Neda Kaboodvand

Publikationer
Forskningsbidrag
Populärvetenskap och samverkan

Artiklar

Article: BRAIN. 2023;146(7):2792-2802

Multisite thalamic recordings to characterize seizure propagation in the human brain

Wu TQ; Kaboodvand N; McGinn RJ; Veit M; Davey Z; Datta A; Graber KD; Meador KJ; Fisher R; Buch V; Parvizi J
Journal article: NEUROSURGERY. 2023;69(Supplement_1):93

452 Booting Up the Brain: Intracranial Electroencephalography Reveals Cognitive Network Dynamics During Anesthesia Emergence

Purger DA; Eagleman S; Arikan L; Reid B; Kaboodvand N; Halpern CH; Drover D; Razavi B; Meador K; Buch V
Article: PLOS COMPUTATIONAL BIOLOGY. 2023;19(3):e1010958

Macroscopic resting state model predicts theta burst stimulation response: A randomized trial

Kaboodvand N; Iravani B; van den Heuvel M; Persson J; Boden R
Article: CELL BIOLOGY AND TRANSLATIONAL MEDICINE, VOL 14: STEM CELLS IN LINEAGE SPECIFIC DIFFERENTIATION AND DISEASE. 2022;1359:313-355

Whole-Brain Modelling: Past, Present, and Future.

Griffiths JD; Bastiaens SP; Kaboodvand N
Article: NEUROIMAGE-CLINICAL. 2022;36:103266

Parkinson's disease is characterized by sub-second resting-state spatio-oscillatory patterns: A contribution from deep convolutional neural network

Shabanpour M; Kaboodvand N; Iravani B
Article: NEUROIMAGE. 2021;231:117844

Whole-brain modelling of resting state fMRI differentiates ADHD subtypes and facilitates stratified neuro-stimulation therapy

Iravani B; Arshamian A; Fransson P; Kaboodvand N
Article: NEUROIMAGE. 2020;207:116347

Dynamic synergetic configurations of resting-state networks in ADHD

Kaboodvand N; Iravani B; Fransson P
Journal article: BRAIN STIMULATION. 2019;12(2):590

Predicting Brain Perturbation Patterns Using Computational Modeling of Whole Brain Dynamics

Kaboodvand N; Iravani B; Fransson P
Journal article: BRAIN STIMULATION. 2019;12(2):590

Localize target regions for excitatory stimulation in psychiatric disorders: contributions from mathematical modeling

Iravani B; Kaboodvand N; Arshamian A
Article: NETWORK NEUROSCIENCE. 2019;3(4):1094-1120

Adaptive frequency-based modeling of whole-brain oscillations: Predicting regional vulnerability and hazardousness rates

Kaboodvand N; van den Heuvel MP; Fransson P
Article: HUMAN BRAIN MAPPING. 2018;39(5):2020-2034

The retrosplenial cortex: A memory gateway between the cortical default mode network and the medial temporal lobe

Kaboodvand N; Backman L; Nyberg L; Salami A
Article: CEREBRAL CORTEX. 2016;26(10):3953-3963

Longitudinal Evidence for Dissociation of Anterior and Posterior MTL Resting-State Connectivity in Aging: Links to Perfusion and Memory

Salami A; Wahlin A; Kaboodvand N; Lundquist A; Nyberg L
Article: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA. 2016;113(28):7918-7923

Dopamine D2 receptor availability is linked to hippocampal-caudate functional connectivity and episodic memory

Nyberg L; Karalija N; Salami A; Andersson M; Wahlin A; Kaboovand N; Kohncke Y; Axelsson J; Rieckmann A; Papenberg G; Garrett DD; Riklund K; Lovden M; Lindenberger U; Backman L

Alla övriga publikationer

Preprint: BIORXIV. 2022

Multisite Thalamic Recordings to Characterize Seizure Propagation in the Human Brain

Wu TQ; Kaboodvand N; Veit M; McGinn RJ; Davey Z; Datta A; Graber KD; Meador KJ; Fisher R; Buch V; Parvizi J
Preprint: SSRN ELECTRONIC JOURNAL. 2022

Parkinson's Disease is Characterized by Sub-Second Resting State Spatio-Oscillatory Patterns: A Contribution from Deep Convolutional Neural Network

Shabanpour M; Kaboodvand N; Iravani B
Preprint: BIORXIV. 2020

Whole-brain modelling of resting state fMRI differentiates ADHD subtypes and facilitates stratified neuro-stimulation therapy

Iravani B; Arshamian A; Fransson P; Kaboodvand N
Thesis / dissertation: 2019

Modelling and quantifying brain connectivity and dynamics with applications in aging and ADHD

Kaboodvand, Neda
Preprint: BIORXIV. 2019

Dynamic synergetic configurations of resting-state networks in ADHD

Kaboodvand N; Iravani B; Fransson P
Preprint: NETWORK NEUROSCIENCE. 2019

Adaptive frequency-based modeling of whole-brain oscillations: Predicting regional vulnerability and hazardousness rates

Kaboodvand N; Heuvel MPVD; Fransson P
Conference publication: 2013;:155-160

Extracting and study of synchronous muscle synergies during fast arm reaching movements

Kaboodvand N; Towhidkhah F; Gharibzadeh S

Forskningsbidrag

Developing tailored neurostimulation therapy for methamphetamine addiction with the help of computational modeling.

Swedish Research Council

1 July 2020 - 30 June 2023

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