[HTML][HTML] Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization
Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
[HTML][HTML] BrainStat: A toolbox for brain-wide statistics and multimodal feature associations
Abstract Analysis and interpretation of neuroimaging datasets has become a
multidisciplinary endeavor, relying not only on statistical methods, but increasingly on …
multidisciplinary endeavor, relying not only on statistical methods, but increasingly on …
[HTML][HTML] Emerging materials, wearables, and diagnostic advancements in therapeutic treatment of brain diseases
Among the most critical health issues, brain illnesses, such as neurodegenerative conditions
and tumors, lower quality of life and have a significant economic impact. Implantable …
and tumors, lower quality of life and have a significant economic impact. Implantable …
iEEG‐recon: a fast and scalable pipeline for accurate reconstruction of intracranial electrodes and implantable devices
Objective Clinicians use intracranial electroencephalography (iEEG) in conjunction with
noninvasive brain imaging to identify epileptic networks and target therapy for drug‐resistant …
noninvasive brain imaging to identify epileptic networks and target therapy for drug‐resistant …
[HTML][HTML] Morphometric network-based abnormalities correlate with psychiatric comorbidities and gene expression in PCDH19-related developmental and epileptic …
Abstract Protocadherin-19 (PCDH19) developmental and epileptic encephalopathy causes
an early-onset epilepsy syndrome with limbic seizures, typically occurring in clusters and …
an early-onset epilepsy syndrome with limbic seizures, typically occurring in clusters and …
Atypical intrinsic neural timescales in temporal lobe epilepsy
Objective Temporal lobe epilepsy (TLE) is the most common pharmacoresistant epilepsy in
adults. Here we profiled local neural function in TLE in vivo, building on prior evidence that …
adults. Here we profiled local neural function in TLE in vivo, building on prior evidence that …
Atypical connectome topography and signal flow in temporal lobe epilepsy
Temporal lobe epilepsy (TLE) is the most common pharmaco-resistant epilepsy in adults.
While primarily associated with mesiotemporal pathology, recent evidence suggests that …
While primarily associated with mesiotemporal pathology, recent evidence suggests that …
Preoperative white matter network organization and memory decline after epilepsy surgery
OBJECTIVE Risk for memory decline is a common concern for individuals with temporal
lobe epilepsy (TLE) undergoing surgery. Global and local network abnormalities are well …
lobe epilepsy (TLE) undergoing surgery. Global and local network abnormalities are well …
Altered spread of waves of activities at large scale is influenced by cortical thickness organization in temporal lobe epilepsy: a magnetic resonance imaging–high …
Temporal lobe epilepsy is a brain network disorder characterized by alterations at both the
structural and the functional levels. It remains unclear how structure and function are related …
structural and the functional levels. It remains unclear how structure and function are related …
[HTML][HTML] Exploring functional dysconnectivity in schizophrenia: alterations in eigenvector centrality mapping and insights into related genes from transcriptional profiles
Y Ji, M Cai, Y Zhou, J Ma, Y Zhang, Z Zhang, J Zhao… - Schizophrenia, 2024 - nature.com
Schizophrenia is a mental health disorder characterized by functional dysconnectivity.
Eigenvector centrality mapping (ECM) has been employed to investigate alterations in …
Eigenvector centrality mapping (ECM) has been employed to investigate alterations in …