) | Diffusion of water molecular in tissues | Marker of whit matter connections | Detecting white tract degeneration to use as biomarker |
| Resting state functional magnetic resonance (RS-MRI) | Low frequency oscillations of BOLD response | Indirect marker of neural connectivity | Study alterations of resting state networks due to PD. This aimed at finding a biomarker for diagnosis, as an indicator of treatment viability and as an indicator of the neurophysiology under symptoms from PD. Also used to study cortical plasticity |
| Functional magnetic resonance imaging (BLOD-fMRI) | Magnetic properties of blood | Indirect marker of neural activity (hemodynamic response) | Hypo–active Blood-fMRI signals in basal ganglia as well as motion brain structures for PD patients. Big influence of medications on result |
| Magnetic resonance spectroscopy (MRs) | Spectroscopic properties of chemical components of tissues | Marker of the amount of chemicals in tissues | Neuronal loss on basal ganglia assessed thought the NAA:Cr ratio. Increased GABA and decreased NAA:Cho, NAA:(Cho + Cr) for PD patients vs. Control |
| Magnetic resonance perfusion (MRP) | Flow and its characteristics in and outs tissues using RF pulses | Marker of: flow, transit time, time to peak and volume of blood to a tissue | Hypo–perfusion in same regions in which BLOD-fMRI presented hypo-activations for PD patients |
| Transcranial magnetic stimulation (TMS) | Induction of electrical and magnetic fields in a tissue using RF pulse | Activation and deactivation of brain regions | Assessment of the effects of cortical plasticity. Effect of TMS and rTMS on muscle function. Assessment of brain regions involved in PD symptoms production |
| Repetitive transcranial magnetic stimulation (rTMS) | As TMS, but repeated regulatory | As TMS but with regular repetitions | Assessment of the effects of cortical plasticity. Effect of TMS and rTMS on muscle function. Assessment of brain regions involved in PD symptoms production |
The first column shows MR techniques used for the diagnostic and research of PD. The second presents the physical properties of the technology used. The third, the use they have in general, and the fourth, specific applications in PD studies.