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1.
Clin Neurophysiol ; 157: 48-60, 2024 01.
Article in English | MEDLINE | ID: mdl-38056370

ABSTRACT

OBJECTIVE: Spatial memory deficits are an early symptom in Alzheimer's disease (AD), reflecting the neurodegenerative processes in the neuronal navigation network such as in hippocampal and parietal cortical areas. As no effective treatment options are available, neuromodulatory interventions are increasingly evaluated. Against this backdrop, we investigated the neuromodulatory effect of anodal transcranial direct current stimulation (tDCS) on hippocampal place learning in patients with AD or mild cognitive impairment (MCI). METHODS: In this randomized, double-blind, sham-controlled study with a cross-over design anodal tDCS of the right temporoparietal junction (2 mA for 20 min) was applied to 20 patients diagnosed with AD or MCI and in 22 healthy controls while they performed a virtual navigation paradigm testing hippocampal place learning. RESULTS: We show an improved recall performance of hippocampal place learning after anodal tDCS in the patient group compared to sham stimulation but not in the control group. CONCLUSIONS: These results suggest that tDCS can facilitate spatial memory consolidation via stimulating the parietal-hippocampal navigation network in AD and MCI patients. SIGNIFICANCE: Our findings suggest that tDCS of the temporoparietal junction may restore spatial navigation and memory deficits in patients with AD and MCI.


Subject(s)
Alzheimer Disease , Cognitive Dysfunction , Transcranial Direct Current Stimulation , Humans , Alzheimer Disease/therapy , Cognitive Dysfunction/therapy , Hippocampus , Memory Disorders , Spatial Learning , Transcranial Direct Current Stimulation/methods , Double-Blind Method
2.
Brain Topogr ; 29(5): 645-60, 2016 09.
Article in English | MEDLINE | ID: mdl-27438589

ABSTRACT

Recently, interest has been growing to understand the underlying dynamic directional relationship between simultaneously activated regions of the brain during motor task performance. Such directionality analysis (or effective connectivity analysis), based on non-invasive electrophysiological (electroencephalography-EEG) and hemodynamic (functional near infrared spectroscopy-fNIRS; and functional magnetic resonance imaging-fMRI) neuroimaging modalities can provide an estimate of the motor task-related information flow from one brain region to another. Since EEG, fNIRS and fMRI modalities achieve different spatial and temporal resolutions of motor-task related activation in the brain, the aim of this study was to determine the effective connectivity of cortico-cortical sensorimotor networks during finger movement tasks measured by each neuroimaging modality. Nine healthy subjects performed right hand finger movement tasks of different complexity (simple finger tapping-FT, simple finger sequence-SFS, and complex finger sequence-CFS). We focused our observations on three cortical regions of interest (ROIs), namely the contralateral sensorimotor cortex (SMC), the contralateral premotor cortex (PMC) and the contralateral dorsolateral prefrontal cortex (DLPFC). We estimated the effective connectivity between these ROIs using conditional Granger causality (GC) analysis determined from the time series signals measured by fMRI (blood oxygenation level-dependent-BOLD), fNIRS (oxygenated-O2Hb and deoxygenated-HHb hemoglobin), and EEG (scalp and source level analysis) neuroimaging modalities. The effective connectivity analysis showed significant bi-directional information flow between the SMC, PMC, and DLPFC as determined by the EEG (scalp and source), fMRI (BOLD) and fNIRS (O2Hb and HHb) modalities for all three motor tasks. However the source level EEG GC values were significantly greater than the other modalities. In addition, only the source level EEG showed a significantly greater forward than backward information flow between the ROIs. This simultaneous fMRI, fNIRS and EEG study has shown through independent GC analysis of the respective time series that a bi-directional effective connectivity occurs within a cortico-cortical sensorimotor network (SMC, PMC and DLPFC) during finger movement tasks.


Subject(s)
Fingers , Motor Cortex/diagnostic imaging , Movement/physiology , Prefrontal Cortex/diagnostic imaging , Sensorimotor Cortex/diagnostic imaging , Adult , Axon Guidance , Electroencephalography , Female , Functional Neuroimaging , Hand , Healthy Volunteers , Humans , Magnetic Resonance Imaging , Male , Motor Cortex/physiology , Prefrontal Cortex/physiology , Sensorimotor Cortex/physiology , Spectroscopy, Near-Infrared , Task Performance and Analysis , Young Adult
3.
Annu Int Conf IEEE Eng Med Biol Soc ; 2016: 5533-5536, 2016 Aug.
Article in English | MEDLINE | ID: mdl-28269510

ABSTRACT

Deep brain stimulation of subthalamic nucleus (STN-DBS) became a standard therapeutic option in Parkinson's disease (PD), even though the underlying modulated network of STN-DBS is still poorly described. Probabilistic tractography and connectivity analysis as derived from diffusion tensor imaging (DTI) were performed together with modelling of implanted electrode positions and linked postoperative clinical outcome. Fifteen patients with idiopathic PD without dementia were selected for DBS treatment. After pre-processing, probabilistic tractography was run from cortical and subcortical seeds of the hypothesized network to targets represented by the positions of the active DBS contacts. The performed analysis showed that the projections of the stimulation site to supplementary motor area (SMA) and primary motor cortex (M1) are mainly involved in the network effects of STN-DBS. An involvement of the "hyperdirected pathway" and a clear delimitation of the cortico-spinal tract were demonstrated. This study shows the effects of STN-DBS in PD distinctly rely on the network connections of the stimulated region to M1 and SMA, motor and premotor regions.


