Article
Neurosciences
Joshua W. Callahan, David L. Wokosin, Mark D. Bevan
Summary: This study used optogenetics and electrophysiology to reveal some characteristics of early Huntington's disease, including abnormal activity of the indirect pathway neurons and changes in inhibitory mechanisms.
JOURNAL OF NEUROSCIENCE
(2022)
Review
Clinical Neurology
Roopa Rajan, Kanwaljeet Garg, Achal. K. Srivastava, Manmohan Singh
Summary: In advanced Parkinson's disease (PD), subthalamic nucleus deep brain stimulation (STN-DBS) provides greater improvement in patient and clinician relevant outcomes compared to globus pallidus interna (GPi) DBS and intrajejunal levodopa infusion (IJLI). Unilateral pallidotomy may be beneficial for motor symptoms and activities of daily living in resource limited settings, although overall quality of life may not be improved.
MOVEMENT DISORDERS
(2022)
Article
Clinical Neurology
Leon Sobesky, Lukas Goede, Vincent J. J. Odekerken, Qiang Wang, Ningfei Li, Clemens Neudorfer, Nanditha Rajamani, Bassam Al-Fatly, Martin Reich, Jens Volkmann, Rob M. A. de Bie, Andrea A. Kuehn, Andreas Horn
Summary: This study investigated the connectivity profiles of deep brain stimulation electrodes in patients with Parkinson's disease and found a common functional network between subthalamic and pallidal stimulation that is associated with optimal clinical improvements. Furthermore, the study showed that connectivity maps based on different motor symptom subscores can predict treatment outcomes.
Article
Neurosciences
Michael De Pretto, Michael Mouthon, Ines Debove, Claudio Pollo, Michael Schuepbach, Lucas Spierer, Ettore A. Accolla
Summary: The study found no behavioral effects of deep brain stimulation of the subthalamic nucleus or internal globus pallidus on proactive inhibition in Parkinson's disease patients, despite an overall improvement in motor performance with subthalamic nucleus stimulation. The results suggest a partly segregated network for proactive inhibition in the subthalamic nucleus group, with a preferential recruitment of the indirect pathway.
HUMAN BRAIN MAPPING
(2021)
Review
Clinical Neurology
Arif Abdulbaki, Amr Jijakli, Joachim K. Krauss
Summary: This meta-analysis summarizes the data on deep brain stimulation (DBS) for hemidystonia and suggests that DBS can be considered as a treatment option for this condition. The posteroventral lateral GPi is the most commonly used target for stimulation.
PARKINSONISM & RELATED DISORDERS
(2023)
Article
Clinical Neurology
Suzhen Lin, Yimei Shu, Chencheng Zhang, Lingbing Wang, Peng Huang, Yixin Pan, Jianqing Ding, Bomin Sun, Dianyou Li, Yiwen Wu
Summary: This study compared the effectiveness of targeting the globus pallidus internus (GPi) and the subthalamic nucleus (STN) in patients with isolated dystonia. The results showed that STN-DBS had superior effects at 1 month, 1 year, and 3 years, while GPi-DBS was better for axis symptoms, particularly for trunk involvement. STN-DBS was also more effective for symptoms involving the eyes and generalized dystonia, and required less electrical energy.
EUROPEAN JOURNAL OF NEUROLOGY
(2023)
Article
Clinical Neurology
Junhuai Zhang, Jiayu Li, Fang Chen, Xingzhi Liu, Chun Jiang, Xinghua Hu, Lin Ma, Zhongye Xu
Summary: Both STN and GPi-DBS were equally effective in improving motor dysfunction in patients with APD. However, STN-DBS showed superiority in reducing medication usage, while GPi-DBS may lead to less dyskinesia and improved activities of daily living. Further studies comparing adverse events and quality of life between these two targets are needed.
CLINICAL NEUROLOGY AND NEUROSURGERY
(2021)
Article
Neurosciences
Maria Paap, Stefanie Perl, Anika Luttig, Franz Plocksties, Christoph Niemann, Dirk Timmermann, Christian Bahls, Ursula van Rienen, Denise Franz, Monique Zwar, Marco Rohde, Rudiger Koehling, Angelika Richter
Summary: This study examined the effects of bilateral electrical stimulation at different frequencies on the severity of dystonia in mutant hamsters. The results showed that 130 Hz DBS was most effective, 40 Hz provided antidystonic effects, while 15 Hz and 130 Hz stimulations did not show significant effects.
