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Attention-deficit hyperactivity disorder (ADHD) is a neurobiological condition that affects both children and adults. Microstate (MS) analyses, a data-driven approach that identifies stable patterns in EEG signals, offer valuable insights into the neurophysiological characteristics of ADHD. This review summarizes findings from 13 studies that applied MS analyses to resting-state and task-based brain activity in individuals with ADHD.

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High-order network degree revealed shared and distinct features among schizophrenia, bipolar disorder and ADHD.

Neuroscience

January 2025

School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an, China; State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an, China; National Demonstration Center for Experimental Mechanics Education, Xi'an Jiaotong University, Xi'an, China. Electronic address:

Schizophrenia (SCHZ), bipolar disorder (BD), and attention-deficit/hyperactivity disorder (ADHD) share clinical symptoms and risk genes, but the shared and distinct neural dynamic mechanisms remain inadequately understood. Degree is a fundamental and important graph measure in network neuroscience, and we here extended the degree to hierarchical levels based on eigenmodes and compared the resting-state brain networks of three disorders and healthy controls (HC). First, compared to HC, SCHZ and BD patients exhibited substantially overlapped abnormalities in brain networks, wherein BD patients displayed more significant alterations.

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Background: Attention-deficit/hyperactivity disorder (ADHD) is a common neuro-developmental disorder that often persists into adulthood. Moreover, it is frequently accompanied by bipolar disorder (BD) as well as borderline personality disorder (BPD). It is unclear whether these disorders share underlying pathomechanisms, given that all three are characterized by alterations in affective states, either long or short-term.

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While several rating scales reliably and cost-effectively assess behavioral executive functioning (EF) in youths with neurodevelopmental disorders (NDDs), questions remain about the impact of comorbidities and dual NDDs on EF as measured by these scales in clinical samples. This study compared behavioral EF profiles among youths with NDDs, both with and without psychiatric comorbidities, non-NDDs (e.g.

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Differences in impulsivity between adolescents with ADHD and those with comorbidity of ADHD and IGD.

Res Dev Disabil

January 2025

Department of Psychiatry, Affiliated Kangning Hospital of Ningbo University, Ningbo Key Laboratory for Physical Diagnosis and Treatment of Mental and Psychological Disorders, Ningbo, Zhejiang 315201, China; Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang 315201, China. Electronic address:

Article Synopsis
  • The study investigates the differences in impulsivity between adolescents with only ADHD and those with both ADHD and Internet gaming disorder (IGD).
  • A total of 81 patients with ADHD alone and 59 with comorbid ADHD and IGD were assessed using several tasks measuring impulsivity.
  • Results showed that those with comorbid ADHD and IGD exhibited higher impulsivity across different dimensions, highlighting specific risk factors that can aid in distinguishing the conditions for better treatment approaches.
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