Subject(s)
Deep Brain Stimulation/methods , Diffusion Tensor Imaging/methods , Parkinson Disease/therapy , Aged , Brain/diagnostic imaging , Brain/physiopathology , Deep Brain Stimulation/instrumentation , Electrodes, Implanted , Female , Humans , Male , Middle Aged , Motor Cortex/physiology , Nerve Net , Parkinson Disease/diagnostic imaging , Subthalamic Nucleus/physiology , Treatment Outcome
4.
J Neurol ; 262(7): 1655-64, 2015 Jul.
Article in English | MEDLINE | ID: mdl-25929656

ABSTRACT

Camptocormia in Parkinson's disease (PD) is an axial postural disorder usually accompanied by histopathological changes in the paravertebral muscles of unknown etiology. The diagnostic potential of magnetic resonance imaging (MRI) of back muscles in camptocormia has not been systematically assessed. Our objective was to characterize pathological muscle changes with MRI and to develop radiological criteria for camptocormia. The criteria edema, swelling and fatty degeneration in 20 idiopathic PD patients with camptocormia were assessed using MRI (T1w and short tau inversion recovery (STIR) sequences) of the lumbar trunk muscles and compared with 20 group-matched PD patients without camptocormia. Edema and fatty degeneration of the paravertebral muscles were significantly more frequent in camptocormia. Edema correlated negatively and fatty degeneration positively with the duration of camptocormia and not PD. Swelling of the paravertebral muscles, edema and swelling of the quadratus lumborum muscle and rare edema of the psoas muscle were only found in camptocormia patients. In this case-control study the defined MRI criteria distinguish the group of PD patients with camptocormia versus those without. Our findings suggest dynamic changes in the MRI signals over time in the paravertebral muscles: edema and swelling are found initially, followed by fatty atrophic degeneration 2-3 years after the beginning of camptocormia. Muscle MRI qualifies as a tool for categorizing phases of camptocormia as acute or chronic, with potential consequences for therapeutic approaches. The involvement of muscles beyond an isolated impairment of the paravertebral muscles implies a more systemic view with a deregulation of lumbar trunk muscles.


Subject(s)
Magnetic Resonance Imaging , Muscle, Skeletal/pathology , Muscular Atrophy, Spinal/pathology , Parkinson Disease/pathology , Spinal Curvatures/pathology , Adipose Tissue/pathology , Aged , Case-Control Studies , Edema/etiology , Female , Humans , Image Processing, Computer-Assisted , Longitudinal Studies , Male , Middle Aged , Muscle, Skeletal/physiopathology , Spinal Cord/pathology , Statistics as Topic
5.
Biol Lett ; 10(5): 20140200, 2014 May.
Article in English | MEDLINE | ID: mdl-24850896

ABSTRACT

Human faces can motivate nurturing behaviour or sexual behaviour when adults see a child or an adult face, respectively. This suggests that face processing is tuned to detecting age cues of sexual maturity to stimulate the appropriate reproductive behaviour: either caretaking or mating. In paedophilia, sexual attraction is directed to sexually immature children. Therefore, we hypothesized that brain networks that normally are tuned to mature faces of the preferred gender show an abnormal tuning to sexual immature faces in paedophilia. Here, we use functional magnetic resonance imaging (fMRI) to test directly for the existence of a network which is tuned to face cues of sexual maturity. During fMRI, participants sexually attracted to either adults or children were exposed to various face images. In individuals attracted to adults, adult faces activated several brain regions significantly more than child faces. These brain regions comprised areas known to be implicated in face processing, and sexual processing, including occipital areas, the ventrolateral prefrontal cortex and, subcortically, the putamen and nucleus caudatus. The same regions were activated in paedophiles, but with a reversed preferential response pattern.


Subject(s)
Brain/physiopathology , Face , Pedophilia/physiopathology , Sexuality , Age Factors , Case-Control Studies , Female , Humans , Magnetic Resonance Imaging , Male
6.
Article in English | MEDLINE | ID: mdl-23366380

ABSTRACT

Directionality analysis of signals originating from different parts of brain during motor tasks has gained a lot of interest. Since brain activity can be recorded over time, methods of time series analysis can be applied to medical time series as well. Granger Causality is a method to find a causal relationship between time series. Such causality can be referred to as a directional connection and is not necessarily bidirectional. The aim of this study is to differentiate between different motor tasks on the basis of activation maps and also to understand the nature of connections present between different parts of the brain. In this paper, three different motor tasks (finger tapping, simple finger sequencing, and complex finger sequencing) are analyzed. Time series for each task were extracted from functional magnetic resonance imaging (fMRI) data, which have a very good spatial resolution and can look into the sub-cortical regions of the brain. Activation maps based on fMRI images show that, in case of complex finger sequencing, most parts of the brain are active, unlike finger tapping during which only limited regions show activity. Directionality analysis on time series extracted from contralateral motor cortex (CMC), supplementary motor area (SMA), and cerebellum (CER) show bidirectional connections between these parts of the brain. In case of simple finger sequencing and complex finger sequencing, the strongest connections originate from SMA and CMC, while connections originating from CER in either direction are the weakest ones in magnitude during all paradigms.


Subject(s)
Evoked Potentials, Motor/physiology , Magnetic Resonance Imaging/methods , Motor Cortex/physiology , Motor Skills/physiology , Movement/physiology , Nerve Net/physiology , Task Performance and Analysis , Algorithms , Brain Mapping/methods , Fingers/physiology , Humans
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