NEUROBIOLOGY OF DISEASE
(2021)
Article
Clinical Neurology
Kyle T. Mitchell, Stephen L. Schmidt, Jeffrey W. Cooney, Warren M. Grill, Jennifer Peters, Shervin Rahimpour, Hui-Jie Lee, Sin-Ho Jung, Sneha Mantri, Burton Scott, Shivanand P. Lad, Dennis A. Turner
Summary: This study demonstrates that combined stimulation of the subthalamic nucleus (STN) and globus pallidus (GP) through deep brain stimulation (DBS) leads can improve symptom control in patients with Parkinson's disease. It also suggests the potential for biomarker discovery for adaptive DBS therapy.
Article
Clinical Neurology
Ahmad Alhourani, Scott A. Wylie, Jessica E. Summers, Fenna T. Phibbs, Elise B. Bradley, Joseph S. Neimat, Nelleke C. Van Wouwe
Summary: The study aimed to develop predictive models of postoperative VF decline in DBS using a machine learning approach.
Article
Clinical Neurology
Nicholas Dietz, Ahmad Alhourani, Scott A. Wylie, Jessica L. McDonnell, Fenna T. Phibbs, Benoit M. Dawant, William J. Rodriguez, Elise B. Bradley, Joseph S. Neimat, Nelleke C. van Wouwe
Summary: Deep brain stimulation (DBS) of the Subthalamic Nucleus (STN) and Globus Pallidus (GPi) in Parkinson's disease (PD) patients have similar effects on inhibitory control processes.
CLINICAL NEUROPHYSIOLOGY
(2022)
Review
Medicine, General & Internal
Marwan Hariz, Patric Blomstedtl
Summary: Parkinson's disease is a progressive neurodegenerative illness with motor and nonmotor symptoms. Deep brain stimulation is an effective symptomatic treatment that can be tailored to individual patients. DBS has significant effects on tremors, rigidity, and dyskinesias, but less responsive for axial symptoms. Specialized multidisciplinary teams are required for DBS in PD.
JOURNAL OF INTERNAL MEDICINE
(2022)
Article
Multidisciplinary Sciences
Kanishk Chauhan, Ali Khaledi-Nasab, Alexander B. Neiman, Peter A. Tass
Summary: This study investigates the dynamics of Kuramoto oscillator networks with two adaptation processes. It finds that adding structural plasticity optimizes the synchronized state and leads to correlations between oscillators' natural frequencies and node degrees. Moreover, networks with a combination of spike-timing-dependent plasticity (STDP) and structural plasticity may require stronger and longer stimulation to switch between states.
SCIENTIFIC REPORTS
(2022)
Article
Neurosciences
Adriana Galvan, Thomas Wichmann
Summary: This study examines the occurrence of repeating sequences of interspike intervals in the firing activity of basal ganglia neurons in Parkinson's disease. The results show that neurons in certain structures fire in recognizable sequences, and the incidence of these sequences is influenced by the induction of Parkinson's disease.
JOURNAL OF NEUROPHYSIOLOGY
(2023)
Article
Neurosciences
Bing Hu, Minbo Xu, Zhizhi Wang, Danhua Jiang, Dingjiang Wang, Dongmei Zhang
Summary: Excessive synchronous oscillation activities in the brain are a key pathological feature of Parkinson's disease, and the mechanism behind it is still unclear. This study uses a STN-GPe mean-field model to explore the onset mechanism of Parkinson's oscillation and finds that various oscillation frequency bands can appear in the network. In addition to coupling weight between STN and GPe, delay is also a critical factor affecting oscillatory activities.
COGNITIVE NEURODYNAMICS
(2021)
Article
Psychology, Clinical
Debo Dong, Dezhong Yao, Yulin Wang, Seok-Jun Hong, Sarah Genon, Fei Xin, Kyesam Jung, Hui He, Xuebin Chang, Mingjun Duan, Boris C. Bernhardt, Daniel S. Margulies, Jorge Sepulcre, Simon B. Eickhoff, Cheng Luo
Summary: This study investigated the pathological interaction of sensory and cognitive function in schizophrenia and its relationship to system-level imbalance. The results revealed a compression of the cortical hierarchy organization, leading to a diminished separation between sensory and cognitive systems. Furthermore, the analysis showed reduced connectivity within unimodal regions and increased connectivity between unimodal regions and other areas. These findings suggest that disruptions in the somatosensory-motor system and inefficient integration of sensory information contribute to high-level cognitive deficits in schizophrenia.
PSYCHOLOGICAL MEDICINE
(2023)
Article
Psychology, Experimental
Lya K. Paas Oliveros, Aleks Pieczykolan, Rachel N. Plaeschke, Simon B. Eickhoff, Robert Langner
Summary: Difficulties in performing two tasks at once increase with age. Conflicting response codes can lead to interference, and this interference is more pronounced in older adults, suggesting deficits in multiple-action control.
PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG
(2023)
Article
Clinical Neurology
Lukas Hensel, Fabian Lange, Caroline Tscherpel, Shivakumar Viswanathan, Jana Freytag, Lukas J. Volz, Simon B. Eickhoff, Gereon R. Fink, Christian Grefkes
Summary: This study assessed the contributions of the ipsilesional and contralesional anterior intraparietal cortex (aIPS) for hand motor function in stroke patients and found increased resting-state connectivity in patients with good motor outcome. Interhemispheric connectivity was also found to be correlated with better motor performance.
Review
Anesthesiology
Alina T. Henn, Bart Larsen, Lennart Frahm, Anna Xu, Azeez Adebimpe, J. Cobb Scott, Sophia Linguiti, Vaishnavi Sharma, Allan Basbaum, Gregory Corder, Robert H. Dworkin, Robert R. Edwards, Clifford J. Woolf, Ute Habel, Simon B. Eickhoff, Claudia R. Eickhoff, Lisa Wagels, Theodore D. Satterthwaite
Summary: Neuroimaging is a powerful tool for studying the relationship between chronic pain and brain structure. A meta-analysis of structural magnetic imaging studies found subtle but widespread alterations in brain structure associated with chronic pain. These alterations primarily occurred in brain regions involved in pain processing.
Review
Neurosciences
Ji Chen, Kaustubh R. Patil, B. T. Thomas Yeo, Simon B. Eickhoff
Summary: Much attention is being paid to developing diagnostic classifiers for mental disorders. In addition, machine learning is highlighted as a potential tool for gaining biological insights into the psychopathology and nosology of mental disorders. Brain imaging data, obtained noninvasively from large cohorts, has been used in studies to reveal intermediate phenotypes and refine the taxonomy of mental illness. Machine learning models' accuracy can identify pathophysiology-related features, addressing the dimensional and overlapping symptomatology of psychiatric illness. A multiview perspective combining molecular and system-level data and efforts toward data-driven definition of subtypes or disease entities through unsupervised and semisupervised approaches have also been emphasized.
BIOLOGICAL PSYCHIATRY
(2023)
Article
Neurosciences
Marisa K. Heckner, Edna C. Cieslik, Kaustubh R. Patil, Martin Gell, Simon B. Eickhoff, Felix Hoffstaedter, Robert Langner
Summary: Healthy aging is associated with changes in executive functioning (EF) and resting-state functional connectivity (RSFC) within brain networks. However, it is unclear how RSFC in EF-associated networks predicts individual EF performance. This study found low prediction accuracies and a lack of specificity regarding neurobiological networks for predicting EF abilities, suggesting the need for future research with different task states, brain modalities, larger samples, and more comprehensive measures.
Article
Neurosciences
Andy Wai Kan Yeung, Michaela Robertson, Angela Uecker, Peter T. Fox, Simon B. Eickhoff
Summary: The literature of neuroimaging meta-analysis, particularly the activation likelihood estimation (ALE) approach, has been thriving for over a decade. A meta-evaluation of these meta-analyses was performed to evaluate their design and reporting standards. The study found that the use of cluster-level family-wise error (FWE) correction method has become dominant, and there has been slight improvement in reporting on data redundancy elimination and providing input data. However, there is still room for improvement in terms of data and code availability statements and data submission to BrainMap.
HUMAN BRAIN MAPPING
(2023)
Article
Medicine, Research & Experimental
Anthony J. J. Piscopo, Mark C. C. Dougherty, Timothy R. R. Woodiwiss, Nii-Kwanchie Ankrah, Tyler Hughes, Scott C. C. Seaman, Jarrett E. E. Walsh, Scott M. M. Graham, Jeremy D. W. Greenlee
Summary: Endoscopic repair of skull base defects following intracranial pathology resection is necessary but controversial. This study analyzed 560 procedures on 508 patients over a 15-year period, finding that reconstructive technique, extent of resection, and patient BMI significantly influenced cerebrospinal fluid leak rate.
Article
Neurosciences
Di Wang, Nicolas Honnorat, Peter T. Fox, Kerstin Ritter, Simon B. Eickhoff, Sudha Seshadri, Mohamad Habes
Summary: We compared three heatmap methods derived from deep neural networks and SVM activation patterns to analyze structural MRI scans of subjects with Alzheimer's disease. Our results showed that all three heatmap methods were able to capture brain regions more accurately than SVM activation patterns, and the Integrated Gradients method had the best overlap with the independent meta-analysis.
Review
Behavioral Sciences
Arianna Sala, Aldana Lizarraga, Silvia Paola Caminiti, Vince D. Calhoun, Simon B. Eickhoff, Christian Habeck, Sharna D. Jamadar, Daniela Perani, Joana B. Pereira, Mattia Veronese, Igor Yakushev
Summary: Brain connectomics has become a major concept in neuroscience, and molecular imaging provides unique information that is inaccessible to MRI-based and electrophysiological techniques. Therefore, we encourage an integrative approach to better understand the brain connectome by combining MRI, electrophysiological techniques, and molecular imaging.
TRENDS IN COGNITIVE SCIENCES
(2023)
Article
Medicine, General & Internal
Bastian Cheng, Ji Chen, Alina Koenigsberg, Carola Mayer, Leander Rimmele, Kaustubh R. Patil, Christian Gerloff, Gotz Thomalla, Simon B. Eickhoff
Summary: This study used advanced machine learning techniques to analyze the dimensional structure of NIHSS and identified a five-dimensional representation, including left motor deficits, right motor deficits, dysarthria and facial palsy, language, and deficits in spatial attention and gaze. The study also validated the neurobiological basis of these dimensions through neuroanatomical and functional analysis, providing a valuable anatomical map for individualized stroke treatment and rehabilitation.
Article
Clinical Neurology
Jan Kasper, Simon B. Eickhoff, Svenja Caspers, Jessica Peter, Imis Dogan, Robert Christian Wolf, Kathrin Reetz, Juergen Dukart, Michael Orth
Summary: Kasper et al. found that in Huntington's disease, the functional integrity of the dopamine receptor-rich caudate nucleus plays a crucial role in maintaining network function. Loss of caudate functional integrity leads to motor signs independent of atrophy. This finding may have implications for other neurodegenerative diseases.
Article
Neurosciences
Shammi More, Georgios Antonopoulos, Felix Hoffstaedter, Julian Caspers, Simon B. Eickhoff, Kaustubh R. Patil
Summary: The difference between predicted age based on brain scans and chronological age can be used as a proxy for atypical aging. Different data representations and machine learning algorithms have different effects on performance criteria such as accuracy, generalizability, reliability, and consistency. The choice of feature representation and machine learning algorithm both affect performance, and further evaluation and improvements are needed for real-world application.
Article
Neurosciences
Andrew Meier, Scott Kuzdeba, Liam Jackson, Ayoub Daliri, Jason A. Tourville, Frank H. Guenther, Jeremy D. W. Greenlee
Summary: This study investigates the spatial and temporal representations of phonological units in spoken language. The researchers found that the encoding of phonological units varies depending on their duration and onset time. The location of strong speech-encoding electrodes also correlates with phonological features.
Article
Clinical Neurology
Julius M. Kernbach, Daniel Delev, Georg Neuloh, Hans Clusmann, Danilo Bzdok, Simon B. Eickhoff, Victor E. Staartjes, Flavio Vasella, Michael Weller, Luca Regli, Carlo Serra, Niklaus Krayenbuehl, Kevin Akeret
Summary: Using an unsupervised pattern discovery strategy, we have identified generalizable topological patterns in both neuroepithelial tumors and brain metastases. The differences in histopathologic profiles and prognosis of these anatomical tumor classes provide insights into the heterogeneity of tumor biology and may contribute to personalized clinical decision-making.
BRAIN COMMUNICATIONS
(2022)